Datasets:
fips stringlengths 5 5 | state stringclasses 56
values | state_name stringclasses 56
values | county stringlengths 4 33 | population int64 7 10M | contracts_usd float64 -171,382,565.12 41.5B | grants_usd float64 -250,815,533.32 13.4B | contracts_per_capita float64 -7,492.7 272k | grants_per_capita float64 -3,872.28 1.24M |
|---|---|---|---|---|---|---|---|---|
51059 | VA | Virginia | Fairfax County | 1,150,309 | 41,468,945,896.43 | 608,649,176.13 | 36,050.27 | 529.12 |
48439 | TX | Texas | Tarrant County | 2,110,640 | 33,451,233,013.39 | 377,101,884.63 | 15,848.86 | 178.67 |
11001 | DC | District of Columbia | District Of Columbia | 689,545 | 31,427,461,298.33 | 4,912,507,568.71 | 45,577.1 | 7,124.27 |
51177 | VA | Virginia | Spotsylvania County | 140,032 | 30,945,245,287.85 | 12,932,116.42 | 220,986.96 | 92.35 |
48113 | TX | Texas | Dallas County | 2,613,539 | 24,090,556,824.51 | 1,312,973,295.54 | 9,217.6 | 502.37 |
06037 | CA | California | Los Angeles County | 10,014,009 | 22,827,639,125.47 | 4,473,749,677.22 | 2,279.57 | 446.75 |
51013 | VA | Virginia | Arlington County | 238,643 | 14,334,481,469.01 | 304,917,563.68 | 60,066.63 | 1,277.71 |
06073 | CA | California | San Diego County | 3,298,634 | 13,851,530,870.04 | 2,261,670,865.88 | 4,199.17 | 685.64 |
01089 | AL | Alabama | Madison County | 388,153 | 12,777,713,783.78 | 194,368,821.06 | 32,919.27 | 500.75 |
04019 | AZ | Arizona | Pima County | 1,043,433 | 12,332,382,185 | 932,685,433.27 | 11,819.05 | 893.86 |
24031 | MD | Maryland | Montgomery County | 1,062,061 | 11,426,291,043.02 | 1,159,202,017.17 | 10,758.6 | 1,091.46 |
12095 | FL | Florida | Orange County | 1,429,908 | 9,666,637,907.21 | 325,873,478.46 | 6,760.32 | 227.9 |
25017 | MA | Massachusetts | Middlesex County | 1,632,002 | 9,641,513,448.29 | 2,733,923,269.59 | 5,907.78 | 1,675.2 |
29189 | MO | Missouri | St. Louis County | 1,004,125 | 9,070,089,915.63 | 695,620,084.44 | 9,032.83 | 692.76 |
42091 | PA | Pennsylvania | Montgomery County | 856,553 | 8,525,122,561.75 | 170,887,836.5 | 9,952.83 | 199.51 |
04013 | AZ | Arizona | Maricopa County | 4,420,568 | 8,360,410,092.47 | 2,723,780,099.67 | 1,891.25 | 616.16 |
21111 | KY | Kentucky | Jefferson County | 782,969 | 7,295,860,097.17 | 431,084,604.21 | 9,318.2 | 550.58 |
12009 | FL | Florida | Brevard County | 606,612 | 7,229,126,144.97 | 137,064,587.8 | 11,917.22 | 225.95 |
53033 | WA | Washington | King County | 2,269,675 | 7,060,865,028.83 | 2,376,160,921.81 | 3,110.96 | 1,046.92 |
51810 | VA | Virginia | Virginia Beach City | 459,470 | 7,001,400,047.88 | 63,878,440.89 | 15,237.99 | 139.03 |
35001 | NM | New Mexico | Bernalillo County | 676,444 | 6,871,141,401.03 | 364,875,621.24 | 10,157.74 | 539.4 |
47001 | TN | Tennessee | Anderson County | 77,123 | 6,392,294,881.27 | 46,111,311.67 | 82,884.42 | 597.89 |
42003 | PA | Pennsylvania | Allegheny County | 1,250,578 | 6,360,874,333.17 | 1,253,350,895.41 | 5,086.35 | 1,002.22 |
25009 | MA | Massachusetts | Essex County | 809,829 | 6,192,402,026.55 | 323,544,692.23 | 7,646.56 | 399.52 |
06001 | CA | California | Alameda County | 1,682,353 | 5,889,224,145.37 | 1,325,403,544.24 | 3,500.59 | 787.83 |
48029 | TX | Texas | Bexar County | 2,009,324 | 5,654,240,380.37 | 858,988,054.36 | 2,814 | 427.5 |
35028 | NM | New Mexico | Los Alamos County | 19,419 | 5,276,252,197.71 | 15,871,980.2 | 271,705.66 | 817.34 |
28059 | MS | Mississippi | Jackson County | 143,252 | 5,222,044,135.07 | 165,669,792.92 | 36,453.55 | 1,156.49 |
51700 | VA | Virginia | Newport News City | 186,247 | 5,087,082,536.89 | 61,552,299.92 | 27,313.63 | 330.49 |
