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Shelley Moore Capito

Analysis

R WV · Senate

2025–Present Senate

2023–2025 Senate

2021–2023 Senate

2019–2021 Senate

2017–2019 Senate

2015–2017 Senate

2013–2015 House Of Representatives (District 2)

2011–2013 House Of Representatives (District 2)

2009–2011 House Of Representatives (District 2)

2007–2009 House Of Representatives (District 2)

2005–2007 House Of Representatives (District 2)

2003–2005 House Of Representatives (District 2)

2001–2003 House Of Representatives (District 2)

Defense

-81

Helped 783 Hurt 864 Unclear 604

Healthcare

+156

Helped 539 Hurt 383 Unclear 431

Government Operations

+15

Helped 136 Hurt 121 Unclear 831

Environment

-6

Helped 163 Hurt 169 Unclear 735

Energy

+45

Helped 361 Hurt 316 Unclear 194

Appropriations

Helped 420 Hurt 413 Unclear 17

Finance

-65

Helped 309 Hurt 374 Mixed 1 Unclear 158

Education

+88

Helped 282 Hurt 194 Unclear 226

Veterans Affairs

+207

Helped 359 Hurt 152 Unclear 90

Agriculture

+101

Helped 296 Hurt 195 Unclear 100

Trade

-22

Helped 177 Hurt 199 Unclear 46

Technology

-60

Helped 148 Hurt 208 Unclear 59

Transportation

-42

Helped 129 Hurt 171 Unclear 91

Foreign Policy

-37

Helped 138 Hurt 175 Mixed 1 Unclear 46

Housing

+130

Helped 228 Hurt 98 Unclear 14

Criminal Justice

+40

Helped 159 Hurt 119 Unclear 18

Federal Budget

+162

Helped 207 Hurt 45 Unclear 36

Immigration

-128

Helped 38 Hurt 166 Unclear 32

Labor

-29

Helped 55 Hurt 84 Unclear 57

Science & Space

+39

Helped 98 Hurt 59 Unclear 12

20 policy domains

Helped Hurt Mixed Unclear

Industry Impact Profile

13862 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 2091 P·228 C·171 Y·1696 N·1356 w:18.9

Direct (1657), Veterans Affairs (114), Defense (93), DoD (33), VA (19), Executive (16), USDA (16), Congress (14), Legislative (12), Treasury (12), Agriculture (11), CMS (9), NPS (7), State (7), Justice (6), Oversight (6), DOJ (4), Education (4), Foreign Affairs (4), ICE (4), Judiciary (4), DHS (3), Transportation (3), Cemeteries (2), FDA (2), FEMA (2), Housing (2), Interior/USDA (2), International Development (2), Legislative Branch (2), Local (2), Military Logistics (2), NASA (2), SBA (2), SSA (2), DOD (1), Defense R&D (1), Executive Branch (1), HHS (1), Health (1), Intelligence (1), Judicial (1), Manufacturing (1), State Department (1)

General Public 452 P·8 C·83 Y·363 N·347 w:12.3

Direct (310), Veterans (121), Military Families (16), Military (3), Foreign (2)

Education 294 P·83 C·71 Y·143 N·121 w:10.3

Direct (288), Child Care (3), Immigrant Students (1), Religious Studies (1), Technical (1)

Healthcare 286 P·1 C·86 Y·198 N·189 w:6.9

Direct (264), Research (15), Community (3), Tribal (3), Patients (1)

Defense 233 C·9 Y·224 N·108 w:0.9

Direct (220), 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)

Military 229 C·5 Y·224 N·109 w:0.4

Direct (228), Families (1)

State & Local Government 207 P·24 C·108 Y·75 N·65 w:7.2

Direct (199), Medicaid (6), Medicaid Programs (2)

Construction 187 P·2 C·28 Y·157 N·131 w:2.1

Direct (184), Federal/Military (1), Military/Pacific (1), Utilities/Infrastructure (1)

Agriculture 174 P·1 C·18 Y·155 N·151 w:4.5

Direct (166), Coffee (2), Commodities (2), Hemp (2), Livestock (2)

