OMB No. 1615-0061; Expires 01/31/2015 Form I-924A,, :., Supplement to Form 1-924: Department of Homeland Security U.S. Citizenship and Immigration Services Part 1. Information About Principal of the Regional Center ----------------------------------r-~------------------~r---------------------- Name: Last MASTROIANNI First Middle NICHOLAS A. :, . '. ·, '' - - - - - - - - - - - - - - - - - - - L - - - - - - - - - - - - ' - - - - - - - - - - - - - - . ! .. JnCareOf: U.S. IMMIGRATION FUND-NJ, LLC Street Address/P.O. Box: 115 FRONT STREET, SUITE 300 City: JUPITER I State: FL (b)(S) Date ofBirth,....------.Fax Number (mmlddlyyyy (include area code): ( 5 61) 7 9 9-0 0 61 lzipCode: 33477 Telephone Number (includeareacode): (561) 799-1883 Web site address: www. vi saeb- 5. com USC IS-assigned number for the Designated Regional Center (attach the Regional Center's most recently issued approval notice) RCW 123 625 0 92 5 I I. D. 12 3 625 0 92 5 Part 2. Application Type (check one) 18] a. Supplement for the Fiscal Year Ending September 30, 2 0 14 (YYYJ') b. Supplement for a Series of Fiscal Years Beginning on October 1, _ _ (YYYJ') and Ending on September 30, (YYYJ') Part 3. Information About the Regional Center (Use a continuation sheet, if needed, to provide information for additional management companies/agencies, regional center principals, agents, individuals, or entities who are or will be involved in the management, oversight, and administration of the regional center.) A. Name of Regional Center: U.S. IMMIGRATION FUND-NJ, LLC Street Address/P.O. Box: 115 FRONT STREET, SUITE 300 State: FL City: JUPITER Web site www. visaeb-5. com Address: Fax Number (include area code): ( 5 61 ) 7 9 9 - 0 0 61 Zip Code: 334 77 Telephone (include area code): ( 5 61 ) 7 9 9- 18 8 3 B. Name of Managing Company/Agency: U.S. IMMIGRATION FUND LLC StreetAddress/P.O.Box: 115 FRONT STREET, SUITE 300 City: JUPITER [ State: FL Web site www. visaeb-5. com Address: [zip Code: 334 77 Fax Number (561) 799-0061 Telephone (561) 799-1883 (include area code): (include area code): C. Name of Other Agent: N I A Street Address/P.O. Box: City: I State: Fax Number (include area code): Web site lllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllll Izip Code: Telephone (include area code): Fonn I-924A 01103/' RCW14349521 01 egarcia2 1924A 12/15/2014 1 Part 3. Information About the Regional Center (Continued) Answer the following questions for the time period identified in Part 2 of this form. Note: If extra space is needed to complete any item, attach a continuation sheet, indicate the item number, and provide the response. 1. Identify the aggregate EB-5 capital investment and job creation has been the focus of EB-5 capital investments sponsored through the regional center. (Note: Separately identify jobs maintained through investments in "troubled businesses.") I A EB-5 Capital Investment UT OF ESCROW Aggregate Jobs Maintained Aggregate Direct and Indirect Job Creation PROJECT UNDER CONSTRUCTION N/A (b)(4) 2. Identify each industry that has been the focus of EB-5 capital investments sponsored through the Regional Center, and the resulting aggregate EB-5 capital investment and job creation. (Note: Separately identify jobs maintained through investments in "troubled businesses".) a. Industry Category Title: NAJCS Code for the Industry Category 2 CONSTRUCTION 3 2 6 --- Aggregate EB-5 Capital Investment: Aggregate Direct and Indirect Job Creation: Aggregate Jobs Maintained: SEE EXHIBIT 3.2 PROJECT ONDER CONSTRUCTION N/A b. Industry Category Title: NAICS Code for the Industry Category N/A ----- Aggregate EB-5 Capital Investment: Aggregate Direct and Indirect Job Creation: c. Industry Category Title: Aggregate Jobs Maintained: NAICS Code for the Industry Category N/A -- Aggregate EB-5 Capital Investment: Aggregate Direct and Indirect Job Creation: Aggregate Jobs Maintained: 3. Provide the following information for each job creating commercial enterprise located within the geographic scope of your regional center that has received EB-5 investor capital: Industry Category Title: a. Name of Commercial Enterprise: NAICS 2362 & CODES IN EXHIBIT 3.3.A 65 BAY STREET FUNDING, LLC (b)(4) Address (Street Number and Name): City: State: Zip Code: 115 FRONT ST., STE. 300 JUPITER FL 33477 "' ...., ita! Investment: EE EX 3.3.A Aggregate Direct and Indirect Job Creation: Aggregate Jobs Maintained: PROJECT ONDER CONSTRUCTION N/A Does this EB-5 commercial enterprise serve as a vehicle for investment into other business entities that have or will create or maintain jobs for EB-5 purposes? 0 No ~Yes Form I-924A 01/03113 Y Page 2 2 Part 3. Information About the Regional Center (Continued) If yes, then identifY the name and address of each job creating business, as well as the amount of EB-5 capital investment and job creation/maintenance associated with each job creating business. Industry Category Title: (1) Business Name: MORGAN STREET DEVELOPERS URBAN RENEWAL co. NAICS 2362 & CODES IN EXHIBIT 3.3.A Address (Street Number and Name): City: State: Zip Code: 666 FIFTH AVE. NEW YORK NY 10103 EB-5 Capital Investment: Direct and Indirect Job Creation: Jobs Maintained: PROJECT UNDER CONSTRUCTION N/A (b)(4) EE EX 3.3.A Industry Category Title: N/A Address (Street Number and Name): City: State: EB-5 Capital Investment: Direct and Indirect Job Creation: Jobs Maintained: b. Name of Commercial Enterprise: Zip Code: Industry Category Title: N/A Address (Street Number and Name): City: State: Zip Code: FL Aggregate EB-5 Capital Investment: Aggregate Direct and Indirect Job Creation: Aggregate Jobs Maintained: Does this EB-5 commercial enterprise serve as a vehicle for investment into other business entities that have or will create or maintain jobs for EB-5 purposes? D No 0 Yes If yes, then identifY the name and address of each job creating business, as well as the amount of EB-5 capital investment and job creation/maintenance associated with each job creating business. Industry Category Title: (1) Business Name: N/A Address (Street Number and Name): City: State: Zip Code NY EB-5 Capital Investment Direct and Indirect Job Creation Jobs Maintained Form I-924A 01103/13 Y Page 3 3 Part 3. Information About the Regional Center (Continued) (2) Business Name: Industry Category Title: N/A Address (Street Number and Name): City: EB-5 Capital Investment: Direct and Indirect Job Creation: c. Name of Commercial Enterprise: State: Zip Code: Jobs Maintained: Industry Category Title: N/A Address (Street Number and Name): City: State: Zip Code: FL Aggregate EB-5 Capital Investment: Aggregate Direct and Indirect Job Creation: Aggregate Jobs Maintained: Does this EB-5 commercial enterprise serve as a vehicle for investment into other business entities that have or will create or maintain jobs for EB-5 purposes? No 0 Yes If yes, then identify the name and address of each job creating business, as well as the amount of EB-5 capital investment and job creation/maintenance associated with each job creating business. Industry Category Title: (1) Business Name: N/A Address (Street Number and Name): City: State: Zip Code: NY EB-5 Capital Investment: Direct and Indirect Job Creation: (2) Business Name: Jobs Maintained: Industry Category Title: N/A Address (Street Number and Name): City: State: EB-5 Capital Investment: Direct and Indirect Job Creation: Jobs Maintained: Zip Code: Form I-924A 01/03113 Y Page 4 4 Part 3. Information About the Regional Center (Continued) d. Name of Commercial Enterprise: Industry Category Title: N/A Address (Street Number and Name): City: Aggregate EB-5 Capital Investment: Aggregate Direct and Indirect Job Creation: Aggregate Jobs Maintained: State: Zip Code: Does this EB-5 commercial enterprise serve as a vehicle for investment into other business entities that have or will create or maintain jobs for EB-5 purposes? 0 No Yes If yes, then identify the name and address of each job creating business, as well as the amount of EB-5 capital investment and job creation/maintenance associated with each job creating business. (1) Business Name: Industry Category Title: N/A Address (Street Number and Name): City: State: EB-5 Capital Investment: Direct and Indirect Job Creation: Jobs Maintained: (2) Business Name: Zip Code: Industry Category Title: N/A Address (Street Number and Name): City: State: EB-5 Capital Investment: Direct and Indirect Job Creation: Jobs Maintained: Zip Code: Industry Category Title: e. Name of Commercial Enterprise: N/A Address Street Number and Name: City: Aggregate EB-5 Capital Investment: Aggregate Direct and Indirect Job Creation: Aggregate Jobs Maintained: State: Does this EB-5 commercial enterprise serve as a vehicle for investment into other business entities that have or will create or maintain jobs for EB-5 purposes? Zip Code: No 0 Yes Form I-924A 01/03113 Y Page 5 5 Part 3. Information About the Regional Center (Continued) If yes, then identifY the name and address of each job creating business, as well as the amount of EB-5 capital investment and job creation/maintenance associated with each job creating business. (1) Business Name: Industry Category Title: N/A Address (Street Number and Name): City: EB-5 Capital Investment: Direct and Indirect Job Creation: State: (2) Business Name: Zip Code: Jobs Maintained: Industry Category Title: N/A Address (Street Number and Name): City: EB-5 Capital Investment: Direct and Indirect Job Creation: State: Zip Code: Jobs Maintained: 4. Provide the total number of approved, denied and revoked Form I-526 petitions filed by EB-5 investors making capital investments sponsored by the regional center. (Note: If an adverse action was ultimately reversed and the petition was approved, then note the case as approved.) Form 1-526 Petition Final Case Actions (b)(4) A Denied 0 Revoked 0 5. Provide the total numoer or a pprovea, aemed and revoked Form 1-829 petitions filed by EB-5 investors making capital investments sponsored by the regional center. (Note: If an adverse action was ultimately reversed and the petition was approved, then note the case as approved.) Form 1-829 Petition Final Case Actions Approved 0 Denied 0 Revoked 0 NOTE: USCIS may require case-specific data relating to individual EB-5 petitions and the job creation determination and further information regarding the allocation methodologies utilized by a regional center in certain instances in order to verifY the aggregate data provided above. Form I-924A 01103113 Y Page 6 6 Part 4. Applicant Signature Read the information on penalties in the instructions before completing this section. If someone helped you prepare this petition, he or she must compete Part 5. I certifY, under pena of perjUry under the laws of the United States of America, that this supplemental form and the evidence submitted with it . e all true artd correct. I authorize the release of any information from my records that U.S. Citizenship and 1 Immigration Se . ices needs td determine eligibility for the benefit being sought. I also certifY that I have authority to act on behalf of 1 the Re~· n er. Printed Name of Applicant Date (mmldd/yyyy) NICHOLAS A. MASTROIANNI Daytime Phone Number (Area/Country Codes) E-Mail Address NICK@USIFUND.COM (561)799-1883 Relationship to the Regional Center Entity (Managing Member, President, CEO, etc.) PRESIDENT & CEO Part 5. Signature of Person Preparing This Form, If Other Than Above (Sign Below) I declare that I prepared this form using information provided by someone with authority to act on behalf of the Regional Center, and the answers and information are those provided by the Regional Center. / Attorney or Representative: In the event of a Request for Evidence (RFE), may the USCIS contact you by Fax or E-mail? D No ~/rre~r~." Printed Name of Preparer Date (mm/ddlyyyy) IGNACIO A. DONOSO !d. II/ /;'I i1jlf3tu vf~~t~ Firm fame and Add res~~ ~Yes 7 DONOSO & ASSOCIATES, LLC 4720 MONTGOMERY LANE, SUITE 430 BETHESDA, MD 20814 I. A. Daytime Phone Number (Area/Country Codes) (301) 276-0653 Fax Number (Areal Country Codes) E-Mail Address IGNACIO.DONOSO@DONOSOLAW.COM Form I-924A 01/03/13 Y Page 7 7 U.S. Immigration Fund-NJ, LLC Form I-924A- Supplement for Annual Reporting 2014 Unique Identifier I.D. # RCW 1236250925 Year Ending: Sept. 30, 2014 Exhibit 3.2 - Response to Part 3, Box 2 All Industries of Focus & Aggregate EB-5 Investment 1. Residential Building Construction 2361 Cumulative (Below) 2. Nonresidential Building Construction 2362 Cumulative (Below) Architectural, Engineering & Related 5413 Cumulative (Below) Lessors of Residential Buildings * 5311 Cumulative (Below) Real Estate Property Managers 5313 Cumulative (Below) Wholesale Trade 4200 Cumulative (Below) AGGREGATE EB-5 CAPITAL INVESTMENT: (b)(4) *New Industry Codes added pursuant to the EB-5 Policy Memorandum of May 30, 2013 regarding investments in the 65 Bay Street Project sponsored by the U.S. Immigration Fund-NJ, LLC. 8 U.S. Immigration Fund-NJ, LLC Form I·924A- Supplement for Annual Reporting 2014 Unique Identifier I.D. # RCW 1236250925 Year Ending: Sept. 30, 2014 Exhibit 3.3.A- Response to Part 3, Box 3.a 65 Bay Street Funding, LLC 6. (b)(4) Nonresidential Building Construction 2362 Cumulative (Below) Architectural, Engineering & Related 5413 Cumulative (Below) Lessors of Residential Buildings * 5311 Cumulative (Below) Real Estate Property Managers 5313 Cumulative (Below) Wholesale Trade 4200 Cumulative (Below) AGGREGATE EB-5 CAPITAL INVESTMENT ....... 1 _ _____. * New Industry Code added pursuant to the EB-5 Policy Memorandum of May 30, 2013 regarding investments in the 65 Bay Street Project sponsored by the U.S. Immigration Fund-NJ, LLC. ** As of October 1, 2014 9 Confidentialhtlonnation I.A.DONOSO & ASSOCIATES, LLC December 12, 2014 U.S. Citizenship & Immigration Services California Service Center Attn: EB-5 Processing Unit 24000 Avila Road, 2nd Floor Laguna Niguel, CA 92677 Via Federal Express Re: Form I-924A- Regional Center Annual Reporting- FY 2014 U.S. Immigration Fund-NJ, LLC RCW1236250925/I.D.1236250925 Dear Immigration Officer, Enclosed is the completed Form I-924A, Annual Reporting Supplement, for the U.S. Immigration Fund-NJ, LLC. Please Note: The U.S. Immigration Fund-NJ, LLC changed its address in December of 2014 to the following: 115 Front Street, Suite 300, Jupiter, Florida 33477 We trust that the enclosed Form I-924A and the accompanying evidence complies with the annual reporting requirements established by the USCIS. Please do not hesitate to contact me at (301) 2760653 or by email at ignacio.donoso@donosolaw.com. I.A. Donoso & Associates, LLC 'I ( <::~---, 1 ~\ ~ ~· . vlJV0 jJ ' CJ Igna · Don ~ ·ng Attorney cc: U.S. Immigration Fund-NJ, LLC 4720 MONTGOMERY LANE +:• SUITE 430 •:• BETHESDA<- MD 20814 +:• TEL. (301) 276-0653 WWW .DONOSOLAW .COM 10 U.S. Immigration Fund-NJ, LLC Form I-924A- Supplement for Annual Reporting 2014 Unique Identifier I.D. # RCW 1236250925 Year Ending: Sept. 30, 2014 USCIS Regional Center Approval Letter for the U.S. Immigration Fund-NJ, LLC 11 U.S. Department of Homeland Security 24000 Avila Road, 2"~ Floor Laguna Niguel, CA 92677 U.S. Citizenship and Immigration Services Date: MAY 2 9 2013 Nicholas A. Mastroianni U.S. hnmigration Fund- NJ, LLC 1295 U.S. Highway 1, Suite 300 North Palm Beach, FL 33408 Application: Form 1-924, Application for Regional Center under the Im111igrant Investor Pilot Program Applicant(s): Re: Nicholas A. Mastroianni Initial Regional Center Designation U.S. Immigration Fund- NJ, LLC RCW 1236250925 I RCW 1236250925 This notice is in reference to the Form I-924, Application for Regional Center Under the Immigrant Investor Pilot Program that was filed by the applicant with the U.S. Citizenship and Immigration Services ("USC.IS") on December 27, 2012. The Form I-924 application was filed to request' approval of initial regional center designation under the Immigrant Investor Program. The Immigrant Investor Program was established under § 61 0 of the Department of Commerce, Justice and State, the Judiciary. and Related AgenciesAppropriationsActofl993 (Pub.L. 102-395,0ct. 6,1992, 106Stat.l874). I. Executive Swnmary of Adjudication I. Effective the date of this notice, USCIS approves the Fonn I-924 request to designate U.S. Immigration Fund- NJ, LLC as a qualifying participant in the Immigrant Investor Program. II. Regional Center DesignatiQ!! USCIS approves the applicant's request to focus, proi:note economic growth, and offer capital investment opportunities in the following geographic area and industry categories: www.uscis.gov 12 U.S Immigration Fund- NJ. LLC I RCW1236250925/ ID Page 2 of 4 A. Geographic Area Note: An amendment request is required if investment opportunities arise outside approved geographic area. B. Industry Categories ......__ • · 0 N".Alt{ ·' ·; · ·, ,;.. ,t·: · .·' :··\ :· ., . ,~- • . '. ·... :'ind.ustiy N~e._;,:::.._. .....,__;_:___;.·;_.____..__--...;______ ____ ?._~---.Bonresidential ~uilding Construction 2361 Residential Building.....:C:.:o:.::n:::.:st:::.:ru::c:.::tio:.:n:::.__ _ _ _ _ _ _ _ _ _ _ _ _ _-1 5313 Real Estate Property Managers 5413 Architectural, Engineering, and Relat~:.::d:.::S:.:::er::..;v.:.:ic:.:e.:..s-------------~ 4200 ..,, ' •Trade Note: . An amendrnent request is required if investment opportunities arise outside approved industry categories. IlL Iob Creation USCIS approves the geographic area and industry categories noted above based on the economic impact analysis presented and reviewed in conjunction with the adjudication of this regional center proposal. The job creation methodology presented in the economic impact analysis and underlying business plan is found to be teasonable based on the following inputs, when applying the RIMS II economic model: (b)(4) ,·:.:·:·:,: 4200 53111 Rental Income Operations * Indirect and induced jobs only The approval of this Form I-924 application is based upon the economically and statistically valid assumptions and estimates provided in the business plan for job creation. Please refer to the input and multiplier analysis table above. 'This actual project does not have the factual details necessary to be in compliance with the requirements described in Matter ofHo, 22 I&N Dec. 206 (Assoc. Comm'r 1998), and therefore, USCIS's approval of the hypothetical job creation estimates presented in the Form 1-924 Will not be accorded deference and may not be relied upon by an individual investor when filing the Form I-526. The business plan and job 13 U.S Immigration Fund NJ, LLC I RCW1236250925/ ID Page 3 of 4 creation estimates will receive a de novo review by USCIS when an individual investor files Form I-526. Once an actual project is adjudicated upon the filing of the initial Form I-526 related to the 1~924 hypothetical project approval, USCIS will give deference to subsequent Forms I~526 when the critical assmnptions remain materially unchanged from the initially-approved Fonn I-526. When filing Form 1"526, it will be the responsibility of the individual investor to submit a comprehensive, detailed and credible business plan, showing by a preponderance of the evidence that his or her investment in the new commercial enterprise will create not fewer than 10 full-time positions. If prior to filing a form I-829, the job creation estimated in the business plan submitted by the individual investor materially changes or will not be realized, then it will be the responsibility of the EB-5 investor to notify USCIS of an agreed upon methodology to allocate job creation among eligible investors. V. Guidelines for Filing Form I-526 Petitions Each i:fJ.dividual petition, in order to demonstrate that it is affiliated with' the U.S. Immigration Fund NJ, LLC, in conjunction wit:h addressing all the requirements for an individual immigrant investor petition, shall also contain the following: 1. A copy of this regional center approval notice and designation letter including all subsequent amendment approval letters (if applicable). 2. An economic impact analysis which reflects a job creation methodology required at 8 CFR § 204.6 (j)(4)(iii) and shows how the capital investment by an individual immigrant investor will create not fewer than ten (I 0) indirect jobs for each immigrant investor. 3. A comprehensive, detailed and credible business plan for an actual project that contains the factual details necessary to be in compliance with the requirements described in Matter of Ho, 22 I&N Dec. 206 (Assoc. Comm'r 1998). 4. Legally executed organizational documents of the commercial enterprise. VI. Designee's Responsibilities in the Operations of the Regional Center As provided in 8 CFR § 204.6 (m)(6), to ensure that the regional center continues to meet the requirements of section 6IO(a) of the Appropriations Act, a regional center must provide USCIS with updated information to demonstrate the regional center is continuing ro promote economic growth, improved regional productivity. job creation, and increased domestic capital investment in the approved geographic area. Such information must be submitted to USCIS on an annual basis or as otherwise requested by USCIS. The applicant must monitor all investment activities under the sponsorship of the regional center and to maintain records in order to provide the information required on the Form I-924A Supplement to Form I-924. Form l-924A, Supplement to Form I-924 Application is available in the "Forms" section on the USCIS website at www.uscis.gov. 14 U.S Immigration Fund- NJ, LLC I RCW1236250925/ ID Page 4 of 4 Regional centers that remain designated for participation in the Immigrant Investor Program as of September 30th of a calendar year are required to file Form I-924A Supplement in that year. The Form I924A Supplement with the required supporting documentation must be filed on or before December 29th of the same calendar year. The failure to timely file a Form I-924A Supplement for each fiscal year in which the regional center has been designated for participation in the Immigrant Investor Program will result in the issuance of an intent to terminate the participation of the regional center in the Immigrant Investor Program, which may ultimately result in the termination of the designation of the regional center. The regional center designation is non-transferable, as any changes in management of the regional center will require the approval of an amendment to the approved regional center designation. If the applicant has any questions concerning the regional center designation under the Immigrant Investor Program, please contact the USCIS by email atUSCIS.ImmigrantinvestorProgram@uscis.dhs.~ov. Sincerely, Daniel' M. Renaud Acting Chief, Immigrant Investor Program cc: Ignacio A. Donoso, Esq. 15 FedEx Ship Manager- Print Yo·· Label(s) From: (301) 276-0653 Ignacio Donoso Origin ID: OBTA ~ ~. Express El 4720 Montgomery Lane Suite 430 BETHESDA, MD 20814 Page 1 of 1 Ship Date: 12DEC14 ActWrj. 1.0 LB CAD: 104983165/INET3550 Delivery Address Bar Code J142214002303uv SHIP TO: (800) 375-5283 BILL SENDER Ref# Il :r Attn: EB-5 Processing Unit USCIS, California Service Center 24000 Avila Road, 2nd Floor IIIIIIIW!~ ~~~II~ I~ ll~~lllll 1111111111111111111111 U.S. mnigl'lllion Fund· NJ, LLC _,,.v,rlf163 1}~ LAGUNA NIGUEL, CA 92677 TRKII I 0201 I 7722 0908 1049 XHJORA ·15 DECAA OVERNIGHT 92677 CA-US SNA 522G2/DC75/8AC9 After printing this label: 1. Use the 'Print' button on thrs page to print your label to your laser or ink;et pnnter :?. Fo!d Ute- printed p::tge along the horiz0r:~;~i !il'1e> 3. Place !abel tn s~l;pping p~)llCh ~~nd .!lftix it to your st1iprnent S\) t~at the barcode pO!'tJO~ of the label can t)e read and ;n;~anned Warning: Use only the printed original label for shipping. Using a photocopy of this label for shipping purposes is fraudulent and could result in add;lional billing charges. along witl1 the cancellation of your Fed Ex acce0unt number Use of tt1is system constitutes your agreement tc tt1e service cone responsible for any ciaim m excess of $100 per package, whettie~ u~e result of loss. damage. de~ay. norH1eilvery,;nisdehv!:lry,or m!sinformatlon, unless you declare a higher value, pay an addit1cna! charge. document your actuai loss and file a time!y claim Limitations found in the current F~dEx Serv1ce Guide appfy. Your right to ff.!Jcover from FedEx for any loss. inc!udHlg intrinsic value of the package loss of sates. income lntetest. profit. attomt:y'.s fees, costs and other forms of d8rnage whether dlrect lnck.!enta:,consequentla!. or special IB l1m1ted to U1e greater of $'i00 ot tt)e aLJthorized declared value extraordir.my vaiue is $1.000, e g ;ewelry, precious me1als. cia1ms must be fiie<: within str:ct time lim1ts, actual \iccumented !os:s.MF.S)(inJUrn tor 1terns of 3nd ether ;tams lrsted in our ServrceGlllde \l;~itten Gu1de https://www.fedex.com/shipping/shipAction.handle?method=doContinue 12/12/2014 16 ,,. t RECEIPT NUMBER CASE TYPE 1924A RCWI434952101 Supplement to Form 1-924 RECEIVED DATE APPLICANT MASTROIANNI , NICHOLAS A December 15, 2014 NOTICE DATE December 15, 2014 IGNACIO A DONOSO I A DONO SO ASSOCIATES LLC RE: US IMMIGRATION FUND NJ LLC 4720 MONTGOMERY LANE STE 430 BETHESDA MD 20814 PAGE I of I NOTICE TYPE: Receipt Notice Receipt Notice - This notice confirms that USCIS received your application or petition as shown above. Please reference the receipt number. above. on any correspondence with USCIS. If any of the above information is incorrect, please immediately contact us at USCIS.ImmigrantlnvestorProgram@dhs.gov to let us know. This will help avoid future problems. This notice does not grant any immigration status or benefit. It is not even evidence that this case is still pending. It only shows that the application or petition was filed on the date shown. Processing time Processing times vary by kind of case. You can check our website at www.uscis.gov for our current processing times for this kind of case at the particular office to which this case is or becomes assigned. If you do not receive an initial decision or update from us within our current processing time. email us at USCIS.ImmigrantlnvestorProgram@dhs.gov. Save this notice. and any other notice we send you about this case. and please make and keep a copy of any papers you send us by any means along with any proof of delivery to us. Please have all these papers with you if you contact us about this case. If your address changes -If your mailing address changes while you case is pending, notify us at USClS.ImmigrantlnvestorProgramla}dhs.gov. otherwise you may not receive notice of our action on this case. Please see the additional information on the back. You will be notified separately about any other cases you filed. U.S. CITIZENSHIP & IMMIGRATION SVC CALIFORNIA SERVICE CENTER P.O. BOX 30111 LAGUNA NIGUEL CA 92607-0111 1111111111111 111111111 IIIII IIIII 11111111111111111111 IIIII IIIII IIIII 11111111 Customer Service Telephone: (800) 375-5283 17 OMB No. 1615-0061; Expires 03!31/2016 Form I-924A, Supplement to Form 1-924 Department of Homeland Security U.S. Citizenship and Immigration S1:1rvices Part 1. Information About Principal of the Regional Center Name: Last MASTROIANNI First Middle NICHOLAS A. In Care Of: U.S. IMMIGRATION FUND-NJ, LLC ---------------------------------------------------------------------------------------Street Address/P.O. Box: 115 FRONT STREET 1 SUITE 300 I State: City: JUPITER (b)(6) IZip Code: FL Date of Birth ,__ _ _ _....,. Fax Number (mm/dd/yyyy):l (includeareacode): (561) 799-0061 Web site address: ~ ~ "' 334 77 Telephone Number (include area code): ( 5 61) 799-18 8 3 vlWW. visaeb-5. com USCIS-a.;;signed number for the Designated Regional Center (attach the Regional Center's most recently issued approval notice) RCW 1236250925/ I. D. 1236250925 Part 2. Application Type (Select one) [8] a. Supplement for the Fiscal Year Ending September 30. 2 015 (YYYJ] b. Supplement for a Series ofF iscal Years Begirming on October 1, (rYH) and Ending on September 30, OTYl} Part 3. Information About the Regional Center (Use a continuation sheet, if needed, to provide infonnation for additional management companies/agencies, regional center principals, agents, individun.ls, or entities who are or will be involved in the management, oversight, and administration of the regional center.) A. Name of Regional Center: U.S. IMMIGRATION FUND-NJ, LLC StreetAddress/P.O. Box: 115 FRONT STREET 1 SUITE 300 State: FL City: JUPITER Web site www. visaeb-5. com Address: ZipCode: 33477 Fax Number Telephone (includeareacode): ( 561 ) 799 - 0061 (includeareacode): (561) 799-1883 B. Name of Managing Company/Agency: U.S. IMMIGRATION FUND LLC StreetAddress/P.O. Box: 115 FRONT STREET, SUITE 300 City: JUPITER / State: FL Web site www. visaeb-5. com Address: IZipCode: 33477 FaxNumber (561) 799-0061 Telephone (561) 799-1883 (include area code): (include area code): C. Name of Other Agent: Street Acldress/P.O. Box: State: City: I\U\1111 Ill\ Ill Ill\ II IIIII Ill II IIIII 11111111111111111111111111111111111111 RCW1534453564 egarcia2 1924A Fax Ntm1ber (include area code): Zip Code: Telephone (include area code): Fonn I-924A 03/18/15 Y Page 1 12/1 0/2015 18 Part 3. Information About the Regional Center (Continued) Answer the following questions for the time period identified in Part 2 of this fonn. Note: If extra space is needed to complete any item, attach a continuation sheet, indicate tile item number, and provide the response. 1. Identity the aggregate EB-5 capital investment and job creation has been the focus ofEB-5 capital investments sponsored through the regional center. (Note: Separately identi(v jobs maintained through investments in "troubled businesses.") .I Aggregate EB-5 Capital Investment I Aggregate Jobs Maintained Aggregate Direct and Indirect Job Creation (b)(4~ I( Total in Progress) N/A 2. Identify each industry that has been ti1e focus ofEB-5 capital investments sponsored through tile Regional Center, and the resulting aggregate EB-5 capital investment and job creation. (Note: Separately identify jobs maintained through investments in ''troubled businesses''.) a. Industry Category 'l'itle: NAICS Code for the Industry Category CONSTRUCTION 2 Aggregate EB-5 Capital Investment: (b)(4) Aggregate Direct and Indirect Job Creation: I( Total in Progress) b. Industry Category lltle: 3 6 0 --- Aggregate Jobs Maintained: N/A NAICS Code for the Industry Category -----Aggregate EB-5 Capital Investment: Aggregate Direct and Indirect Job Creation: c. Industry Category Title: Aggregate Jobs Maintained: NAICS Code for the Industry Category -- Aggregate EB-5 Capital Investment Aggregate Direct and Indirect Job Creation: Aggregate Jobs Maintained: 3. Provide the following infonnation for each job creating commercial enterprise located within the geographic scope of your regional center that has received EB-5 investor capital: Industry Category Title: a. Name of Commercial Enterprise: 65 BAY STREET FUNDING LLC Address (Street Number and Name): CONSTRUCTION City: State: Aggregate Direct and Indirect Job Creation: Aggregate Jobs Maintained: Zip Code: SAME AS ABOVE Aggregate EB-5 Capital Investment: (b)(4) (In Progress) H . for investment into other business entities that Does ll11S co-;; commerctm e "t:1 v10 a" a V E. C. 1 1 zol E-Mail Address NICK@USIFUND.COM (561) 799-1883 Relationship to the Regional Center Entity (Managing Member, President, CEO, etc.) PRESIDENT & CEO Part 5. Signature of Person Preparing This Form, If Other Than Above (Sign Below) I declare that I prepared this form using information provided by someone with authority to act on behalf of the Regional Center, and the answers and information are those provided by the Regional Center. Attorney or Representative: In the event of a Request for Evidence (RFE), may the USCIS contact you by Fax or E-mail? 0 ' Pre parer Signature of Printed Name of Preparer Date (mm/dd/yyyy) IGNACIO A. DONOSO { l j ()~ }15- ......._.._,, ~ ~,-- :__tt,<.. Li ··~ q '\. \ ',D,f..-· <..'{.: .~ £; t No ~Yes I Firm Name and Address DONOSO & ASSOCIATES, LLC 4800 MONTGOMERY LANE, SUITE 640 BETHESDA, MD 20814 I. A. Daytime Phone Number (Area/Country Codes) (301) 276-0654 Fax Nurn ber (Area/ Country Codes) E-Mail Address IGNACIO.DONOSO@DONOSOLAW.COM Form I-924A 03/18/15 Y Page 7 24 l-924A Annual Reporting Supplement- 2015 U.S. Immigration Fund-NJ, LLC Fiscal Year Ending Sept. 30,2015 Offering No. l (b)(4) New Commercial Enterprise Name: 65 Bay Street Funding, LLC TEA Project: Yes Maximum Capital Raise: Maximum Number ofEB-5 Investors: Inception Date: 07/2013 1-526 Processing Progress as of09/30/2015 # of 1-526 Petitions Filed in F¥2014 # of 1-526 Petitions Approved # of 1-526 Petitions # of 1-526 Petitions Still Pending in FY 2014 Denied (see attached list of names and Rt>ceipt #'s) (b)(4) D D Since Inception: I Since Inception: D I D D []Inception: Since Inception: D 1-829 Processing Progress as of09/30/2015 # of 1-829 Petitions Filed (b)(4) #of 1-829 Petitions Approved # of 1-829 Petitions Denied # of 1-829 Petitions Still Pending (see attached list of names and Receipt #'s) D D D D Financial and Job Creation Progress as of09/30/2015 # oflnvestors # oflnvestors Subscribed in Funded Capital toNCE in FY Total EB-5 Capital Funded tu NCE ($)in 2014 FY2014 FY2014 (b)(4) D D olnception Total EB-5 Capital Loaned to Bormwer ($) D Total jobs Projected for Total Capital Raise D Totai:loils. created as of 09/30 based on money borrowed under Loan Project Under Construction Since Inception: D 25 I-924A Annual Reporting Supplement U.S. Immigration Fund-NJ, LLC Fiscal Year Ending Sept. 30, 2015 (b)(4) New Commercial Enterprise Name: Offering No. 2 65 Bay Street Funding, LLC TEA Project: Yes Maximum Capital Raise: Maximum Number ofEB-5 Investors: Inception Date: 05;2015 1-526 Processing Progress as of09/30/2015 # of I-526 Petitions Filed # of I-526 Petitions # of 1-526 Petitions Still Pending # of I-526 Petitions Denied Approved (see attached list of names and Receipt #'s) D ...__.....1 D D 1-829 Processing Progress as of 09/30/2015 # of I-829 Petitions Filed (see attached list of names and Receipt #'s) D #of I-829 Petitions Approved # of 1-829 Petitions Denied D # of I-829 Petitions Still Pending 0 D Financial and Job Creation Progress as of 09/30/2015 # of Investors Subscribed D #of Investors Funded Capital toNCE TotalEB-5 Capital Funded toNCE ($) Total EB-5 Capital Loaned to Borrower ($) Total jobs Projected for Total Capital Raise I ··~:o D Total Jobs created as of 09/30 based on money borrowed nnderLoan Project Under Construction (b)(4) 26 ' I.A. DONOSO & J\SSOCIJ\TfS, LLC December 9, 2015 U.5. Citizenship & Immigration Services California Service Center Attn: EB-5 Processing Unit 24000 Avila Road, 2nd Floor Laguna Niguel, CA 92677 Via Federal Express Re: Form I-924A- Regional Center Annual Reporting- 2015 U.S. Immigration Fund-NJ, LLC Dear Immigration Officer, Enclosed is the completed Form I-924A, Annual Reporting Supplement, for the U.S. Immigration Fund-NJ, LLC for fiscal year ending September 30,2015. We trust that the enclosed Form I-924A and the accompanying evidence complies with the annual reporting requirements established by the USCIS. Please do not hesitate to contact me at (301) 2760653 or by email at ignado.donosu'V}donosoluW.(\m1. LA. Donoso & Associates, LLC Managing Attorney 4800 Montgomery Lane Suite 640 Bethesda MD 20814 (301) 276-0653 www.aonosolaw.com , 27 RECEIPT NUMBER CASE TYPE I924A Supplement to Form 1-924 RCWJ534453564 APPLICANT MASTROIANNI. NICHOLAS A RECEIVED DATE December 10,2015 NOTICE DATE December 10,2015 U S IMMIGRATION FUND NJ LLC 115 FRONT ST STE 300 JUPITER FL 33477 PAGE I of I NOTICE TYPE: Receipt Notice Receipt Notice -This notice confirms that USCIS received your application or petition as shown above. Please reference the receipt number, above, on any correspondence with USCIS. If any of the above mformation ts incorrect, please immediately contact us at USCIS.ImmigrantlnvestorProgram@dhs.gov to let us know. This will help avoid future problems This notice does not grant any immigration status or benefit. It is not even evidence that this case is still pending. It only shows that the application or petition was filed on the date shown. Processing time- Processing times vary by kind of case. You can check our website at www.uscis.gov for our current processing times for this ktnd of case at the particular office to which this case is or becomes assigned. If you do not receive an initial decision or update from us within our current processing time, email us at USCIS.ImmtgrantlnvestorProgram@dhs.gov. Save this notice, and any other nottce we send you about this case, and please make and keep a copy of any papers you send us by any means along with any proof of delivery to us. Please have all these papers with you if you contact us about this case. If your address changes -If your mailing address changes while you case is pending. notify us at USCIS.ImmigrantlnvestorProgram@dhs.gov. othetwise you may not receive notice of our action on this case. Please see the additional information on the back. You will be notified separately about any other cases you filed. U.S. CITIZENSHIP & IMMIGRATION SVC CALIFORNIA SERVICE CENTER P.O. BOX 30111 LAGUNA NIGUEL CA 92607-0111 Customer Service Telephone: (800) 375-5283 111111111111111111111111111111111111111111111111111111111111111111111111111 28 OMB No. 1615-0061; Expires 01/31/2015 Form I-924A, Supplement to Form 1-924 Department of Homeland Security U.S. Citizenship and Immigration Services Part 1. Information About Principal of the Regional Center Name: Last MASTROIANNI First Middle NICHOLAS A. In Care Of: U. S . I.MM:I GRAT I ON FUND- NJ, LLC Street Address/P.O. Box: 1295 U.S. HIGHWAY ONE, SUITE 300 (b)(6) City: NORTH PALM BEACH Date of Birth Numbt::r ludeareacode): (561) 799-0061 (mm/ddyyyy) Web site add t;...,...,. \zip Code: 33408 \State: FL www.v...L;::,at:::::J.J··...; .. Telephone Number (include area code): (561) 799-1883 om USCIS-assigned number for the Designated Regional Cenk-'1' (attach the Regional Center's most recently issued approval notice) RCW 12 3 62 50 9 2 5 I I . D. 12 3 62 50 9 2 5 Part 2. Application Type (check one) [8] n. Supplement for the Fiscal Year Ending September 30, 2 013 (YrYY) D b. Supplement for a Series of Fiscal Years Beginning on October 1, _ _ (YYYl) and Ending on September 30, _ _ (l'YY1} Part 3. Information About the Regional Center (Use a continuation sheet, if needed, to provide infonnation for additional management companies/agencies, regional center principals, agents, individuals, or entities who are or will be involved in the management, oversight, and administration of the regional center.) A. Name ofRegional Center: U.S. I.MM:IGRATION FUND-NJ, LLC StreetAddress/P.O.Box: 1295 U.S. HIGHWAY ONE, SUITE 300 State: FL City: NORTH PALM BEACH Web site www. visaeb-5. com Address: Fax Number (include area code): ( 5 61 ) 7 99 - 00 61 ZipCode: 33408 Telephone (includeareacode): (561) 7 99-18 83 B. NamcofManagingCompany/Agency: N/A Street Address/P.O. Box: City: J Web site Address: State: Fax Number (include area code): Jzip Code: Telephone (include area code): C. Name of Other Agent: Street Address/P.O. Box: I City: State: Fax Number (include area code): llllllllllll\llllll\llllllllllllllllllllllllllllllllllllllllllll\llllllllll jzip Code: Telephone (include area code): Form I-924A 01/03/13 Y Page 1 RCW1335051353 egarcia2 1924A 12/13/2013 29 Part 3. Information About the Regional Center (Continued) Answer the following questions for the time period identified in Part 2 of this form. Note: If extra space is needed to complete any item, attach a continuation sheet, indicate the item number, and provide the response. 1. Identity the aggregate EB-5 capital investment and job creation has been the focus of EB-5 capital investments sponsored through the regional center. (Note: Separately identity jobs maintained through investments in "troubled businesses.") Aggregate EB-5 Capital Investment (b)(4) Aggregate Direct and Indirect Job Creation I PROJECT UNDER CONSTRUCTION Aggregate Jobs Maintained N/A 2. Identity each industry that has been the focus ofEB-5 capital investments sponsored through the Regional Center, and the resulting aggregate EB-5 capital investment and job creation. (Note: Separately identity jobs maintained through investments in "troubled businesses".) a. Industry Category Title: CONSTRUCTION Aggregate EB-5 Capital Investment: Aggregate Direct and Indirect Job Creation: SEE EXHIBIT 3.2 PROJECT UNDER CONSTRUCTION NAICS Code for the Industry Category 2 3 6 2 --Aggregate Jobs Maintained: N/A b. Industry Category Title: NAICS Code for the Industry Category Aggregate EB-5 Capital Investment: Aggregate Direct and Indirect Job Creation: c. Industry Category Title: -----Aggregate Jobs Maintained: NAICS Code for the Industry Category -- Aggregate EB-5 Capital Investment: Aggregate Direct and Indirect Job Creation: - Aggregate Jobs Maintained: 3. Provide the following information for each job creating commercial enterprise located within the geographic scope of your regional center that has received EB-5 investor capital: a. Name of Commercial Enterprise: Industry Category Title: 65 BAY STREET FUNDING, LLC (b)(4) NAICS 2362 & CODES IN EXHIBIT 3.3.A Address (Street Number and Name): City: State: Zip Code: 1295 US HWY ONE, STE. 300 NORTH PALM BEACH FL 33408 Aggregate Direct and Indirect Job Creation: Aggregate Jobs Maintained: PROJECT UNDER CONSTRUCTION N/A '"'" "'"'· T Does this EB-5 commercial enterprise serve as a vehicle for investment into other business entities that have or will create or maintain jobs for EB-5 purposes? 0 No [8] Yes Fonn I-924A 01/03/13 Y Page 2 30 U.S. Immigration Fund-Nf, LLC Form I-924A- Supplement for Annual Reporting 2012 Unique Identifier I.D. # RCW 1236250925 Year Ending: Sept. 30, 2013 Exhibit 3.2 -Response to Part 3, Box 2 All Industries of Focus & Aggregate EB-5 Investment Residential Building Construction i 2. Nonresidential Building Construction 3. 2362 Cumulative (Below) 5413 Cumulative (Below) 4. Lessors of Residential Buildings * 5311 Cumulative (Below) 5. Real Estate Property Managers 5313 Cumulative (Below) 6. Wholesale Trade 4200 Cumulative (Below) AGGREGATE EB-5 CAPITAL INVESTMENT: (b)(4) *New Industry Codes added pursuant to the EB-5 Policy Memorandum of May 30, 2013 regarding investments in the 65 Bay Street Project sponsored by the U.S. Immigration Fund-NJ, LLC. 31 U.S. Immigration Fund-Nf, LLC Form I-924A- Supplement for Annual Reporting 2012 Unique Identifier I.D.# RCW 1236250925 Year Ending: Sept. 30, 2013 Exhibit 3.3.A- Response to Part 3, Box 3.a 65 Bay Street Funding, LLC Residential Building Construction (b)(4) Nonresidential Building Construction 2362 Cumulative (Below) 3. Architectural, Engineering and Related 5413 Cumulative (Below) 4. Lessors of Residential Buildings* 53111 Cumulative (Below) AGGREGATE EB-5 CAPITAL INVESTMENT *New Industry Code added pursuant to the EB-5 Policy Memorandum of May 30, 2013 regarding investments in the 65 Bay Street Project sponsored by the U.S. Immigration Fund-NJ, LLC. ** As of October 1, 2013 32 Part 3. Information About the Regional Center (Continued) If yes, then identify the name and address of each job creating business, as well as the amount of EB-5 capital investment and job creation/maintenance associated with each job creating business. (1) Industry Category Title: Business Name: MORGAN STREET DEVELOPERS URBAN RENEWAL Address (Street Number and Name): (b)(4) co. NAICS 2362 & CODES IN EXHIBIT 3.3.A City: State: Zip Code: 666 FIFTH AVE. NEW YORK NY 10103 EB-5 Capital Investment: Direct and Indirect Job Creation: Jobs Maintained: PROJECT UNDER CONSTRUCTION N/A EE EXH 3.3.A (2) Business Name Industry Category Title: Address (Street Number and Name): City: State: EB-5 Capital Investment: Direct and Indirect Job Creation: Jobs Maintained: b. Name of Commercial Enterprise: Address (Street Number and Name): Zip Code: Industry Category Title: City: State: Zip Code: FL Aggregate EB-5 Capital Investment: Aggregate Direct and Indirect Job Creation: Aggregate Jobs Maintained: Does this EB-5 commercial enterprise serve as a vehicle for investment into other business entities that have or will create or maintain jobs for EB-5 purposes? D No DYes If yes, then identify the name and address of each job creating business, as well as the amount of EB-5 capital investment and job creation/maintenance associated with each job creating business. Industry Category Title: (1) Business Name: Address (Street Number and Name): City: State: Zip Code NY EB-5 Capital Investment Direct and Indirect Job Creation Jobs Maintained Fonn I-924A 01/03/13 Y Page 3 33 Part 3. Information About the Regional Center (Continued) (2) Business Name: Industry Category Title: Address (Street Number and Name): City: EB-5 Capital Investment: Direct and Indirect Job Creation: c. Name of Commercial Enterprise: Address (Street Number and Nmne): State: Zip Code: Jobs Maintained: Industry Category Title: City: State: Zip Code: FL Aggregate EB-5 Capital Investment: Aggregate Direct and Indirect Job Creation: Aggregate Jobs Maintained: Does this EB-5 commercial enterprise serve as a vehicle for investment into other business entities that have or will create or maintain jobs for EB-5 purposes? No Yes If yes, then identify the name and address of each job creating business, as well as the mnount ofEB-5 capital investment and job creation/maintenance associated with each job creating business. (1) Business Nmne: Address (Street Number and Name): Industry Category Title: State: City: Zip Code: NY EB-5 Capital Investment: Direct and Indirect Job Creation: (2) Business Name: Jobs Maintained: Industry Category Title: Address (Street Number and Name): City: State: EB-5 Capital Investment: Direct and Indirect Job Creation: Jobs Maintained: Zip Code: Fonn I-924A 0\103/B Y Page 4 34 Part 3. Information About the Regional Center (Continued) d. Name of Commercial Entetprise: Industry Category Title: Address (Street Number and Name): City: State: Aggregate EB-5 Capital Investment: Aggregate Direct and Indirect Job Creation: Aggregate Jobs Maintained: Does this EB-5 commercial enterprise serve as a vehicle for investment into other business entities that have or will create or maintain jobs for EB-5 purposes? Zip Code: 0 DYes No If yes, then identify the name and address of each job creating business, as well as the amount ofim-5 capital investment and job creation/maintenance associated with each job creating business. (1) Business Nan1e: Industry Category Title: Address (Street Number and Name): City: State: EB-5 Capital Investment: Direct and Indirect Job Creation: Jobs Maintained: (2) Business Name: Zip Code: Industry Category Title: Address (Street Number and Name): City: State: EB-5 Capital Investment: Direct and Indirect Job Creation: Jobs Maintained: Zip Code: Industry Category Title: e. Name of Commercial Enterprise: Address Street Number and Name: City: Aggregate EB-5 Capital Investment: Aggregate Direct and Indirect Job Creation: Aggregate Jobs Maintained: State: Does tlus EB-5 commercial enterprise serve as a vehicle for investment into oilier business entities that have or will create or maintain jobs for EB-5 purposes? Zip Code: No 0 Yes F01m I-924A 01!03/13 Y Page 5 35 Part 3. Information About the Regional Center (Continued) If yes. then identify the name and address of each job creating business, as well as the amount ofEB-5 capital investment and job creationJmaintenance associated with each job creating business. (1) Business Name: Industry Category Title: Address (Street Number and Name): City: EB-5 Capital Investment: Direct and Indirect Job Creation: State: (2) Business Name: Zip Code: Jobs Maintained: Industry Category Title: State: Address (Street Number and Name): City: EB-5 Capital Investment: Direct and Indirect Job Creation: Zip Code: Jobs Maintained: -t Provide the total mm1ber of approved, denied and revoked Form I-526 petitions filed by EB-5 investors making capital investments sponsored by the regional center. (Note: If an adverse action was ultimately reversed and the petition was approved, then note the case as approved.) Form l-526 Petition Final Case Actions (b)(4) Approved Denied 0 Revoked 0 .. 5. Provide the total number of approved, denied and revoked Fonn I-829 pet1t10ns ftled by EB-5 investors making capital investments sponsored by the regional center. (Note: If an adverse action was ultimately reversed and the petition was approved, then note the case as approved.) Form I-829 Petition Final Case Actions Approved 0 Denied 0 Revoked 0 NOTE: USCIS may require case-specific drtta relating to individual EB-5 petition<<> and the job creation detenuination and further information regarding the allocation methodologies utilized by a regional C(.:nter in certain instances in order to verify the aggregate data provided above. Fonn l-924A Oli03!13 Y Page 6 36 Part 4. Applicant Signature Read the i1~[ormation on penalties in the instructions before completing this section. If someone helped you prepare this petition, he or she must compete Part 5. I certity, under penalty of petjmy under the laws of the United States of An1erica, that this supplemental fonn and the evidence submitted \vith it are all true and correct. I authorize the release of any infonnation from my records that U.S. Citizenship and Immigration Services needs to detennine eligibility for the benetit being sought. I also certify that I have authority to act on behalf of the Regional Center. Printed Name of Applicant Date (mmldd(vyyy) NICHOLAS A. MASTROIANNI 12/12/2013 E-Mail Address NICK@USIFUND.COM (561) 799-1883 Relationship to the Regional Center Entity (Managing Member, President, CEO, etc.) PRESIDENT & CEO Part 5. Signature of Person Preparing This Form, If Other Than Above (Sign Below) I declare that I prepared this fonn using infonnation provided by someone with authority to act on behalf of the Regional Center, and the answers and infonnation are those provided by the Regional Center. Attorney or Representative: In the event of a Request for Evidence (RFE), may the USC IS contact you by Fax or E-maiP 0 No [8] Yes --,, --- Printed Name ofPreparer Signature 9fPreparer ~'- / . ' .'----";!-· / It ( {.c~I'[_/[, Y0\L'"t S;L Date (mm/dd~vyyy) "----·· Firm,_Name and Address ' ~ v :'::-::_ , IGNACIO A. DONOSO 12/13/2013 v __/ I. A. DONOSO & ASSOCIATES, LLC 4720 MONTGOMERY LANE, SUITE 430 BETHESDA, MD 20814 Daytime Phone Number (>lrea:Country Codes) ( 301) 276-0654 Fax Number (.4rea/ Country Codes) E-Mail Address IGNACIO.DONOSO@DONOSOLAW.COM Fonn l-924A 01!03/13 Y Page 7 37 Confidential Information I Attorney-Client Privileged & ASSOCIATES, LLC December 12, 2013 U.S. Citizenship & Immigration Services California Service Center Attn: EB-5 Processing Unit 24000 Avila Road, 2nd Floor Laguna Niguel, CA 92677 Via Federal Express Re: Form 1·924A- Annual Reporting U.S. Immigration Fund-NJ, LLC RCW 1236250925 Dear Immigration Officer, Enclosed is the completed Form I-924A, Annual Reporting Supplement, for the U.S. Immigration Fund-NJ, LLC. We also enclosed Form G-28 for the undersigned, should you require any additional information regarding this filing. We trust that the enclosed Form I-924A and the accompanying evidence complies with the annual reporting requirements established by USCIS. Please do not hesitate to contact me at (301) 2760654 or by email at ignacio.donoso@donosolaw.com. LA. Donoso & Associates, LLC ... Ig ado Donoso Managing Attorney cc: U.S. Immigration Fund-NJ LLC (attention: Nicholas A. Mastroianni) Encl. (as described above) 4720 MONTGOMERY LANE •:0 SUITE 430 •!• BETHESDA •!• MD 20814 •:0 TEL. (301} 276-0653 -------------- ··-· --------~-------- ----------------- WWW .DONOSOLAW .COM 38 U.S. Immigration Fund-NJ,"LLC Form I-924A- Supplement for Annual Reporting 2012 Unique Identifier I.D. # RCW 1236250925 Year Ending: Sept. 30, 2013 FORM I-924A FOR THE U.S. IMMIGRATION FUND-NJ, LLC 39 U.S. Immigration Ftmd-NJ, LLC Form I-924A -Supplement for Annual Reporting 2012 Unique Identifier l.D. # RCW 1236250925 Year Ending: Sept. 30, 2013 USCIS Regional Center Approval Letter for the U.S. Immigration Fund-NJ, LLC 40 U.S. Department of Homeland Security 24000 Avi!:a Road, 2.., Floor Laguna Niguel,CA 92677 U.S. Citizenship and hnmigrat1on. Services Date: HAY 2 9 2013 Nicholas A. Mastroianni U.S. Ilnmigration Fund- NJ, LLC 12 9 5 U.S. Highway 1, Suite 300 North Palm Beach, FL 33408 Application: Form I-924, Application for Regional Center under the Immigrant Investor Pilot Program App1ic'am(s): Nicholas A. Mastroianni Initial Regional Center Designation U.S. Immigration Fund- NJ, llC Re: RCW 1236250925 I RCW 1236250925 · This notice is in reference to the Form !·924, Application for Regional Center Under the Immigrant Investor Pilot Program that was filed by the applicant with the U.S. Citizenship and Immigration Services ("USCIS") on December 27, 2012. The Form I-924 application was filed to request approval of initial regional center designation under the Immigrant Investor Program. The lrnl.Iligrant Investor Program was established under § 610 of the Department of Commerce, Justice and State, the Judiciary, and Related Agencies Approp:ri.ations Act of 1993 (Pub. L. l 02-395, Oct 6, 1992, l 06 Stat. 1874). I. Ex.ecutive_~ymrni!U_of Adjudication I. Effective the date of this notice, USCIS approves the Form I-924 request to designate U.S. Immigration Fund NJ, LLC as a qualifying participant in the Immigrant Investor Program. II. Regional Center :Pesignation USCIS approves the applicant's request to focus, promote economic growth, and offer capital investment opportunities in rhe following geographic area and indusrry caregories: www.uscis.gov 41 U.S Immigration Fund- NT. LLC I RCW1236250925/ ID Page 2 of 4 A. Geographic Area 5;~!~- .. ·1 ·~1:g•n: ESS~>~~L. ~id~e£.[:~~:J~~~~f;as,:~. :~~ u~;n Note: An amendment request is required if investment opportunities arise outside approved geographic area. B. Industry Categorie.<> --·.· NAlcS : ··_:~:=---l~3 ~'-·. ~-?P!.~~~~~!i<4.!3~~~~tion E L t !':!~ite~tural, 1• ,, ..· .:,.. , ··' :'tn<;J.U.SiryN~1e · · ---------~ -------------~~~-------~---~-. 6 2 ·.·. 2 361 ______ -~~~dential Buildil!&_S:?~n_st_r_uc_t_io_n____________. ~--~~}-~ Real Estate P~!l:,;i'! 1 Receipt Notice · This notice confirms that USCIS received your application or petition as shown above. Please reference the receipt number, above, on any correspondence with USC IS. If any of the above information is incorrect, please immediately contact us at USCIS.ImmigrantlnvestorPrograrn@dhs.gov to let us know. This will help avoid future problems. This notice does not grant any immigration status or benefit. It is not even evidence that this case is still pending. It only shows that the application or petition was filed on the date shown. Processing time- Processing times vary by kind of case. You can check our website at www .uscis.gov for our current processing times for this kind of case at the particular office to which this case is or becomes assigned. If you do not receive an inith~J decision or update from us within our current processing time, email us at USCIS.ImmigrantlnvestorProgram@dhs.gov. Save this notice, and any other notice we send you about this case, and please make and keep a copy of any papers you send us by any means along with any proof of delivery to us. Please have all these papers with you if you contact us about this case. If your address changes- If your mailing address changes while you case is pending, notify us at USCIS.ImmigrantlnvestorPrograrn@dhs·.g~v; · otherwise you may not receive notice of our action on this case. Please see the additional information on the back You will be notified separately about any other cases you fileo. U.S. CITIZENSHIP & IMMIGRATION SVC CALIFORNIA SERVICE CENTER P.O. BOX 30111 LAGUNA NIGUEL CA 92607-0 Ill lllllllli 111111111111111111111111111111111111111111111111111111111111111111 Customer Service Telephone: (800) 375-5283 45 CIS Immigrant Investor Program From: Sent: To: Cc: Subject: USCIS Immigrant Investor Program Monday, August 17, 2015 12:28 AM nick@usifund.com IDONOSO@FOSTERQUAN.COM; ignacio.donoso@donosolaw.com Request for Clarification US Immigration Fund - NJ [ID1236250925] Dear US IMMIGRATION FUND- NJ Principal: US IMMIGRATION FUND- NJ ("the Regional Center") applied for designation as a regional center on 12/21/2012. On 5/29/2013, USCIS designated the Regional Center as a regional center and authorized its participation in the Immigrant Investor Program. In reviewing the Regional Center's I-924A filing for fiscal year 2014, RCW1434952101, USCIS notes the following: Regional center and related commercial enterprises that utilize names that contain the words "United States," "U.S.," "US" and "Federal" may falsely imply a relationship between the entity using the name, and USCIS, DHS and the United States Government. In addition, use of such names on websites, promotional and other marketing materials may be considered deceptive acts or practices and false advertisements in violation of Federal laws governing unfair trade and false advertisements. See 15 U.S.C. §§ 45 and 52. IPO may refer regional centers and related commercial enterprises with questionable naming conventions to the Federal Trade Commission for further action. Additionally, use of the words "Federal" or "United States," in advertising by businesses engaged in the financial services sector may be a violation of 18 U.S.C. § 709, which prohibits false advertising or misuse of names to indicate Federal agency. IPO may refer regional centers and related commercial enterprises with questionable naming conventions to the Department of Justice for further action. Due to the fact that the Regional Center's name contains the word "US" the Regional Center may be in violation of laws as described above. Please submit evidence that the regional center has adopted a name that does not contain words that may be in violation of U.S. law. Please respond within 90 business days of the date of this email via email to: USCIS.ImmigrantlnvestorProgram@uscis.dhs.gov. Should you need additional time to submit the requested evidence, please respond to this email with your time extension request. Sincerely, Immigrant Investor Program U.S. Citizenship and Immigration Services 46 DA0018 47 ~.S. Department of Homeland Security '-t/ 000 Avila Road, 2"d Floor Laguna Niguel, CA 92677 U.S. Citizenship and Immigration Services Date: · .tfAy 2 9 2013 Nicholas A. Mastroianni U.S. Immigration Fund- N], LLC 1295 U.S. Highway 1, Suite 300 North Palm Beach, FL 33408 Application: Form I-924, Application for Regional Center under the Immigrant Investor Pilot Program Applicant( s): Re: Nicholas A. Mastroianni Initial Regional Center Designation U.S. Immigration Fund N], LLC RCW 1236250925 I ID 1236250925 This notice is in reference to the Form I-924, Application for Regional Center Under the Immigrant Investor Pilot Program that was filed by the applicant with the U.S. Citizenship and Immigration Services ("USCIS") on December 27, 2012. The Form I-924 application was filed to request approval of initial regional center designation under the Immigrant Investor Program. The Immigrant Investor Program was established under § 610 of the Department of Commerce, Justice and State, the Judiciary, and Related Agencies Appropriations Act of 1993 (Pub. L. 102-395, Oct. 6, 1992, 106 Stat. 1874). I. Executive Summary of Adjudication 1. Effective the date of this notice, USCIS approves the Form I-924 request to designate U.S. Immigration Fund- N], LLC as a qualifying participant in the Immigrant Investor Program. II. Re~ional Center Designation users approves the applicant's request to focus, oppor~unities promote economic growth, and offer capital investment in the following geographic area and industry categories: COPY www.uscis.gov 48 .&lepartment ofBoatelaad Seeurity " U.S. Citizenship and ~gmtion Servi<:ea A# IUeeipt# RCW123625092S Notice Dam .. ·' '' 1of8 A ril9, 2013 Ignacio A. Donoso A : FosterQuan, LLP RE: U.S. IMMIGRATION FUND-NJ 600 Travis St., Suite 2000 Houston, TX 77002 FOC: esc Jiifefift'tf:ii'oT1Denl31myrtJProc~cn:s't!'tsin""g~"'"'' Coversheet RETURN THIS BLUE PROCESSING COVERSHEET ON TOP OF YOUR RESPONSE TO THE INTENT TO DENY. Note: You are given.until · ·.May 9, 2013 . in whieh to submit the requatecHnformation to the address at the bottom Of this nodet. RESPONSE TO AN INTENT TO DENY For more information, visit oar website at WWW.uscis.gov Or call us at 1-800-375-5283 Telephone service for the hearing impaired: 1-800-767-1833 For non..US Postal Service Attn: EB & RC Proposal 24000 Avila Road, r' Floor Laeuna Niguel, CA 12877 CSC4639 WS25097 INVESTOR BRANCH MP 49 ~enter I RCW1236250925/ IDl236250925 NOTICE OF INTENT TO DENY notice is in reference to the Form I-924, Application for Regional Center Under the Immigrant rm·"stor Pilot Program, rhat was flled by U.S. Immigration Fund-NJ Regional Center ("applicant") at the c,1 Jifomia Service Center on December 21, 2012. The U.S. Citizenship and Immigration Services ("USCIS") has completed its revicvv of the application for designation as a regional center under the Immigrant Investor .Program ('"Program"). The Program was estabbshed under § 610 of the Department of c:ommerce, Justice and State, the Judiciary, and Related Agencies Appropriations Act of 1993 (Pub. L. 10239 5, Oct. 6, !992, l 06 Stat. 18 74). The purpose of this notice is to notify the applicant that USCIS intends to deny its application requesting designation as a regional center. I. Procedural History The proposed Regional Center entity was established on December 7. 2012 ln the state of Florida and is structured as a limited liability company. The applicant is requesting jurisdiction over a geographic area include: Name of State New jersey Counties Bergen, Essex, Hudson, Middlesex, Monmouth, Morris, Passaic and Union Additionally, the applicant plans to offer EB-5 capital investment opportunities in affiliated ne.w commercial enterprises, organized as limited partnerships, focusing on projects in the foUowing industry Che capital investment projects will involve a combination of equity investments and loans to job creating ,.,nJ·pnwicP< located within the proposed bounds of the Regional Center. On December 12, 2012, the applicant filed its Form I-924 requesting regional center designation. On 20, 2013, USCIS issued a request for additional evidence ("RFE") as the initial application did nor under 8 C.F.R. § 204.6(m) (3. The response to the RFE was received on March 5, 2013. \ttdm:E::1t to lTD Coversheet 50 lJS.lmmigrarion Fund- NJ Regional Center I RCW1236250925/ ID1236250925 3 of 8 II. Regional Center- Relevant Statute and Regulations Sccnon 610 of the Departments of Commerce, Justice and State, the Judicia.ry, and Related Agencies 1\ppropriations Act of 1993, Pub. L. 102-395, (8 USC 1153 note), as amended by Section402 of the Visa Wa.iver Permanent Program Act of 2000, Pub. L. 106-396, provides: (a) Of the visas otherwise available under section 203(b)(S) of the Immigration and Nationality Act (8 U.S.C. 11 53(b)(5)), the Secretary of State, together with the Attorney General, shall set aside visas for a program to impletnent the provisions of such section. Such program shall involve a regional center in the United States for the promotion of economic growth, including increased export sales, improved regional productivity, job creation, and increased domestic capital investment. (b) For purposes of the program established in subsection (a), beginning on October 1, 1992, but no later than October I, 1993, the Secretary of State, together with the Attorney General, shall set aside 3,000 visas annually for flve years to include such aliens as are eligible for admission under secrion 203(b)(S) of the Immigration and Nationality Act and this section, as \vell as spouses or children which are eligible, under the terms of the Immigration and ~ationality Act, to accompany or follow to join such aliens. (c) In determining compliance \\lith section 203(b)(S)(A)(iii) of the Immigration and Nationality Act, and notwithstanding rhe requirements of 8 CFR 204.6, the Attorney General shall pennit aliens admitted under the program described in this section to establish reasonable rnerhodologies for determining the number of jobs created by the program, including such jobs which are estimaced to have been created indirectly through revenues generated from increased exports, improved regional productivity, job creation, or increased domestic capital investment resulting hom the program. The regulation at 8 CFR § 204.6(m) provides: (3) Requirements for regional centers. Each regional center wishing to participate in the Immigrant Investor Program shall submit a proposal to the Assistant Commissioner for Adjudications, which: (i) Clearly describes how the regional center focuses on a geographical region of the United States, and how it will promote economic growth through increased export sales, improved regional productivity, job creation, and increased domesti.c capital mvestment; (ii) Provides in verifiable detail how jobs will be created indirectly through increased exports; .\rta1hment to lTD Covershe.:t 51 U.S. Immigration Fund- NJ Regional Center I RCW1236250925/ ID1236250925 4 8 (iii) Provides a detailed statement regarding the amount and source of capital which has been committed to the regional center, as well as a description of the promotional efforts taken and planned by the sponsors of the regional center; (iv) Contains a detailed prediction regarding the manner in which the regional center will have a positive impact on the regional or national economy in general as re.flected by such factors as increased household earnings. greater demand for business services, milities. maintenance and repair, and construction both within and without the regional center; and (v) Is supported by economically or statistically valid forecasting tools, including, but not limited to, feasibility studies, analyses of foreign and domestic markets for the goods or services to be exported, and/ or multiplier tables. (4) *** ( 5) Decision to participate in the Immigrant Investor Program. The Assistant Commissioner for Adjudications shall notify the regional center of his or her decision on the request for approval to participate in the Immigrant Investor Program, and, if the petition is denied, of the reasons for the denial and of the regional center's right of appeal to the Associate Commissioner for Examinations. Notification of denial and appeal rights, and the procedure for appeal shall be the same as those conta.ined in 8 CFR 103.3. In reviewing this application, USCIS has to determine whether the request for regional center designation has met all of the regulatory criteria and thereby will maintain a regional cemer within which aliens 11 '''""" Hl''' to obtain permanent resident status under section 203(b)(5) of the Act will be able to successfully t>stablish a new commercial enterprise (as described in 8 CFR § 204.6(h)) with the qualifying investment. dut will benefit the United States economy and creare l 0 full time jobs, including jobs indirectly created through the new commercial enterprise. HI. Issues A. Issue 1: The applicant was requested to provide a detailed and itemized constructjon timeline and transparent, objective and verifiable data. The applicant submitted a letter from Sam Gersh'v'vin, the president of Westminster Communities and the person responsible for all the project's constructiOIHelated activities. The letter indicated that the 26-month construction rimeline is reasonable. The letter lists the relevant phases of the construction e±Tort but does not provide a timeline in detailed and itemized form. Therefore, the applicant has yet to submit a derailed and .itemized construction timeline. Attachment to lTD Coversheet 52 U.S Immigration Fund- NJ Regional Center J RCW1236250925/ ID1236250925 S of8 • This issue will remain unresolved until the applicant submits an itemized construction timeline shovving all relevant phases of the construction effort. • The issue will also remain unresolved until the applicant provides transparent, objective, and veri.fiable data illustrating that the proposed construction timehne and budget are within a reasonable range when compared to industry standards. B. Issue 2: The applicant was requested to clarify specific unresolved issues in the Impact Analysis. The applicant solicited the expertise of Evans, Carroll, and Associates (Evans-Carroll) to conduct the economic impacr analysis. Evans···Carroll calculates the potential economic impacts of the construction expenditures (hard and soft) and the leasing operations of the apartment building. Economic Impact Model Useq (IMPLAN. RJMS H REDYN, eJ&l . RIMS II calibrated for the following counties in the State of New Jersey: Hudson, Essex, Union, Bergen, Passaic, Morris, Monmouth, and Middlesex. (b)(4) l_____ Hard Construction: Evans-Carroll uses a hard const111ction expenditure estimate of .. .,las a final demand input into RIMS II. a. Transparency: The parameters are based on a construction budget prepared by the Kushner Companies-the project developer-and the KA.BR Group--a real esta.r.e holding company. However, the construction cost budget presented on page 37 of the economic impact analysis is illegible. The applicant must provide a legible construction cost budget that is detailed and itemized. b. Applicability: The parameters are applicable to the project. Please note, however, that the applicant does not provide a verifiable, detailed, and itemized construction cost timeline (see Issue 1, above). Thus, the applicant may only take credit for the indirect and induced jobs resulting from the hard construction expenditures. c. Reliability: The construction cost budget is verified by Sam Gershwin, the president of Westminster Communities and person responsible for the construction of rhe projeC(. Thus, the parameters are reliable. d. Up-toDate: The parameters are up-to-date. • Issues a. and b. remain unresolved. Soft Construction Costs: Evans-Carroll uses the following soft construction expenditures estimates as final demand inputs into RIMS II: I. Category I FF&E Expenditure F,stimate (b)(4) ~chitectural and Engineering Services ;\uachment to lTD Coversheet 53 U.S. Immigration Fund NJ Regional Center I RCW1236250925/ 101236250925 Page 6 of 8 Transparency: The parameters are based on a construction budget prepared by the Kushner Companies, the project developer and the KABR Group, a real estate holding company. However, the construction cost budget presented on page 37 of the economic impact analysis is illegible. The applicant must provide a legible construction cost budget that is detailed and it.emized. b. Applicability: The parameters are applicable to the projecL c. Reliability: The parameters are verified by the construction manager and are reliable. d. Up-to-Date: The parameters are up-to-date. a. • (b)(4) Issue a. remains unresolved ~. Leasing Operations: Evans-Carroll calculates a rental i.ncome estimate ofl Hor the fhst year of operations and uses this estimate as a final de.mand input into RIMS ll. a. Transparency: The rental income estimate is based on a detailed and itemized pro forma financial statement provided by the Kushner Companies and the KABR Group. Thus, the parameters are transparent b. Applicability: The parameters are not fully applicable because the rental income estimate includes parking revenue. It is not an acceptable methodology to include revenue derived from parking operations because parking operations do not pertain to real estate leasing activities. c. Reliability: The parameters are reliable. d. Up-to-Date: The parameters are up-to date. • Issue b. remains unresolved. The taple below presents a summary of the critical assumptions used to derive the model inputs. /361/2362 d Comtruction cost expenditure estimate is based on the (b)(4) ~··--·--·~-~t'./·~e':--'eliJo'::p::ejr·~s::co::n::st=:ru:"".:c;.;;ti::o::;:n:::co~s=t.::b::Ju~;:jgioleiiit.---~c:.-::r--:-::-:L::-I S3lll ! (a) Rental revenue estunate ot ~ fased on the ' developer's pro forma ..__ _ __. (b Deflated ro 2008 dollar terms. et l\Iulriplier(s) Used {Direct Employment. Dirs;ct Eflect Earnings. Final Demand Output. etc.) and Aualysls of 3:\ppli carion of Multiplier The results of the analysis are summarized in the table below. 1 I . Activity , Construction NAICS Code I! Input RIMS II Multiplier 1 (b)(4) Total Jobs I .\rt.;chment to lTD Coversheer 54 U.S. Immigration Fund- NJ Regional Center I RCW1236250925/ ID1236250925 Page 7 of 8 (b)(4) I Soft Costs: FF&E ~ot Archit.cctural md Engineering Services 5413 • Rent 2 bedroom condo for ~ l'p Tt1 .tL·,.uoo. Call Today~ 11 ww.liveattrio.com INSIIJE NVTIMES.COM Bagbdad Museum Copyright 2005 The NewYorJ< Tjmes Company I~I Privacy Policy I ~I ~I mtJI l:!llllll ~I ~ I ~ I Back to Top http //www.nynmes.com /2005/09/23/nyregion/23trump.html?