DOGE Cuts by State

Estimated impact of 29,327 federal contract and grant terminations across all 50 states and DC. Total claimed savings: $110.2B.

Estimates based on each state's proportional share of FY2025 federal contract and grant spending.

Total Claimed Savings

$110.2B

Total Terminations

29,327

Contract Terminations

13,440

$61.0B savings

Grant Terminations

15,887

$49.2B savings

Impact by State

51 states + DC

#	State	Est. Savings	Terminations	Per Capita	Share
1	Pennsylvania	$9.3B	2,236	$714	8.4%
2	Illinois	$9.3B	2,212	$724	8.4%
3	California	$7.3B	2,022	$185	6.6%
4	New Jersey	$6.6B	1,534	$707	6.0%
5	Virginia	$6.5B	1,550	$757	5.9%
6	New York	$5.8B	1,549	$290	5.3%
7	Texas	$5.2B	1,403	$179	4.7%
8	Florida	$4.2B	1,121	$197	3.8%
9	Michigan	$3.6B	971	$361	3.3%
10	North Carolina	$3.5B	910	$337	3.2%
11	Massachusetts	$3.2B	887	$453	2.9%
12	Georgia	$2.5B	678	$236	2.3%
13	Missouri	$2.5B	661	$403	2.3%
14	Ohio	$2.4B	689	$204	2.2%
15	Maryland	$2.3B	620	$376	2.1%
16	Washington	$2.3B	622	$295	2.1%
17	Wisconsin	$1.9B	528	$324	1.7%
18	Alabama	$1.7B	463	$339	1.6%
19	Mississippi	$1.7B	417	$564	1.5%
20	Colorado	$1.5B	435	$262	1.4%
21	Indiana	$1.5B	436	$214	1.3%
22	Arizona	$1.4B	403	$199	1.3%
23	Minnesota	$1.4B	407	$248	1.3%
24	Kentucky	$1.4B	371	$305	1.3%
25	Connecticut	$1.3B	379	$368	1.2%
26	Tennessee	$1.3B	383	$187	1.2%
27	Oklahoma	$1.3B	385	$323	1.2%
28	South Carolina	$1.2B	333	$239	1.1%
29	District Of Columbia	$1.1B	285	$1,581	1.0%
30	Louisiana	$1.1B	308	$228	1.0%
31	Oregon	$989.4M	300	$234	0.9%
32	Arkansas	$916.6M	254	$304	0.8%
33	Alaska	$833.1M	256	$1,136	0.8%
34	Iowa	$795.4M	234	$249	0.7%
35	Kansas	$785.6M	220	$267	0.7%
36	Nebraska	$714.9M	210	$364	0.7%
37	Hawaii	$686.5M	186	$472	0.6%
38	Utah	$686.5M	206	$210	0.6%
39	New Mexico	$682.2M	209	$322	0.6%
40	West Virginia	$675.0M	210	$376	0.6%
41	Idaho	$645.4M	190	$351	0.6%
42	Montana	$636.7M	194	$587	0.6%
43	Nevada	$625.4M	178	$201	0.6%
44	Maine	$599.8M	180	$440	0.5%
45	Vermont	$451.9M	139	$703	0.4%
46	Rhode Island	$435.4M	135	$397	0.4%
47	South Dakota	$432.6M	135	$488	0.4%
48	New Hampshire	$393.3M	122	$286	0.4%
49	North Dakota	$386.2M	121	$496	0.3%
50	Wyoming	$354.3M	108	$614	0.3%
51	Delaware	$300.5M	91	$304	0.3%

Highest Per-Capita Impact

States where DOGE cuts represent the largest amount per resident, reflecting concentration of federal spending relative to population.

District Of Columbia #1

$1,581

per capita

$1.1B total, 285 terminations

Alaska #2

$1,136

per capita

$833.1M total, 256 terminations

Virginia #3

$757

per capita

$6.5B total, 1,550 terminations

Illinois #4

$724

per capita

$9.3B total, 2,212 terminations

Pennsylvania #5

$714

per capita

$9.3B total, 2,236 terminations

New Jersey #6

$707

per capita

$6.6B total, 1,534 terminations

Methodology: DOGE.gov's savings API does not report which state each terminated contract or grant was based in. These estimates distribute total DOGE savings proportionally to each state's share of FY2025 federal contract and grant spending from USASpending.gov. States with larger federal procurement bases (e.g., defense contractors, research universities, medical centers) receive proportionally larger estimated cuts. Actual per-state impact may differ from these estimates.

Related Data

DOGE Overview

All 29,327 contract and grant terminations with agency breakdown.

View DOGE Tracker →

State Spending

FY2025 total federal spending by state, the baseline these DOGE cuts come from.

Browse States →

State Rankings

States ranked by total federal spending and per-capita spending in FY2025.

See Rankings →

Data Sources: DOGE.gov Savings API (api.doge.gov, 29,327 records) + USASpending.gov FY2025 state-level spending data.

Compiled by PlainSpending Editorial, Federal Spending Editorial Team

Every figure on PlainSpending is computed directly from USASpending.gov award-transaction data, no number is typed in by an editor. This page combines the DOGE.gov Savings API with USASpending.gov state-level totals, both live from their source APIs. See our editorial standards & corrections policy, the methodology behind these numbers, or report a data error.