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Industry · Utilities

Electric Power Generation, Transmission and Distribution

NAICS 2211 · 126,101 matched workers · high confidence

Roughly balanced
50.3% Democratic, 49.7% Republican

Two-party shares across 126,101 workers in the Electric Power Generation, Transmission and Distribution industry.

50.3%
49.7%
DemocraticRepublican
Imputed
50.5% D · 49.5% R
Includes lean for unaffiliated registrants
Hierarchy
Utilities › Electric Power Generation, Transmission and Distribution
NAICS2 22 · NAICS4 2211
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Where Electric Power Generation, Transmission and Distribution falls

Near the middle of industries in Utilities (53th percentile).

← DemocraticRepublican →Electric Power Distribution — 50% DemocraticFossil Fuel Electric Power Generation — 45% DemocraticOther Electric Power Generation — 50% 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% DemocraticElectric Power Generation, Transmission and Distribution — 50% Democratic0%25%50%75%100%
Each dot is one of the 14 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

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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