_r:O Page 3 of 3 85 Inside the Open Houses: Jersey City comes a long way THE 4/17/13 9:45PM DEAL NEW YORK CiTY REAL ESTATE NEWS Inside the Open Houses: Jersey City comes a long way Young professionals in area upgrade as condo projects become more upscale /j :.:008 D:rsr1n Gooi When asked to describe the appeal of Jersey City, one condo shopper summed up his answer in one telling word: convenience. Indeed, this is where any discussion about Jersey City inevitably begins. Query home buyers or renters on why they're considering it, or ask brokers how they market it, and their responses will almost always cite the close proximity to Manhattan, the easy access to PATH stations, and the under 30minute commute to the city. Based on an informal survey of open house attendees, Jersey City- which once had a reputation for corruption, crime and urban decay, and has more recently attracted some real estate trailblazers - is now seeing a critical mass of young professionals. And those who are looking for an alternative to the high-priced co-ops and condos in New York City or an upgrade frorn other nearby New Jersey apartments are finding that they have options, including a soon-to-be-opened Trump building and an area with an increasing number of amenities, including new shops and cafes. Take Adrian, the condo buyer who invoked the word "convenience" when asked at a recent Saturday afternoon open house why he was looking in Jersey City. He's an Internet technology professional who has lived in the area since 1997 and is now looking to upgrade from a one-bedroom facing the Hudson River to something even larger. "I've had many opportunities to live in Manhattan," said Adrian, who declined to give his last name. "But I didn't want to because Jersey City is quieter, more affordable and cleaner." On this particular day, Adrian was browsing at Dixon Mills, a 467-unit former factory complex that began a condo conversion in March 2007. The property's general manager, Jon Ha, said that 50 percent of his customers are from within Jersey City. He described Dixon Mills' vicinity, a stone's throw rrom VanVorst Park, as "similar to Park Slope, Carroll Gardens or Brooklyn Heights because it has a neighborhood feel." Ha had two open houses. One was a 1,400-square-foot, two-level, two-bedroom penthouse unit for $675,000. The other was a 852-square-foot onebedroom for $362,000. "The rental market in downtown Jersey City is sizzling hot, so it makes sense to buy," Ha added. David and Meredith, both 26, were looking to do just that as they checked out an open house at 208 Brunswick, close to Hamilton Park. Having rented in the area he works at a bank in downtown Manhattan, she at a law firm in western New Jersey- they are already Jersey City converts. Meredith, who also declined to give her last name, said, "There's a lot more character in the homes" than in Hoboken, where they've also looked. Weichert Realty agent Dan Pelosi said Jersey City's ability to retain its residents is a fairly recent phenomenon. "People will rent or buy something here and then trade up," Pelosi said. "It's not like when they can afford a house, they move to the suburbs. That's really a change, and it shows great neighborhood stability." Pelosi pointed to quality housing stock. as well as the city's well-known affordability, for convincing people to drop anchor there. "They're not building any more Civil War-era brownstones," he said. At the end of 2006, New York Magazine pronounced that Jersey City would be the next "hot" destination for hip homebuyers. A handful of cute, newly opened cafes and boutiques along Grove and Barrow streets are further signs of that ascendance. But what may raise Jersey City's profile the most, according to Pelosi and several other realtors, is the imminent arrival of Trump Plaza Jersey City. The first apartments are expected to be available in April 2008. bring nearly 1,000 luxury units to the already-developing waterfront with http: 1/the real deal.com/ iss ues_articles/ inside-the-open-houses-jersey-city-comes-a -long-way I Page 1 of 2 86 Inside the Open Houses: jersey City comes a long way 4/17/13 9:45PM ""' Still, many brokers have predicted that it is places just like Jersey City, which are in the process of major transformations, that will be first to feel the effects of the softening market. They said there could be a real problem in filling all of the new construction that was started during the construction boom, before the subprime crisis hit. That is less because the Jersey City market had subprime borrowers and more because it draws a lot of young professionals from the city who may have more difficulty borrowing money in this less generous credit environment [see "Jersey City market skirts the housing storm" in the November 2007 issue of The Real Dea~. Some are already seeing the slowdown. "It's dead across the board," said Coldwell Banker agent Laura Ann Knecht. But others had a far less gloomy take, describing more of a sense of selectivity and patience than of a lack of interest. David and Meredith, the banker and lawyer, dismissed the 1,1 00-square-foot loft-style apartment they saw at 208 Brunswick as "too much like a studio" for their taste. The asking price had already been dropped to $405,000 from $419,000. Another couple, both mid-20s professionals, concluded that six blocks to the PATH station was just too far for them. "It used to be that people would look at three properties, and they were ready to sign an offer; now, they want to see over 30, and they're still not sure," said another local Coldwell agent, who asked not to be named. Jason Rowley, a 33-year-old investor who already owns two properties in Jersey City, said he worries "every day" whether this is a bad time to buy in the area. ''The risk today is in its being overbuilt," Rowley said. Nonetheless, there he was on a chilly pre-holiday Saturday scouting potential third properties. "It's hard to believe that in the long term, this place won't retain its value," he said. 2013 STEM Summit Attention Professors Thwarting the Technical Skills Shortage. Learn more about this 2 day event! Apply to the Worldwide Who's Who network for Successful Women. Leilrn More" Learn More» http: //thereat deal.com 1iss ues_articles I ins ide-the-open-houses-jersey-city-comes-a-long-wayI Page 2 of 2 87 Uf.. DOCUMENT Letter from Evans, Carroll & Associates explaining change in the dollar figure for hard costs of the Project dated April16, 2013. ~J Response to NOlO TAB No. 5. 88 Evans, Carroll & Associates, Inc. 2785 NW 26th St. Boca Raton, Fl 33434 561-470-9035 Apri116, 2013 Attention: EB-5 Unit USC IS California Service Center 24000 Avila Road, 200 Floor Laguna Niguel, CA 92677 Re: U.S. Immigration Fund- NJ, LLC 1-924 Application for Regional Center Designation Clarification of Revised Economic Impact Analysis & Response to USCIS Notice of April9, 2013 Dear USCIS Officer: At the request of the U.S. Immigration Fund - NJ, LLC ("USIF-NJ"), Evans, Carroll & Associates has prepared a revised Economic Impact Analysis dated April 11 , 2013, for the sample project of the USIF-NJ known as "88 Morgan Streef'. A copy of the revised Economic Impact Analysis is attached to this letter. Please note that the revised dollar figures for hard costs, and for land, interest and contingencies are based on the same budget as before, but have been corrected. An error was previously made because the budget figures were illegible. The same budget data is found in the revised Economic Impact Analysis at Section 8, page 36 and following. Please do not hesitate to contact Evans, Carroll &Associates should you have any questions regarding this letter or the attached Economic Impact Analysis. Sincerely, Michael K Evans 89 U~·· DOCUMENT Revised NAICS codes for the Application and Revised Fonn I-924. 'JJ Response to NOID TAB No. 7. 90 Part 3. Information About the Regional Center (Continued) 5. Describe the past, current, and future promotional activities for the regional center. Include a description of the budget for this activity, along with evidence of the funds committed to the regional center for promotional activities. Submit a plan of operation for the regional center that addresses how EB-5 investors will be recruited, the method(s) by which the capital investment opportunities will be offered to the investors, and how they will subscribe or commit to the investment interest. 6. Describe whether and how the regional center is engaged in supporting a due diligence screening of its alien investor's lawful source of capital and the alien investor's ability to fully invest the requisite amount of capital. Also, describe the regional center's prospective plans in this regard if they differ from past practice. 7. Identify each industry that has or will be the focus of EB-5 capital investments sponsored through the regional center. Industry Category Title: !Nonresidential building construction I Is the Form I-924 application supported by an economic analysis and underlying business plan for the determination of prospective EB-5 job creation through EB-5 investments in this industry category? No- Attach an explanation NAJCS Code for the Industry Category: - 3 6 I:8J 2 --- Industry Category Title: IRP·~·ir1Pl1tial hoi lr1inrr construr:tinn I 3 6 Is the Form I-924 application supported by an economic analysis and underlying business plan for the determination of prospective EB-5 job creation through EB-5 investments in this industry category? D No - Attach an explanation NA!CS Code for the Industry Category: 'l Yes ~Yes 1 -----Industry Category Title: !Lessors of Residential Buildings NA!CS Code for the Industry Category: ~3 1 --- 1 1 I Is the Form I-924 application supported by an economic analysis and underlying business plan for the determination of prospective EB-5 job creation through EB-5 investments in this industry category? D No- Attach an explanation ~Yes -- SEE ATTACHED EXHIBIT "A" FOR COMPLETE LIST OF NAICS CODES Fonn 1-924 01/03/13 Y Page 4 91 EXHIBIT A TO FORM I-924 U.S. IMMIGRATION FUND-NJ RESPONSE TO PART 3, QUESTION 7 NAICS Codes The U.S. Immigration Fund- NJ's investment in new projects will focus in the following industries and economic sectors, which are described according to the North American Industry Classification System codes and titles: Industry Name NAICSCode '; ,,,,, 2362 Commercial and Institutional Real Estate Construction Residential Real Estate Construction ! Lessors of Real Estate 1 i 2361 53111 , Architectural/ Engineering & Related Services Furniture and Home Furnishing Merchant Wholesalers 4232 Professional and Commercial Equipment and Supplies Merchant 4234 Wholesalers ' Household Appliances and Electrical and Electronic Goods 4236 Merchant Wholesalers 92 Department of Homeland Securit) U.. S Citizenship and Immigration SerVIces I-797E, Notice of Action A# AppllcationiPetitlon Receipt# ApplleantJPetitioner 1924, Application for Regional Center under Immigrant Investor Pilot Program RCW1236250925 Notice Date April9, 2013 U.S. Immigration Fund-N J I1 of8 Beneficiary Page Ignacio A. Donoso FosterQuan, LLP RE: U.S. IMMIGRATION FUND-NJ 600 Travis St., Suite 2000 Houston, TX 77002 Intent to Deny Processing Coversheet RETURN THIS BLUE PROCESSING COVERSHEET ON TOP OF YOUR RESPONSE TO THE INTENT TO DENY. May 9, 2013 Note: You are given until the address at the bottom of this notice. in which to submit the requested information to RESPONSE TO AN INTENT TO DENY • For more information, visit our website at WWW. USCIS.gov Or call us at 1-800-375-5283 Telephone service for the hearing impaired: 1-800-767-1833 For non-US Postal Service Attn: EB 5 RC Proposal 24000 Avila Road, 2nd Floor Laguna Niguel, CA 92677 CSC4639 WS25097 INVESTOR BRANCH MP You will be notified separately about any other applications or petitions you filed. Save this notice. Please enclose a copy of it if you write to us about this case, or if you file another application based on this decision. Our address is: USCIS ·CALIFORNIA SERVICE CENTER ~~G~~~ ~~~~EL, CA 92607-0590 800-375-5283 lllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllll RCW1236250925 Formi-797E 93 U.S. Immigration Fund- NJ Regional Center I RCW1236250925/ ID1236250925 Page 2 of 8 NOTICE OF INTENT TO DENY This notice is in reference to the Form I-924, Application for Regional Center Under the Immigrant Investor Pilot Program, that was filed by U.S. Immigration Fund-NJ Regional Center ("applicant") at the California Service Center on December 21, 2012. The U.S. Citizenship and Immigration Services ("USCIS") has completed its review of the application for designation as a regional center under the Immigrant Investor Program ("Program"). The Program was established under § 61 0 of the Department of Commerce, Justice and State, the Judiciary, and Related Agencies Appropriations Act of 199 3 (Pub. L. I 02395, Oct. 6, 1992, 106 Stat. 1874). The purpose of this notice is to notify the applicant that USCIS intends to deny its application requesting designation as a regional center. I. Procedural History The proposed Regional Center entity was established on December 7, 2012 in the state of Florida and is structured as a limited liability company. The applicant is requesting jurisdiction over a geographic area to include: Counties Hw1son, Middlesex, Monmouth, Morris, Passaic Additionally, the applicant plans to offer EB-5 capital investment opportunities in affiliated new commercial enterprises, organized as limited partnerships, focusing on projects in the following industry categories: NAICS 2362 2361 5313 5413 '"-----~ ' y (' Non residential Rniklino Construction Residential '"' ., Construction Real Estate Property " ll .,., and Related Services ' The ca_pital investment projects will involve a combination of equity investments and loans to job creating enterprises located within the proposed bounds of the Regional Center. On December 12, 2012, the applicant filed its Form I-924 requesting regional center designation. On February 20, 2013, USCIS issued a request for additional evidence ("RFE") as the initial application did not qualify under 8 C.F.R. § 204.6(m)(3. The response to the RFE was received on March 5, 2013. Attachment to lTD Coversheet 94 U.S. Immigration Fund Page 3 of 8 NJ Regional Center I RCW1236250925/ ID1236250925 II. Regional Center- Relevant Statute and Regulations Section 610 of the Departments of Commerce, Justice and State, the Judiciary, and Related Agencies Appropriations Act of 1993, Pub. L. 102-395, (8 USC 1153 note), as amended by Section 402 of the Visa Waiver Permanent Program Act of 2000, Pub. L. 106-396, provides: (a) Of the visas otherwise available under section 203(b)(5) of the Immigration and Nationality Act (8 U.S.C. 115 3 (b) (5)), the Secretary of State, together with the Attorney General, shall set aside visas for a program to implement the provisions of such section. Such program shall involve a regional center in the United States for the promotion of economic growth, including increased export sales, improved regional productivity, job creation, and increased domestic capital investment. (b) For purposes of the program established in subsection (a), beginning on October 1, 1992, but no later than October 1, 1993, the Secretary of State, together with the Attorney General, shall set aside 3, 000 visas annually for five years to include such aliens as are eligible for admission under section 203 (b) (5) of the Immigration and Nationality Act and this section, as we.ll as spouses or children which are eligible, under the terms of the Immigration and Nationality Act, to accompany or follow to join such aliens. (c) In determining compliance with section 203 (b) (5) (A) (iii) of the Immigration and Nationality Act, and notwithstanding the requirements of 8 CFR 204.6, the Attorney General shall pennit aliens admitted under the program described in this section to establish reasonable methodologies for determining the number of jobs created by the program, including such jobs which are estimated to have been created indirectly through revenues generated from increased exports, ir:qproved regional productivity, job creation, or increased domestic capital investment resulting from the program. The regulation at 8 CFR § 204.6(m) provides: (3) Requirements for regional centers. Each regional center wishing to participate in the Immigrant Investor Program shall submit a proposal to the Assistant Commissioner for Adjudications, which: (i) Clearly describes how the regional center focuses on a geographical region of the United States, and how it will promote economic growth through increased export sales, improved regional productivity, job creation, and increased domestic capital investment; (ii) Provides in verifiable detail how jobs will be created indirectly through increased exports; Attachment to lTD Coversheet 95 U.S. Immigration Fund Page 4 of 8 NJ Regional Center I RCW1236250925/ ID1236250925 (iii) Provides a detailed statement regarding the amount and source of capital which has been committed to the regional center, as well as a description of the promotional efforts taken and planned by the sponsors of the regional center; (iv) Contains a detailed prediction regarding the manner in which the regional center will have a positive impact on the regional or national economy in general as reflected by such factors as increased household earnings, greater demand for business services, utilities, maintenance and repair, and construction both within and without the regional center; and (v) Is supported by economically or statistically valid forecasting tools, including, but not limited to, feasibility studies, analyses of foreign and domestic markets for the goods or services to be exported, and/ or multiplier tables. (4) *** (5) Decision to participate in the Immigrant Investor Program. The Assistant Commissioner for Adjudications shall notify the regional center of his or her decision on the request for approval to participate in the Immigrant Investor Program, and, if the petition is denied, of the reasons for the denial and of the regional center's right of appeal to the Associate Commissioner for Examinations. Notification of denial and appeal rights, and the procedure for appeal shall be the same as those contained in 8 CFR 10 3. 3. In reviewing this application, USCIS has to determine whether the request for regional center designation has met all of the regulatory criteria and thereby will maintain a regional center within which aliens seeking to obtain permanent resident status under section 203(b)(5) of the Act will be able to successfully establish a new commercial enterprise (as described in 8 CFR § 204.6(h)) with the qualifying investment that will benefit the United States economy and create 10 full-time jobs, including jobs indirectly created through the new commercial enterprise. III. Issues A. Issue 1: The applicant was requested to provide a detailed and itemized construction timeline and transparent, objective and verifiable data. The applicant submitted a letter from Sam Gershwin, the president of Westminster Communities and the person responsible for all the project's construction-related activities. The letter indicated that the 26-month construction timeline is reasonable. The letter lists the relevant phases of the construction effort but does not provide a timeline in detailed and itemized form. Therefore, the applicant has yet to submit a detailed and itemized construction timeline. Attachment to lTD Coversheet 96 U.S. Immigration Fund- NJ Regional Center I RCW1236250925/ ID1236250925 Page 5 of 8 • This issue will remain unresolved until the applicant submits an itemized construction timeline showing all relevant phases of the construction effort. • The issue will also remain unresolved until the applicant provides transparent, objective, and verifiable data illustrating that the proposed construction timeline and budget are within a reasonable range when compared to industry standards. B. Issue 2: The applicant was requested to clarify specific unresolved issues in the Impact Analysis. The applicant solicited the expertise of Evans, Carroll, and Associates (Evans-Carroll) to conduct the economic impact analysis. Evans-Carroll calculates the potential economic impacts of the construction expenditures (hard and soft) and the leasing operations of the apartment building. Economic Impact Model Used (IMPLAN. RIMS II REDYN. etc.) . RIMS II calibrated for the following counties in the State of New Jersey: Hudson, Essex, Union, Bergen, Passaic, Morris, Monmouth, and Middlesex. (b)(4) Model Inputs (initial change in final demand. initial change in direct jobs. etc.) o4 I 1. Hard Construction: Evans-Carroll uses a hard construction expenditure estimate as a final demand input into RIMS II. a. Transparency: The parameters are based on a construction budget prepared by the Kushner Companies-the project developer-and the KABR Group-a real estate holding company. However, the construction cost budget presented on page 3 7 of the economic impact analysis is illegible. The applicant must provide a legible construction cost budget that is detailed and itemized. b. Applicability: The parameters are applicable to the project. Please note, however, that the applicant does not provide a verifiable, detailed, and itemized construction cost timeline (see Issue 1, above). Thus, the applicant may only take credit for the indirect and induced jobs resulting from the hard construction expenditures. c. Reliability: The construction cost budget is verified by Sam Gershwin, the president of Westminster Communities and person responsible for the construction of the project. Thus, the parameters are reliable. d. Up-to-Date: The parameters are up-to-date. • Issues a. and b. remain unresolved. 2. Soft Construction Costs: Evans-Carroll uses the following soft construction expenditures estimates as final demand inputs into RIMS II: Category FF&E Expenditure Estimate (b)(4) Architectural and Engineering Services Attachment to lTD Coversheet 97 U.S. Immigration Fund~ N] Regional Center I RCW1236250925/ ID1236250925 Page 6 of 8 a. Transparency: The parameters are based on a construction budget prepared by the Kushner Companies, the project developer and the KABR Group, a real estate holding company. However, the construction cost budget presented on page 37 of the economic impact analysis is illegible. The applicant must provide a legible construction cost budget that is detailed and itemized. b. Applicability: The parameters are applicable to the project. c. Reliability: The parameters are verified by the construction manager and are reliable. d. Up-to-Date: The parameters are up-to-date. (b)(4) • Issue a. remains unresolved 3. Leasing Operations: Evans-Carroll calculates a rental income estimate of t Ifor the first year of operations and uses this estimate as a final demand input into RIMS II. a. Transparency: The rental income estimate is based on a detailed and itemized pro forma financial statement provided by the Kushner Companies and the KABR Group. Thus, the parameters are transparent. b. Applicability: The parameters are not fully applicable because the rental income estimate includes parking revenue. It is not an acceptable methodology to include revenue derived from parking operations because parking operations do not pertain to real estate leasing activities. c. Reliability: The parameters are reliable. d. Up-to-Date: The parameters are up-to-date. • Issue b. remains unresolved. The taple below presents a summary of the critical assumptions used to derive the model inputs. NAICS Code 2361/2362 Result/Model Input Critical Assumption Used Hard Construction cost expenditure estimate is based on the developer's construction cost bud2et. (a) Rental revenue estimate developer's pro forma (b) Deflated to 2008 dollar terms. (b)(4) oq 53111 lbased on the 5413 Soft construction cost estimates are based on the developer's Not Provided construction cost budget Multiplier(s) Used (Direct Emplovment. Direct Effect Earnings. Final Demand Output. etc.) and Analysis of Application of Multiplier The results of the analysis are summarized in the table below. Activity NAICS Code Construction 2361/2362 Input I RIMS II Total Multiplier Jobs (b)(4) I Attachment to lTD Coversheet 98 U.S. Immigration Fund- NJ Regional Center I RCW1236250925/ ID1236250925 Page 7 of 8 (b)(4) I Soft Costs: FF&E Not Provided Architectural and Engineering Services 5413 Rental Income Operations I I 53111 Total *Indirect and induced jobs only It appears that RIMS II is used in an inappropriate manner. It is not an acceptable methodology to include revenue derived from parking operations because parking operations do not pertain to real estate leasing activities. • Please calculate employment impacts from parking operations separately using the appropriate industry multiplier. • Please provide the NAICS industry code pertaining to FF&E expenditures. IV. Decision This notice serves as notification of USCIS' intention to deny the applicant's request for designation as a regional center as the Form I-924 does not meet the regulatory requirements at 8 C.P.R. § 204.6(m)(3). Therefore, the applicant is afforded thirty (30) days from the date of this notice to submit additional infor~ation, evidence or arguments in support of the application. Additionally, when USCIS serves a notice by mail, three (3) days are added to the prescribed period in which to respond. See 8 C.P.R. 103.5a(b). Any response to this notice should include a detailed analysis that rebuts the grounds for denial raised above, corroborated by credible independent documentary evidence all of which will be considered before a decision is rendered. V. Review Board Option Pursuant to 8 C.F.R § 103.2(b)(9), USCIS has the authority to request the applicant's appearance for either an in-person interview at the California Service Center (CSC) or a telephonic interview. Should the applicant prefer an in-person or telephonic interview, please indicate as such in response to this notice of intent to deny. However, be advised that USCIS will need to review any additional information, evidence, or arguments the applicant wishes to submit in support of the application before a review board may be scheduled. Upon review of the applicant's response, the applicant will then be contacted via the USCIS Immigrant Investor Program mailbox at USCIS.ImmigrantlnvestorProgram@uscis.dhs.gov for further instructions regarding the time and date of the interview. Attachment to lTD Coversheet 99 U.S. Immigration Fund- NJ Regional Center I RCW1236250925/ ID1236250925 Page 8 of 8 The interview will last approximately 60 minutes. During this time, the applicant will be given the opportunity to present additional information regarding the pending case. The CSC will issue a written decision at a later date, after full consideration of the written record and statements made during the interview. Failure to respond to this notice of intent to deny will result in the denial of the application based on the above stated reasons. Attachment to lTD Coversheet 100 Department ofHomeland ~ecu::.•. U.S. Citizenship and ~igration SerVices Ignacio A Donoso FosterQuan, .LLP Re: U. S.IMMIGR.ATION Ft.JN]).NJ 600 Travis St., Suite 1000 Houston, TX 77002 RETURN TBI~ NOTI<;E ()NTO~b~ ~ REQUJtSIEJ);;INF9Rl\IA'tiON. LISTED ON THE ATTACHED SHEET. ote: You are .given until M~I address at the bottom of this notice;.· I~·; 20f3 . in whieh to ~libntit the ~nested blformition id Please note the recruired .~eadlinefor providing a ~on~~ to thi~·~eq#e~t.f()r Evj~~nc~. ~e ~~1~e reflects the maximum period for respo~dingto this RFE. >Ht:)wev~, since;rtlany bp~igrati~~,benefits time sensitive, you are encouraged to respond to this request as ectrtY as possiblebut no la~{31' than the · provided on the requ~t. are Pm·smnJt to 8 C.F.R..lO~.Z(b)(ll) failure to submit ALL evidence reqpested at qpe time mayres~lt in denial of your application~ :For more information, visit our website at Or call us at .,. WWW:.tiSCis.gov 1-800-375-5283 elepbone service for the hearillgi~paired: t.aoo-7~7-l833 CSC4639 WS25097 DIV m MP 101 U5. Immigration Fund- N] I RCW 1236250925 I ID1236250925 2. A request for initial designation as a Regional Center under the Immigrant Investor Program ("Program") or an amendment to an existing Regional Center designation, may involve: 1. A request for review of an exemplar Form I-526, Immigrant Petition by Alien Entrepreneur, prior to the filing of Form I-52 6 petitions by individual alien entrepreneurs with USCIS and/ or; 2. In the case of a Regional Center amendment request, a review of a new spcciflc capital investment project where the Regional Center designation involved a review of an exemplar capital investment project. lt appears that the applicant is requesting initial designation as a Regional Center under the Program. I. Background: The proposed Regional Center entity, U.S. Immigration Fund · · · NJ, IJ.C (USI:FNJ), was established on December 7, 20 12 in the state of New Jersey, and is structured as a Limited Liability Company. USIFNJ is requesting jurisdiction over a geographic area within the State of New Jersey, including the following counties: Bergen, Essex, Hudson, Middlesex, Monmouth, Morris, Passaic and Union Counties. USIFNJ plans to offer EB-5 capital investment opportunities in affiliated new commercial enterprises, organized as Limited Partnerships and focusing on projects in the following industry categories: Building Valid? Applicable? Yes construction of the mixed-use residential and Yes, this NAICS code applies to the hard retail L1 cili~¥. 2361 5313 S413 Yes, this NAICS code applies to the hard Residential Construction Yes Real Estate Property Mana~!ers Yes Architectural, En)!ill(~erin)!, Related Services Yes construction of the mixed-use residential and retail facilit Yes, this NAICS code applies to leasing and management operations of the mixed-usc residential and construction of the mixed"use residential retail capital investment projects will involve a combination of an equity investment and loan to job creating enterprises located within the proposed bounds of the Regional Center. The applicant's proposed project, 88 Morgan Street Funding, LLC, involves the construction and operations of a 50-story luxury rental apartment building in Jersey City, Hudson County, New Jersey. The project will ATTACFiMEN'l' TO 1797 102 U.S. Immigration Fund Page 3 (b)(4) NJ I RCW!236250925 I ID123625092.5 0 consist of 417 rental apartment units, 217 parking spaces, and approximately 4,000 square feet of retail space adjacent to Tn;mp Plaza I. The applicm t estimates that the project will Jof which be fromOmmigrant investors, and generate approximate] 'obs. I lwill (b)(4) II. Evidentiary Requirements for Regional Center Proposals 8 CFR 204.6 (m) (3), which is appended to this notice, describes the evidence that must be submitted in support of a Regional Center proposal. After review of the proposal, the following information, evidence and/ or clariflcation is required. Note that in response to this notice, that it is helpful to provide a cover lcuer that acts as an executive summary, followed by a table of contents with sections that are tabbed at the bottom of the page. A. Construction Timeline The applicant asserts that construction will span 26 months, beginning with excavation in February or March, 2013 and ending with the acquisition of a temporary certificate of occupancy in April 2015. However, the timeline lacks verifiable detail. • Please present a detailed and itemized construction timeline showing all relevant phases of the construction dTort. • Also, please provide transparent, objective, and verifiable data illustrating that the proposed construction limeline and budget are within a reasonable range when compared to industry standards. B. Economic ImpaJ:t Analysis. applicant solicited the expertise of Evans, Carroll & Associates (Evans-Carroll) to conduct the economic impact analysis. Evans-Carroll calculates the potential economic impacts of the construction and operations of a 417-unit luxury apartment tower in Jersey City, Hudson County, New Jersey. The Economic Impact Model used is RIMS II calibrated for the counties of Hudson, Essex, Union, Bergen, Passaic, Morris, Monmomh, and Middlesex. Model Inputs (initial change in final demand, initial change in direct jobs, etc.) are as follows: (b)(4) lin l . Hard Construction: Evans-Carroll usesl estimated hard construction costs from the pro forma financial section of the business p.lan as an input into the RIMS II model. a. Transparency: The parameters are transparent. They are clearly sourced from the pro fonna financial section of the business plan. b. Applicability: The parameters are not applicable. The hard construction costs are inflated due to the inclusion of contingency costs and police fees. ATTACHMENT TO 1797 103 U.S. Immigration Fund- NJ I RCW1236250925 I !D12362.50925 Page 4 c. Reliability: The parameters are not reliable. They are not supported by verifiable data and analysis or a comparison to industry standards. d. Up-to-Date: The parameters appear up-to-date. (b)(4) 2. • Please resolve Issues b. and c. tn F~&E: Evans-Carrollusesl estimated FF&E costs from the pro forma financial section of rhe business plan as an mpul mto the RIMS II model a. Transparency: The parameters are transparent. They are clearly sourced from tbe pro f(.>rma flnancial section of the business plan. b. Applicability: The parameters are applicable. c. Reliability: The parameters are not reliable. They are not supported by veri.fiable data and analysis or a comparison to industry standards. d. Up-to-Date: The parameters appear up-to-date. (b)(4) • Please resolve Issue c. I lin 3. Operations: Evans-Carroll uses estimated annual apartment rental income from the pro forma flnancial section of the business plan costs as an input into the RIMS II model a. Transparency: The parameters are transparent. They are clearly sourced from the market analysis and pro forma financial section of the business plan. b. Applicability: The parameters are applicable. c. Reliability: The parameters are reliable. The market analysis presents competing developments that substantiate most of the revenue assumptions used in the analysis. d. Up-to-Date: The parameters appear up-to-date. (b)(4) 4. Soft Construction: Evans-Carroll use4 ~n estimated soft construction costs from the pro forma flnancial section of the business plan as an input into the RIMS II model a. Transparency: The parameters are transparent. They are dearly soun;ed from the pro forma financial secti.on of the business plan. b. Applicability: The parameters are applicable. c. Reliability: The parameters are not reliable. They are not supported by verifiable data and analysis or a comparison to industry standards. d. Up-to-Date: The parameters appear up to·date. • Please resolve Issue c. III. General issues Translations: Any dtH:;ument containing a foreign language submitted to users shall be accompanied by a full English translation that the translator has certif1ed as complete and accurate, and by the translator's certification that he or she is competent to translate from the foreign language into English. ,\TTACHM!:NTTO I· 797 104 U.S. Immigration Fund Page 5 NJ I RCW123625092 5 I ID 1236250925 Copies: Unless specifically required that an original document be filed with an application or petition, an ordinary legible photocopy may be submitted. Original documents submitted when not required will remain part of the record, even if the submission was not required. NOTES: Any document submitted to the USCIS containing a foreign language, must be accomponied by o full English Jan9uage translation thut hns been certified by the translator as complete and accurate, und thut the translawr is competent to translate from the foreign language into English. Submit dear and leaible copies of all requested evidence. If dear and legible copies are not possible, submit the original documents. These origindls will be returned, if requested. P!ense provide an index of any submitted evidence and include corresponding tabs for each section of evidence. IV. Regulatory References The regulation at 8 CFR 103.2(a)(3) provides the following deflnitions: (3) Representation. An applicant or petitioner may be represented by an attorney in the United States, as dcf1ned in l.l(f) of this chapter, by an attorney outside the United States as ddined in 292.J(a)(6) of this chapter, or by an accredited representative as defined in 292.1 (a) (4) of this chapter. A beneficiary of a petition is not a recognized party in such a proceeding. An application or petition presented in person by someone who is not the applicant or petitioner, or his or her representati.ve as deflned in this paragraph, shall be treated as if received through the mail, and the person advised that the applicant or petitioner, and his or her representative, will be notif1ed of the decision. Where a notice of representation is submitted that is not properly signed, the application or petition will he processed as if the notice had not been submitted. The regulation at 8 CFR 204.6(e) provides the following definitions: Qualifying employee means a United States citizen, a lawfully admitted permanent resident, or immigr;mt lawfully authorized to be employed in the United States including, but not limited conditional resident, a temporary resident, an asylee, a refugee, or an alien remaining in the United under suspension of deportation. This definition does not include the alirm entrepreneur, the entrepreneur's spouse, sons, or daughters, or any nonimmigrant alien. other to, a States alien Regiol'lal center means any economic unit, public or private, which is involved with the promotion of economic growth, including increased export sales, improved regional productivity, job creation, and increased domestic capital investment. The regulation at 8 CFR 204.6(j)(4) provides~ X1T;\CHMEN 7 TO 1·797 105 U.S. Immigration Fund-· NJ I RCW123625092S /JD 1236250925 Page 6 cn~ation -- (i) GeneraL To show that a new commercial enterprise will create not fewer than ten ( 10) full-time positions for qualifying employees, the petition must be accompanied by: (A) Documentation consisting of photocopies of relevant tax records, Form I 9. or other similar documents for ten ( 10) qualifying employees, if such employees have already been hired following the establishment of the new commercial enterprise; or (B) A copy of a comprehensive business plan showing that, due to the nature and projected size of the new commercial enterprise, the need for not h~wer than ten ( 10) qualifying emp.loyees will result, including approximate elates, within the next two years, and when such employees will be hired. Troubled business. To show that a new commercial enterprise which has been established through a capital investment in a troubled business meets the statutory employment creation requirement, the petition must be accompanied by evidence that the number of existing employees is being or will be maintained at no less than the pre-investment level for a period of at least two years. Photocopies of tax records, Forms I-9, or other relevant documents for the qualifying employees and a comprehensive business plan shall be submitted in support of the petition. (iii) Immigrant Investor Pilot Program, To show that the new commercial enterprise located within a regional center approved for participation in the Immigrant Investor Pilot Program meets the statutory employment creation requirement, the petition must be accompanied by evidence that the investment will create full-time positions for not fewer than 10 persons either directly or indirectly through revenues generated from increased exports resulting from the Pilot Program. Such evidence may be demonstrated by reasonable methodologies including those set forth in paragraph (m)(3) of this section. The regulation at 8 CFR 204.6(m) (1) provides: ( 1) Scope. The Immigrant Investor Pilot Program is established solely pursuant to the provisions of section 610 of the Departments of Commerce, Justice, and State, the Judiciary, and Related Agencies Appropriation Acr, and subject to all conditions and restrictions stipulated in that section. Except as provided herein, aliens seeking to obtain immigration benefits under this paragraph continue to be subject to all conditions and restrictions set forth in section 203 (b )(S) of the Act and this section. The regulation at 8 CFR 204.6(m)(3) provides: (3) Requirements for regional centers. Each regional center wishing to participate in the Immigrant Investor Pilot Program shall submit a proposal to the Assistant Commissioner for Adjudications, which: ATTACHMENT TO H97 106 U.S. Immigration Fund Page 7 NJ I RCW1236250925 / ID12362S0925 (i) Clearly describes how the regional center focuses on a geographical region of the United States, and how it wlll promote economic growth through increased export sales, improved regional productivity, job creation, and increased domestic capi.tal investment; (H) Provides in verifiable detail how jobs will be created indirectly through increased exports; (iii) Provides a detailed statement regarding the amount and source of capital which has been committed to the regional center, as well as a description of the promotional efforts taken and planned by the sponsors of the regional center; (iv) Contains a detailed prediction regarding the manner in which the regional center will have a positive impact on the regional or national economy in general as reflected by such factors as increased household earnings, greater demand for business services, utilities, maintenance and repair, and construction both within and without the regional center; and (v) Is supported by economically or statistically valid forecasting tools, including, but not limited to, feasibility studies, analyses of foreign and domestic markets f(x the goods or services to be exported, and/ or multiplier tables. Note that promoting economic growth through increased export sales is no longer a requirement. The regulation at 8 CFR 204.6(m)(6) provides: Tennination of participation of regional centers. To ensure that regional centers continue to meet the requirements of section 610(a) of the Appropriations Act, a regional center must provide USCIS with updated information to demonstrate the regional center is continuing to promote economic growth, improyed regional productivity, job creation, or increased domestic capital investment in the approved geographic area. Such infmmation must be submitted to USCIS on an annual basis, on a cumulative basis, and/or as otherwise requested by USCIS, using a fonn designated for this purpose. USCIS will issue a notice of intent to tem1inate the participation of a regional center in the pilot program if a regional center fails to submit the required information or upon a detennination that the regional center no longer serves the purpose of promoting economic growth, including increased export sales, improved regional productivity, job creation, and increased domestic capital investment. The notice of intent to tenninate shall be made upon notice to the regional center and shall set forth the reasons for tennination. The regional center must be provided 30 days from receipt of the notice of intent to terminate to offer evidence in opposition to the ground or grounds alleged in the notice of intent to tem1inate. If USCIS determines that the regional center's participation in the Pilot Program should be tenninated, USCIS shall notify the regional center of the decision and of the reasons for termination. As provided in 8 CFR 103.3, the regional center may appeal the decision to USClS within 30 days after the service of notice ( 6) ATTACHMENT TO 1-797 107 Confidential Information I Attorney-client privileged !HE CC>r,·:Frir.J:,in£1 sorne record-breaking leases. In conjunction with our' partners, we also portron of our 666 Frfth Avenue retail for more than $700 million. We are w1th ou1' str·ategic and rneasur·ed growth and plan to continue to rnake <>cr!u::,it.ions as the rnarket pr·os<~nt.s opportuniticlt> cornpany remains [JUided by its tJxperienctJ and ability to emote long-term value ,.;: r'Eitcqically focused markets. We continue to attract the best talent in the and remain focused on gmwing our or·gi:mizatiun with talented professionals ·.rvith our assets. I am plt1ased to rrJport t,hat Kushner Companies is str·on[Jer and we stand poised for continusd gr'owth with our· valued partners. ,Jar·ed Kushner President and CEO 120 HNH r. a 5 w, 122 mwm: I . 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A un?iw . . . grime/WW . . M. ?aw/M, (My 4? Ha?z. . Ex? RA RBS Custom t k Sovereign Bank 2 2 ~· Union Center bank hapoalim UNION CENI!il! NAllONAl !lANK HMrt Smart &11ki•1t( Freddie Mac Communi~r National BanK Bank of America New York Community Bank Prudential investors 'IPUBLIC CRE BANK us - ~ ORITANI BANK f.m.JDGEH. A. tv1PTON NATIONAL BANK 137 2 MIST 2225 WEST RANDOLPH STREET, cmcmawgp m! u GAIA ROCKPOINT atalanta VORNADO MADDEN MIDTOWN REALTY THUST THE CARLYLE GROUP GLOI'\Al AlTtRNAliVf ASSH MANAGEMENT KABRGROUP IRON HOUND MANAG16MENT COMPANY, LLC. SQUARE MILE CAPITAl GELLERT GLOBAL GROtH' . ". C~RO N MANAGUA~ NT UC ~Stonehage 139 NEW JERSEY CORPORATE HEAQDUARTERS. 18 COLUMBIA FLORHAM NJ 140 ,3.xim?x?v/MV? uM/wmgm . E. M, .4745,7,2? v: 7521/ .1623.254. . A . . . h/MW/gw mam/avg/mag . ..27Kushner Companies, LLC: Private Company Inform . - Businessweek 3/l/13 3:05AM March 01, 2013 3:03AM ET Real Estate Management and Development Company Overview of Kushner Companies, LLC People Company Overview Key Executives For Kushner Companies, LLC Kushner Companies, LLC, a diversified real estate Mr. Charles Ramat Chie Executive Officer and President company, engages in the ownership, management, development, and redevelopment of multifamily apartments, as well as office, industrial, and retail Mr. Jeffrey Freireich Vice Chairman spaces in New York, New Jersey, Pennsylvania, and Illinois. Its management services include scrutinizing Mr. Richard Stadtmauer marketing, pricing, tenant relations, amenities, and Vice Chairman maintenance issues for property operations; and development services include purchasing raw land, Mr. Charles F. McClafferty and developing commercial and residential Chief Financial Officer properties. The company also engages in acquisitions by executing joint ventures with various Mr. Sam M. Gershwin Director and President of Westminster Communities institutional partners; leasing activities through a LLC tenant base and a broker network to deal with brokers, bankers, and contractors for commercial real Compensation as of Fiscal Year 2012. estate operations; and finance activities. In addition, it constructs single-family housings, multifamily complexes, active adult communities, commercial office buildings, and urban shopping centers. Kushner Companies, LLC was founded in 1954 and is based in New York, New York. Hide Detailed Description 666 Fifth Avenue New York, NY 10103 United States Phone: 212-527-7000 Fax: 212-527-7007 www.kushnercompanies.com Founded in 1954 From Around the Web http: 11investing. bu si nessweek.com 1research/ stocks I private Isnaps hot.asp?privcapld =6 76216 byTaboola Page 1 of 2 142 Kushner Companies, LLC: Private Company Inform~, - Businessweek 3/1/13 3:05AM Kushner Companies, LLC Key Developments Kushner Companies, LLC Presents at CRE's Inaugural Gold Coast Investment Summit, Feb-26-2013 Feb 6 13 Kushner Companies, LLC Presents at CRE's Inaugural Gold Coast Investment Summit, Feb-26-2013. Venue: Maritime Pare, Jersey City, New Jersey, United States. Presentation Date & Speakers: Feb-26-2013, Darin Raiken, Director of Acquisitions, James Block, Director of Finance. CIT Group Inc. Provides Financing for Kushner Companies, LLC Jan 14 13 CIT Group Inc. announced that CIT Real Estate Finance arranged a first lien term loan for Kushner Companies, LLC. The financing will be used to renovate a 1,000-unit residential apartment complex in the Northeast. Financing was provided by CIT Bank, the U.S. commercial bank subsidiary of CIT. Terms of the transaction were not disclosed. Kushner And Rockpoint Reportedly To Acquire 10 Maryland Apartment Complexes Aug 7 12 Kushner Companies, LLC and Rockpoint Group, L.L.C. are buying 10 Maryland apartment complexes in a transaction valued at $500 million, GlobeSt.com reports. Similar Private Companies By Industry Recent Private Companies Transactions Company Name Region Boston Design Center United States River Distribution Sub Inc United States Zuckerman Gravely Development, Inc. United States Hannay Investment Properties, Inc. United States The Continental Group, Inc. United States Type Date Target Merger/Acquisition February 7, 2013 Piazza at Schmidt's and Liberties Walk at Schmidt's Merger/Acquisition August 30, 2012 Portfolio of Eight Walk-Ups in The East Village, West Village and SoHo Merger/Acquisition July 20, 2012 Skyline Apartments and Boulevard Apartments in Hasbrouck Heights http·// i nvesti ng.businessweek.com{research/ stocks/private/snapshot.asp?privcapld;6 76216 Page 2 of 2 143 Home 2/28/13 3:53 PM Building Opportunity THE KABR GROUP is dedicated to the opportunistic purchase of select real estate assets. Throughout the past several years, the company has been extremely active in acquiring value-add properties Learn more> http 1/kabrgroup.com/ Page 1 of 1 144 The Kabr Group 2128113 3:54PM The KABR Group The KABR Group was founded by Kenneth Pasternak, Laurence Rappaport, and Adam Altman in 2008. They are experienced real estate professionals and entrepreneurs who have a successful and proven track record as owners and operators of Real Estate. Headquartered in Ridgefield Park, NJ, the first two funds sponsored by the KABR Group raised approximately $45,000.000 each, of which in excess of 50% of the monies raised was equity contributed by the sponsor. The initial fund was launched at the end of 2008 as a response to the impending real estate crisis. OUR TEAM> The KABR Group has opportunistically acqUired select real estate assets througt1 the market cycle bottom. It has achieved success from its ability to identify, purchase and manage properties from highly motivated sellers at discounts to their intrinsic value. KABR targets returns in excess of 18%. Unencumbered by the typical "market peak" purchases, KABR employs a fresh balance sheet to acquire and work through distressed, mismanaged and over-leveraged properties. KABR is expected to raise its third fund in 2013. For more information, please email us at info@kabrgroup.com. http •11kabrgro up.com 1index. php Icompany lthe-kabr-group Page 1 of 1 145 KENNETH PASTERNAK 2128113 3:55PM KENNETH PASTERNAK CHAIRMAN OF KABR INVESTMENT COMMITTEE Mr. Pasternak has over 25 years of experience investing in real estate. The Pasternak Family Office currently owns and/or operates approximately $100 million worth of real estate assets. Mr. Pasternak began his career at Spear, Leeds & Kellogg in 1979 and eventually became the head of all capital markets. In 1995, Mr. Pasternak co-founded Knight Trading Group. a publicly traded multi-billion dollar financial services company. Mr. Pasternak served as Knight"s Chairman and NEWS> CEO from its founding through 2002. While there, Mr. Pasternak engaged in more than $1 billion of capital transactions and managed a $5 billion balance sheet. Under his leadership, Knight"s market capitalization exceeded $5 billion. After retiring from Knight Trading Group, Mr. Pasternak founded Chestnut Ridge Capital, LLC, a Northern New Jersey family office with over $300 million in assets under management. KABR was formed in 2008 when Mr. Pasternak conducted a capital raise among family and friends. In addition to serving on the boards of publicly traded as well as private institutions, Mr. Pasternak is currently serving as the Chairman of the KABR Company. Mr. Pasternak is also a General Partner in the development of the Belleayre Resort in upstate New York, a two hotel, 1,400 acre resort with over 1 million square feet of planned construction. For more information, please visit: http 1/en.wikiped;a.org/wiki/Kenneth_Pasternak KENNETH PASTERNAK I LAURENCE RAPPAPORT I ADAM ALTMAN http •1I kabrg roup.com I index. php I company I ou r-tearn I it ern I 108- ken neth-pasternak Page 1 of 1 146 LAURENCE RAPPAPORT 2/28/13 3:55PM LAURENCE RAPPAPORT CHIEF EXECUTIVE OFFICER Laurence J. Rappaport, Esq., has over 25 years of experience as an owner, developer and practicing lawyer. As early as 1979, Mr. Rappaport purchased. rehabilitated and sold approximately 18 apartments buildings in Hoboken, New Jersey. Later he obtained approvals for, developed, constructed and/or sold in excess of 600,000 square feet of shopping centers, apartments, office buildings and industrial facilities, as well as developed, NEWS> built and operated manufactured home communities, townhouse communities and single family sub-divisions. Over the last two decades, Mr. Rappaport has also served as legal counsel to numerous developers, managers and investors involved in real estate transactions and operations. Currently, Mr. Rappaport owns and manages approximately 500 residential units in the New York/New Jersey area as well as significant office and industrial assets totaling over 250,000 square feet. Additionally, Mr. Rappaport is developing an industrial park in East Windsor, New Jersey, which will consist of 225,000 square feet of flex office/warehouse space. KENNETH PASTERNAK I LAURENCE RAPPAPORT I ADAM ALTMAN http 11 kabrgroup.com/index.php Icompany /our-team/item/ 109-laurence-rappaport Page 1 of 1 147 2128113 3:56PM ADAM ALTMAN ADAM ALTMAN MANAGING DIRECTOR Mr. Altman is a real estate investor and entrepreneur with over 10 years of experience on both the buy and sell-side of the business. Before joining KABR. Mr. Altman was a senior member of the Acquisitions and Development group for a multi-billion healthcare company. In that capacity, Altman managed and sold troubled assets within the firm"s real estate portfolio and identified real estate sites on which to build and operate NEWS> healthcare facilities. Mr. Altman also served as a portfolio manager and analyst for Chestnut Ridge Capital and the Pasternak Family Office. KENNETH PASTERNAK I LAURENCE RAPPAPORT I ADAM ALTMAN http: II kabrgrou p.com 1i ndex.php I company I our-team /item I 110-adam-altman Page 1 of 1 148 Portfolio 2/28/13 3:58PM ALL NEW JERSEY NEW YORK FLORIDA 191:\ ROUTE 9N 207-5 UNION STREET 2263 MORRIS AVENUE OTHER MANALAPAN, NJ JERSEY CITY, NJ BRONX, NY 40,000 square foot building includes onsite 16 Unit apartment rental building located in parking, newly renovated lobby, upgraded Jersey City, NJ 32 Unit apartment rental building located at 2263 Morris Avenue in the Bronx, NY 2342 RYER A VENUE 3 ADP BOULEVARD 30 JOURNAL SQUARE BRONX, NY 32 Unit apartment rental building located at ROSELAND, NJ Four-story office building on 5 acres located in JERSEY CITY, NJ KABR along with Kushner Companies acquired 2342 Ryer Avenue in the Bronx, NY the highly desirable Roseland sub-market. The historical Jersey Journal building located one building is approximately 77,000 RSF block from the Journal Square PATH station. bathrooms and new building conference room. http/ I kabrgroup.com/index.php/ gallery Page 1 of 4 149 Portfolio 2/28/13 3:58PM 3131 APPLING ROAD 3210 RIVERDALE AVENUE 330, 350. 352 MOTOR PARKWAY BARTLETT, TN BRONX, NY HAUPPAUGE, NY The facility consist of 263,000 square feet warehouse and offices. 3210 Riverdale Avenue, Bronx NY is a high-end residential property which is located in the desirable Riverdale section of the Bronx. amenities include on-site cafe, a bank branch, 24/7 access, and ample parking. -165 COLUMBUS AVE 535 CONNECTICUT AVE 55 CHALLENGER ROAD currently used as assembly, distribution, 130,000 square foot office building, property VALHALLA, NY NORWALK, CT RIDGEFIELD PARK, NJ Located on Columbus Ave in Valhalla, NY the The 175,000 square foot, class A suburban KABR along with Kushner Companies acquired building is setback and secluded from the office building is newly renovated and located the debt collateralized by 55 Challenger Road in normal noise and congestion of an office park. directly off of 1-95, offering excellent visibility. Ridgefield Park, NJ. 611 ROUTE 46 7 BECKER FARM ROAD 85 CHALLENGER ROAD HASBROUCK HEIGHTS, NJ ROSELAND, NJ RIDGEFIELD PARK, NJ 611 Route 46 is a 138,000 square foot Class B Four-story office building on 5 acres located in office building purchased by KABR in 2009. the highly desirable Roseland sub-market The building features include full service cafe ... 85 Challenger Road is a 235,000 square foot Class A office building purchased by KABR in ALLWOOD ATRIUM http 1/kabrgroup.com/index.php/gallery ARLINGTON APPARTMENTS 2009. BAY STREET DEVELOPMENT Page 2 of 4 150 Portfolio 2/28/13 3:58PM CLIFTON,NJ JACKSONVILLE, FL The All wood Atrium consist of two newly KABR II purchased the 220+ residential units In 2011, The KABR Group acquired the land renovated 1st class four story office buildings comprise a gated community in the Jacksonville and development rights to the 2nd phase of the with 17,200 SF per floor. area. Trump Jersey City complex. FRANKLIN AVE PLAZA LIVINGSTON SHOPPING CENTER MOLJNT' PROSPECT TOWERS GARDEN CITY, NY JERSEY CITY, NJ NEWARK, NJ Franklin Avenue Plaza, located in Garden City, LIVINGSTON, NJ Located at 380 and 402 Mt. Prospect Avenue. NY, consists offour Class A office buildings, The 120,000 square feet center is a 2 big-box- Beautifully renovated spaceous apartments in store strip mall that enjoys a privileged location two vintage Forest Hill high-rise towers. together with structured parking. in one of the main corridors of the area. PARK AT BOULDERCREST TANGLEWOOD THE PARK AT CHANDLER ATLANTA, GA WAREN ROBING, GA Tanglewood- 159 unit Garden Style Apartment community located in Warner Robbins, GA. For leasing information DECATUR,GA Park at Candler- 275 unit Garden Style Apartment communitv located at the erimeter intersection of A •kalb. Park at Bouldercrest 288 unit Garden Style Apartment community located at the Perimeter intersection of 1-295 in Dekalb TOP WEST CHASE WILLOW LAKE APARTMENTS AUSTELL, GA JACKSONVILLE, FL http I /kabrgroup.com/index.phpjgallery Page 3 of 4 151 2/28/13 3:58PM Portfolio West Chase is a 288 unit Garden Style Apartment community located minutes from the Perimeter intersection of 1-20 and 1-295. http: 11 kabrgroup.com /index.php/ gallery Page 4 of 4 152 1-924 Application- US Immigration Fund-NJ Response to RFE RCW 1236250925 DOCUMENT Letter dated February 28, 2013, from Sam Gershwin, President of Westminster Communities, the affiliate of Kushner Companies, and a real estate construction professional with over 35 years of experience. TAB No. 2. 153 Thursday, February 28, 2013 Subject: 88 Morgan Street, Jersey City, New Jersey Project To Whom It May Concern, I am President of Westminster Communities, responsible for all construction and constructionM related activities for Kushner Companies. Kushner Companies is a group of real estate development and management companies and is engaged in the mixed-use commercial development project located at 88 Morgan Street, Jersey City, New Jersey (the "Project"). I have worked in multiple capacities over the past 35 years in the field of construction and construction management. I have personally managed over 100 construction projects totaling more than $25 Billion in construction costs. I have had management responsibilities for the creation of commercial construction budgets and the day-to-day management of construction budgets and activities. I am also responsible for the creation and management of the construction budget for the 88 Morgan Street Project and am personally involved on a daily basis with the present design of the construction documents and will be involved on a daily basis with the overall management of the construction activities for this Project. I have personally worked on the development of the construction budget for the 88 Morgan Street Project. Based on my experience and knowledge of industry standards, the construction timeline as set forth in the Business Plan is a reasonable projection of the time it will take to complete the construction of the apartment tower and related improvements on the property is consistent with similar current and past projects completed by Kushner Companies. The relevant phases of construction are as follows and will take approximately 26 months to complete: • • • • • • • • Excavation Concrete Foundation and Waterproofing Tower Building Construction begins Tower Building Construction completed Roofing and Tower Crane Areas Interior Finishes Mechanicals, Electrical, Plumbing and Sprinkler Systems Punch List and Temporary Certificate of Occupancy items 154 In addition, the "hard construction cost" and the furniture, fixtures, and equipment (11 FF&E") budgeted amounts are based on the current plans and specifications for the construction. Those costs are a reasonable projection based on industry standards and my experience on comparable construction projects. The 11 SOft cosf' amount budgeted for this Project is based primarily on an agreement between Kushner Companies and its architect. The budget from that Architectural Agreement is attached to this letter. Based on my 35 years of experience in the field of construction and construction management and my review of the construction plans and other available information relative to the proposed construction of the 88 Morgan Street Project, it is my professional opinion that the hard cost, soft cost and FF&E budget outlined in the 88 Morgan Street Business Plan is an accurate projection of the estimated costs to complete the Project. Sincerely, Sam Gerswhin President Westminster Communities 155 1-924 Application- US Immigration Fund-NJ Response to RFE RCW 1236250925 DOCUMENT Executive Profile of Mr. Sam Gershwin from Bloomberg Business Week (businessweek.com) dated March 1, 2013. TAB No. 3. 156 Sam Gershwin: Executive Profile & Biography- Busir~;:.,~week 311113 2:36AM March 01, 2013 2:35AM ET Real Estate Management and Development Company Overview of Kushner Companies, LLC Snapshot Overview Board Members Committees Executive Profile Sam M. Gershwin Director and President of Westminster Communities LLC, Kushner Companies, LLC Age Total Calculated Compensation This person is connected to 1 Board Members in 1 different organizations across 1 different industries. See Board Relationships Background Sam M. Gershwin serves as President of Westminster Communities LLC, the construction division of Kushner Companies. For the past 25 years, Mr. Gershwin served as a corporate officer and managing member of single-asset real estate development companies. Active in his community, Mr. Gershwin has CoChaired the Livingston Township 9/11 Memorial Committee. He serves as Director of Kushner Companies. He serves as a member of the Board of Governors for Crestmont Country Club and serves on the Board of Trustees of Temple Beth Shalom in Livingston. He holds a B.S. degree in Civil Engineering from Lafayette College in Easton, Pennsylvania, and an M.B.A. from Seton Hall University in South Orange, New Jersey. Collapse Detail From Around the Web byTaboola Corporate Headquarters Annual Compensation 666 Fifth Avenue New York, New York 10103 There is no Annual Compensation data available. United States Stocks Options There is no Stock Options data available. Phone: 212-527-7000 Fax: 212-527-7007 Total Compensation There is no Total Compensation data available. http: 11i nve sting. bu si nessweek.com 1research 1stocks 1private/ person .as ... apld- 676216&previou sCapld -6 76216&previousTitle- Kus hner%2 OCom panies Page 1 of 2 157 Sam Gershwin: Executive Profile & Biography- Busi~:~,sweek 3/1/13 2:36AM Board Members Memberships Director and President of Westminster Communities LLC Kushner Companies, LLC Education BS Lafayette College MBA Seton Hall University Other Affiliations Lafayette College Seton Hall University Businessweek More About "sam gershwin westminster communities" \Vrstminster Dog Show Viewer's Guide: http: 11i nves ti ng. bu si nessweek.com 1research/ stocks 1private/ person.as ... apld = 676216&previousCapld = 676216&previou sTitle= Kushner%20Compan ies Page 2 of 2 158 1-924 Application- US Immigration Fund-NJ Response to RFE RCW 1236250925 DOCUMENT Revised Economic Analysis prepared by Evans, Carroll & Associates for the 88 Morgan Street Project dated February 28, 2013. TAB No. 4. 159 Economic Impact of Developing a Luxury Apartment Building Located in Jersey City, NJ, for the US Immigration Fund, LLC and its New EB-5 Regional Center in Northern New Jersey Prepared for: The U. S. Immigration Fund Prepared by: Michael K. Evans Evans, Carroll & Associates, Inc. 2785 NW 26th St. Boca Raton, FL 33434 561-470-9035 mevans@evanscarrollecon.com February 28, 2013 160 2 Table of Contents 1. Executive Summary 3 2. Tabulation of Principal Results 4 3. Introduction and Scope of Work 8 4. Brief Introduction to the RIMS II Model and its Multipliers 9 5. Methodology for Calculating Indirect Jobs 12 6. Economic Parameters for 8 Counties in New Jersey 17 7. Location of Hotel, Maps of Area, and TEA Analysis 32 8. Economic Impact of Construction Activity 36 9. Economic Impact of Rental Income 45 10. Summary Statistics for Entire Project 51 Appendix: Resume of Dr. Michael K. Evans 53 161 3 1. Executive Summary • The U.S. Immigration Fund, LLC plans to open a new EB-5 regional center in northern New Jersey. The first project will be a luxury apartment building located at 88 Morgan Street in Jersey City, NJ. The building will have 417 apartment units, 214 parking spaces, and about 4,000 square feet of retail space. (b)(4) • The economic impact results are calculated using the RIMS II input/output model for the following 8 counties in New Jersey: Hudson, Essex, Union, Bergan, Passaic, Morris, Monmouth, and Middlesex. These counties are chosen based on commuting patterns, as explained later in this report. 162 4 2. Tabulation of Principal Results Table A shows the annual revenue, the final demand multiplier, and the total number of jobs created by the construction and operations of the apartment building. Since the construction will take more than two years, the economic impact figures for the hard construction costs and appropriate soft costs include direct as well as indirect and induced jobs. All figures are permanent jobs. Table A. Summary of Employment and Revenue Estimates (b)(4) Table B1 shows the NAICS codes for each type of economic activity. descriptions are taken from: http://www.census.gov/cgi-bin/sssd/naics/naicsrch?chart=2012 The Table B1. NAICS Codes for Each Type of Activity 2362 _Nonresidential Building Construction 2361_Residential Building Construction 53111.Lessors of Residential Buildings and Dwellings 5413_Architectural, Engineering, and Related Services Table B-2 shows the print screen of all the RIMS II multipliers used in this study. Please note that for purchases of FF&E, the multiplier used is the construction multiplier excluding direct jobs, calculated as I I (b)(4) 163 5 Table 82. Print Screen of Multipliers 230000 Construction 531000 Real estate 541300 Architectural, engineering, and related services 812900 Other personal services (3) (1) (2) (4) (5) (6) 2.0346 0.5600 11.7739 1.1005 1.80511.9882 1.4670 0.2244 13.2613 1.0810 1.9496 1.2985 1.9921 0.5483 10.2148 1.2297 1.8728 2.5874 1.8509 0.3285 9.0272 1.09512.8866 2.7787 Region Definrtion Bergen. NJ; Essex, NJ; Hudson, NJ; Middlesex, NJ; Monmooth, NJ; Morris, NJ; Passaic. NJ; Union, NJ 'Includes Government enterprises. 1 Each ently in column 1 represents the total dollar change in output that occurs mall industries fot each addrt1onal dollar of ou!put delivered to final dlitmand by the industry corresponding to the 'itntry. 2. Each entry in column 2 represents the total dollar change in earnings of households employed by all mdustries for each additional dollar of oulput defrvered to final demand by the industly corresponding to the ently. 3. Each entry in column 3 represents the total thange in number of jobs that occurs in all industries lor each addrtional 1 million dollars of oulput delivered to final demand by the industry corresponding to the entry. Because the employment multipliers are based on 2008 data, the output delivered to final demand should be in 2008 dollars. 4. Each entry in column 4 represents the total dollar change in value added that octurs 1n all industries for each additional dollar of output delivered to final demand by the mduslry corresponding to the entry. 5 Each entry in column 5 represents the total dollar change in earnings of households employed by all mdustries for each addational dollar of eam1ngs paid directly to households employed by the industly correspond in~ to the entry. 6. Each entry in column 6 represents the total change 10 number of jobs in a landustries. for each addiliol\Jl job in U1e industry corresponding to the entry. NOTE --Multipliers are based on the 2002 Benchmark Input-Output Table for the Nation and 2008 regioMI data. Industry Us! A identifies the tndustnes corresponding to the entnes. SOURCE-Regional Input-Output Modeling System (RIMS II), Regional Product Division, Bureau of Economic Analysis Table C shows the annual level of household income, and the output for utilities, maintenance and repair construction, manufacturing output, and professional and business support services for the construction and operation of the 88 Morgan Street apartment building. (b)(4) Table C. Summary Measures of Economic Impact for Construction and Rental income of 88 Morgan Street Apartment Building 164 6 Household Earnings (Labor Income) The jobs created by the project subsequently create new sources of household income. The household income created within the re ional center by the construction of the 88 Morgan Street apartment buildin is about with another I I from the purchases of FF&E and rom arc 1ectural and engineering services. Household income would a so nse a outl from the rental income (b)(4) of the apartments, for a total of abou1 I I The details used to calculate these figures are given throughout the report. Separate tables are provided for the total number of jobs created, the average earnings per new worker, and the total increase in earnings for construction and operation of the hotel. In each case, the RIMS II inpuVoutput model has been used to calculate the number of jobs in each major industrial classification, the average earnings per employee, and hence total earnings. The number of jobs by industrial classification is based on calculations imbedded in the RIMS II model for each of the activities as summarized in Table A and documented in detail throughout this report. Demand for Business Services, Utilities, Maintenance and Construction, and New SupplierNendor Relationships Created with Manufacturers (b)(4) The total economic impact of the regional center from the supplier purchases and business relationshi:s for the construction and operation of the hotel will create approximately in additional economic activity across the region for the project. These supP 1er purchases are calculated from the indirect increase in output generated by the RIMS II model. It should be noted that some of these supplier industries might potentially locate within the regional center, and their economic output is included in this total. I I The estimate of supplier purchases is based on the commodity data in the RIMS II input-output model. This data specifies the amount and type of commodity input needed to maintain specific types of business operations. The model estimates the supplier purchases based on the types of jobs and number of jobs that will be created within the regional center. In addition, the model allocates the supplier purchases to businesses within the region, based on trade flow data from the U.S. Bureau of Economic Analysis. Utilities include services such as electricity, natural gas, and water and sewer facilities. The economic impact on utility services total aboutl lrespectively. Most of this represents the use of utilities by occupants of the apartments. (b)(4) Maintenance and repair services include some building and construction activity on existing buildings. The regional center would create an economic impact of about I I These expenditures represent permanent, ongoing maintenance on the buildings after they are completed; they do not reflect the initial construction costs. 165 7 New supplir/yendgr re!afonships with manufacturers would create an economic impact of about _ . Most of this output represents purchases of locally produced materials and parts for the construction of the building; some of these expenditures are the purchase of locally produced supplies for the hotel. (b)(4) The regional center will also create demand for various types of business services, including professional and scientific services, management of companies, administrative services, and build~: and waste management services. The impact of this activity totals about Most of this represents payments to architects and engineers for the c :Sl ldll activities; it also includes outsourcing of professional service activities for operating the hotel, such as lawyers and accountants. ::ort I The figures given in Table C represent only a brief summary of the detailed calculations that have been undertaken and are reported in tabular format throughout the report. The figure for utility output, for example, represents the sum of utility output for each of the categories of economic activity listed in Table A. For repair and maintenance construction office, this figure represents the amount spent times he input/output coefficient showing the total amount of output perl k:>f construction expenditures. The same methodology applies to all the other figures given in Table C. Detailed figures may be found in the tables in Sections (8) and (9), which provide estimates of indirect jobs by industry category. 166 8 3. Introduction and Scope of Work The U.S. Immigration Fund, LLC plans to open a new EB-5 regional center in northern New Jersey. The first project will be a luxury apartment building located at 88 Morgan Street in Jersey City, NJ. The building will have 417 apartment units, 214 parking spaces, and about 4,000 square feet of retail space. This report contains the economic impact results for the construction of the building and apartment rentals, based on the RIMS II input/output model for the following 8 counties in New Jersey: Hudson, Essex, Union, Bergan, Passaic, Morris, Monmouth, and Middlesex. Section (4) contains a brief description of the RIMS II models and its various multipliers, and Section (5) contains additional information explaining how the indirect jobs are calculated. Section (6) contains and analyzes the key statistics for the sixcounty area used to calculate the RIMS II multipliers. Tables 6-1, 6-2, 6-3 and 6-4 show the data for employment by major occupation and industrial classification, income distribution by deciles, mean and median household and family income, and poverty rates for the eight counties used to calculate the multipliers for this study, and compares these figures to the U.S. totals or averages. Table 6-5 shows key labor market statistics over the past decade for the State of New Jersey, each of these counties, and the 8-county total. Tables 6-6 and 6-7 show the level and growth rate of population and personal income for these same areas. Table 6-8 shows the commuting patterns for Hudson County, and explains how these figures are used to determine the counties included in the multiplier analysis. Section (7) contains a map of the location of the building and maps of the area. Section (8) presents the economic impact tables for the hard construction costs, EB-5 eligible soft construction costs, and purchases of FF&E. Separate sets of tables are presented for each category of construction for the increase in employment, output, and earnings, and the average level of output and earnings per new worker, for the 20 major industrial classifications in the RIMS II input/output model. Section (9) discusses the number of jobs and revenue estimates for the rental income from the apartments, retail space, and parking, and presents similar tables for the detailed industry results. Section (10) summarizes the RIMS II model results. 