48201 | TX | Texas | Harris County | 4,731,145 | 5,078,630,569.25 | 1,664,363,841.32 | 1,073.45 | 351.79 |
15003 | HI | Hawaii | Honolulu County | 1,016,508 | 5,066,302,782.89 | 1,382,989,863.88 | 4,984.03 | 1,360.53 |
24033 | MD | Maryland | Prince George'S County | 967,201 | 4,887,049,787.44 | 632,406,296.46 | 5,052.78 | 653.85 |
24027 | MD | Maryland | Howard County | 332,317 | 4,715,895,690.85 | 91,732,062.55 | 14,190.96 | 276.04 |
24037 | MD | Maryland | St. Mary'S County | 113,777 | 4,627,308,984.36 | 44,155,727.7 | 40,669.99 | 388.09 |
24003 | MD | Maryland | Anne Arundel County | 588,261 | 4,425,804,625.2 | 261,440,759.32 | 7,523.54 | 444.43 |
53005 | WA | Washington | Benton County | 206,873 | 4,374,477,460.01 | 137,960,926.57 | 21,145.71 | 666.89 |
40109 | OK | Oklahoma | Oklahoma County | 796,292 | 4,368,867,971.81 | 1,203,504,112.36 | 5,486.51 | 1,511.39 |
08041 | CO | Colorado | El Paso County | 730,395 | 4,048,388,969.89 | 195,506,481.41 | 5,542.74 | 267.67 |
17031 | IL | Illinois | Cook County | 5,275,541 | 3,939,952,051.54 | 4,128,221,856.46 | 746.83 | 782.52 |
06085 | CA | California | Santa Clara County | 1,936,259 | 3,877,202,554.01 | 1,139,251,467.58 | 2,002.42 | 588.38 |
12057 | FL | Florida | Hillsborough County | 1,459,762 | 3,627,476,876.49 | 1,000,483,039.54 | 2,484.98 | 685.37 |
29095 | MO | Missouri | Jackson County | 717,204 | 3,593,240,443.56 | 502,744,893.02 | 5,010.07 | 700.98 |
51107 | VA | Virginia | Loudoun County | 420,959 | 3,548,513,263.84 | 183,776,230.58 | 8,429.59 | 436.57 |
17043 | IL | Illinois | Dupage County | 932,877 | 3,501,321,898.49 | 118,810,725.01 | 3,753.25 | 127.36 |
45003 | SC | South Carolina | Aiken County | 168,808 | 3,379,224,925.98 | 74,056,382.21 | 20,018.16 | 438.7 |
66010 | GU | Guam | Guam | 153,836 | 3,317,422,714.06 | 385,782,253.04 | 21,564.67 | 2,507.75 |
51510 | VA | Virginia | Alexandria City | 159,467 | 3,271,054,420.67 | -67,368,729.38 | 20,512.42 | -422.46 |
51153 | VA | Virginia | Prince William County | 482,204 | 3,133,805,122.29 | 97,928,469.88 | 6,498.92 | 203.09 |
51710 | VA | Virginia | Norfolk City | 238,005 | 3,120,437,269.24 | 513,391,793.6 | 13,110.81 | 2,157.06 |
08035 | CO | Colorado | Douglas County | 357,978 | 3,105,346,226.24 | 240,949,471.33 | 8,674.68 | 673.08 |
48215 | TX | Texas | Hidalgo County | 870,781 | 3,033,978,021.15 | 179,712,200.52 | 3,484.2 | 206.38 |
42133 | PA | Pennsylvania | York County | 456,438 | 3,030,159,516.97 | 163,894,982.92 | 6,638.71 | 359.07 |
34005 | NJ | New Jersey | Burlington County | 461,860 | 2,985,886,354.53 | 105,233,133.28 | 6,464.92 | 227.85 |
13067 | GA | Georgia | Cobb County | 766,149 | 2,965,612,940.49 | 83,518,701.33 | 3,870.8 | 109.01 |
18097 | IN | Indiana | Marion County | 977,203 | 2,872,164,543.87 | 1,604,065,285.54 | 2,939.17 | 1,641.49 |
48375 | TX | Texas | Potter County | 118,525 | 2,817,610,320.27 | 73,635,327.2 | 23,772.29 | 621.26 |
32003 | NV | Nevada | Clark County | 2,265,461 | 2,779,471,979.03 | 490,602,304.07 | 1,226.89 | 216.56 |
08031 | CO | Colorado | Denver County | 715,522 | 2,768,986,005.81 | 1,239,389,241.27 | 3,869.88 | 1,732.15 |
08059 | CO | Colorado | Jefferson County | 582,910 | 2,738,352,873.83 | 317,493,055.77 | 4,697.73 | 544.67 |
55063 | WI | Wisconsin | La Crosse County | 120,784 | 2,542,088,077.38 | 59,234,922.06 | 21,046.56 | 490.42 |
16019 | ID | Idaho | Bonneville County | 123,964 | 2,509,863,645.41 | 18,215,673.56 | 20,246.71 | 146.94 |
24005 | MD | Maryland | Baltimore County | 854,535 | 2,482,200,396.55 | 796,560,458.41 | 2,904.74 | 932.16 |
