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Occupation · Building and Grounds Cleaning and Maintenance Occupations

Tree Trimmers and Pruners

SOC 37-3013.00 · 2,167 matched workers · high confidence

Roughly balanced
53.5% Democratic, 46.5% Republican

Two-party shares across 2,167 workers in this occupation matched to voter registration records.

53.5%
46.5%
DemocraticRepublican
Imputed
53.9% D · 46.1% R
Includes lean for unaffiliated registrants
Major group
Building and Grounds Cleaning and Maintenance Occupations
SOC major code 37-0000
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Where Tree Trimmers and Pruners falls

Near the middle of occupations in Building and Grounds Cleaning and Maintenance Occupations (40th percentile).

← DemocraticRepublican →Janitors and Cleaners, Except Maids and Housekeeping Cleaners — 62% DemocraticMaids and Housekeeping Cleaners — 71% DemocraticFirst-Line Supervisors of Landscaping, Lawn Service, and Groundskeeping Workers — 49% DemocraticBuilding Cleaning Workers, All Other — 64% DemocraticFirst-Line Supervisors of Housekeeping and Janitorial Workers — 68% DemocraticGrounds Maintenance Workers, All Other — 46% DemocraticLandscaping and Groundskeeping Workers — 55% DemocraticPest Control Workers — 47% DemocraticPesticide Handlers, Sprayers, and Applicators, Vegetation — 48% DemocraticTree Trimmers and Pruners — 54% Democratic0%25%50%75%100%
Each dot is one of the 9 other occupations in Building and Grounds Cleaning and Maintenance Occupations; size scales by worker count. Hover to see names — click to jump.

How this is measured

VRscores estimate the partisan composition of an occupation by linking voter registration records to employment profiles. Each worker is assigned to one occupation per year. The two-party shares above exclude workers with no major-party affiliation.

Read the full methodology or the published Organization Science paper.

Other occupations in Building and Grounds Cleaning and Maintenance Occupations

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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