167 9 4. Brief Guide to RIMS II Input/Output Model The following material has been condensed from the RIMS II User Handbook. Introduction and General Comments Effective planning for public- and private-sector projects and programs at the State and local levels requires a systematic analysis of the economic impacts of these projects and programs on affected regions. In turn, systematic analysis of economic impacts must account for the inter-industry relationships within regions because these relationships largely determine how regional economies are likely to respond to project and program changes. Thus, regional input-output (1-0) multipliers, which account for inter-industry relationships within regions, are useful tools for conducting regional economic impact analysis. In the 1970s, the Bureau of Economic Analysis (BEA) developed a method for estimating regional 1-0 multipliers known as RIMS (Regional Industrial Multiplier System), which was based on the work of Garnick and Drake. In the 1980s, BEA completed an enhancement of RIMS, known as RIMS II (Regional Input-Output Modeling System), and published a handbook for RIMS II users. In 1992, BEA published a second edition of the handbook in which the multipliers were based on more recent data and improved methodology. In 1997, BEA published a third edition of the handbook that provides more detail on the use of the multipliers and the data sources and methods for estimating them. RIMS II is based on an accounting framework called an 1-0 table. For each industry, an 1-0 table shows the industrial distribution of inputs purchased and outputs sold. A typical 1-0 table in RIMS II is derived mainly from two data sources: SEA's national 1-0 table, which shows the input and output structure of nearly 500 U.S. industries, and SEA's regional economic accounts, which are used to adjust the national 1-0 table to show a region's industrial structure and trading patterns. Using RIMS II for impact analysis has several advantages. RIMS II multipliers can be estimated for any region composed of one or more counties and for any industry, or group of industries, in the national 1-0 table. The accessibility of the main data sources for RIMS II keeps the cost of estimating regional multipliers relatively low. Empirical tests show that estimates based on relatively expensive surveys and RIMS 11based estimates are similar in magnitude. SEA's RIMS multipliers can be a cost-effective way for analysts to estimate the economic impacts of changes in a regional economy. However, it is important to keep in mind that, like all economic impact models, RIMS provides approximate order-ofmagnitude estimates of impacts. RIMS multipliers are best suited for estimating the impacts of small changes on a regional economy. For some applications, users may want to supplement RIMS estimates with information they gather from the region undergoing the potential change. To use the multipliers for impact analysis effectively, 168 10 users must provide geographically and industrially detailed information on the initial changes in output, earnings, or employment that are associated with the project or program under study. The multipliers can then be used to estimate the total impact of the project or program on regional output, earnings, and employment. RIMS II is widely used in both the public and private sector. In the public sector, for example, the Department of Defense uses RIMS II to estimate the regional impacts of military base closings. State transportation departments use RIMS II to estimate the regional impacts of airport construction and expansion. In the private-sector, analysts and consultants use RIMS II to estimate the regional impacts of a variety of projects, such as the development of shopping malls and sports stadiums. RIMS II Methodology RIMS II uses SEA's benchmark and annual 1-0 tables for the nation. Since a particular region may not contain all the industries found at the national level, some direct input requirements cannot be supplied by that region's industries. Input requirements that are not produced in a study region are identified using SEA's regional economic accounts. The RIMS II method for estimating regional 1-0 multipliers can be viewed as a three-step process. In the first step, the producer portion of the national 1-0 table is made region-specific by using six-digit NAICS location quotients (LQs). The LQs estimate the extent to which input requirements are supplied by firms within the region. RIMS II uses LQs based on two types of data: SEA's personal income data (by place of residence) are used to calculate LQs in the service industries; and SEA's wage-andsalary data (by place of work) are used to calculate LQs in the non-service industries. In the second step, the household row and the household column from the national 1-0 table are made region-specific. The household row coefficients, which are derived from the value-added row of the national 1-0 table, are adjusted to reflect regional earnings leakages resulting from individuals working in the region but residing outside the region. The household column coefficients, which are based on the personal consumption expenditure column of the national 1-0 table, are adjusted to account for regional consumption leakages stemming from personal taxes and savings. In the last step, the Leontief inversion approach is used to estimate multipliers. This inversion approach produces output, earnings, and employment multipliers, which can be used to trace the impacts of changes in final demand on and indirectly affected industries. Advantages of RIMS II There are numerous advantages to using RIMS II. First, the accessibility of the main data sources makes it possible to estimate regional multipliers without conducting relatively expensive surveys. Second, the level of industrial detail used in RIMS II helps avoid aggregation errors, which often occur when industries are combined. Third, RIMS II multipliers can be compared across areas because they are based on a consistent set 169 11 of estimating procedures nationwide. Fourth, RIMS II multipliers are updated to reflect the most recent local-area wage-and-salary and personal income data. Overview of Different Multipliers RIMS II provides users with five types of multipliers: final demand multipliers for output, for earnings, and for employment; and direct-effect multipliers for earnings and for employment. These multipliers measure the economic impact of a change in final demand, in earnings, or in employment on a region's economy. The final demand multipliers for output are the basic multipliers from which all other RIMS II multipliers are derived. In this table, each column entry indicates the change in output in each row industry that results from a $1 change in final demand in the column industry. The impact on each row industry is calculated by multiplying the final demand change in the column industry by the multiplier for each row. The total impact on regional output is calculated by multiplying the final demand change in the column industry by the sum of all the multipliers for each row except the household row. RIMS II provides two types of multipliers for estimating the impacts of changes on earnings: final demand multipliers and direct effect multipliers. These multipliers are derived from the table of final demand output multipliers. The final demand multipliers for earnings can be used if data on final demand changes are available. In the final demand earnings multiplier table, each column entry indicates the change in earnings in each row industry that results from a $1 change in final demand in the column industry. The impact on each row industry is calculated by multiplying the final demand change in the column industry by the multipliers for each row. The total impact on regional earnings is calculated by multiplying the final demand change in the column industry by the sum of the multipliers for each row. Employment Multipliers RIMS II provides two types of multipliers for estimating the impacts of changes on employment: final demand multipliers and direct effect multipliers. These multipliers are derived from the table of final demand output multipliers. (b)(4) The final demand multipliers for employment can be used if the data on final demand changes are available. In the final demand employment multiplier table, each c['umn entJ indicates the change in employment in each row industry that results from a change in final demand in the column industry. The impact on each row industry 1s calculated by multiplying the final demand change in the column industry by the multiplier for each row. The total impact on regional employment is calculated by multiplying the final demand change in the column industry by the sum of the multipliers for each row. 170 12 The direct effect multipliers for employment can be used if the data on the initial changes in employment by industry are available. In the direct effect employment multiplier table, each entry indicates the total change in employment in the region that results from a change of one job in the row industry. The total impact on regional employment is calculated by multiplying the initial change in employment in the row industry by the multiplier for the row. Choosing a Multiplier The choice of multiplier for estimating the impact of a project on output, earnings, and employment depends on the availability of estimates of the initial changes in final demand, earnings, and employment. If the estimates of the initial changes in all three measures are available, the RIMS II user can select any of the RIMS II multipliers. In theory, all the impact estimates should be consistent. If the available estimates are limited to initial changes in final demand, the user can select a final demand multiplier for impact estimation. If the available estimates are limited to initial changes in earnings or employment, the user can select a direct effect multiplier. 5. Methodology for Calculating Indirect Job Gains In spite of the explanation of the RIMS II model given directly above, some USC IS adjudicators have asked for further clarification about how that model is used to determine the increase in the number of indirect jobs. That is an important issue because, unlike the direct job count, which can be verified by USCIS from various payroll and withholding documents, the calculation of indirect jobs cannot be verified directly but depends on mathematical calculations. The general concept is based on the coefficients in the input/output model itself (the same methodology applies to RIMS II, IMPLAN, or any other generally recognized and accepted input/output model). In any given year, the government calculates how much input is used for a given production of output. The detailed figures are taken from the Economic Censuses taken once every five years; the figures are then updated from various annual supplements. Basically the process has two steps, each of which is described next in greater detail. The first is to determine the amount of output, and hence the number of jobs, required to produce a given amount (say $1 million) of the final product or service. These are national coefficients. The second is to determine what proportion of those goods and services are purchased within the local region (the regional purchase coefficients, or RPCs). In the case of a manufacturing process, the national coefficients are based on production functions: how much coke per ton of steel, how much steel per motor vehicle, how much flour for a loaf of bread, and so on. However, most of the jobs are 171 13 created in the service sector, where Commerce Department data are used to determine, for example, how much restaurants spend on laundry services, how much airlines spend for attorneys, and so on. These figures are based on information contained in the various Economic Censuses. The national coefficients would also determine, for example, how many architects and engineers would be hired for a construction project of a given scope and size, and how many new employees at financial institutions would be required to handle the additional cash flow generated by the new business. Both of these are discussed below in greater detail. Even after these coefficients are determined, however, the regional purchase coefficients (RPC) must still be estimated. If, for example, a trucking firm spends 1% of its revenue on accountants, how much of that money is spent on local firms, and how much is spent outside the region? (b)(4) That answer depends on various factors. The most important is the amount of the good or service produced within the region. If a trucking firm, for example, were located in a small county with no accountants, obviously it would not spend any of that money locally. That sets a lower limit but is not generally the case. Instead, a balancing algorithm is used. Suppose, for example, that all the firms producing, distributing, or selling goods and services in a given county spentl lon accountini seodces Also, suppose that total billings of all accountants in the county were In that case, local accountants could handle all the local business, plus business from nei hborin counties. If, on the other hand, total accountant billings in the county were onl local firms could not spend more than half of the money on local I Of course it is possible that there are adequate resources in the county but local firms choose to use companies outside the county; perhaps prices or service is better. No input/output model can account for such anomalies. On the other hand, given transportation costs, it would be highly unusual for a firm to be located in a given location and not serve the nearby businesses, instead choosing only those clients who were farther away. The RIMS II model - and other regional input/output models - assigns regional purc_hase coefficients. (RPCs) in. all ca~es where the local industrx owc:a:es :~o:~~~: serv1ces from local f1rms. Th1s matnx could have as many a1 _ ~- -------elements, although in practice many of them are zero. Large~c~o~u~n'r.'!1e~w"""1~""""'""""'--' variety of businesses have more non-zero elements than small counties with relatively few businesses. In general, the RPCs tend to be close to zero for most manufactured goods, and close to unity for most services. While there are many exceptions to this rule, most firms will use financial, professional, business, and health care services that are located in that county or contiguous areas. 172 14 (b)(4) To take just one example of many, consider the number of new jobs created by architects and engineers for a new construction project of any given size. Most construction cost manu~as those published by R. S. Means, indicate that those costs are usually about f the total job. According to the national input/output file, the figures are or commercial construction and for industrial construction. D These figures can be compared with the proportions of architects and engineers in the specific regional area, based on the RIMS II data that are used to determine the economic multipliers in the specific co~group. For this d-countJ group, the input/output model shows proportions of L...J for commercial an for industrial construction, indicating that c:::J of the architects and engineers for commercial jobs and Oar industrial jobs are hired locally. These figures are fairly typical of other locations and regions; except for "signature" buildings designed by famous names, most architects and engineers live in the same region as the buildings that are being constructed. To summarize to this point, the number of indirect jobs as a proportion of direct jobs depends on (a) the national relationships, and (b) the regional purchase coefficients. In our presentation for the businesses in this report, we provide further discussion of those industries with the largest number of indirect jobs. However, there are a few industries that produce relatively large numbers of jobs in almost all cases, and these can be generally discussed at this stage in order to avoid repeating this information several times. The industries discussed here include banking, real estate, legal and accounting, architects and engineers, other professional services, employment services, other business services, restaurants, and government. In all of these cases, the vast majority of workers are hired locally. Our comments for the rest of this section are based on the assumption of a investment; the results are linear. I I Banking and credit: On an aggregate basis, for everyl I in deposits, very broadly defined (M3}, there is about 1 new banking employee. As a rough rule of thumb, the size of M3 is roughly equal to the size of GOP. Hence we would expect abouQew banking employee for everyl lincrease in output, as calculated from the RIMS II model. (b)(4) Real estate: Additional real estate employees are based on two factors. One is the leasing activity of the new building, and the other is the increase in residential real estate activity as people get new jobs, either within the area or by moving into the area. On a lease basis, a ~investment is likely to result in a building of 80,000 square feet. If it lease~ quare foot, that would be I Iin annual lease payments, and with a ission would generatel In revenues, which would account for abou ew real estate employees (the figure would be less for industrial buildings). The increase in employment would also result in some real estate activity as workers moved into better housing in the same location, or moved in from other areas. In a normal year, there are about sales of new and existing homes for a lab~f about Hence if the total increase in employment werL_Jat would imply real estate transactions; if they average 173 (b)(4) 15 I Icommission, that would b~ ber home or a total otl which would support approximately 1 new real estate job. .....__ _...... Legal & Accounting: Each of these accounts for aboutc::::::t:>f total employment; so if there were a total increase lobs, we would expect an average of Qw employees in this classification. ot Architects & Engineers: almost all of these jobs stem from the new construction activity. This category has already been discussed above; for fl (;onstruction project, which would create aboutr-lew construction jobs, we would expect aboutD new jobs in architects and engineersro1 a commercial project and' *ew jobs for an industrial project. Other professional services: This category includes employees in consulting, scientific research and development, advertising, and management, as well as several other smaller, specialized categories. In general, consulting, management, and the all other category each accou~ about of total employment, and R&D and advertising account for abouL.J:>f total employment, for a total of about O f total employment. This figure will vary widely depending on the degree to which consultants and R&D are used by the new business. D Employment services: On a national average basis, 1 out of every 45 people is employed by this industry. Here again, the figures will vary widely depending on (a) the proportion of people who are hired through employment agencies, and (b) the proportion of the work that is outsourced to employment services. Business support services include office management, travel arrangement, security, credit bureaus, telemarketing, and back-office jobs that are outsourced, such as direct mail, copying, and duplicating services. The back-office services would vary widely depending on the type of new business; retail stores, for example, would print and distribute more advertising brochures than ~nufacturing operation. On a national average basis, these jobs account for aboutLJof total employment. Building support services, which includes janitorial services, lawn maintenance, and waste m~ment. For an office building of 80,000 sguare feet, the cost would be approximate q ft per year for maintenance, or I I which would support about[}ew JO s; ere again, the figure would be lower for industrial buildings. Restaurants: This category reflects business meals. Of course the number of business meals depends greatly on the type of business; lawyers, accountants, and consultants will have more business meals than manufacturing plants or water treatment facilities. On a national average basis, Commerce Department figures show that total restaurant sales in 2007 were I I while consumer expenditures at restaurants werel ] However, that figure also includes tips, which are not included in restaurant sales. After subtracting c::Jor tips, that indicates about,..,- - -.. I In food and beverage purchases by consumers, indicatin abou1 for business expenses. With a labor force of ~oximatel hat is eqUivafent to aboutl lper employee. Hence ifL.Jlew jobs were crea ea, business meal I (b)(4) 174 (b)(4) 16 expenses would rise an average of I INhich would imply aboutc:::::Jlew indirect jobs in the restaurant industry. These figures are likely to be somewhat higher when direct jobs are created for office buildings and hotels. Government: The increase in public sector employees represents the amount funded by increased real estate taxes. For a construction project with $10 million in hard costs, the total value is likely to be betwee~ tNhen one includes furniture, fixtures, equipment, and land values. Using a national average property tax rate of c::::lhat would raise I tNhich would create I new jobs in the public sector. 175 17 6. Economic Parameters for Hudson, Essex, Union, Bergen, Passaic, Morris, Middlesex, and Monmouth Counties This section is organized as follows. Tables 6-1, 6-2, 6-3 and 6-4 show the data for employment by major occupation and industrial classification, income distribution by deciles, mean and median household and family income, and poverty rates for the eight counties used to calculate the multipliers for this study, and compares these figures to the U.S. totals or averages. Table 6-5 shows key labor market statistics over the past decade for the State of New Jersey, each of these counties, and the 8-county total. Tables 6-6 and 6-7 show the level and growth rate of population and personal income for these same areas. Table 6-8 shows the commuting patterns for Hudson County, and explains how these figures are used to determine the counties included in the multiplier analysis. Table 6-1. Key Economic Statistics for Hudson and Counties Compared to the U. S. Economy, 201 0 Data -" % u.s. % 520,559 359,487 359,408 312,480 46,928 79 161,072 100.0% 69.1% 69.0% 60.0% 9.0% 0.0% 30.9% 2010 243,832,923 156,966,769 155,917,013 139,033,928 16,883,085 1,049,756 86,866,154 100.0% 64.4% 63.9% 57.0% 6.9% 0.4% 35.6% 100.0% 37.3% 20.4% 24.2% 7.2% 10.9% 312,480 118,514 54,500 75,993 22,231 41,242 100.0% 37.9% 17.4% 24.3% 7.1% 13.2% 139,033,928 49,975,620 25,059,153 34,711,455 12,697,304 16,590,396 100.0% 35.9% 18.0% 25.0% 9.1% 11.9% 100.0% 0.2% 5.6% 6.1% 2.4% 9.6% 7.1% 3.5% 9.2% 12.8% 26.0% 7.5% 312,480 88 17,452 25,036 12,919 31,641 24,887 10,909 34,463 42,737 60,295 23,187 100.0% 0.0% 5.6% 8.0% 4.1% 10.1% 8.0% 3.5% 11.0% 13.7% 19.3% 7.4% 139,033,928 2,646,975 8,686,813 14,439,691 3,941,066 16,203,408 6,843,579 3,015,521 9,275,465 14,710,089 32,311,107 12,859,572 100.0% 1.9% 6.2% 10.4% 2.8% 11.7% 4.9% 2.2% 6.7% 10.6% 23.2% 9.2% Category EMPLOYMENT STATUS Population 16 years and over In labor force Civilian labor force Employed Unemployed Armed Forces Not in labor force 612,565 400,770 400,523 344,146 56,377 247 211,795 100.0% 65.4% 65.4% 56.2% 9.2% 0.0% 34.6% OCCUPATION Civilian employed population 16+ Management & professional Service occupations Sales and office occupations Construction, maintenance, repair Production & transportation 344,146 128,336 70,110 83,284 24,850 37,566 INDUSTRY Civilian employed population 16+ Agriculture & mining Construction Manufacturing Wholesale trade Retail trade Transportation & utilities Information Finance, insurance, & real estate Professional & administrative Educational services & health care Arts, entertain, hotel, food svcs 344,146 839 19,412 21,063 8,192 33,180 24,477 11,875 31,756 44,064 89,318 25,779 Essex % Hudson 176 18 Other private services Public administration 17,380 16,811 5.1% 4.9% INCOME AND BENEFITS Total households Less than $10,000 $10,000 to $14,999 $15,000 to $24,999 $25,000 to $34,999 $35,000 to $49,999 $50,000 to $74,999 $75,000 to $99,999 $100,000 to $149,999 $150,000 to $199,999 $200,000 or more Median household income (dollars) Mean household income (dollars) 275,417 28,243 16,478 28,288 25,719 32,635 44,176 31,262 32,280 14,778 21,558 52,394 80,167 100.0% 10.3% 6.0% 10.3% 9.3% 11.8% 16.0% 11.4% 11.7% 5.4% 7.8% 104.7% Families Less than $10,000 $10,000 to $14,999 $15,000 to $24,999 $25,000 to $34,999 $35,000 to $49,999 $50,000 to $74,999 $75,000 to $99,999 $100,000 to $149,999 $150,000 to $199,999 $200,000 or more Median family income (dollars) Mean family income (dollars) Per capita income (dollars) 16,461 12,405 5.3% 4.0% 6,913,449 7,187,193 5.0% 5.2% 114,567,419 8,757,190 6,668,865 13,165,380 12,323,322 16,312,385 20,940,859 13,526,500 13,544,839 4,809,998 4,518,081 50,046 68,259 100.0% 7.6% 5.8% 11.5% 10.8% 14.2% 18.3% 11.8% 11.8% 4.2% 3.9% .117.4% 238,692 100.0% 19,411 8.1% 14,462 6.1% 24,152 10.1% 20,533 8.6% 29,768 12.5% 18.8% 44,776 26,814 11.2% 31,304 13.1% 4.9% 11,757 15,715 6.6% 54,817 109.5% 76,339 111.8% 175,731 12,211 6,627 15,282 15,561 19,250 26,811 21,661 25,935 13,439 18,954 66,439 97,237 29,674 100.0% 6.9% 3.8% 8.7% 8.9% 11.0% 15.3% 12.3% 14.8% 7.6% 10.8% 109.6% 122.6% 113.9% 147,709 8,382 7,409 14,311 12,795 20,209 27,360 16,708 21,969 8,032 10,534 57,978 81,559 29,798 100.0% 5.7% 5.0% 9.7% 8.7% 13.7% 18.5% 11.3% 14.9% 5.4% 7.1% 95.7% 102.8% 114.3% 76,089,045 3,824,251 2,660,781 6,770,812 7,332,318 10,578,051 14,990,631 10,638,931 11,261,766 4,130,868 3,900,636 60,609 79,338 26,059 100.0% 5.0% 3.5% 8.9% 9.6% 13.9% 19.7% 14.0% 14.8% 5.4% 5.1% Median earnings for workers Median earnings for male full-time Median earnings for female full-time 32,961 49,597 41,317 114.1% 106.7% 113.0% 35,677 50,563 41,173 123.5% 108.7% 112.6% 28,899 46,500 36,551 PERCENTAGE BELOW POVERTY LEVEL All families All people 13.9% 16.7% 123.0% 109.2(% 13.7% 16.5% !21.2% 107.8% 11.3% 15.3% Please note that in these tables, the percentage figures in regular type refer to the overall category in that column, while the figures in red are relative to the U.S. average figures The income distributions in Essex and Hudson Counties can best be described as "fat-tailed", with greater than average percentages in the highest and lowest income brackets. To elaborate, 11% of families in each of the two counties earn less than $15,000 a year, compared to 8% nationally - while 11% of Essex families and 7% of Hudson families earn $200,000 or more, compared to 5% for the U.S. This dichotomy can also be seen in the high mean household incomes ($80K in Essex and $76K in 177 19 Hudson, versus $68K for the U.S.) and large share of families living in poverty (14% in each county, versus 11% for the nation). Turning to the occupation data, both counties have lower than average shares in manufacturing as well as the arts, entertainment, hotel, and food service industries and higher than average shares in transportation and finance. The counties differ in the mix of workers in the education and health care industries, as Essex (26%) has a higher proportion than average and Hudson has a lower proportion at 19% - the smallest of the five counties. Table 6-2. Key Economic Statistics for Union and Bergen Counties Compared to the U. S. Economy Category Union % Bergen % EMPLOYMENT STATUS u.s. % 2010 420,828 100.0% 727,196 100.0% 243,832,923 100.0% 291,604 69.3% 478,944 65.9% 156,966,769 64.4% 291,560 69.3% 478,892 65.9% 155,917,013 63.9% 255,497 60.7% 438,302 60.3% 139,033,928 57.0% Unemployed 36,063 8.6% 40,590 5.6% 16,883,085 6.9% Armed Forces 44 0.0% 52 0.0% 1,049,756 0.4% 129,224 30.7% 248,252 34.1% 86,866,154 35.6% 255,497 100.0% 438,302 100.0% 139,033,928 100.0% Management & professional 90,913 35.6% 201,513 46.0% 49,975,620 35.9% Service occupations 43,165 16.9% 55,159 12.6% 25,059,153 18.0% 24.4% 114,453 26.1% 34,711,455 25.0% 8.7% 28,908 6.6% 12,697,304 9.1% 36,863 14.4% 38,269 8.7% 16,590,396 11.9% 255,497 100.0% 438,302 100.0% 139,033,928 100.0% 177 0.1% 919 0.2% 2,646,975 1.9% Construction 17,557 6.9% 24,897 5.7% 8,686,813 6.2% Manufacturing 24,870 9.7% 40,015 9.1% 14,439,691 10.4% Wholesale trade 10,869 4.3% 19,216 4.4% 3,941,066 2.8% Retail trade 25,990 10.2% 47,458 10.8% 16,203,408 11.7% Transportation & utilities 18,211 7.1% 22,703 5.2% 6,843,579 4.9% 7,394 2.9% 16,169 3.7% 3,015,521 2.2% Population 16 years and over In labor force Civilian labor force Employed Not in labor force OCCUPATION Civilian employed population 16+ Sales and office occupations Construction, maintenance, repair Production & transportation 62,273 22,283 INDUSTRY Civilian employed population 16+ Agriculture & mining Information 178 20 Finance, insurance, & real estate Professional & administrative 21,793 29,021 8.5% 45,159 10.3% 9,275,465 6.7% 11.4% 58,730 13.4% 14,710,089 10.6% 22.6% 32,311)07 23.2% Educational services & health care 53,596 21.0% 99,084 Arts, entertain, hotel, food svcs 19,342 7.6% 28,699 6.5% 12,859,572 9.2% Other private services 13,531 5.3% 20,540 4.7% 6,913,449 5.0% Public administration 13,146 5.1% 14,713 3.4% 7)87,193 5.2% Total households 183,882 100.0% 333,002 100.0% 114,567,419 100.0% Less than $10,000 10,740 5.8% 15,136 4.5% 8,757,190 7.6% $10,000 to $14,999 6,138 3.3% 12,370 3.7% 6,668,865 5.8% $15,000 to $24,999 15,300 8.3% 24,587 7.4% 13)65,380 11.5% $25,000 to $34,999 14,321 7.8% 23,753 7.1% 12,323,322 10.8% $35,000 to $49,999 23,549 12.8% 33,430 10.0% 16,312,385 14.2% $50,000 to $74,999 31,943 17.4% 53,157 16.0% 20,940,859 18.3% $75,000 to $99,999 21,678 11.8% 40,999 12.3% 13,526,500 11.8% $100,000 to $149,999 31,378 17.1% 56,634 17.0% 13,544,839 11.8% $150,000 to $199,999 11,796 6.4% 34,456 10.3% 4,809,998 4.2% $200,000 or more 17m9 9.3% 38,480 11.6% 4,518,081 3.9% Median household income (dollars) 66,665 133.2% 77,389 154.6% 50,046 Mean household income (dollars) 94,659 138.7% 105,488 154.5% 68,259 131,811 100.0% 236,574 100.0% 76,089,045 100.0% Less than $10,000 6,001 4.6% 6,237 2.6% 3,824,251 5.0% $10,000 to $14,999 2,973 2.3% 4,959 2.1% 2,660,781 3.5% $15,000 to $24,999 8,903 6.8% 11,365 4.8% 6,770,812 8.9% $25,000 to $34,999 8,224 6.2% 12,914 5.5% 7,332,318 9.6% $35,000 to $49,999 15,365 11.7% 19,255 8.1% 10,578,051 13.9% 17.6% 36,079 15.3% 14,990,631 19.7% 12.0% 29,860 12.6% 10,638,931 14.0% 19.4% 49,242 20.8% 11,261,766 14.8% 13.4% INCOME AND BENEFITS Families $50,000 to $74,999 $75,000 to $99,999 $100,000 to $149,999 23,157 15,838 25,630 $150,000 to $199,999 10,400 7.9% 31,650 4,130,868 5.4% $200,000 or more 15,320 11.6% 35,013 14.8% 3,900,636 5.1% Median family income (dollars) 77,361 127.6% 97,394 160.7% 60,609 107,812 135.9% 123,384 155.5% 79,338 Per capita income (dollars) 33,267 127.7% 39,409 151.2% 26,059 Median earnings for workers 35)14 12t9S".i 44,350 153.5% 28,899 Median earnings for male full-time 5U95 llOJ.% 63,074 135.6% 46,500 Median earnings for female full-time 43,496 119.0% 51,103 139.8% 36,551 Mean family income (dollars) 179 21 PERCENTAGE BELOW POVERTY LEVEL All families 8.70% rrory,, 5.6% 49.6% 11.30% All people 11.10% 72.5% 6.8% 44.4% 15.30% Union County is mixed, with many high-income suburban areas but also lowincome areas by the railroad tracks. As a result it has a high proportion of households and families at the upper end of the income scale, but almost a proportional amount at the lower end of the scale. As a result, while the median and mean income levels are above average and the poverty levels are below average, these figures are smaller than would be expected from a typical suburban county, and well below Bergen County. By comparison, Bergen County has about three times the national average in the top income bracket, and only about half in the bottom bracket. As a result, median family income for Union County is 128% of the national average, while the figure for Bergen County is 161% of the average. Similarly, the poverty rate for all families is 77% of the national average for Union County, but only 50% for Bergen County. In terms of employment distribution by occupation, both counties have a fairly robust manufacturing base, only slightly below the national average. Most of the other sectors are also close to those averages, with slightly higher proportions for financial and professional services. Table 6-3. Key Economic Statistics for Morris and Passaic Counties Compared to the U.S. Economy u.s. Morris % Passaic % 389,318 100.0% 392,154 100.0% 243,832,923 100.0% 265,835 68.3% 251,834 64.2% 156,966,769 64.4% 265,835 68.3% 251,834 64.2% 155,917,013 63.9% 242,762 62.4% 223,928 57.1% 139,033,928 57.0% Unemployed 23,073 5.9% 27,906 7.1% 16,883,085 6.9% Armed Forces 0 0.0% 0 0.0% 1,049,756 0.4% 123,483 31.7% 140,320 35.8% 86,866,154 35.6% 242,762 100.0% 223,928 100.0% 139,033,928 100.0% 117,011 48.2% 72,732 32.5% 49,975,620 35.9% Service occupations 31,488 13.0% 41,066 18.3% 25,059,153 18.0% Sales and office occupations 61,530 25.3% 55,173 24.6% 34,711,455 25.0% Construction, maintenance, repair 13,971 5.8% 15,773 7.0% 12,697,304 9.1% Production & transportation 18,762 7.7% 39,184 17.5% 16,590,396 11.9% Category EMPLOYMENT STATUS Population 16 years and over In laborforce Civilian labor force Employed Not in labor force % 2010 OCCUPATION Civilian employed population 16+ Management & professional 180 22 INDUSTRY 242,762 100.0% 223,928 100.0% 139,033,928 100.0% 605 0.2% 106 0.0% 2,646,975 1.9% Construction 13,025 5.4% 12,406 5.5% 8,686,813 6.2% Manufacturing 29,462 12.1% 30,737 13.7% 14,439,691 10.4% Wholesale trade 8,531 3.5% 9,361 4.2% 3,941,066 2.8% Retail trade 24,489 10.1% 27,233 12.2% 16,203,408 11.7% Transportation & utilities 11,615 4.8% 10,168 4.5% 6,843,579 4.9% Information 10,352 4.3% 5,816 2.6% 3,015,521 2.2% Finance, insurance, & real estate 26,164 10.8% 17,055 7.6% 9,275,465 6.7% Professional & administrative 33,295 13.7% 25,463 11.4% 14,710,089 10.6% Educational services & health care 55,177 22.7% 50,431 22.5% 32,311,107 23.2% Arts, entertain, hotel, food svcs 12,728 5.2% 16,915 7.6% 12,859,572 9.2% Other private services 8,589 3.5% 11,461 5.1% 6,913,449 5.0% Public administration 8,730 3.6% 6,776 3.0% 7,187,193 5.2% Total households 177,786 100.0% 161,527 100.0% 114,567,419 100.0% Less than $10,000 5,141 2.9% 14,538 9.0% 8,757,190 7.6% $10,000 to $14,999 3,562 2.0% 7,604 4.7% 6,668,865 5.8% $15,000 to $24,999 10,598 6.0% 17,286 10.7% 13,165,380 11.5% $25,000 to $34,999 10,446 5.9% 17,003 10.5% 12,323,322 10.8% $35,000 to $49,999 15,265 8.6% 19,142 11.9% 16,312,385 14.2% $50,000 to $74,999 27,277 15.3% 26,057 16.1% 20,940,859 18.3% $75,000 to $99,999 25,266 14.2% 17,637 10.9% 13,526,500 11.8% $100,000 to $149,999 33,587 18.9% 24,127 14.9% 13,544,839 11.8% $150,000 to $199,999 20,542 11.6% 10,658 6.6% 4,809,998 4.2% $200,000 or more 26,102 14.7% 7,475 4.6% 4,518,081 3.9% Median household income (dollars) 91,469 182.8% 53,993 107.9% 50,046 121,784 178.4% 73,618 107.9% 68,259 128,754 100.0% 113,041 100.0% 76,089,045 100.0% Less than $10,000 1,983 1.5% 7,061 6.2% 3,824,251 5.0% $10,000 to $14,999 1,149 0.9% 2,987 2.6% 2,660,781 3.5% $15,000 to $24,999 4,287 3.3% 10,418 9.2% 6,770,812 8.9% $25,000 to $34,999 5,257 4.1% 10,897 9.6% 7,332,318 9.6% $35,000 to $49,999 9,063 7.0% 11,966 10.6% 10,578,051 13.9% $50,000 to $74,999 18,910 14.7% 19,967 17.7% 14,990,631 19.7% $75,000 to $99,999 18,470 14.3% 13,043 11.5% 10,638,931 14.0% Civilian employed population 16+ Agriculture & mining -··-- INCOME AND BENEFITS Mean household income (dollars) Families -- -· 181 23 $100,000 to $149,999 27,700 21.5% 20,577 18.2% 11,261,766 14.8% $150,000 to $199,999 18,007 14.0% 9,254 8.2% 4,130,868 5.4% $200,000 or more 23,928 18.6% 6,871 6.1% 3,900,636 5.1% 107,639 ln6% 65,248 107.7% 60,609 141,174 1ns~;, 84,767 106.8% 79,338 44,393 t70.4% 25,244 96.9'!{, 26,059 Median family income (dollars) Mean family income (dollars) Per capita income (dollars) ···~-. Median earnings for workers 48,157 166.6% 30,444 105.3% 28,899 Median earnings for male full-time 77,163 165.9% 46,945 101.0% 46,500 Median earnings for female full-time 55,422 151.6% 37,130 101.6% 36,551 All families 3.7% 32. 7'Yz, 12.5% 110.6'% 11.30% All people 6.0% 39.2% 15.7% 102.6% 15.30% PERCENTAGE BELOW POVERTY LEVEL Morris County is a typical upscale suburban county; Passaic County is mixed, somewhat like Union County, with pockets of poverty as well as islands of affluence. In Morris County, median family income is 178% of the national average, similar to but even higher than Bergen County, while Passaic is only 108% of the average, similar to but lower than Union County. The poverty levels reflect this difference in income; for all families, the rate is only 1/3 of the national average for Morris County, but 110% of that average for Passaic County. Both counties have a higher than average proportion of the workforce in manufacturing, at 12.1% for Morris County and 13.7% for Passaic County, compared to 10.4% nationally. Both counties also have a higher than average proportion of workers in financial and professional services, although the increment is much smaller for Passaic County. Offsetting these bulges, both counties have a much smaller than average proportion of workers in arts, entertainment, leisure, hotels, and restaurants. Table 6-4. Economic Profile of Middlesex and Monmouth Counties and Comparison with the U.S., 2010 Data Category EMPLOYMENT STATUS Population 16 years and over In labor force Civilian labor force Employed Unemployed Armed Forces Not in labor force Middlesex 647,766 436,439 436,344 392,654 43,690 95 211,327 % Monmouth 100.0% 67.4% 67.4% 60.6% 6.7% 0.0% 32.6% 499,682 334,514 334,163 305,172 28,991 351 165,168 % u.s. % 100.0% 66.9% 66.9% 61.1% 5.8% 0.1% 33.1% 2010 243,832,923 156,966,769 155,917,013 139,033,928 16,883,085 1,049,756 86,866,154 100.0% 64.4% 63.9% 57.0% 6.9% 0.4% 35.6% OCCUPATION 182 24 Civilian employed population 16+ Management & professional Service occupations Sales and office occupations Construction, maintenance, repair Production & transportation 392,654 170,323 55,446 99,238 25,049 42,598 100.0% 43.4% 14.1% 25.3% 6.4% 10.8% 305,172 131,997 46,342 81,326 21,803 23,704 100.0% 43.3% 15.2% 26.6% 7.1% 7.8% 139,033,928 49,975,620 25,059,153 34,711,455 12,697,304 16,590,396 100.0% 35.9% 18.0% 25.0% 9.1% 11.9% INDUSTRY Civilian employed population 16+ Agriculture & mining Construction Manufacturing Wholesale trade Retail trade Transportation & utilities Information Finance, insurance, & real estate Professional & administrative Educational services & health care Arts, entertain, hotel, food svcs Other private services Public administration 392,654 628 18,052 39,615 17,826 43,951 26,800 12,486 36,177 52,832 83,080 29,705 15,450 16,052 100.0% 0.2% 4.6% 10.1% 4.5% 11.2% 6.8% 3.2% 9.2% 13.5% 21.2% 7.6% 3.9% 4.1% 305,172 1,043 16,060 20,781 10,399 33,644 14,981 13,058 33,142 39,280 70,468 24,158 11,999 16,159 100.0% 0.3% 5.3% 6.8% 3.4% 11.0% 4.9% 4.3% 10.9% 12.9% 23.1% 7.9% 3.9% 5.3% 139,033,928 2,646,975 8,686,813 14,439,691 3,941,066 16,203,408 6,843,579 3,015,521 9,275,465 14,710,089 32,311,107 12,859,572 6,913,449 7,187,193 100.0% 1.9% 6.2% 10.4% 2.8% 11.7% 4.9% 2.2% 6.7% 10.6% 23.2% 9.2% 5.0% 5.2% INCOME AND BENEFITS Total households Less than $10,000 $10,000 to $14,999 $15,000 to $24,999 $25,000 to $34,999 $35,000 to $49,999 $50,000 to $74,999 $75,000 to $99,999 $100,000 to $149,999 $150,000 to $199,999 $200,000 or more Median household income (dollars) Mean household income (dollars) 278,877 9,344 8,634 20,963 17,484 28,013 52,023 41,574 59,641 23,338 17,863 76,443 91,077 100.0% 3.4% 3.1% 7.5% 6.3% 10.0% 18.7% 14.9% 21.4% 8.4% 6.4% 152.7'% 100.0% 3.7% 3.4% 8.6% 7.2% 9.0% 14.7% 12.9% 18.5% 9.9% 12.1% 114,567,419 8,757,190 6,668,865 13,165,380 12,323,322 16,312,385 20,940,859 13,526,500 13,544,839 4,809,998 4,518,081 50,046 68,259 100.0% 7.6% 5.8% 11.5% 10.8% 14.2% 18.3% 11.8% 11.8% 4.2% 3.9% 133.4% 234,582 8,749 7,916 20,280 16,779 21,105 34,504 30,287 43,322 23,299 28,341 80,816 109,907 Families Less than $10,000 $10,000 to $14,999 $15,000 to $24,999 $25,000 to $34,999 $35,000 to $49,999 $50,000 to $74,999 $75,000 to $99,999 $100,000 to $149,999 $150,000 to $199,999 $200,000 or more Median family income (dollars) 203,542 3,425 3,594 10,298 10,039 18,530 36,692 32,490 51,013 21,178 16,283 88,678 100.0% 1.7% 1.8% 5.1% 4.9% 9.1% 18.0% 16.0% 25.1% 10.4% 8.0% 146.3'}(, 159,264 3,542 2,250 7,999 8,157 11,826 20,099 23,504 36,806 19,441 25,640 101,714 76,089,045 3,824,251 2,660,781 6,770,812 7,332,318 10,578,051 14,990,631 10,638,931 11,261,766 4,130,868 3,900,636 60,609 100.0% 5.0% 3.5% 8.9% 9.6% 13.9% 19.7% 14.0% 14.8% 5.4% 5.1% 161.5% 161.0% 100.0% 2.2% 1.4% 5.0% 5.1% 7.4% 12.6% 14.8% 23.1% 12.2% 16.1% 167.8% 183 25 Mean family income (dollars) Per capita income (dollars) 102,733 32,017 129.5% 122.9% 132,616 41,434 167.2% Median earnings for workers 40,270 139.3% 42,266 146.3% 28,899 Median earnings for male full-time Median earnings for female full-time 61,557 47,101 132.4% 128.9% 71,576 52,072 153.9% 142.5% 46,500 36,551 All families 5.1% 45.1% 5.0% 44.2% 11.3% All people 7.7% 50.3% 6.6% 43.1% 15.3% 15'L0% 79,338 26,059 PERCENTAGE BELOW POVERTY LEVEL Middlesex and Monmouth Counties are prototypical wealthy suburbs, with median household incomes more than 50% higher than the U.S. figures and poverty rates half of the national averages or less. Monmouth County has an especially high share of the wealthy, with 12% of households earning $200,000 or more compared to 4% for the U.S. Consistent with their high-income profiles, both counties have high percentages of white-collar workers - 43% in each county, compared to 36% nationally. Similar to the other counties in the region, Middlesex (9%) and Monmouth (11%) have high shares of workers in the finance and insurance industries - compared to 7% for the U.S. Unlike Middlesex County, Monmouth County has a lower than average proportion of its workforce in manufacturing, at 7%. Table 6-5. Labor Market Statistics for 8 Counties in Northern New Jersey, 20022011 Data Labor Force Employed Unemployed Un Rate,% New Jersey 2002 4,370,809 4,117,265 253,544 5.8 5.9 2003 4,363,896 4,108,397 255,499 2004 4,358,908 4,144,223 214,685 4.9 2005 2006 4,404,451 4,465,067 4,207,738 4,257,899 196,713 207,168 4.5 4.6 2007 4,456,306 4,264,617 191,689 4.3 2008 4,509,110 4,262,281 246,829 5.5 2009 4,546,443 4,138,364 408,079 9.0 2010 4,554,076 4,116,640 437,436 9.6 2011 4,556,186 4,131,832 424,354 9.3 Bergen 2002 466,326 442,760 23,566 5.1 2003 465,115 441,480 23,635 5.1 2004 462,702 443,247 19,455 4.2 184 26 2005 467,206 449,791 17,415 3.7 2006 473,275 455,022 18,253 3.9 2007 472,991 456,594 16,397 3.5 2008 478,584 457,046 21,538 4.5 2009 480,720 443,620 37,100 7.7 8.3 2010 476,243 436,522 39,721 2011 479,131 441,277 37,854 7.9 2002 371,383 344,532 26,851 7.2 2003 369,164 342,304 26,860 7.3 2004 363,454 340,905 22,549 6.2 5.6 Essex 2005 361,843 341,544 20,299 2006 364,175 343,012 21,163 5.8 2007 362,785 343,281 19,504 5.4 2008 366,007 341,853 24,154 6.6 2009 367,125 329,526 37,599 10.2 2010 370,372 329,355 41,017 11.1 2011 370,417 330,337 40,080 10.8 2002 296,200 273,503 22,697 7.7 2003 292,204 270,633 21,571 7.4 2004 287,381 269,725 17,656 6.1 2005 288,312 272,630 15,682 5.4 2006 290,204 274,266 15,938 5.5 2007 290,990 276,383 14,607 5.0 6.4 Hudson 2008 294,408 275,666 18,742 2009 299,839 268,570 31,269 10.4 2010 310,845 277,281 33,564 10.8 2011 312,467 280,302 32,165 10.3 2002 390,439 23,246 5.6 2003 Middlesex 413,685 411,128 388,372 22,756 5.5 2004 410,464 391,663 18,801 4.6 2005 2006 415,943 398,420 17,523 421,868 403,617 18,251 4.2 4.3 2007 421,754 405,387 16,367 3.9 2008 425,916 404,463 21,453 5.0 427,408 391,354 36,054 8.4 2010 436,381 398,449 37,932 8.7 2011 436,228 399,546 36,682 8.4 2009 185 27 308,550 17,176 5.3 2003 Monmouth 325,726 323,789 306,191 17,598 5.4 2004 322,012 307,448 14,564 4.5 2005 324,105 310,869 13,236 4.1 13,481 4.1 2002 2006 329,093 315,612 2007 332,191 319,687 12,504 3.8 2008 335,353 318,975 16,378 4.9 2009 336,577 308,793 27,784 8.3 2010 329,433 300,427 29,006 8.8 2011 329,571 301,254 28,317 8.6 2002 265,499 253,291 12,208 4.6 2003 266,068 253,862 12,206 4.6 2004 265,376 255,660 9,716 3.7 3.3 Morris 2005 267,813 259,088 8,725 2006 272,237 263,196 9,041 3.3 2007 272,580 264,282 8,298 3.0 2008 275,584 264,528 11,056 4.0 2009 275,118 255,839 19,279 7.0 2010 272,994 252,965 20,029 7.3 2011 272,849 253,719 19,130 7.0 2002 236,848 220,154 16,694 7.0 2003 236,729 219,363 17,366 7.3 6.2 Passaic 2004 233,946 219,516 14,430 2005 235,518 222,610 12,908 5.5 2006 2007 237,194 13,250 5.6 237,294 223,944 224,527 12,767 2008 240,836 224,443 16,393 5.4 6.8 2009 244,838 218,118 26,720 10.9 2010 244,764 216,367 28,397 11.6 2011 246,012 218,724 27,288 11.1 2002 269,672 252,547 17,125 6.4 2003 268,107 251,137 16,970 6.3 2004 265,034 250,970 14,064 5.3 2005 265,654 252,991 12,663 4.8 255,487 13,034 4.9 Union 2006 268,521 186 28 2007 2008 2009 2010 2011 267,960 271,553 273,728 275,137 275,886 255,865 255,902 248,504 248,502 249,244 12,095 15,651 25,224 26,635 26,642 4.5 5.8 9.2 9.7 9.7 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 8 counties 2,645,339 2,632,304 2,610,369 2,626,394 2,656,567 2,658,545 2,688,241 2,705,353 2,716,169 2,722,561 2,485,776 2,473,342 2,479,134 2,507,943 2,534,156 2,546,006 2,542,876 2,464,324 2,459,868 2,474,403 159,563 158,962 131,235 118,451 122,411 112,539 145,365 241,029 256,301 248,158 6.0 6.0 5.0 4.5 4.6 4.2 5.4 8.9 9.4 9.1 The unemployment rate for this part of New Jersey is very similar to the profile for the overall U. S., although the figures in 2010 and 2011 are marginally lower. By individual county, Hudson, Essex, Union, and Passaic counties have rates that are above the 8.9% level for 2011, while Bergen, Middlesex, Morris, and Monmouth are below average. According to BLS statistics as of December 1, 2012, there were almost 250,000 unemployed people in this 8-county region in 2011. Table 6~6. 2011 2010 2009 2008 2007 2006 2005 2004 2003 2002 2011/10 2010/09 2009/08 Level and Growth Rate of Population, State of New Jersey, 8 Counties in the Northern New Jersey, and the Total of these Counties (Table is divided into Sections A and B for easier viewing) New Jersey Bergen Essex Hudson Union 8,821,155 785,137 641,224 911,004 539,494 8,799,593 906,184 784,099 634,979 537,475 8,755,602 900,319 781,943 8,711,090 895,328 890,817 889,406 891,446 893,378 892,214 778,165 890,647 778,996 781,027 786,341 791,305 795,167 795,625 0.53% 0.65% 0.56% 0.13% 0.28% 0.49% 8,677,885 8,661,679 8,651,974 8,634,561 8,601,402 8,552,643 0.25% 0.50% 0.51% 628,572 Middlesex 814,217 810,747 532,434 805,204 619,533 527,528 613,637 799,191 792,137 614,813 615,554 524,960 525,153 526,161 526,916 527,611 527,625 781,582 775,973 769,280 0.98% 1.02% 1.46% 0.38% 0.95% 0.93% 0.43% 0.69% 0.75% 613,577 614,664 614,607 786,890 787,329 187 29 2008/07 2007/06 2006/05 2005/04 2004/03 2003/02 0.38% 0.19% 0.11% 0.20% 0.39% 0.57% 0.51% 0.16% -0.23% -0.22% 0.13% 0.18% -0.11% -0.26% -0.68% -0.63% -0.49% -0.06% 0.96% 0.01% -0.18% 0.01% -0.03% -0.12% 0.49% -0.04% -0.19% -0.14% -0.13% 0.00% 0.89% 0.67% -0.06% 0.74% 0.72% 0.87% 2011/02 0.34% 0.25% -0.15% 0.45% 0.25% 0.63% Middlesex 814,217 810,747 805,204 799,191 792,137 786,890 787,329 781,582 775,973 769,280 Monmouth 631,020 630,920 628,669 627,348 626,644 626,934 627,838 628,605 627,413 624,532 Morris 494,976 492,681 490,779 489,743 488,355 487,486 485,472 483,997 481,000 477,234 Passaic 502,007 501,606 498,641 494,904 492,886 492,730 493,600 493,981 494,915 494,571 8 counties 5,319,079 5,298,691 5,266,561 5,231,740 5,208,432 5,203,203 5,212,851 5,214,371 5,209,106 5,195,068 2011/10 2010/09 2009/08 2008/07 2007/06 2006/05 2005/04 2004/03 2003/02 0.43% 0.69% 0.75% 0.89% 0.67% -0.06% 0.74% 0.72% 0.87% 0.02% 0.36% 0.21% 0.11% -0.05% -0.14% -0.12% 0.19% 0.46% 0.47% 0.39% 0.21% 0.28% 0.18% 0.41% 0.30% 0.62% 0.79% 0.08% 0.59% 0.76% 0.41% 0.03% -0.18% -0.08% -0.19% 0.07% 0.38% 0.61% 0.67% 0.45% 0.10% -0.19% -0.03% 0.10% 0.27% 2011/02 0.63% 0.11% 0.41% 0.17% 0.26% 2011 2010 2009 2008 2007 2006 2005 2004 2003 2002 Population growth in this 8-county area was not only well below the 1% rate for the U.S, but was less than half the rate in New Jersey; since that is the figure for the entire state, the growth rate was only about 1/5 of that for the other 9 counties in New Jersey. The pattern reversed course at mid-decade, with an actual decline from 2004 through 2007 being followed by an average growth rate of 0.5% from 2008 to 2011. Table 6-7. Level and Growth Rate of Personal Income, Billions of Dollars, State of New Jersey, 8 Counties in Northern New Jersey, and the Total of these Counties 2011 New Jersey 462.49 Bergen 60.21 Essex 41.58 Hudson 30.38 Union 27.98 188 30 2010 2009 2008 2007 2006 2005 2004 2003 2002 443.74 430.96 454.21 436.12 411.43 379.65 365.26 347.69 341.56 57.44 56.36 61.09 60.04 55.78 50.55 48.66 45.62 46.24 40.01 37.98 40.20 38.83 36.93 33.99 32.77 30.81 30.14 28.75 26.82 26.57 24.21 22.69 21.15 19.99 19.24 19.00 26.63 25.76 27.59 26.64 25.54 23.28 22.54 21.87 21.51 2011/10 2010/09 2009/08 2008/07 2007/06 2006/05 2005/04 2004/03 2003/02 4.23% 2.97% -5.12% 4.15% 6.00% 8.37% 3.94% 5.05% 1.80% 4.83% 1.91% -7.73% 1.75% 7.63% 10.34% 3.90% 6.65% -1.33% 3.91% 5.34% -5.53% 3.53% 5.14% 8.65% 3.73% 6.37% 2.21% 5.66% 7.20% 0.96% 9.76% 6.69% 7.26% 5.81% 3.88% 1.30% 5.08% 3.35% -6.63% 3.57% 4.31% 9.72% 3.29% 3.06% 1.70% 2011/02 3.42% 2.98% 3.63% 5.35% 2.96% Middlesex 40.06 38.34 37.58 39.53 37.22 34.78 32.14 31.00 30.07 29.55 Monmouth 36.82 35.59 34.79 37.22 36.15 33.68 30.87 29.78 27.75 27.36 Morris 35.50 34.18 32.98 36.25 34.77 33.11 30.55 29.42 27.32 26.93 Passaic 21.69 20.64 20.03 20.57 19.83 18.66 17.41 16.48 16.13 15.92 8 counties 294.23 281.58 272.31 289.02 277.68 261.17 239.95 230.64 218.81 216.63 4.50% 2.02% -4.95% 6.20% 7.01% 8.22% 3.70% 3.10% 1.76% 3.45% 2.31% -6.53% 2.97% 7.35% 9.09% 3.66% 7.32% 1.43% 3.87% 3.65% -9.04% 4.28% 5.01% 8.37% 3.85% 7.67% 1.47% 5.09% 3.04% -2.60% 3.74% 6.26% 7.17% 5.61% 2.22% 1.28% 4.49% 3.41% -5.78% 4.08% 6.32% 8.84% 4.04% 5.41% 1.00% 2011 2010 2009 2008 2007 2006 2005 2004 2003 2002 2011/10 2010/09 2009/08 2008/07 2007/06 2006/05 2005/04 2004/03 2003/02 189 31 3.44% 2011/02 3.35% 3.12% 3.49% 3.46% The growth in personal income over the decade for this 8-county region was the same as the rest of New Jersey, and about 0.3% per year lower than the U.S. economy. The decline in 2009 was obviously tied to the financial markets, but was not nearly as severe as the swings in Manhattan and the suburban counties in New York State. Of particular interest is that income actually continued to rise in Hudson County in 2009 in spite of the increasing concentration of financial institutions who have moved across the river from New York City; it was the only county in this group where income did not decline in 2009. The rebound in 2010 and 2011 for the entire region continued to be close to the national average; for Hudson County, the increase was well above average. Finally, we turn to the commuting patterns. In determining the economic impact of new job creation, it is necessary to choose the counties that form the relevant area for analysis. The economic multipliers will be higher as the number of counties included in the area increases. If the proportion of the workforce covered rises above 95%, that would include too many jobs that are not directly related to the new project. If that proportion falls below 90%, the multipliers would probably be understated. Hence the commuting patterns of the workforce data from the 2000 Census are used to determine the optimal mix of counties to be included in the multiplier calculations. These commuters spend most of their paychecks in the counties where they live, so the economic impact of the new project creates some new induced jobs in bordering counties. Also, some of the goods and services purchased by the new businesses are produced or purchased from establishments in neighboring counties. Table 6-8 can be interpreted as follows. In 2000, there were 223,225 people in the Hudson County workforce. Of these, 121 ,352 lived in Hudson County, 25,444 lived in Bergen County, and so on. We have included counties that accounted for 84.1% of the total Hudson County workforce, which is below the usual level because many of the commuters live in far-flung counties that have few links with Hudson County. Table 6-8. Commuting Patterns for Hudson County, NJ Total Hudson County Workforce Living in these counties: Hudson Co. NJ Bergen Co. NJ Essex Co. NJ Middlesex Co. NJ Union Co. NJ 223,225 121,352 25,444 16,193 8,706 8,251 Passaic Co. NJ 6,468 Monmouth Co. NJ 6,165 Morris Co. NJ Total these 8 counties % in these 8 counties 4,806 197,835 84.1% 190 32 7. Location of Building, Maps of Area, and TEA Analysis Figure 7-1. Location of 88 Morgan Street, Jersey City 4.! ~:t, t:r .; J 191 33 Figure 7-2. Location of Building in the 8-County Area P1~~ Island VVIII'WI<:i< Vernon, wI I 192 34 Figure 7-3. County Map of New Jersey 191'! WW 3 ?a 193 35 TEA Analysis A TEA can be formed from CTs 3,4,5,6,7,8,11, 12,01,12.02, 15, 22,23, 25, 26, 30, 31, 32 33, 44, 45,46,50, 51, 52, 53, and 55; the locations of these CTs are shown in Figure 7-4. The Property is located in CT 26. A letter of certification is expected from the New Jersey Department of Labor. Figure 7-4. Census Tract Map of Jersey City 194 36 8. Economic Impact of Construction Expenditures (b)(4) Table 8-1 shows the total development budget otl I Of this amount, about I lis EB-5 eligible hard construction costsl lis architectural, engineering, and related fees, andl is purchases of furniture, fixtures, and equipment (FF&E). The remaining 1 consists primarily of land costs, interest costs, contingencies, and fees. The total a I in EB-5 eligible hard construction costs used in the RIMS II calculation expressly excludes, the ures stated in the Detailed Construction Budget set out in Table 8-2: (i) n Construction Contingency; (ii) I tor Bond Completion, and (iii) or Jersey City Police. U Table 8-1. Sources and Uses of Funds (b)(4) The details of the budget are given in Table 8-2. We have subtracted certain items from the Hard Cost figure given in Table 8-1 that are not EB-5 eligible; the remaining amount includes building, parking, and site preparation. EB-5 eligible soft costs are architectural, engineering, and surveying fees. THE FIGURES FOR THE CONTINGENCY ALLOWANCE, JERSEY CITY POLICE, BOND COMPLETION AND INSURANCE HAVE BEEN EXCLUDED FROM THE HARD COST CALCULATIONS 195 37 Table 8-2. Detailed Construction Budget Development Budget (b)(4) In general, USCIS has indicated that current-dollar numbers should be deflated to the year in which the input/output coefficients were calculated, which in this case is 2008. For construction expenditures, however, prices have actually dropped since then, as shown in the Turner construction index. The estimated values used in the impact analysis are as follows: 2012, 829; 2013, 845, and 2014, 862 (a 2% annual growth rate). For projects being constructed in 2013 and 2014, the average level would be 854, which is well below the 908 level reached in 2008. 196 38 Quarter Index: fl.% 3rd Quarter 201.2 832 0.73 2nd Quarter 2012 1st Quarter 2012 4th Quarter 201.1 826 821 818 0,61 0.37 0.49 Year 2011 2010 2009 2008 2007 2006 2005 2004 2003 2002 2001 2000 1999 ··Average Index 812 799 832 908 854 793 717 655 621 619 613 595 570 1.6 -4.0 -8A 6.3 7.7 10.6 9.5 5A 0.3 1.0 3.0 4.4 3.8 Turner has prepared the construction cost forecast for more than 80 years. Used widely by the construction industry and Federal and State governments, the building costs and price trends tracked by The Turner Building Cost Index may or may not reflect regional conditions in any given quarter. The Cost Index is determined by several factors considered on a nationwide basis, including labor rates and productivity, material prices and the competitive condition of the marketplace. This index does not necessarily conform to other published indices because others do not generally take all of these factors into account. Further information about this index is available at: http://www.turnerconstruction.com/cost-index The next six tables show the economic impact of (a) hard construction costs, {b) EB-5 eligible soft costs, and (c) purchases of FF&E. In all cases, the tables show the impact for the 20 major industrial classifications in the RIMS II input/output model; in all cases, only indirect and induced impacts are included. Please note that in these and succeeding tables, output and earnings are given in thousands of dollars. 197 39 Table 8-3. Increase in Employment, Output, and Earnings for Hard Construction Costs of 88 Morgan Street (b)(4) Table 8-3 shows there will be a total of I liobs created from the hard on costs of the 88 Morgan Street building. Output would rise aboutl Table 8-4 hile household earnings would increase by aboutl average rtput per new worker is about !Nhde average earnings are about Ci I (b)(4) Table 8-4. Output and Earnings Per New Worker, Hard Construction Costs for 88 Morgan Street 198 40 (b)(4) For equipment purchases, USCIS has agreed to count jobs indirectly created outside the geographical boundaries of a Regional Center (RC) in determining whether the RC's business plan complies with EB-5 regulations. The policy change was expressed in a December 3, 2010, letter from USC IS Director Alejandro Mayorkas in response to a letter from Senator Patrick Leahy, Chairman of the Senate Judiciary Committee. Mayorkas wrote: "USC IS interprets the law to require that a regional center focus its EB-5 capital investment activities on a single, contiguous area within the defined geographic jurisdiction requested by the regional center. Nevertheless, we agree that the law does not further mandate that all indirect job creation attributable to a regional center take place within that jurisdiction. I will, therefore, ensure that USCIS policy reflects this understanding of the law." The regulations include the following language: "The regulation at 8 CFR 204.6.(m) provides [that] ... Each regional center ... shall submit a proposal, which ... Contains a detailed prediction regarding the manner in which the regional center will have a positive impact on the regional or national economy in general as reflected by such factors as increased household earnings, greater demand for business services, utilities, maintenance and repair, and construction both within and without the regional center" (emphasis added). It is highly unlikely that the FF&E is manufactured in the NYC area, and we are not making that claim. One possibility is to use the indirect and induced jobs created by the production of the FF&E outside the regional center. The justification for this approach is as follows: 199 41 The regulations include the following language: "The regulation at 8 CFR 204.6.(m) provides [that] ... Each regional center ... shall submit a proposal, which ... Contains a detailed prediction regarding the manner in which the regional center will have a positive impact on the regional or national economy in general as reflected by such factors as increased household earnings, greater demand for business services, utilities, maintenance and repair, and construction both within and without the regional center" (emphasis added). The drawback to that approach, however, is that in general no information is available indicating the jurisdiction where the FF&E was produced, so we do not know which set of multipliers to use. Hence we have used an alternative approach, which is to claim that the indirect and induced jobs created by the installation of the FF&E in the NYC area can be legitimately included in the EB-5 job count. These jobs would include all of the activities that occur within the region: transportation and distribution of the FF&E to the hotel site, purchasing margins at the wholesale and possibly retail level, and most importantly, the construction jobs that are used in the installation of the FF&E. This generally involves substantial construction activity in terms of installing bathroom fixtures, electronic equipment, telecommunications systems, and other construction jobs associated with preparing the hotel rooms for clients. For this reason, then, the FF&E calculations are based on the indirect and induced final demand and employment multipliers for the construction sector. Table 8-5. Increase in Employment, Output, and Earnings, Purchases of FF&E for 88 Morgan Street, Indirect and Induced Effects Only (b)(4) 200 42 (b)(4) the (b)(4) Table 8-5 shows there will be a total of Oindirect and induced jobs created from rcha es of FF&E for the 88 Morgan Street building. Output would rise about while household earnings would increafe by about~ ITable 8-6 ~output per new worker is about :hile average earnings are about L___..J Table 8-6. Output and Earnings Per New Worker, Purchases of FF&E for 88 Morgan Street, Indirect and Induced Effects Only (b)(4) - 201 43 In terms of what soft costs are EB-5 eligible, we rely on the information given in the NAICS coding manual, which is summarize as follows: 541310 Architectural Services This industry comprises establishments primarily engaged in planning and designing residential, institutional, leisure, commercial, and industrial buildings and structures by applying knowledge of design, construction procedures, zoning regulations, building codes, and building materials. 541330 Engineering Services This industry comprises establishments primarily engaged in applying physical laws and principles of engineering in the design, development, and utilization of machines, materials, instruments, structures, processes, and systems. The assignments undertaken by these establishments may involve any of the following activities: provision of advice, preparation of feasibility studies, preparation of preliminary and final plans and designs, provision of technical services during the construction or installation phase, inspection and evaluation of engineering projects, and related services. 236220 Nonresidential Building Construction This industry comprises establishments primarily responsible for the construction (including new work, additions, alterations, maintenance, and repairs) of commercial and institutional buildings and related structures, such as stadiums, grain elevators, and indoor swimming facilities. This industry includes establishments responsible for the on-site assembly of modular or prefabricated commercial and institutional buildings. Included in this industry are commercial and institutional building general contractors, commercial and institutional building operative builders, commercial and institutional building design-build firms, and commercial and institutional building project construction management firms. Table 8-7. Increase in Employment, Output, and Earnings for EB-5 Eligible Soft Construction Costs of 88 Morgan Street Project (b)(4) ~----------------------------------------------------------------~- 202 "' Department of Homeland Securicy I-797E, Notice of Action U.S. Citizenship and Immigration Servit.... ; A# Application/Petition Receipt# Applicant/Petitioner 1924, Application for Regional Center under Immigrant Investor Pilot Program RCW1236250925 Notice Date February 20, 2013 U. S. Immigration Fund-N J I1 of7 Beneficiary Page Ignacio A Donoso FosterQuan, LLP Re: U. S. IMMIGRATION FUND-NJ Request for Evidence 600 Travis St., Suite 2000 Houston, TX 77002 RETURN THIS NOTICE ON TOP OF THE REQUESTED INFORMATION LISTED ON THE ATTACHED SHEET. May 15, 2013 Note: You are given until the address at the bottom of this notice. in which to submit the requested information to Please note the required deadline for providing a response to this Request for Evidence. The deadline reflects the maximum period for responding to this RFE. However, since many immigration benefits are time sensitive, you are encouraged to respond to this request as early as possible but no later than the date provided on the request. Pursuant to 8 C.F.R.103.2(b)(ll) failure to submit ALL evidence requested at one time may result in the denial of your application. For more information, visit our website at WWW. USCiS.gOV Or call us at 1-800-375-5283 Telephone service for the hearing impaired: 1-800-767-1833 CSC4639 WS25097 DIV Ill MP For non-US Postal Service Attn: I!B 5 RC Proposal 24000 Avila Road, 2nd Floor Laguna Niguel, CA 92677 You will be notified separately about any other applications or petitions you filed. Save this notice. Please enclose a copy of it if you write to us about this case, or if you file another application based on this decision. Our address is: USCIS ·CALIFORNIA SERVICE CENTER P.O. BOX 10590 LAGUNA NIGUEL, CA 92607-0590 800-375-5283 111111111111111111111111111111111111111111111111111111111111111111111111111 RCW1236250925 Fonn I-797E 203 U.S. Immigration Fund Page 2 NJ I RCW1236250925 I ID1236250925 A request for initial designation as a Regional Center under the Immigrant Investor Program ("Program") or an amendment to an existing Regional Center designation, may involve: 1. A request for review of an exemplar Form I-526, Immigrant Petition by Alien Entrepreneur, prior to the filing of Form I-526 petitions by individual alien entrepreneurs with USCIS and/or; 2. In the case of a Regional Center amendment request, a review of a new specific capital investment project where the Regional Center designation involved a review of an exemplar capital investment project. It appears that the applicant is requesting initial designation as a Regional Center under the Program. I. Background: The proposed Regional Center entity, U.S. Immigration Fund- NJ, LLC (USIFNJ), was established on December 7, 2012 in the state of New Jersey, and is structured as a Limited Liability Company. USIFNJ is requesting jurisdiction over a geographic area within the State of New Jersey, including the following counties: Bergen, Essex, Hudson, Middlesex, Monmouth, Morris, Passaic and Union Counties. USIFNJ plans to offer EB-5 capital investment opportunities in affiliated new commercial enterprises, organized as Limited Partnerships and focusing on projects in the following industry categories: Regional Center NAICS Codes NAICS Code 2362 2361 Industry Title Nonresidential Building Construction Residential Valid? Applicable? Yes Yes, this NAICS code applies to the hard construction of the mixed-use residential and retail facility. Building Construction Yes, this NAICS code applies to the hard Yes construction of the mixed-use residential and retail facility. Yes, this NAICS code applies to leasing and 5313 Real Estate Property Managers Yes management operations of the mixed-use residential and retail facility. 5413 Architectural, Engineering, and Related Services Yes, this NAICS code applies to the soft Yes construction of the mixed-use residential and retail facility. The capital investment projects will involve a combination of an equity investment and loan to job creating enterprises located within the proposed bounds of the Regional Center. The applicant's proposed project, 88 Morgan Street Funding, LLC, involve~ the construction and operations of a SO-story luxury rental apartment building in Jersey City, Hudson County, New Jersey. The project will ATTACHMENT TO l-797 204 U.S. Immigration Fund Page 3 (b)(4) NJ I RCW1236250925 I ID1236250925 consist of 417 rental apartment units, 217 parking spaces, and approximately 4,000 sguare feet of retail ~nt to Trump Plaza I. The applicant estimates that the project will cost ~ ~f which L___Jwill be fromOmmigrant investors, and generate approximatelyDobs. II. Evidentiary Requirements for Regional Center Proposals 8 CFR 204.6 (m)(3), which is appended to this notice, describes the evidence that must be submitted in support of a Regional Center proposal. After review of the proposal, the following information, evidence and/ or clarification is required. Note that in response to this notice, that it is helpful to provide a cover letter that acts as an executive summary, followed by a table of contents with sections that are tabbed at the bottom of the page. A. Construction Timeline The applicant asserts that construction will sparr--lonths, beginning with excavation in February or March, 2 0 13 and ending with the acquisition ~emporary certificate of occupancy in April 2 0 15. However, the timeline lacks verifiable detail. • Please present a detailed and itemized construction timeline showing all relevant phases of the construction effort. • Also, please provide transparent, objective, and verifiable data illustrating that the proposed construction timeline and budget are within a reasonable range when compared to industry standards. The applicant solicited the expertise of Evans, Carroll & Associates (Evans-Carroll) to conduct the economic impact analysis. Evans-Carroll calculates the potential economic impacts of the construction and operations of a 417 -unit luxury apartment tower in Jersey City, Hudson County, New Jersey. The Economic Impact Model used is RIMS II calibrated for the counties of Hudson, Essex, Union, Bergen, Passaic, Morris, Monmouth, and Middlesex. Model. Inputs (initial change in final demand, initial change in direct jobs, etc.) are as follows: lin (b)(4) estimated hard construction costs from the pro 1. Hard Construction: Evans-Carroll used forma financial section of the business plan as an input into the RIMS II model. a. Transparency: The parameters are transparent. They are clearly sourced from the pro forma financial section of the business plan. b. Applicability: The parameters are not applicable. The hard construction costs are inflated due to the inclusion of contingency costs and police fees. ATTACHMENT TO I-797 205 U.S. Immigration Fund- NJ I RCW1236250925 I ID1236250925 Page 4 c. d. Reliability: The parameters are not reliable. They are not supported by verifiable data and analysis or a comparison to industry standards. Up-to-Date: The parameters appear up-to-date. • Please resolve Issues b. and c. (b)(4) I 2. FF&E: Evans-Carroll uses ~ estimated FF&E costs from the pro forma financial section of the business plan as an input into the RIMS II model a. Transparency: The parameters are transparent. They are clearly sourced from the pro forma financial section of the business plan. b. Applicability: The parameters are applicable. c. Reliability: The parameters are not reliable. They are not supported by verifiable data and analysis or a comparison to industry standards. d. Up-to-Date: The parameters appear up-to-date. • Please resolve Issue c. (b)(4) Jn 3. Operations: Evans-Carroll uses! estimated annual apartment rental income from the pro forma financial section oft e business plan costs as an input into the RIMS II model a. Transparency: The parameters are transparent. They are clearly sourced from the market analysis and pro forma financial section of the business plan. b. Applicability: The parameters are applicable. c. Reliability: The parameters are reliable. The market analysis presents competing developments that substantiate most of the revenue assumptions used in the analysis. d. Up-to-Date: The parameters appear up-to-date. (b)(4) lin 4. Soft Construction: Evans-Carroll usesl estimated soft construction costs from the pro forma financial section of the business plan as an input into the RIMS II model a. Transparency: The parameters are transparent. They are clearly sourced from the pro forma flnancial section of the business plan. b. Applicability: The parameters are applicable. c. Reliability: The parameters are not reliable. They are not supported by verifiable data and analysis or a comparison to industry standards. d. Up-to-Date: The parameters appear up-to-date. • Please resolve Issue c. III. General issues Translations: Any document containing a foreign language submitted to USCIS shall be accompanied by a full English translation that the translator has certified as complete and accurate, and by the translator's certification that he or she is competent to translate from the foreign language into English. ATTACH!vfENT TO I-797 206 U.S. Immigration Fund- NJ I RCW1236250925 I ID1236250925 Page 5 Copies: Unless specifically required that an original document be filed with an application or petition, an ordinary legible photocopy may be submitted. Original documents submitted when not required will remain part of the record, even if the submission was not required. NOTES: Any document submitted to the USCIS containing a foreign language, must be accompanied by a full English language translation that has been certified by the translator as complete and accurate, and that the translator is competent to translate from the foreign language into English. Submit clear and legible copies of all requested evidence. If clear and legible copies are not possible, submit the original documents. These originals will be returned, if requested. Please provide an index of any submitted evidence and include corresponding tabs for each section of evidence. IV. Regulatory References The regulation at 8 CFR 103.2(a)(3) provides the following definitions: (3) Representation. An applicant or petitioner may be represented by an attorney in the United States, as defined in 1.1 (f) of this chapter, by an attorney outside the United States as defined in 2 92 .1 (a) (6) of this chapter, or by an accredited representative as defined in 292.1 (a) (4) of this chapter. A beneficiary of a petition is not a recognized party in such a proceeding. An application or petition presented in person by someone who is not the applicant or petitioner, or his or her representative as define~ in this paragraph, shall be treated as if received through the mail, and the person advised that the applicant or petitioner, and his or her representative, will be notified of the decision. Where a notice of representation is submitted that is not properly signed, the application or petition will be processed as if the notice had not been submitted. The regulation at 8 CFR 204.6(e) provides the following definitions: Qualifying employee means a United States citizen, a lawfully admitted permanent resident, or other immigrant lawfully authorized to be employed in the United States including, but not limited to, a conditional resident, a temporary resident, an asylee, a refugee, or an alien remaining in the United States under suspension of deportation. This definition does not include the alien entrepreneur, the alien entrepreneur's spouse, sons, or daughters, or any nonimmigrant alien. Regional center means any economic unit, public or private, which is involved with the promotion of economic growth, including increased export sales, improved regional productivity, job creation, and increased domestic capital investment. The regulation at 8 CFR 204.6(j)(4) provides: ATTACHMENT TO I-797 207 U.S. Immigration Fund Page 6 NJ I RCW1236250925 I ID1236250925 Job creation -(i) GeneraL To show that a new commercial enterprise will create not fewer than ten (1 0) full-time positions for qualifying employees, the petition must be accompanied by: (A) Documentation consisting of photocopies of relevant tax records, Form I-9, or other similar documents for ten ( 10) qualifying employees, if such employees have already been hired following the establishment of the new commercial enterprise; or (B) A copy of a comprehensive business plan showing that, due to the nature and projected size of the new commercial enterprise, the need for not fewer than ten (10) qualifying employees will result, including approximate dates, within the next two years, and when such employees will be hired. (ii) Troubled business. To show that a new commercial enterprise which has been established through a capital investment in a troubled business meets the statutory employment creation requirement, the petition must be accompanied by evidence that the number of existing employees is being or will be maint~ined at no less than the pre-investment level for a period of at least two years. Photocopies of tax records, Forms I-9, or other relevant documents for the qualifying employees and a comprehensive business plan shall be submitted in support of the petition. (iii) Immigrant Investor Pilot Program. To show that the new commercial enterprise located within a regional center approved for participation in the Immigrant Investor Pilot Program meets the statutory employment creation requirement, the petition must be accompanied by evidence that the investment will create. full-time positions for not fewer than 10 persons either directly or indirectly through revenues generated from increased exports resulting from the Pilot Program. Such evidence may be demonstrated by reasonable methodologies including those set forth in paragraph (m) (3) of this section. The regulation at 8 CFR 204.6(m)(l) provides: ( 1) Scope. The Immigrant Investor Pilot Program is established solely pursuant to the provisions of section 610 of the Departments of Commerce, Justice, and State, the Judiciary, and Related Agencies Appropriation Act, and subject to all conditions and restrictions stipulated in that section. Except as provided herein, aliens seeking to obtain immigration benefits under this paragraph continue to be subject to all conditions and restrictions set forth in section 203(b)(5) of the Act and this section. The regulation at 8 CFR 204.6(m)(3) provides: (3) Requirements for regional centers. Each regional center wishing to participate in the Immigrant Investor Pilot Program shall submit a proposal to the Assistant Commissioner for Adjudications, which: ATTACHMENT TO I-797 208 U.S. Immigration Fund NJ I RCW1236250925 I ID1236250925 Page 7 (i) Clearly describes how the regional center focuses on a geographical region of the United States, and how it will promote economic growth through increased export sales, improved regional productivity, job creation, and increased domestic capital investment; (ii) Provides in verifiable detail how jobs will be created indirectly through increased exports; (iii) Provides a detailed statement regarding the amount and source of capital which has been committed to the regional center, as well as a description of the promotional efforts taken and planned by the sponsors of the regional center; (iv) Contains a detailed prediction regarding the manner in which the regional center will have a positive impact on the regional or national economy in general as reflected by such factors as increased household earnings, greater demand for business services, utilities, maintenance and repair, and construction both within and without the regional center; and (v) Is supported by economically or statistically valid forecasting tools, including, but not limited to, feasibility studies, analyses of foreign and domestic markets for the goods or services to be exported, and/ or multiplier tables. Note that promoting economic growth through increased export sales is no longer a requirement. The regulation at 8 CFR 204.6(m)(6) provides: (6) Termination of participation of regional centers. To ensure that regional centers continue to meet the requirements of section 610(a) of the Appropriations Act, a regional center must provide USCIS with updated information to demonstrate the regional center is continuing to promote economic growth, improved regional productivity, job creation, or increased domestic capital investment in the approved geographic area. Such information must be submitted to USCIS on an annual basis, on a cumulative basis, and/or as otherwise requested by USCIS, using a form designated for this purpose. USCIS will issue a notice of intent to terminate the participation of a regional center in the pilot program if a regional center fails to submit the required information or upon a determination that the regional center no longer serves the purpose of promoting economic growth, including increased export sales, improved regional productivity, job creation, and increased domestic capital investment. The notice of intent to terminate shall be made upon notice to the regional center and shall set forth the reasons for termination. The regional center must be provided 30 days from receipt of the notice of intent to terminate to offer evidence in opposition to the ground or grounds alleged in the notice of intent to terminate. If USCIS determines that the regional center's participation in the Pilot Program should be terminated, USCIS shall notify the regional center of the decision and of the reasons for termination. As provided in 8 CFR 103.3, the regional center may appeal the decision to US CIS within 30 days after the service of notice ATTACHMENT TO I-797 209 1B No. 1615-0105; Expires 04/30/2012 Department of Homeland Security G-28, Not·. x of Entry of Appeara~e as Attorney Oli' Accredited Representative Part 1. Notice of Appearance as Attorney or Accredited Representativ~ A. This appearance is in regard to immigration matters before: 171 l!J . ~ 1-924 USCIS -List the 10nn number(s): - - - - - - - - - - D CBP - List th:l! specific matter in which appearance is entered: ICE - List the specific matter in which appearance is entered: B. 1 hereby enter my appearance as attorney or accredited representative at the re~~;uest of: List Petitioner, Applicant, or Respondent. NOTE: Provide the mailing address of Petitioner, A~pplicant or Respondent being represented, and not the address of the attorney or accredited representative, except when filed under VAWA. · ' Principal Petitioner, Applicant, or Respondent First Name: Last A Number or Receipt Number, if any Middle Petitioner lZJ Applicant US IMMIGRATION FUND-ttl LLC 0 Apt. No. A. City STE 300 NORTH PALM t3EACH MASTROIANNI, II 0 ( Respondent State Zip Code FL 33408 named Attorney or Accredited Representative of any Date NOVEMBER 2, 2012 Part 2. A. [{] I am an· orney and a member in good standing of the bar of the hig~.test court(s) of the following State(s), possession(s), territory(ies), commonwealth(s), or the District of Columbia: Califomia I am not GZJ or 0 am subject to any order of any court 1)-'1" administrative agency disbarring, suspending, enjoining, restraining, or otherwise restricting me in the practice oVtaw (If you are subject to any order(s), explain fully on reverse side). I am an accredited representative of the following qualifi~d non-profit religious, charitable, social service, or similar organization established in the United States, so recognized by the D;epartment of Justice, Board oflmmigration Appeals pursuant to 8 CFR 1292.2. Provide name of organization and expiration date of ?..ccreditation: B. C. out Attorney or Accredited Represr.:ntative (Check applicable items(s) below) 0 I am associated with The attorney or accredited representative of record previously filed Form G-28 in this case, and my appearance as an attorney or accredited representative is at his or her re•..juest (Ifyou check this item, also complete item A orB above in Part 1, whichever is appropriate). Part 3. Name and Signature of Attorney or Accredited Representative I have read and understand the regulations and conditions contained in 8 CFR 103.2 and 292 governing appearances and representation before the Department of Homeland Security. I declare under penalty of perjury under the laws of the United States that the information I have on this form is true and correct. Name of Attorney or Accredited Repres0ntative Attorney Bar Number(s), if any 178883 Signature of ttorney or ~iteli R resentative ./{,(?