Financial Services 133 P·7 C·43 Y·82 N·73 w:6.9

Direct (124), HSA (7), HSA Administration (2)

Negative-Effect Industries

Government 1931 P·299 C·609 Y·1028 N·767 w:53.5

Direct (1640), Defense (67), Veterans Affairs (66), EPA (22), Education (11), HHS (11), NPS (11), FDA (9), Agriculture (7), BLM (7), Forest Service (7), Health (6), Foreign (5), CFPB (4), Treasury/IRS (4), VA (4), DHS (3), Executive (3), Legislative (3), NOAA (3), NOAA/EPA (3), SEC (3), Treasury (3), Acquisition (2), Congress (2), Defense Acquisition (2), Intelligence (2), Judicial Branch (2), Military (2), Regulatory (2), Coast Guard (1), DoD (1), Energy/Defense (1), Executive Branch (1), FDIC (1), Federal Reserve (1), Housing (1), Interior Department (1), NNSA (1), OCC (1), Space Force (1), Strategic Command (1), U.S. Coast Guard (1), USDA (1), Waste Management (1)

Defense 162 C·14 Y·148 N·54 w:0.8

Direct (158), Nuclear (2), Logistics (1), Maintenance (1)

Healthcare 158 P·2 C·46 Y·110 N·98 w:4.2

Direct (147), Gender-Affirming Care (3), Family Planning Services (2), Public Health (2), Reproductive Health (2), Safety Net Providers (2)

General Public 152 P·1 C·21 Y·130 N·119 w:3.7

Direct (131), Veterans (20), Taxpayers (1)

Military 145 C·10 Y·135 N·53 w:0.7

Direct (144), Space Force (1)

Financial Services 137 P·6 C·77 Y·54 N·50 w:8.2

Direct (136), Transgender Individuals (1)

Education 132 P·1 C·43 Y·89 N·85 w:7.4

Immigration 127 Y·127 N·127 w:-0.1

Taxpayers 110 P·18 C·7 Y·85 N·85 w:2.1

Environment 107 P·15 C·40 Y·52 N·51 w:9.3

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 (58 sub) Sub-categories (total impacts, all buckets): Veterans Affairs (180), Defense (158), DoD (34), VA (23), EPA (22) +53 more			+661
General Public (5 sub) Sub-categories (total impacts, all buckets): Veterans (141), Military Families (16), Military (3), Foreign (2), Taxpayers (1)	-		+234
Defense (14 sub) Sub-categories (total impacts, all buckets): Naval (2), Nuclear (2), Testing (2), Ammunition (1), Ground Vehicles (1) +9 more	-	-	+76
Military (2 sub) Sub-categories (total impacts, all buckets): Families (1), Space Force (1)	-	-	+89
Healthcare (8 sub) Sub-categories (total impacts, all buckets): Research (15), Community (3), Gender-Affirming Care (3), Tribal (3), Family Planning Services (2) +3 more		-	+87
Education (4 sub) Sub-categories (total impacts, all buckets): Child Care (3), Immigrant Students (1), Religious Studies (1), Technical (1)	-	-	+54
Construction (3 sub) Sub-categories (total impacts, all buckets): Federal/Military (1), Military/Pacific (1), Utilities/Infrastructure (1)	-	-	+121
Taxpayers	-	-	+18
Agriculture (5 sub) Sub-categories (total impacts, all buckets): Coffee (2), Commodities (2), Hemp (2), Livestock (2), Coffee Production (1)	-	-	+140
Manufacturing (4 sub) Sub-categories (total impacts, all buckets): Foreign (7), Electrical Equipment (2), Defense (1), Foreign Adversary (1)	-	-	+5
Transportation	-	-	+1
Immigration	-	-	-107
Financial Services (3 sub) Sub-categories (total impacts, all buckets): HSA (7), HSA Administration (2), Transgender Individuals (1)		-	+27
State & Local Government (3 sub) Sub-categories (total impacts, all buckets): Medicaid (6), Medicaid Programs (4), Non-Expansion (3)	-	-	+19
Energy (1 sub) Sub-categories (total impacts, all buckets): Distributed Generation (1)	-	-	+22

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

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