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Trent Kelly

Analysis

R MS-1 · House

2025–Present House Of Representatives (District 1)

2023–2025 House Of Representatives (District 1)

2021–2023 House Of Representatives (District 1)

2019–2021 House Of Representatives (District 1)

2017–2019 House Of Representatives (District 1)

2015–2017 House Of Representatives (District 1)

Defense

+149

Helped 1423 Hurt 1274 Unclear 1345

Finance

+100

Helped 656 Hurt 556 Mixed 4 Unclear 299

Transportation

+341

Helped 790 Hurt 449 Unclear 210

Healthcare

+214

Helped 519 Hurt 305 Unclear 324

Education

+130

Helped 442 Hurt 312 Unclear 214

Energy

-65

Helped 302 Hurt 367 Mixed 3 Unclear 175

Veterans Affairs

+260

Helped 415 Hurt 155 Unclear 96

Agriculture

+154

Helped 335 Hurt 181 Unclear 147

Trade

-47

Helped 217 Hurt 264 Mixed 2 Unclear 157

Aviation

-418

Helped 63 Hurt 481 Unclear 88

Criminal Justice

-44

Helped 231 Hurt 275 Mixed 4 Unclear 47

Maritime

-480

Helped 20 Hurt 500 Unclear 17

Military Procurement

+17

Helped 142 Hurt 125 Unclear 101

Government Operations

-10

Helped 39 Hurt 49 Unclear 264

Immigration

-182

Helped 50 Hurt 232 Mixed 4 Unclear 42

Technology

+59

Helped 174 Hurt 115 Unclear 32

Housing

+119

Helped 191 Hurt 72 Unclear 33

Federal Budget

+162

Helped 207 Hurt 45 Unclear 36

Environment

-73

Helped 68 Hurt 141 Unclear 67

Appropriations

+45

Helped 133 Hurt 88 Unclear 14

20 policy domains

Helped Hurt Mixed Unclear

Industry Impact Profile

19520 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 2287 P·7 C·34 Y·2247 N·1776 w:9.1

Direct (1783), Defense (128), Veterans Affairs (114), DoD (32), VA (19), State (18), Executive (16), USDA (16), Legislative (14), Legislative Branch (14), Treasury (13), Agriculture (11), Congress (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), NASA (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), 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)

Transportation 793 P·236 C·377 Y·180 N·83 w:3.1

Direct (791), Labor (2)

General Public 734 C·124 Y·613 N·396 w:5.8

Direct (591), Veterans (121), Military Families (17), Military (3), Foreign (2)

Military 415 C·10 Y·405 N·363 w:1.9

Direct (412), Air Force (2), Families (1)

Defense 409 P·7 C·25 Y·377 N·343 w:3.5

Direct (396), 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)

Education 402 P·124 C·59 Y·219 N·174 w:6.4

Direct (393), Child Care (3), Maritime Training (2), Immigrant Students (1), Religious Studies (1), Research Universities (1), Technical (1)

Healthcare 338 C·31 Y·307 N·285 w:3.0

Direct (317), Research (15), Community (3), Tribal (3)

Financial Services 234 C·47 Y·199 N·96 w:3.3

Direct (227), HSA (7)

Cryptocurrency 217 C·8 Y·209 w:0.5

Agriculture 196 P·2 C·26 Y·168 N·162 w:4.0

Direct (188), Coffee (2), Commodities (2), Hemp (2), Livestock (2)

Negative-Effect Industries

Government 3138 P·360 C·731 Y·2059 N·1117 w:37.8

Direct (2779), Defense (101), Veterans Affairs (69), 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), Law Enforcement (2), Military (2), DOE (1), DOJ (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), Science Agencies (1), Space Force (1), State (1), Strategic Command (1), Treasury (1), U.S. Coast Guard (1), USDA (1), Waste Management (1)

Defense 391 P·6 C·150 Y·235 N·212 w:1.9

Direct (387), Nuclear (2), Logistics (1), Maintenance (1)

Transportation 381 C·229 Y·152 N·70 w:2.0

Direct (373), Foreign (2), Technology (2), Tourism (2), Moving (1), Research Vessels (1)

General Public 248 C·11 Y·237 N·157 w:3.3

Direct (221), 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)

Education 211 P·1 C·48 Y·162 N·88 w:3.2

Healthcare 166 C·20 Y·146 N·117 w:1.6

Direct (162), Family Planning Services (2), Public Health (2)

Financial Services 146 C·37 Y·115 N·56 w:4.1

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 (74 sub) Sub-categories (total impacts, all buckets): Defense (229), Veterans Affairs (183), Coast Guard (36), DoD (33), EPA (31) +69 more			+287
General Public (8 sub) Sub-categories (total impacts, all buckets): Veterans (141), Military Families (17), Family Sponsors (4), Military (3), Foreign (2) +3 more			+376
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			+124
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		-	+53
Cryptocurrency	-	-	+71
Transportation (6 sub) Sub-categories (total impacts, all buckets): Foreign (2), Labor (2), Technology (2), Tourism (2), Moving (1) +1 more		-	+20
Financial Services (1 sub) Sub-categories (total impacts, all buckets): HSA (7)			+35
State & Local Government (2 sub) Sub-categories (total impacts, all buckets): Medicaid (6), Non-Expansion (3)	-		+44
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)			+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			+139
Law Enforcement	-	-	+42

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

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