(£'~) I',_~. ~-LD--· Compl Date NOVEMBER 3c ,2012 Address of Attorney r Or nization of Accredited Representative (Street Number and Street Name, Suite No., City, State, Zip Code) uan, LLP, 600 Travis St., Sui 000, Houston, Texas 77002, USA Phone Number (Include area code) Fax Number, if any (Include area code) E-Mail Address, if any (713) 335-3993 {713) 228-1303 idonoso@fosterquan.com Form G-28 (Rev. 04122109)N FosterQuan, LLP 210 , . ' r .viR No. !615-0061; Expires 09/30/2012 Form 1~924, Application for Regional Center Under the Immigrant Investor Pilot Program Department. of Homeland Secul'ity US. Citiz\!nship and lrnmigration Services Fe 111111111 1111111111111111111111111111111111111111111111111111111111 11111111 RCW1236250925 egarcia2 1924 12/21/2012 [g) G-28 attached A ttomey's State License No. 178883 Pat·t 1. Information About Principal of tbc Regional Center 1\amc: CiO: Last First /Middle MASTROIANNI UICHOLAS Ill.. U.S. IMtviiGRATION FUND-NJ, LLC ~tr~d Addrcss/P.O. Box: 1295 U.S. HIGHWAY 1, SUl'l'F: 300 NORTE PALM BEACH (b)(6) ······-···---~~:;;;;;;;;;;;~~~~-----11~~~~---··········· Fax Number (include area code): ll;Jtc: of Birth (mmiL!d/yyyy): 'Ncb site address: WHW. Part 2. 5617990061 5617991883 visaeb-5. com Type (Check a. Initial Application for Designation as a Regional Center h. Amendment to an approved Regional Center application. Note the previous application receipt number, if any (also attach the Regional Center's previous approval notice): --~~~------------~~~-------------------- Part 3. Information About the Center a continuation sheet, if needed, to provide infonnation for additional management companies/agencies, Regional Center mm,·'"""" agents, individuals or entities who are or will be involved in the management, oversight, and administration of the regional A. \lame of Regional Cenkr: U.S. H1MIGRATION Strect/\ddress/P.O.Box: ~~------ ..... ........................................ _. FUND-NLT 129') TJ.S. EJGll\•IAY 1, SlL.'.I'E: 300 -···········--·-----~--------.-------------·······------·-----~------..,--- State: FL NORTE PAU1 BEACH W;;b site address: 1 ---------- .. ................ -. Zip Code: 33408 Fax Number (include area code): Telephone Number (include area code): .visacb-S.com 561'7990061 5617991883 I 1 1111 111111111111/llllllllllllllltlltllllllllllllllllllllllllllltllllltlllllllllllllm 1 1 1 1~1 1 1 1 1 1 ~tl tl l tl Form I-924 (11:231!0) 211 It ~~amc of rv1anaging Company/Agency: G. S. IMJI.HGHATION FUND, LLC Socci Address/P.O. Box: 95 U.S. l!ICHltJAY l, SUITE .300 Web site address: area code): .v.isaeb-5.com :161 990061 C. Name of Other Agent N/A S1rc.:t Addrcss/P.O. Box: Web site area code): D. C\mtinuation, if needed. to provide information for additional management companies/agencies, regional center principals, agents, mdividuals or entities who are or will be involved in the management, oversight, and administration of the regional center.) ATTACHED OPERATIONS PLAN AT EXHIBIT 12. Il'ANT FOR REGIONJ\1 CENTEP. DESIGN.td'JON. (b)(4) 1 ~:li 1 ~1 1 1~ /Il ~ IIIIIIJI/1 1 1~ I ~I~ Il ~ !I~ ~I ~ ~ 1 ~1 1~ ~1 1 ~ 1 1~1 1~ 1 ~1 1 1 1 Iill 111 IIIII IJVE1IGRATION E'UN[l-NJ LLC IS THE ~ED U.S. IMMIGRATION FUND-N.T, LLC IS I'1ANl\.GED BY C.S. HlJVJIGHATION FOND, LLC. 1 U.S. U.S. H1MIGRATION FOND, LL I ..:ol _I I Form l-924 (lll23il0) Page 2 ill/Ill 212 Part 3. Information About the Regional Center (Continued) Nott: If extra space is needed to complete any item, attach a continuation sheet, indicate the item number, and provide the response. Ia. Describe the structure, ownership and control of the regional center entity. (b)(4) ~~.",. SF:~: A'I'TACHED OPEHA'.LIONS PLAN A'f EXHIBIT 12. L.__jr.l\\iNED BY U.S. H1!•liGH!,TION fmJD, LLC. U.S. H4MIGRAT10N FUND-tM, LLC IS U.S. liVH"lTGRAT!ON r'UND-NJ, LLC v'HLL llil:v::: A h. D.tlc the Regional Center was cstablishcd(mmidcL'yyyy): 2 012-12-0 7 ,., Organinlion Structure for the Regional Center: I. '\gency of a U.S. State or Territory (identify) ------------------------------------ 2. Corporation 3. Partnership (i.ncluding Limited Partnership) 4. Limited Liability Company (LLC) 5. Other (Explain) - - -....................--.-.. . . . . . . ._. . . .. 2.. ('t tbis regional center's designation ever been formally terminated by USCJS, or has the regional center ever filed a Form J-924 regional center proposal or amendment that was denied? 1\n Yes- Attach a copy of the adverse decision, with an explanation, the date of decision, and case number, if any. J. Dcscnhc the geographic area of the regional center. Note: This area must be contiguous. Provide a map of the geographic area. County; I:;3sex County; H:1dson County; £-jiddlesex y; Monmouth County, Passaic County; Union County, and Morris County, in the State ~1APS PLF.}\SS SEE OY 'rEE REGION .I\1 CENTER 1 S TE.RF.ITORY .ii.TTACHFD TN EXHIBI'r De~cribe tht! regional center's administration, oversight, and management functions that are or will he in place to monitor aH EB-5 investment activities and the allocation of the resulting jobs created or maintained under the sponsorship of tl1e regional 1 1 ~1 ~lil:ili l ~i~l ~l il~lil ~llll~l!l~l!~lll~l~~l111~!11111 ~1f~~~~~~~~~~~~~ i 1 Form 1-924 (! 1/23110) Pagd 213 Part 3. Information About the Regional Center (Continued) 8a. Describe and document the current and/or prospective structure of ownership and control of the commercial entity(s) in which the EB-5 alien investors have or will make their capital investments. THE REGIONAL CENTER WILL FORM NEW LIMITED I..IA0iL1f'( (ii:-IP41i•WO CONSTITUTE THE NEW COMMERCIAL ENTERPRISE THAT WILL BE THE TARGET OF INVESTMENT FOR FOREIGN INVESTORS. THE LIMITED uMliLirfc:oHf'\N'{ WILL BE MANAGED BY A MM·~E.IZ. , WHICH WILL BE A COMPANY OWNED OR AFFILIATED WITH US IMMIGRATION FUND, LLC. b. Date commercial enterprise established, if any (mm/dd/yyyy): N/A ------ c. Organization Structure for commercial enterprise: 1. Corporation fJ IRJ 0 2. Partnership (including Limited Partnership) 3. Limited Liability Company (LLC) 4. Other (Explain) d. Has or will the Regional Center or any of its principals or agents have an equity stake in the commercial enterprise? D No ~ Yes - Attach an explanation and documentation that outlines when and under what circumstances these remittances will be paid. e. Has or will the Regional Center or any of its principals or agents receive fees, profits, surcharges, or other like remittances through EB-5 capital investment activities from this commercial enterprise, beyond the minimum capital investment threshold required of the EB-5 alien entrepreneurs? No ~ Yes- Attach an explanation and documentation that outlines when and under what circumstances these remittances will be paid. Part 4. Applicant Signature Read the information on penalties in the instructions before completing this section. If someone help, ou prepare this petition, he or she must compete Part 5. I certify, under penal ofp, jury under the laws of the United States of America, that this form and the evidence submitted with it are all t correct. au e the release of any information from my records that U.S. Citizenship and Immigration Services needs to etermin eligi ity r t e benefit being sought. I also certify that I have authority to act on behalf of the Regional Center. Daytime Phone Number (Area/Country Codes) (561) 799-1883 Date (mmlddlyyyy) 11/02/2012 E-Mail Address NICHOLAS A. MASTROIANNI, II Relationship to the Regional Center Entity (Managing Member, President, CEO, etc.) PRINCIPAL AND REPRESENTATIVE OF THE SOLE MANAGER, US IMMIGRATION FUND, LLC Form 1-924 (11123110) Page 5 214 45 9. Economic Impact of Rental Income for Apartments, Retail Space, and Parking Space The building at 88 Morgan Street will be primarily residential, containing 417 apartments, 214 parking spaces, and about 4,000 square feet of retail space. According to the developer, the Jersey City market place is one of the strongest rental markets in New Jersey. Rents at comparable developments are well over $40/sq ft and occupancies hover in the high 90s. The operating assumptions are shown in Table 9-1. Table 9-1. Operating Assumptions for 88 Morgan Street, Jersey City, NJ (b)(4) Jperating Assumptions The monthly rentals for comparable apartment buildings in Jersey City are shown in Table 9-2. 215 46 Table 9-2. Comparable Rents in Jersey City . . .. Rent wath Wm L.mm:ss 216 47 The total annual rental income entered into the RIMS II model is hence calculated as follows, based on the operating projections provided by the developer. The figures for "Year 4", which is the first full year of occupancy, are used for these calculations. Table 9-3. Operating Projections, first 4 Years, for 88 Morgan Street Building Detailed Operating Projections (b)(4) (b)(4) In the first full year of operation, gross potential rent would be I I however that figure must be reduced by an expected 3% vacancy rate, 0.5% loss for bad debts, and first-year rent concessions (essentially one free month) that amount to another~ Hence total apartment rentals after subtracting these items equals This figure is then boosted by the expected revenue for parking spaces, retail income, and other fees. There are 214 parking spaces and an average monthly fee ofc::::Jmonth, adjusted for the 3% vacancy rate and 0.5% loss for bad debts. Retail space of 4,000 square feet is expected to rent forOper square foot, which is well below the arrale for comparable locations. Finally, fees from other income are expected to be per month per occupied unit, with the first-year I 217 48 adjustment for one month of free rent. Summing all these factors indicates total annual rental income of ltor the first full year of operation. (b)(4) I This figure is in 2016 dollars, while the input/output coefficients are based on 2008 dollars, so it must be deflated. The CPI for rental; income medium-sized cities rose 1.6% per year from 2008 to 2012, as shown in Table 9-4, so continujng that rate forward to 2016, the deflator would be 1.134, indicating rental income of in 2008 dollars. ' - - - - - -.... I (b)(4) Table 9-4. CPI for Primary Rental Income, Medium-Sized Cities The detailed industry results for 1 ..___.....t in rental income are shown in the next two tables. (b)(4) Table 9-5. Increase in Employment, Output, and Earnings, Rental Income for 88 Morgan Street Building, 2008 Dollars 218 49 (b)(4) I Table 9-5 shows there would be an increase of0permanent new jobs f r o o rental income of the 88 Morgan Street building. Total output would rise about I land household earnings would increase by about Table 9-6 s ows with average annual earnings of about output per new worker would be about I I I I I (b)(4) Table 9-6. Output and Earnings Per New Worker, Rental Income for 88 Morgan Street Building, 2008 Dollars 219 50 220 51 10. Summary Statistics for the Construction and Rental Income for the 88 Morgan Street Building Tables 10-1 and 10-2 show the combined economic impact of constructing and rental income for the 88 Morgan Street Building. These results are the summation of the data given in Sections (8) and (9), so the individual cells simply represent the sum (or average) of these figures in the previous two sections. Table 10-1. Increase in Employment, Output, and Earnings for Construction and Operation of the 88 Morgan Street Building (b)(4) (b)(4) rot Table 10-1 shows that c::Jpermanent new jobs would be created by the construction and rental income for the 88 Morgan Street building. Output rise bJj aboutl l and household earnings would increase by about Table 10-2 shows that the average output per new worker would be about while average annual earnings would be aboutl I 221 52 Table 10-2. Output and Earnings Per New Worker for Construction and Operation of 88 Morgan Street Building (b)(4) 222 53 Appendix: Resume of Dr. Michael K. Evans mevans@evanscarrollecon.com CURRENT AND PREVIOUS POSITIONS • Chairman, Evans, Carroll & Associates, Inc., 1980-present Economics) (previously Evans Economic consulting firm specializing in EB-5 immigration analysis, economic impact studies of development projects and new construction, models of state and local tax receipts, impact of current and proposed government legislation, and construction of econometric models for individual industries and companies. • Chief Economist, American Economics Group, 2000-2008. Built a comprehensive state modeling system that provides economic analysis for a variety of consulting projects (see below). • Clinical Professor of Economics, Department of Managerial Economics and Decision Sciences (MEDS), Kellogg Graduate School of Management, Northwestern University, 1996-99. Taught courses in macroeconomics and business forecasting. Wrote textbooks for both courses. • Winner of Blue Chip Economic Indicator Award for most accurate macroeconomic forecasts during the past four years, November 1999 • Founder and President, Chase Econometric Associates, 1970-1980 • Assistant and Associate Professor of Economics, Wharton School, University of Pennsylvania, 1964-69. Co-developer of the original Wharton Model. • Visiting Professor, Radford University, (Radford, VA), 1987 Chairman of Institute for International Economic Competitiveness • Visiting Lecturer, Hebrew University (Jerusalem), 1966-67 Built econometric model of the Israeli economy • Ph. D. in Economics, Brown University. Dissertation, "A Postwar Quarterly Model of the United States Economy, 1948-1962". A. B. in Mathematical Economics, Brown University 223 54 PREVIOUS ACTIVITIES AND EDUCATION • Contributing Editor, Industry Week Wrote a column in each issue on economic and financial trends as they impact the manufacturing sector. • Editor, The Evans Report Weekly newsletter discussing economic trends and financial markets. Pioneered the concept of the Monthly Tracking Model to incorporate recent economic releases into the overall economic forecast, including methods to predict these economic data. • Consultant, National Printing Equipment and Supply Association Prepared quarterly forecasts of shipments of printing equipment and graphic arts supplies by product line, based on an econometric model constructed for NPES. Also prepares analysis and forecasts of exports and imports by principal product line. • Consultant, APICS -- The Educational Society for Resource Management, Designed and developed the APICS Business Outlook Index, which used survey data collected by the Evans Group to measure current production, production plans, shipments, employment, new orders, unfilled orders, inventory stocks, and the comparison of the actual to desired inventory/sales ratio to predict short-term changes in manufacturing sector activity. The results of this survey appeared every month in APICS: The Performance Advantage • Consultant, American Hardware Manufacturing Association Wrote a separate weekly edition of the Evans Report analyzing recent trends in the hardware and housing industries, including forecasts of the hardware industry based on an econometric model developed for AHMA. • Board of Economists, Los Angeles Times Wrote column every 6 weeks (5 other economists on the Board) • Columnist, United Press International Wrote twice-weekly column, "Dollars and Trends" • Consultant, Senate Finance Committee, 224 55 Built the first large-scale supply-side model of the U.S. economy • Consultant, Environmental Protection Agency and Council on Environmental Quality Estimated inflationary impact of government regulations • Consultant, National Aeronautics and Space Administration Estimate impact of R&D spending on productivity growth • Consultant, U.S. Treasury Estimated impact of investment tax credit and accelerated depreciation on capital spending by industry • Consultant, U. S. Department of Agriculture Built large-scale econometric model of agricultural sector of U.S. economy • Consultant, Organization of Economic Cooperation and Development Built econometric model of the French economy SAMPLE OF RECENT CONSULTING PROJECTS A. Economic Impact of EB-5 Immigrant Investor Programs and New Markets Tax Credits For more information on these projects, see www.evanseb5.com Key to symbols: N, new regional center, E, extension of existing center List is current as of November 5, 2010. Totals to date are 136 new regional centers, 72 extensions, and 7 new markets tax credits, for a total of 215 projects N• Calculated the economic impact of the construction and operation of an assisted living center in Santa Ana, CA N• Calculated the economic impact of the construction and operation of several BBQ restaurants in South Florida. N• Calculated the economic impact of the drilling oil wells in 8 counties in Texas and Louisiana. 225 56 N• Calculated the economic impact of operating coal mines for metallurgical coal in West Virginia. N• Calculated the economic impact of operating gold mines in Alaska. N• Calculated the economic impact of constructing and operating a mixed-use commercial center in Flushing, NY N• Calculated the economic impact of constructing and operating two hotels, one in downtown San Diego, and one in Escondido, CA N• Calculated the economic impact of expanding and operating an auto racing track in Palm Beach, FL N• Calculated the economic impact of building and operating mobile housing villages for disaster relief. N• Calculated the economic impact of operating an "incubator" for research on medical devices, preparations, and services in Houston, TX. N• Calculated the economic impact of constructing and operating a mixed-use commercial center in Denver, CO. N• Calculated the economic impact of constructing and operating a charter school in Miami/Dade County, FL E• Calculated the economic impact of constructing and operating a hotel in Manhattan, NY N• Calculated the economic impact of constructing and operating hotels, assisted living centers, and mixed-use commercial buildings in 8 counties in Southern California N• Calculated the economic impact of constructing and operating a charter school in Broward County, FL N• Calculated the economic impact of renovating a former public housing project in Chicago, IL N• Calculated the economic impact of starting a high-tech company for optical displays in Orlando and Gainesville, FL N• Calculated the economic impact of constructing and operating luxury hotels in four Southern California counties E• Calculated the economic impact of expanding a manufacturing company in Ann Arbor, Ml 226 57 N• Calculated the economic impact of reconverting an old mill building into offices and other commercial uses in Bristol County, MA N• Calculated the economic impact of a film and TV production studio in Los Angeles, CA N• Calculated the economic impact of constructing and operating various residential and commercial buildings in 35 Texas counties. N• Calculated the economic impact of constructing and operating the world's tallest residential structure in Chicago, IL N• Calculated the economic impact of constructing and operating a mixed-use commercial and residential building in Seattle, WA N• Calculated the economic impact of constructing and operating a hotel in Cleveland, OH N• Calculated the economic impact of a research facility in Jupiter, FL N• Calculated the economic impact of constructing and operating an assisted living center in Harry County, SC N• Calculated the economic impact of constructing and operating a chain pharmacy in Chicago, IL E• Calculated the economic impact of constructing and operating a high-end hotel and resort in Aspen, CO N• Calculated the economic impact of constructing and operating an assisted living center in Dallas, TX E• Calculated the economic impact of constructing and operating an medical assistance company in Bronx, NY E• Calculated the economic impact of constructing and operating a mixed-use commercial building in Queens, NY E• Calculated the economic impact of operating a livery service in Queens, NY N• Calculated the economic impact of constructing and operating residential properties in Southern California N• Calculated the economic impact of operating a film and TV production studio in Los Angeles, CA N• Calculated the economic impact of drilling oil wells in Montana 227 58 N• Calculated the economic impact of constructing and operating various residential and commercial buildings for 43 counties in Texas E• Calculated the economic impact of constructing and operating a restaurant and dinner theater in Guam N• Constructed an input/output model for the Commonwealth of the Northern Mariana Islands, and used it to calculated the economic impact of constructing and operating a restaurant in Saipan. E• Calculated the economic impact of constructing and operating a new hotel in Miami, FL E• Calculated the economic impact of constructing and operating a resort and wellness center in South Florida N• Calculated the economic impact of expanding and operating a ski resort in Vermont. N• Calculated the economic impact of constructing and operating residential and commercial buildings in 20 counties in South Central Texas N• Calculated the economic impact of constructing and operating a hotel near the Newark, NJ airport E• Calculated the economic impact of constructing and operating a company to process health insurance benefits in South Florida E• Calculated the economic impact of constructing and operating a veterinary hospital in Palm Beach County, FL N• Calculated the economic impact of constructing and operating various residential and commercial buildings for all counties in MA, CT, Rl, and NH N• Calculated the economic impact of constructing and operating a residential construction company in Maryland N• Calculated the economic impact of constructing and operating various residential and commercial buildings for the entire state of Oklahoma N• Calculated the economic impact of constructing and operating a company for manufacturing dental implants in Cuyahoga County, OH N• Calculated the economic impact of constructing and operating a mixed-use commercial facility in Brooklyn, NY 228 59 N• Calculated the economic impact of constructing and operating an office building for financial services in downtown Manhattan, NY N• Calculated the economic impact of constructing and operating a mixed-use facility in Southern California N• Calculated the economic impact of constructing and operating a retail shopping center in Tampa, FL N• Calculated the economic impact of constructing and operating a retail shopping center in Tampa, FL N• Calculated the economic impact of constructing and operating a mixed-use commercial building in Seattle, WA N• Calculated the economic impact of constructing and operating a charter school in Arizona N• Calculated the economic impact of constructing and operating a resort in northeastern Utah N• Calculated the economic impact of operating an online video game company N• Calculated the economic impact of constructing and operating a hotel in New York City N• Calculated the economic impact of constructing and operating a fashion mall in South Florida E• Calculated the economic impact of construction and operation of a new automobile assembly plant in Petersburg, VA N• Calculated the economic impact of operating a call center for the U.S. government in Muskogee, OK N• Calculated the economic impact of developing a mixed-use commercial and residential center in Scottsdale, AZ N• Calculated the economic impact of constructing and operating a "Green Box" facility in New Jersey to process waste material on a pollution-free basis. N• Calculated the economic impact of constructing and operating a "Green Box" facility in Washington State to process waste material on a pollution-free basis. E• Calculated the economic impact of constructing and operating a new hotel in Coral Gables, FL 229 60 E• Calculated the economic impact of developing a new residential community in Brevard County, and retail stores and restaurants in St. Lucie County, FL N • Calculated the economic impact of a new business to store and process field crops in Madison, MS N• Calculated the economic impact of operating food service establishments and assisted living centers in 40 counties in Texas. E• Calculated the economic impact of developing a mixed-use commercial center in Miami, FL N• Calculated the economic impact of renovating a theater in New York City to show film highlights of previous Broadway hits. N• Calculated the economic impact of renovating and operating distressed buildings in the San Francisco Bay area. E• Calculated the economic impact of a mixed-use commercial center in Montgomery County, TX E• Calculated the economic impact of expanding a manufacturing facility to produce more energy-efficient lighting in Sarasota, FL N• Calculated the economic impact of developing facilities for amateur sporting events in northern GA N• Calculated the economic impact of developing a mixed-use commercial center in Missoula, MT N• Calculated the economic impact of operating call centers in Las Vegas, NV, and other western Nevada counties E• Calculated the economic impact of constructing and operating a proton cancer treatment center in Boca Raton, FL E• Calculated the economic impact of constructing and operating a "Green Box" facility in Detroit to process waste material on a pollution-free basis. E• Calculated the economic impact of renovating and expanding commercial property in Lower Manhattan N• Calculated the economic impact of constructing student housing and retail stores in Davie, FL 230 61 E• Calculated the economic impact of constructing residential housing near Harvard University E• Calculated the economic impact of developing mixed-use commercial centers in Broward County, FL E• Calculated the economic impact of renovating a Dallas apartment building E• Calculated the economic impact of renovating and operating a nursing home in Las Vegas, NV E• Calculated the economic impact of constructing a hotel and shopping center in Miami, FL E• Calculated the economic impact of developing a design center in Miami/Dade county, FL E• Calculated the economic impact of developing and operating a chain of children's playrooms and party facilities in South Florida E• Calculated the economic impact of developing a new stadium for the Nets basketball team, to be located in Brooklyn, NY E• Calculated the economic impact of developing a Marriott hotel in Washington, D.C. E• Calculated the economic impact of developing and operating a casino for foreign patrons in Las Vegas, NV E• Calculated the economic impact of operating a series of yogurt fast-food restaurants in South Florida E• Calculated the economic impact of constructing steel homes and commercial buildings in South Florida N• Calculated the economic impact of construction and operation of a farm distillery in Vermont N• Calculated the economic impact of purchase and renovation of deeply discounted residential properties in South Florida N• Calculated the economic impact of a hotel to be built near LaGuardia Airport in Queens, NY N• Calculated the economic impact for several mixed-use commercial and residential properties for a regional center covering southern Wisconsin and northern Illinois. 231 62 N• Calculated the economic impact for mixed-use commercial project in Flushing, NY E• Calculated the economic impact for major new hotel near the Washington, D. C. conference center N• Calculated the economic impact of an assisted living center in suburban Atlanta, GA N• Calculated the economic impact of an office tower in mid-town Manhattan for the diamond trade N• Calculated the economic impact of three mixed-use commercial and residential projects in Santa Clara County, CA N• Calculated the economic impact of six mixed-use commercial and residential projects in Los Angeles, Orange, Riverside, and San Bernardino counties N• Calculated the economic impact of operating a chain of pizza restaurants in southern Florida. N• Calculated the economic impact of constructing and operating an assisted living facility in Atlanta, GA E• Calculated the economic impact of constructing and operating an expansion of University Hospital in Cleveland, OH E• Calculated the economic impact of a wastewater treatment plant in Victorville, CA N• Calculated the economic impact of drilling for geothermal energy and constructing and operating power plants in several counties in Nevada E• Calculated the economic impact of a vacation club operation in Orlando, FL E• Calculated the economic impact of constructing and operating an extended-stay hotel in Boston, MA E• Calculated the economic impact of constructing and operating an assisted living facility in Walton County, FL N• Calculated the economic impact of manufacturing and constructing residential and commercial steel modular buildings in Lee County, FL E• Calculated the economic impact of a chain of yogurt and juice stores and restaurants in southern Florida 232 63 E• Calculated the economic impact of two mixed-use commercial developments in Orange County, CA. E• Calculated a Targeted Employment Area by census tracts for six counties in the Houston, TX metropolitan area E• Calculated the expansion of new hybrid car manufacturing facility from Mississippi to Tennessee and Virginia. E• Calculated the economic impact of construction and operation of a skilled nursing facility in Las Vegas, NV. N• Calculated the economic impact of construction and operation of a proton cancer treatment center and medical offices buildings in Los Angeles County, CA. E• Determined the economic impact of improving facilities at the Port of Baltimore in order to attract more shipping from the Panama Canal when the locks are widened. N• Calculated the economic impact of a major hotel and resort area in Ft. Lauderdale, FL. N• Calculated the economic impact of building steel homes in South Florida, including the local manufacture of steel fabricated parts. E• Calculated the economic impact of constructing and operating a hotel at Times Square in New York City. N• Calculated the economic impact of a mixed-used residential and commercial project in Atlanta, GA. E• Calculated the economic impact of expanding and opening new restaurants in Dallas, TX. In a separate project, calculated the economic impact of renovating, refurbishing, and operating a boutique hotel in Dallas, TX. E• Calculated the economic impact of building and operating low-income housing in Boston, MA. N• Calculated the economic impact of constructing and operating assisted living facilities in eight rural Texas counties. N• Calculated the economic impact of a mixed-use commercial project in Riverside County, CA. E• Calculated the economic impact of opening a manufacturing plant for "green" motor vehicles in the Detroit, Ml area. 233 64 E• Calculated the economic impact of constructing and operating hotels and restaurants in Columbus, MS. E• Calculated the economic impact of operating restaurants in the Hotel W in Hollywood, CA. N• Calculated the economic impact of a mixed-use commercial project in McCook, IL (suburban Chicago). N• Calculated the economic impact of constructing and operating a water-based amusement facility in San Diego, CA. N• Calculated the economic impact of a mixed-use commercial facility in suburban Cincinnati, OH (project is in KY). E• Calculated the economic impact of constructing and operating a casino, hotel, and restaurant in Las Vegas, NV. N• Calculated the economic impact of a new academic institution for alternative energy in Santa Clarita, CA. N• Calculated the economic impact of several mixed-used projects in San Francisco, Alameda County, Santa Clara County, and Fresno County. N• Calculated the economic impact of a super energy store and solar farm in Riverside County, CA. N• Calculated the economic impact of a prostate cancer treatment center in South Carolina. E• Calculated the economic impact of refurbishing and expanding retail space at the George Washington Bridge in New York City. E• Calculated the economic impact of building Atlantic Yards, new stadium for the New York Nets, in Brooklyn, NY N• Calculated the economic impact of an assisted living center and several mixed-use commercial facilities in the Reno, NV area. E• Calculated the economic impact of buying residential properties at deep discount prices, refurbishing and selling them, in South Florida. N• Calculated the economic impact for a fractional-ownership marina in Port Charlotte, FL, plus office space, retail stores, restaurants, and a home brokerage office. N• Calculated the economic impact of construction and operation of four retirement homes in Vermont. 234 65 E• Calculated the economic impact of an upscale retail shopping center in Vail, CO. and a medical office building in Edwards, CO (both in Eagle County). E• Calculated economic impact of a wind turbine manufacturing plant in Larimer County, CO N• Calculated economic impact of a hotel, retail stores, restaurants, office buildings, and bank facilities in Pasadena, CA N• Calculated economic impact of a luxury hotel and condominiums in Destin, FL N• Calculated economic impact of constructing and operating a mixed-use commercial project in Jupiter, FL E• Determined whether 17 possible restaurant locations in Miami/Dade and Broward Counties qualified as Targeted Employment Areas. E• Determined the economic impact of opening and operating a slot-machine casino in Hanover, MD, as part of a proposed EB-5 regional center for the Baltimore metropolitan area. N· Calculated the economic impact of renovating and expanding a restaurant on Martha's Vineyard, MA, as part of an EB-5 regional center in that state. N• Determined the economic impact of assembling and installing solar panels for residences in the state of LA. E• Determined a Targeted Employment Area for Dallas, TX as part of a proposed EB-5 regional center for the Dallas area. N• Calculated the economic impact for various mixed used projects for a proposed regional center for the entire State of Texas, including shopping centers, office buildings, restaurants, assisted living centers, medical technology facilities, and other personal and business services. N• Calculated the economic impact for the construction and operation of several fastfood restaurants in 10 counties in central California. N• Calculated the economic impact for the renovation and expansion of a shopping mall in Greenville, SC. E• Calculated the economic impact of buying existing apartment buildings at deep discount prices, renovating and operating them, in 21 counties in FL. N• Calculated the economic impact of building and operating an institute for proton cancer therapy for a proposed EB-5 regional center in Brooklyn, NY. 235 66 N• Calculated the economic impact of building and operating a mixed-use facility with medical offices, hotels, and apartments for a proposed EB-5 regional center in Queens, NY. E• Determined a Targeted Employment Area for Philadelphia, PA as part of a proposed EB-5 regional center for the Philadelphia area. N• Calculated the economic impact of a proposed office building and mixed-use facility for an EB-5 regional center in Dallas, Texas N• Calculated the economic impact for various mixed-use projects for a proposed EB-5 regional center in the greater New York City area, including an extended stay hotel, urgent care center, financial lending firm for alternative assets, retail stores, apartments, office space, warehouses, industrial "flex" space, entertainment centers, restaurants, conference and convention centers, nursing home and assisted living facilities, medical offices, medical technology facilities, and high-tech manufacturing. N• Calculated the economic impact of "green" hotels in 10 counties in Central California. N• Calculated the economic impact of generic projects in manufacturing, financial services, health services, hotels, and restaurants for a proposed regional center for the state of Florida. E• Calculated the economic impact of 12 different types of economic activity for an expansion of the Palm Beach Regional Center to five contiguous counties. N• Calculated the economic impact of a new auto parts plant in Alabama to supply parts to Kia automobiles. N• Calculated the economic impact of opening fast-food restaurants in Miami/Dade and Broward counties in FL. N• Calculated the economic impact of a mixed-use commercial center in Flushing, Queens County, NY. E• Calculated the economic impact of revitalizing and renovating part of the Brooklyn Navy Yard for "green" manufacturing facilities. E• Calculated the economic impact of 12 different types of economic activity for various counties in Charlotte and Sarasota counties, FL E• Calculated the economic impact of four new manufacturing and distribution companies in Palm Beach County, FL. N• Calculated the economic impact of developing a resort area and building residences in rural Tennessee. 236 67 N• Calculated the economic impact of developing and operating a resort area in Southern Arizona. N• Calculated the economic impact of revitalizing the depressed East Side of Cleveland, Ohio, with new commercial and industrial buildings. N• Determined the nationwide economic impact of a $1 billion investment in Mississippi for a new hybrid motor vehicle plant. N• Determined the economic impact of expanding a shipyard in Southeastern Louisiana. N• Calculated the economic impact of a new shopping center in Buena Vista, California, and two other generic shopping centers in Los Angeles and San Bernardino counties. E• Calculated the economic impact of enhancing resort areas in eight rural counties in Colorado. N• Calculated the economic impact of the rehabilitation of Fitzsimons Village in Aurora, Colorado, by adding an office building with medical labs, hotel, shopping center, and residences. E• Determined the economic impact of a mixed-use commercial center for the Kansas City metropolitan area. N• Calculated the number of jobs created for a film production company in New York City. N• Calculated economic impact of small-scale rooftop solar panels in various counties in California. N• Calculated economic impact of 7 different types of proposed businesses for a proposed regional center in the Bay Area of California. N• Determined the economic impact of a new biological research park, office building, and logistics center in Wooster, Ohio. E• Calculated the economic effect of a mixed-use urban renewal project in Cleveland, Ohio. N• Calculated economic impact of dairy farm and cheese processing plant in Northern California. 237 68 N• Determined economic impact of a shipyard, food processing plant, and semiconductor plant for a proposed regional center in Louisiana and Mississippi. N• Calculated the economic impact of a new gaming casino in Natchez, Mississippi. N• Developed an Input/output Model for Guam, which was then used to calculate the economic impact of several generic projects. N• Calculated the economic impact of a retail shopping center in suburban Los Angeles County. N• Prepared an economic impact analysis for the "timber to homes" project for a proposed regional center in Colorado. N• Calculated the economic impact for a proposed regional center in Baltimore, Maryland that would include the rebuilding of depressed areas in East Baltimore and along the riverfront. N• Prepared the economic analysis for a proposed EB-5 regional center for the entire state of Florida that included impact calculations for 14 different types of industries. N• Prepared the economic analysis for a proposed EB-5 regional center in the San Francisco Bay area that included calculations for 10 different types of industries. N• Prepared economic impact calculations for proposed EB-5 regional centers in New York City and Northeastern New Jersey. • Calculated the economic impact of a rehabilitated office building in Albuquerque, New Mexico, including the increase in high quality jobs. NEW MARKETS • Calculated the economic impact of a rehabilitated skilled nursing center in East Los Angeles, California, including the impact on nearby census tracts. NEW MARKETS N• Calculated the economic impact of development of warehouse and light industrial manufacturing space in Las Vegas, Nevada. N• Calculated the economic impact of rehabilitation and expansion of a vacation and health spa in Sharon Springs, New York N• Calculated economic impact of revitalizing an old resort hotel and adding new facilities for Lake Geneva, WI. • Calculated the employment and tax effects for a portfolio of projects undertaken under the New Market capital program. NEW .v,,..,.,,", 238 69 E• Calculated generic employment changes for proposed EB-5 project for an Inland Port in Palm Beach County, FL N• Calculated the economic impact of construction of El Monte Village in El Monte, CA. • Calculated the economic impact of moving the Social Security Administration building in Birmingham, AL, and revitalizing the surrounding neighborhood. NEW MARKETS • Calculated the economic impact of rehabbing and expanding the Everett Mall in Everett, WA. MARKETS • Determined the economic impact of building a new medical center in Charleston, SC N• Calculated economic impact of expanding Sugarbush resort in VT. Study included expansion of existing facilities and addition of new facilities. • Calculated economic impact for new market tax credit program in Portsmouth, N.H. Study included both overall economic impact, and the increase in employment and income and the decrease in the unemployment rate and incidence of poverty in individual census tracts. N• Calculated the economic benefits of EB-5 programs for foreign investors for a mixed-use construction project, including a hotel, retail stores, apartments, and a sports stadium in the Washington, D. C. metropolitan area N• Calculated the economic benefits of EB-5 programs for a mixed-used retail shopping center in the New York City metropolitan area. N• Calculated the economic benefits of EB-5 programs for foreign investors for proposed shopping centers in five separate counties in Southern California, including differential impacts of building the shopping centers in different counties. B. Projects for State and Local Governments • Constructed an econometric model for the State of New York and determined the change in employment, labor income, and tax revenues for 43 different tax changes proposed by the Governor's office. • Constructed a detailed econometric model for the State of Pennsylvania to determine the economic impact of the complete panoply of state taxes levied; the model contains over 1,000 equations. In cooperation with American Economics Group, the model was 239 70 developed to simulate the effect of changes in any state tax rate on households and businesses by income deciles, household status, age of individuals, size of households, and many other demographic variables. The change in business taxes can also be simulated for detailed industry classifications. • Determined whether the Washington, D.C. water and sewer authority should accept a high bid for a new waste disposal system. Decision to reject has saved the authority over $200 million, as construction prices turned down sharply as predicted. • Built an econometric model to determine the "tax gap" caused by Internet sales for the state of Minnesota. • Determined appropriate levels of shelter grants individual counties in New York State, and for utility allowances in New York City. Reviewed and prepared testimony in ongoing court cases in these areas. Calculated the economic impact of the revitalization of downtown Milwaukee, Wisconsin. C. Economic Impact of Casino Gaming • Built an econometric model to predict the growth of the gaming industry over the next decade, and the economic impact of that industry on employment and tax revenues at the Federal and state levels. • Estimated the economic impact of Indian casino gaming nationally and for the State of Wisconsin. • Determined the economic impact of the Oneida Indian gaming casino on the Green Bay metropolitan area. • Estimated the negative economic impact on the Milwaukee area if a new Indian gaming casino were to be built in Kenosha, Wisconsin. D. Economic Impact of Smoking Bans and Higher Taxes • Testified on economic impact of smoking bans in Canada; certified as an expert witness by the Court. • Examined the impact of smoking bans on restaurant sales in several different locations in the U.S. to determine how much sales changed when these bans were imposed, and the differential effects depending on whether these bans were partial or total. 240 71 • Determined the cross-border effects on retail sales from differential rates in cigarette, gasoline, and alcohol excise taxes Determined the economic impact of higher cigarette taxes on minority group employment. • Estimated the economic impact and loss of Federal and state tax revenues when higher cigarette prices lead to increased smuggling. E. Consulting Projects for Travel and Tourism • Built an econometric model to predict tourism trips and revenues for the major regions of the U.S. economy. • Constructed econometric models to predict tourism in Las Vegas and Orlando. • Using the IMPLAN model, predicted economic impact of tourism and travel expenditures for all counties in Pennsylvania. F. Other Private Sector Consulting Projects Calculated the revenue gain at the Federal, state and local level generated by domestic manufacturing of Airbus parts and equipment. • Calculated the economic impact of proposed EPA bans on fluoropolymer production. • Estimated the size and economic importance of the fluoropolymer industry, and calculated economic impact of shutting down domestic production. • Built an econometric model to examine how U.S. tax and regulatory policies help determine whether the gold mining industry would invest in the U.S. or other countries. Testified before Congress to help defeat legislation inimical to the mining industry. • Built an econometric model to predict consumer bankruptcies, based on recent growth in consumer credit outstanding, the overall economic environment, and recent changes in credit regulations • Estimated the economic impact of the ethanol subsidy on the U.S. economy and Farm Belt States, including the impact on the balance of payments, employment, and tax receipts. Testified before Congress to help pass legislation to extent subsidies to the ethanol industry. 241 72 • Built an econometric model to determine the impact of updating and improving the system of locks on the Upper Mississippi River on corn prices and exports, farm income, and the overall economy. BOOKS PUBLISHED Macroeconomics for Managers, Blackwell, 2003 Practical Business Forecasting, Blackwell, 2002 Economic Impact of the Demand for Ethanol, Diane Publishing Company, 1998 How to Make Your Shrinking Salary Support You in Style for the Rest of Your Life, Random House, 1991 The Truth About Supply-Side Economics. Basic Books, 1983. A Supply-Side Model of the U. S. Economy, mimeo (prepared for Senate Finance Committee), 1980. An Econometric Model of the French Economy: O.E.C.D, March 1969. A Short-Term Forecasting Model. Econometric Gaming (with L. R. Klein and M. J. Hartley). Random House, 1969. Macroeconomic Activity: Theory, Forecasting and Control. Harper & Row, 1969. The Wharton Econometric Forecasting Model (with L.R. Klein), Economics Research Unit, Wharton School: University of Pennsylvania Press, 1967. Enlarged edition, 1968. Over 30 articles in major academic journals and publications (list on request) 242 1-924 Application- US Immigration Fund-NJ Response to RFE RCW 1236250925 DOCUMENT Architect's Soft Construction Cost Budget for 88 Morgan Street Project TAB No. 5. 243 3/1/2013 Kushner Companies 65 Bay Street I 88 Morgan Street, Jersey City HPA#l3046 (b)(4) Programming/Entitlement Phase Schematic Design Design Development Construction Documents Bid/Permitting Phase Architectural Sub Total Fee (Residential Tower) CA Phase MEP approx Structural approx Civil Jurisdictional Site Planning Construction Documents Project Meetings Construction Phase Services Approximate fees listed below for additional services: Landscape Interiors Acoustical Telecom Accessibility Consultant Waterprooting Lobby/Club/Fitness (assume 5,000 sq. ft.) Curtain wall consultant Total Fees *Fees arc based on the terms of our AlA B101 master agreement Parking and Tower is a replica of the Trump JC that is on same site. Fees based on the trump high rise architectural cad drawings (all CD elevations, parking garage and CD details) to be reutilized for the new rental apartment tower. Full release will be given from original architect to use plans. approx. 417 units with up to 5 new unit types per common floor and 5 alternate floor plans in different locations, common area and amenities. 5,000 Square ft. of Retail. Grace Jones and Walter Hughes are assigned to this project and are the primary contacts. *For reimbursable expenses, the amount expended by the Architect will be billed pertaining to the Project as follows: A. Expense of transportation and living when traveling in connection with the Project, long distance calls, fax transmissions, and permit fees at a multiple of 1.0 times the amount expended. Personal plane travel will not be charged only comparable commercial fares. B. The expense of all reproductions including but not limited to, prints, photo copies, mylars, photo negatives, etc., as may be required in the normal preparation of documents, as well as CADD plots, postage, supplies, handling and delivery fees of all information between the Owner, the Architect, and various consultants or interested parties at a multiple of 1.0 times the amount expended. Additional Services may be required if program change by ownership, additional services must be approved prior to billing 244 j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j 33371~J 333712 j FOSTERQUAN, LLP t 1 R OP.n~rtment of Homeland Security DHS3 j 3 ... ;UAN, LLP 'r' U. S. Department of Homeland Security YOUR INVOICE NUMBER 27223 · 272231 SHS j DHS3 i 333712 CHECK NO: DISCOUNT TAKEN AMOUNT PAID INVOICE DATE j 12/18/12 j 1-924 Mastroianni, Nicolas 410523. 00000034/IAD/shs/ajb j j (b)(4) j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j j 245 j 600 Travis Street Suite 2000 Houston. TX 77002 713.229.8733 office 713.228.1303 fax www.fosterquan.com December 20, 2012 Ms. Rosemary Melville Director California Service Center U.S. Citizenship & Immigration Services Attn: EB-5 Processing Unit 24000 Avila Road, 2nd Floor Laguna Niguel, CA 92677 Via Federal Express Re: Form I-924 Application EB-5 Regional Center Designation Project Name: U.S. Immigration Fund- NJ Applicant: U.S. Immigration Fund- NJ, LLC URGENT EXPEDITED PROCESSING REQUESTED TO ATTRACT INVESTMENT TO THE NEW JERSEY SHORE AREA DEVASTED BY HURRICANE SANDY Dear Ms. Melville: We are hereby submitting the I-924 Application for Regional Center by U.S. Immigration Fund - NJ, LLC, to obtain initial designation by U.S. Citizenship & Immigration Services ("USCIS") for the US. Immigration Fund NJ. The application is comprised of: I. Filing Fee Check in the Amount of$6,230 for Form 1-924; 2. Form 1-924 Application for EB-5 Regional Center, duly executed; 3. Form G-28 Notice of Entry of Appearance as Attorney, duly executed; 4. This letter (pages 1 through and including 22), and 5. An Index, and attached Exhibits numbered 1 through and including 27. (collectively, the "Application"). Page I of22 246 The Application contains confidential commercial information, pursuant to 5 U.S.C. Sec. 552(b)(4). Thus, the applicant requests pre-disclosure notification per Presidential Executive Order No. 12,600, 52 Federal Register 2371 (June 23, 1987), as to all information and evidence submitted as part of this Application. 1. Expedited Processing Request Expedited Processing Request: We are submitting this Application with an urgent request for Expedited Processing due to the need to attract investment to the areas devastated by Superstorm Sandy in the events surrounding its landfall in New Jersey on October 29, 2012. The Territory of the Regional Center (as defined below), includes precisely the northern Jersey Shore area severely impacted by Superstorm Sandy in Hudson County, Ocean County, Essex County and Middlesex County. We enclose a Memorandum at Exhibit 23 that details the reason why this Application falls squarely within the USCIS requirements for Expedited Processing, supported by ample evidence at Exhibits 24, 25 and 26 from Federal and State governments, and publicly available media sources, showing the urgent need for over $30 billion in new investment into New Jersey and Hudson County, Ocean County, Essex County and Middlesex County, to rebuild after the devastation of Superstorm Sandy on the New Jersey Shore area. 2. The Applicant: U.S. Immigration Fund- NJ, LLC U.S. Immigration Fund-NJ, LLC is a limited liability company newly organized under the laws of the State of Florida on December 7, 2012 ("USIF-NJ" or the "Company''). We enclose at Exhibit 1 a copy of the Articles of Formation of the Company registered with the Secretary of State for New Jersey on December 7, 2012. The Company was formed to conduct any lawful business, and in particular, to own, manage and operate a designated Regional Center under the EB-5 Regional Center Pilot Program 1 named the US. Immigration Fund- NJ ("Regional Center") We enclose in Exhibit 2 a copy of the Minutes of the Action of the Sole Member of the Company in Lieu of Organization meeting dated December 7, 2011 ("Minutes"). The key matters adopted in the Minutes included: adoption of the Company Agreement, and adoption of the form of the Certificate of Membership Interest. The Minutes were signed by the Sole Member, U.S. Immigration Fund, LLC ("USIF''). 1 Immigration & Nationality Act (INA), Section 203(b )(5); Appropriations Act ( 1993), Section 610. Page 2 of22 247 As of today, the ownership of the issued and outstanding membership interests in the Company is set out in the Table below: ' Member Name 3. ber Certificate No. Geographic Territory of the Regional Center The Regional Center's geographic jurisdiction will be comprised of the contiguous territory of the following Counties in the State ofNew Jersey: Bergen County; Essex County; Hudson County; Middlesex County; Monmouth County; Passaic County; Union County, and Morris County (collectively, the "Territory"). The perimeter of the geographic jurisdiction of the Regional Center is constituted by the uninterrupted outer boundary of the above-mentioned Counties in New Jersey. We enclose maps outlining the Ten·itory in Exhibit 5. The above-mentioned Counties collectively constitute parts of the New York Northern New Jersey Long Island Metropolitan Statistical Area, as defined by the U.S. Census Bureau. The Territory includes the cities of Jersey City, Newark, Hoboken and Elizabeth, in New Jersey, as well as many towns along the Jersey Shore such as Union Beach, Highlands, Monmouth Beach and Ocean Township. The Territory of the Regional Center is linked by proximity, economic integration and commuting patterns of its labor force. This is confinned by the Economic Analysis attached at Exhibit 22. Page 4 of22 248 4. Management of U.S. Immigration Fund- FL Management of Structure ofthe Regional Center In Exhibit 6 we enclose a diagram of the corporate structure of the Regional Center. The Company is managed by one Managing Member, USIF. USIF is 100% owned and controlled by I I Principal is the Managing Member of I I (b)(4) By letter dated December 7, 2012, attached in Exhibit 8, USIF confirmed that Principal is the representative ofUSIF as the Managing Member the Company. The Company encloses a detailed Operations Plan at Exhibit 12, which provides a description of the management structure, management personnel and processes that will be applied in project development for the Regional Center. Management Team As stated in the Operations Plan, USIF is the Managing Member of the Company and will manage daily operations of the Regional Center. USIF employs an experienced team of professionals who have the expertise and experience necessary to make the Regional Center a great success. The areas of expertise and operating capability include: real estate development, finance, marketing, legal and accounting. USIF will charge a fee for its services to the Company. The Company will pay for the services delivered by USIF from revenue from the Management Fees described below. As the Company grows, additional capability will be added to the Company. USIF' s team of managers and professionals provide similar services to two (2) other EB-5 regional centers owned or operated by Principal: Florida Regional Center (RCW 319-10194 I Unique I.D. # 1031910194), and U.S. Immigration Fund NY. Thus, they are a management team very experienced in the EB-5 program and in real estate development. Page 5 of22 249 The following are key managers and professionals of USIF who will contribute their time and know-how to the launch and continuing operations of the Regional Center: Name Title Nicholas A. Mastroianni, II / Manager & Principal David Finkelstein Chief Financial Officer Mark Giresi General Counsel / Nicholas A. Mastroianni, Ill / IVIaii\Clll I!) Sandy Albanese Investor Relations Manager Biographies of the key managers stated above are enclosed in the Operations Plan enclosed at Exhibit 12. This team of key managers and professionals has successfully taken real estate development projects from start-to-finish. They have turned ideas into designs and plans; negotiated the contracts required for a project; raised the financing; completed construction, and then brought the project into operations. The key managers will collectively review new investment projects for the Regional Center, using analysis of market data; launch budget estimate; cash flow projections, financial and contract terms, and incorporating the where appropriate the analysis and advice of the Regional Center's outside advisors. Once a project is considered viable for the Regional Center, job creation estimates will be obtained from the economic consultant for the Regional Center, and final project structure will be determined. Project documents, such a private placement memorandum, will be developed with the assistance of outside corporate and immigration counsel. If the project presents novel issues, the Regional Center may avail itself of the opportunity to present to US CIS of an exemplar I-526 petition. USIF will retain the services of additional staff as needed to meet the needs of the Regional Center. All potential new Regional Center team members will be required to have the proper background, experience and education to fill their roles. In addition to the team of managers and professionals that work for USIF, the Regional Center will hire highly qualified outside advisors to assist them in the design, application and operation of the Regional Center (as described in the Operations Plan): Lead Securities Law Counsel. Attorney Andrew Kingston will be the lead Securities Law counsel to the Regional Center. Andrew Kingston has over 15 years of Page 6 of22 250 experience in public and private offerings of securities and has successfully advised EB-.S regional centers on previous private securities offerings. Economic Analyst. The Regional Center will use the services of Evans, Carroll & Associates as economic analysts for its job creating projects. Evans, Carroll & Associates has prepared hundreds of successful economic impact analyses for EB-5 regional center projects throughout the United States. Michael Evans, Ph.D., will be the lead economist for the Regional Center. Lead Immigration Counsel. FosterQuan, LLP, an experienced immigration law firm with extensive experience in EB-5 projects. The expertise of experienced EB-5 attorneys will ensure compliance with USCIS rules and standards in the content of deal structuring; 1-526 visa petitions, and 1-829 petitions on behalf of the Regional Center. The lead attorney for FosterQuan, LLP will be Ignacio A. Donoso, Esq. (b)(4) Banking Services. The Regional Center will utilize thel [or all escrow banking services of the Regional Center (or a similarly reputable bank such as ._I_ __ . Premises. The operations for the Regional Center will be conducted from its corporate offices located in 1295 U.S. Highway One, Suite 300, North Palm Beach, Florida 33408, and Telephone (561) 799-1883. The offices of the EB-5 Regional Center are located on the main offices ofUSIF, which is providing these offices and personnel as part of the Management Fee to the Regional Center. 5. (b)(4) Start-up Capital and Operations Financial Projections of Regional Center The enclosed Operations Plan describes the start-up capital that has been and is being dedicated to the development and launch of operations of the Regional Center (see Exhibit 12). The start-up budget of expenses of the Regional Center was approximately I ltrom the start of the project until the I-924 application was filed. Thes~e expenses, include, without limitation: the legal formation of the Company (U.S. Immigration Fund- NJ, LLC) and its necessary corporate entities; economic consulting services related to the economic impact of the Regional Center's first projects; negotiation of required contracts, and preparing of an application to USCIS for approval as a Designated Regional Center under the EB-5 Pilot Program. The start-up capital of the Regional Center was provided (and is being provided) by the Principal, directly, or indirectly through his company, USIF. Page 7 of22 251 (b)(4) The Regional Center is being provided with cash on-hand by USIF to support the operations of the Regional Center during its initial launch period. The amount of ...__.....~as been committed by USIF to the Company to be used in the future to pay for expenses including: initial marketing of the Regional Center; design of a web-page; further legal advice on securities issues and immigration issues, and hiring attorneys and economists to prepare the final set of investment documents for the Regional Center's first two projects. USIF executed a financial commitment letter dated December 7, 2012, which is enclosed at Exhibit 8. This letter serves to confirm the financial commitment of USIF to the Company and the Regional Center project, and confirms its significant cash resources of over I Ito the development, launch and operation of the Regional Center. Exhibit 13 includes a copy of the bank account statement of the operating checking account of USIF confirming a recent balance of ovei We also enclosed sample invoices paid by USIF for the launch of the Regional Center in Exhibit 13. Thus, the start-up capital and financial commitment of USIF will be sufficient to launch operations and see the project through to fruition over the coming years. The Regional Center therefore has sufficient financing already to pay for its launch costs, and consequently is not relying on financing from the Administrative Fee paid by EB-5 Investors in its Projects, or the Management Fee, to pay for the expenses of initiating operations. (b)(4) I Revenue Projections The Operations Plan at Exhibit 12 includes the financial projections and budget expenditures of the Regional Center, which are reproduced below. Revenue projections (b)(4) tor the proJected proJects. Based on this timetable and the assumptions described below, the Operating Budget and Cash Flow Projections for the Regional Center are as follows: Page 8 of22 252 (b)(4) Budget & Cash Flow Projections- USIF-NJ for FY2013 (From Operations Plan) Operating Budget and Cash Flow Projection Assumptions: i. An application fee payable from the Developer is estimated at approximately lPer project. ii. A Management Fee o0ofthe Loan per annum is estimated for the each project, payable quarterly while the loans are outstanding. 111. From the Administrative Fee that each foreign investor pays (not from their capital investment), a Processing Fee otl lwill be paid to the Regional Center. IV. The fees for the services ofUSIF are not projected to be paid until the first 1-526 is filed, estimated to occur in the 2nd quarter of2013 v. The premises of the Company are being provided by USIF as part of the management services provided by USIF in its capacity as Sole Member (b)(4) I Page 9 of22 253 (b)(4) I and Manager. The rent expense is projected at ~er month commencing in the 2nd quarter of2013 and will be paid from the revenue generated by either Project application fees or funding support from USIF. The sharing of space with other affiliated companies of Nicholas A. Mastroianni II will keep office expenses to a minimum. v1. All expense line items are increased byOannually. vii. New projects are expected to begin development during 2014~ hence, the stream of cash flow to support the Regional Center is expected to continue for many years to come. In the following example, one new project, the 88 Morgan Street Project, with 110 EB-5 Investors is forecast for the calendar year commencing January I, 2014. The same fee structure as in the current projects was used for the projected projects. ** Jn beginning period represents expenses paid from 7/1112 for RC ._I_ _. . formation. (b)(4) Investor Administrative Fees. Revenues will, in part, be generated by assessing an Administrative Fee equal to ~ayable by each EB-5 Investor at the time of their subscription for an investment in one of the Regional Center's projects. The Administrative Fee will be in addition to each EB-5 Investor's capital investment of $500,000 or $1,000,000, depending on the TEA designation of each project. The Administrative Fee may change in the future depending on market conditions. I (b)(4) Management Fee. The Management Fee charged by the Regional Center to the New Commercial Enterprise (sometimes referred to herein as an "Entity") of each project will bel ter annum of the total principal amount outstanding under the Loan from time to time, cumulative but not compounded, payable quarterly while the Loan is outstanding. ("Management Fee"). The Management Fee will be charged by the Regional Center directly or through the General Partner of the Entity, which will be a company affiliated with USIF and the Principal's group of companies. In the St. Lucie Project, the General Partner is U.S. Immigration Funds GP- Santa Lucia, LLC. In the Via Mizner Project, the General Partner is Florida Regional Center, LLC. The Management Fee will only be paid from profits of the Entity and not from the EB-5 Investor's Capital Contribution: no EB-5 Investor Capital Contribution will be used to pay the Management Fee. Page 10 of22 254 By letters dated December 7, 2012, USIF and Principal confirm to USCIS that the Capital Contribution paid by EB-5 Investor will only be used to pay for capital investment activities of the job-creating project sponsored by the Regional Center (See Exhibit 13). In conclusion, the Regional Center will be managed as a "well-capitalized" company. The operating revenue projections set out above are considered by USIF to be conservative based on the anticipated activity level. USIF will identify future regional projects and these will continue to fund the Company and the Regional Center into the future. 