Back to Legislators

Ed Case

Analysis

D HI-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)

2005–2007 House Of Representatives (District 2)

2003–2005 House Of Representatives (District 2)

2002–2003 House Of Representatives (District 2)

Defense

+150

Helped 1333 Hurt 1183 Mixed 1 Unclear 893

Finance

-26

Helped 767 Hurt 793 Mixed 4 Unclear 364

Healthcare

+307

Helped 677 Hurt 370 Unclear 497

Energy

-46

Helped 347 Hurt 393 Mixed 3 Unclear 261

Education

+55

Helped 408 Hurt 353 Unclear 237

Agriculture

+169

Helped 388 Hurt 219 Unclear 155

Environment

-42

Helped 126 Hurt 168 Unclear 454

Government Operations

-23

Helped 54 Hurt 77 Unclear 614

Veterans Affairs

+273

Helped 436 Hurt 163 Unclear 112

Transportation

-37

Helped 242 Hurt 279 Unclear 157

Trade

Helped 285 Hurt 284 Mixed 2 Unclear 63

Criminal Justice

-45

Helped 249 Hurt 294 Mixed 4 Unclear 71

Labor

+74

Helped 213 Hurt 139 Unclear 164

Immigration

-172

Helped 90 Hurt 262 Mixed 4 Unclear 57

Foreign Policy

+39

Helped 186 Hurt 147 Unclear 49

Military Procurement

+17

Helped 142 Hurt 125 Unclear 101

Technology

+82

Helped 203 Hurt 121 Unclear 39

Housing

+134

Helped 220 Hurt 86 Unclear 35

Federal Budget

+162

Helped 209 Hurt 47 Unclear 36

Foreign Affairs

-51

Helped 79 Hurt 130 Unclear 37

20 policy domains

Helped Hurt Mixed Unclear

Industry Impact Profile

20878 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 2481 P·8 C·227 Y·2188 N·1502 w:21.3

Direct (1959), Defense (128), Veterans Affairs (114), DoD (32), Legislative Branch (20), State (19), VA (19), Executive (18), USDA (16), Legislative (14), Agriculture (11), Congress (11), Treasury (11), Coast Guard (10), NPS (7), CMS (6), Justice (6), Oversight (6), DOJ (4), Education (4), Foreign Affairs (4), ICE (4), Judiciary (4), Research (4), Fisheries Management (3), 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), Science Agencies (1)

General Public 722 P·2 C·107 Y·524 N·444 w:13.2

Direct (577), Veterans (121), Military Families (18), Military (3), Foreign (2), Ethnic Communities (1)

Military 432 C·27 Y·405 N·248 w:3.2

Direct (429), Air Force (2), Families (1)

Defense 410 P·1 C·32 Y·377 N·242 w:4.1

Direct (397), 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 386 P·2 C·85 Y·307 N·197 w:7.4

Direct (361), Research (15), Patients (4), Community (3), Tribal (3)

Education 371 P·7 C·145 Y·212 N·150 w:13.0

Direct (362), Child Care (3), Maritime Training (2), Immigrant Students (1), Religious Studies (1), Research Universities (1), Technical (1)

Financial Services 264 P·2 C·60 Y·107 N·186 w:6.1

Direct (257), HSA (7)

Transportation 247 P·15 C·52 Y·177 N·57 w:11.0

Direct (245), Labor (2)

State & Local Government 224 P·4 C·81 Y·136 N·70 w:8.0

Direct (218), Medicaid (6)

Cryptocurrency 209 N·209 w:-0.2

Negative-Effect Industries

Government 3368 P·82 C·1239 Y·1685 N·1281 w:86.2

Direct (2943), Defense (101), Veterans Affairs (69), Regulatory (43), EPA (30), Coast Guard (27), Executive (15), NPS (11), FDA (9), Education (8), Agriculture (7), BLM (7), Forest Service (7), SEC (7), HHS (6), Foreign (5), NOAA (5), CFPB (4), Federal Child Welfare (4), State Department (4), Treasury/IRS (4), VA (4), Legislative (3), Legislative Branch (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), Executive Branch (1), Federal (1), Federal Immigration (1), Federal Law Enforcement (1), Fisheries Management (1), Intelligence (1), Interior Department (1), NNSA (1), Property Management (1), Science Agencies (1), Space Force (1), State (1), Strategic Command (1), Treasury (1), U.S. Coast Guard (1), USAID (1), USDA (1), Waste Management (1)

Financial Services 274 P·1 C·158 Y·85 N·85 w:8.8

Defense 264 C·29 Y·220 N·139 w:2.5

Direct (260), Nuclear (2), Logistics (1), Maintenance (1)

Military 251 C·7 Y·244 N·145 w:0.7

Direct (247), Intercontinental Ballistic Missile Systems (3), Space Force (1)

General Public 247 C·10 Y·189 N·187 w:2.2

Direct (220), Veterans (20), Family Sponsors (4), Environmental Health (1), Environmental Justice (1), Water Quality (1)

Taxpayers 219 P·7 C·127 Y·85 N·85 w:17.6

Transportation 217 P·17 C·48 Y·148 N·44 w:10.3

Direct (209), Foreign (2), Technology (2), Tourism (2), Moving (1), Research Vessels (1)

Education 200 P·2 C·36 Y·147 N·100 w:7.1

Healthcare 186 C·48 Y·128 N·121 w:2.2

Direct (182), Family Planning Services (2), Public Health (2)

Immigration 157 C·14 Y·143 N·134 w:0.6

Direct (150), Unaccompanied Minors (4), Undocumented (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	S+	S-	Net
Government (75 sub) Sub-categories (total impacts, all buckets): Defense (229), Veterans Affairs (183), Coast Guard (36), DoD (33), EPA (31) +70 more			-294
General Public (8 sub) Sub-categories (total impacts, all buckets): Veterans (141), Military Families (17), Family Sponsors (4), Military (3), Foreign (2) +3 more			-148
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)			+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			-43
Cryptocurrency	-	-	-71
Transportation (6 sub) Sub-categories (total impacts, all buckets): Foreign (2), Labor (2), Technology (2), Tourism (2), Moving (1) +1 more			+2
Financial Services (1 sub) Sub-categories (total impacts, all buckets): HSA (7)			-115
State & Local Government (2 sub) Sub-categories (total impacts, all buckets): Medicaid (6), Non-Expansion (3)			+30
Construction (4 sub) Sub-categories (total impacts, all buckets): Federal Projects (1), Federal/Military (1), Military/Pacific (1), Utilities/Infrastructure (1)			-69
Manufacturing (4 sub) Sub-categories (total impacts, all buckets): Foreign (8), Electrical Equipment (2), Defense (1), Foreign Adversary (1)			-6
Taxpayers	-	-	-15
Agriculture (6 sub) Sub-categories (total impacts, all buckets): Coffee (2), Commodities (2), Hemp (2), Livestock (2), Coffee Production (1) +1 more		-	-133
Law Enforcement			-44

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

Loading votes...