24510 | MD | Maryland | Baltimore City | 585,708 | 2,426,200,588.72 | 6,291,600,201.73 | 4,142.34 | 10,741.87 |
23023 | ME | Maine | Sagadahoc County | 36,699 | 2,370,635,127.61 | 13,601,717.52 | 64,596.72 | 370.63 |
24025 | MD | Maryland | Harford County | 260,924 | 2,340,410,318.54 | 72,159,903.02 | 8,969.7 | 276.56 |
39057 | OH | Ohio | Greene County | 167,966 | 2,281,232,313.82 | 82,403,331.1 | 13,581.51 | 490.6 |
12031 | FL | Florida | Duval County | 995,567 | 2,243,854,614.8 | 438,596,114.56 | 2,253.85 | 440.55 |
26099 | MI | Michigan | Macomb County | 881,217 | 2,203,339,056.41 | 96,922,248.52 | 2,500.34 | 109.99 |
02020 | AK | Alaska | Anchorage Municipality | 291,247 | 2,156,526,453.1 | 506,382,383.11 | 7,404.46 | 1,738.67 |
36103 | NY | New York | Suffolk County | 1,525,920 | 2,070,594,015.14 | 492,088,729.83 | 1,356.95 | 322.49 |
06067 | CA | California | Sacramento County | 1,585,055 | 1,989,030,685.09 | 13,355,844,159.89 | 1,254.87 | 8,426.11 |
45019 | SC | South Carolina | Charleston County | 408,235 | 1,945,555,371.24 | 603,776,565.16 | 4,765.77 | 1,478.99 |
22071 | LA | Louisiana | Orleans Parish | 383,997 | 1,870,227,751 | 492,505,805.29 | 4,870.42 | 1,282.58 |
01097 | AL | Alabama | Mobile County | 414,809 | 1,835,370,880.5 | 281,602,699.36 | 4,424.62 | 678.87 |
06111 | CA | California | Ventura County | 843,843 | 1,814,788,353.11 | 192,430,735.81 | 2,150.62 | 228.04 |
19113 | IA | Iowa | Linn County | 230,299 | 1,810,095,647.78 | 125,178,808.68 | 7,859.76 | 543.55 |
36055 | NY | New York | Monroe County | 759,443 | 1,804,341,371.42 | 553,110,458.69 | 2,375.87 | 728.31 |
12091 | FL | Florida | Okaloosa County | 211,668 | 1,770,939,355.82 | 65,235,979.12 | 8,366.59 | 308.2 |
36067 | NY | New York | Onondaga County | 476,516 | 1,704,621,210.59 | 732,535,695.14 | 3,577.26 | 1,537.27 |
12103 | FL | Florida | Pinellas County | 959,107 | 1,675,866,861.87 | 1,017,688,939.49 | 1,747.32 | 1,061.08 |
53035 | WA | Washington | Kitsap County | 275,611 | 1,644,267,941.22 | 131,706,071.11 | 5,965.9 | 477.87 |
39061 | OH | Ohio | Hamilton County | 830,639 | 1,642,676,829.4 | 709,555,300.62 | 1,977.61 | 854.23 |
36061 | NY | New York | New York County | 1,694,251 | 1,580,822,155.1 | 6,695,444,867.67 | 933.05 | 3,951.86 |
08005 | CO | Colorado | Arapahoe County | 655,070 | 1,571,711,685.25 | -250,815,533.32 | 2,399.3 | -382.88 |
48231 | TX | Texas | Hunt County | 99,956 | 1,566,579,178.13 | 54,310,898.12 | 15,672.69 | 543.35 |
26163 | MI | Michigan | Wayne County | 1,793,561 | 1,564,701,490.21 | 1,310,834,469.38 | 872.4 | 730.86 |
25025 | MA | Massachusetts | Suffolk County | 797,936 | 1,554,071,803.6 | 3,401,310,554.59 | 1,947.61 | 4,262.64 |
33011 | NH | New Hampshire | Hillsborough County | 422,937 | 1,542,019,343.98 | 133,783,101.19 | 3,645.98 | 316.32 |
49011 | UT | Utah | Davis County | 362,679 | 1,520,083,215.11 | 48,324,595.86 | 4,191.26 | 133.24 |
55139 | WI | Wisconsin | Winnebago County | 171,730 | 1,514,643,780.41 | 49,891,564.3 | 8,819.91 | 290.52 |
48453 | TX | Texas | Travis County | 1,290,188 | 1,513,783,881.62 | 9,873,168,346.03 | 1,173.3 | 7,652.5 |
17097 | IL | Illinois | Lake County | 714,342 | 1,471,452,823.35 | 107,316,769.15 | 2,059.87 | 150.23 |
49035 | UT | Utah | Salt Lake County | 1,185,238 | 1,457,517,394.01 | 1,610,238,674.07 | 1,229.73 | 1,358.58 |
48491 | TX | Texas | Williamson County | 609,017 | 1,449,485,002.46 | 729,643,018.02 | 2,380.04 | 1,198.07 |
24021 | MD | Maryland | Frederick County | 271,717 | 1,438,707,112.9 | 117,070,474.29 | 5,294.87 | 430.85 |
13153 | GA | Georgia | Houston County | 163,633 | 1,408,534,428.48 | 18,655,702.85 | 8,607.89 | 114.01 |