6. Economic Sectors of the U.S. Immigration Fund - NJ NAICSCodes The Regional Center's investment in new projects will focus in the following industries and economic sectors, which are described according to the North American Industry Classification System codes and titles (collectively, the "Industry Categories"): Industry Name I Commercial and Institutional Real Estate Construction i NAICSCode 2362 Residential Real Estate Construction 2361 Lessors of Real Estate 53111 Architectural, Engineering & Related Services 5413 The Industry Categories derive from the two sample projects of the Regional Center, which are described in the Business Plan. The 88 Morgan Street Project Business Plan is attached at Exhibit 19. The Industries Categories are designated and applied in the Economic Analysis that determines the economic impact of each Project. The 88 Morgan Street Project's Economic Analysis is attached at Exhibit 20. 7. Standard Project Structure for Regional Center As described in the enclosed Operations Plan, the organizational methodology and structure of the Regional Center will be to use newly organized New Jersey Limited Liability Companies (or, on occasion, a new limited partnership) to pool capital from EB5 Investors in exchange for an equity ownership of said Limited Liability Company. Such Page II of22 255 Limited Liability Company will be referred to herein as an "Entity". Please see the Diagram of the Regional Center enclosed at Exhibit 6. The Company will form a new Entity under New Jersey law for each new project promoted under the Regional Center. USIF will participate as Manager of each Entity, either directly or through a wholly-owned subsidiary company whose sole purpose is to serve as Manager to a specific project's Entity. We enclose a Sample Limited Liability Company Agreement for the project Entity for the 88 Morgan Street Project at Exhibit 19. EB-5 Investors will contribute capital directly into one Entity, which will be an active for-profit enterprise. The Entity will invest the funds from EB-5 Investors in their entirety into a job creating project by executing for-profit commercial loan facilities to a real estate developer, which will constitute the job creating entity for the project. Where commercial loans are used by the Regional Center, each such loan will have a term of not less than five (5) years from the date of investment, in conformity with USCIS guidance. A sample of tem1s for a loan facility under the Regional Center is found in Exhibit 22 hereto. This structure is intended to ensure the stability of the Company as the main regional center vehicle for the Regional Center. It is also intended to ensure highly qualified and consistent management of the project entities used by the Company for each project. 8. Investment Process for EB-5 Investors Subscription Documents EB-5 Investors will be delivered the following documents to review, analyze and, where appropriate, execute to complete an investment in the Entity sponsored by the Regional Center, samples of which are attached as Exhibits hereto: Sample SubscdPtfb~ P~flt Investor Suitability Evaluation: 14 Subscription Agreement: 15 Escrow Agreement: 16 Limited Liability Agreement of the 88 Morgan Street Project: 17 Sample of Offering Memorandum for 88 Morgan Street Project: 18 Collectively, the sample documents set out at Exhibits 14, 15, 16, 17 and 18 will be referred to collectively as the "Subscription Documents". Page 12 of22 256 These documents are submitted as samples of the forms of the future documents that will be completed and executed by the EB-5 Investor and the Entity (i.e., the new commercial enterprise). Some of the Subscription Documents may form part of the Offering Memorandum. In Exhibit 21 we enclose a Sample Flow Chart of how potential EB-5 Investors will be considered for a investment in an Entity. At-Risk Investments All of the Subscription Documents confirm that the Capital Contribution of the EB-5 Investor is entirely at-risk, and that the investment involves a business venture with risk of profit or loss. Moreover, the Regional Center is careful not to offer a guarantee to potential EB-5 Investors that the investment will be profitable, that their capital will be returned in whole or in part, or that an immigration benefit will necessarily be obtained through an investment in the Regional Center. For example, in the Sample Offering Memorandum for the 88 Morgan Street Project, the Subscription Agreement, provides, at Section 6.1 O(ii): (b)(4) Similar warnings are included in the Risk Factors set out in Sample Offering Memorandum of the 88 Morgan Street Project. For example, in the Summary of Offering Tetms, at Page 6 of the Sample Offering Memorandum, it reads: (b)(4) Page 13 of22 257 The Sample Offering Memorandum describes the complete discussion of risks of the investment in Section XIII. Escrow The practice of the Regional Center will be to use unique escrow bank accounts owned by the Entity opened for each investment project. The escrow bank accounts will be opened at land managed by NES Financial (or another similarly reputable bank such k'Escrow Agent"). See Sample Escrow Agreement of the Regional Center at Exhibit 16. I a4 (b)(4) Under the terms of the Sample Escrow Agreement,l I Page 14 of22 258 Investment Procedure and Background Due Diligence on Investors (b)(4) The investment procedure for the Regional Center are set out in the Operations Plan. We summarize investment procedures: Books, Records and Annual Reporting Duties ofRegional Centers As described in the enclosed Operations Plan (Exhibit 12), the Regional Center will implement procedures that will provide it with sufficient information and recordkeeping to maintain compliance with USCIS annual reporting duties for EB-5 Regional Centers. The invested funds for each Entity will be accounted for separately and tracked in a transparent fashion which will permit an independent auditor to verify at any time that the funds are being expended for capital improvements and development, not for fees and expenses. Further, the Regional Center is aware of the USC IS annual reporting requirements set out in Form I-924A and accompanying USCIS instructions. This information has been in the enclosed Operations Plan enclosed in Exhibit 12. The procedures, records and controls set out above will permit the Regional Center to comply with USCIS annual reporting obligations. Page 15 of22 259 9. Description of First Project of the Regional Center The Regional Center will undertake real estate development projects by raising local capital and combining it with capital raised from EB-5 Investors. The Application includes one (1) sample project that is expected to be initial project promoted by the Regional Center. This project is enclosed as a sample project, and is not being submitted as an Exemplar 1-526 at this time: The business plan of the initial sample project of the Regional Center is attached at Exhibit 21. Investments made through projects developed by the Regional Center will increase foreign investment in the Territory; foster economic development, and generate employment growth locally and nationally. Summary ofProject I - 88 Morgan Street Project We provide a short summary of the 88 Morgan Street Project for your convenience, obtained from the enclosed Business Plan at Exhibit 21. (b)(4) al The 88 Morgan Street Project is ldollar capital investment project to build a new 50 story luxury rental apartment building, consisting of 417 rental apartments, 217 parking spaces, and approximately 4,000 sq.ft. of retail space adjacent to Trump Plaza I. The USIF will be administering and sponsoring a capital investment project to attract IEB-5 Investors who are each investing 1 ..__....,. (total of up td Iin the new company, 88 Morgan Street Funding, LLC ("Funding Company"). The Funding Company is the "New Commercial Enterprise'' that is organized to be in compliance with the USCIS EB-5 Pilot Program. The Funding Company will make a secured EB-5 loan (the "Loan") of all of the proceeds of each of the Qualified Investor'sl fnvestment in the Funding Company to 88 Morgan Street, LLC (the "Developer") in accordance with the EB-5 Pilot Program's guidelines. I (b)(4) The Developer will use the proceeds of the Loan for the construction of a mixeduse real estate development project known as the 88 Morgan Street Project to be located at 88 Morgan Street in Jersey City, New Jersey. The 88 Morgan Street Project is located in the most convenient location in New Jersey for access to Manhattan, residing directly in the middle of three PATH hubs, and just minutes away from the ferry and the Holland Tunnel (the "Property"), within the Territory of the USIF. Page 16 of22 260 The cost to construct the 88 Morgan Street Project is budgeted to be._l_ _ _ __. comprised of the following: Hard Construction Costs Soft Construction Costs Land Purchase, (b)(4) TOTAL BUDGETED COSTS The source of funds to complete the construction is summarized as follows: Owner's Equity Senior Construction Loan EB-5 Funds (Loan) TOTAL FUNDING The proceeds of the Loan will be used for construction of the Project and the creation of jobs in accordance with this Business Plan and the Economic Report discussed below. The economic job creation analysis of the 88 Morgan Street Project is enclosed at Exhibit 20. The Economic Analysis establishes that the 88 Morgan Street Project will create a sufficient number of new jobs so that each EB-5 Investor can be credited with creating at least 10 new full-time jobs through their investment. 10. Economic Methodology and Targeted Employment Areas Job Creation Methodology All projects accepted by the Regional Center will involve direct and /or indirect and induced job creation in the Territory of the Regional Center. Indirect and induced job creation will be determined using RIMS II input-output methodology to estimate the number of jobs created as a consequence of investments by EB-5 investors. RIMS II is a proven statistical and econometric method. RIMS II is widely used by both governmental and private sector entities. RIMS II offerings the ability to estimate Page 17 of22 261 job creation outcomes based on input parameters including capital investment, revenue generation, location and type of industry. Targeted Employment Areas As stated in the enclosed Operations Plan, the Regional Center's investment projects will be usually be located in geographic areas or political subdivisions that qualify as a Targeted Employment Area under 8 C.F.R. Section 204.6(e) (i.e., constitute either a rural area or an area of high unemployment under applicable EB-5 regulations), in which case the minimum amount of EB-5 capital necessary to make a qualifying investment in a Targeted Employment Area within the United States is five hundred thousand dollars (US$500,000) per EB-5 investor. As such, the planning of Regional Center investment projects will usually assume that EB-5 Investors each contribute the amount of $500,000 as a Minimum Capital Contribution. Occasionally, the Regional Center may develop an investment project that does not qualify as Targeted Employment Areas under 8 C.F.R. Section 204.6(e), in which case the Minimum Capital Contribution required of each EB-5 Investor will be no less than US$1 ,000,000 per EB-5 investor. All determinations that an investment will be located in a Targeted Employment Area will be supported at the time that the EB-5 Investor's I-526 visa petition is filed by detailed, transparent and reproducible economic evidence. According to USCIS Memorandum from Donald Neufeld, Acting Associate Director, to the Field Leadership dated December 9, 2009, HQ 70/6.2 ("12/2009 Neufeld Memo"), USCIS makes its determination of whether a geographic area or political subdivision qualifies as a Targeted Employment Area on the date an investor files an 1-526 visa petition and not at the time that the I-924 Application for Regional Center is filed. The Regional Center may use Targeted Employment Area determinations made by State-approved government entities under 8 C.F.R. Section 204.6(i). Economic Analysis of 88 Morgan Street Project The economic analysis for the first project of the Regional Center - the 88 Morgan Street Project was prepared by Michael Evans, Ph.D., of Evans, Carroll & Associates and is enclosed at Exhibit 20, (each, the "Economic Analysis"). The Economic Analysis applies RIMS II economic methodology using final demand employment multipliers that analyze the employment creation impact of investment projects in the Territory where investment is made in the Industry Categories. Page I8 of22 262 Under USCIS guidance, the Economic Analysis uses direct, indirect and induced job creation estimates using final demand employment multipliers only. No Tenant-Occupancy Issue (b)(4) The Regional Center has developed Economic Analysis which conforms to USCIS policy guidance on Tenant-Occupancy issued on February 17, 2012 and May 8, 2012. The Economic Analysis of the 88 Morgan Street Project is designed to avoid the Tenant-Occupancy issues that may arise. The manner in which the Tenant-Occupancy issue is avoided in the Economic Analysis is set out below. Project Capital and Job Creation Requirements According to the Business Plan and the Economic Analysis, the 88 Morgan Street Project requires the following amount of capital (based on US$500,000 Minimum Capital Contributions), numbers ofEB-5 Investors, and new job creation: ·· '·l··l l'>,lyrou!t:!lf~ln~e~!'?rs·tm&x.} ,,,,;·,;.·,·k' '~ , ~ ~ i:M (~("k<~·~<·~,q;/":~ ' i'<<:ti<<.::«<<«'«<<'/f/ t;lj~}~J~;§~i~t::;;; (b)(4) Page 19 of22 263 The Economic Analysis of the job creation impact of the 88 Morgan Street Project is set out fully in Exhibit 20, and a summary of which from Section 2 (Page 4) thereof reproduce below for your convenience: (b)(4) (b)(4) Table A of 88 Morgan Street Project Economic Analysis The Economic Analysis of the 88 Morgan Street Project establishes that it will cre~new full-time direct, indirect and induced jobs. This i<:Jobs more than theL_j new jobs required to satisfy the job creation requirement of the maximum number ofEB-5 Investors in the 88 Morgan Street Project (an excess o Q The Economic Analysis of the job creation impact of the 88 Morgan Street Project contains detailed analysis of how the projects will increase key metrics of the regional economy. We reproduce below the Summary of Economic Impact Measures (Table C) for the regional economy for each project: [intentionally left blank] Page 20 of22 264 (b)(4) Table C. Summary Measures of Economic Impact for Construction and Rental income of 88 Mon!an Street Aoartment Buildim.! These significant positive effects for the Regional Center's first project will help overcome severe limitations to access to credit experienced on a national level in the United States due to the banking crisis of 2008~ 2009, 2010 and which is still on-going. Thus, Regional Center will serve to: (a) promote investment in the industries targeted by the Regional Center, and (b) contribute to building new facilities that will have a significant positive impact on job creation in the Territory. 11. Conclusion Based on the foregoing, we are convinced that the Regional Center will substantially benefit the Territory. It will create much needed jobs and attract capital investment to the Regional Center's Territory. Page 21 of22 265 Therefore, we respectfully request that USCIS favorably adjudicate this application. Should you have any questions, please do not hesitate to contact immigration counsel for this matter, Ignacio A. Donoso, Partner of FosterQuan LLP (idonoso@fosterquan.com), by telephone at (713) 229-8733, by fax at (713) 228-1303. Sincerely yours, lADiey Enclosures (See attached Exhibits) Page 22 of22 266 U"-~-NJ DOCUMENT Revised Economic Analysis prepared by Evans, Carroll & Associates for the 88 Morgan Street Project dated Aprilll, 2013. Response to NOID TAB No. 4. 267 1 Economic Impact of Developing a Luxury Apartment Building Located in Jersey City, NJ, for the US Immigration Fund, LLC and its New EB-5 Regional Center in Northern New Jersey Prepared for: The U. S. Immigration Fund Prepared by: Michael K. Evans Evans, Carroll & Associates, Inc. 2785 NW 26th St. Boca Raton, FL 33434 561-470-9035 mevans@evanscarrollecon.com Apri111, 2013 268 2 Table of Contents 1. Executive Summary 3 2. Tabulation of Principal Results 4 3. Introduction and Scope of Work 8 4. Brief Introduction to the RIMS II Model and its Multipliers 9 5. Methodology for Calculating Indirect Jobs 12 6. Economic Parameters for 8 Counties in New Jersey 17 7. Location of Hotel, Maps of Area, and TEA Analysis 32 8. Economic Impact of Construction Activity 36 9. Economic Impact of Rental Income 45 10. Summary Statistics for Entire Project 51 Appendix: Resume of Dr. Michael K. Evans 53 269 3 1. Executive Summary • The U.S. Immigration Fund, LLC plans to open a new EB-5 regional center in northern New Jersey. The first project will be a luxury apartment building located at 88 Morgan Street in Jersey City, NJ. The building will have 417 apartment units, 214 parking spaces, and about 4,000 square feet of retail space. • The economic impact results are calculated using the RIMS II inpuUoutput model for the following 8 counties in New Jersey: Hudson, Essex, Union, Bergan, Passaic, Morris, Monmouth, and Middlesex. These counties are chosen based on commuting patterns, as explained later in this report. (b)(4) 270 4 2. Tabulation of Principal Results Table A shows the annual revenue, the final demand multiplier, and the total number of jobs created by the construction and o erations of the apartment building. Since the construction will take more than e economic impact figures for the hard construction costs and appropriate so cos s mclude direct as well as indirect and induced jobs. All figures are permanent jobs. Table A. Summary of Employment and Revenue Estimates (b)(4) Table 81 shows the NAICS codes for each type of economic activity. descriptions are taken from: The 1Jttp;ft.WWW..:G~O$.!J.$~gQy{ggi:PiD/$.$§<;i/nr:iiG$/!J9iG?IGO?Gh9.It=.:4.Ql2 Table 81. NAICS Codes for Each Type of Activity 2361 Residential Building Construction 2362 Nonresidential Building Construction 4232 Furniture and Home Furnishing Merchant Wholesalers 4234 Professional and Commercial Equipment and Supplies Merchant Wholesalers 4236 Household Appliances and Electrical and Electronic Goods Merchant Wholesalers 53111 Lessors of Residential Buildings and Dwellings 5413 Architectural, Engineering, and Related Services Table B-2 shows the print screen of all the RIMS II multipliers used in this study. Please note that for purchases of FF&E, the multiplier used is the wholesale trade multiplier excluding direct jobs, calculated as I I (b)(4) 271 5 Table 82. Print Screen of Multipliers {3) (1) (2) (4) (5) (6) 230000 Construction 420000 Wholesale trade 2.0346 0.5600 11.77391.1005 1.80511.9882 1.8451 0.4707 8.4173 1.18911.8173 2.4393 531000 Real estate 541300 Architectural, engineering, and related services 1.4670 0.2244 13.2613 1.0810 1.9496 1.2985 1.9921 0.5483 10.2148 1.2297 1.8728 2.5874 Region Definition Bergen, NJ; Essex, NJ; Hudson, NJ; Middlesex, NJ: Monmouth, NJ; Morris, NJ; Passaic, NJ; Union, NJ 'Includes Government enterprises. i. Each entry in column 1 represents the total dollar change in output thai occurs in all industries for each additional dollar of output delivered to final demand by the industry corresponding to the entry. 2. Each entry in column 2 represents the total dollar change in earnings of households employed by all industri&s for each additional dollar of output delivered to final demand by the industry corresponding to the entry. 3. Each entry in column 3 represents the total change in number of jobs that occurs in a!ltndustries for each additional1 million doOars of output delivered to final demand by the industry corresponding to the entry. Because the employment multlplrers are based on 2008 data, the output delivered to final demand should be in 2008 dollars. 4. Each entry in column 4 represents the total dollar change in value added that occurs m all industries for each additional dollar of output delivered lo final demand by the industry corresponding to the entry. 5. Each entry in column 5 represents the total dollar change in earnings of households employed by all tndustries for each additional dollar of earnings paid directly to households employed by the industry corresponding to the entry. 6. Each entry IIi column 6 represents the total change in number of jObs in aft industries for each additional job m the industry corresponding to !he entry. NOTE.--Multipliers are based on the 2002 Benchmark Input-Output Table lor the Nation and 2008 regional data. Industry List A identifies the industries corresponding to the entries. SOURCE.-Regionallnput-Output Modeling System (RIMS II), Regional Product Division, Bureau of Economic Analysis. Table C shows the annual level of household income, and the output for utilities, maintenance and repair construction, manufacturing output, and professional and business support services for the construction and operation of the 88 Morgan Street apartment building. (b)(4) Table C. Summary Measures of Economic Impact for Construction and Rental income of 88 Morgan Street Apartment Building 272 6 Household Earnings (Labor Income) (b)(4) The jobs created by the project subsequently create new sources of household income. The household income created within there ional center by the construction of the 88 Morgan Street apartment buildin is about with another I I I ltrom the purchases of FF&E and rom architectural and engineering services. Household income would also rise about from the rental income of the apartments, for a total of about f____.. The details used to calculate these figures are given throughout the report. Separate tables are provided for the total number of jobs created, the average earnings per new worker, and the total increase in earnings for construction and operation of the hotel. In each case, the RIMS II inpuUoutput model has been used to calculate the number of jobs in each major industrial classification, the average earnings per employee, and hence total earnings. The number of jobs by industrial classification is based on calculations imbedded in the RIMS II model for each of the activities as summarized in Table A and documented in detail throughout this report. Demand for Business Services, Utilities, Maintenance and Construction, and New SupplierNendor Relationships Created with Manufacturers (b)(4) The total economic impact of the regional center from the supplier purchases and business relationships for the construction and operation of the hotel will create approximately I I in additional economic activity across the region for the project These suppher purchases are calculated from the indirect increase in output generated by the RIMS II model. It should be noted that some of these supplier industries might potentially locate within the regional center, and their economic output is included in this total. The estimate of supplier purchases is based on the commodity data in the RIMS II input-output model. This data specifies the amount and type of commodity input needed to maintain specific types of business operations. The model estimates the supplier purchases based on the types of jobs and number of jobs that will be created within the regional center. In addition, the model allocates the supplier purchases to businesses within the region, based on trade flow data from the U.S. Bureau of Economic Analysis. Utilities include services such as electricity, natural gas, and water and sewer facilities. The economic impact on utility services total about I lrespectively. Most of this represents the use of utilities by occupants of the apartments. (b)(4) 273 7 Maintenance and repair services include some building and construction activity on existing buildings. The regional center would create an economic impact of about I I These expenditures represent permanent, ongoing maintenance on the buildmgs after they are completed; they do not reflect the initial construction costs. New supplier/vendor relationships with manufacturers would create an economic impact of about Most of this output represents purchases of locally produced materials and parts for the construction of the building; some of these expenditures are the purchase of locally produced supplies for the hotel. I (b)(4) I The regional center will also create demand for various types of business services, including professional and scientific services, management of companies, administrative services, and buildin su ort and waste management services. The impact of this activity totals abou Most of this represents payments to architects and engineers for the cons rue 1on activities; it also includes outsourcing of professional service activities for operating the hotel, such as lawyers and accountants. The figures given in Table C represent only a brief summary of the detailed calculations that have been undertaken and are reported in tabular format throughout the report. The figure for utility output, for example, represents the sum of utility output for each of the categories of economic activity listed in Table A. For repair and maintenance construction office, this figure represents the amount spent times he input/output coefficient showing the total amount of output per I lof construction expenditures. The same methodology applies to all the other figures given in Table C. Detailed figures may be found in the tables in Sections (8) and (9), which provide estimates of indirect jobs by industry category. 274 8 3. Introduction and Scope of Work The U.S. Immigration Fund, LLC plans to open a new EB-5 regional center in northern New Jersey. The first project will be a luxury apartment building located at 88 Morgan Street in Jersey City, NJ. The building will have 417 apartment units, 214 parking spaces, and about 4,000 square feet of retail space. This report contains the economic impact results for the construction of the building and apartment rentals, based on the RIMS II input/output model for the following 8 counties in New Jersey: Hudson, Essex, Union, Bergan, Passaic, Morris, Monmouth, and Middlesex. Section (4) contains a brief description of the RIMS II models and its various multipliers, and Section (5) contains additional information explaining how the indirect jobs are calculated. Section (6) contains and analyzes the key statistics for the sixcounty area used to calculate the RIMS II multipliers. Tables 6-1, 6-2, 6-3 and 6-4 show the data for employment by major occupation and industrial classification, income distribution by deciles, mean and median household and family income, and poverty rates for the eight counties used to calculate the multipliers for this study, and compares these figures to the U.S. totals or averages. Table 6-5 shows key labor market statistics over the past decade for the State of New Jersey, each of these counties, and the 8-county total. Tables 6-6 and 6-7 show the level and growth rate of population and personal income for these same areas. Table 6-8 shows the commuting patterns for Hudson County, and explains how these figures are used to determine the counties included in the multiplier analysis. Section (7) contains a map of the location of the building and maps of the area. Section (8) presents the economic impact tables for the hard construction costs, EB-5 eligible soft construction costs, and purchases of FF&E. Separate sets of tables are presented for each category of construction for the increase in employment, output, and earnings, and the average level of output and earnings per new worker, for the 20 major industrial classifications in the RIMS II input/output model. Section (9) discusses the number of jobs and revenue estimates for the rental income from the apartments, retail space, and parking, and presents similar tables for the detailed industry results. Section (10) summarizes the RIMS II model results. 275 9 4. Brief Guide to RIMS II Input/Output Model The following material has been condensed from the RIMS II User Handbook. Introduction and General Comments Effective planning for public- and private-sector projects and programs at the State and local levels requires a systematic analysis of the economic impacts of these projects and programs on affected regions. In turn, systematic analysis of economic impacts must account for the inter-industry relationships within regions because these relationships largely determine how regional economies are likely to respond to project and program changes. Thus, regional input-output (1-0) multipliers, which account for inter-industry relationships within regions, are useful tools for conducting regional economic impact analysis. In the 1970s, the Bureau of Economic Analysis (BEA) developed a method for estimating regional 1-0 multipliers known as RIMS (Regional Industrial Multiplier System), which was based on the work of Garnick and Drake. In the 1980s, BEA completed an enhancement of RIMS, known as RIMS II (Regional Input-Output Modeling System), and. published a handbook for RIMS II users. In 1992, BEA published a second edition of the handbook in which the multipliers were based on more recent data and improved methodology. In 1997, BEA published a third edition of the handbook that provides more detail on the use of the multipliers and the data sources and methods for estimating them. RIMS II is based on an accounting framework called an 1-0 table. For each industry, an 1-0 table shows the industrial distribution of inputs purchased and outputs sold. A typical 1-0 table in RIMS II is derived mainly from two data sources: BEA's national 1-0 table, which shows the input and output structure of nearly 500 U.S. industries, and BEA's regional economic accounts, which are used to adjust the national 1-0 table to show a region's industrial structure and trading patterns. Using RIMS II for impact analysis has several advantages. RIMS II multipliers can be estimated for any region composed of one or more counties and for any industry, or group of industries, in the national 1-0 table. The accessibility of the main data sources for RIMS II keeps the cost of estimating regional multipliers relatively low. Empirical tests show that estimates based on relatively expensive surveys and RIMS 11based estimates are similar in magnitude. BEA's RIMS multipliers can be a cost-effective way for analysts to estimate the economic impacts of changes in a regional economy. However, it is important to keep in mind that, like all economic impact models, RIMS provides approximate order-ofmagnitude estimates of impacts. RIMS multipliers are best suited for estimating the impacts of small changes on a regional economy. For some applications, users may want to supplement RIMS estimates with information they gather from the region undergoing the potential change. To use the multipliers for impact analysis effectively, 276 10 users must provide geographically and industrially detailed information on the initial changes in output, earnings, or employment that are associated with the project or program under study. The multipliers can then be used to estimate the total impact of the project or program on regional output, earnings, and employment. RIMS II is widely used in both the public and private sector. In the public sector, for example, the Department of Defense uses RIMS II to estimate the regional impacts of military base closings. State transportation departments use RIMS II to estimate the regional impacts of airport construction and expansion. In the private-sector, analysts and consultants use RIMS II to estimate the regional impacts of a variety of projects, such as the development of shopping malls and sports stadiums. RIMS II Methodology RIMS II uses BEA's benchmark and annual 1-0 tables for the nation. Since a particular region may not contain all the industries found at the national level, some direct input requirements cannot be supplied by that region's industries. Input requirements that are not produced in a study region are identified using BEA's regional economic accounts. The RIMS II method for estimating regional 1-0 multipliers can be viewed as a three-step process. In the first step, the producer portion of the national 1-0 table is made region-specific by using six-digit NAICS location quotients (LQs). The LQs estimate the extent to which input requirements are supplied by firms within the region. RIMS II uses LQs based on two types of data: BEA's personal income data (by place of residence) are used to calculate LQs in the service industries; and BEA's wage-andsalary data (by place of work) are used to calculate LOs in the non-service industries. In the second step, the household row and the household column from the national 1-0 table are made region-specific. The household row coefficients, which are derived from the value-added row of the national 1-0 table, are adjusted to reflect regional earnings leakages resulting from individuals working in the region but residing outside the region. The household column coefficients, which are based on the personal consumption expenditure column of the national 1-0 table, are adjusted to account for regional consumption leakages stemming from personal taxes and savings. In the last step, the Leontief inversion approach is used to estimate multipliers. This inversion approach produces output, earnings, and employment multipliers, which can be used to trace the impacts of changes in final demand on and indirectly affected industries. Advantages of RIMS II There are numerous advantages to using RIMS II. First, the accessibility of the main data sources makes it possible to estimate regional multipliers without conducting relatively expensive surveys. Second, the level of industrial detail used in RIMS II helps avoid aggregation errors, which often occur when industries are combined. Third, RIMS II multipliers can be compared across areas because they are based on a consistent set 277 11 of estimating procedures nationwide. Fourth, RIMS II multipliers are updated to reflect the most recent local-area wage-and-salary and personal income data. Overview of Different Multipliers RIMS II provides users with five types of multipliers: final demand multipliers for output, for earnings, and for employment; and direct-effect multipliers for earnings and for employment. These multipliers measure the economic impact of a change in final demand, in earnings, or in employment on a region's economy. The final demand multipliers for output are the basic multipliers from which all other RIMS II multipliers are derived. In this table, each column entry indicates the change in output in each row industry that results from a $1 change in final demand in the column industry. The impact on each row industry is calculated by multiplying the final demand change in the column industry by the multiplier for each row. The total impact on regional output is calculated by multiplying the final demand change in the column industry by the sum of all the multipliers for each row except the household row. RIMS II provides two types of multipliers for estimating the impacts of changes on earnings: final demand multipliers and direct effect multipliers. These multipliers are derived from the table of final demand output multipliers. The final demand multipliers for earnings can be used if data on final demand changes are available. In the final demand earnings multiplier table, each column entry indicates the change in earnings in each row industry that results from a $1 change in final demand in the column industry. The impact on each row industry is calculated by multiplying the final demand change in the column industry by the multipliers for each row. The total impact on regional earnings is calculated by multiplying the final demand change in the column industry by the sum of the multipliers for each row. Employment Multipliers (b)(4) RIMS II provides two types of multipliers for estimating the impacts of changes on employment: final demand multipliers and direct effect multipliers. These multipliers are derived from the table of final demand output multipliers. The final demand multipliers for employment can be used if the data on final demand changes are available. In the final demand employment multiplier table, each column entry indicates the change in employment in each row industry that results from aI lchange in final demand in the column industry. The impact on each row industry is calculated by multiplying the final demand change in the column industry by the multiplier for each row. The total impact on regional employment is calculated by multiplying the final demand change in the column industry by the sum of the multipliers for each row. 278 12 The direct effect multipliers for employment can be used if the data on the initial changes in employment by industry are available. In the direct effect employment multiplier table, each entry indicates the total change in employment in the region that results from a change of one job in the row industry. The total impact on regional employment is calculated by multiplying the initial change in employment in the row industry by the multiplier for the row. Choosing a Multiplier The choice of multiplier for estimating the impact of a project on output, earnings, and employment depends on the availability of estimates of the initial changes in final demand, earnings, and employment. If the estimates of the initial changes in all three measures are available, the RIMS II user can select any of the RIMS II multipliers. In theory, all the impact estimates should be consistent. If the available estimates are limited to initial changes in final demand, the user can select a final demand multiplier for impact estimation. If the available estimates are limited to initial changes in earnings or employment, the user can select a direct effect multiplier. 5. Methodology for Calculating Indirect Job Gains In spite of the explanation of the RIMS II model given directly above, some USCIS adjudicators have asked for further clarification about how that model is used to determine the increase in the number of indirect jobs. That is an important issue because, unlike the direct job count, which can be verified by USCIS from various payroll and withholding documents, the calculation of indirect jobs cannot be verified directly but depends on mathematical calculations. The general concept is based on the coefficients in the input/output model itself (the same methodology applies to RIMS II, IMPLAN, or any other generally recognized and accepted input/output model). In any given year, the government calculates how much input is used for a given production of output. The detailed figures are taken from the Economic Censuses taken once every five years; the figures are then updated from various annual supplements. Basically the process has two steps, each of which is described next in greater detail. The first is to determine the amount of output, and hence the number of jobs, required to produce a given amount (say $1 million) of the final product or service. These are national coefficients. The second is to determine what proportion of those goods and services are purchased within the local region (the regional purchase coefficients, or RPCs). In the case of a manufacturing process, the national coefficients are based on production functions: how much coke per ton of steel, how much steel per motor vehicle, how much flour for a loaf of bread, and so on. However, most of the jobs are 279 13 created in the service sector, where Commerce Department data are used to determine, for example, how much restaurants spend on laundry services, how much airlines spend for attorneys, and so on. These figures are based on information contained in the various Economic Censuses. The national coefficients would also determine, for example, how many architects and engineers would be hired for a construction project of a given scope and size, and how many new employees at financial institutions would be required to handle the additional cash flow generated by the new business. Both of these are discussed below in greater detail. Even after these coefficients are determined, however, the regional purchase coefficients (RPC) must still be estimated. If, for example, a trucking firm spends 1% of its revenue on accountants, how much of that money is spent on local firms, and how much is spent outside the region? That answer depends on various factors. The most important is the amount of the good or service produced within the region. If a trucking firm, for example, were located in a small county with no accountants, obviously it would not spend any of that money locally. That sets a lower limit but is not generally the case. Instead, a balancing algorithm is used. Suppose, for example, that all the firms producing, distributing, or selling goods and services in a given county spent $10 million on accounting services. Also, suppose that total billings of all accountants in the county were $20 million. In that case, local accountants could handle all the local business, plus business from neighboring counties. If, on the other hand, total accountant billings in the county were only $5 million, local firms could not spend more than half of the money on local accountants. Of course it is possible that there are adequate resources in the county but local firms choose to use companies outside the county; perhaps prices or service is better. No input/output model can account for such anomalies. On the other hand, given transportation costs, it would be highly unusual for a firm to be located in a given location and not serve the nearby businesses, instead choosing only those clients who (b)(4) were farther away. The RIMS II model- and other regional input/output models- assigns regional purchase coefficients (RPCs) in all cases where the local industry purchases goods and services from local firms. This matrix could have as many asl....__~~~-~...... elements, although in practice many of them are zero. Large counties with a wide variety of businesses have more non-zero elements than small counties with relatively few businesses. In general, the RPCs tend to be close to zero for most manufactured goods, and close to unity for most services. While there are many exceptions to this rule, most firms will use financial, professional, business, and health care services that are located in that county or contiguous areas. 280 14 To take just one example of many, consider the number of new jobs created by architects and engineers for a new construction project of any given size. Most construction cost manuals, such as those published by R. S. Means, indicate that those costs are usually about 5% to 9% of the total job. According to the national input/output file, the figures are 9.2% for commercial construction and 4.5% for industrial construction. These figures can be compared with the proportions of architects and engineers in the specific regional area, based on the RIMS II data that are used to determine the economic multipliers in the specific county group. For this 8-county group, the input/output model shows proportions of 8.4% for commercial and 4.3% for industrial construction, indicating that 91% of the architects and engineers for commercial jobs and 95% for industrial jobs are hired locally. These figures are fairly typical of other locations and regions; except for "signature" buildings designed by famous names, most architects and engineers live in the same region as the buildings that are being constructed. To summarize to this point, the number of indirect jobs as a proportion of direct jobs depends on (a) the national relationships, and (b) the regional purchase coefficients. In our presentation for the businesses in this report, we provide further discussion of those industries with the largest number of indirect jobs. However, there are a few industries that produce relatively large numbers of jobs in almost all cases, and these can be generally discussed at this stage in order to avoid repeating this information several times. The industries discussed here include banking, real estate, legal and accounting, architects and engineers, other professional services, employment services, other business services, restaurants, and government. In all of these cases, the vast majority of workers are hired locally. Our comments for the rest of this section are based on the assumption of a $10 million investment; the results are linear. Banking and credit: On an aggregate basis, for every $10 million in deposits, very broadly defined (M3), there is about 1 new banking employee. As a rough rule of thumb, the size of M3 is roughly equal to the size of GDP. Hence we would expect about 1 new banking employee for every $10 million increase in output, as calculated from the RIMS II model. Real estate: Additional real estate employees are based on two factors. One is the leasing activity of the new building, and the other is the increase in residential real estate activity as people get new jobs, either within the area or by moving into the area. On a lease basis, a $10 million investment is likely to result in a building of 80,000 square feet. If it leases fort:::)uare foot, that would be $3.2 million in annual lease (b)(4) payments, and with a 6% commission would generate $192,000 in revenues, which would account for about 2 new real estate employees (the figure would be less for industrial buildings). The increase in employment would also result in some real estate activity as workers moved into better housing in the same location, or moved in from other areas. In a normal year, there are about 7 million sales of new and existing homes for a labor force of about 140 rnJlllac, or 5%. Hence if the total increase in employment werel that would impiYL_Jeal estate transactions; if they average 281 (b)(4) 15 $200,000 at a 6% commission, that would be $12,000 per home or a total of $120,000, which would support approximately 1 new real estate job. Legal & Accounting: Each of~ accounts for about 1% of total employment; so if there were a total increase ofLJbs, we would expect an average ooew employees in this classification. Architects & Engineers: almost all of these jobs stem from the new construction activity. This category has already been discussed above; for a $10 million construction project, which would create about ~ew construction jobs, we would expect aboutO new jobs in architects and enginee~r a commercial project andc::Jew jobs for an industrial project. Other professional services: This category includes employees in consulting, scientific research and development, advertising, and management, as well as several other smaller, specialized categories. In general, consulting, management, and the all other category each account for about 1% of total employment, and R&D and advertising account for about Y2% of total employment, for a total of about 4% of total employment. This figure will vary widely depending on the degree to which consultants and R&D are used by the new business. Employment services: On a national average basis, 1 out of every 45 people is employed by this industry. Here again, the figures will vary widely depending on (a) the proportion of people who are hired through employment agencies, and (b) the proportion of the work that is outsourced to employment services. Business support services include office management, travel arrangement, security, credit bureaus, telemarketing, and back-office jobs that are outsourced, such as direct mail, copying, and duplicating services. The back-office services would vary widely depending on the type of new business; retail stores, for example, would print and distribute more advertising brochures than a manufacturing operation. On a national average basis, these jobs account for about 2% of total employment. Building support services, which includes janitorial services, lawn maintenance, and waste management. For an office building of 80,000 square feet, the cost would be approximately $2/sq ft per year for maintenance, or $160,000, which would support about new jobs; here again, the figure would be lower for industrial buildings. ~estaurants: This category reflects business meals. Of course the number of business meals depends greatly on the type of business; lawyers, accountants, and consultants will have more business meals than manufacturing plants or water treatment facilities. On a national average basis, Commerce Department figures show that total restaurant sales in 2007 were $580 billion, while consumer expenditures at restaurants were $500 billion. However, that figure also includes tips, which are not included in restaurant sales. After subtracting 15% for tips, that indicates about $425 billion in food and beverage purchases by consumers, indicating about $155 billion for business expenses. With a labor force o~ximately 140 million, that is equivalent to about $1,100 per employee. Hence ifJ.__Jew jobs were created, business meal (b)(4) 282 16 expenses would rise an average of $221 ,000, which would imply about 4.5 new indirect jobs in the restaurant industry. These figures are likely to be somewhat higher when direct jobs are created for office buildings and hotels. Government: The increase in public sector employees represents the amount funded by increased real estate taxes. For a construction project with $10 million in hard costs, the total value is likely to be between $15 and $20 million when one includes furniture, fixtures, equipment, and land values. Using a national aver~erty tax rate of 1%, that would raise $150,000 to $200,000, which would createL__j1ew jobs in the public sector. (b)(4) 283 17 6. Economic Parameters for Hudson, Essex, Union, Bergen, Passaic, Morris, Middlesex, and Monmouth Counties This section is organized as follows. Tables 6~1, 6~2, 6-3 and 6~4 show the data for employment by major occupation and industrial classification, income distribution by deciles, mean and median household and family income, and poverty rates for the eight counties used to calculate the multipliers for this study, and compares these figures to the U.S. totals or averages. Table 6~5 shows key labor market statistics over the past decade for the State of New Jersey, each of these counties, and the 8-county total. Tables 6-6 and 6~ 7 show the level and growth rate of population and personal income for these same areas. Table 6~8 shows the commuting patterns for Hudson County, and explains how these figures are used to determine the counties included in the multiplier analysis. Table 6-1. Key Economic Statistics for Hudson and Counties Compared to the U. S. Economy, 2010 Data Essex % Hudson % u.s. % 612,565 400,523 344,146 56,377 247 211,795 100.0% 65.4% 65.4% 56.2% 9.2% 0.0% 34.6% 520,559 359,487 359,408 312,480 46,928 79 161,072 100.0% 69.1% 69.0% 60.0% 9.0% 0.0% 30.9% 2010 243,832,923 156,966,769 155,917,013 139,033,928 16,883,085 1,049,756 86,866,154 100.0% 64.4% 63.9% 57.0% 6.9% 0.4% 35.6% OCCUPATION Civilian employed population 16+ Management & professional Service occupations Sales and office occupations Construction, maintenance, repair Production & transportation 344,146 128,336 70,110 83,284 24,850 37,566 100.0% 37.3% 20.4% 24.2% 7.2% 10.9% 312,480 118,514 54,500 75,993 22,231 41,242 100.0% 37.9% 17.4% 24.3% 7.1% 13.2% 139,033,928 49,975,620 25,059,153 34,711,455 12,697,304 16,590,396 100.0% 35.9% 18.0% 25.0% 9.1% 11.9% INDUSTRY Civilian employed population 16+ Agriculture & mining Construction Manufacturing Wholesale trade Retail trade Transportation & utilities Information Finance, insurance, & real estate Professional & administrative Educational services & health care Arts, entertain, hotel, food svcs 344,146 839 19,412 21,063 8,192 33,180 24,477 11,875 31,756 44,064 89,318 25,779 100.0% 0.2% 5.6% 6.1% 2.4% 9.6% 7.1% 3.5% 9.2% 12.8% 26.0% 7.5% 312,480 88 17,452 25,036 12,919 31,641 24,887 10,909 34,463 42,737 60,295 23,187 100.0% 0.0% 5.6% 8.0% 4.1% 10.1% 8.0% 3.5% 11.0% 13.7% 19.3% 7.4% 139,033,928 2,646,975 8,686,813 14,439,691 ' 3,941,066 16,203,408 6,843,579 3,015,521 9,275,465 14,710,089 32,311,107 12,859,572 100.0% 1.9% 6.2% 10.4% 2.8% 11.7% 4.9% 2.2% 6.7% 10.6% 23.2% 9.2% Category EMPLOYMENT STATUS Population 16 years and over In labor force Civilian labor force Employed Unemployed Armed Forces Not in labor force 400,770 284 18 Other private services Public administration INCOME AND BENEFITS Total households Less than $10,000 $10,000 to $14,999 $15,000 to $24,999 $25,000 to $34,999 $35,000 to $49,999 $50,000 to $74,999 $75,000 to $99,999 $100,000 to $149,999 $150,000 to $199,999 $200,000 or more Median household income (dollars) Mean household income (dollars) Families Less than $10,000 r---$10,000 to $14,999 $15,000 to $24,999 $25,000 to $34,999 $35,000 to $49,999 $50,000 to $74,999 $75,000 to $99,999 $100,000 to $149,999 $150,000 to $199,999 $200,000 or more Median family income (dollars) Mean family income (dollars) Per capita income (dollars) 17,380 16,811 5.1% 4.9% 16,461 12,405 5.3% 4.0% 6,913,449 7,187,193 5.0% 5.2% 275,417 100.0% 28,243 10.3% 6.0% 16,478 28,288 10.3% 25,719 9.3% 32,635 11.8% 44,176 16.0% 31,262 11.4% 32,280 11.7% 14,778 5.4% 21,558 7.8% 52,394 104.7% 80,167 117.4% 238,692 19,411 14,462 24,152 20,533 29,768 44,776 26,814 31,304 11,757 15,715 54,817 76,339 100.0% 8.1% 6.1% 10.1% 8.6% 12.5% 18.8% 11.2% 13.1% 4.9% 6.6% 109.5% 111.8% 114,567,419 8,757,190 6,668,865 13,165,380 12,323,322 16,312,385 20,940,859 13,526,500 13,544,839 4,809,998 4,518,081 50,046 68,259 100.0% 7.6% 5.8% 11.5% 10.8% 14.2% 18.3% 11.8% 11.8% 4.2% 3.9% 175,731 100.0% 12,211 6.9% 6,627 3.8% 15,282 8.7% 15,561 8.9% 19,250 11.0% 26,811 15.3% 21,661 12.3% 25,935 14.8% 13,439 7.6% 18,954 10.8% 66,439 109.6% 97,237 122.6% 29,674 113.9% 147,709 8,382 7,409 14,311 12,795 20,209 27,360 16,708 21,969 8,032 10,534 57,978 81,559 29,798 100.0% 5.7% 5.0% 9.7% 8.7% 13.7% 18.5% 11.3% 14.9% 5.4% 7.1% 95.7% 102.8% 114.3% 76,089,045 3,824,251 2,660,781 6,770,812 7,332,318 10,578,051 14,990,631 10,638,931 11,261,766 4,130,868 3,900,636 60,609 79,338 26,059 100.0% 5.0% 3.5% 8.9% 9.6% 13.9% 19.7% 14.0% 14.8% 5.4% 5.1% Median earnings for workers Median earnings for male full-time Median earnings for female full-time 32,961 49,597 41,317 114.1% 106.7% 113.0% 35,677 50,563 41,173 123.5% 108.7% 112.6% 28,899 46,500 36,551 PERCENTAGE BELOW POVERTY LEVEL All families All people 13.9% 16.7% 123.0% 109.2% 13.7% 16.5% 121.2% 107.8% 11.3% 15.3% Please note that in these tables, the percentage figures in regular type refer to the overall category in that column, while the figures in red are relative to the U.S. average figures The income distributions in Essex and Hudson Counties can best be described as "fat-tailed", with greater than average percentages in the highest and lowest income brackets. To elaborate, 11% of families in each of the two counties earn less than $15,000 a year, compared to 8% nationally- while 11% of Essex families and 7% of Hudson families earn $200,000 or more, compared to 5% for the U.S. This dichotomy can also be seen in the high mean household incomes ($80K in Essex and $76K in 285 19 Hudson, versus $68K for the U.S.) and large share of families living in poverty (14% in each county, versus 11% for the nation). Turning to the occupation data, both counties have lower than average shares in manufacturing as well as the arts, entertainment, hotel, and food service industries and higher than average shares in transportation and finance. The counties differ in the mix of workers in the education and health care industries, as Essex (26%) has a higher proportion than average and Hudson has a lower proportion at 19% - the smallest of the five counties. Table 6-2. Key Economic Statistics for Union and Bergen Counties Compared to the U.S. Economy Category Union % Bergen % EMPLOYMENT STATUS u.s. % 2010 420,828 100.0% 727,196 100.0% 243,832,923 100.0% 291,604 69.3% 478,944 65.9% 156,966,769 64.4% 291,560 69.3% 478,892 65.9% 155,917,013 63.9% 255,497 60.7% 438,302 60.3% 139,033,928 57.0% 36,063 8.6% 40,590 5.6% 16,883,085 6.9% 0.0% 52 0.0% 1,049,756 0.4% 129,224 30.7% 248,252 34.1% 86,866,154 35.6% 255,497 100.0% 438,302 100.0% 139,033,928 100.0% Management & professional 90,913 35.6% 201,513 46.0% 49,975,620 35.9% Service occupations 43,165 16.9% 55,159 12.6% 25,059,153 18.0% Sales and office occupations 62,273 24.4% 114,453 26.1% 34,711,455 25.0% Construction, maintenance, repair 22,283 8.7% 28,908 6.6% 12,697,304 9.1% Production & transportation 36,863 14.4% 38,269 8.7% 16,590,396 11.9% 255,497 100.0% 438,302 100.0% 139,033,928 100.0% 0.1% 919 0.2% 2,646,975 1.9% 6.9% 24,897 5.7% 8,686,813 6.2% 9.1% 14,439,691 10.4% Population 16 years and over In labor force Civilian labor force Employed Unemployed Armed Forces Not in labor force 44 OCCUPATION Civilian employed population 16+ INDUSTRY Civilian employed population 16+ Agriculture & mining Construction 177 17,557 Manufacturing 24,870 9.7% 40,015 Wholesale trade 10,869 4.3% 19,216 4.4% 3,941,066 2.8% Retail trade 25,990 10.2%. 47,458 10.8% 16,203,408 11.7% Transportation & utilities 18,211 7.1% 22,703 5.2% 6,843,579 4.9% 7,394 2.9% 16,169 3.7% 3,015,521 2.2% Information 286 20 Finance, insurance, & real estate Professional & administrative 21,793 29,021 8.5% 45,159 10.3% 9,275,465 6.7% 11.4% 58,730 13.4% 14,710,089 10.6% 22.6% 32,311,107 23.2% Educational services & health care 53,596 21.0% 99,084 Arts, entertain, hotel, food svcs 19,342 7.6% 28,699 6.5% 12,859,572 9.2% Other private services 13,531 5.3% 20,540 4.7% 6,913,449 5.0% Public administration 13,146 5.1% 14,713 3.4% 7,187,193 5.2% 183,882 100.0% 333,002 100.0% 114,567,419 100.0% 5.8% 15,136 4.5% 8,757,190 7.6% 3.3% 12,370 3.7% 6,668,865 5.8% 7.4% 13,165,380 11.5% INCOME AND BENEFITS Total households Less than $10,000 $10,000 to $14,999 10,740 6,138 $15,000 to $24,999 15,300 8.3% 24,587 $25,000 to $34,999 14,321 7.8% 23,753 7.1% 12,323,322 10.8% $35,000 to $49,999 23,549 12.8% 33,430 10.0% 16,312,385 14.2% $50,000 to $74,999 31,943 17.4% 53,157 16.0% 20,940,859 18.3% $75,000 to $99,999 21,678 11.8% 40,999 12.3% 13,526,500 11.8% $100,000 to $149,999 31,378 17.1% 56,634 17.0% 13,544,839 11.8% $150,000 to $199,999 11,796 6.4% 34,456 10.3% 4,809,998 4.2% 9.3% 38,480 11.6% 4,518,081 3.9% 133.2% 77,389 154.6% 50,046 94,659 138.7% 105,488 154.5% 68,259 131,811 100.0% 236,574 100.0% 76,089,045 100.0% Less than $10,000 6,001 4.6% 6,237 2.6% 3,824,251 5.0% $10,000 to $14,999 2,973 2.3% 4,959 2.1% 2,660,781 3.5% $15,000 to $24,999 8,903 6.8% 11,365 4.8% 6,770,812 8.9% $25,000 to $34,999 8,224 6.2% 12,914 5.5% 7,332,318 9.6% 11.7% 19,255 8.1% 10,578,051 13.9% 17.6% 36,079 15.3% 14,990,631 19.7% 12.0% 29,860 12.6% 10,638,931 14.0% 19.4% 49,242 20.8% 11,261,766 14.8% 7.9% 31,650 13.4% 4,130,868 5.4% 11.6% 35,013 14.8% 3,900,636 5.1% 127.6% 97,394 160.7% 60,609 107,812 135.9% 123,384 155.5% 79,338 Per capita income (dollars) 33,267 127.7% 39,409 151.2% 26,059 Median earnings for workers 35,214 121.9% 44,350 153.5% 28,899 Median earnings for male full-time 51,195 110.1'% 63,074 135.6% 46,500 Median earnings for female full-time 43,496 119.0% 51,103 139.8% 36,551 $200,000 or more Median household income (dollars) Mean household income (dollars) Families $35,000 to $49,999 $50,000 to $74,999 $75,000 to $99,999 $100,000 to $149,999 $150,000 to $199,999 $200,000 or more Median family income (dollars) Mean family income (dollars) 17,039 66,665 15,365 23,157 15,838 25,630 10,400 15,320 77,361 ·-····· 287 21 PERCENTAGE BELOW POVERTY LEVEL All families All people 8.70% 11.10% 77.0% 5.6% 49.6% 11.30% 72.5% 6.8% 44.4% 15.30% Union County is mixed, with many high-income suburban areas but also lowincome areas by the railroad tracks. As a result it has a high proportion of households and families at the upper end of the income scale, but almost a proportional amount at the lower end of the scale. As a result, while the median and mean income levels are above average and the poverty levels are below average, these figures are smaller than would be expected from a typical suburban county, and well below Bergen County. By comparison, Bergen County has about three times the national average in the top income bracket, and only about half in the bottom bracket. As a result, median family income for Union County is 128% of the national average, while the figure for Bergen County is 161% of the average. Similarly, the poverty rate for all families is 77% of the national average for Union County, but only 50% for Bergen County. In terms of employment distribution by occupation, both counties have a fairly robust manufacturing base, only slightly below the national average. Most of the other sectors are also close to those averages, with slightly higher proportions for financial and professional services. Table 6-3. Key Economic Statistics for Morris and Passaic Counties Compared to the U.S. Economy Category Morris % Passaic % EMPLOYMENT STATUS u.s. % 2010 389,318 100.0% 392,154 100.0% 243,832,923 100.0% 265,835 68.3% 251,834 64.2% 156,966,769 64.4% 265,835 68.3% 251,834 64.2% 155,917,013 63.9% 242,762 62.4% 223,928 57.1% 139,033,928 57.0% Unemployed 23,073 5.9% 27,906 7.1% 16,883,085 6.9% Armed Forces 0 0.0% 0 0.0% 1,049,756 0.4% 123,483 31.7% 140,320 35.8% 86,866,154 35.6% 242,762 100.0% 223,928 100.0% 139,033,928 100.0% 117,011 48.2% 72,732 32.5% 49,975,620 35.9% Service occupations 31,488 13.0% 41,066 18.3% 25,059,153 18.0% Sales and office occupations 61,530 25.3% 55,173 24.6% 34,711,455 25.0% Construction, maintenance, repair 13,971 5.8% 15,773 7.0% 12,697,304 9.1% Production & transportation 18,762 7.7% 39,184 17.5% 16,590,396 11.9% Population 16 years and over In labor force Civilian labor force Employed Not in labor force OCCUPATION Civilian employed population 16+ Management & professional 288 22 INDUSTRY 242,762 100.0% 605 Construction Manufacturing 223,928 100.0% 139,033,928 100.0% 0.2% 106 0.0% 2,646,975 1.9% 13,025 5.4% 12,406 5.5% 8,686,813 6.2% 29,462 12.1% 30,737 13.7% 14,439,691 10.4% 8,531 3.5% 9,361 4.2% 3,941,066 2.8% Retail trade 24,489 10.1% 27,233 12.2% 16,203,408 11.7% Transportation & utilities 11,615 4.8% 10,168 4.5% 6,843,579 4.9% Information 10,352 4.3% 5,816 2.6% 3,015,521 2.2% Finance, insurance, & real estate 26,164 10.8% 17,055 7.6% 9,275,465 6.7% Professional & administrative 33,295 13.7% 25,463 11.4% 14,710,089 10.6% Educational services & health care 55,177 22.7% 50,431 22.5% 32,311,107 23.2% Arts, entertain, hotel, food svcs 12,728 5.2% 16,915 7.6% 12,859,572 9.2% Other private services 8,589 3.5% 11,461 5.1% 6,913,449 5.0% Public administration 8,730 3.6% 6,776 3.0% 7,187,193 5.2% Total households 177,786 100.0% 161,527 100.0% 114567,419 100.0% Less than $10,000 5,141 2.9% 14,538 9.0% 8,757,190 7.6% $10,000 to $14,999 3,562 2.0% 7,604 4.7% 6,668,865 5.8% $15,000 to $24,999 10,598 6.0% 17,286 10.7% 13,165,380 11.5% $25,000 to $34,999 10,446 5.9% 17,003 10.5% 12,323,322 10.8% $35,000 to $49,999 15,265 8.6% 19,142 11.9% 16,312,385 14.2% $50,000 to ~~74,999 27,277 15.3% 26,057 16.1% 20,940,859 18.3% $75,000 to ~~99,999 25,266 14.2% 17,637 10.9% 13,526,500 11.8% $100,000 to $149,999 33,587 18.9% 24)27 14.9% 13,544,839 11.8% $150,000 to $199,999 20,542 11.6% 10,658 6.6% 4,809,998 4.2% $200,000 or more 26,102 14.7% 7,475 4.6% 4,518,081 3.9% Median household income (dollars) 91,469 182.8'}{, 53,993 107.9% 50,046 121,784 178.4% 73,618 107.9% 68,259 128,754 100.0% 113,041 100.0% 76,089,045 100.0% Less than $10,000 1,983 1.5% 7,061 6.2% 3,824,251 5.0% $10,000 to $14,999 1,149 0.9% 2,987 2.6% 2,660,781 3.5% $15,000 to ~)24,999 4,287 3.3% 10,418 9.2% 6,770,812 8.9% $25,000 to ~)34,999 5,257 4.1% 10,897 9.6% 7,332,318 9.6% $35,000 to S49,999 9,063 7.0% 11,966 10.6% 10,578,051 13.9% $50,000 to ~)74,999 18,910 14.7% 19,967 17.7% 14,990,631 19.7% $75,000 to ~)99,999 18,470 14.3% 13,043 11.5% 10,638,931 14.0% Civilian employed population 16+ Agriculture & mining Wholesale trade INCOME AND BENEFITS -·-·-·~----. Mean housE!hold income (dollars) Families 289 23 $100,000 to $149,999 27,700 21.5% 20,577 18.2% 11,261,766 14.8% $150,000 to $199,999 18,007 14.0% 9,254 8.2% 4,130,868 5.4% $200,000 or more 23,928 18.6% 6,871 6.1% 3,900,636 5.1% Median family income (dollars) 107,639 177.6% 65,248 107.7% 60,609 Mean family income (dollars) 141,174 177.9% 84,767 106.8% 79,338 Per capita income (dollars) 44,393 170.4% 25,244 96.9% 26,059 Median earnings for workers 48,157 166.6% 30,444 105.3% 28,899 Median earnings for male full-time 77,163 165.9% 46,945 101.0% 46,500 Median earnings for female full-time 55,422 151.6% 37,130 101.6% 36,551 All families 3.7% 32.7% 12.5% 110.6% 11.30% All people 6.0% 39.2% 15.7% 102.6% 15.30% PERCENTAGE BELOW POVERTY LEVEL Morris County is a typical upscale suburban county; Passaic County is mixed, somewhat like Union County, with pockets of poverty as well as islands of affluence. In Morris County, median family income is 178% of the national average, similar to but even higher than Bergen County, while Passaic is only 108% of the average, similar to but lower than Union County. The poverty levels reflect this difference in income; for all families, the rate is only 1/3 of the national average for Morris County, but 110% of that average for Passaic County. Both counties have a higher than average proportion of the workforce in manufacturing, at 12.1% for Morris County and 13.7% for Passaic County, compared to 10.4% nationally. Both counties also have a higher than average proportion of workers in financial and professional services, although the increment is much smaller for Passaic County. Offsetting these bulges, both counties have a much smaller than average proportion of workers in arts, entertainment, leisure, hotels, and restaurants. Table 6-4. Economic Profile of Middlesex and Monmouth Counties and Comparison with the U.S., 2010 Data Category EMPLOYMENT STATUS Population 16 years and over In labor force Civilian labor force Employed Unemployed Armed Forces Not in labor force Middlesex 647,766 436,439 436,344 392,654 43,690 95 211,327 % Monmouth 100.0% 67.4% 67.4% 60.6% 6.7% 0.0% 32.6% 499,682 334,514 334,163 305,172 28,991 351 165,168 % u.s. % 100.0% 66.9% 66.9% 61.1% 5.8% 0.1% 33.1% 2010 243,832,923 156,966,769 155,917,013 139,033,928 16,883,085 1,049,756 86,866,154 100.0% 64.4% 63.9% 57.0% 6.9% 0.4% 35.6% OCCUPATION 290 24 Civilian employed population 16+ Management & professional Service occupations Sales and office occupations Construction, maintenance, repair Production & transportation 392,654 170,323 55,446 99,238 25,049 42,598 100.0% 43.4% 14.1% 25.3% 6.4% 10.8% 305,172 131,997 46,342 81,326 21,803 23,704 100.0% 43.3% 15.2% 26.6% 7.1% 7.8% 139,033,928 49,975,620 25,059,153 34,711,455 12,697,304 16,590,396 100.0% 35.9% 18.0% 25.0% 9.1% 11.9% INDUSTRY Civilian employed population 16+ Agriculture & mining Construction Manufacturing Wholesale trade Retail trade Transportation & utilities Information Finance, insurance, & real estate Professional & administrative Educational services & health care Arts, entertain, hotel, food svcs Other private services Public administration 392,654 628 18,052 39,615 17,826 43,951 26,800 12,486 36,177 52,832 83,080 29,705 15,450 16,052 100.0% 0.2% 4.6% 10.1% 4.5% 11.2% 6.8% 3.2% 9.2% 13.5% 21.2% 7.6% 3.9% 4.1% 305,172 1,043 16,060 20,781 10,399 33,644 14,981 13,058 33,142 39,280 70,468 24,158 11,999 16,159 100.0% 0.3% 5.3% 6.8% 3.4% 11.0% 4.9% 4.3% 10.9% 12.9% 23.1% 7.9% 3.9% 5.3% 139,033,928 2,646,975 8,686,813 14,439,691 3,941,066 16,203,408 6,843,579 3,015,521 9,275,465 14,710,089 32,311,107 12,859,572 6,913,449 7,187,193 100.0% 1.9% 6.2% 10.4% 2.8% 11.7% 4.9% 2.2% 6.7% 10.6% 23.2% 9.2% 5.0% 5.2% INCOME AND BENEFITS Total households Less than $10,000 $10,000 to $14,999 $15,000 to $24,999 $25,000 to $34,999 $35,000 to $49,999 $50,000 to $74,999 $75,000 to $99,999 $100,000 to $149,999 $150,000 to $199,999 $200,000 or more Median household income (dollars) Mean household income (dollars) 278,877 100.0% 9,344 3.4% 8,634 3.1% 20,963 7.5% 17,484 6.3% 28,013 10.0% 52,023 18.7% 41,574 14.9% 59,641 21.4% 23,338 8.4% 17,863 6.4% 76,443 152.7% 91,077 133.4% 234,582 8,749 7,916 20,280 16,779 21,105 34,504 30,287 43,322 23,299 28,341 80,816 109,907 100.0% 3.7% 3.4% 8.6% 7.2% 9.0% 14.7% 12.9% 18.5% 9.9% 12.1% 161.5% 161.0% 114,567,419 8,757,190 6,668,865 13,165,380 12,323,322 16,312,385 20,940,859 13,526,500 13,544,839 4,809,998 4,518,081 50,046 68,259 100.0% 7.6% 5.8% 11.5% 10.8% 14.2% 18.3% 11.8% 11.8% 4.2% 3.9% Families Less than $10,000 $10,000 to $14,999 $15,000 to $24,999 $25,000 to $34,999 $35,000 to $49,999 $50,000 to $74,999 $75,000 to $99,999 $100,000 to $149,999 $150,000 to $199,999 $200,000 or more Median family income (dollars) 203,542 3,425 3,594 10,298 10,039 18,530 36,692 32,490 51,013 21,178 16,283 88,678 159,264 3,542 2,250 7,999 8,157 11,826 20,099 23,504 36,806 19,441 25,640 101,714 100.0% 2.2% 1.4% 5.0% 5.1% 7.4% 12.6% 14.8% 23.1% 12.2% 16.1% 76,089,045 3,824,251 2,660,781 6,770,812 7,332,318 10,578,051 14,990,631 10,638,931 11,261,766 4,130,868 3,900,636 60,609 100.0% 5.0% 3.5% 8.9% 9.6% 13.9% 19.7% 14.0% 14.8% 5.4% 5.1% 100.0% 1.7% 1.8% 5.1% 4.9% 9.1% 18.0% 16.0% 25.1% 10.4% 8.0% 146.3% 167.8% 291 25 Mean family income (dollars) Per capita income (dollars) -- 102,733 32,017 122.9% 132,616 41,434 167.2% 159.0% 79,338 26,059 Median earnings for workers Median earnings for male full-time Median earnings for female full-time 40,270 61,557 47,101 139.3% 132.4% 128.9% 42,266 71,576 52,072 146.3% 153.9% 142.5% 28,899 46,500 36,551 PERCENTAGE BELOW POVERTY LEVEL All families All people 5.1% 7.7% 45.1% 50.3% 5.0% 6.6% 44.2% 43.1% 11.3% 15.3% 129.5% Middlesex and Monmouth Counties are prototypical wealthy suburbs, with median household incomes more than 50% higher than the U.S. figures and poverty rates half of the national averages or less. Monmouth County has an especially high share of the wealthy, with 12% of households earning $200,000 or more - compared to 4% for the U.S. Consistent with their high-income profiles, both counties have high percentages of white-collar workers - 43% in each county, compared to 36% nationally. Similar to the other counties in the region, Middlesex (9%) and Monmouth (11 %) have high shares of workers in the finance and insurance industries - compared to 7% for the U.S. Unlike Middlesex County, Monmouth County has a lower than average proportion of its workforce in manufacturing, at 7%. Table 6-5. Labor Market Statistics for 8 Counties in Northern New Jersey, 20022011 Data Labor Force Employed Unemployed Un Rate,% New Jersey 2002 4,370,809 4,117,265 253,544 5.8 2003 4,363,896 4,108,397 255,499 5.9 2004 2005 4,358,908 4,404,451 4,144,223 4,207,738 214,685 196,713 4.9 4.5 2006 4,465,067 4,257,899 207,168 4.6 2007 4,456,306 4,264,617 191,689 4.3 2008 4,262,281 246,829 2009 4,509,110 4,546,443 4,138,364 408,079 5.5 9.0 2010 4,554,076 4,116,640 437,436 9.6 4,556,186 4,131,832 424,354 9.3 2011 Bergen 2002 466,326 442,760 23,566 5.1 2003 465,115 441,480 23,635 5.1 2004 462,702 443,247 19,455 4.2 292 26 2005 467,206 449,791 17,415 3.7 2006 473,275 455,022 18,253 3.9 2007 472,991 456,594 16,397 3.5 2008 478,584 457,046 21,538 4.5 2009 480,720 443,620 37,100 7.7 2010 476,243 436,522 39,721 8.3 2011 479,131 441,277 37,854 7.9 2002 371,383 344,532 26,851 7.2 2003 369,164 342,304 26,860 7.3 2004 363,454 340,905 22,549 6.2 2005 361,843 341,544 20,299 5.6 2006 364,175 343,012 21,163 5.8 2007 362,785 343,281 19,504 5.4 2008 366,007 341,853 24,154 6.6 2009 367,125 329,526 37,599 10.2 2010 370,372 329,355 41,017 11.1 2011 370,417 330,337 40,080 10.8 2002 296,200 273,503 22,697 7.7 2003 292,204 270,633 21,571 7.4 2004 287,381 269,725 17,656 6.1 2005 288,312 272,630 15,682 5.4 2006 290,204 274,266 15,938 5.5 2007 290,990 276,383 14,607 5.0 2008 294,408 275,666 18,742 6.4 2009 299,839 268,570 31,269 10.4 2010 310,845 277,281 33,564 10.8 2011 312,467 280,302 32,165 10.3 2002 Middlesex 413,685 390,439 23,246 5.6 2003 411,128 388,372 22,756 5.5 2004 410,464 391,663 18,801 4.6 2005 415,943 398,420 17,523 4.2 2006 421,868 403,617 18,251 4.3 2007 421,754 405,387 16,367 3.9 2008 425,916 404,463 21,453 5.0 2009 427,408 391,354 36,054 8.4 2010 436,381 398,449 37,932 8.7 2011 436,228 399,546 36,682 8.4 Essex Hudson 293 27 Monmouth 2002 325,726 308,550 17,176 5.3 2003 323,789 306,191 17,598 5.4 2004 322,012 307,448 14,564 4.5 2005 324,105 310,869 13,236 4.1 2006 329,093 315,612 13,481 4.1 3.8 2007 332,191 319,687 12,504 2008 335,353 318,975 16,378 4.9 2009 336,577 308,793 27,784 8.3 2010 329,433 300,427 29,006 8.8 2011 329,571 301,254 28,317 8.6 2002 265,499 253,291 12,208 4.6 2003 266,068 253,862 12,206 4.6 2004 265,376 255,660 9,716 3.7 2005 267,813 259,088 8,725 3.3 2006 272,237 263,196 9,041 3.3 2007 272,580 264,282 8,298 3.0 2008 275,584 264,528 11,056 4.0 2009 275,118 255,839 19,279 7.0 2010 272,994 252,965 20,029 7.3 2011 272,849 253,719 19,130 7.0 2002 236,848 220,154 16,694 7.0 2003 236,729 219,363 17,366 7.3 2004 233,946 219,516 14,430 6.2 2005 235,518 222,610 12,908 5.5 2006 237,194 223,944 13,250 5.6 2007 237,294 224,527 12,767 5.4 2008 240,836 224,443 16,393 6.8 2009 244,838 218,118 26,720 10.9 2010 244,764 216,367 28,397 11.6 2011 246,012 218,724 27,288 11.1 2002 269,672 252,547 17,125 6.4 2003 268,107 251,137 16,970 6.3 2004 265,034 250,970 14,064 5.3 2005 265,654 252,991 12,663 4.8 2006 268,521 255,487 13,034 4.9 Morris Passaic Union 294 28 2007 267,960 255,865 12,095 4.5 2008 271,553 255,902 15,651 5.8 2009 273,728 248,504 25,224 9.2 2010 275,137 248,502 26,635 9.7 2011 275,886 249,244 26,642 9.7 8 counties 2002 2,645,339 2,485,776 159,563 6.0 2003 2,632,304 2,473,342 158,962 6.0 2004 2,610,369 2,479,134 131,235 5.0 2005 2,626,394 2,507,943 118,451 4.5 2006 2,656,567 2,534,156 122,411 4.6 2007 2,658,545 2,546,006 112,539 4.2 2008 2,688,241 2,542,876 145,365 5.4 2009 2,705,353 2,464,324 241,029 8.9 2010 2,716,169 2,459,868 256,301 9.4 2011 2,722,561 2,474,403 248,158 9.1 The unemployment rate for this part of New Jersey is very similar to the profile for the overall U. S., although the figures in 2010 and 2011 are marginally lower. By individual county, Hudson, Essex, Union, and Passaic counties have rates that are above the 8.9% level for 2011, while Bergen, Middlesex, Morris, and Monmouth are below average. According to BLS statistics as of December 1, 2012, there were almost 250,000 unemployed people in this 8-county region in 2011. Table 6-6. Level and Growth Rate of Population, State of New Jersey, 8 Counties in the Northern New Jersey, and the Total of these Counties (Table is divided into Sections A and B for easier viewing) New Jersey Bergen Essex Hudson Union Middlesex 2011 8,821,155 911,004 785,137 641,224 539,494 814,217 2010 8,799,593 906,184 784,099 634,979 537,475 810,747 2009 8,755,602 900,319 781,943 628,572 532,434 805,204 2008 8,711,090 895,328 778,165 619,533 527,528 799,191 2007 8,677,885 890,817 778,996 613,637 524,960 792,137 2006 8,661,679 889,406 781,027 613,577 525,153 786,890 2005 8,651,974 891,446 786,341 614,664 526,161 787,329 2004 8,634,561 893,378 791,305 614,607 526,916 781,582 2003 8,601,402 892,214 795,167 614,813 527,611 775,973 2002 8,552,643 890,647 795,625 615,554 527,625 769,280 2011/10 0.25% 0.53% 0.13% 0.98% 0.38% 0.43% 2010/09 0.50% 0.65% 0.28% 1.02% 0.95% 0.69% 2009/08 0.51% 0.56% 0.49% 1.46% 0.93% 0.75% 295 29 2008/07 2007/06 2006/05 2005/04 2004/03 2003/02 0.38% 0.19% 0.11% 0.20% 0.39% 0.57% 0.51% 0.16% -0.23% -0.22% 2011/02 0.34% 2011 2010 2009 2008 2007 2006 2005 2004 2003 2002 2011/10 2010/09 2009/08 2008/07 2007/06 2006/05 2005/04 2004/03 2003/02 2011/02 Middlesex 814,217 810,747 805,204 799,191 792,137 786,890 787,329 781,582 775,973 769,280 0.43% 0.13% 0.18% -0.11% -0.26% -0.68% -0.63% -0.49% -0.06% 0.96% 0.01% -0.18% 0.01% -0.03% -0.12% 0.49% -0.04% -0.19% -0.14% -0.13% 0.00% 0.89% 0.67% -0.06% 0.74% 0.72% 0.87% 0.25% -0.15% 0.45% 0.25% 0.63% Morris 494,976 492,681 490,779 489,743 488,355 487,486 485,472 483,997 Passaic 502,007 501,606 498,641 494,904 492,886 492,730 493,600 493,981 8 counties 5,319,079 5,298,691 5,266,561 5,231,740 481,000 477,234 494,915 494,571 5,209,106 5,195,068 Monmouth 631,020 630,920 628,669 627,348 626,644 626,934 627,838 628,605 627,413 624,532 5,208,432 5,203,203 5,212,851 5,214,371 0.47% 0.08% 0.69% 0.75% 0.89% 0.67% -0.06% 0.74% 0.72% 0.87% 0.02% 0.36% 0.21% 0.11% -0.05% -0.14% -0.12% 0.19% 0.46% 0.39% 0.21% 0.28% 0.18% 0.41% 0.30% 0.62% 0.79% 0.59% 0.76% 0.41% 0.03% -0.18% -0.08% -0.19% 0.07% 0.38% 0.61% 0.67% 0.45% 0.10% -0.19% -0.03% 0.10% 0.27% 0.63% 0.11% 0.41% 0.17% 0.26% Population growth in this 8-county area was not only well below the 1% rate for the U.S, but was less than half the rate in New Jersey; since that is the figure for the entire state, the growth rate was only about 1/5 of that for the other 9 counties in New Jersey. The pattern reversed course at mid-decade, with an actual decline from 2004 through 2007 being followed by an average growth rate of 0.5% from 2008 to 2011. Table 6-7. Level and Growth Rate of Personal Income, Billions of Dollars, State of New Jersey, 8 Counties in Northern New Jersey, and the Total of these Counties 2011 New Jersey 462.49 Bergen 60.21 Essex 41.58 Hudson 30.38 Union 27.98 296 30 26.63 2010 443.74 57.44 40.01 28.75 2009 430.96 56.36 37.98 26.82 25.76 27.59 2008 454.21 61.09 40.20 26.57 2007 436.12 60.04 38.83 24.21 26.64 2006 411.43 55.78 36.93 22.69 25.54 2005 379.65 50.55 33.99 21.15 23.28 2004 365.26 48.66 32.77 19.99 22.54 2003 347.69 45.62 30.81 19.24 21.87 2002 341.56 46.24 30.14 19.00 21.51 2011/10 4.23% 4.83% 3.91% 5.66% 5.08% 2010/09 2.97% 1.91% 5.34% 7.20% 3.35% 2009/08 -5.12% -7.73% -5.53% 0.96% -6.63% 2008/07 4.15% 1.75% 3.53% 9.76% 3.57% 2007/06 6.00% 7.63% 5.14% 6.69% 4.31% 9.72% 2006/05 8.37% 10.34% 8.65% 7.26% 2005/04 3.94% 3.90% 3.73% 5.81% 3.29% 2004/03 5.05% 6.65% 6.37% 3.88% 3.06% 2003/02 1.80% -1.33% 2.21% 1.30% 1.70% 2011/02 3.42% 2.98% 3.63% 5.35% 2.96% Middlesex Monmouth Morris Passaic 8 counties 2011 40.06 36.82 35.50 21.69 294.23 2010 38.34 35.59 34.18 20.64 281.58 2009 37.58 34.79 32.98 20.03 272.31 20.57 289.02 2008 39.53 37.22 36.25 2007 37.22 36.15 34.77 19.83 277.68 2006 34.78 33.68 33.11 18.66 261.17 2005 32.14 30.87 30.55 17.41 239.95 2004 31.00 29.78 29.42 16.48 230.64 218.81 2003 30.07 27.75 27.32 16.13 2002 29.55 27.36 26.93 15.92 216.63 2011/10 4.50% 3.45% 3.87% 5.09% 4.49% 2010/09 2.02% 2.31% 3.65% 3.04% 3.41% 2009/08 -4.95% -6.53% -9.04% -2.60% -5.78% 2008/07 6.20% 2.97% 4.28% 3.74% 4.08% 2007/06 7.01% 7.35% 5.01% 6.26% 6.32% 2006/05 8.22% 9.09% 8.37% 7.17% 8.84% 2005/04 3.70% 3.66% 3.85% 5.61% 4.04% 2004/03 3.10% 7.32% 7.67% 2.22% 5.41% 2003/02 1.76% 1.43% 1.47% 1.28% 1.00% 297 31 3.44% 2011/02 3.35% 3.12% 3.49% 3.46% The growth in personal income over the decade for this 8-county region was the same as the rest of New Jersey, and about 0.3% per year lower than the U.S. economy. The decline in 2009 was obviously tied to the financial markets, but was not nearly as severe as the swings in Manhattan and the suburban counties in New York State. Of particular interest is that income actually continued to rise in Hudson County in 2009 in spite of the increasing concentration of financial institutions who have moved across the river from New York City; it was the only county in this group where income did not decline in 2009. The rebound in 2010 and 2011 for the entire region continued to be close to the national average; for Hudson County, the increase was well above average. Finally, we turn to the commuting patterns. In determining the economic impact of new job creation, it is necessary to choose the counties that form the relevant area for analysis. The economic multipliers will be higher as the number of counties included in the area increases. If the proportion of the workforce covered rises above 95%, that would include too many jobs that are not directly related to the new project. If that proportion falls below 90%, the multipliers would probably be understated. Hence the commuting patterns of the workforce data from the 2000 Census are used to determine the optimal mix of counties to be included in the multiplier calculations. These commuters spend most of their paychecks in the counties where they live, so the economic impact of the new project creates some new induced jobs in bordering counties. Also, some of the goods and services purchased by the new businesses are produced or purchased from establishments in neighboring counties. Table 6-8 can be interpreted as follows. In 2000, there were 223,225 people in the Hudson County workforce. Of these, 121 ,352 lived in Hudson County, 25,444 lived in Bergen County, and so on. We have included counties that accounted for 84.1% of the total Hudson County workforce, which is below the usual level because many of the commuters live in far-flung counties that have few links with Hudson County. Table 6-8. Commuting Patterns for Hudson County, NJ Total Hudson County Workforce Living in these counties: 223,225 Hudson Co. NJ 121,352 Bergen Co. NJ 25,444 Essex Co. NJ 16,193 Middlesex Co. NJ 8,706 Union Co. NJ 8,251 Passaic Co. NJ 6,468 Monmouth Co. NJ 6,165 Morris Co. NJ 4,806 Total these 8 counties % in these 8 counties 197,835 84.1% 298 32 7. Location of Building, Maps of Area, and TEA Analysis Figure 7-1. Location of 88 Morgan Street, Jersey City 2"'1 S! ~ ~ 2"'1$! > l;; I £ fru~ Jf t $t '!