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Marc A. Veasey

Analysis

D TX-33 · House

2025–Present House Of Representatives (District 33)

2023–2025 House Of Representatives (District 33)

2021–2023 House Of Representatives (District 33)

2019–2021 House Of Representatives (District 33)

2017–2019 House Of Representatives (District 33)

2015–2017 House Of Representatives (District 33)

2013–2015 House Of Representatives (District 33)

Defense

+156

Helped 1334 Hurt 1178 Unclear 838

Healthcare

+387

Helped 828 Hurt 441 Unclear 661

Finance

+22

Helped 744 Hurt 722 Mixed 4 Unclear 347

Education

-3

Helped 368 Hurt 371 Unclear 208

Energy

-38

Helped 329 Hurt 367 Mixed 3 Unclear 197

Criminal Justice

-93

Helped 278 Hurt 371 Mixed 4 Unclear 49

Veterans Affairs

+278

Helped 430 Hurt 152 Unclear 108

Agriculture

+142

Helped 323 Hurt 181 Unclear 116

Trade

-24

Helped 259 Hurt 283 Mixed 2 Unclear 65

Transportation

-39

Helped 195 Hurt 234 Unclear 119

Labor

+51

Helped 205 Hurt 154 Unclear 171

Immigration

-161

Helped 127 Hurt 288 Mixed 4 Unclear 79

Environment

-77

Helped 108 Hurt 185 Unclear 176

Government Operations

-17

Helped 56 Hurt 73 Unclear 340

Technology

+48

Helped 207 Hurt 159 Unclear 58

Housing

+122

Helped 232 Hurt 110 Unclear 38

Military Procurement

+17

Helped 142 Hurt 125 Unclear 101

Civil Rights

+90

Helped 192 Hurt 102 Unclear 26

Federal Budget

+162

Helped 207 Hurt 45 Unclear 36

Elections

-31

Helped 103 Hurt 134 Mixed 2 Unclear 6

20 policy domains

Helped Hurt Mixed Unclear

Industry Impact Profile

21013 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 2389 P·5 C·138 Y·2225 N·1505 w:14.3

Direct (1873), Defense (128), Veterans Affairs (114), DoD (32), Legislative Branch (19), State (19), VA (19), Executive (16), USDA (16), Legislative (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), Research (4), Local (3), Medicare (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 780 C·167 Y·581 N·418 w:12.7

Direct (635), Veterans (121), Military Families (17), Military (3), Foreign (2), Black Maternal Health Beneficiaries (1), Religious Communities (1)

Healthcare 490 P·2 C·181 Y·307 N·277 w:13.4

Direct (463), Research (15), Community (3), Tribal (3), Mental Health (2), Hospitals (1), Patients (1), Perinatal Care (1), Reproductive Health (1)

Military 423 C·18 Y·405 N·248 w:1.7

Direct (420), Air Force (2), Families (1)

Defense 389 C·13 Y·377 N·242 w:2.1

Direct (376), 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 327 P·1 C·107 Y·213 N·161 w:10.6

Direct (317), Child Care (3), Maritime Training (2), Holocaust & Cultural Organizations (1), Immigrant Students (1), Religious Studies (1), Research Universities (1), Technical (1)

Financial Services 241 C·39 Y·184 N·109 w:4.3

Direct (234), HSA (7)

State & Local Government 222 C·83 Y·139 N·76 w:7.2

Direct (216), Medicaid (6)

Cryptocurrency 209 Y·209 w:0.2

Transportation 203 C·23 Y·178 N·60 w:3.5

Direct (201), Labor (2)

Negative-Effect Industries

Government 3345 P·9 C·1290 Y·1822 N·1166 w:73.4

Direct (2940), Defense (101), Veterans Affairs (69), Regulatory (43), EPA (30), Coast Guard (27), NPS (11), Education (9), FDA (9), 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), Interior Department (1), Museums & Cultural Institutions (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 253 C·18 Y·220 N·139 w:1.0

Direct (249), Nuclear (2), Logistics (1), Maintenance (1)

Taxpayers 249 P·2 C·162 Y·85 N·85 w:16.8

Military 248 C·4 Y·244 N·145 w:0.1

Direct (244), Intercontinental Ballistic Missile Systems (3), Space Force (1)

General Public 245 C·10 Y·198 N·184 w:2.6

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

Law Enforcement 219 C·155 Y·18 N·46 w:6.2

Healthcare 214 C·68 Y·128 N·130 w:4.0

Direct (210), Family Planning Services (2), Public Health (2)

Education 213 C·51 Y·123 N·124 w:5.9

Direct (212), K-12 (1)

Financial Services 198 C·84 Y·106 N·64 w:5.5

Transportation 183 C·31 Y·148 N·44 w:3.4

Direct (175), Foreign (2), Technology (2), Tourism (2), Moving (1), Research Vessels (1)

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	S+	S-	O+	O-	Net
Government (75 sub) Sub-categories (total impacts, all buckets): Defense (229), Veterans Affairs (183), Coast Guard (36), DoD (33), EPA (31) +70 more					-520
General Public (8 sub) Sub-categories (total impacts, all buckets): Veterans (141), Military Families (17), Family Sponsors (4), Military (3), Foreign (2) +3 more					-105
Military (4 sub) Sub-categories (total impacts, all buckets): Intercontinental Ballistic Missile Systems (3), Air Force (2), Families (1), Space Force (1)					-45
Defense (14 sub) Sub-categories (total impacts, all buckets): Naval (2), Nuclear (2), Testing (2), Ammunition (1), Ground Vehicles (1) +9 more					-64
Healthcare (5 sub) Sub-categories (total impacts, all buckets): Research (15), Community (3), Tribal (3), Family Planning Services (2), Public Health (2)					-133
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					-17
Cryptocurrency			-	-	+71
Transportation (6 sub) Sub-categories (total impacts, all buckets): Foreign (2), Labor (2), Technology (2), Tourism (2), Moving (1) +1 more					-4
Financial Services (1 sub) Sub-categories (total impacts, all buckets): HSA (7)					-3
State & Local Government (2 sub) Sub-categories (total impacts, all buckets): Medicaid (6), Non-Expansion (3)					+52
Construction (4 sub) Sub-categories (total impacts, all buckets): Federal Projects (1), Federal/Military (1), Military/Pacific (1), Utilities/Infrastructure (1)					-42
Manufacturing (4 sub) Sub-categories (total impacts, all buckets): Foreign (8), Electrical Equipment (2), Defense (1), Foreign Adversary (1)					+10
Taxpayers	-	-			-15
Agriculture (6 sub) Sub-categories (total impacts, all buckets): Coffee (2), Commodities (2), Hemp (2), Livestock (2), Coffee Production (1) +1 more					-119
Law Enforcement					-44

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

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