housing_tenure_county_year
County-year grain. Owner vs. renter occupied units and homeownership rate. Stub — pending acs_county_tenure_2024 raw load (ACS B25003).
tier —sample_estimate
overview
overview
All 3,222 counties (planned). STUB - pending acs_county_tenure_2024 load.
current vintage — 2020-2024 ACS 5-Year (planned)
history — ACS B25003: 2009-present
provenance
source & licensing
authority
U.S. Census Bureau
dataset
American Community Survey 5-Year Estimates
source url
license
—
citation
U.S. Census Bureau. ACS 5-Year Estimates, Table B25003 (tenure), 2020-2024.
schema
fields
| name | type | definition |
|---|---|---|
| _ingested_at | timestamp | Timestamp when this record was written to BigQuery.Pipeline metadata field. |
| _ingestor_version | string | Version of the ingestor script that produced this record.Pipeline metadata field. |
| _reliability_tier | string | Data quality tier (A/B/C) assigned at ingestion.Pipeline metadata field. |
| _source_dataset_id | string | Internal dataset identifier linking to meta.datasets.Pipeline metadata field. |
| country_id | string | ISO alpha-2 country code (always 'US' for domestic tables). |
| county_idkey | string | 5-character FIPS code identifying the county.Joins dim.counties on county_id. |
| county_name | string | Human-readable county name corresponding to county_id. |
| homeownership_rate | float64 · percent (0–100) | Share of occupied housing units that are owner-occupied, expressed as a percentage of the tenure universe. Calculated as owner_occupied / tenure_universe × 100. Higher values indicate greater homeownership prevalence. |
| owner_occupied | int64 · count | Number of occupied housing units where the householder owns the unit, with or without a mortgage. Higher values indicate greater owner-occupied stock. |
| renter_occupied | int64 · count | Number of occupied housing units where the householder rents the unit. Higher values indicate a larger rental housing market. |
| renter_rate | float64 · percent (0–100) | Share of occupied housing units that are renter-occupied, expressed as a percentage of the tenure universe. Calculated as renter_occupied / tenure_universe × 100. Higher values indicate a more renter-dominant housing market. |
| state_id | string | 2-character FIPS code identifying the state.Joins dim.states on state_id. |
| tenure_universe | int64 · count | Total number of occupied housing units included in the tenure classification universe for the county-year. Serves as the denominator for homeownership and renter rate calculations. |
| yearkey | int64 | Reference year of the observation. |
relationships
joins
primary key
county_id, year
common joins
dim.geographies on county_id
housing_supply_county_year on (county_id, year)
housing_affordability_county_year on (county_id, year)
usage
how to use this table
method
ACS B25003 reports owner-occupied vs renter-occupied housing units. Homeownership rate = owner-occupied / total occupied. Currently STUB.
do not use for
Sub-county tract analysis; vacant-unit rate (use B25002, separate); subsidized rental detail.
known issues
STUB - not yet loaded.
last updated · May 5, 2026