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Steve Womack

Analysis

R AR-3 · House

2025–Present House Of Representatives (District 3)

2023–2025 House Of Representatives (District 3)

2021–2023 House Of Representatives (District 3)

2019–2021 House Of Representatives (District 3)

2017–2019 House Of Representatives (District 3)

2015–2017 House Of Representatives (District 3)

2013–2015 House Of Representatives (District 3)

2011–2013 House Of Representatives (District 3)

Defense

+142

Helped 1264 Hurt 1122 Unclear 738

Finance

+95

Helped 646 Hurt 551 Mixed 8 Unclear 302

Healthcare

+245

Helped 594 Hurt 349 Unclear 235

Energy

-46

Helped 282 Hurt 328 Unclear 130

Veterans Affairs

+258

Helped 418 Hurt 160 Unclear 92

Education

Helped 253 Hurt 245 Unclear 107

Agriculture

+167

Helped 326 Hurt 159 Unclear 106

Transportation

-17

Helped 241 Hurt 258 Unclear 85

Criminal Justice

-33

Helped 214 Hurt 247 Mixed 4 Unclear 48

Trade

+73

Helped 225 Hurt 152 Mixed 2 Unclear 45

Military Procurement

+17

Helped 142 Hurt 125 Unclear 101

Immigration

-180

Helped 50 Hurt 230 Mixed 4 Unclear 38

Housing

+124

Helped 204 Hurt 80 Unclear 34

Technology

+56

Helped 165 Hurt 109 Unclear 28

Federal Budget

+162

Helped 209 Hurt 47 Unclear 36

Environment

-71

Helped 69 Hurt 140 Unclear 60

Appropriations

+46

Helped 134 Hurt 88 Unclear 14

Government Operations

Helped 74 Hurt 73 Unclear 80

Labor

-39

Helped 66 Hurt 105 Unclear 50

Government

-66

Helped 0 Hurt 66 Unclear 132

20 policy domains

Helped Hurt Mixed Unclear

Industry Impact Profile

16689 industry impacts

All entities →

How this is computed

P Primary sponsor · C Co-sponsor · Y Yea vote · N Nay vote

Weighted score (w:) uses strongest role per bill. Weights: Primary 1.0, Co-sponsor 0.3, Yea 0.1, Nay -0.1.

Bills where the legislator voted nay (without sponsorship) contribute -0.1 per bill. Equal yea and nay roll calls on the same bill contribute 0.

Vote date filters affect vote attribution; sponsorship is always included.

Positive-Effect Industries

Government 2351 P·29 C·90 Y·2239 N·1776 w:8.1

Direct (1823), Defense (128), Veterans Affairs (114), DoD (32), Legislative Branch (19), VA (19), State (18), Executive (16), USDA (16), Legislative (13), Treasury (13), Agriculture (11), Congress (11), Coast Guard (9), NPS (7), Transportation (7), CMS (6), Justice (6), Oversight (6), DOJ (4), Education (4), Foreign Affairs (4), HUD (4), ICE (4), Judiciary (4), Research (4), Housing (3), Local (3), Medicare (3), Army Corps (2), Aviation (2), Cemeteries (2), DHS (2), DOT (2), FDA (2), FEMA (2), Interior/USDA (2), International Development (2), Military Logistics (2), NASA (2), NOAA (2), SBA (2), SSA (2), Defense R&D (1), EPA (1), Federal Executive (1), Federal Law Enforcement (1), General (1), HHS (1), IBWC (1), Intelligence (1), Judicial (1), Manufacturing (1), Municipal (1), National Security (1)

General Public 659 P·3 C·62 Y·598 N·396 w:6.3

Direct (516), Veterans (121), Military Families (17), Military (3), Foreign (2)

Military 408 C·3 Y·405 N·363 w:0.7

Direct (405), Air Force (2), Families (1)

Defense 378 P·1 C·3 Y·374 N·343 w:1.8

Direct (365), Naval (2), Testing (2), Ammunition (1), Ground Vehicles (1), Missiles (1), Missiles/Hypersonics (1), Nuclear C3 (1), Rotorcraft (1), Small Business (1), Small/Innovative (1), Space Systems (1)

Healthcare 360 P·11 C·42 Y·307 N·285 w:4.3

Direct (339), Research (15), Community (3), Tribal (3)

Education 233 C·14 Y·219 N·174 w:2.9

Direct (224), Child Care (3), Maritime Training (2), Immigrant Students (1), Religious Studies (1), Research Universities (1), Technical (1)

Transportation 230 P·17 C·33 Y·180 N·83 w:3.4

Direct (228), Labor (2)

Cryptocurrency 217 C·8 Y·209 w:0.5

Financial Services 213 P·1 C·28 Y·199 N·93 w:3.8

Direct (206), HSA (7)

Agriculture 189 P·1 C·20 Y·168 N·162 w:2.8

Direct (181), Coffee (2), Commodities (2), Hemp (2), Livestock (2)