48085 | TX | Texas | Collin County | 1,064,465 | 1,405,451,452.44 | 179,469,819.25 | 1,320.34 | 168.6 |
49057 | UT | Utah | Weber County | 262,223 | 1,403,193,345.91 | 107,579,745.18 | 5,351.15 | 410.26 |
27053 | MN | Minnesota | Hennepin County | 1,281,565 | 1,389,783,006.95 | 1,035,714,364.05 | 1,084.44 | 808.16 |
06059 | CA | California | Orange County | 3,186,989 | 1,368,405,664.5 | 903,580,285.62 | 429.37 | 283.52 |
Coffermap: where federal contract and grant dollars go, by state and county
Need it fresh, filtered or via API? This free file is a snapshot (FY2025 federal spending by county), last updated 2026-09-25.
- Coffermap FY2025 federal spending workbook ($15): every US county and state in one Excel file with top agencies, contractors and industries.
- Get an email when this dataset updates: free, double opt-in, unsubscribe any time.
Federal obligations by place of performance for fiscal year 2025 (2024-10-01 to 2025-09-30): $744.0B in contracts and $1.23T in grants across 56 states and territories and 3,229 counties. Top state for contract dollars: Virginia; top county: Fairfax County, VA. Built 2026-09-25 01:49 UTC from the public USAspending.gov API.
Free pages (every state has its own page with a county table, top agencies, contractors and industries, and a live per-county contractor lookup): https://cybermax-tools-cybermax.static.hf.space/fedflow/index.html
Configs
| Config | One row per | Key columns |
|---|---|---|
counties (default) |
county (FIPS) | fips, state, county, population, contracts_usd, grants_usd, contracts_per_capita, grants_per_capita |
states |
state / territory | same + contracts_rank, counties_with_awards |
state_top_agencies |
state × top 10 awarding agencies (contracts) | agency, agency_code, amount_usd |
state_top_contractors |
state × top 10 contract recipients | contractor, uei, amount_usd, usaspending_url |
state_top_industries |
state × top 10 NAICS codes (contracts) | naics, industry, amount_usd |
Contracts = award types A–D (definitive contracts, purchase orders, delivery orders, BPA calls). Grants = types 02–05 (block, formula and project grants, cooperative agreements). Amounts are obligations in the fiscal year and can be negative after de-obligations. Population is USAspending's figure for each area.
Quick start
from datasets import load_dataset
c = load_dataset("CyberMax-tools/coffermap-federal-spending-by-county", "counties", split="train").to_pandas()
print(c.sort_values("contracts_per_capita", ascending=False).head(10)[["county", "state", "contracts_usd"]])
Limits
- Place of performance is where the work is done, not where a contractor is based; some awards carry only a state.
- Department of Defense contract data is published with a 90-day delay, so recent months grow after publication.
- DUNS numbers (D&B-derived) are not included; recipients carry name, UEI and their USAspending profile link.
- Information only. Coffermap is an independent dataset by CyberMax, not a government product.
Source and licence
USAspending.gov API v2 (spending_by_geography, spending_by_category). U.S. Government work, no copyright in the U.S. Compiled by CyberMax.
Quickstart notebook
Load this dataset with pandas and see real outputs in the quickstart notebook.
Browse it on the web
Free, no sign-up: one page per state and county: https://data.cybermax-tools.workers.dev/spending/ (JSON: /api/county/<fips>.json). AI agents can query it through the remote MCP server https://data.cybermax-tools.workers.dev/mcp (no key).
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