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Industry · Utilities

Natural Gas Distribution

NAICS 2212 · 25,244 matched workers · high confidence

Roughly balanced
50.2% Democratic, 49.8% Republican

Two-party shares across 25,244 workers in the Natural Gas Distribution industry.

50.2%
49.8%
DemocraticRepublican
Imputed
50.5% D · 49.5% R
Includes lean for unaffiliated registrants
Hierarchy
Utilities › Natural Gas Distribution
NAICS2 22 · NAICS4 2212
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Where Natural Gas Distribution falls

Near the middle of industries in Utilities (40th 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% DemocraticNatural Gas 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

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