>\l<:t!C~O~~"<~f Bily$1 ,, J flo,_& OJ ! J' I? 0 ~~.."" 1St 4~¢ "1fJo"'•IJ';tq ~ lf!Jr l ,. l q fl:J~ Gra~st ,. l !; l 225 a~$t\d Jr" li ~ z Gra"'1S! J 299 33 Figure 7-2. Location of Building in the 8-County Area ""• ,tiiil•wilre tWa!erGap ,,~//"' Washington Reading 110 mi 20~m ·1j 1 I'' 300 34 Figure 7-3. County Map of New Jersey ?22/11? mm mafia gunman . 434% . ?am/,MI/WWm.? 53> gum,? a 301 35 TEA Analysis A TEA can be formed from CTs 3,4,5,6,7,8,11, 12,01,12.02, 15, 22,23, 25, 26, 30, 31, 32 33, 44, 45,46,50, 51, 52, 53, and 55; the locations of these CTs are shown in Figure 7-4. The Property is located in CT 26. A letter of certification is expected from the New Jersey Department of Labor. Figure 7-4. Census Tract Map of Jersey City 302 36 8. Economic Impact of Construction Expenditures I Table 8-1 shows the total development budget of Of this amount, about lis EB-5 eligible hard construction costsl lis architectural, engmeenng, and related fees, and s purchases of furniture, fixtures, and equipment (FF&E). The remainin consists rimaril of land costs, interest costs, contingencies, and fees. The total in EB-5 eligible hard construction costs used in the RIMS II calculation expressly excludes, the ll · f ures stated in the Detailed Construction Budget set out in Table 8-2: (i) n Construction Contingency; (ii}l for Bond Completion, and (iii) or Jersey City Police. I (b)(4) U Table 8-1. Sources and Uses of Funds (b)(4) The details of the budget are given in Table 8-2. We have subtracted certain items from the Hard Cost figure given in Table 8-1 that are not EB-5 eligible; the remaining amount includes building, parking, and site preparation. EB-5 eligible soft costs are architectural, engineering, and surveying fees. The line items included in the hard cost are the buildrg costsl of' land the parking garage costs of I lfor a total of mil1on. (b)(4) Table 8-2. Detailed Construction Budget 303 37 (b)(4) USCIS has requested that these figures be related to industry standards. According to R. S. Means, Square Foot Costs, 34th Annual Edition (2013), the average construction cost per square foot for an apartment building on a national average basis is '• These 1 lhe average cost for an underground parking garage is $72.73. figures should be multiplied by the rrgjonal caeffident for Jersey City, NJ, which is 1.1 0, hence raising these figures to about ~spectively. These numbers can (b)(4) 304 38 I (b)(4) be compared with the cost per square foot given in the above table of I I and I The figure for the apartment building is below industry standards; the figure for the parking garage is above industry standards, but the weighted average of these tw(:,:::,~:fs of the building it o fe lompared to the R. S. Means average figure he additional cost of the parking garage reflects is attributable to design d to the land being near the water and within a flood zone. In general, USCIS has indicated that current-dollar numbers should be deflated to the year in which the input/output coefficients were calculated, which in this case is 2008. For construction expenditures, however, prices have actually dropped since then, as shown in the Turner construction index. The estimated values used in the impact analysis are as follows: 2012, 829; 2013, 845, and 2014, 862 (a 2% annual growth rate). For projects being constructed in 2013 and 2014, the average level would be 854, which is well below the 908 level reached in 2008. index 3rd Quarter 2012 832 0.73 2nd Quarter 201.2 1st Quarter 2012 4th Quarter 2011 826 821 818 0.61 0.37 0.49 2011 2010 2009 2008 2007 2006 2005 2004 2003 2002 2001 2000 1999 812 799 832 908 854 793 717 655 621 619 613 595 570 1.6 -4.0 -8..4 6.3 7.7 10.6 9.5 5.4 0.3 1.0 3.0 4.4 3..8 Turner has prepared the construction cost forecast for more than 80 years. Used widely by the construction industry and Federal and State governments, the building costs and price trends tracked by The Turner Building Cost Index may or may not reflect 305 39 regional conditions in any given quarter. The Cost Index is determined by several factors considered on a nationwide basis, including labor rates and productivity, material prices and the competitive condition of the marketplace. This index does not necessarily conform to other published indices because others do not generally take all of these factors into account. Further information about this index is available at: http ://yyw.w.~t.qrn~IGQO§tf\J.GJl9.D~GQffi/99.§l:i.IJQ~X The next six tables show the economic impact of (a) hard construction costs, (b) EB-5 eligible soft costs, and (c) purchases of FF&E. In all cases, the tables show the impact for the 20 major industrial classifications in the RIMS II inpuUoutput model; in all cases, only indirect and induced impacts are included. Please note that in these and succeeding tables, output and earnings are given in thousands of dollars. (b)(4) Table 8-3. Increase in Employment, Output, and Earnings for Hard Construction Costs of 88 Morgan Street 306 40 (b)(4) D Table 8-3 shows there will be a total of jobs created from the hard construction costs of the 88 Morgan Street building. Output would rise about I I I Iwhile household earnings would increase b about Table 8-4 shows the average output per new worker is about while average earnings are aboutl I Table 8-4. Output and Earnings Per New Worker, Hard Construction Costs for 88 Morgan Street (b)(4) For equipment purchases, USCIS has agreed to count jobs indirectly created outside the geographical boundaries of a Regional Center (RC) in determining whether the RC's business plan complies with EB-5 regulations. The policy change was expressed in a December 3, 2010, letter from USC IS Director Alejandro Mayorkas in response to a letter from Senator Patrick Leahy, Chairman of the Senate Judiciary Committee. Mayorkas wrote: "USC IS interprets the law to require that a regional center focus its EB-5 capital investment activities on a single, contiguous area within the defined geographic jurisdiction requested by the regional center. Nevertheless, we agree that 307 41 the law does not further mandate that all indirect job creation attributable to a regional center take place within that jurisdiction. I will, therefore, ensure that USCIS policy reflects this understanding of the law." The regulations include the following language: "The regulation at 8 CFR 204.6.(m) provides [that] ... Each regional center ... shall submit a proposal, which ... Contains a detailed prediction regarding the manner in which the regional center will have a positive impact on the regional or national economy in general as reflected by such factors as increased household earnings, greater demand for business services, utilities, maintenance and repair, and construction both within and without the regional center" (emphasis added). The FF&E are probably not produced in the Jersey City region, but they are purchased there. Hence the indirect and induced jobs from wholesale trade can be included in these calculations (b)(4) Table 8-5. Increase in Employment, Output, and Earnings, Purchases of FF&E for 88 Morgan Street , Indirect and Induced Effects Only 308 42 (b)(4) Table 8-5 shows there will be a total of 10 indirect and induced jobs created from the pqrchas;s of FF&E for the 88 Morgan Street building. O~:~t would iise about while household earnings would increase by about Table 86 shows tie avera)e output per new worker is about 1e average earnings are about I I Iii Table 8-6. Output and Earnings Per New Worker, Purchases of FF&E for 88 Morgan Street , Indirect and Induced Effects Only (b)(4) In terms of what soft costs are EB-5 eligible, we rely on the information given in the NAICS coding manual, which is summarize as follows: 541310 Architectural Services This industry comprises establishments primarily engaged in planning and designing residential, institutional, leisure, commercial, and industrial buildings and structures by applying knowledge of design, construction procedures, zoning regulations, building codes, and building materials. 541330 Engineering Services 309 43 This industry comprises establishments primarily engaged in applying physical laws and principles of engineering in the design, development, and utilization of machines, materials, instruments, structures, processes, and systems. The assignments undertaken by these establishments may involve any of the following activities: provision of advice, preparation of feasibility studies, preparation of preliminary and final plans and designs, provision of technical services during the construction or installation phase, inspection and evaluation of engineering projects, and related services. 236220 Nonresidential Building Construction This industry comprises establishments primarily responsible for the construction (including new work, additions, alterations, maintenance, and repairs) of commercial and institutional buildings and related structures, such as stadiums, grain elevators, and indoor swimming facilities. This industry includes establishments responsible for the on-site assembly of modular or prefabricated commercial and institutional buildings. Included in this industry are commercial and institutional building general contractors, commercial and institutional building operative builders, commercial and institutional building design-build firms, and commercial and institutional building project construction management firms. Table 8-7. Increase in Employment, Output, and Earnings for EB-5 Eligible Soft Construction Costs of 88 Morgan Street Project (b)(4) 310 44 (b)(4) Table 8-7 shows there will be a total Q b s created from the EB-5 eligible soft I constr~ction costs of the 88 Morgan Street building. Output would rise about while household earnings would increase by about I I Table 8-8 shows thf averagj output per new worker is about! I while average earnings are abou D Table 8-8. Output and Earnings Per New Worker for EB-5 Eligible Soft Construction Costs of 88 Morgan Street Project (b)(4) 9. Economic Impact of Rental Income for Apartments, Retail Space, and Parking Space c The building at 88 Morgan Street will be primarily residential, containing 417 apartments, 214 parking spaces, and about 4,000 square feet of retail space. According to the developer, the Jersey City market place is one of the rental markets in New Jersey. Re~s at crmparable developments are well ov It and occupancies hover in the hi The operating assumptions are shown 1n a le 9-1. (b)(4) 311 45 Table 9-1. Operating Assumptions for 88 Morgan Street, Jersey City, NJ >perating Assumptions (b)(4) The monthly rentals for comparable apartment buildings in Jersey City are shown in Table 9-2. 312 46 Table 9-2. Comparable Monthly Rents in Jersey City Rent Growth (b)(4) Soun-es: '1 REIS SubTrt.,...d Futures: Apa.rtn:~nt· 3Q 2011. Metro: 1 ~~Y~ Submarb!t: HudS()rt County ' mN.ew 12 313 47 The total annual rental income entered into the RIMS II model is hence calculated as follows, based on the operating projections provided by the developer. The figures for "Year 4", which is the first full year of occupancy, are used for these calculations. Table 9-3. Operating Projections, first 4 Years, for 88 Morgan Street Building Detailed Operating Projections (b)(4) 18 In the first full year of operation, gross potential rent would be "'f~~""!""'-~..... however that figure must be reduced by an expected 3% vacancy rate, 0.5% loss for bad debts, and first-year rent concessions (essentially one free month) that amount to anothe1 Hence total apartment rentals after subtracting these items equals This figure is then boosted by the expected revenue for retail income, and other fees. Retail space of 4,000 square feet is expected to rent foc:::J per square foot, which is well below t~age for comparable locations. Finally, fees from other income are expected to bL...Jper month per occupied unit, with the firstyear adjustment for one month of free rent. Summing all these factors indicates total annual rental income~ lfor the first full year of operation. Parking revenue has been excluded from the rental revenue estimate. I (b)(4) (b)(4) 314 48 This figure is in 2016 dollars, while the input/output coefficients are based on (b)(4) 2008 dollars, so it must be deflated. The CPI for rental; income medium-sized cities rose 1.6% per year from 2008 to 2012, as shown in Table 9-4, so continuing that rate forward to 2016, the deflator would be 1.134, indicating rental income o1 in 2008 dollars. .....__ _ _ _..,.. Table 9-4. CPI for Primary Rental Income, Medium-Sized Cities Area: Size Class B/C (between 50,000 and 1,500,000) Item: Rent of primary residence Base Period: DECEMBER 1997=100 (b)(4) The detailed industry results for ~ tn rental income are shown in the next two tables. .....__ _ _... Table 9-5. Increase in Employment, Output, and Earnings, Rental Income for 88 Morgan Street Building, 2008 Dollars 315 49 (b)(4) Table 9-5 shows there would be an increase ofnpermanent new jobs from the rental income of the 88 Morgan Street building. To'ra'routRut would rise about I I r l and household earnings would increase by about~ Table 9-6 's!ioiiis'rteut eer rw worker would be about! (b)(4) I wit I average annual earnings ofabou Table 9-6. Output and Earnings Per New Worker, Rental Income for 88 Morgan Street Building, 2008 Dollars 316 50 317 51 10. Summary Statistics for the Construction and Rental Income for the 88 Morgan Street Building Tables 10-1 and 10-2 show the combined economic impact of constructing and rental income for the 88 Morgan Street Building. These results are the summation of the data given in Sections (8) and (9), so the individual cells simply represent the sum (or average) of these figures in the previous two sections. (b)(4) (b)(4) Table 10-1. Increase in Employment, Output, and Earnings for Construction and Operation of the 88 Mor~ Table 10-1 shows that rlpermanent new jobs would be created by the construction and rental income fO"i11i'e 88 Morgan Street building. Output would rise by aboutl I and household earnings would increase by aboutl ] Table 10-2 shows that the average output per new worker would be ab~o--u~t1====~1 while average annual earnings would be abou! I 318 52 (b)(4) Table 10-2. Output and Earnings Per New Worker for Construction and Operation of 88 Morgan Street Building 319 53 Appendix: Resume of Dr. Michael K. Evans CURRENT AND PREVIOUS POSITIONS • Chairman, Evans, Carroll & Associates, Inc., 1980-present Economics) (previously Evans Economic consulting firm specializing in EB-5 immigration analysis, economic impact studies of development projects and new construction, models of state and local tax receipts, impact of current and proposed government legislation, and construction of econometric models for individual industries and companies. • Chief Economist, American Economics Group, 2000-2008. Built a comprehensive state modeling system that provides economic analysis for a variety of consulting projects (see below). • Clinical Professor of Economics, Department of Managerial Economics and Decision Sciences (MEDS), Kellogg Graduate School of Management, Northwestern University, 1996-99. Taught courses in macroeconomics and business forecasting. Wrote textbooks for both courses. • Winner of Blue Chip Economic Indicator Award for most accurate macroeconomic forecasts during the past four years, November 1999 • Founder and President, Chase Econometric Associates, 1970-1980 • Assistant and Associate Professor of Economics, Wharton School, University of Pennsylvania, 1964-69. Co-developer of the original Wharton Model. • Visiting Professor, Radford University, (Radford, VA), 1987 Chairman of Institute for International Economic Competitiveness • Visiting Lecturer, Hebrew University (Jerusalem), 1966-67 Built econometric model of the Israeli economy • Ph. D. in Economics, Brown University. Dissertation, "A Postwar Quarterly Model of the United States Economy, 1948-1962". A. B. in Mathematical Economics, Brown University 320 54 PREVIOUS ACTIVIT/ES AND EDUCATION • Contributing Editor, Industry Week Wrote a column in each issue on economic and financial trends as they impact the manufacturing sector. • Editor, The Evans Report Weekly newsletter discussing economic trends and financial markets. Pioneered the concept of the Monthly Tracking Model to incorporate recent economic releases into the overall economic forecast, including methods to predict these economic data. • Consultant, National Printing Equipment and Supply Association Prepared quarterly forecasts of shipments of printing equipment and graphic arts supplies by product line, based on an econometric model constructed for NPES. Also prepares analysis and forecasts of exports and imports by principal product line. • Consultant, APICS -- The Educational Society for Resource Management, Designed and developed the APICS Business Outlook Index, which used survey data collected by the Evans Group to measure current production, production plans, shipments, employment, new orders, unfilled orders, inventory stocks, and the comparison of the actual to desired inventory/sales ratio to predict short-term changes in manufacturing sector activity. The results of this survey appeared every month in APICS: The Performance Advantage • Consultant, American Hardware Manufacturing Association Wrote a separate weekly edition of the Evans Report analyzing recent trends in the hardware and housing industries, including forecasts of the hardware industry based on an econometric model developed for AHMA. • Board of Economists, Los Angeles Times Wrote column every 6 weeks (5 other economists on the Board) • Columnist, United Press International Wrote twice-weekly column, "Dollars and Trends" • Consultant, Senate Finance Committee, 321 55 Built the first large-scale supply-side model of the U.S. economy • Consultant, Environmental Protection Agency and Council on Environmental Quality Estimated inflationary impact of government regulations • Consultant, National Aeronautics and Space Administration Estimate impact of R&D spending on productivity growth • Consultant, U. S. Treasury Estimated impact of investment tax credit and accelerated depreciation on capital spending by industry • Consultant, U. S. Department of Agriculture Built large-scale econometric model of agricultural sector of U. S. economy • Consultant, Organization of Economic Cooperation and Development Built econometric model of the French economy SAMPLE OF RECENT CONSULTING PROJECTS A. Economic Impact of EB-5 Immigrant Investor Programs and New Markets Tax Credits For more information on these projects, see w~~~Y~D$E:!RQ~9Qffi Key to symbols: N, new regional center, E, extension of existing center List is current as of November 5, 2010. Totals to date are 136 new regional centers, 72 extensions, and 7 new markets tax credits, for a total of 215 projects N• Calculated the economic impact of the construction and operation of an assisted living center in Santa Ana, CA N• Calculated the economic impact of the construction and operation of several BBQ restaurants in South Florida. N• Calculated the economic impact of the drilling oil wells in 8 counties in Texas and Louisiana. 322 56 N• Calculated the economic impact of operating coal mines for metallurgical coal in West Virginia. N• Calculated the economic impact of operating gold mines in Alaska. N• Calculated the economic impact of constructing and operating a mixed-use commercial center in Flushing, NY N• Calculated the economic impact of constructing and operating two hotels, one in downtown San Diego, and one in Escondido, CA N• Calculated the economic impact of expanding and operating an auto racing track in Palm Beach, FL N• Calculated the economic impact of building and operating mobile housing villages for disaster relief. N• Calculated the economic impact of operating an "incubator" for research on medical devices, preparations, and services in Houston, TX. N• Calculated the economic impact of constructing and operating a mixed-use commercial center in Denver, CO. N• Calculated the economic impact of constructing and operating a charter school in Miami/Dade County, FL E• Calculated the economic impact of constructing and operating a hotel in Manhattan, NY N• Calculated the economic impact of constructing and operating hotels, assisted living centers, and mixed-use commercial buildings in 8 counties in Southern California N• Calculated the economic impact of constructing and operating a charter school in Broward County, FL N• Calculated the economic impact of renovating a former public housing project in Chicago, IL N• Calculated the economic impact of starting a high-tech company for optical displays in Orlando and Gainesville, FL N• Calculated the economic impact of constructing and operating luxury hotels in four Southern California counties E• Calculated the economic impact of expanding a manufacturing company in Ann Arbor, Ml 323 57 N• Calculated the economic impact of reconverting an old mill building into offices and other commercial uses in Bristol County, MA N• Calculated the economic impact of a film and TV production studio in Los Angeles, CA N• Calculated the economic impact of constructing and operating various residential and commercial buildings in 35 Texas counties. N• Calculated the economic impact of constructing and operating the world's tallest residential structure in Chicago, IL N• Calculated the economic impact of constructing and operating a mixed-use commercial and residential building in Seattle, WA N• Calculated the economic impact of constructing and operating a hotel in Cleveland, OH N• Calculated the economic impact of a research facility in Jupiter, FL N• Calculated the economic impact of constructing and operating an assisted living center in Harry County, SC N• Calculated the economic impact of constructing and operating a chain pharmacy in Chicago, IL E• Calculated the economic impact of constructing and operating a high-end hotel and resort in Aspen, CO N• Calculated the economic impact of constructing and operating an assisted living center in Dallas, TX E• Calculated the economic impact of constructing and operating an medical assistance company in Bronx, NY E• Calculated the economic impact of constructing and operating a mixed-use commercial building in Queens, NY E• Calculated the economic impact of operating a livery service in Queens, NY N• Calculated the economic impact of constructing and operating residential properties in Southern California N• Calculated the economic impact of operating a film and TV production studio in Los Angeles, CA N• Calculated the economic impact of drilling oil wells in Montana 324 58 N• Calculated the economic impact of constructing and operating various residential and commercial buildings for 43 counties in Texas E• Calculated the economic impact of constructing and operating a restaurant and dinner theater in Guam N• Constructed an input/output model for the Commonwealth of the Northern Mariana Islands, and used it to calculated the economic impact of constructing and operating a restaurant in Saipan. E• Calculated the economic impact of constructing and operating a new hotel in Miami, FL E• Calculated the economic impact of constructing and operating a resort and wellness center in South Florida N• Calculated the economic impact of expanding and operating a ski resort in Vermont. N• Calculated the economic impact of constructing and operating residential and commercial buildings in 20 counties in South Central Texas N• Calculated the economic impact of constructing and operating a hotel near the Newark, NJ airport E• Calculated the economic impact of constructing and operating a company to process health insurance benefits in South Florida E• Calculated the economic impact of constructing and operating a veterinary hospital in Palm Beach County, FL N• Calculated the economic impact of constructing and operating various residential and commercial buildings for all counties in MA, CT, Rl, and NH N• Calculated the economic impact of constructing and operating a residential construction company in Maryland N• Calculated the economic impact of constructing and operating various residential and commercial buildings for the entire state of Oklahoma N• Calculated the economic impact of constructing and operating a company for manufacturing dental implants in Cuyahoga County, OH N• Calculated the economic impact of constructing and operating a mixed-use commercial facility in Brooklyn, NY 325 59 N• Calculated the economic impact of constructing and operating an office building for financial services in downtown Manhattan, NY N• Calculated the economic impact of constructing and operating a mixed·use facility in Southern California N• Calculated the economic impact of constructing and operating a retail shopping center in Tampa, FL N• Calculated the economic impact of constructing and operating a retail shopping center in Tampa, FL N• Calculated the economic impact of constructing and operating a mixed·use commercial building in Seattle, WA N• Calculated the economic impact of constructing and operating a charter school in Arizona N• Calculated the economic impact of constructing and operating a resort in northeastern Utah N• Calculated the economic impact of operating an online video game company N• Calculated the economic impact of constructing and operating a hotel in New York City N• Calculated the economic impact of constructing and operating a fashion mall in South Florida E• Calculated the economic impact of construction and operation of a new automobile assembly plant in Petersburg, VA N• Calculated the economic impact of operating a call center for the U.S. government in Muskogee, OK N• Calculated the economic impact of developing a mixed-use commercial and residential center in Scottsdale, AZ N• Calculated the economic impact of constructing and operating a "Green Box" facility in New Jersey to process waste material on a pollution·free basis. N• Calculated the economic impact of constructing and operating a "Green Box" facility in Washington State to process waste material on a pollution·free basis. E• Calculated the economic impact of constructing and operating a new hotel in Coral Gables, FL 326 60 E• Calculated the economic impact of developing a new residential community in Brevard County, and retail stores and restaurants in St. Lucie County, FL N • Calculated the economic impact of a new business to store and process field crops in Madison, MS N• Calculated the economic impact of operating food service establishments and assisted living centers in 40 counties in Texas. E• Calculated the economic impact of developing a mixed-use commercial center in Miami, FL N• Calculated the economic impact of renovating a theater in New York City to show film highlights of previous Broadway hits. N• Calculated the economic impact of renovating and operating distressed buildings in the San Francisco Bay area. E• Calculated the economic impact of a mixed-use commercial center in Montgomery County, TX E• Calculated the economic impact of expanding a manufacturing facility to produce more energy-efficient lighting in Sarasota, FL N• Calculated the economic impact of developing facilities for amateur sporting events in northern GA N• Calculated the economic impact of developing a mixed-use commercial center in Missoula, MT N• Calculated the economic impact of operating call centers in Las Vegas, NV, and other western Nevada counties E• Calculated the economic impact of constructing and operating a proton cancer treatment center in Boca Raton, FL E• Calculated the economic impact of constructing and operating a "Green Box" facility in Detroit to process waste material on a pollution-free basis. E• Calculated the economic impact of renovating and expanding commercial property in Lower Manhattan N• Calculated the economic impact of constructing student housing and retail stores in Davie, FL 327 61 E• Calculated the economic impact of constructing residential housing near Harvard University E• Calculated the economic impact of developing mixed-use commercial centers in Broward County, FL E• Calculated the economic impact of renovating a Dallas apartment building E• Calculated the economic impact of renovating and operating a nursing home in Las Vegas, NV E• Calculated the economic impact of constructing a hotel and shopping center in Miami, FL E• Calculated the economic impact of developing a design center in Miami/Dade county, FL E• Calculated the economic impact of developing and operating a chain of children's playrooms and party facilities in South Florida E• Calculated the economic impact of developing a new stadium for the Nets basketball team, to be located in Brooklyn, NY E• Calculated the economic impact of developing a Marriott hotel in Washington, D.C. E• Calculated the economic impact of developing and operating a casino for foreign patrons in Las Vegas, NV E• Calculated the economic impact of operating a series of yogurt fast-food restaurants in South Florida E• Calculated the economic impact of constructing steel homes and commercial buildings in South Florida N• Calculated the economic impact of construction and operation of a farm distillery in Vermont N• Calculated the economic impact of purchase and renovation of deeply discounted residential properties in South Florida N• Calculated the economic impact of a hotel to be built near LaGuardia Airport in Queens, NY N• Calculated the economic impact for several mixed-use commercial and residential properties for a regional center covering southern Wisconsin and northern Illinois. 328 62 N• Calculated the economic impact for mixed-use commercial project in Flushing, NY E• Calculated the economic impact for major new hotel near the Washington, D. C. conference center N• Calculated the economic impact of an assisted living center in suburban Atlanta, GA N• Calculated the economic impact of an office tower in mid-town Manhattan for the diamond trade N• Calculated the economic impact of three mixed-use commercial and residential projects in Santa Clara County, CA N• Calculated the economic impact of six mixed-use commercial and residential projects in Los Angeles, Orange, Riverside, and San Bernardino counties N• Calculated the economic impact of operating a chain of pizza restaurants in southern Florida. N• Calculated the economic impact of constructing and operating an assisted living facility in Atlanta, GA E• Calculated the economic impact of constructing and operating an expansion of University Hospital in Cleveland, OH E• Calculated the economic impact of a wastewater treatment plant in Victorville, CA N• Calculated the economic impact of drilling for geothermal energy and constructing and operating power plants in several counties in Nevada E• Calculated the economic impact of a vacation club operation in Orlando, FL E• Calculated the economic impact of constructing and operating an extended-stay hotel in Boston, MA E• Calculated the economic impact of constructing and operating an assisted living facility in Walton County, FL N• Calculated the economic impact of manufacturing and constructing residential and commercial steel modular buildings in Lee County, FL E• Calculated the economic impact of a chain of yogurt and juice stores and restaurants in southern Florida 329 63 E• Calculated the economic impact of two mixed-use commercial developments in Orange County, CA. E• Calculated a Targeted Employment Area by census tracts for six counties in the Houston, TX metropolitan area E• Calculated the expansion of new hybrid car manufacturing facility from Mississippi to Tennessee and Virginia. E• Calculated the economic impact of construction and operation of a skilled nursing facility in Las Vegas, NV. N• Calculated the economic impact of construction and operation of a proton cancer treatment center and medical offices buildings in Los Angeles County, CA. E• Determined the economic impact of improving facilities at the Port of Baltimore in order to attract more shipping from the Panama Canal when the locks are widened. N• Calculated the economic impact of a major hotel and resort area in Ft. Lauderdale, FL. N• Calculated the economic impact of building steel homes in South Florida, including the local manufacture of steel fabricated parts. E• Calculated the economic impact of constructing and operating a hotel at Times Square in New York City. N• Calculated the economic impact of a mixed-used residential and commercial project in Atlanta, GA. E• Calculated the economic impact of expanding and opening new restaurants in Dallas, TX. In a separate project, calculated the economic impact of renovating, refurbishing, and operating a boutique hotel in Dallas, TX. E• Calculated the economic impact of building and operating low-income housing in Boston, MA. N• Calculated the economic impact of constructing and operating assisted living facilities in eight rural Texas counties. N• Calculated the economic impact of a mixed-use commercial project in Riverside County, CA. E• Calculated the economic impact of opening a manufacturing plant for "green" motor vehicles in the Detroit, Ml area. 330 64 E• Calculated the economic impact of constructing and operating hotels and restaurants in Columbus, MS. E• Calculated the economic impact of operating restaurants in the Hotel Win Hollywood, CA. N• Calculated the economic impact of a mixed-use commercial project in McCook, IL (suburban Chicago). N• Calculated the economic impact of constructing and operating a water-based amusement facility in San Diego, CA. N• Calculated the economic impact of a mixed-use commercial facility in suburban Cincinnati, OH (project is in KY). E• Calculated the economic impact of constructing and operating a casino, hotel, and restaurant in Las Vegas, NV. N• Calculated the economic impact of a new academic institution for alternative energy in Santa Clarita, CA. N• Calculated the economic impact of several mixed-used projects in San Francisco, Alameda County, Santa Clara County, and Fresno County. N• Calculated the economic impact of a super energy store and solar farm in Riverside County, CA. N• Calculated the economic impact of a prostate cancer treatment center in South Carolina. E• Calculated the economic impact of refurbishing and expanding retail space at the George Washington Bridge in New York City. E• Calculated the economic impact of building Atlantic Yards, new stadium for the New York Nets, in Brooklyn, NY N• Calculated the economic impact of an assisted living center and several mixed-use commercial facilities in the Reno, NV area. E• Calculated the economic impact of buying residential properties at deep discount prices, refurbishing and selling them, in South Florida. N· Calculated the economic impact for a fractional-ownership marina in Port Charlotte, FL, plus office space, retail stores, restaurants, and a home brokerage office. N• Calculated the economic impact of construction and operation of four retirement homes in Vermont. 331 65 E• Calculated the economic impact of an upscale retail shopping center in Vail, CO. and a medical office building in Edwards, CO (both in Eagle County). E· Calculated economic impact of a wind turbine manufacturing plant in Larimer County, CO N• Calculated economic impact of a hotel, retail stores, restaurants, office buildings, and bank facilities in Pasadena, CA N• Calculated economic impact of a luxury hotel and condominiums in Destin, FL N• Calculated economic impact of constructing and operating a mixed-use commercial project in Jupiter, FL E• Determined whether 17 possible restaurant locations in Miami/Dade and Broward Counties qualified as Targeted Employment Areas. E• Determined the economic impact of opening and operating a slot-machine casino in Hanover, MD, as part of a proposed EB-5 regional center for the Baltimore metropolitan area. N• Calculated the economic impact of renovating and expanding a restaurant on Martha's Vineyard, MA, as part of an EB-5 regional center in that state. N• Determined the economic impact of assembling and installing solar panels for residences in the state of LA. E• Determined a Targeted Employment Area for Dallas, TX as part of a proposed EB-5 regional center for the Dallas area. N• Calculated the economic impact for various mixed used projects for a proposed regional center for the entire State of Texas, including shopping centers, office buildings, restaurants, assisted living centers, medical technology facilities, and other personal and business services. N· Calculated the economic impact for the construction and operation of several fastfood restaurants in 10 counties in central California. N• Calculated the economic impact for the renovation and expansion of a shopping mall in Greenville, SC. E• Calculated the economic impact of buying existing apartment buildings at deep discount prices, renovating and operating them, in 21 counties in FL. N· Calculated the economic impact of building and operating an institute for proton cancer therapy for a proposed EB-5 regional center in Brooklyn, NY. 332 66 N• Calculated the economic impact of building and operating a mixed-use facility with medical offices, hotels, and apartments for a proposed EB-5 regional center in Queens, NY. E• Determined a Targeted Employment Area for Philadelphia, PA as part of a proposed EB-5 regional center for the Philadelphia area. N• Calculated the economic impact of a proposed office building and mixed-use facility for an EB-5 regional center in Dallas, Texas N• Calculated the economic impact for various mixed-use projects for a proposed EB-5 regional center in the greater New York City area, including an extended stay hotel, urgent care center, financial lending firm for alternative assets, retail stores, apartments, office space, warehouses, industrial "flex" space, entertainment centers, restaurants, conference and convention centers, nursing home and assisted living facilities, medical offices, medical technology facilities, and high-tech manufacturing. N• Calculated the economic impact of "green" hotels in 10 counties in Central California. N• Calculated the economic impact of generic projects in manufacturing, financial services, health services, hotels, and restaurants for a proposed regional center for the state of Florida. E• Calculated the economic impact of 12 different types of economic activity for an expansion of the Palm Beach Regional Center to five contiguous counties. N• Calculated the economic impact of a new auto parts plant in Alabama to supply parts to Kia automobiles. N• Calculated the economic impact of opening fast-food restaurants in Miami/Dade and Broward counties in FL. N• Calculated the economic impact of a mixed-use commercial center in Flushing, Queens County, NY. E• Calculated the economic impact of revitalizing and renovating part of the Brooklyn Navy Yard for "green" manufacturing facilities. E• Calculated the economic impact of 12 different types of economic activity for various counties in Charlotte and Sarasota counties, FL E· Calculated the economic impact of four new manufacturing and distribution companies in Palm Beach County, FL. N• Calculated the economic impact of developing a resort area and building residences in rural Tennessee. 333 67 N• Calculated the economic impact of developing and operating a resort area in Southern Arizona. N· Calculated the economic impact of revitalizing the depressed East Side of Cleveland, Ohio, with new commercial and industrial buildings. N• Determined the nationwide economic impact of a $1 billion investment in Mississippi for a new hybrid motor vehicle plant. N· Determined the economic impact of expanding a shipyard in Southeastern Louisiana. N• Calculated the economic impact of a new shopping center in Buena Vista, California, and two other generic shopping centers in Los Angeles and San Bernardino counties. E• Calculated the economic impact of enhancing resort areas in eight rural counties in Colorado. N• Calculated the economic impact of the rehabilitation of Fitzsimons Village in Aurora, Colorado, by adding an office building with medical labs, hotel, shopping center, and residences. E• Determined the economic impact of a mixed-use commercial center for the Kansas City metropolitan area. N· Calculated the number of jobs created for a film production company in New York City. N• Calculated economic impact of small-scale rooftop solar panels in various counties in California. N• Calculated economic impact of 7 different types of proposed businesses for a proposed regional center in the Bay Area of California. N• Determined the economic impact of a new biological research park, office building, and logistics center in Wooster, Ohio. E• Calculated the economic effect of a mixed-use urban renewal project in Cleveland, Ohio. N• Calculated economic impact of dairy farm and cheese processing plant in Northern California. 334 68 N· Determined economic impact of a shipyard, food processing plant, and semiconductor plant for a proposed regional center in Louisiana and Mississippi. N• Calculated the economic impact of a new gaming casino in Natchez, Mississippi. N· Developed an Input/output Model for Guam, which was then used to calculate the economic impact of several generic projects. N• Calculated the economic impact of a retail shopping center in suburban Los Angeles County. N• Prepared an economic impact analysis for the "timber to homes" project for a proposed regional center in Colorado. N• Calculated the economic impact for a proposed regional center in Baltimore, Maryland that would include the rebuilding of depressed areas in East Baltimore and along the riverfront. N· Prepared the economic analysis for a proposed EB-5 regional center for the entire state of Florida that included impact calculations for 14 different types of industries. N• Prepared the economic analysis for a proposed EB-5 regional center in the San Francisco Bay area that included calculations for 10 different types of industries. N• Prepared economic impact calculations for proposed EB-5 regional centers in New York City and Northeastern New Jersey. • Calculated the economic impact of a rehabilitated office building in Albuquerque, New Mexico, including the increase in high quality jobs. NEW MARKETS • Calculated the economic impact of a rehabilitated skilled nursing center in East Los Angeles, California, including the impact on nearby census tracts. NEW MARKETS N• Calculated the economic impact of development of warehouse and light industrial manufacturing space in Las Vegas, Nevada. N• Calculated the economic impact of rehabilitation and expansion of a vacation and health spa in Sharon Springs, New York N• Calculated economic impact of revitalizing an old resort hotel and adding new facilities for Lake Geneva, WI. • Calculated the employment and tax effects for a portfolio of projects undertaken under the New Market capital program. NEW MARKETS 335 69 E· Calculated generic employment changes for proposed EB-5 project for an Inland Port in Palm Beach County, FL N• Calculated the economic impact of construction of El Monte Village in El Monte, CA. • Calculated the economic impact of moving the Social Security Administration building in Birmingham, AL, and revitalizing the surrounding neighborhood. NEW MARKETS • Calculated the economic impact of rehabbing and expanding the Everett Mall in Everett, WA. NEW MARKETS • Determined the economic impact of building a new medical center in Charleston, SC NEW MARKETS N• Calculated economic impact of expanding Sugarbush resort in VT. Study included expansion of existing facilities and addition of new facilities. • Calculated economic impact for new market tax credit program in Portsmouth, N.H. Study included both overall economic impact, and the increase in employment and income and the decrease in the unemployment rate and incidence of poverty in individual census tracts. NEW MARKETS N• Calculated the economic benefits of EB-5 programs for foreign investors for a mixed-use construction project, including a hotel, retail stores, apartments, and a sports stadium in the Washington, D. C. metropolitan area N• Calculated the economic benefits of EB-5 programs for a mixed-used retail shopping center in the New York City metropolitan area. N• Calculated the economic benefits of EB-5 programs for foreign investors for proposed shopping centers in five separate counties in Southern California, including differential impacts of building the shopping centers in different counties. B. Projects for State and Local Governments • Constructed an econometric model for the State of New York and determined the change in employment, labor income, and tax revenues for 43 different tax changes proposed by the Governor's office. • Constructed a detailed econometric model for the State of Pennsylvania to determine the economic impact of the complete panoply of state taxes levied; the model contains over 1,000 equations. In cooperation with American Economics Group, the model was 336 70 developed to simulate the effect of changes in any state tax rate on households and businesses by income deciles, household status, age of individuals, size of households, and many other demographic variables. The change in business taxes can also be simulated for detailed industry classifications. • Determined whether the Washington, D.C. water and sewer authority should accept a high bid for a new waste disposal system. Decision to reject has saved the authority over $200 million, as construction prices turned down sharply as predicted. • Built an econometric model to determine the "tax gap" caused by Internet sales for the state of Minnesota. • Determined appropriate levels of shelter grants individual counties in New York State, and for utility allowances in New York City. Reviewed and prepared testimony in ongoing court cases in these areas. Calculated the economic impact of the revitalization of downtown Milwaukee, Wisconsin. C. Economic Impact of Casino Gaming • Built an econometric model to predict the growth of the gaming industry over the next decade, and the economic impact of that industry on employment and tax revenues at the Federal and state levels. • Estimated the economic impact of Indian casino gaming nationally and for the State of Wisconsin. • Determined the economic impact of the Oneida Indian gaming casino on the Green Bay metropolitan area. • Estimated the negative economic impact on the Milwaukee area if a new Indian gaming casino were to be built in Kenosha, Wisconsin. D. Economic Impact of Smoking Bans and Higher Taxes • Testified on economic impact of smoking bans in Canada; certified as an expert witness by the Court. • Examined the impact of smoking bans on restaurant sales in several different locations in the U.S. to determine how much sales changed when these bans were imposed, and the differential effects depending on whether these bans were partial or total. 337 71 • Determined the cross-border effects on retail sales from differential rates in cigarette, gasoline, and alcohol excise taxes • Determined the economic impact of higher cigarette taxes on minority group employment. • Estimated the economic impact and loss of Federal and state tax revenues when higher cigarette prices lead to increased smuggling. E. Consulting Projects for Travel and Tourism • Built an econometric model to predict tourism trips and revenues for the major regions of the U.S. economy. • Constructed econometric models to predict tourism in Las Vegas and Orlando. • Using the IMPLAN model, predicted economic impact of tourism and travel expenditures for all counties in Pennsylvania. F. Other Private Sector Consulting Projects Calculated the revenue gain at the Federal, state and local level generated by domestic manufacturing of Airbus parts and equipment. • Calculated the economic impact of proposed EPA bans on fluoropolymer production. • Estimated the size and economic importance of the fluoropolymer industry, and calculated economic impact of shutting down domestic production. • Built an econometric model to examine how U.S. tax and regulatory policies help determine whether the gold mining industry would invest in the U.S. or other countries. Testified before Congress to help defeat legislation inimical to the mining industry. • Built an econometric model to predict consumer bankruptcies, based on recent growth in consumer credit outstanding, the overall economic environment, and recent changes in credit regulations • Estimated the economic impact of the ethanol subsidy on the U.S. economy and Farm Belt States, including the impact on the balance of payments, employment, and tax receipts. Testified before Congress to help pass legislation to extent subsidies to the ethanol industry. 338 72 • Built an econometric model to determine the impact of updating and improving the system of locks on the Upper Mississippi River on corn prices and exports, farm income, and the overall economy. BOOKS PUBLISHED Macroeconomics for Managers, Blackwell, 2003 Practical Business Forecasting, Blackwell, 2002 Economic Impact of the Demand for Ethanol, Diane Publishing Company, 1998 How to Make Your Shrinking Salary Support You in Style for the Rest of Your Life, Random House, 1991 The Truth About Supply-Side Economics. Basic Books, 1983. A Supply-Side Model of the U. S. Economy, mimeo (prepared for Senate Finance Committee), 1980. An Econometric Model of the French Economy: O.E.C.D, March 1969. A Short-Term Forecasting Model. Econometric Gaming (with L. R. Klein and M. J. Hartley). Random House, 1969. Macroeconomic Activity: Theory, Forecasting and Control. Harper & Row, 1969. The Wharton Econometric Forecasting Model (with L.R. Klein), Economics Research Unit, Wharton School: University of Pennsylvania Press, 1967. Enlarged edition, 1968. Over 30 articles in major academic journals and publications (list on request) 339 I I Expedited Processing Requested For 1-924 To Attract Investment To Devastated Counties in New Jersey 340 EXHIBIT LIST 1-924 APPLICATION FOR REGIONAL CENTER U.S. IMMIGRATION FUND-NJ EXHIBIT NAME TAB NUMBER Formation of Applicant, U.S. IMMIGRATION FUND-NJ, LLC Atiicles of Formation of the U.S. Immigration Fund-NJ, LLC registered with the Secretary of State for Delaware on December 7, 2012. 1. Minutes of the Action of the Sole Member of U.S. Immigration Fund-NJ, LLC, in Lieu of Organization Meeting, dated December 7, 2012. 2. Company Agreement of U.S. Immigration Fund -NJ, LLC, executed by the Sole Member, dated December 6, 2012. 3. Certificate of Membership Interest No. 1 of U.S. Immigration Fund-NJ, LLC, duly executed on December 7, 2012. 4. Maps Outlining the Territory of the U.S. Immigration Fund-NJ. 5. Diagram of the Corporate Structure of the U.S. Immigration Fund-NJ. 6. Letter dated December 7, 2012 from U.S. Immigration Fund-NJ, LLC, requesting designation as an EB-5 Regional Center, and confirming that all funds raised from EB-5 foreign investors will be used entirely for expenses of the job creating project activities. 7. Financial Commitment Letter dated December 12, 2012, issued by U.S. Immigration Fund, LLC to U.S. Immigration Fund-NJ, LLC, with copy of the bank account statement of the operating checking account of U.S. Immigration Fund, LLC confirming a recent balance of over US$1 ,000,000. 8. Written statement dated December 7, 2012, of the principal of U.S. Immigration Fund-NJ, LLC confirming that all funds raised from EB-5 foreign investors will be used entirely for expenses of the job creating project activities. 9. 341 Formation of the Manager of U.S. Immigration Fund-NJ Certificate of Formation of U.S. Immigration Fund, LLC, issued by the Secretary of State for Delaware dated July 25,2012. 10. Entity Details web page report issued by the Secretary of State for Delaware (Division of Corporations) for U.S. Immigration Fund, LLC. 11. Operations & Financing of U.S. Immigration Fund-NJ Operations Plan of the U.S. Immigration Fund- NJ 12. Sample paid invoices by U.S. Immigration Fund, LLC for the expenses of applying for USCIS regional center designation for U.S. Immigration Fund-NJ, LLC. 13. Sample Subscription Documents for Investors Sample Investor Suitability Evaluation. 14. Sample Subscription Agreement. 15. Sample Escrow Agreement. 16. Sample Limited Liability Company Agreement of 88 Morgan Street Project. 17. Sample Offering Memorandum of 88 Morgan Street Project. 18. Project Business Plans & Economic Analysis Business Plan of 88 Morgan Street Project. 19. Economic Analysis of Job Creation of the 88 Morgan Street Project by Evans, Carroll & Associates dated December 7, 2012 (RIMS II methodology). 20. Sample Investor Flow Chart. 21. Sample Loan Terms. 22. Evidence for Request for Expedited Processing Memorandum Supporting Expedited Processing Request 23. U.S. Government Evidence of the Devastation from Hurricane Sandy 24. • • President Obama's Executive Order Declaring Disaster Area for New Jersey Counties that form part of the Regional Center's Territory, dated October 30, 2012. President Obama's Executive Order Creating the Hurricane Sandy Rebuilding Task Force dated December 7, 2012. 342 • President Obama's Appropriations Request to the House of Representatives for Hurricane Sandy Relief, dated December 7, 2012. • U.S. Department of Labor, Bureau of Labor Statistics, "Hurricane Sandy: A Pre-Storm Look at Affected Areas," dated November, 2012. • U.S. Department of Labor, "Employment Losses After Hurricane", dated December 5, 2012. Analysis on the impact of Hurricanes confirming the negative impact of the storm on employment and household earnings. Newspaper articles of the impact of Hurricane Sandy 25. Maps of the areas in New Jersey impacted by Hurricane Sandy showing the impact in Middlesex, Essex, Union and Hudson Counties (which form part of the Territory). 26. Photographs of the devastation wrought by Hurricane Sandy in cities located within the Territory including Jersey City; Union City & Elizabeth. 27. 343 EXHIBIT NAME TAB NUMBER Formation of Applicant, U.S. IMMIGRATION FUND-NJ, LLC Articles of Formation of the U.S. Immigration Fund-NJ, LLC registered with the Secretary of State for Delaware on December 7, 2012. 1. 344 'lJJefaware PAGE 1 %e Jirst State I, JEFFREY W. BULLOCK, SECRETARY OF STATE OF THE STATE OF DELAWARE, DO HEREBY CERTIFY THE ATTACHED IS A TRUE AND CORRECT COPY OF THE CERTIFICATE OF FORMATION OF "U.S. IMMIGRATION FUND NJ, LLC", FILED IN THIS OFFICE ON THE SEVENTH DAY OF DECEMBER, A.D. 2012, AT 4:52 O'CLOCK P.M. Jeffrey 'N Bullock, Secretary of State 5254960 8100 121311998 C TION: 0047507 DATE: 12-07-12 verify this certificate online delaware.gov/authver.shtml 345 State or Delaware Secretary or State Division o£ Corporations Delivered 05:38 PM 12/07/2012 FILED 04 ~52 PM 12/07/2012 SRV 121311998 - 5254960 FILE STATEn/DELAWARE LIMITED LIABILITY COMPANY CERTIFICATE ofFORl\tATION First: The name of the limited liability company is ..;;c;...c- - - - - - - - - ~J.S. Immigration Fund - NJ, LLC Second: The address of its registered office in the State of Delaware :2711 Centerville Road, Suite 400 Zip code _1..;..98..;..08 _ _ _ _ __ Corporation Service Company in the City of Wilmington ---"'------ The name of its Registered agent at such address is Third: (Use this paragraph only if the company is to have a specific effective date of dissolution: "The latest date on which the limited liability company is to dissolve is ") _______ . Fourth: (Insert any other matters the members determine to include herein.) ln Witness Whereof. the undersigned have executed this Certificate of Formation this '7th day of December 2012 By: fst Nicholas A. Mastroianni II Authorized Person (s) Name: Nicholas A. Mastroianni II 346 ~i,~ 'fiS.l:. IRS DEPl\RTMENT OF THE TREASURY INTERNAL REVENUE SERVICE '· CINCINNATI OH 45999-0023 Date of this notice: (b )(3) I 12-11-2012 Employer Identification Number: I Form: SS-4 Number of this notice: U.S IMMIGRATION FUND - NJ LLC NICHOLAS A MASTROIANNI II SOLE MBR 1295 US HIGHNAY 1 N PALM BEACH, FL 33408 CP 575 G For assistance you may call us at: 1·800-829-4933 IF YOU vJRITE, ATTACH THE STIJB AT THE END OF THIS NOTICE. (b)(3) l>IE ASSIGNED YOU AN EMPLOYER IDENTIFICATION NUMBER Thapk you ior applying for an Employer Identification Number (EIN). We assigned you EINI This EIN will identify you, your business accounts, tax returns, and Please keep tbis not.ice j n your permanent documents, even if you have no records. \J~:ltcttet: Location of Hudson County highlighted within the state of New Jerst'Y· Census Bureau map of .Jersey City, New Jersey Country United States New Jersey Jersey City is the seat of Hudson County, New Jersey, United States. As of the 2010 United States Census, the population of Jersey City was 247,597, making it the second-most populous city in New Jersey. 17 546 Metropolitan Statistical Areas of New Jersey Part of the New York City metropolitan area, Jersey City lies across from Lower Manhattan between the Hudson River and Upper New York Bay and the Hackensack River and Newark Bay. A port of entry, with 11 miles ( 18 km) of waterfront and significant rail connections, Jersey City is an impmiant transportation terminus and distribution and manufacturing center for the Port of New York and New Jersey. Service industries have played a prominent role in the redevelopment of its waterfront and the creation of one of the nation's largest downtowns. • After a peak population of316,715 measured in the 1930 Census, the city's population saw a half-century long decline to a low of 223,532 in the 1980 Census, but since then the city's population has grown, with the 2010 population reflecting an increase of 7,542 (+3.1%) from the 240,055 counted in the 2000 Census, which had in turn increased by 1L518 (+5.0%) from the 228,537 counted in the 1990 Cetl§.li§.. 18 547 Jersey City is bordered to the east by the Hudson River, to the north by Secaucus, North Bergen, Union City and Hoboken, to the west, across the Hackensack, by Keamy and Newark, and to the south by Bayonne. Given its proximity to Manhattan, Jersey City and Hudson County are sometimes referred to as New York City's sixth borough. r221 rnu 241 Image of Jersey City taken by NASA. (The red line demarcates the municipal boundaries of Jersey City.) Jersey City at the end of the 19th century. Among the oldest surviving houses in Jersey City is the stone Van Wagenen House of 1742. During the American Revolutionary War the area was in the hands of the British who controlled New York. Paulus Hook was attacked by Major Light Horse Harry Lee on August 19, 1779. After the war Alexander Hamilton and other prominent New Yorkers and New Jerseyeans attempted to develop the area that would become historic downtown Jersey City and laid out the city squares and streets that still characterize the neighborhood, giving them names also seen in Lower Manhattan or after war heroes (Grove, Varick, Mercer, Wayne, Monmouth, and Montgomery among them). During the 19th century, 60,000 fonner slaves reached Jersey City on one of the four routes of the Underground Railroad that led to the city.ll2.l 19 548 The old ferry docks at the CRRNJ tenninal in Liberty State Park in 2011 The City of Jersey was incorporated by an Act of the New Jersey Legislature on January 28, 1820, from portions of Bergen Township, while the area was still a part of Bergen County. The city was reincorporated on January 23, 1829, and again on February 22, 1838, at which time it became completely independent of North Bergen and was given its present name. On February 22, 1840, it became part of the newly created Hudson County.llill Jersey City and Hoboken in 1886 Soon after the Civil War, the idea arose of uniting all of the towns of Hudson County east of the Hackensack River into one municipality. A bill was approved by the State legislature on April 2, 1869, with a special election to be held October 5, 1869. An element of the bill provide that only contiguous towns could be consolidated. While a majority of the voters across the county approved the merger, the only municipalities that had approved the consolidation plan and that adjoined Jersey City were Hudson City and Bergen City.Lill The consolidation began on March 17, 1870, taking effect on May 3, 1870.Llli Three years later the present outline of Jersey City was completed when Greenville agreed to merge into the Greater Jersey City. 20th century Jersey City was a dock and manufacturing town for much of the 19th and 20th centuries. Much like New York City, Jersey City has always been a destination for new immigrants to the United States. In its heyday before World War II, German, Irish, and Italian immigrants found work at ~~olgate, Chloro or Dixon Ticonderoga. However, the largest employers at the time were the railroads, whose national networks tenninated on the Hudson River at Pavonia Tenninal, Exchange Place and Communipaw. ln 1908, the first pennanent, drinking water disinfection system in the U.S. was installed on the water supply for the City by John L. Leal.Llil The Hudson Tubes opened in 1911, allowing passengers to take the train to Manhattan as an alternative to the extensive ferry system. The Black Tom explosion occurred on July 30, 1916, as an act of sabotage on American ammunition supplies by German agents to prevent the materials from being used by the Allies in World War I. From 1917 to 1947, Jersey City was governed by Mayor Frank Hague. Originally elected as a refonn candidate, the Jersey City History Web Site says his name is "synonymous with the early 20 549 twentieth century urban American blend of political favoritism and social welfare known as bossism." Hague ran the city with an iron t1st while, at the same time, molding governors, United States senators, and judges to his whims. Boss Hague was known to be loud and vulgar, but dressed in a stylish manner earning him the nickname "King Hanky-Panky".llil In his later years in office, Hague would often dismiss his enemies as "reds" or "commies". Hague lived like a millionaire, despite having an annual salary that never exceeded $8,500. He was able to maintain a fourteen-room duplex apartment in Jersey City, a suite at the Plaza Hotel in Manhattan, and a palatial summer home in Deal, and travel to Europe yearly in the royal suites of the best liners. After Hague's retirement from politics, a series of mayors including John V. Kenny, Thomas J. Whelan and Thomas F. X. Smith attempted to take control of Hague's organization, usually under the mantle of political reforn1. None were able to duplicate the level of power held by llague,Lllil but the city and the county remained notorious for political corruption for years. r39 H40lf 41l By the 1970s, the city experienced a period of urban decline that saw many of its wealthy residents leave for the suburbs, rising crime, civil unrest, political cmruption, and economic hardship. From 1950 to 1980, Jersey City lost 75,000 residents, and from 1975 to 1982, it lost 5,000 jobs, or 9% of its workforce. Beginning in the 1980s, development of the waterfront in an area previously occupied by rail yards and factories helped to stir the beginnings of a renaissance for Jersey City. The rapid construction of numerous high-rise buildings increased the population and led to the development of the Exchange Place financial district, also known as 'Wall Street West', one of the largest banking centers in the United States. Large financial institutions such as UBS, Cioldrnan Sachs, Chase Bank, Citibank and Merrill Lynch occupy prominent buildings on the Jersey City waterfront, some of which are among the tallest buildings in New Jersey. Simultaneous to this building boom, the light-rail network was developed.Hll With 18,000,000 square feet (1 ,700,000 m2) of office space, it has the nation's 12th largest downtown. Education J "c s.J • The Yanitelli Center on the campus of Saint Peter's College. 21 550 Jersey City is home to the New Jersey City University (NJCU) and Saint Peter's College, both of which are located in the city's West Side district. It is also home to Hudson County Community College, which is located in Journal Square. The University of Phoenix has a small location at Newport, and Rutgers University offers MBA classes at Harborside Center. Hudson County Community College, a junior college located in the Journal Square area offering courses to heLLC the transition into a larger university, is praised for the culinary department and program.LL!ll Public schools Dr. Ronald E. McNair Academic High School The Jersey City Public Schools serve students threeyears and older from Pre-K 3 through twelfth grade. The district is one of 31 Abbott districts statewide,~ which are now referred to as "SDA Districts" based on the requirement for the state to cover all costs for school building and renovation projects in these districts under the supervision of the New Jersey Schools Development Authority.I Dr. Ronald E. McNair Academic High School was the second-ranked public high school in New Jersey out of 322 schools statewide, in New Jersey Monthlv magazine's September 2010 cover story on the state's "Top Public High Schools", after being ranked second in 2008 out of 316 schools.illlJ. and was selected as 41st best high school in the United States in News~veek magazine's national 2011 survey.Lilll William L. Dickinson High School is the oldest high school in the city and one of the largest schools in Hudson County in terms of student population. Opened in 1906 as the Jersey City High School it is one of the oldest school sites in the city, its a four-story Beaux-Arts building located on a hilltop facing the Hudson River.illll Liberty High School (New Jersey) is also one of the top schools in the Heights and the only high school that focuses on all academics. Other public high schools in Jersey City are James J. Ferris Lincoln High School, and Henry Snyder High School. The !.:!1!~:!lJdlill!!!Y Schools of Technology (which also has campuses in North Bergen and Secaucus) has a campus in Jersey City, which includes County Prep High School. 22 551 Among Jersey City's elementary and middle schools is Academy I Middle School and Frank R. Conwell Middle School #4, which is part of the Academic Enrichment Program for Gifted Students. Another school is Alexander D. Sullivan P.S. #30, an ESL magnet school in the Greenville district, which services nearly 800 Pre-k through 5th grade students. Jersey City also has 12 charter schools, which are run under a special charter granted by the Commissioner of the New Jersey Department of Education, including the Mathematics, Engineering, Technology and Science Charter School (for grades 6 - 12) and the Dr. Lena Edwards Charter School (for K-8), which were approved in January 20 ll.l..JlQl a) Catholic schools The Roman Catholic Archdiocese of Newark maintains a network of elementary and secondary Catholic schools serve every area of Jersey City. High schools administered by the Archdiocese arc Hudson Catholic Regional High School, St. Anthony High School, Saint Dominic Academy and St. Peter's Preparatory SchooJ.Ulil St. Mary High School - Closed in June 2011 due to declining enrollment[ Catholic grade schools include Our Lady of Mercy Academy, Our Lady of Czestochowa School, Resunection School, Sacred Heart School, St. Aloysius Elementary Academy, St. Anne School, St. Joseph School and St. Nicholas School. b) Other private schools Other private high schools in Jersey City include First Christian Pentecostal Academyr 1301 and Stevens Cooperative School.Llill Kel1111are High School is operated through the York Street Project as part of an effort to reduce rates of poverty in households headed by women, through a program that offers small class sizes, individualized learning and development oflife skills.LI.ill A number of other charter and private schools are also available. Genesis Educational CenteP is a private Christian school located in downtown Jersey City for ages newborn through 8th grade. The Jersey City Ati School is a private art school located in downtown Jersey City for all ages. 