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Industry · Educational Services

Professional and Management Development Training

NAICS 611430 · 16,658 matched workers · high confidence

Democratic lean
59.8% Democratic, 40.2% Republican

Two-party shares across 16,658 workers in the Professional and Management Development Training industry.

59.8%
40.2%
DemocraticRepublican
Imputed
59.5% D · 40.5% R
Includes lean for unaffiliated registrants
Hierarchy
Educational Services › Business Schools and Computer and Management Training
NAICS2 61 · NAICS4 6114
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Where Professional and Management Development Training falls

More Republican than 71% of industries in Educational Services.

← DemocraticRepublican →Colleges, Universities, and Professional Schools — 69% DemocraticElementary and Secondary Schools — 65% DemocraticEducational Support Services — 67% DemocraticJunior Colleges — 63% DemocraticExam Preparation and Tutoring — 68% DemocraticAll Other Miscellaneous Schools and Instruction — 69% DemocraticBusiness and Secretarial Schools — 60% DemocraticFlight Training — 39% DemocraticOther Technical and Trade Schools — 57% DemocraticSports and Recreation Instruction — 52% DemocraticLanguage Schools — 68% DemocraticComputer Training — 65% DemocraticFine Arts Schools — 74% DemocraticCosmetology and Barber Schools — 66% DemocraticAutomobile Driving Schools — 57% DemocraticApprenticeship Training — 34% DemocraticProfessional and Management Development Training — 60% Democratic0%25%50%75%100%
Each dot is one of the 16 other industries in Educational Services; 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 Educational Services

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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