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Industry · Utilities

Other Electric Power Generation

NAICS 221118 · 26,677 matched workers · high confidence

Roughly balanced
50.2% Democratic, 49.8% Republican

Two-party shares across 26,677 workers in the Other Electric Power Generation industry.

50.2%
49.8%
DemocraticRepublican
Imputed
50.8% D · 49.2% R
Includes lean for unaffiliated registrants
Hierarchy
Utilities › Electric Power Generation, Transmission and Distribution
NAICS2 22 · NAICS4 2211
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Where Other Electric Power Generation falls

Near the middle of industries in Utilities (50th percentile).

← DemocraticRepublican →Electric Power Distribution — 50% DemocraticFossil Fuel Electric Power Generation — 45% DemocraticNatural Gas Distribution — 50% DemocraticElectric Bulk Power Transmission and Control — 56% DemocraticWater Supply and Irrigation Systems — 52% DemocraticSolar Electric Power Generation — 64% DemocraticHydroelectric Power Generation — 47% DemocraticWind Electric Power Generation — 50% DemocraticNuclear Electric Power Generation — 45% DemocraticGeothermal Electric Power Generation — 53% DemocraticSewage Treatment Facilities — 49% DemocraticSteam and Air-Conditioning Supply — 32% DemocraticBiomass Electric Power Generation — 65% DemocraticOther Electric Power Generation — 50% Democratic0%25%50%75%100%
Each dot is one of the 13 other industries in Utilities; size scales by workforce. Hover to see names — click to jump.

How this is measured

VRscores estimate the partisan composition of an industry by linking voter registration records to employment profiles, then aggregating workers up the NAICS hierarchy. The two-party shares above exclude workers with no major-party affiliation.

Read the full methodology or the published Organization Science paper.

Top employers in Utilities

Other industries in Utilities

Explore the full dataset

950+ industries, 970+ occupations, 534K+ employers — all with partisan composition.

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Citation

Kagan, Max; Frake, Justin; Hurst, Reuben (2026). “VRscores: A New Measure and Data Set of Workforce Politics Using Voter Registrations.” Organization Science, 37(2), 444–465.
https://doi.org/10.1287/orsc.2025.20402