'T'he Jersey City Free Public Library has five regional branches, some of which have permanent collections and host exhibitions. At the Main Library, the New Jersey Room contains historical archives and photos. The Miller Branch is home to the Afro-American Historical and Cultural Society Museum. The Five Comers Branch specializes in works related to music and the tine atis, and is a gallery space. The library system also supports a bookmobile and five neighborhood libraries. Liberty State Park is home to Central Railroad of New Jersey Tenninal, the Interpretive Center, and Liberty Science Center, an interactive science and learning center. The center, which first opened in 1993 as New Jersey's first major state science museum, has science exhibits, the 23 552 world's largest IMAX Dome theater. numerous educational resources, and the original Hoberman sphereJ 1361 From the park, ferries travel to both Ellis Island and the Immigration Museum and Liberty Island, site of The Statue of Liberty. The Museum of Russian Art specializes in Soviet Nonconformist Art. The Jersey City Museum closed in December 2010 and is not expected to reopen. It showed contemporary work and sponsored community-oriented projects. Some stations of the Hudson Bergen Light Rail feature public art exhibitions, including those at Exchange Place, Danforth Avenuer 140 and Martin Luther King Drive station.ll::1:.1JI.l.m J Commerce Jersey City has several shopping districts, some of which are traditional main streets for their respective neighborhoods, such as Central, Danforth, and West Side Avenues. Journal Square is a major commercial district. Newport Mall is a regional shopping area.llill Portions of the city are part of an Urban Enterprise Zone. In addition to other benefits to encourage employment within the Zone, shoppers can take advantage of a reduced 312°/c) sales tax rate (versus the 7% rate charged statewide) at eligible merchants. Jersey City is home to the headquarters of Verisk Analvticsl 145 J and Lord Abbett, a privately held money management firm.Ll±Ql Companies such as Computershare, ICAP, ADP, and Fidelity Investments also conduct operations in the city.LL:lll Goya Foods, which is headquartered in adjacent Secaucus, announced plans in 2011 to open a 500,000-square-foot distribution center in Jersey City. Media Jersey City is located within the New York media market, most of its daily papers available for sale or delivery. The daily newspaper The Jersev Journal, located at its namesake Journal Square. covers Hudson County, its morning daily, Hudson Dispatch now defunct.lli2l The Jersev City Reporter is part of the Hudson Reporter group of local weeklies. The Jersey City Independent is a web-only news outlet that covers politics and culture in the city. 11501 The River Vie~v Observer is another weekly published in the city and distributed throughout the county. Another countywide weekly, El Especialito, also serves the city.illli The Dailv News maintains extensive publishing and distribution facilities at Liberty Industrial Park. WFMU 91.lFM (WMFU 90.1FM in the Hudson Valley), the longest nmning freeform radio station in the US, moved to Jersey City in 1998.Lllli WSNR-620 AM is also licensed in the city. Jersey City is the filming location for the 2012 reality television series Snooki & JWoww, a spinoff of Jersev Shore that stars Nicole "Snooki" Polizzi and Jetmifer "JWoww" Farley living at a former firehouse at 38 Mercer Street at Grove Street in Downtown Jersey City. Notable landmarks • See List o(Registered Historic Places in Hudson County. New Jersev 24 553 • Statue of Liberty National Monument, Ellis Island and Liberty Island • Liberty Science Center • The Katyil Memorial by well-known Polish-American artist Andrzej Pitynski on Exchange Place is the first memorial of its kind to be raised on American soil to honor the dead of the Katyt1 Forest Massacre. • The Colgate Clock, promoted by Colgate-Palmolive as the largest in the world, sits in Jersey City and faces Lower New York Bay and Lower Manhattan (it is clearly visible from Battery Park in lower Manhattan). The clock, which is 50 feet (15m) in diameter with a minute hand weighing 2,200 pounds, was erected in 1924 to replace a smaller one that was relocated to a plant in Jeffersonville, Indiana. • The Landmark Loew's Jersey Theatre, one of the five Loew's Wonder Theatres constructed in the 1920s and the only one located outside ofNew York City, is located in Journal Square. Currently presenting classic films, live perfonnances, and events while the theatre undergoes restoration by volunteers. • With the waterfront, the PATH and the light rail only steps away, as well as readily available ZIP cars on-site, the property is conveniently positioned for travel. • Phase II is located between three mass transit PATH hubs (Grove, Exchange Place, and Newport/Pavonia). The PATH (Port Authority Trans Hudson) system links Jersey City to Hoboken, Harrison, Newark and to both Downtown and Midtown in New York City within minutes. • The PATH is both reliable and efficient; businesses at Jersey City's Exchange Place say that 25 554 they are "across the street" from Manhattan's Wall Street. • The Light Rail, which connects Jersey City with Bayonne, Hoboken, and Weehawken is an award-winning, nationally recognized, innovative transit system. Its electric powered modem trolleys are both environmentally friendly as well as very heLLCful in decongesting New YorkNew Jersey traffic. • Jersey City is in close proximity to the Holland Tunnel, providing cars and buses with a simple, direct access to Manhattan. • A number of ferry lines go from Jersey City to Manhattan: NY Waterway provides several routes out of Jersey City and considered the largest concentration of service offered. • Since Jersey City is at the center of this major highway system, it's extremely easy for employees and goods to stream both in and out of the project location. Project Feasibility V. The owners financial assumptions are based on their many years of experience in the Real Estate market relating to ownership, management and development of similar projects. They have confim1ed the demand for luxury apartments in the area and the low level of recent or future planned development. They are projecting a rental income between I lfor a studio apartment up to ~er month for a 3 bedrooms. In the examples below for similar properties in the ~cation the monthly rentals start a studio apartment and up to a 3 bedroom.] I for ad lor (b)(4) 26 555 Neighborhood- Jersey City Powerhouse District Proposed Phase II • The Powerhouse District is a veritable hot bed of arts and culture, making this one of Jersey City's most desirable and blossoming neighborhoods. • Only minutes away from Manhattan, Jersey City attracts many young families and single workers, helping to make Jersey City a hub for nightlife, theater, art-galleries, Parks, museums and a thriving waterfront. • Jersey City boasts the largest mall in Hudson County, the Newport Mall, which has 3 levels and is anchored by Macy's, Sears, and JC Penney. • Jersey City has a modern medical center and is the seat of Jersey City State College and St. Peter's College. Liberty State Park, on the waterfront, is the site of the science museum and provides an excellent view of New York Harbor. 27 556 (W4) Rental Comparables 28 557 29 558 (Why- 3] 559 32 560 561 Financial Information The Project has a total projected cost of .. l ___....,l This is comprised of the following: (b)(4) • I tor the purchase of the Property which includes all the cost of obtaining the necessary governmental approvals, other entitlements, all pre-development costs and; • approximatell lm ro'ected costs to complete the construction, which includes of projected "hard" construction costs, and approximately proJected "soft" construction costs, FF&E, financing expenses and other costs. • (b)(4) bf The Owner is securing approximate!~ seijm corstmct;on debt the "Senior Construction Loans"). The Owner's equity investment oq ) and the..._-.-~~~ Loan to be provided by the Funding Company (the proceeds of which are derived from the EB-5 Investor) will be used solely for project construction hard costs or qualified soft costs. All EB-5 Investor capital investment ($500,000 for each individual) will be used as part of the Loan to pay for "hard" constmction costs and other qualified development expenses in accordance with the EB-5 Pilot Program guidelines. The following chart summarizes the projected Source and Use of funds, and shows the percentage participation in the Project for each funding source. Source of Funds (in millions) I Use of Funds (in millions) I (b)(4) 34 562 Construction The following budget represents the total costs to complete the construction of the Project on the Property. This includes projected construction costs to be funded with proceeds from the Senior Construction Loan together with the proceeds of the Loan from the Funding Company. As noted above, the Owner previously acquired the Property and paid for the costs related to obtaining the entitlements on the Property all represented by the total Land Costs in the budget below. All the Hard and Soft costs represented in the following budget are the projected future costs. The budget has been prepared by the joint effort of the owners who have many years experience in real estate development of similar projects. The cost used are based on current local costs provided by industry suppliers, i.e steel, cement, plumbing, electric etc. Construction Timeline Based on the construction timetable provided by the Owners and Triton Construction, it will take approximately 26 months for the Developer to complete the construction of the Building and obtain a final Cetiificate of Occupancy. Important construction milestones include the completion of the following: • • • • • • • Excavation~ February/March 2013 Concrete Foundation and Waterproofing -April20 13 Tower Building Construction begins April20 13 Tower Building Construction completed November 2013 Roofing and Tower Crane Areas February 2014 Interior Finishes- January 2015 Mechanicals, Electrical, Plumbing and Sprinkler Systems February 2015 • Punch List and Temporary Certificate of Occupancy items April 2015 Funding will be provided by the Funding Company in one (1) Phase and up to three (3) Phases. 35 563 Development Budget 36 564 Operating Assumptions 565 Detailed Operating Projections 566 VII. Investment Structure Description The Project Ownership and Management a Joint Ownership between the KABR Group and Kushner Companies (the "Owner") was formed in February 2012 for the purpose of acquiring and developing the Project. The Management Company of the Owner is structured as follows: 88 Morgan Street, LLC KABRGroup Kushner Comoanies Development Team In Febmary of 2012, the KABR Group and Kushner Companies (the "Ownership") established a Joint Venture to manage the entitlement, development, and operation of a 50 story rental apartment building, consisting of 417 rental apartments, 217 parking spaces, and approximately 4,000sqft of retail space adjacent to Trump Plaza I. (b)(4) Kushner Companies is a diversified real estate organization headquartered in New York with extensive experience in the ownership, management, development, and redevelopment of properties, owning over 13,000 multi-family apartments nationwide. Historically, the company has developed, acquired and successfully managed over 30,000 apartments, half of which was sold to AIG in 2007 fori I KABR Group is a diversified real estate investment company dedicated to the timely and opportunistic purchase of real estate assets in the New York metro region. The group currently owns and operates a diverse portfolio of properties in several states 38 567 Regional Center USlf as an approved EB-5 regional center within Bergen, Essex, Hudson, Middlesex, Monmouth, Morris, Passaic and Union Counties in New Jersey will sponsor the project located within its Territory. The USIF will manage and oversee all operations and Project activities to ensure compliance with all requirements through the design and execution of a database and reporting system that will provide the following information on an annual basis to USCIS: • • • • • • • • • • • Maintain a current listing of the officials and point of contact for the management and administration of the Project. This will include the USIF, the Management Company, the Funding Company and the Owner. Maintain a current list of approved methodologies to evaluate and track job creation in the Project that resulted from the Loan and the use of the proceeds from the Qualified Investors investment in the Funding Company. Maintain an inventory of the name, date of birth, and alien registration number of each Qualified Investor who makes an investment in the Funding Company and who files an EB5 Pilot Program I-526 Petition with USCIS, specifying whether the petition was approved, denied, or withdrawn by the Qualified Investor/petitioner. Maintain a current list of the country of nationality of each Qualified Investor who makes an investment in the Funding Company and files an I-526 Petition with USCIS. Maintain a current list of the U.S. municipality and state of residence of each Qualified lnvestor who makes an investment in the funding Company and files an 1-526 Petition with USC IS. Maintain a listing of the categories of approved business activity within the geographic Territory of the USIF that have received the Qualified Investor's capital, and in what amounts. Repmi the amounts invested by Qualified Investors and the amounts of other domestic capital that have been invested together in each job created by virtue of the Loan from the Funding Company to the Owner and distinguish between the separate totals for each. Report to USCIS the aggregate number of approved EB-5 alien investor I-526 Petitions per Federal Fiscal Year to date made through the USIF. Report the aggregate number of approved EB-5 alien investor I-829 petitions per Federal Fiscal Year to date through the USIF. Report the aggregate EB-5 alien capital amount invested through the USIF with respect to the Project for each Federal Fiscal Year to date since the approval and designation of the USIF as a regional center. Provide the combined aggregate of "new" direct and/or indirect jobs created by the Project and the use of the capital invested by the Qualified Investors for each Federal Fiscal Year to date since the approval and designation of the USIF as a regional center. 39 568 IX. I\larketing Plan to Attract Immigrant Investors The Funding Company has created an extensive marketing program to attract Qualified Investors. All marketing activities will be conducted exclusively outside the United States and in compliance with Rule 502(c) of the Securities Act. USlF has previously executed successful marketing plans to foreign immigrant investors under the EB-5 Pilot Program. The Program to attract the Investment from Qualified Investors is summarized as follows: (b)(4) 40 569 (b)(4) Economic Impact of Developing a Luxury Residential Tower as Part of the US Immigration Fund-NJ, LLC, an EB-5 Regional Center, in the New Jersey l\1etropolitan Area Dr. Michael K. Evans, Ph. D. of Evans, Carroll & Associates, Inc. was engaged to calculate the economic impact of this Project. The purpose of the Economic Report is to detennine the economic benefit of the Project within the community of Hudson County and the USIF' s approved Territory. ·rhe Economic Report measures the economic impact of the 88 Morgan Street Project in tenns of: • • • • • • Job Creation Household Income Demand for Business Services Demand for Utility Services Maintenance and Repair Construction New Supplier/Vendor Relationships Created with Manufacturers 41 570 ... (b)(4) XI. As stated in the Economic Report, Dr. Evans uses the RIMS II input-output model to calculate job creation for each categoty of economic activity. This model has been successfully used by Dr. Evans in over 100 studies and has been approved in many earlier applications by USCIS. The Economic Report contains the relevant information and analysis to establish that the Project will crcaterlnew permanent jobs, which is greater than the minimum number of jobs required under thcE~gram. Summary and Conclusion Based on the extensive data and research contained in this Business Plan, it is recommended that the Project, located in the USIF's approved Territory, be approved as a USCIS EB-5 Pilot Program Project. Recommendation for this approval is based on the following strengths: • The 88 Morgan Street Project creates the required number of permanent jobs. The Economic Report uses construction spending to rea liz~ new direct, indirect and induced jobs from construction and operations of the Project. • The Project is located within a Targeted Employment Area so conditional and (b)(4) permanent residency can be pursued with an investment of $500,000 rather than $1,000,000. • The Loan is intended to be repaid within years, subject to USC IS restrictions that may delay repayment based upon the finalization of the I-829 petition process for the Qualified Investors. The investment by each Qualified Investor is fully at risk. • The Funding Company will have a Secured Lien on all the 88 Morgan Street Property and improvements junior only to the senior bank financing. • In closing, it is clear that the Project to be constructed in Jersey City, New Jersey, strongly promotes economic growth, improves regional productivity, creates a significant level of jobs and will attract increased domestic and foreign capital into the area it serves. For these reasons, the Project will make a quality USCIS EB-5 Pilot Program Project. I 0 42 571 I. Contact Information Attention: Nicholas A. Mastroianni, II U.S. Immigration Fund GP- 88 Morgan Street, LLC U.S. Immigration Fund- NJ, LLC I 295 US Highway One, Suite 300 No11h Palm Beach, Florida 33408 Phonc:(561)799-1883 Fax: (561) 799-0061 lnfo@USIFund.com 43 572 EXHIBIT NAME Economic Analysis of Job Creation of the 88 Morgan Street Project by Evans, Carroll & Associates dated December 7, 2012 (RIMS II methodology). TAB NUMBER 20. 573 1 Economic Impact of Developing a Luxury Apartment Building Located in Jersey City, NJ, for the US Immigration Fund, LLC and its New EB-5 Regional Center in Northern New Jersey Prepared for: The U. S. Immigration Fund Prepared by: Michael K. Evans Evans, Carroll & Associates, Inc. 2785 NW 26th St. Boca Raton, FL 33434 561-470-9035 mevans@evanscarrollecon.com December 7, 2012 574 2 Table of Contents 1. Executive Summary 3 2. Tabulation of Principal Results 4 3. Introduction and Scope of Work 8 4. Brief Introduction to the RIMS II Model and its Multipliers 9 5. Methodology for Calculating Indirect Jobs 12 6. Economic Parameters for 8 Counties in New Jersey 17 7. Location of Hotel, Maps of Area, and TEA Analysis 32 8. Economic Impact of Construction Activity 36 9. Economic Impact of Rental Income 45 10. Summary Statistics for Entire Project 51 Appendix: Resume of Dr. Michael K. Evans 53 575 3 1. Executive Summary • The U.S. Immigration Fund, LLC plans to open a new EB-5 regional center in northern New Jersey. The first project will be a luxury apartment building located at 88 Morgan Street in Jersey City, NJ. The building will have 417 apartment units, 214 parking spaces, and about 4,000 square feet of retail space. (b)(4) • The economic impact results are calculated using the RIMS II input/output model for the following 8 counties in New Jersey: Hudson, Essex, Union, Bergan, Passaic, Morris, Monmouth, and Middlesex. These counties are chosen based on commuting patterns, as explained later in this report. 576 4 2. Tabulation of Principal Results Table A shows the annual revenue, the final demand multiplier, and the total number of jobs created by the construction and operations of the apartment building. Since the construction will take more than two years, the economic impact figures for the hard construction costs and appropriate soft costs include direct as well as indirect and induced jobs. All figures are permanent jobs. (b)(4) Table A. Summary of Employment and Revenue Estimates Table 81 shows the NAICS codes for each type of economic activity. descriptions are taken from: htJ:P :1/www. census .govleg i-bi n/sssd/naics/naicsrch?chart=20 12 The Table B1. NAICS Codes for Each Type of Activity 2362 _Nonresidential Building Construction 2361_Residential Building Construction 53111_Lessors of Residential Buildings and Dwellings 5413_Architectural, Engineering, and Related Services Table B-2 shows the print screen of all the RIMS II multipliers used in this study. Please note that for purchases of FF&E, the multiplier used is the construction multiplier excluding direct jobs, calculated asl I (b)(4) 577 5 Table 82. Print Screen of Multipliers (1) 230000 Construction 531000 Real estate 541300 Architectural, engineering, and related services 812900 Other personal services (2) (5) (6) (4) 2.0346 0.5600 11.7739 1.1005 1.80511.9882 1.4670 0.2244 13.2613 1.0810 1.9496 1.2985 1.9921 0.5483 10.2148 1.2297 1.8728 2.5874 1.8509 0.3285 9.0272 1.09512.8866 2.7787 (3) Region Defimtion Befgen, NJ; Essex, NJ; Hudson. NJ; MiddleseJI:, NJ; Monmouth, NJ; Morris, NJ: Passaic, NJ; Umon, NJ ·lndudes Government enterprises. 1. Each entry in column 1 represents the total dollar change in output that occurs m all mdustries lor each additional doiJar of output delivered to !mal demand by the 1ndustry corresponding to the ent!)' 2. Each entry 111 column 2 represents the total dollar change in earnings of households employed by all induslrtes for each additional doHar of delivered to fmal demand b')t the industry corresponding to the entry entry m column 3 represents the total change 111 number of JObs that occurs m a!! industnes lor each addil!onal1 million dollars of output 3 delivered to ftrml demand by the mduslry corresponding to the entry. Because the employment multipliers are based on 2008 data, the output delivered to final demand should be in 2008 dollars .+. Each entry in column 4 represents the total dollar change in value added that occurs in all industries for each additional dollar of output delivered to final demand by the industry corresponding to the en!!)'. 5. Each entry 1r1 column 5 represents the total dollar change tn earnings of households employed by ali industries for each additional dollar of paid d1rect!y to households employed by the mdustry corresponding to the entry entry 10 column 6 represents the total change in number of Jobs 1r1 all mdustnes for each addrtiooaljob in the rndustry correspond111g to 6 the entr; NOTE.--Mult1pliers are based on the 2002 Benchmark lnpu!-Oulput Table for the Nation and 2008 regional data. Industry list A identifies the rndustnes correspondmg to the enlnes. SOURCE.-Regionallnput-Output Modelmg System (RIMS II), Regional Product Div1sion, Bureau of Econom1c Analysis Table C shows the annual level of household income, and the output for utilities, maintenance and repair construction, manufacturing output, and professional and business support services for the construction and operation of the 88 Morgan Street apartment building. (b)(4) Table C. Summary Measures of Economic Impact for Construction and Rental income of 88 Morgan Street Apartment Building 578 6 Household Earnings (Labor Income) The jobs created by the project subsequently create new sources of household income. The household income created within the re ional center by the construction of the 88 Morgan Street apartment buildin · with another I I from the purchases of FF&E and rom architectural and engineering services. Household income would a so nse a outl Ifrom the rental income of the apartments, for a total of aboutl I (b)(4) The details used to calculate these figures are given throughout the report. Separate tables are provided for the total number of jobs created, the average earnings per new worker, and the total increase in earnings for construction and operation of the hotel. In each case, the RIMS II input/output model has been used to calculate the number of jobs in each major industrial classification, the average earnings per employee, and hence total earnings. The number of jobs by industrial classification is based on calculations imbedded in the RIMS II model for each of the activities as summarized in Table A and documented in detail throughout this report. Demand for Business Services, Utilities, Maintenance and Construction, and New SupplierNendor Relationships Created with Manufacturers (b)(4) The total economic impact of the regional center from the supplier purchases and business relationships for the construction and operation of the hotel will create approximately I lin additional economic activity across the region for the project. These supplier purchases are calculated from the indirect increase in output generated by the RIMS II model. It should be noted that some of these supplier industries might potentially locate within the regional center, and their economic output is included in this total. The estimate of supplier purchases is based on the commodity data in the RIMS II input-output model. This data specifies the amount and type of commodity input needed to maintain specific types of business operations. The model estimates the supplier purchases based on the types of jobs and number of jobs that will be created within the regional center. In addition, the model allocates the supplier purchases to businesses within the region, based on trade flow data from the U.S. Bureau of Economic Analysis. Utilities include services such as electricity, natural gas, and water and sewer facilities. The economic impact on utility services total abo uti respectively. Most of this represents the use of utilities by occupants of the apartments. (b)(4) I Maintenance and repair services include some building and construction activity uildings. The regional center would create an economic impact of about These expenditures represent permanent, ongoing maintenance on the g r they are completed; they do not reflect the initial construction costs. 579 7 New supplier/vendor relationships with manufacturers would create an economic impact of about Most of this output represents purchases of locally produced materials and parts for the construction of the building; some of these expenditures are the purchase of locally produced supplies for the hotel. I (b)(4) I The regional center will also create demand for various types of business services, including professional and scientific services, management of companies, administrative services, and building support and waste management services. The impact of this activity totals about Most of this represents payments to architects and engineers for the construction activities; it also includes outsourcing of professional service activities for operating the hotel, such as lawyers and accountants. I I The figures given in Table C represent only a brief summary of the detailed calculations that have been undertaken and are reported in tabular format throughout the report. The figure for utility output, for example, represents the sum of utility output for each of the categories of economic activity listed in Table A. For repair and maintenance construction office, this figure represents the l;mount s~ent times he input/output coefficient showing the total amount of output per f construction expenditures. The same methodology applies to all the other 1gures g1ven in Table C. Detailed figures may be found in the tables in Sections (8) and (9), which provide estimates of indirect jobs by industry category. 580 8 3. Introduction and Scope of Work The U.S. Immigration Fund, LLC plans to open a new EB-5 regional center in northern New Jersey. The first project will be a luxury apartment building located at 88 Morgan Street in Jersey City, NJ. The building will have 417 apartment units, 214 parking spaces, and about 4,000 square feet of retail space. This report contains the economic impact results for the construction of the building and apartment rentals, based on the RIMS II input/output model for the following 8 counties in New Jersey: Hudson, Essex, Union, Bergan, Passaic, Morris, Monmouth, and Middlesex. Section (4) contains a brief description of the RIMS II models and its various multipliers, and Section (5) contains additional information explaining how the indirect jobs are calculated. Section (6) contains and analyzes the key statistics for the sixcounty area used to calculate the RIMS II multipliers. Tables 6-1, 6-2, 6-3 and 6-4 show the data for employment by major occupation and industrial classification, income distribution by deciles, mean and median household and family income, and poverty rates for the eight counties used to calculate the multipliers for this study, and compares these figures to the U.S. totals or averages. Table 6-5 shows key labor market statistics over the past decade for the State of New Jersey, each of these counties, and the 8-county total. Tables 6-6 and 6-7 show the level and growth rate of population and personal income for these same areas. Table 6-8 shows the commuting patterns for Hudson County, and explains how these figures are used to determine the counties included in the multiplier analysis. Section (7) contains a map of the location of the building and maps of the area. Section (8) presents the economic impact tables for the hard construction costs, EB-5 eligible soft construction costs, and purchases of FF&E. Separate sets of tables are presented for each category of construction for the increase in employment, output, and earnings, and the average level of output and earnings per new worker, for the 20 major industrial classifications in the RIMS II input/output model. Section (9) discusses the number of jobs and revenue estimates for the rental income from the apartments, retail space, and parking, and presents similar tables for the detailed industry results. Section (10) summarizes the RIMS II model results. 581 9 4. Brief Guide to RIMS II Input/Output Model The following material has been condensed from the RIMS II User Handbook. Introduction and General Comments Effective planning for public- and private-sector projects and programs at the State and local levels requires a systematic analysis of the economic impacts of these projects and programs on affected regions. In turn, systematic analysis of economic impacts must account for the inter-industry relationships within regions because these relationships largely determine how regional economies are likely to respond to project and program changes. Thus, regional input-output (1-0) multipliers, which account for inter-industry relationships within regions, are useful tools for conducting regional economic impact analysis. In the 1970s, the Bureau of Economic Analysis (BEA) developed a method for estimating regional 1-0 multipliers known as RIMS (Regional Industrial Multiplier System), which was based on the work of Garnick and Drake. In the 1980s, BEA completed an enhancement of RIMS, known as RIMS II (Regional Input-Output Modeling System), and published a handbook for RIMS II users. In 1992, BEA published a second edition of the handbook in which the multipliers were based on more recent data and improved methodology. In 1997, BEA published a third edition of the handbook that provides more detail on the use of the multipliers and the data sources and methods for estimating them. RIMS II is based on an accounting framework called an 1-0 table. For each industry, an 1-0 table shows the industrial distribution of inputs purchased and outputs sold. A typical 1-0 table in RIMS II is derived mainly from two data sources: BEA's national 1-0 table, which shows the input and output structure of nearly 500 U.S. industries, and BEA's regional economic accounts, which are used to adjust the national 1-0 table to show a region's industrial structure and trading patterns. Using RIMS II for impact analysis has several advantages. RIMS II multipliers can be estimated for any region composed of one or more counties and for any industry, or group of industries, in the national 1-0 table. The accessibility of the main data sources for RIMS II keeps the cost of estimating regional multipliers relatively low. Empirical tests show that estimates based on relatively expensive surveys and RIMS 11based estimates are similar in magnitude. BEA's RIMS multipliers can be a cost-effective way for analysts to estimate the economic impacts of changes in a regional economy. However, it is important to keep in mind that, like all economic impact models, RIMS provides approximate order-ofmagnitude estimates of impacts. RIMS multipliers are best suited for estimating the impacts of small changes on a regional economy. For some applications, users may want to supplement RIMS estimates with information they gather from the region undergoing the potential change. To use the multipliers for impact analysis effectively, 582 10 users must provide geographically and industrially detailed information on the initial changes in output, earnings, or employment that are associated with the project or program under study. The multipliers can then be used to estimate the total impact of the project or program on regional output, earnings, and employment. RIMS II is widely used in both the public and private sector. In the public sector, for example, the Department of Defense uses RIMS II to estimate the regional impacts of military base closings. State transportation departments use RIMS II to estimate the regional impacts of airport construction and expansion. In the private-sector, analysts and consultants use RIMS II to estimate the regional impacts of a variety of projects, such as the development of shopping malls and sports stadiums. RIMS II Methodology RIMS II uses SEA's benchmark and annual 1-0 tables for the nation. Since a particular region may not contain all the industries found at the national level, some direct input requirements cannot be supplied by that region's industries. Input requirements that are not produced in a study region are identified using SEA's regional economic accounts. The RIMS II method for estimating regional 1-0 multipliers can be viewed as a three-step process. In the first step, the producer portion of the national 1-0 table is made region-specific by using six-digit NAICS location quotients (LQs). The LQs estimate the extent to which input requirements are supplied by firms within the region. RIMS II uses LQs based on two types of data: SEA's personal income data (by place of residence) are used to calculate LQs in the service industries; and SEA's wage-andsalary data (by place of work) are used to calculate LQs in the non-service industries. In the second step, the household row and the household column from the national 1-0 table are made region-specific. The household row coefficients, which are derived from the value-added row of the national 1-0 table, are adjusted to reflect regional earnings leakages resulting from individuals working in the region but residing outside the region. The household column coefficients, which are based on the personal consumption expenditure column of the national 1-0 table, are adjusted to account for regional consumption leakages stemming from personal taxes and savings. In the last step, the Leontief inversion approach is used to estimate multipliers. This inversion approach produces output, earnings, and employment multipliers, which can be used to trace the impacts of changes in final demand on and indirectly affected industries. Advantages of RIMS II There are numerous advantages to using RIMS II. First, the accessibility of the main data sources makes it possible to estimate regional multipliers without conducting relatively expensive surveys. Second, the level of industrial detail used in RIMS II helps avoid aggregation errors, which often occur when industries are combined. Third, RIMS II multipliers can be compared across areas because they are based on a consistent set 583 11 of estimating procedures nationwide. Fourth, RIMS II multipliers are updated to reflect the most recent local-area wage-and-salary and personal income data. Overview of Different Multipliers RIMS II provides users with five types of multipliers: final demand multipliers for output, for earnings, and for employment; and direct-effect multipliers for earnings and for employment. These multipliers measure the economic impact of a change in final demand, in earnings, or in employment on a region's economy. The final demand multipliers for output are the basic multipliers from which all other RIMS II multipliers are derived. In this table, each column entry indicates the change in output in each row industry that results from a $1 change in final demand in the column industry. The impact on each row industry is calculated by multiplying the final demand change in the column industry by the multiplier for each row. The total impact on regional output is calculated by multiplying the final demand change in the column industry by the sum of all the multipliers for each row except the household row. RIMS II provides two types of multipliers for estimating the impacts of changes on earnings: final demand multipliers and direct effect multipliers. These multipliers are derived from the table of final demand output multipliers. The final demand multipliers for earnings can be used if data on final demand changes are available. In the final demand earnings multiplier table, each column entry indicates the change in earnings in each row industry that results from a $1 change in final demand in the column industry. The impact on each row industry is calculated by multiplying the final demand change in the column industry by the multipliers for each row. The total impact on regional earnings is calculated by multiplying the final demand change in the column industry by the sum of the multipliers for each row. Employment Multipliers RIMS II provides two types of multipliers for estimating the impacts of changes on employment: final demand multipliers and direct effect multipliers. These multipliers are derived from the table of final demand output multipliers. (b)(4) The final demand multipliers for employment can be used if the data on final demand changes are available. In the final demand employment multiplier table, each column entry indicates the change in employment in each row industry that results from ~ l;hange in final demand in the column industry. The impact on each row industry is calculated by multiplying the final demand change in the column industry by the multiplier for each row. The total impact on regional employment is calculated by multiplying the final demand change in the column industry by the sum of the multipliers for each row. 584 12 The direct effect multipliers for employment can be used if the data on the initial changes in employment by industry are available. In the direct effect employment multiplier table, each entry indicates the total change in employment in the region that results from a change of one job in the row industry. The total impact on regional employment is calculated by multiplying the initial change in employment in the row industry by the multiplier for the row. Choosing a Multiplier The choice of multiplier for estimating the impact of a project on output, earnings, and employment depends on the availability of estimates of the initial changes in final demand, earnings, and employment. If the estimates of the initial changes in all three measures are available, the RIMS II user can select any of the RIMS II multipliers. In theory, all the impact estimates should be consistent. If the available estimates are limited to initial changes in final demand, the user can select a final demand multiplier for impact estimation. If the available estimates are limited to initial changes in earnings or employment, the user can select a direct effect multiplier. 5. Methodology for Calculating Indirect Job Gains In spite of the explanation of the RIMS II model given directly above, some USC IS adjudicators have asked for further clarification about how that model is used to determine the increase in the number of indirect jobs. That is an important issue because, unlike the direct job count, which can be verified by USCIS from various payroll and withholding documents, the calculation of indirect jobs cannot be verified directly but depends on mathematical calculations. The general concept is based on the coefficients in the input/output model itself (the same methodology applies to RIMS II, IMPLAN, or any other generally recognized and accepted input/output model). In any given year, the government calculates how much input is used for a given production of output. The detailed figures are taken from the Economic Censuses taken once every five years; the figures are then updated from various annual supplements. Basically the process has two steps, each of which is described next in greater detail. The first is to determine the amount of output, and hence the number of jobs, required to produce a given amount (say $1 million) of the final product or service. These are national coefficients. The second is to determine what proportion of those goods and services are purchased within the local region (the regional purchase coefficients, or RPCs). In the case of a manufacturing process, the national coefficients are based on production functions: how much coke per ton of steel, how much steel per motor vehicle, how much flour for a loaf of bread, and so on. However, most of the jobs are 585 13 created in the service sector, where Commerce Department data are used to determine, for example, how much restaurants spend on laundry services, how much airlines spend for attorneys, and so on. These figures are based on information contained in the various Economic Censuses. The national coefficients would also determine, for example, how many architects and engineers would be hired for a construction project of a given scope and size, and how many new employees at financial institutions would be required to handle the additional cash flow generated by the new business. Both of these are discussed below in greater detail. Even after these coefficients are determined, however, the regional purchase coefficients (RPC) must still be estimated. If, for example, a trucking firm spends 1% of its revenue on accountants, how much of that money is spent on local firms, and how much is spent outside the region? That answer depends on various factors. The most important is the amount of the good or service produced within the region. If a trucking firm, for example, were located in a small county with no accountants, obviously it would not spend any of that money locally. That sets a lower limit but is not generally the case. Instead, a balancing algorithm is used. Suppose, for example, that all the firms producing, distributing, or selling goods and services in a given county spent $10 million on accounting services. Also, suppose that total billings of all accountants in the county were $20 million. In that case, local accountants could handle all the local business, plus business from neighboring counties. If, on the other hand, total accountant billings in the county were only $5 million, local firms could not spend more than half of the money on local accountants. Of course it is possible that there are adequate resources in the county but local firms choose to use companies outside the county; perhaps prices or service is better. No input/output model can account for such anomalies. On the other hand, given transportation costs, it would be highly unusual for a firm to be located in a given location and not serve the nearby businesses, instead choosing only those clients who were farther away. The RIMS II model- and other regional input/output models- assigns regional purchase coefficients (RPCs) in all cases where the local industry purchases goods and services from local firms. This matrix could have as many as 406 * 406 = 164,836 elements, although in practice many of them are zero. Large counties with a wide variety of businesses have more non-zero elements than small counties with relatively few businesses. In general, the RPCs tend to be close to zero for most manufactured goods, and close to unity for most services. While there are many exceptions to this rule, most firms will use financial, professional, business, and health care services that are located in that county or contiguous areas. 586 14 To take just one example of many, consider the number of new jobs created by architects and engineers for a new construction project of any given size. Most construction cost manuals, such as those published by R. S. Means, indicate that those costs are usually about 5% to 9% of the total job. According to the national input/output file, the figures are 9.2% for commercial construction and 4.5% for industrial construction. These figures can be compared with the proportions of architects and engineers in the specific regional area, based on the RIMS II data that are used to determine the economic multipliers in the specific county group. For this 8-county group, the input/output model shows proportions of 8.4% for commercial and 4.3% for industrial construction, indicating that 91% of the architects and engineers for commercial jobs and 95% for industrial jobs are hired locally. These figures are fairly typical of other locations and regions; except for "signature" buildings designed by famous names, most architects and engineers live in the same region as the buildings that are being constructed. To summarize to this point, the number of indirect jobs as a proportion of direct jobs depends on (a) the national relationships, and (b) the regional purchase coefficients. In our presentation for the businesses in this report, we provide further discussion of those industries with the largest number of indirect jobs. However, there are a few industries that produce relatively large numbers of jobs in almost all cases, and these can be generally discussed at this stage in order to avoid repeating this information several times. The industries discussed here include banking, real estate, legal and accounting, architects and engineers, other professional services, employment services, other business services, restaurants, and government. In all of these cases, the vast majority of workers are hired locally. Our comments for the rest of this section are based on the assumption of a $10 million investment; the results are linear. Banking and credit: On an aggregate basis, for every $10 million in deposits, very broadly defined (M3), there is about 1 new banking employee. As a rough rule of thumb, the size of M3 is roughly equal to the size of GOP. Hence we would expect about 1 new banking employee for every $10 million increase in output, as calculated from the RIMS II model. (b)(4) Real estate: Additional real estate employees are based on two factors. One is the leasing activity of the new building, and the other is the increase in residential real estate activity as people get new jobs, either within the area or by moving into the area. On a lease basis, a $10 million investment is likely to result in a building of 80,000 square feet. If it leases for $40/square foot, that would be $3.2 million in annual lease payments, and with a 6% commission would generate $192,000 in revenues, which would account for about 2 new real estate employees (the figure would be less for industrial buildings). The increase in employment would also result in some real estate activity as workers moved into better housing in the same location, or moved in from other areas. In a normal year, there are about 7 million sales of new and existing homes for a labo~ of about 140 million, or 5%. Hence if the total increase in employment wert__Jthat would implyOal estate transactions; if they average 587 (b)(4) 15 $200,000 at a 6% commission, that would be $12,000 per home or a total of $120,000, which would support approximately 1 new real estate job. Legal & Accounting: Each of these accounts for about 1% of total employment; so if there were a total increase Qobs, we would expect an average of[}ew employees in this classification. Architects & Engineers: almost all of these jobs stem from the new construction activity. This category has alrea~y been discussed above; for a $10 million construction project, which would create abo w construction jobs, we would expect abon new jobs in architects and engineers for a commercial project and Jw jobs for~ industrial project. I I Other professional services: This category includes employees in consulting, scientific research and development, advertising, and management, as well as several other smaller, specialized categories. In general, consulting, management, and the all other category each account for about 1% of total employment, and R&D and advertising account for about %% of total employment, for a total of about 4% of total employment. This figure will vary widely depending on the degree to which consultants and R&D are used by the new business. Employment services: On a national average basis, 1 out of every 45 people is employed by this industry. Here again, the figures will vary widely depending on (a) the proportion of people who are hired through employment agencies, and (b) the proportion of the work that is outsourced to employment services. Business support services include office management, travel arrangement, security, credit bureaus, telemarketing, and back-office jobs that are outsourced, such as direct mail, copying, and duplicating services. The back-office services would vary widely depending on the type of new business; retail stores, for example, would print and distribute more advertising brochures than a manufacturing operation. On a national average basis, these jobs account for about 2% of total employment. Building support services, which includes janitorial services, lawn maintenance, and waste management. For an office building of 80,000 square feet, the cost would be approximately $2/sq ft per year for maintenance, or $160,000, which would support about 4 new jobs; here again, the figure would be lower for industrial buildings. Restaurants: This category reflects business meals. Of course the number of business meals depends greatly on the type of business; lawyers, accountants, and consultants will have more business meals than manufacturing plants or water treatment facilities. On a national average basis, Commerce Department figures show that total restaurant sales in 2007 were $580 billion, while consumer expenditures at restaurants were $500 billion. However, that figure also includes tips, which are not included in restaurant sales. After subtracting 15% for tips, that indicates about $425 billion in food and beverage purchases by consumers, indicating about $155 billion for business expenses. With a labor force of approximately 140 million, that is equivalent to about $1,100 per employee. Hence if 200 new jobs were created, business meal 588 16 expenses would rise an average of $221,000, which would imply about 4.5 new indirect jobs in the restaurant industry. These figures are likely to be somewhat higher when direct jobs are created for office buildings and hotels. Government: The increase in public sector employees represents the amount funded by increased real estate taxes. For a construction project with $10 million in hard costs, the total value is likely to be between $15 and $20 million when one includes furniture, fixtures, equipment, and land values. Using a national average property tax ~ate of 1%; that would raise $150,000 to $20o,oqg}(~hich would createc:J new jobs m the public sector. 589 17 6. Economic Parameters for Hudson, Essex, Union, Bergen, Passaic, Morris, Middlesex, and Monmouth Counties This section is organized as follows. Tables 6-1, 6-2, 6-3 and 6-4 show the data for employment by major occupation and industrial classification, income distribution by deciles, mean and median household and family income, and poverty rates for the eight counties used to calculate the multipliers for this study, and compares these figures to the U.S. totals or averages. Table 6-5 shows key labor market statistics over the past decade for the State of New Jersey, each of these counties, and the 8-county total. Tables 6-6 and 6-7 show the level and growth rate of population and personal income for these same areas. Table 6-8 shows the commuting patterns for Hudson County, and explains how these figures are used to determine the counties included in the multiplier analysis. Table 6-1. Key Economic Statistics for Hudson and Counties Compared to the U. S. Economy, 2010 Data Category EMPLOYMENT STATUS Population 16 years and over In labor force Civilian labor force Employed 1--Unemployed Armed Forces Not in labor force Essex % Hudson % u.s. % 100.0% 64.4% 63.9% 57.0% 6.9% 0.4% 35.6% 612,565 400,770 400,523 344,146 56,377 247 211,795 100.0% 65.4% 65.4% 56.2% 9.2% 0.0% 34.6% 520,559 359,487 359,408 312,480 46,928 79 161,072 100.0% 69.1% 69.0% 60.0% 9.0% 0.0% 30.9% 2010 243,832,923 156,966,769 155,917,013 139,033,928 16,883,085 1,049,756 86,866,154 OCCUPATION Civilian employed population 16+ Management & professional Service occupations Sales and office occupations Construction, maintenance, repair Production & transportation 344,146 128,336 70,110 83,284 24,850 37,566 100.0% 37.3% 20.4% 24.2% 7.2% 10.9% 312,480 118,514 54,500 75,993 22,231 41,242 100.0% 37.9% 17.4% 24.3% 7.1% 13.2% 139,033,928 49,975,620 25,059,153 34,711,455 12,697,304 16,590,396 100.0% 35.9% 18.0% 25.0% 9.1% 11.9% INDUSTRY Civilian employed population 16+ Agriculture & mining Construction Manufacturing Wholesale trade Retail trade Transportation & utilities Information Finance, insurance, & real estate Professional & administrative Educational services & health care Arts, entertain, hotel, food svcs 344,146 839 19,412 21,063 8,192 33,180 24,477 11,875 31,756 44,064 89,318 25,779 100.0% 0.2% 5.6% 6.1% 2.4% 9.6% 7.1% 3.5% 9.2% 12.8% 26.0% 7.5% 312,480 88 17,452 25,036 12,919 31,641 24,887 10,909 34,463 42,737 60,295 23,187 100.0% 0.0% 5.6% 8.0% 4.1% 10.1% 8.0% 3.5% 11.0% 13.7% 19.3% 7.4% 139,033,928 2,646,975 8,686,813 14,439,691 3,941,066 16,203,408 6,843,579 3,015,521 9,275,465 14,710,089 32,311,107 12,859,572 100.0% 1.9% 6.2% 10.4% 2.8% 11.7% 4.9% 2.2% 6.7% 10.6% 23.2% 9.2% 590 18 Other private services Public administration 17,380 16,811 5.1% 4.9% 16,461 12,405 5.3% 4.0% 6,913,449 7,187,193 5.0% 5.2% INCOME AND BENEFITS Total households Less than $10,000 $10,000 to $14,999 $15,000 to $24,999 $25,000 to $34,999 $35,000 to $49,999 $50,000 to $74,999 $75,000 to $99,999 $100,000 to $149,999 $150,000 to $199,999 $200,000 or more Median household income (dollars) Mean household income (dollars) 275,417 28,243 16,478 28,288 25,719 32,635 44,176 31,262 32,280 14,778 21,558 52,394 80,167 100.0% 10.3% 6.0% 10.3% 9.3% 11.8% 16.0% 11.4% 11.7% 5.4% 7.8% 238,692 19,411 14,462 24,152 20,533 29,768 44,776 26,814 31,304 11,757 15,715 54,817 76,339 100.0% 8.1% 6.1% 10.1% 8.6% 12.5% 18.8% 11.2% 13.1% 4.9% 6.6% 114,567,419 8,757,190 6,668,865 13,165,380 12,323,322 16,312,385 20,940,859 13,526,500 13,544,839 4,809,998 4,518,081 50,046 68,259 100.0% 7.6% 5.8% 11.5% 10.8% 14.2% 18.3% 11.8% 11.8% 4.2% 3.9% Families Less than $10,000 $10,000 to $14,999 $15,000 to $24,999 $25,000 to $34,999 $35,000 to $49,999 $50,000 to $74,999 $75,000 to $99,999 $100,000 to $149,999 $150,000 to $199,999 $200,000 or more Median family income (dollars) Mean family income (dollars) Per capita income (dollars) 175,731 12,211 6,627 15,282 15,561 19,250 26,811 21,661 25,935 13,439 18,954 66,439 97,237 29,674 76,089,045 3,824,251 2,660,781 6,770,812 7,332,318 10,578,051 14,990,631 10,638,931 11,261,766 4,130,868 3,900,636 60,609 79,338 26,059 100.0% 5.0% 3.5% 8.9% 9.6% 13.9% 19.7% 14.0% 14.8% 5.4% 5.1% Median earnings for workers Median earnings for male full-time Median earnings for female full-time 32,961 49,597 41,317 104.7% 117.4% 100.0% 6.9% 3.8% 8.7% 8.9% 11.0% 15.3% 12.3% 14.8% 7.6% 10.8% 109.6'/(, 122J.i% 113.9% 114.1% 106.791) 113.0% 147,709 8,382 7,409 14,311 12,795 20,209 27,360 16,708 21,969 8,032 10,534 57,978 81,559 29,798 35,677 50,563 41,173 109,5% 111.8% 100.0% 5.7% 5.0% 9.7% 8.7% 13.7% 18.5% 11.3% 14.9% 5.4% 7.1% 95.7% 102-8% 114.3% 123.5~'{ 108.7% 112,6~1) 28,899 46,500 36,551 PERCENTAGE BELOW POVERTY LEVEL 13.9% 1230% 13.7% 12Uo/. 11.3% All families 15.3% 16.7% l()ZU% 16.5% 107.8% All people Please note that in these tables, the percentage figures in regular type refer to the overall category in that column, while the figures in are relative to the U.S. average figures The income distributions in Essex and Hudson Counties can best be described as "fat.tailed", with greater than average percentages in the highest and lowest income brackets. To elaborate, 11% of families in each of the two counties earn less than $15,000 a year, compared to 8% nationally - while 11% of Essex families and 7% of Hudson families earn $200,000 or more, compared to 5% for the U.S. This dichotomy can also be seen in the high mean household incomes ($80K in Essex and $76K in 591 19 Hudson, versus $68K for the U.S.) and large share of families living in poverty (14% in each county, versus 11% for the nation). Turning to the occupation data, both counties have lower than average shares in manufacturing as well as the arts, entertainment, hotel, and food service industries and higher than average shares in transportation and finance. The counties differ in the mix of workers in the education and health care industries, as Essex (26%) has a higher proportion than average and Hudson has a lower proportion at 19% - the smallest of the five counties. Table 6-2. Key Economic Statistics for Union and Bergen Counties Compared to the U. 5. Economy Category Union u.s. % Bergen % 420,828 100.0% 727,196 100.0% 243,832,923 100.0% 291,604 69.3% 478,944 65.9% 156,966,769 64.4% 291,560 69.3% 478,892 65.9% 155,917,013 63.9% 255,497 60.7% 438,302 60.3% 139,033,928 57.0% Unemployed 36,063 8.6% 40,590 5.6% 16,883,085 6.9% Armed Forces 44 0.0% 52 0.0% 1,049,756 0.4% 129,224 30.7% 248,252 34.1% 86,866,154 35.6% 255,497 100.0% 438,302 100.0% 139,033,928 100.0% Management & professional 90,913 35.6% 201,513 46.0% 49,975,620 35.9% Service occupations 43,165 16.9% 55,159 12.6% 25,059,153 18.0% Sales and office occupations 62,273 24.4% 114,453 26.1% 34,711,455 25.0% Construction, maintenance, repair 22,283 8.7% 28,908 6.6% 12,697,304 9.1% Production & transportation 36,863 14.4% 38,269 8.7% 16,590,396 11.9% 255,497 100.0% 438,302 100.0% 139,033,928 100.0% 177 0.1% 919 0.2% 2,646,975 1.9% 8,686,813 6.2% EMPLOYMENT STATUS Population 16 years and over In labor force Civilian labor force Employed Not in labor force % 2010 OCCUPATION Civilian employed population 16+ INDUSTRY Civilian employed population 16+ Agriculture & mining Construction 17,557 6.9% 24,897 5.7% Manufacturing 24,870 9.7% 40,015 9.1% 14,439,691 10.4% Wholesale trade 10,869 4.3% 19,216 4.4% 3,941,066 2.8% Retail trade 25,990 10.2% 47,458 10.8% 16,203,408 11.7% Transportation & utilities 18,211 7.1% 22,703 5.2% 6,843,579 4.9% 7,394 2.9% 16,169 3.7% 3,015,521 2.2% Information 592 20 Finance, insurance, & real estate 21,793 8.5% 45,159 10.3% 9,275,465 6.7% Professional & administrative 29,021 11.4% 58,730 13.4% 14,710,089 10.6% Educational services & health care 53,596 21.0% 99,084 22.6% 32,311,107 23.2% 6.5% 12,859,572 9.2% Arts, entertain, hotel, food svcs 19,342 7.6% 28,699 Other private services 13,531 5.3% 20,540 4.7% 6,913,449 5.0% Public administration 13,146 5.1% 14,713 3.4% 7,187,193 5.2% Total households 183,882 100.0% 333,002 100.0% 114,567,419 100.0% Less than $10,000 10,740 5.8% 15,136 4.5% 8,757,190 7.6% $10,000 to $14,999 6,138 3.3% 12,370 3.7% 6,668,865 5.8% $15,000 to $24,999 15,300 8.3% 24,587 7.4% 13,165,380 11.5% $25,000 to $34,999 14,321 7.8% 23,753 7.1% 12,323,322 10.8% 10.0% 16,312,385 14.2% INCOME AND BENEFITS $35,000 to $49,999 23,549 12.8% 33,430 $50,000 to $74,999 31,943 17.4% 53,157 16.0% 20,940,859 18.3% $75,000 to $99,999 21,678 11.8% 40,999 12.3% 13,526,500 11.8% $100,000 to $149,999 31,378 17.1% 56,634 17.0% 13,544,839 11.8% $150,000 to $199,999 11,796 6.4% 34,456 10.3% 4,809,998 4.2% $200,000 or more 17,039 9.3% 38,480 11.6% 4,518,081 3.9% Median household income (dollars) 66,665 133.2% 77,389 154.6% 50,046 94,659 138 . 731, 105,488 131,811 100.0% 236,574 100.0% 76,089,045 100.0% 6,001 4.6% 6,237 2.6% 3,824,251 5.0% 2.1% 2,660,781 3.5% Mean household income (dollars) Families Less than $10,000 68,259 $10,000 to $14,999 2,973 2.3% 4,959 $15,000 to $24,999 8,903 6.8% 11,365 4.8% 6,770,812 8.9% $25,000 to $34,999 8,224 6.2% 12,914 5.5% 7,332,318 9.6% $35,000 to $49,999 15,365 11.7% 19,255 8.1% 10,578,051 13.9% $50,000 to $74,999 23,157 17.6% 36,079 15.3% 14,990,631 19.7% $75,000 to $99,999 15,838 12.0% 29,860 12.6% 10,638,931 14.0% $100,000 to $149,999 25,630 19.4% 49,242 20.8% 11,261,766 14.8% $150,000 to $199,999 10,400 7.9% 31,650 13.4% 4,130,868 5.4% $200,000 or more 15,320 11.6% 35,013 14.8% 3,900,636 5.1% Median family income (dollars) 77,361 127.6% 97,394 160.7% 60,609 107,812 135.9'7~ 123,384 155.5% 79,338 Per capita income (dollars) 33,267 12/.J'/i, 39,409 1512')1; 26,059 Median earnings for workers 35,214 121.9% 44,350 1.53.5 1?~ 28,899 Median earnings for male full-time 51,195 110.1% 63,074 1356%) 46,500 Median earnings for female full-time 43,496 119.0'){ 51,103 139.1:\% 36,551 Mean family income (dollars) 593 21 PERCENTAGE BELOW POVERTY LEVEL All families 8.70% 77,0% 5.6% 49,6'% 11.30% All people 11.10% 77 CC'' '..;,.,,,.;}<.) 6.8% 44.4%, 15.30% Union County is mixed, with many high-income suburban areas but also lowincome areas by the railroad tracks. As a result it has a high proportion of households and families at the upper end of the income scale, but almost a proportional amount at the lower end of the scale. As a result, while the median and mean income levels are above average and the poverty levels are below average, these figures are smaller than would be expected from a typical suburban county, and well below Bergen County. By comparison, Bergen County has about three times the national average in the top income bracket, and only about half in the bottom bracket. As a result, median family income for Union County is 128% of the national average, while the figure for Bergen County is 161% of the average. Similarly, the poverty rate for all families is 77% of the national average for Union County, but only 50% for Bergen County. In terms of employment distribution by occupation, both counties have a fairly robust manufacturing base, only slightly below the national average. Most of the other sectors are also close to those averages, with slightly higher proportions for financial and professional services. Table 6-3. Key Economic Statistics for Morris and Passaic Counties Compared to the U. 5. Economy Category Morris % Passaic % EMPLOYMENT STATUS u.s. % 2010 389,318 100.0% 392,154 100.0% 243,832,923 100.0% 265,835 68.3% 251,834 64.2% 156,966,769 64.4% 265,835 68.3% 251,834 64.2% 155,917,013 63.9% 242,762 62.4% 223,928 57.1% 139,033,928 57.0% Unemployed 23,073 5.9% 27,906 7.1% 16,883,085 6.9% Armed Forces 0 0.0% 0 0.0% 1,049,756 0.4% 123,483 31.7% 140,320 35.8% 86,866,154 35.6% 242,762 100.0% 223,928 100.0% 139,033,928 100.0% 117,011 48.2% 72,732 32.5% 49,975,620 35.9% Service occupations 31,488 13.0% 41,066 18.3% 25,059,153 18.0% Sales and office occupations 61,530 25.3% 55,173 24.6% 34,711,455 25.0% Construction, maintenance, repair 13,971 5.8% 15,773 7.0% 12,697,304 9.1% Production &transportation 18,762 7.7% 39,184 17.5% 16,590,396 11.9% Population 16 years and over In labor force Civilian labor force Employed Not in labor force OCCUPATION Civilian employed population 16+ Management & professional 594 22 INDUSTRY 242,762 100.0% 223,928 100.0% 139,033,928 100.0% 605 0.2% 106 0.0% 2,646,975 1.9% Construction 13,025 5.4% 12,406 5.5% 8,686,813 6.2% Manufacturing 29,462 12.1% 30,737 13.7% 14,439,691 10.4% Wholesale trade 8,531 3.5% 9,361 4.2% 3,941,066 2.8% Retail trade 24,489 10.1% 27,233 12.2% 16,203,408 11.7% Transportation & utilities 11,615 4.8% 10,168 4.5% 6,843,579 4.9% Information 10,352 4.3% 5,816 2.6% 3,015,521 2.2% Finance, insurance, & real estate 26,164 10.8% 17,055 7.6% 9,275,465 6.7% Professional & administrative 33,295 13.7% 25,463 11.4% 14,710,089 10.6% Educational services & health care 55,177 22.7% 50,431 22.5% 32,311,107 23.2% Arts, entertain, hotel, food svcs 12,728 5.2% 16,915 7.6% 12,859,572 9.2% Other private services 8,589 3.5% 11,461 5.1% 6,913,449 5.0% Public administration 8,730 3.6% 6,776 3.0% 7,187,193 5.2% Total households 177,786 100.0% 161,527 100.0% 114,567,419 100.0% Less than $10,000 5,141 2.9% 14,538 9.0% 8,757,190 7.6% $10,000 to $14,999 3,562 2.0% 7,604 4.7% 6,668,865 5.8% $15,000 to $24,999 10,598 6.0% 17,286 10.7% 13,165,380 11.5% $25,000 to $34,999 10,446 5.9% 17,003 10.5% 12,323,322 10.8% $35,000 to $49,999 15,265 8.6% 19,142 11.9% 16,312,385 14.2% $50,000 to $74,999 27,277 15.3% 26,057 16.1% 20,940,859 18.3% $75,000 to $99,999 25,266 14.2% 17,637 10.9% 13,526,500 11.8% $100,000 to $149,999 33,587 18.9% 24,127 14.9% 13,544,839 11.8% $150,000 to $199,999 20,542 11.6% 10,658 6.6% 4,809,998 4.2% $200,000 or more 26,102 14.7% 7,475 4.6% 4,518,081 3.9% Median household income (dollars) 91,469 53,993 107.9% 50,046 1()7 68,259 Civilian employed population 16+ Agriculture & mining INCOME AND BENEFITS 121,784 178.4% 73,618 128,754 100.0% 113,041 100.0% 76,089,045 100.0% Less than $10,000 1,983 1.5% 7,061 6.2% 3,824,251 5.0% $10,000 to $14,999 1,149 0.9% 2,987 2.6% 2,660,781 3.5% $15,000 to $24,999 4,287 3.3% 10,418 9.2% 6,770,812 8.9% $25,000 to $34,999 5,257 4.1% 10,897 9.6% 7,332,318 9.6% $35,000 to $49,999 9,063 7.0% 11,966 10.6% 10,578,051 13.9% $50,000 to $74,999 18,910 14.7% 19,967 17.7% 14,990,631 19.7% $75,000 to $99,999 18,470 14.3% 13,043 11.5% 10,638,931 14.0% Mean household income (dollars) Families 595 23 $100,000 to $149,999 27,700 21.5% 20,577 18.2% 11,261,766 14.8% $150,000 to $199,999 18,007 14.0% 9,254 8.2% 4,130,868 5.4% $200,000 or more 23,928 18.6% 6,871 6.1% 3,900,636 5.1% Median family income (dollars) 107,639 177.6% 65,248 107.7'% 60,609 Mean family income (dollars) 141,174 177.9% 84,767 106.8% 79,338 Per capita income (dollars) 44,393 170,4% 25,244 96.9';<, 26,059 Median earnings for workers 48,157 30,444 105.3% 28,899 Median earnings for male full-time 77,163 165.9\?;; 46,945 lOU)% 46,500 Median earnings for female full-time 55,422 1.51..6% 37,130 101.6% 36,551 All families 3.7% 7% 12.5% 11.0.6'% 11.30% All people 6.0% 39,27~> 15.7% 102 6%, 15.30% PERCENTAGE BELOW POVERTY LEVEL Morris County is a typical upscale suburban county; Passaic County is mixed, somewhat like Union County, with pockets of poverty as well as islands of affluence. In Morris County, median family income is 178% of the national average, similar to but even higher than Bergen County, while Passaic is only 108% of the average, similar to but lower than Union County. The poverty levels reflect this difference in income; for all families, the rate is only 1/3 of the national average for Morris County, but 110% of that average for Passaic County. Both counties have a higher than average proportion of the workforce in manufacturing, at 12.1% for Morris County and 13.7% for Passaic County, compared to 10.4% nationally. Both counties also have a higher than average proportion of workers in financial and professional services, although the increment is much smaller for Passaic County. Offsetting these bulges, both counties have a much smaller than average proportion of workers in arts, entertainment, leisure, hotels, and restaurants. Table 6-4. Economic Profile of Middlesex and Monmouth Counties and Comparison with the U.S., 2010 Data Category EMPLOYMENT STATUS Population 16 years and over In labor force Civilian labor force Employed Unemployed Armed Forces Not in labor force Middlesex 647,766 436,439 436,344 392,654 43,690 95 211,327 % Monmouth 100.0% 67.4% 67.4% 60.6% 6.7% 0.0% 32.6% 499,682 334,514 334,163 305,172 28,991 351 165,168 % u.s. % 100.0% 66.9% 66.9% 61.1% 5.8% 0.1% 33.1% 2010 243,832,923 156,966,769 155,917,013 139,033,928 16,883,085 1,049,756 86,866,154 100.0% 64.4% 63.9% 57.0% 6.9% 0.4% 35.6% OCCUPATION 596 24 Civilian employed population 16+ Management & professional Service occupations Sales and office occupations Construction, maintenance, repair Production &transportation 392,654 170,323 55,446 99,238 25,049 42,598 100.0% 43.4% 14.1% 25.3% 6.4% 10.8% 305,172 131,997 46,342 81,326 21,803 23,704 100.0% 43.3% 15.2% 26.6% 7.1% 7.8% 139,033,928 49,975,620 25,059,153 34,711,455 12,697,304 16,590,396 100.0% 35.9% 18.0% 25.0% 9.1% 11.9% INDUSTRY Civilian employed population 16+ Agriculture & mining Construction Manufacturing Wholesale trade Retail trade Transportation & utilities Information Finance, insurance, & real estate Professional & administrative Educational services & health care Arts, entertain, hotel, food svcs Other private services Public administration 392,654 628 18,052 39,615 17,826 43,951 26,800 12,486 36,177 52,832 83,080 29,705 15,450 16,052 100.0% 0.2% 4.6% 10.1% 4.5% 11.2% 6.8% 3.2% 9.2% 13.5% 21.2% 7.6% 3.9% 4.1% 305,172 1,043 16,060 20,781 10,399 33,644 14,981 13,058 33,142 39,280 70,468 24,158 11,999 16,159 100.0% 0.3% 5.3% 6.8% 3.4% 11.0% 4.9% 4.3% 10.9% 12.9% 23.1% 7.9% 3.9% 5.3% 139,033,928 2,646,975 8,686,813 14,439,691 3,941,066 16,203,408 6,843,579 3,015,521 9,275,465 14,710,089 32,311,107 12,859,572 6,913,449 7,187,193 100.0% 1.9% 6.2% 10.4% 2.8% 11.7% 4.9% 2.2% 6.7% 10.6% 23.2% 9.2% 5.0% 5.2% INCOME AND BENEFITS Total households Less than $10,000 $10,000 to $14,999 $15,000 to $24,999 $25,000 to $34,999 $35,000 to $49,999 $50,000 to $74,999 $75,000 to $99,999 $100,000 to $149,999 $150,000 to $199,999 $200,000 or more Median household income (dollars) Mean household income (dollars) 278,877 9,344 8,634 20,963 17,484 28,013 52,023 41,574 59,641 23,338 17,863 76,443 91,077 100.0% 3.4% 3.1% 7.5% 6.3% 10.0% 18.7% 14.9% 21.4% 8.4% 6.4% 234,582 8,749 7,916 20,280 16,779 21,105 34,504 30,287 43,322 23,299 28,341 80,816 109,907 100.0% 3.7% 3.4% 8.6% 7.2% 9.0% 14.7% 12.9% 18.5% 9.9% 12.1% 114,567,419 8,757,190 6,668,865 13,165,380 12,323,322 16,312,385 20,940,859 13,526,500 13,544,839 4,809,998 4,518,081 50,046 68,259 100.0% 7.6% 5.8% 11.5% 10.8% 14.2% 18.3% 11.8% 11.8% 4.2% 3.9% 76,089,045 3,824,251 2,660,781 6,770,812 7,332,318 10,578,051 14,990,631 10,638,931 11,261,766 4,130,868 3,900,636 60,609 100.0% 5.0% 3.5% 8.9% 9.6% 13.9% 19.7% 14.0% 14.8% 5.4% 5.1% -- Families Less than $10,000 $10,000 to $14,999 $15,000 to $24,999 $25,000 to $34,999 $35,000 to $49,999 $50,000 to $74,999 $75,000 to $99,999 $100,000 to $149,999 $150,000 to $199,999 $200,000 or more Median family income (dollars) 203,542 3,425 3,594 10,298 10,039 18,530 36,692 32,490 51,013 21,178 16,283 88,678 152,7(:1> 133.4% 100.0% 1.7% 1.8% 5.1% 4.9% 9.1% 18.0% 16.0% 25.1% 10.4% 8.0% 1463% 159,264 3,542 2,250 7,999 8,157 11,826 20,099 23,504 36,806 19,441 25,640 101,714 161.5'/r., 161.0% 100.0% 2.2% 1.4% 5.0% 5.1% 7.4% 12.6% 14.8% 23.1% 12.2% 16.1% 167.8'X) 597 25 Mean family income (dollars) Per capita income (dollars) 102,733 32,017 Median earnings for workers Median earnings for male full-time Median earnings for female full-time PERCENTAGE BELOW POVERTY LEVEL All families All people 129.5% 122.9% 40,270 61,557 47,101 139.3% 5.1% 7.7% 45.1% 132.4'}{, 128.9'% 50.3% 132,616 41,434 167 ,21).;, 159.0% 1.46.3'Yo 42,266 71,576 52,072 1425% 5.0% 6.6% 43J.% 153.9% 44.2.