docs/us_economy/economy_unemployment_county_year

economy_unemployment_county_year

LAUS annual county unemployment: labor force, employed, unemployed, rate (C2). Tier C (modeled). History 1990-present.

tier —regression_modeleconomyblslausunemploymentlabor_forcemodeled
grain
county-year
years
1990 – 2024
cadence
Monthly (preliminary); annual finalization each March
overview

overview

All 3,221 counties x 35 years. LAUS modeled monthly with annual averages.

current vintage — 2024 annual averages

history — LAUS: 1976 to present

provenance

source & licensing

authority
U.S. Bureau of Labor Statistics
dataset
Local Area Unemployment Statistics (LAUS)
license
citation
U.S. Bureau of Labor Statistics. Local Area Unemployment Statistics (LAUS), 1990-2024.
schema

fields

nametypedefinition
country_idstringISO alpha-2 country code (always 'US' for domestic tables).
county_idkeystring5-character FIPS code identifying the county.Joins dim.counties on county_id.
employedint64 · countNumber of civilians in the county who worked at least one hour for pay or profit, or 15 or more unpaid hours in a family business, during the reference period.
labor_forceint64 · countTotal number of civilians in the county who are either employed or unemployed; the sum of the employed and unemployed counts. Higher values indicate a larger working-age population participating in the economy.
state_idstring2-character FIPS code identifying the state.Joins dim.states on state_id.
unemployedint64 · countNumber of civilians in the county who are jobless, available for work, and actively seeking employment during the reference period.
unemployment_ratefloat64 · percent (0–100)Percentage of the civilian labor force that is unemployed, calculated as (unemployed / labor_force) × 100. Higher values indicate greater unemployment stress in the county.
yearkeyint64Reference year of the observation.
relationships

joins

primary key
county_id, year
common joins
dim.geographies on county_id
economy_employment_levels_county_year on (county_id, year)
usage

how to use this table

method

BLS uses signal-extraction model combining CPS state estimates, UI claims, CES employment, and ACS commuting flows to produce county labor force, employment, and unemployment.

do not use for

Single-month change in counties <50k labor force (model volatile); current-month tracking (subject to revision); structural unemployment vs cyclical decomposition.

known issues

Model-based - Tier C reliability. Annual revisions in March can shift recent years materially.

last updated · May 5, 2026