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Tom McClintock

Analysis

R CA-5 · House

2025–Present House Of Representatives (District 5)

2023–2025 House Of Representatives (District 5)

2021–2023 House Of Representatives (District 4)

2019–2021 House Of Representatives (District 4)

2017–2019 House Of Representatives (District 4)

2015–2017 House Of Representatives (District 4)

2013–2015 House Of Representatives (District 4)

2011–2013 House Of Representatives (District 4)

2009–2011 House Of Representatives (District 4)

Defense

+133

Helped 1295 Hurt 1162 Unclear 1098

Finance

+88

Helped 645 Hurt 557 Mixed 4 Unclear 315

Healthcare

+203

Helped 479 Hurt 276 Unclear 383

Energy

-36

Helped 332 Hurt 368 Mixed 3 Unclear 203

Education

Helped 331 Hurt 325 Unclear 194

Agriculture

+184

Helped 370 Hurt 186 Unclear 165

Veterans Affairs

+241

Helped 393 Hurt 152 Unclear 87

Immigration

-283

Helped 122 Hurt 405 Mixed 5 Unclear 91

Environment

-64

Helped 173 Hurt 237 Unclear 177

Criminal Justice

+22

Helped 271 Hurt 249 Mixed 4 Unclear 59

Transportation

-35

Helped 173 Hurt 208 Unclear 141

Government Operations

-15

Helped 66 Hurt 81 Unclear 318

Trade

+50

Helped 192 Hurt 142 Mixed 2 Unclear 35

Military Procurement

+17

Helped 142 Hurt 125 Unclear 101

Technology

+58

Helped 173 Hurt 115 Unclear 44

Federal Budget

+157

Helped 211 Hurt 54 Unclear 36

Housing

+108

Helped 188 Hurt 80 Unclear 32

Civil Rights

+23

Helped 139 Hurt 116 Unclear 26

Appropriations

+45

Helped 133 Hurt 88 Unclear 14

Labor

-9

Helped 70 Hurt 79 Unclear 77

20 policy domains

Helped Hurt Mixed Unclear

Industry Impact Profile

17625 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 2342 P·20 C·72 Y·2207 N·1785 w:11.6

Direct (1840), Defense (128), Veterans Affairs (114), DoD (32), State (19), VA (19), Executive (16), USDA (16), Legislative (14), Legislative Branch (14), Agriculture (11), Congress (11), Treasury (11), Coast Guard (9), NPS (7), CMS (6), Justice (6), Oversight (6), DOJ (4), Education (4), Foreign Affairs (4), ICE (4), Judiciary (4), Local (3), Transportation (3), Army Corps (2), Cemeteries (2), DHS (2), FDA (2), FEMA (2), Housing (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), HHS (1), IBWC (1), Intelligence (1), Judicial (1), Manufacturing (1), Municipal (1), National Security (1)

General Public 697 P·12 C·73 Y·571 N·412 w:8.3

Direct (554), Veterans (121), Military Families (17), Military (3), Foreign (2)

Military 409 C·4 Y·405 N·363 w:1.3

Direct (406), Air Force (2), Families (1)

Defense 381 C·5 Y·376 N·343 w:1.1

Direct (368), 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 308 C·1 Y·224 N·288 w:0.6

Direct (287), Research (15), Community (3), Tribal (3)

Education 293 C·74 Y·207 N·174 w:3.6

Direct (284), Child Care (3), Maritime Training (2), Immigrant Students (1), Religious Studies (1), Research Universities (1), Technical (1)

Cryptocurrency 217 C·8 Y·209 w:0.5

Financial Services 217 P·1 C·14 Y·199 N·96 w:4.1

Direct (210), HSA (7)

Transportation 191 C·11 Y·176 N·83 w:1.4

Direct (189), Labor (2)

Construction 187 C·1 Y·186 N·170 w:1.2

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

Negative-Effect Industries

Government 2507 P·99 C·368 Y·2001 N·1138 w:44.7

Direct (2146), Defense (101), Veterans Affairs (66), EPA (30), Coast Guard (27), NPS (11), FDA (9), Education (8), Agriculture (7), BLM (7), Forest Service (7), SEC (7), HHS (6), Foreign (5), CFPB (4), Federal Child Welfare (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), Immigration Enforcement (2), Law Enforcement (2), Military (2), DOE (1), DoD (1), Energy Department (1), Energy/Defense (1), Environmental Regulation (1), Federal (1), Federal Immigration (1), Federal Law Enforcement (1), Foreign Affairs (1), Immigration Services (1), Intelligence (1), Interior Department (1), Judicial Administration (1), NNSA (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 272 P·11 C·29 Y·236 N·157 w:5.2

Direct (245), 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 240 C·5 Y·235 N·212 w:1.2

Direct (236), Nuclear (2), Logistics (1), Maintenance (1)

Education 217 C·55 Y·162 N·88 w:3.4

Immigration 210 P·14 C·53 Y·143 N·134 w:3.7

Direct (203), Unaccompanied Minors (4), Undocumented (3)

Transportation 162 P·2 C·8 Y·152 N·70 w:3.0

Direct (154), Foreign (2), Technology (2), Tourism (2), Moving (1), Research Vessels (1)

Environment 148 P·7 C·56 Y·85 N·60 w:8.8

Direct (146), Water Quality (1), Wetlands (1)

Healthcare 146 Y·137 N·117 w:0.6

Direct (142), Family Planning Services (2), Public Health (2)

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 (75 sub) Sub-categories (total impacts, all buckets): Defense (229), Veterans Affairs (180), Coast Guard (36), DoD (33), EPA (31) +70 more			+302
General Public (8 sub) Sub-categories (total impacts, all buckets): Veterans (141), Military Families (17), Family Sponsors (4), Military (3), Foreign (2) +3 more			+293
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			+123
Healthcare (5 sub) Sub-categories (total impacts, all buckets): Research (15), Community (3), Tribal (3), Family Planning Services (2), Public Health (2)			+9
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		-	+29
Cryptocurrency	-	-	+71
Transportation (6 sub) Sub-categories (total impacts, all buckets): Foreign (2), Labor (2), Technology (2), Tourism (2), Moving (1) +1 more		-	+12
Financial Services (1 sub) Sub-categories (total impacts, all buckets): HSA (7)			+36
State & Local Government (2 sub) Sub-categories (total impacts, all buckets): Medicaid (6), Non-Expansion (3)			+16
Construction (4 sub) Sub-categories (total impacts, all buckets): Federal Projects (1), Federal/Military (1), Military/Pacific (1), Utilities/Infrastructure (1)		-	+123
Manufacturing (4 sub) Sub-categories (total impacts, all buckets): Foreign (8), Electrical Equipment (2), Defense (1), Foreign Adversary (1)			+20
Taxpayers	-	-	+15
Agriculture (6 sub) Sub-categories (total impacts, all buckets): Coffee (2), Commodities (2), Hemp (2), Livestock (2), Coffee Production (1) +1 more			+139
Law Enforcement			+20

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

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