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FY 2015 Targeted Assistance Formula Allocations

State Letter 15-11

Published: August 14, 2015

To:  State Refugee Coordinators

From:  Robert Carey
            Director
            Office of Refugee Resettlement

Subject: FY 2015 Targeted Assistance Formula Allocations

The FY 2014 Targeted Assistance formula grants are incrementally funded with both FY 2015 and FY 2016 funding. The amount of FY 2015 funds being allocated is 24,847,722. The amount of FY 2015 funds being allocated is 17,993,175, subject to funds availability.

The attached tables show the FY 2015 Targeted Assistance County and Targeted Assistance Area allocations, State allocations, and the population figures used to determine the allocations. The population figures are based on FY 2013 and FY 2014 arrivals data (October 1, 2012, through September 30, 2014) in the ORR Refugee Arrivals Data System (RADS) and data for the same time period that States submitted to the Office of Refugee Resettlement (ORR) and that ORR matched against the data in RADS.

The purpose of Targeted Assistance formula grants is to provide, through a process of local planning and implementation, direct services intended to result in the economic self-sufficiency and reduced welfare dependency of refugees through job placements. Section 412(c)(2)(B) of the Immigration and Nationality Act (INA) provides that Targeted Assistance grants shall be made available "(i) primarily for the purpose of facilitating refugee employment and achievement of self-sufficiency, (ii) in a manner that does not supplant other refugee program funds and that assures that not less than 95 percent of the amount of the grant award be made available to the county or other local entity."

In accordance with 45 C.F.R. 400.314, States are required to provide Targeted Assistance services to refugees in the following order of priority, except in certain individual extreme circumstances: (a) refugees who are cash assistance recipients; (b) unemployed refugees who are not receiving cash assistance; and (c) employed refugees in need of services to retain employment or to attain economic independence.

Pursuant to 45 C.F.R. 400.210(b), Targeted Assistance funds must be obligated by the State no later than one year after the end of the federal fiscal year in which the grant is awarded. Funds must be liquidated within two years after the end of the federal fiscal year in which the grant is awarded. A State’s final SF-425 Federal Financial Report on Targeted Assistance expenditures must be received no later than 90 days after the end of the liquidation period. If final reports are not received on time, any unexpended funds, including any unliquidated obligations, will be de-obligated on the basis of the State’s last filed report.

Reporting

States are required to submit (1) the ORR-6 Performance Reports on a trimester basis and (2) Standard Form (SF) 425 Federal Financial Reports on a quarterly basis.

Performance Reports are submitted using Schedule A and Schedule C of the ORR-6 (OMB Clearance Number 0970-0036). The ORR-6 Performance Reports are submitted to the Office of Refugee Resettlement. The ORR-6 Performance Report may be found at: www.acf.hhs.gov/programs/orr/resource/report-forms.

Effective October 1, 2013, grantees must continue to submit the SF-425 Federal Financial Report through ACF’s On-Line Data Collection (OLDC) system.  

If you have any questions about Targeted Assistance allocations, please contact Iulia Kramar at (202) 401-5686 or iulia.kramar@acf.hhs.gov.