% 79,338 26,059 28,899 46,500 36,551 11.3% 15.3% Middlesex and Monmouth Counties are prototypical wealthy suburbs, with median household incomes more than 50% higher than the U.S. figures and poverty rates half of the national averages or less. Monmouth County has an especially high share of the wealthy, with 12% of households earning $200,000 or more- compared to 4% for the U.S. Consistent with their high-income profiles, both counties have high percentages of white-collar workers - 43% in each county, compared to 36% nationally. Similar to the other counties in the region, Middlesex (9%) and Monmouth (11 %) have high shares of workers in the finance and insurance industries - compared to 7% for the U.S. Unlike Middlesex County, Monmouth County has a lower than average proportion of its workforce in manufacturing, at 7%. Table 6-5. Labor Market Statistics for 8 Counties in Northern New Jersey, 20022011 Data Labor Force 2002 2003 2004 New Jersey 4,370,809 4,363,896 Employed Unemployed Un Rate,% 4,117,265 253,544 5.8 4,108,397 4,144,223 255,499 5.9 4,207,738 214,685 196,713 4.9 4.5 2005 4,358,908 4,404,451 2006 4,465,067 4,257,899 207,168 4.6 2007 4,456,306 4,264,617 191,689 4.3 2008 4,509,110 4,262,281 246,829 5.5 2009 4,546,443 4,138,364 408,079 9.0 2010 4,554,076 4,116,640 437,436 9.6 2011 4,556,186 4,131,832 424,354 9.3 Bergen 2002 466,326 442,760 23,566 5.1 2003 465,115 441,480 23,635 5.1 2004 462,702 443,247 19,455 4.2 598 26 2005 467,206 449,791 17,415 3.7 2006 473,275 455,022 18,253 3.9 2007 472,991 456,594 16,397 3.5 2008 478,584 457,046 21,538 4.5 2009 480,720 443,620 37,100 7.7 2010 476,243 436,522 39,721 8.3 2011 479,131 441,277 37,854 7.9 2002 371,383 344,532 26,851 7.2 2003 369,164 342,304 26,860 7.3 2004 363,454 340,905 22,549 6.2 2005 361,843 341,544 20,299 5.6 2006 364,175 343,012 21,163 5.8 2007 362,785 343,281 19,504 5.4 2008 366,007 341,853 24,154 6.6 2009 367,125 329,526 37,599 10.2 2010 370,372 329,355 41,017 11.1 2011 370,417 330,337 40,080 10.8 2002 296,200 273,503 22,697 7.7 2003 292,204 270,633 21,571 7.4 2004 287,381 269,725 17,656 6.1 2005 288,312 272,630 15,682 5.4 2006 290,204 274,266 15,938 5.5 2007 290,990 276,383 14,607 5.0 2008 294,408 275,666 18,742 6.4 2009 299,839 268,570 31,269 10.4 2010 2011 310,845 312,467 277,281 280,302 33,564 32,165 10.8 10.3 2002 Middlesex 413,685 390,439 23,246 5.6 2003 411,128 388,372 22,756 5.5 2004 410,464 391,663 18,801 4.6 2005 415,943 398,420 17,523 4.2 2006 421,868 403,617 18,251 4.3 2007 421,754 405,387 16,367 3.9 2008 425,916 404,463 21,453 5.0 2009 427,408 391,354 36,054 8.4 2010 436,381 398,449 37,932 8.7 2011 436,228 399,546 36,682 8.4 Essex Hudson 599 27 2002 Monmouth 325,726 308,550 17,176 5.3 2003 323,789 306,191 17,598 5.4 2004 322,012 307,448 14,564 4.5 2005 324,105 310,869 13,236 4.1 2006 329,093 315,612 13,481 4.1 2007 332,191 319,687 12,504 3.8 2008 335,353 318,975 16,378 4.9 2009 336,577 308,793 27,784 8.3 2010 329,433 300,427 29,006 8.8 2011 329,571 301,254 28,317 8.6 2002 265,499 253,291 12,208 4.6 2003 266,068 253,862 12,206 4.6 2004 265,376 255,660 9,716 3.7 2005 267,813 259,088 8,725 3.3 2006 272,237 263,196 9,041 3.3 2007 272,580 264,282 8,298 3.0 2008 275,584 264,528 11,056 4.0 2009 275,118 255,839 19,279 7.0 2010 272,994 252,965 20,029 7.3 2011 272,849 253,719 19,130 7.0 2002 236,848 220,154 16,694 7.0 2003 236,729 219,363 17,366 7.3 2004 233,946 219,516 14,430 6.2 2005 2006 222,610 223,944 224,527 12,908 13,250 12,767 5.5 5.6 2007 235,518 237,194 237,294 2008 2009 240,836 244,838 224,443 16,393 218,118 26,720 6.8 10.9 2010 244,764 216,367 28,397 11.6 2011 246,012 218,724 27,288 11.1 2002 269,672 252,547 17,125 6.4 2003 268,107 251,137 16,970 6.3 2004 265,034 250,970 14,064 5.3 2005 265,654 252,991 12,663 4.8 2006 268,521 255,487 13,034 4.9 Morris Passaic 5.4 Union 600 28 2007 267,960 255,865 12,095 4.5 2008 2009 271,553 255,902 15,651 5.8 273,728 248,504 25,224 9.2 2010 275,137 248,502 26,635 9.7 2011 275,886 249,244 26,642 9.7 8 counties 2002 2,645,339 2,485,776 159,563 6.0 2003 2,632,304 2,473,342 158,962 6.0 2004 2,610,369 2,479,134 131,235 5.0 2005 2,626,394 2,507,943 118,451 4.5 2006 2,656,567 2,534,156 122,411 4.6 2007 2,658,545 2,546,006 112,539 4.2 2008 2,688,241 2,542,876 145,365 5.4 2009 2,705,353 2,464,324 241,029 8.9 2010 2,716,169 2,459,868 256,301 9.4 2011 2,722,561 2,474,403 248,158 9.1 The unemployment rate for this part of New Jersey is very similar to the profile for the overall U. S., although the figures in 2010 and 2011 are marginally lower. By individual county, Hudson, Essex, Union, and Passaic counties have rates that are above the 8.9% level for 2011, while Bergen, Middlesex, Morris, and Monmouth are below average. According to BLS statistics as of December 1, 2012, there were almost 250,000 unemployed people in this 8-county region in 2011. Table 6-6. Level and Growth Rate of Population, State of New Jersey, 8 Counties in the Northern New Jersey, and the Total of these Counties (Table is divided into Sections A and B for easier viewing) New Jersey Bergen Essex 2011 2010 8,821,155 8,799,593 911,004 906,184 785,137 784,099 2009 8,755,602 900,319 2008 8,711,090 2007 Hudson Union Middlesex 781,943 641,224 634,979 628,572 539,494 537,475 532,434 805,204 895,328 778,165 619,533 527,528 799,191 8,677,885 890,817 778,996 613,637 524,960 792,137 2006 8,661,679 889,406 781,027 613,577 525,153 786,890 2005 8,651,974 891,446 786,341 614,664 526,161 787,329 2004 8,634,561 893,378 791,305 614,607 526,916 781,582 2003 8,601,402 892,214 795,167 614,813 527,611 775,973 2002 8,552,643 890,647 795,625 615,554 527,625 769,280 2011/10 0.25% 0.53% 0.13% 0.98% 0.38% 0.43% 2010/09 0.50% 0.65% 0.28% 1.02% 0.95% 0.69% 2009/08 0.51% 0.56% 0.49% 1.46% 0.93% 0.75% 814,217 810,747 601 29 2008/07 2007/06 2006/05 2005/04 2004/03 2003/02 0.38% 0.19% 0.11% 0.20% 0.39% 0.57% 0.51% 0.16% -0.23% -0.22% 0.13% 0.18% -0.11% -0.26% -0.68% -0.63% -0.49% -0.06% 0.96% 0.01% -0.18% 0.01% -0.03% -0.12% 0.49% -0.04% -0.19% -0.14% -0.13% 0.00% 0.89% 0.67% -0.06% 0.74% 0.72% 0.87% 2011/02 0.34% 0.25% -0.15% 0.45% 0.25% 0.63% Middlesex 814,217 810,747 805,204 799,191 792,137 786,890 787,329 781,582 775,973 769,280 Monmouth 631,020 630,920 628,669 627,348 626,644 626,934 627,838 628,605 627,413 624,532 Morris 494,976 492,681 490,779 489,743 488,355 487,486 485,472 483,997 481,000 477,234 Passaic 502,007 501,606 498,641 494,904 492,886 492,730 493,600 493,981 494,915 494,571 8 counties 5,319,079 5,298,691 5,266,561 5,231,740 5,208,432 5,203,203 5,212,851 5,214,371 5,209,106 5,195,068 2011/10 2010/09 2009/08 2008/07 2007/06 2006/05 2005/04 2004/03 2003/02 0.43% 0.69% 0.75% 0.89% 0.67% -0.06% 0.74% 0.72% 0.87% 0.02% 0.36% 0.21% 0.11% -0.05% -0.14% -0.12% 0.19% 0.46% 0.47% 0.39% 0.21% 0.28% 0.18% 0.41% 0.30% 0.62% 0.79% 0.08% 0.59% 0.76% 0.41% 0.03% -0.18% -0.08% -0.19% 0.07% 0.38% 0.61% 0.67% 0.45% 0.10% -0.19% -0.03% 0.10% 0.27% 2011/02 0.63% 0.11% 0.41% 0.17% 0.26% 2011 2010 2009 2008 2007 2006 2005 2004 2003 2002 Population growth in this 8-county area was not only well below the 1% rate for the U.S, but was less than half the rate in New Jersey; since that is the figure for the entire state, the growth rate was only about 1/5 of that for the other 9 counties in New Jersey. The pattern reversed course at mid-decade, with an actual decline from 2004 through 2007 being followed by an average growth rate of 0.5% from 2008 to 2011. Table 6-7. Level and Growth Rate of Personal Income, Billions of Dollars, State of New Jersey, 8 Counties in Northern New Jersey, and the Total of these Counties 2011 New Jersey 462.49 Bergen 60.21 Essex 41.58 Hudson 30.38 Union 27.98 602 30 2010 2009 2008 2007 2006 2005 2004 2003 2002 443.74 430.96 454.21 436.12 411.43 379.65 365.26 347.69 341.56 57.44 56.36 61.09 60.04 55.78 50.55 48.66 45.62 46.24 40.01 37.98 40.20 38.83 36.93 33.99 32.77 30.81 30.14 28.75 26.82 26.57 24.21 22.69 21.15 19.99 19.24 19.00 26.63 25.76 27.59 26.64 25.54 23.28 22.54 21.87 21.51 2011/10 2010/09 2009/08 2008/07 2007/06 2006/05 2005/04 2004/03 2003/02 4.23% 2.97% -5.12% 4.15% 6.00% 8.37% 3.94% 5.05% 1.80% 4.83% 1.91% -7.73% 1.75% 7.63% 10.34% 3.90% 6.65% -1.33% 3.91% 5.34% -5.53% 3.53% 5.14% 8.65% 3.73% 6.37% 2.21% 5.66% 7.20% 0.96% 9.76% 6.69% 7.26% 5.81% 3.88% 1.30% 5.08% 3.35% -6.63% 3.57% 4.31% 9.72% 3.29% 3.06% 1.70% 2011/02 3.42% 2.98% 3.63% 5.35% 2.96% Middlesex 40.06 38.34 37.58 39.53 37.22 34.78 32.14 31.00 30.07 29.55 Monmouth 36.82 35.59 34.79 37.22 36.15 33.68 30.87 29.78 27.75 27.36 Morris 35.50 34.18 32.98 36.25 34.77 33.11 30.55 29.42 27.32 26.93 Passaic 21.69 20.64 20.03 20.57 19.83 18.66 17.41 16.48 16.13 15.92 8 counties 294.23 281.58 272.31 289.02 277.68 261.17 239.95 230.64 218.81 216.63 4.50% 2.02% -4.95% 6.20% 7.01% 8.22% 3.70% 3.10% 1.76% 3.45% 2.31% -6.53% 2.97% 7.35% 9.09% 3.66% 7.32% 1.43% 3.87% 3.65% -9.04% 4.28% 5.01% 8.37% 3.85% 7.67% 1.47% 5.09% 3.04% -2.60% 3.74% 6.26% 7.17% 5.61% 2.22% 1.28% 4.49% 3.41% -5.78% 4.08% 6.32% 8.84% 4.04% 5.41% 1.00% 2011 2010 2009 2008 2007 2006 2005 2004 2003 2002 2011/10 2010/09 2009/08 2008/07 2007/06 2006/05 2005/04 2004/03 2003/02 603 31 2011/02 3.44% 3.35% 3.12% 3.49% 3.46% The growth in personal income over the decade for this 8-county region was the same as the rest of New Jersey, and about 0.3% per year lower than the U.S. economy. The decline in 2009 was obviously tied to the financial markets, but was not nearly as severe as the swings in Manhattan and the suburban counties in New York State. Of particular interest is that income actually continued to rise in Hudson County in 2009 in spite of the increasing concentration of financial institutions who have moved across the river from New York City; it was the only county in this group where income did not decline in 2009. The rebound in 2010 and 2011 for the entire region continued to be close to the national average; for Hudson County, the increase was well above average. Finally, we turn to the commuting patterns. In determining the economic impact of new job creation, it is necessary to choose the counties that form the relevant area for analysis. The economic multipliers will be higher as the number of counties included in the area increases. If the proportion of the workforce covered rises above 95%, that would include too many jobs that are not directly related to the new project. If that proportion falls below 90%, the multipliers would probably be understated. Hence the commuting patterns of the workforce data from the 2000 Census are used to determine the optimal mix of counties to be included in the multiplier calculations. These commuters spend most of their paychecks in the counties where they live, so the economic impact of the new project creates some new induced jobs in bordering counties. Also, some of the goods and services purchased by the new businesses are produced or purchased from establishments in neighboring counties. Table 6-8 can be interpreted as follows. In 2000, there were 223,225 people in the Hudson County workforce. Of these, 121,352 lived in Hudson County, 25,444 lived in Bergen County, and so on. We have included counties that accounted for 84.1% of the total Hudson County workforce, which is below the usual level because many of the commuters live in far-flung counties that have few links with Hudson County. Table 6-8. Commuting Patterns for Hudson County, NJ Total Hudson County Workforce Living in these counties: Hudson Co. NJ Bergen Co. NJ Essex Co. NJ Middlesex Co. NJ 223,225 121,352 25,444 16)93 8,706 Union Co. NJ 8)51 Passaic Co. NJ 6,468 Monmouth Co. NJ 6,165 Morris Co. NJ 4,806 Total these 8 counties % in these 8 counties 197,835 84.1% 604 32 7. Location of Building, Maps of Area, and TEA Analysis Figure 7-1. Location of 88 Morgan Street, Jersey City . -<1"'1' .Sr l 4: g 3m S! E ~ :;: 4th St 1 .~. 2t!c .sr $ .;; e,,y:;;! \1 ;;" i5 ]; m "' '~ :. ~ i2 "'c Q ~ !!' !: 1 ~t S: Morgan St 11 '( 605 33 Figure 7-2. Location of Building in the 8-County Area Port ,Jervis O!a Forge Vernon Tob}"1a1~kl Fr<~nkforct CN!SOO Stroudsburg P,aterson Bangor Allentown Ouaf:ertcwn Pnntetor. Souoorton Lawrence lovms111p Warmmster 11C mr 2C tf Trenton Freehold Townsh;p ".Nil'ow Ph,coerux>>~l!e Nomstown Gro-..e Hr: 606 34 Figure 7~3. County Map of New Jersey Ht mmw? \a may, wax/MW 607 35 TEA Analysis A TEA can be formed from CTs 3,4,5,6,7,8,11, 12,01,12.02, 15, 22,23, 25, 26, 30, 31, 32 33, 44, 45,46,50, 51, 52, 53, and 55; the locations of these CTs are shown in Figure 7-4. The Property is located in CT 26. A letter of certification is expected from the New Jersey Department of Labor. Figure 7-4. Census Tract Map of Jersey City 608 36 8. Economic Impact of Construction Expenditures (b)(4) Table 8-1 shows the total development budget ofl m 'lis amount, aboutl lis EB~5 eligible hard construction c o s t s J i s architectural, engineering, and related fees, and lis purchases of furniture, fixtures, and equipment (FF&E). The remaining. _consists primarily of land costs, interest costs, contingencies, and fees. I Table 8-1. Sources and Uses of Funds (b)(4) The details of the budget are given in Table 8~2. We have subtracted certain items from the Hard Cost figure given in Table 8~1 that are not EB~5 eligible; the remaining amount includes building, parking, and site preparation. EB~5 eligible soft costs are architectural, engineering, and surveying fees. 609 37 Table 8-2. Detailed Construction Budget (b)(4) Development Budget In general, USCIS has indicated that current-dollar numbers should be deflated to the year in which the input/output coefficients were calculated, which in this case is 2008. For construction expenditures, however, prices have actually dropped since then, as shown in the Turner construction index. The estimated values used in the impact analysis are as follows: 2012, 829; 2013, 845, and 2014, 862 (a 2% annual growth rate). For projects being constructed in 2013 and 2014, the average level would be 854, which is well below the 908 level reached in 2008. 610 38 Quarter Index A% 3rd Quarter 2012 832 0.73 2nd Quarter 2012 1st Quarter 2012 4th Quarter 2011 826 821 818 0.61 0.37 0.49 Year Avtrag~ Co®~ 6.% 2011 2010 2009 2008 2007 2006 2005 2004 2003 2002 2001 2000 812 799 832 908 854 793 717 655 621 619 613 595 570 1.6 -4.0 -8.4 6.3 1999 7.7 10.6 9.5 5.4 0.3 1.0 3.0 4.4 3.8 Turner has prepared the construction cost forecast for more than 80 years. Used widely by the construction industry and Federal and State governments, the building costs and price trends tracked by The Turner Building Cost Index may or may not reflect regional conditions in any given quarter. The Cost Index is determined by several factors considered on a nationwide basis, including labor rates and productivity, material prices and the competitive condition of the marketplace. This index does not necessarily conform to other published indices because others do not generally take all of these factors into account. Further information about this index is available at: http://www.turnerconstruction.com/cost-index The next six tables show the economic impact of (a) hard construction costs, (b) EB-5 eligible soft costs, and (c) purchases of FF&E. In all cases, the tables show the impact for the 20 major industrial classifications in the RIMS II input/output model; in all cases, only indirect and induced impacts are included. Please note that in these and succeeding tables, output and earnings are given in thousands of dollars. 611 39 (b)(4) Table 8-3. Increase in Employment, Output, and Earnings for Hard Construction Costs of 88 Morgan Street D Table 8-3 shows there will be a total of jobs created from the hard construction costs of the 88 Morgan Street building. Outpu w I ri bout million, while household earnings would increase b abou Table 8-4 shows thj averagel output per new worker is about while average earnings are about I I (b)(4) Table 8-4. Output and Earnings Per New Worker, Hard Construction Costs for 88 Morgan Street (b)(4) 612 (b)(4) 40 For equipment purchases, USCIS has agreed to count jobs indirectly created outside the geographical boundaries of a Regional Center (RC) in determining whether the RC's business plan complies with EB-5 regulations. The policy change was expressed in a December 3, 2010, letter from USC IS Director Alejandro Mayorkas in response to a letter from Senator Patrick Leahy, Chairman of the Senate Judiciary Committee. Mayorkas wrote: "USCIS interprets the law to require that a regional center focus its EB-5 capital investment activities on a single, contiguous area within the defined geographic jurisdiction requested by the regional center. Nevertheless, we agree that the law does not further mandate that all indirect job creation attributable to a regional center take place within that jurisdiction. I will, therefore, ensure that USCIS policy reflects this understanding of the law." The regulations include the following language: "The regulation at 8 CFR 204.6.(m) provides [that] ... Each regional center ... shall submit a proposal, which ... Contains a detailed prediction regarding the manner in which the regional center will have a positive impact on the regional or national economy in general as reflected by such factors as increased household earnings, greater demand for business services, utilities, maintenance and repair, and construction both within and without the regional center" (emphasis added). It is highly unlikely that the FF&E is manufactured in the NYC area, and we are not making that claim. One possibility is to use the indirect and induced jobs created by the production of the FF&E outside the regional center. The justification for this approach is as follows: 613 41 The regulations include the following language: "The regulation at 8 CFR 204.6.(m) provides [that] ... Each regional center ... shall submit a proposal, which ... Contains a detailed prediction regarding the manner in which the regional center will have a positive impact on the regional or national economy in general as reflected by such factors as increased household earnings, greater demand for business services, utilities, maintenance and repair, and construction both within and without the regional center" (emphasis added). The drawback to that approach, however, is that in general no information is available indicating the jurisdiction where the FF&E was produced, so we do not know which set of multipliers to use. Hence we have used an alternative approach, which is to claim that the indirect and induced jobs created by the installation of the FF&E in the NYC area can be legitimately included in the EB-5 job count. These jobs would include all of the activities that occur within the region: transportation and distribution of the FF&E to the hotel site, purchasing margins at the wholesale and possibly retail level, and most importantly, the construction jobs that are used in the installation of the FF&E. This generally involves substantial construction activity in terms of installing bathroom fixtures, electronic equipment, telecommunications systems, and other construction jobs associated with preparing the hotel rooms for clients. For this reason, then, the FF&E calculations are based on the indirect and induced final demand and employment multipliers for the construction sector. (b)(4) Table 8-5. Increase in Employment, Output, and Earnings, Purchases of FF&E for 88 Morgan Street, Indirect and Induced Effects Only 614 (b)(4) (b)(4) 42 Table 8-5 shows there will be a total of Oindirect and induced jobs created from the purchases of FF&E for the 88 Morgan Street building. Out ut would rise about I twhile household earnings would increase by about Table 8-6 shows the average output per new worker is aboutl Iw 1 e average earnings are abou~ I Table 8-6. Output and Earnings Per New Worker, Purchases of FF&E for 88 Morgan Street, Indirect and Induced Effects Only (b)(4) 615 43 In terms of what soft costs are EB-5 eligible, we rely on the information given in the NAICS coding manual, which is summarize as follows: 541310 Architectural Services This industry comprises establishments primarily engaged in planning and designing residential, institutional, leisure, commercial, and industrial buildings and structures by applying knowledge of design, construction procedures, zoning regulations, building codes, and building materials. 541330 Engineering Services This industry comprises establishments primarily engaged in applying physical laws and principles of engineering in the design, development, and utilization of machines, materials, instruments, structures. processes, and systems. The assignments undertaken by these establishments may involve any of the following activities: provision of advice, preparation of feasibility studies, preparation of preliminary and final plans and designs, provision of technical services during the construction or installation phase, Inspection and evaluation of engineering projects, and related services. 236220 Nonresidential Building Construction This industry comprises establishments primarily responsible for the construction (including new work, additions, alterations, maintenance, and repairs) of commercial and institutional buildings and related structures. such as stadiums, grain elevators, and indoor swimming facilities. This industry includes establishments responsible for the on-site assembly of modular or prefabricated commercial and institutional buildings. Included in this industry are commercial and institutional building general contractors, commercial and institutional building operative builders, commercial and institutional building design-build firms, and commercial and institutional building project construction management firms. (b)(4) Table 8M7. Increase in Employment, Output, and Earnings for EBMS Eligible Soft Construction Costs of 88 Moraan Street Project 616 44 (b)(4) Table 8-7 shows there will be a total oObs created from the EB-5 eligible soft construction costs of the 88 Morgan Street building. Output would rise aboutr-1 while household earnings would increase by about Table-a:B" 'srimvs'thj averagj output per new worker is about while average earnings are abou rl (b)(4) Table 8-8. Output and Earnings Per New Worker for EB-5 Eligible Soft -······················ _____ C_o_ns~t~uction Costs of 88 Morgan Street Project (b)(4) 617 45 9. Economic Impact of Rental Income for Apartments, Retail Space, and Parking Space The building at 88 Morgan Street will be primarily residential, containing 417 apartments, 214 parking spaces, and about 4,000 square feet of retail space. According to the developer, the Jersey City market place is one of the strf"~tst rental markets in New Jersey. Rents at comparable developments are well over q ft and occupancies hover in the high 90s. The operating assumptions are shown in able 9-1. (b)(4) Table 9-1. Operating Assumptions for 88 Morgan Street, Jersey City, NJ Jp~r.1ting Assumptions (b)(4) The monthly rentals for comparable apartment buildings in Jersey City are shown in Table 9-2. 618 46 Table 9-2. Comparable Rents in Jersey City Rent lawmnm 619 47 The total annual rental income entered into the RIMS II model is hence calculated as follows, based on the operating projections provided by the developer. The figures for "Year 4", which is the first full year of occupancy, are used for these calculations. Table 9-3. Operating Projections, first 4 Years, for 88 Morgan Street Building Detailed Operating Projections (b)(4) (b)(4) In the first full year of operation, gross potential rent would be I I however that figure must be reduced by an expected 3% vacancy rate, 0.5% loss for bad debts, and first-year rent concessions (essentially one free month) that amount to anothe1 Hence total apartment rentals after subtracting these items equals This figure is then boosted by the expected revenue for parking spaces, retail 1ncome, and other fees. There are 214 parking spaces and an average monthly fee of I lnonth, adjusted for the 3% vacancy rate and 0.5% loss for bad debts. Retail space of 4,000 square feet is expected to rent forOper square foot, which is well below the yerar for comparable locations. Finally, fees from other income are expected to be per month per occupied unit, with the first-year 620 48 (b)(4) adjustment for one month of free rent. Summing all these factors indicates total annual rental income of I tnillion for the first full year of operation. This figure is in 2016 dollars, while the input/output coefficients are based on 2008 dollars, so it must be deflated. The CPI for rental; income medium-sized cities rose 1.6% per year from 2008 to 2012, as shown in Table 9-4, so continuing that rate forward to 2016, the deflator would be 1.134, indicating rental income oq in 2008 dollars. .....__ _ _.....,. (b)(4) Table 9-4. CPI for Primary Rental Income, Medium-Sized Cities The detailed industry results for._l_.....,.lmillion in rental income are shown in the next two tables. (b)(4) Table 9-5. Increase in Employment, Output, and Earnings, Rental Income for 88 Morgan Street Building, 2008 Dollars 621 49 (b)(4) Table 9-5 shows there would be an increase otrlpermanent new jobs from the (b)(4) I T~utput woul~l rise about! rental income of the 88 Morgan Street building. I land household earnings would increase by about Table 9-6 shows output per new worker would be about with average annua earnings of about I I I I Table 9-6. Output and Earnings Per New Worker, Rental Income for 88 Morgan Street Building, 2008 Dollars (b)(4) 622 50 623 51 10. Summary Statistics for the Construction and Rental Income for the 88 Morgan Street Building Tables 10-1 and 10-2 show the combined economic impact of constructing and rental income for the 88 Morgan Street Building. These results are the summation of the data given in Sections (8) and (9), so the individual cells simply represent the sum (or average) of these figures in the previous two sections. Table 10-1. Increase in Employment, Output, and Earnings for Construction and Operation of the 88 Morgan Street Building (b)(4) Table 10-1 shows that c::Jpermanent new jobs would be created by the construction and rental income for the 88 Morgan Street building. Output would rise by about I land household earnings would increase by about I I Table 10-2 shows that the average output per new worker would be aboutl I while average annual earnings would be about I I (b)(4) 624 52 (b)(4) Table 10-2. Output and Earnings Per New Worker for Construction and Operation of 88 Morgan Street Building 625 53 Appendix: Resume of Dr. Michael K. Evans mevans@evanscarrollecon.com CURRENT AND PREVIOUS POSITIONS Chairman, Evans, Carroll & Associates, Inc., 1980-present Economics) (previously Evans Economic consulting firm specializing in EB-5 immigration analysis, economic impact studies of development projects and new construction, models of state and local tax receipts, impact of current and proposed government legislation, and construction of econometric models for individual industries and companies. • Chief Economist, American Economics Group, 2000-2008. Built a comprehensive state modeling system that provides economic analysis for a variety of consulting projects (see below). • Clinical Professor of Economics, Department of Managerial Economics and Decision Sciences (MEDS), Kellogg Graduate School of Management, Northwestern University, 1996-99. Taught courses in macroeconomics and business forecasting. Wrote textbooks for both courses. • Winner of Blue Chip Economic Indicator Award for most accurate macroeconomic forecasts during the past four years, November 1999 • Founder and President, Chase Econometric Associates, 1970-1980 • Assistant and Associate Professor of Economics, Wharton School, University of Pennsylvania, 1964-69. Co-developer of the original Wharton Model. • Visiting Professor, Radford University, (Radford, VA), 1987 Chairman of Institute for International Economic Competitiveness • Visiting Lecturer, Hebrew University (Jerusalem), 1966-67 Built econometric model of the Israeli economy • Ph. D. in Economics, Brown University. Dissertation, "A Postwar Quarterly Model of the United States Economy, 1948-1962". A. B. in Mathematical Economics, Brown University 626 54 PREVIOUS ACTIVITIES AND EDUCATION • Contributing Editor, Industry Week Wrote a column in each issue on economic and financial trends as they impact the manufacturing sector. • Editor, The Evans Report Weekly newsletter discussing economic trends and financial markets. Pioneered the concept of the Monthly Tracking Model to incorporate recent economic releases into the overall economic forecast, including methods to predict these economic data. • Consultant, National Printing Equipment and Supply Association Prepared quarterly forecasts of shipments of printing equipment and graphic arts supplies by product line, based on an econometric model constructed for NPES. Also prepares analysis and forecasts of exports and imports by principal product line. • Consultant, APICS -- The Educational Society for Resource Management, Designed and developed the APJCS Business Outlook Index, which used survey data collected by the Evans Group to measure current production, production plans, shipments, employment, new orders, unfilled orders, inventory stocks, and the comparison of the actual to desired inventory/sales ratio to predict short-term changes in manufacturing sector activity. The results of this survey appeared every month in APICS: The Performance Advantage • Consultant, American Hardware Manufacturing Association Wrote a separate weekly edition of the Evans Report analyzing recent trends in the hardware and housing industries, including forecasts of the hardware industry based on an econometric model developed for AHMA. • Board of Economists, Los Angeles Times Wrote column every 6 weeks (5 other economists on the Board) • Columnist, United Press International 11 Wrote twice-weekly column, 0ollars and Trends" • Consultant, Senate Finance Committee, 627 55 Built the first large-scale supply-side model of the U. S. economy • Consultant, Environmental Protection Agency and Council on Environmental Quality Estimated inflationary impact of government regulations • Consultant, National Aeronautics and Space Administration Estimate impact of R&D spending on productivity growth • Consultant, U. S. Treasury Estimated impact of investment tax credit and accelerated depreciation on capital spending by industry • Consultant, U. S. Department of Agriculture Built large-scale econometric model of agricultural sector of U.S. economy • Consultant, Organization of Economic Cooperation and Development Built econometric model of the French economy SAMPLE OF RECENT CONSULTING PROJECTS A. Economic Impact of EB-5 Immigrant Investor Programs and New Markets Tax Credits For more information on these projects, see www.evanseb5.com Key to symbols: N, new regional center, E, extension of existing center List is current as of November 5, 2010. Totals to date are 136 new regional centers, 72 extensions, and 7 new markets tax credits, for a total of 215 projects N• Calculated the economic impact of the construction and operation of an assisted living center in Santa Ana, CA N• Calculated the economic impact of the construction and operation of several BBQ restaurants in South Florida. N• Calculated the economic impact of the drilling oil wells in 8 counties in Texas and Louisiana. 628 56 N• Calculated the economic impact of operating coal mines for metallurgical coal in West Virginia. N• Calculated the economic impact of operating gold mines in Alaska. N• Calculated the economic impact of constructing and operating a mixed-use commercial center in Flushing, NY N• Calculated the economic impact of constructing and operating two hotels, one in downtown San Diego, and one in Escondido, CA N• Calculated the economic impact of expanding and operating an auto racing track in Palm Beach, FL N• Calculated the economic impact of building and operating mobile housing villages for disaster relief. N• Calculated the economic impact of operating an "incubator" for research on medical devices, preparations, and services in Houston, TX. N• Calculated the economic impact of constructing and operating a mixed-use commercial center in Denver, CO. N• Calculated the economic impact of constructing and operating a charter school in Miami/Dade County, FL E• Calculated the economic impact of constructing and operating a hotel in Manhattan, NY N• Calculated the economic impact of constructing and operating hotels, assisted living centers, and mixed-use commercial buildings in 8 counties in Southern California N• Calculated the economic impact of constructing and operating a charter school in Broward County, FL N• Calculated the economic impact of renovating a former public housing project in Chicago, IL N• Calculated the economic impact of starting a high-tech company for optical displays in Orlando and Gainesville, FL N• Calculated the economic impact of constructing and operating luxury hotels in four Southern California counties E• Calculated the economic impact of expanding a manufacturing company in Ann Arbor, Ml 629 57 N• Calculated the economic impact of reconverting an old mill building into offices and other commercial uses in Bristol County, MA N• Calculated the economic impact of a film and TV production studio in Los Angeles, CA N• Calculated the economic impact of constructing and operating various residential and commercial buildings in 35 Texas counties. N• Calculated the economic impact of constructing and operating the world's tallest residential structure in Chicago, IL N• Calculated the economic impact of constructing and operating a mixed-use commercial and residential building in Seattle, WA N• Calculated the economic impact of constructing and operating a hotel in Cleveland, OH N• Calculated the economic impact of a research facility in Jupiter, FL N• Calculated the economic impact of constructing and operating an assisted living center in Horry County, SC N• Calculated the economic impact of constructing and operating a chain pharmacy in Chicago, IL E• Calculated the economic impact of constructing and operating a high-end hotel and resort in Aspen, CO N• Calculated the economic impact of constructing and operating an assisted living center in Dallas, TX E• Calculated the economic impact of constructing and operating an medical assistance company in Bronx, NY E• Calculated the economic impact of constructing and operating a mixed-use commercial building in Queens, NY E• Calculated the economic impact of operating a livery service in Queens, NY N• Calculated the economic impact of constructing and operating residential properties in Southern California N• Calculated the economic impact of operating a film and TV production studio in Los Angeles, CA N• Calculated the economic impact of drilling oil wells in Montana 630 58 N• Calculated the economic impact of constructing and operating various residential and commercial buildings for 43 counties in Texas E• Calculated the economic impact of constructing and operating a restaurant and dinner theater in Guam N• Constructed an input/output model for the Commonwealth of the Northern Mariana Islands, and used it to calculated the economic impact of constructing and operating a restaurant in Saipan. E• Calculated the economic impact of constructing and operating a new hotel in Miami, FL E• Calculated the economic impact of constructing and operating a resort and wellness center in South Florida N• Calculated the economic impact of expanding and operating a ski resort in Vermont. N• Calculated the economic impact of constructing and operating residential and commercial buildings in 20 counties in South Central Texas N• Calculated the economic impact of constructing and operating a hotel near the Newark, NJ airport E• Calculated the economic impact of constructing and operating a company to process health insurance benefits in South Florida E• Calculated the economic impact of constructing and operating a veterinary hospital in Palm Beach County, FL N• Calculated the economic impact of constructing and operating various residential and commercial buildings for all counties in MA, CT, Rl, and NH N• Calculated the economic impact of constructing and operating a residential construction company in Maryland N• Calculated the economic impact of constructing and operating various residential and commercial buildings for the entire state of Oklahoma N• Calculated the economic impact of constructing and operating a company for manufacturing dental implants in Cuyahoga County, OH N• Calculated the economic impact of constructing and operating a mixed-use commercial facility in Brooklyn, NY 631 59 N• Calculated the economic impact of constructing and operating an office building for financial services in downtown Manhattan, NY N• Calculated the economic impact of constructing and operating a mixed-use facility in Southern California N• Calculated the economic impact of constructing and operating a retail shopping center in Tampa, FL N• Calculated the economic impact of constructing and operating a retail shopping center in Tampa, FL N• Calculated the economic impact of constructing and operating a mixed-use commercial building in Seattle, WA N• Calculated the economic impact of constructing and operating a charter school in Arizona N• Calculated the economic impact of constructing and operating a resort in northeastern Utah N• Calculated the economic impact of operating an online video game company N• Calculated the economic impact of constructing and operating a hotel in New York City N• Calculated the economic impact of constructing and operating a fashion mall in South Florida E• Calculated the economic impact of construction and operation of a new automobile assembly plant in Petersburg, VA N• Calculated the economic impact of operating a call center for the U.S. government in Muskogee, OK N• Calculated the economic impact of developing a mixed-use commercial and residential center in Scottsdale, AZ N• Calculated the economic impact of constructing and operating a "Green Box" facility in New Jersey to process waste material on a pollution-free basis. N• Calculated the economic impact of constructing and operating a "Green Box" facility in Washington State to process waste material on a pollution-free basis. E• Calculated the economic impact of constructing and operating a new hotel in Coral Gables, FL 632 60 E• Calculated the economic impact of developing a new residential community in Brevard County, and retail stores and restaurants in St. Lucie County, FL N • Calculated the economic impact of a new business to store and process field crops in Madison, MS N• Calculated the economic impact of operating food service establishments and assisted living centers in 40 counties in Texas. E• Calculated the economic impact of developing a mixed-use commercial center in Miami, FL N• Calculated the economic impact of renovating a theater in New York City to show film highlights of previous Broadway hits. N• Calculated the economic impact of renovating and operating distressed buildings in the San Francisco Bay area. E• Calculated the economic impact of a mixed-use commercial center in Montgomery County, TX E• Calculated the economic impact of expanding a manufacturing facility to produce more energy-efficient lighting in Sarasota, FL N• Calculated the economic impact of developing facilities for amateur sporting events in northern GA N• Calculated the economic impact of developing a mixed-use commercial center in Missoula, MT N• Calculated the economic impact of operating call centers in Las Vegas, NV, and other western Nevada counties E• Calculated the economic impact of constructing and operating a proton cancer treatment center in Boca Raton, FL E• Calculated the economic impact of constructing and operating a "Green Box" facility in Detroit to process waste material on a pollution-free basis. E• Calculated the economic impact of renovating and expanding commercial property in Lower Manhattan N• Calculated the economic impact of constructing student housing and retail stores in Davie, FL 633 61 E• Calculated the economic impact of constructing residential housing near Harvard University E• Calculated the economic impact of developing mixed-use commercial centers in Broward County, FL E• Calculated the economic impact of renovating a Dallas apartment building E• Calculated the economic impact of renovating and operating a nursing home in Las Vegas, NV E• Calculated the economic impact of constructing a hotel and shopping center in Miami, FL E• Calculated the economic impact of developing a design center in Miami/Dade county, FL E• Calculated the economic impact of developing and operating a chain of children's playrooms and party facilities in South Florida E• Calculated the economic impact of developing a new stadium for the Nets basketball team, to be located in Brooklyn, NY E• Calculated the economic impact of developing a Marriott hotel in Washington, D.C. E• Calculated the economic impact of developing and operating a casino for foreign patrons in Las Vegas, NV E• Calculated the economic impact of operating a series of yogurt fast-food restaurants in South Florida E• Calculated the economic impact of constructing steel homes and commercial buildings in South Florida N• Calculated the economic impact of construction and operation of a farm distillery in Vermont N• Calculated the economic impact of purchase and renovation of deeply discounted residential properties in South Florida N• Calculated the economic impact of a hotel to be built near LaGuardia Airport in Queens, NY N• Calculated the economic impact for several mixed-use commercial and residential properties for a regional center covering southern Wisconsin and northern Illinois. 634 62 N• Calculated the economic impact for mixed-use commercial project in Flushing, NY E• Calculated the economic impact for major new hotel near the Washington, D. C. conference center N• Calculated the economic impact of an assisted living center in suburban Atlanta, GA N• Calculated the economic impact of an office tower in mid-town Manhattan for the diamond trade N• Calculated the economic impact of three mixed-use commercial and residential projects in Santa Clara County, CA N• Calculated the economic impact of six mixed-use commercial and residential projects in Los Angeles, Orange, Riverside, and San Bernardino counties N• Calculated the economic impact of operating a chain of pizza restaurants in southern Florida. N• Calculated the economic impact of constructing and operating an assisted living facility in Atlanta, GA E• Calculated the economic impact of constructing and operating an expansion of University Hospital in Cleveland, OH E• Calculated the economic impact of a wastewater treatment plant in Victorville, CA N• Calculated the economic impact of drilling for geothermal energy and constructing and operating power plants in several counties in Nevada E• Calculated the economic impact of a vacation club operation in Orlando, FL E• Calculated the economic impact of constructing and operating an extended-stay hotel in Boston, MA E• Calculated the economic impact of constructing and operating an assisted living facility in Walton County, FL N• Calculated the economic impact of manufacturing and constructing residential and commercial steel modular buildings in Lee County, FL E• Calculated the economic impact of a chain of yogurt and juice stores and restaurants in southern Florida 635 63 E• Calculated the economic impact of two mixed-use commercial developments in Orange County, CA. E• Calculated a Targeted Employment Area by census tracts for six counties in the Houston, TX metropolitan area E• Calculated the expansion of new hybrid car manufacturing facility from Mississippi to Tennessee and Virginia. E• Calculated the economic impact of construction and operation of a skilled nursing facility in Las Vegas, NV. N• Calculated the economic impact of construction and operation of a proton cancer treatment center and medical offices buildings in Los Angeles County, CA. E• Determined the economic impact of improving facilities at the Port of Baltimore in order to attract more shipping from the Panama Canal when the locks are widened. N• Calculated the economic impact of a major hotel and resort area in Ft. Lauderdale, FL. N• Calculated the economic impact of building steel homes in South Florida, including the local manufacture of steel fabricated parts. E• Calculated the economic impact of constructing and operating a hotel at Times Square in New York City. N• Calculated the economic impact of a mixed-used residential and commercial project in Atlanta, GA. E• Calculated the economic impact of expanding and opening new restaurants in Dallas, TX. In a separate project, calculated the economic impact of renovating, refurbishing, and operating a boutique hotel in Dallas, TX. E• Calculated the economic impact of building and operating low-income housing in Boston, MA. N• Calculated the economic impact of constructing and operating assisted living facilities in eight rural Texas counties. N• Calculated the economic impact of a mixed-use commercial project in Riverside County, CA. E• Calculated the economic impact of opening a manufacturing plant for "green" motor vehicles in the Detroit, Ml area. 636 64 E• Calculated the economic impact of constructing and operating hotels and restaurants in Columbus, MS. E• Calculated the economic impact of operating restaurants in the Hotel Win Hollywood, CA. N• Calculated the economic impact of a mixed-use commercial project in McCook, IL (suburban Chicago). N• Calculated the economic impact of constructing and operating a water-based amusement facility in San Diego, CA. N• Calculated the economic impact of a mixed-use commercial facility in suburban Cincinnati, OH (project is in KY). E• Calculated the economic impact of constructing and operating a casino, hotel, and restaurant in Las Vegas, NV. N• Calculated the economic impact of a new academic institution for alternative energy in Santa Clarita, CA. N• Calculated the economic impact of several mixed-used projects in San Francisco, Alameda County, Santa Clara County, and Fresno County. N• Calculated the economic impact of a super energy store and solar farm in Riverside County, CA. N• Calculated the economic impact of a prostate cancer treatment center in South Carolina. E• Calculated the economic impact of refurbishing and expanding retail space at the George Washington Bridge in New York City. E• Calculated the economic impact of building Atlantic Yards, new stadium for the New York Nets, in Brooklyn, NY N• Calculated the economic impact of an assisted living center and several mixed-use commercial facilities in the Reno, NV area. E• Calculated the economic impact of buying residential properties at deep discount prices, refurbishing and selling them, in South Florida. N• Calculated the economic impact for a fractional-ownership marina in Port Charlotte, FL, plus office space, retail stores, restaurants, and a home brokerage office. N• Calculated the economic impact of construction and operation of four retirement homes in Vermont. 637 65 E• Calculated the economic impact of an upscale retail shopping center in Vail, CO. and a medical office building in Edwards, CO (both in Eagle County). E• Calculated economic impact of a wind turbine manufacturing plant in Larimer County, CO N• Calculated economic impact of a hotel, retail stores, restaurants, office buildings, and bank facilities in Pasadena, CA N• Calculated economic impact of a luxury hotel and condominiums in Destin, FL N• Calculated economic impact of constructing and operating a mixed-use commercial project in Jupiter, FL E• Determined whether 17 possible restaurant locations in Miami/Dade and Broward Counties qualified as Targeted Employment Areas. E• Determined the economic impact of opening and operating a slot-machine casino in Hanover, MD, as part of a proposed EB-5 regional center for the Baltimore metropolitan area. N• Calculated the economic impact of renovating and expanding a restaurant on Martha's Vineyard, MA, as part of an EB-5 regional center in that state. N• Determined the economic impact of assembling and installing solar panels for residences in the state of LA. E• Determined a Targeted Employment Area for Dallas, TX as part of a proposed EB-5 regional center for the Dallas area. N• Calculated the economic impact for various mixed used projects for a proposed regional center for the entire State of Texas, including shopping centers, office buildings, restaurants, assisted living centers, medical technology facilities, and other personal and business services. N· Calculated the economic impact for the construction and operation of several fastfood restaurants in 10 counties in central California. N• Calculated the economic impact for the renovation and expansion of a shopping mall in Greenville, SC. E• Calculated the economic impact of buying existing apartment buildings at deep discount prices, renovating and operating them, in 21 counties in FL. N• Calculated the economic impact of building and operating an institute for proton cancer therapy for a proposed EB-5 regional center in Brooklyn, NY. 638 66 N• Calculated the economic impact of building and operating a mixed-use facility with medical offices, hotels, and apartments for a proposed EB-5 regional center in Queens, NY. E• Determined a Targeted Employment Area for Philadelphia, PA as part of a proposed EB-5 regional center for the Philadelphia area. N• Calculated the economic impact of a proposed office building and mixed-use facility for an EB-5 regional center in Dallas, Texas N· Calculated the economic impact for various mixed-use projects for a proposed EB-5 regional center in the greater New York City area, including an extended stay hotel, urgent care center, financial lending firm for alternative assets, retail stores, apartments, office space, warehouses, industrial "flex" space, entertainment centers, restaurants, conference and convention centers, nursing home and assisted living facilities, medical offices, medical technology facilities, and high-tech manufacturing. N· Calculated the economic impact of "green" hotels in 10 counties in Central California. N• Calculated the economic impact of generic projects in manufacturing, financial services, health services, hotels, and restaurants for a proposed regional center for the state of Florida. E• Calculated the economic impact of 12 different types of economic activity for an expansion of the Palm Beach Regional Center to five contiguous counties. N• Calculated the economic impact of a new auto parts plant in Alabama to supply parts to Kia automobiles. N• Calculated the economic impact of opening fast-food restaurants in Miami/Dade and Broward counties in FL. N• Calculated the economic impact of a mixed-use commercial center in Flushing, Queens County, NY. E• Calculated the economic impact of revitalizing and renovating part of the Brooklyn Navy Yard for "green" manufacturing facilities. E· Calculated the economic impact of 12 different types of economic activity for various counties in Charlotte and Sarasota counties, FL E• Calculated the economic impact of four new manufacturing and distribution companies in Palm Beach County, FL. N• Calculated the economic impact of developing a resort area and building residences in rural Tennessee. 639 67 N• Calculated the economic impact of developing and operating a resort area in Southern Arizona. N• Calculated the economic impact of revitalizing the depressed East Side of Cleveland, Ohio, with new commercial and industrial buildings. N• Determined the nationwide economic impact of a $1 billion investment in Mississippi for a new hybrid motor vehicle plant. N· Determined the economic impact of expanding a shipyard in Southeastern Louisiana. N· Calculated the economic impact of a new shopping center in Buena Vista, California, and two other generic shopping centers in Los Angeles and San Bernardino counties. E• Calculated the economic impact of enhancing resort areas in eight rural counties in Colorado. N• Calculated the economic impact of the rehabilitation of Fitzsimons Village in Aurora, Colorado, by adding an office building with medical labs, hotel, shopping center, and residences. E• Determined the economic impact of a mixed-use commercial center for the Kansas City metropolitan area. N• Calculated the number of jobs created for a film production company in New York City. N• Calculated economic impact of small-scale rooftop solar panels in various counties in California. N• Calculated economic impact of 7 different types of proposed businesses for a proposed regional center in the Bay Area of California. N• Determined the economic impact of a new biological research park, office building, and logistics center in Wooster, Ohio. E• Calculated the economic effect of a mixed-use urban renewal project in Cleveland, Ohio. N• Calculated economic impact of dairy farm and cheese processing plant in Northern California. 640 68 N• Determined economic impact of a shipyard, food processing plant, and semiconductor plant for a proposed regional center in Louisiana and Mississippi. N• Calculated the economic impact of a new gaming casino in Natchez, Mississippi. N• Developed an Input/output Model for Guam, which was then used to calculate the economic impact of several generic projects. N• Calculated the economic impact of a retail shopping center in suburban Los Angeles County. N· Prepared an economic impact analysis for the "timber to homes" project for a proposed regional center in Colorado. N• Calculated the economic impact for a proposed regional center in Baltimore, Maryland that would include the rebuilding of depressed areas in East Baltimore and along the riverfront. N· Prepared the economic analysis for a proposed EB-5 regional center for the entire state of Florida that included impact calculations for 14 different types of industries. N• Prepared the economic analysis for a proposed EB-5 regional center in the San Francisco Bay area that included calculations for 10 different types of industries. N• Prepared economic impact calculations for proposed EB-5 regional centers in New York City and Northeastern New Jersey. • Calculated the economic impact of a rehabilitated office building in Albuquerque, New Mexico, including the increase in high quality jobs. • Calculated the economic impact of a rehabilitated skilled nursing center in East Los Angeles, California, including the impact on nearby census tracts. MARKETS N• Calculated the economic impact of development of warehouse and light industrial manufacturing space in Las Vegas, Nevada. N· Calculated the economic impact of rehabilitation and expansion of a vacation and health spa in Sharon Springs, New York N• Calculated economic impact of revitalizing an old resort hotel and adding new facilities for Lake Geneva, WI. • Calculated the employment and tax effects for a portfolio of projects undertaken under the New Market capital program. 641 69 E• Calculated generic employment changes for proposed EB-5 project for an Inland Port in Palm Beach County, FL N· Calculated the economic impact of construction of El Monte Village in El Monte, CA. • Calculated the economic impact of moving the Social Security Administration building in Birmingham, AL, and revitalizing the surrounding neighborhood. • Calculated the economic impact of rehabbing and expanding the Everett Mall in Everett, WA. • Determined the economic impact of building a new medical center in Charleston, SC N• Calculated economic impact of expanding Sugarbush resort in VT. Study included expansion of existing facilities and addition of new facilities. • Calculated economic impact for new market tax credit program in Portsmouth, N.H. Study included both overall economic impact, and the increase in employment and income and the decrease in the unemployment rate and incidence of poverty in individual census tracts. NEW 1\IIMKI'\. N• Calculated the economic benefits of EB-5 programs for foreign investors for a mixed-use construction project, including a hotel, retail stores, apartments, and a sports stadium in the Washington, D. C. metropolitan area N· Calculated the economic benefits of EB-5 programs for a mixed-used retail shopping center in the New York City metropolitan area. N• Calculated the economic benefits of EB-5 programs for foreign investors for proposed shopping centers in five separate counties in Southern California, including differential impacts of building the shopping centers in different counties. B. Projects for State and Local Governments • Constructed an econometric model for the State of New York and determined the change in employment, labor income, and tax revenues for 43 different tax changes proposed by the Governor's office. • Constructed a detailed econometric model for the State of Pennsylvania to determine the economic impact of the complete panoply of state taxes levied; the model contains over 1,000 equations. In cooperation with American Economics Group, the model was 642 70 developed to simulate the effect of changes in any state tax rate on households and businesses by income deciles, household status, age of individuals, size of households, and many other demographic variables. The change in business taxes can also be simulated for detailed industry classifications. • Determined whether the Washington, D.C. water and sewer authority should accept a high bid for a new waste disposal system. Decision to reject has saved the authority over $200 million, as construction prices turned down sharply as predicted. • Built an econometric model to determine the "tax gap" caused by Internet sales for the state of Minnesota. • Determined appropriate levels of shelter grants individual counties in New York State, and for utility allowances in New York City. Reviewed and prepared testimony in ongoing court cases in these areas. Calculated the economic impact of the revitalization of downtown Milwaukee, Wisconsin. C. Economic Impact of Casino Gaming • Built an econometric model to predict the growth of the gaming industry over the next decade, and the economic impact of that industry on employment and tax revenues at the Federal and state levels. • Estimated the economic impact of Indian casino gaming nationally and for the State of Wisconsin. • Determined the economic impact of the Oneida Indian gaming casino on the Green Bay metropolitan area. • Estimated the negative economic impact on the Milwaukee area if a new Indian gaming casino were to be built in Kenosha, Wisconsin. D. Economic Impact of Smoking Bans and Higher Taxes • Testified on economic impact of smoking bans in Canada; certified as an expert witness by the Court. • Examined the impact of smoking bans on restaurant sales in several different locations in the U.S. to determine how much sales changed when these bans were imposed, and the differential effects depending on whether these bans were partial or total. 643 71 • Determined the cross-border effects on retail sales from differential rates in cigarette, gasoline, and alcohol excise taxes Determined the economic impact of higher cigarette taxes on minority group employment. • Estimated the economic impact and loss of Federal and state tax revenues when higher cigarette prices lead to increased smuggling. E. Consulting Projects for Travel and Tourism • Built an econometric model to predict tourism trips and revenues for the major regions of the U.S. economy. • Constructed econometric models to predict tourism in Las Vegas and Orlando. • Using the IMPLAN model, predicted economic impact of tourism and travel expenditures for all counties in Pennsylvania. F. Other Private Sector Consulting Projects Calculated the revenue gain at the Federal, state and local level generated by domestic manufacturing of Airbus parts and equipment. • Calculated the economic impact of proposed EPA bans on fluoropolymer production. • Estimated the size and economic importance of the fluoropolymer industry, and calculated economic impact of shutting down domestic production. • Built an econometric model to examine how U.S. tax and regulatory policies help determine whether the gold mining industry would invest in the U.S. or other countries. Testified before Congress to help defeat legislation inimical to the mining industry. • Built an econometric model to predict consumer bankruptcies, based on recent growth in consumer credit outstanding, the overall economic environment, and recent changes in credit regulations • Estimated the economic impact of the ethanol subsidy on the U.S. economy and Farm Belt States, including the impact on the balance of payments, employment, and tax receipts. Testified before Congress to help pass legislation to extent subsidies to the ethanol industry. 644 72 • Built an econometric model to determine the impact of updating and improving the system of locks on the Upper Mississippi River on corn prices and exports, farm income, and the overall economy. BOOKS PUBLISHED Macroeconomics for Managers, Blackwell, 2003 Practical Business Forecasting, Blackwell, 2002 Economic Impact of the Demand for Ethanol, Diane Publishing Company, 1998 How to Make Your Shrinking Salary Support You in Style for the Rest of Your Life, Random House, 1991 The Truth About Supply-Side Economics. Basic Books, 1983. A Supply-Side Model of the U. S. Economy, mimeo (prepared for Senate Finance Committee), 1980. An Econometric Model of the French Economy: O.E.C.D, March 1969. A Short-Term Forecasting Model. Econometric Gaming (with L. R. Klein and M. J. Hartley). Random House, 1969. Macroeconomic Activity: Theory, Forecasting and Control. Harper & Row, 1969. The Wharton Econometric Forecasting Model (with L.R. Klein), Economics Research Unit, Wharton School: University of Pennsylvania Press, 1967. Enlarged edition, 1968. Over 30 articles in major academic journals and publications (list on request) 645 TAB EXHIBIT NAME NUMBER Sample Loan Terms. 22. 646 ' ";Jft v.112/20/2012 (b)(4) FORM OF LOAN COMMITMENT 88 Morgan Street Funding, LLC 1295 U.S. Highway One, Suite 300 North Palm Beach, FL 33048 [date], 2013 647 aft v.1 12/20/2012 648 "aft v.1 12/20/2012 649 I. ?aft v.1 12/20/2012 650 ·::~ft v.112/20/2012 Accepted and Agreed as of the date set forth above: 88 Morgan Street, LLC A limited liability company Name: Title: 651 1 EXHIBIT 1 FUNDING 652 EXHIBIT NAME TAB NUMBER Evidence for Request for Expedited Processing Memorandum Supporting Expedited Processing Request 23. 653 N,LLP THF COMPREHE~JSiVE IMMIGRATION I;\W FIRM Memorandum To: U.S. Citizenship & Immigration Services, EB-5 Visa Unit From: U.S. Immigration Fund-NJ, LLC Re: Request for Expedited Processing ofl-924 Application for Regional Center Date: December 12, 2012 The U.S. Immigration Fund -NJ, LLC ("USIF-NJ") is requesting Expedited Processing of this I-924 Application for Regional Center because of the urgent need to attract investment to the areas of New Jersey devastated by Hurricane Sandy following its landfall on October 29, 2012. The USCIS Expedite Processing Request criteria are satisfied in this case due to the Extreme Emergent and Humanitarian Situation of the destruction caused by Hurricane Sandy. Hurricane Sandy According to the White House, Hurricane Sandis landfall on October 29, 2012 caused ·'major flooding, extensive structural damage, and significant loss of life. A dangerous nor' easter followed 9 days later causing additional damage and undermining the recovery effort. As a result of these events, thousands of individuals were displaced and millions lost power, some for an extended period of time. Over 1,600 stores were closed, and fuel distribution was severely disrupted, further complicating the recovery effort. New York and New Jersey -- two of the Nation's most populous States-- were especially hard hit by these storms". See Executive Order of December 7, 2012, appointing Hurricane Sandy Rebuilding Task Force at Exhibit 23. According to the U.S. Department of Labor, Hurricane Sandy brought "[h]igh winds and flooding [that] caused dozens of deaths and massive damage to homes, businesses, power systems, transportation systems, and other property in many states, especially New Jersey and 654 N,L THE COMPREHEt'~S!VE IMMIC;RATION L;\W FIRJv\ the New York metropolitan area. Sandy's reach placed it among the largest Atlantic tropical cyclones on record." See Exhibit 23. Hurricane Sandy is the 2nd largest Atlantic storm by size, covering an area twice the size of the State of Texas at it made landfall on the Jersey Shore on October 29, 2012. It had the lowest barometric pressure of any hurricane or storm on record (meaning that it packed the most force of any recorded storm) and made landfall with winds over 100 miles per hour. It brought a storm surge measured at 13 feet in New York, and the highest ever recorded wave was measured in New York Harbor, at over 32 feet. See news reports enclosed at Exhibit 24. After its passing over New Jersey and New York, over 7.1 million persons were without electricity, flooding was reported throughout the area, entire communities on the Jersey Shore had been wiped off the map, Jersey City was flooded by several feet of water, and lower Manhattan had experienced its worst t1ooding in a nearly a century. See news reports enclosed at Exhibit 24. The area struck by Hurricane Sandy includes some of the most populous counties in the United States, such as Hudson County. As observed by the Department of Labor: "Hurricane Sandy struck at the most densely populated region of the United States. Four of the five counties with the highest number of labor force participants per square mile in 2011 were among those hardest hit by Sandy. All 26 of the counties designated as major disaster areas are among the top 10 percent of U.S. counties in terms of labor force densiti' (See Department of Labor report at Exhibit 23). The severity of the devastation of these areas made news around the world. We enclose at Exhibit 25 news photographs of the severe devastation in areas from important t1ooding in Jersey City, in Hudson County, to total destruction of boardwalks and homes in Union County, Monmouth County and Middlesex County. On October 30, 2012, President Barak Obama ordered the U.S. federal government to declare federal disaster areas in New Jersey. In response, the Federal Emergency Management Agency (FEMA) issued a Major Disaster Declaration (DR-4086). The New Jersey action by President Obama and FEMA declares Disaster Areas in the following New Jersey counties: Atlantic, Cape May, Essex, Hudson, Middlesex, Monmouth, Ocean and Union. The Counties of Hudson, Middlesex, Monmouth, Ocean and Union are precisely within the Territory of the USIF-NJ. We enclose a copy of the FEMA Disaster Declaration in Exhibit 23. 2 655 LL THE COt/,PRFHFNSiVE IMMI(;RATION L;~W FIRM On December 7, 2012, President Obama created a special task force to address the urgent need to assist in rebuilding and recovery efforts ofNew Jersey and New York. According to the White House, "A disaster of Hurricane Sandy's magnitude merits a comprehensive and collaborative approach to the long-term rebuilding plans for this critical region and its infrastructure. Rebuilding efforts must address economic conditions and the region's aged infrastructure -- including its public housing, transportation systems, and utilities -- and identify the requirements and resources necessary to bring these systems to a more resilient condition given both current and future risks." Territory of the USIF-NJ Covers the Devastated Areas of New Jersey The operating Territory the USIF-NJ includes the northern Jersey Shore area in Hudson County, Union County, Ocean County, Essex County, Monmouth County and Middlesex County. Attracting Investment to Devastated Region Initial news reports projected that the total dollar amount of the damage caused by Hurricane Sandy would range from $20 Billion to $30 Billion. Sadly, even these high estimates were below the actual need for the devastated areas in New Jersey and New York. On December 7, 2012, President Obama wrote to the Hon. John Boehner, Speaker of the House of Representatives, to request a financial aid package for New Jersey and New York of $60 Billion dollars. See Exhibit 24. The devastation from Hurricane Sandy in New Jersey is still being calculated, and is projected to be in excess of $60 Billion. Foreign investment attracted by the USIF-NJ will contribute to alleviating the burden on federal and State government assistance by spurring construction in the devastated areas. Reducing Unemployment Hurricane Sandy caused a significant spike in unemployment in New Jersey. Data from weekly unemployment claims in New Jersey for November show a 300% increase in unemployment claims compared to the previous year's claims in November of 2011. See Exhibit 25. The long-term effects of unemployment add to the heavy human toll, as well as the projected recovery costs of Hurricane Sandy. 3 656 THE COMPREHFNSIVE IMMIGRATION LAW FIRM Investments to the devastated areas in New Jersey will contribute significantly to alleviating the spike in unemployment caused by Hurricane Sandy. (b)(4) The initial project of the USIF-NJ is named 88 Morgan Street and is planned for the federally designated disaster area of Hudson County. The 88 Morgan Street project is projected to initiate excavation in March of 2013, and will createc:Jnew jobs in its construction and operations over the course of its build. These are critically important jobs that will alleviate the emergent unemployment situation in the devastated areas ofNew Jersey. Conclusion Based on the foregoing, we firmly believe that there is ample evidence to support the request by USIF-NJ for Expedited Processing of its 1-924 Application for Regional Center. The operations of the USIF-NJ would not only attract needed investment to the devastated areas in New Jersey, it would be an excellent example of the ability of the EB-5 Regional Center Pilot Program to react with speed and flexibility to contribute capital to the needy areas of the United States. We thank you in advance for your consideration of this Expedited Processing Request. 4 657 EXHIBIT NAME U.S. Government Evidence of the Devastation from Hurricane Sandy • • • • • TAB NUMBER 24. President Obama's Executive Order Declaring Disaster Area for New Jersey Counties that form part of the Regional Center's Territory, dated October 30, 2012. President Obama's Executive Order Creating the Hurricane Sandy Rebuilding Task Force dated December 7, 2012. President Obama's Appropriations Request to the House of Representatives for Hurricane Sandy Relief, dated December 7, 2012. U.S. Department of Labor, Bureau of Labor Statistics, "Hurricane Sandy: A Pre-Stonn Look at Affected Areas," dated November, 2012. U.S. Department of Labor, "Employment Losses After Hurricane", dated December 5, 2012. Analysis on the impact of Hurricanes confirming the negative impact of the stonn on employment and household earnings. 658 Executivl: Order Establishing the Hurricane Sandy Rebuilding Jask Force I The White House 12/14/12 10:57 AM Get Email Updat;•s • B!,OG f f<~iH~' PHOTOS & nDEO • 1Jriefln~J fiRT!'FfSG ROOM !SSCRS ,, , ;/>, \liM!NtSTlt'\TW!\7 rl•, W'H!Tf HOt'S I" Contaet Us '"" GO\'ERNME.\'T F?.oom • Presitlent'ial Actions* F:xecutive Orders The White House EXTENDING Off1ce of tt1e Press Secretary '-'-1""\..J.J For Immediate Release December07, 2012 IrS THE RIGf IT TAX CUTS THIN(~ TO DO Executive Order -- Establishing the Hurricane Sandy Rebuilding Task Force EXECUTIVE ORDER ESTABLISHING THE HURRICANE SANDY REBUILDING TASK FORCE By the authonty vested in me as President by the Constitution and the laws of the United States of America, it is hereby orderel1 as follows: S participants per square mile in 2011 were among those hardest hit by Sandy. All 26 <>f the counties designated as major disaster areas are among the top 10 per\'ent of r.s. counti('s in terms of labor force cknsity. The avnng(' dem;ity for th(•.'r 26 counties, 1,:301labor force pnrtieipanb per sq\w.re mile, was app1·oximately :)0 times 1·hE' average dcn.~ily of I: he WORLD United Stales in 2011. The number of labor force participtmt8 in these 26 counties ranged from just under 27,000 in Bril;tol County. Rhode [8land, to over 1.1 million in both Kings County (Brookl~11) and Quc(•ns County in ~cw York Their nm•mploymcnt rate" ranged from 6.5 1007 ARCHIVE percent in Rockland County, New York tn 12.9 percent in Ailantic Cmmtv, New Jc~rsey. SEARCH SPOTLIGHT FEEDBACK US YOUR frrDBACK AND C0~1~1ENTS IH!S ISSUE OF SP:ALIGHT ON STATISTICS. http://www. bls.gov/spotlight/20 12/sandy/ 12113/2012 667 Hurricane Sandy: BLS Spotlight on Statistics Page 2 of7 Labor force participants per square mile, counties declared major disaster areas after Hurricane Sandy, 2011 annual average New York County, NY Kings County, NY Bronx County, NY Queens CoLmty, NV Hudson County, NJ Richmond County NY Essex County, NJ Union County, NJ Na.>~au Count·r ~IY Bergen CoL1nty, NJ Middles.ex County, NJ Bristol Count';, Rl Westchester County, NY Rockland County, NY Suffolk County, NY Fairfield County. CT Ne'N Haven County, C'T Monmouth Count1·. NJ Somer;etCounty, NJ Newport Count'/, Rl 43ll Ocean County, NJ 425 Middles.e~ County, CT 257 Atlantic County, NJ 244 Cape May Count)•, NJ 232 New London CoLmty, Ci 228 Washington County, Rl 10,000 () laoorforc~ 20,000 30,000 50,000 40,000 density {labor fore~ partidpanh per :;quare mile! Source U.S. Bureau of laoor Statistics Source: Local Area Unemployment Statistics ! Chart Data zones The mupo bdow ~gory hj. llurrkanes an• eal(•gori7.ed as 1-5 based on increasing rates of sustained wind opeed. Maps are presmtcd for Hudson County {which iw:ludf;'s Hoboken, J.:rsey City, and other municipalitit•s) and Atlantic County fwbicb indud,,s Atlantic City). The New .Jersey Department of Labor and Industry ha8 permitted BLS to publish these maps with dots showing the location of t;•mployers. N'<) infC•rmation is cnrrently available Oll how many of these emplo)\~rs suffered damage as u rt.•:;ull of Hurricane Sandy. In Hwhon County, 40 percent of employment as of October 2011 was within the category 1 zone; in Atlantic County, 20 peret•nt of employment was in th<~ category 1 zone. Evanmtion zone~ were provided by the New Yurk City Oft1cc of Erncrgeney Management. New .Jersey hurricam' zom•s W('l'C provided by the United States Army C011)S of Engineers. http://www. bls.gov/spotlight/20 12/sandy/ 12113/2012 668 Page 3 of7 llurricanc Sandy: BLS Spotlight on Statistics Flood evacuation and hurricane zones, selected areas in New York and New Jersey, October 2011 Select a map:jAtlantic, NJ .;::j Source: Ouarkrlv Census of Employment and Wages I Chart Data areas In 2011, among the four metropolitan divisions that compose the New \:'ork-N01ihem New ,JerseyLong Island metropolitan statistical area (Y!SA), New York-Whi!P Plains-Wayne had the highest average total nonfilrrn cmploylm'nt (5,218.ooo). Within New .krsey. 98o.Mo wen· employed within 11H• Edison-New Brunswiek division. Within the New England region. those areas affected by llurricane Sandy were primarily in Connecticut. The largest area, Hartford, employcd 538,900 in 2011. Partl)· located in Connecticut as well as Rhode Island, the Norwich-N'ew London area <'mploycd 128.600. http://www .bls.gov/spotlight/20 12/sandy/ 12113/2012 669 llurricane Sandy: BLS Spotlight on Statistics Page 4 of? Total nonfarm employment, metropolitan areas and divisions declared major disaster areas after Hurricane Sandy, not seasonally adjusted, 2011 annual average Atlanti::Cit•tHammonton, NJ 5,218,600 267,100 Wa 62,200 0 2,000,000 Source: U.S. Bureau of Labor Statisti::s 4,000,000 6,000,000 Employment Source: State and Metropolitan Area Current Emplovm(•nt Statistics I Chart Data areas In those metropolit;m statistical areas and divisions affected hv Hurricane Sandv. the mnjority of employment in :!011 was in the Education and Health Services and Trade, Transportation, and Ctilitic,; industries. The Information industry had the fewest jobs. Within Nt~w .Jersey, compared with all other affected areas, tht• Atlantic City-Hannnontun area employed the highest share of total nonfarm employml'flt in the Leisure and llospiiality industry (3,J.:.! pereent) and the lowest sharP in the Information industrv (o.6 jJ(~lWnll. Within Connecticut and Rhode !: £<; <1; z ~ 1)\ 0 0 it if1 0 > Bridgeport-Stamford-Norwalk, CT ~ Hartford-West Hartford· ., ~ East Hartford, CT !1 ~ ~~ z!!:""'~ .?:" Norwich-New London, CT-Ri u 0% 20% 40% 5ll% 80% 100% Per rent of total nonfarm employment 1111 Mining, logging, and constructJOn !Ill Trade, trilnsportation, ar1d uti!ities 1111 financial activities iii' Education and health services &lather services I Manufacturing !llllnformatmn Ill Professional and busitH!SS services 1 Lersure and hospitality Wl G<>vernment Source. U 5 Bureau of Labor Statistics Sonree: State and Metropolitan Area Current Employnwnt Statistic;, I Chart Data The dmis bdow show employment levels in the w largest occupations in each of six mrtropolitan arras or divisions that were heavily affcded by J!urricanc Sandy. In five of the >r~. e>>:cept maid$ and houseictp~lti~l. mtd•(al, ~nd ~ssiltonu, t Source: National Compensation Survey ! Chart Data More http://www.bls.gov/spotlight/20 12/sandy/ 12/13/2012 672 llurricanc Sandy: BLS Spotlight on Statistics Page 7 of7 State and Metropolitan Area Eeonomi<)S at a Glal1t'<) data: Connecticut I Delaware I District of Columbia I Maryland I New Jersey I New York I Rhode Island Virginia 1 Note: Data in text. chart>. and table' are the latest available ut the time ({pllblication. Intrrnet link:; may lead to more l'ecent data. Generallnformation: (:zo:.:) 691-5200 Media Contact: (202) 691·5902 W\NW.bl$.gov/spotlight RtCOMMEND TfHS PAGE USING· TOOLS CALCULATORS QuotiHni HELP INFO Help & Tutorials VVht~t's FAGs Cart~ers @~ !n,!ury .And mness About BLS Contar;! Us RESOURCES Ne>N 111SP9Ctor Gt?nera! iO!G) Bud~wf and PHrfonnaw:o Find ll 1 DOL No F.:;ar i\d our Mailinq L1:::ts Linking & Copyng!mmcnts ... read them below or add one : lMuhamcd Hany Mouaaz December 6. 2012 at 3:12am That's really very good system _£Brian Cain D~cembcr 6. 2012 at 4:09am It\ cra?y how much damage nature can do. With the unemployment rate skyrocketing, you're right; it's important to reach out now as opposed to later. }the~ Phenomenal Lauren G December 7, 2012 at 5:06am It s~ems that it is important business for businesses to make it their business to provide for the victims of Sandy. I believe we as a people can get together and get it done.(~ :lilldovision December 9, 2012 at 5:53am I am sorry to hear this. I hope all things going to be all right soon. Lc~I\L' a Comment Bl'l,lrl' you post, please prove you arc sentient * http:l/social.dol.gov/blog/strong-headwinds-employment-losses-after-hurricanes/ 12/13/2012 675 Strong Headwinds: Employment Losses after Hurricanes Page 3 of5 \Vh