Negative-Effect Industries

Government 2361 P·37 C·325 Y·2024 N·1111 w:34.5

Direct (1941), Defense (101), Veterans Affairs (73), Regulatory (43), EPA (30), Coast Guard (27), NPS (11), FDA (9), Education (8), Agriculture (7), BLM (7), Forest Service (7), SEC (7), HHS (6), Aviation (5), Foreign (5), Transportation (5), CFPB (4), Federal Child Welfare (4), HUD (4), Treasury/IRS (4), VA (4), Executive (3), Legislative (3), Legislative Branch (3), NOAA (3), NOAA/EPA (3), Natural Resources (3), Acquisition (2), Congress (2), Defense Acquisition (2), Foreign Diplomatic (2), Military (2), DOE (1), DOJ (1), Department Of Transportation (1), DoD (1), Energy Department (1), Energy/Defense (1), Environmental Regulation (1), Federal (1), Federal Immigration (1), Federal Law Enforcement (1), Intelligence (1), NNSA (1), Research (1), Science Agencies (1), Space Force (1), State (1), Strategic Command (1), Treasury (1), U.S. Coast Guard (1), USDA (1), Waste Management (1)

General Public 245 C·24 Y·225 N·156 w:3.1

Direct (218), Veterans (20), Family Sponsors (4), Environmental Health (1), Environmental Justice (1), Water Quality (1)

Military 244 Y·244 N·224 w:0.3

Direct (240), Intercontinental Ballistic Missile Systems (3), Space Force (1)

Defense 236 C·1 Y·235 N·212 w:0.6

Direct (232), Nuclear (2), Logistics (1), Maintenance (1)

Transportation 188 P·15 C·24 Y·149 N·70 w:2.9

Direct (180), Foreign (2), Technology (2), Tourism (2), Moving (1), Research Vessels (1)

Healthcare 184 P·7 C·31 Y·146 N·117 w:2.9

Direct (180), Family Planning Services (2), Public Health (2)

Education 165 C·3 Y·162 N·88 w:1.9

Financial Services 146 C·37 Y·115 N·56 w:4.4

Immigration 143 Y·143 N·134 w:0.2

Direct (136), Unaccompanied Minors (4), Undocumented (3)

Cryptocurrency 138 Y·138 w:0.2

Click any row to see supporting clauses

Showing positive and negative-direction effects only. Mixed and uncertain effects are not included in these counts.

Votes by Industry (Yea/Nay Alignment)

How this legislator's Yea/Nay votes landed across industries; distinct from overall bill exposure above.

Analysis coverage

100.0% of votes

Show vote-alignment table

S+ Supported Benefits

S- Supported Burdens

O+ Opposed Benefits

O- Opposed Burdens

Industry	O+	O-	Net
Government (73 sub) Sub-categories (total impacts, all buckets): Defense (229), Veterans Affairs (183), Coast Guard (36), DoD (33), EPA (31) +68 more			+335
General Public (8 sub) Sub-categories (total impacts, all buckets): Veterans (141), Military Families (17), Family Sponsors (4), Military (3), Foreign (2) +3 more			+371
Military (4 sub) Sub-categories (total impacts, all buckets): Intercontinental Ballistic Missile Systems (3), Air Force (2), Families (1), Space Force (1)	-		+167
Defense (14 sub) Sub-categories (total impacts, all buckets): Naval (2), Nuclear (2), Testing (2), Ammunition (1), Ground Vehicles (1) +9 more			+121
Healthcare (5 sub) Sub-categories (total impacts, all buckets): Research (15), Community (3), Tribal (3), Family Planning Services (2), Public Health (2)		-	+157
Education (6 sub) Sub-categories (total impacts, all buckets): Child Care (3), Maritime Training (2), Immigrant Students (1), Religious Studies (1), Research Universities (1) +1 more		-	+51
Cryptocurrency	-	-	+71
Transportation (6 sub) Sub-categories (total impacts, all buckets): Foreign (2), Labor (2), Technology (2), Tourism (2), Moving (1) +1 more		-	+23
Financial Services (1 sub) Sub-categories (total impacts, all buckets): HSA (7)			+38
State & Local Government (2 sub) Sub-categories (total impacts, all buckets): Medicaid (6), Non-Expansion (3)		-	+24
Construction (4 sub) Sub-categories (total impacts, all buckets): Federal Projects (1), Federal/Military (1), Military/Pacific (1), Utilities/Infrastructure (1)			+121
Manufacturing (4 sub) Sub-categories (total impacts, all buckets): Foreign (8), Electrical Equipment (2), Defense (1), Foreign Adversary (1)			+18
Taxpayers	-	-	+15
Agriculture (6 sub) Sub-categories (total impacts, all buckets): Coffee (2), Commodities (2), Hemp (2), Livestock (2), Coffee Production (1) +1 more			+141
Technology (10 sub) Sub-categories (total impacts, all buckets): Foreign (8), Cybersecurity (2), AI/Defense (1), Cloud Services (1), Commercial/Defense (1) +5 more			+47

Votes are cast on entire bills; attribution to individual clauses does not imply clause-level intent. Learn more

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