FY2015 TAG Allocations to Counties

State County Name Refugees/1 C-H Entrants/2 Asylees SIVs Total Total Allocation 58% 42%/4
Arizona Maricopa 4,305 495 156 333 5,289 1,101,357 638,787 462,570
Arizona Pima 1,710 23 27 62 1,822 379,405 220,055 159,350
California Alameda 518 4 142 584 1,248 259,878 150,729 109,149
California Los Angeles 3,122 134 4,375 316 7,947 1,654,847 959,811 695,036
California Orange 636 8 320 288 1,252 260,711 151,212 109,499
California Sacramento 1,406 7 32 1,155 2,600 541,412 314,019 227,393
California San Diego/3 5,412 158 293 689 6,552 1,364,359 791,328 573,031
California San Francisco 34 10 479 15 538 112,031 64,978 47,053
California Santa Clara 506 1 485 198 1,190 247,800 143,724 104,076
California Stanislaus 370 0 3 198 571 118,902 68,963 49,939
Colorado Arapahoe 1,000 8 60 55 1,123 233,848 135,632 98,216
Colorado Denver 1,975 15 53 138 2,181 454,161 263,413 190,748
Connecticut Hartford 512 0 0 29 541 112,655 65,340 47,315
Connecticut New Haven 552 0 0 89 641 133,479 77,418 56,061
Florida Broward 191 1,654 303 5 2,153 448,331 260,032 188,299
Florida Collier 115 1,008 41 2 1,166 242,803 140,826 101,977
Florida Duval 1,521 346 52 99 2,018 420,219 243,727 176,492
Florida Hillsborough 1,172 2,690 83 92 4,037 840,646 487,575 353,071
Florida Lee 95 1,038 19 1 1,153 240,095 139,255 100,840
Florida Miami-Dade 2,427 38,986 590 4 42,007 8,747,344 5,073,457 3,673,884
Florida Orange 551 1,084 448 49 2,132 443,958 257,496 186,462
Florida Palm Beach 457 2,059 179 2 2,697 561,611 325,734 235,877
Florida Pinellas 356 207 124 25 712 148,264 85,993 62,271
Georgia Dekalb 4,016 26 45 133 4,220 878,754 509,677 369,077
Georgia Fulton 1,000 9 18 60 1,087 226,352 131,284 95,068
Idaho Ada 1,311 2 1 70 1,384 288,198 167,155 121,043
Idaho Twin Falls 583 0 1 15 599 124,733 72,345 52,388
Illinois Cook 2,981 50 204 236 3,471 722,785 419,215 303,570
Illinois Dupage 720 3 75 19 817 170,128 98,674 71,454
Illinois Winnebago 514 7 3 29 553 115,154 66,789 48,365
Indiana Marion 2,691 1 5 46 2,743 571,190 331,290 239,900
Iowa Polk 1,017 0 1 14 1,032 214,899 124,641 90,258
Kansas Wyandotte 391 0 0 3 394 82,045 47,586 34,459
Kentucky Fayette 468 23 16 22 529 110,157 63,891 46,266
Kentucky Jefferson 2,203 1,376 26 75 3,680 766,306 444,457 321,849
Kentucky Warren 518 10 3 16 547 113,905 66,065 47,840
Maine Cumberland 567 0 0 47 614 127,857 74,157 53,700
Maryland Baltimore City 1,177 0 171 63 1,411 293,820 170,416 123,404
Maryland Montgomery 845 3 757 341 1,946 405,226 235,031 170,195
Maryland Prince Georges 138 2 272 55 467 97,246 56,403 40,843
Massachusetts Hampden 1,182 3 3 27 1,215 253,006 146,743 106,263
Massachusetts Middlesex 590 40 129 38 797 165,964 96,259 69,705
Massachusetts Suffolk 891 74 56 78 1,099 228,851 132,734 96,117
Massachusetts Worcester 889 5 47 4 945 196,782 114,134 82,648
Michigan Eaton 1,023 1 0 51 1,075 223,853 129,835 94,018
Michigan Kent 1,363 4 1 7 1,375 286,324 166,068 120,256
Michigan Macomb 1,559 0 11 86 1,656 344,838 200,006 144,832
Michigan Oakland 3,635 1 1 136 3,773 785,672 455,690 329,982
Minnesota Hennepin 1,843 0 9 27 1,879 391,274 226,939 164,335
Minnesota Ramsey 1,569 1 2 18 1,590 331,094 192,035 139,059
