Skip to content

Industry · Transportation and Warehousing

Used Household and Office Goods Moving

NAICS 484210 · 2,936 matched workers · high confidence

Roughly balanced
49.8% Democratic, 50.2% Republican

Two-party shares across 2,936 workers in the Used Household and Office Goods Moving industry.

49.8%
50.2%
DemocraticRepublican
Imputed
49.8% D · 50.2% R
Includes lean for unaffiliated registrants
Hierarchy
Transportation and Warehousing › Specialized Freight Trucking
NAICS2 48 · NAICS4 4842
ShareXLinkedIn
Where Used Household and Office Goods Moving falls

More Republican than 62% of industries in Transportation and Warehousing.

← DemocraticRepublican →Scheduled Passenger Air Transportation — 54% DemocraticFreight Transportation Arrangement — 52% DemocraticGeneral Freight Trucking, Long-Distance, Truckload — 47% DemocraticLine-Haul Railroads — 49% DemocraticAll Other Transit and Ground Passenger Transportation — 69% DemocraticDeep Sea Freight Transportation — 56% DemocraticGeneral Freight Trucking, Local — 50% DemocraticPipeline Transportation of Natural Gas — 35% DemocraticPacking and Crating — 59% DemocraticOther Support Activities for Air Transportation — 43% DemocraticGeneral Freight Trucking, Long-Distance, Less Than Truckload — 48% DemocraticScheduled Freight Air Transportation — 55% DemocraticDeep Sea Passenger Transportation — 62% DemocraticOther Airport Operations — 58% DemocraticAll Other Support Activities for Transportation — 55% DemocraticSpecial Needs Transportation — 61% DemocraticSchool and Employee Bus Transportation — 60% DemocraticSpecialized Freight (except Used Goods) Trucking, Long-Distance — 50% DemocraticPipeline Transportation of Crude Oil — 38% DemocraticPort and Harbor Operations — 65% DemocraticMarine Cargo Handling — 43% DemocraticMotor Vehicle Towing — 60% DemocraticSupport Activities for Rail Transportation — 56% DemocraticPipeline Transportation of Refined Petroleum Products — 37% DemocraticBus and Other Motor Vehicle Transit Systems — 66% DemocraticOther Support Activities for Road Transportation — 52% DemocraticInterurban and Rural Bus Transportation — 81% DemocraticNonscheduled Chartered Passenger Air Transportation — 40% DemocraticAir Traffic Control — 48% DemocraticNonscheduled Chartered Freight Air Transportation — 46% DemocraticOther Nonscheduled Air Transportation — 37% DemocraticNavigational Services to Shipping — 43% DemocraticInland Water Freight Transportation — 43% DemocraticTaxi and Ridesharing Services — 61% DemocraticSpecialized Freight (except Used Goods) Trucking, Local — 36% DemocraticOther Support Activities for Water Transportation — 42% DemocraticAll Other Pipeline Transportation — 28% DemocraticInland Water Passenger Transportation — 62% DemocraticMixed Mode Transit Systems — 66% DemocraticCommuter Rail Systems — 75% DemocraticCharter Bus Industry — 59% DemocraticScenic and Sightseeing Transportation, Other — 62% DemocraticLimousine Service — 69% DemocraticShort Line Railroads — 61% DemocraticScenic and Sightseeing Transportation, Water — 80% DemocraticCoastal and Great Lakes Freight Transportation — 65% DemocraticOther Urban Transit Systems — 51% DemocraticUsed Household and Office Goods Moving — 50% Democratic0%25%50%75%100%
Each dot is one of the 47 other industries in Transportation and Warehousing; 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 Transportation and Warehousing

Other industries in Transportation and Warehousing

Explore the full dataset

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

Open the explorerAsk the AI

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