Missouri Jackson 985 63 5 30 1,083 225,519 130,801 94,718
Missouri Saint Louis City 1,293 12 30 91 1,426 296,944 172,228 124,716
Nebraska Douglas 1,481 1 0 56 1,538 320,266 185,754 134,512
Nebraska Lancaster 533 0 0 104 637 132,646 76,935 55,711
Nevada Clark 1,132 1,549 68 78 2,827 588,682 341,436 247,246
New Hampshire Merrimack 444 0 0 6 450 93,706 54,349 39,357
New Jersey Union 408 214 0 65 687 143,058 82,974 60,084
New Mexico Bernalillo 452 199 0 58 709 147,639 85,631 62,008
New York Albany 617 0 1 99 717 149,305 86,597 62,708
New York Erie 2,737 1 6 87 2,831 589,515 341,919 247,596
New York Kings 51 1 686 27 765 159,300 92,394 66,906
New York Monroe 1,236 136 1 65 1,438 299,443 173,677 125,766
New York New York 296 3 88 67 454 94,539 54,833 39,706
New York Oneida 877 0 0 6 883 183,872 106,646 77,226
New York Onondaga 1,947 253 5 64 2,269 472,486 274,042 198,444
New York Queens 77 6 400 86 569 118,486 68,722 49,764
North Carolina Durham 494 2 0 19 515 107,241 62,200 45,041
North Carolina Guilford 1,370 4 12 37 1,423 296,319 171,865 124,454
North Carolina Mecklenburg 1,218 54 49 39 1,360 283,200 164,256 118,944
North Carolina Wake 948 31 64 85 1,128 234,890 136,236 98,654
North Dakota Cass 766 0 0 11 777 161,799 93,843 67,956
Ohio Cuyahoga 1,212 9 33 84 1,338 278,619 161,599 117,020
Ohio Franklin 2,578 12 50 56 2,696 561,403 325,614 235,789
Ohio Hamilton 334 4 23 1 362 75,381 43,721 31,660
Ohio Summit 1,050 0 0 17 1,067 222,187 128,868 93,319
Oregon Multnomah 1,693 326 52 96 2,167 451,246 261,723 189,523
Pennsylvania Allegheny 924 0 3 19 946 196,991 114,255 82,736
Pennsylvania Dauphin 378 1 1 24 404 84,127 48,794 35,333
Pennsylvania Erie 1,188 0 0 18 1,206 251,132 145,657 105,475
Pennsylvania Lancaster 829 300 0 22 1,151 239,679 139,014 100,665
Pennsylvania Philadelphia 1,333 10 14 99 1,456 303,191 175,851 127,340
South Dakota Minnehaha 798 0 0 14 812 169,087 98,070 71,017
Tennessee Davidson 2,042 78 197 199 2,516 523,920 303,874 220,046
Texas Bexar 1,390 239 49 264 1,942 404,393 234,548 169,845
Texas Dallas 2,982 186 324 511 4,003 833,566 483,468 350,098
Texas Harris 4,340 2,904 485 946 8,675 1,806,442 1,047,736 758,706
Texas Potter 819 65 7 9 900 187,412 108,699 78,713
Texas Tarrant 2,504 85 172 359 3,120 649,695 376,823 272,872
Texas Travis 1,413 637 231 284 2,565 534,124 309,792 224,332
Utah Salt Lake 2,230 5 0 155 2,390 497,683 288,656 209,027
Vermont Chittenden 639 1 7 3 650 135,353 78,505 56,848
Virginia Fairfax 586 0 6 572 1,164 242,386 140,584 101,802
Virginia Henrico 464 1 0 104 569 118,486 68,722 49,764
Washington King 3,223 19 340 428 4,010 835,024 484,314 350,710
Washington Spokane 911 6 1 49 967 201,364 116,791 84,573
Wisconsin Milwaukee 1,640 11 23 29 1,703 354,625 205,683 148,942
Total   121,489 59,004 13,554 11,686 205,733 42,840,900 24,847,722 17,993,175
              42,840,900 total funds  
              208.24 per capita  

1/ Includes Amerasians from Vietnam
2/ Includes Havana parolees and Cuban Medical Professional parolees
3/ A portion of this total will be allocated to the San Diego Wilson-Fish program
4/ FY2016 funding actions are subject to availability of funding and Congressional action

Last Reviewed: February 13, 2019