ACS5 Tenure by Educational Attainment of Householder

US Census ACS 5-Year Tenure by Educational Attainment of Householder. Tidy long-format table: one row per geography, year, and variable. 11 estimate variables per geo/year. Partitioned by geography level. 2009–2024.

education country/usa education/country/usa/acs5-b25013 census acs acs5 tidy b-tables usa annual education housing

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Dataset API

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GET /api/datasets/acs5-b25013 — schema, filters, and pricing
GET /api/datasets/acs5-b25013/sample — free sample (100 rows)
GET /api/datasets/acs5-b25013/members/{col} — valid values for a filterable column
GET /api/datasets/acs5-b25013/query — query with filters (API key required)

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POST /api/checkout/x402 — agents: add balance via x402 (USDC)
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POST /api/ap2/intent → /api/ap2/purchase — agents: AP2 mandate-based payment

Source

Name: US Census Bureau — American Community Survey
URL: https://www.census.gov/programs-surveys/acs
License: Public Domain

Size and Format

Rows: 8,745
Columns: 14
Size (bytes): 54,402
Formats: parquet, csv

Pricing

Per query (USD): 0.0100 USD
Max rows per query: 1000
Free: No
Free sample: Yes

Temporal Coverage

end: 2024
start: 2009
frequency: annual

Geographic Coverage

level: multi
coding: GEOID
region: United States (national_state, county)

Query Filters

Columns you can use as query params in GET /api/datasets/acs5-b25013/query.

geo_id Members (JSON)
geo_level Members (JSON)
state_fips Members (JSON)
year Members (JSON)
variable Members (JSON)
node_type Members (JSON)
dim_1 Members (JSON)
educational_attainment Members (JSON)

Schema (Columns)

Column	Type	Description	Filterable
`geo_id`	string	Standard Census GEOID (FIPS code)	Yes
`geo_name`	string	Human-readable geography name (e.g. "Georgia", "Fannin County, GA")	No
`geo_level`	string	Geography type: "national" \| "state" \| "county"	Yes
`state_fips`	string	2-digit state FIPS code; null for national and zcta rows	Yes
`year`	integer	ACS 5-Year survey ending year	Yes
`survey`	string	ACS product: "acs5"	No
`variable`	string	Census variable code (e.g. "B01001_005E")	Yes
`concept`	string	Table concept — same for all rows in this dataset	No
`label`	string	Human-readable label (e.g. "Male: 5 to 9 years")	No
`node_type`	string	"total" \| "subtotal" \| "leaf" — position in label hierarchy	Yes
`dim_1`	string	Depth 1 label value. (e.g. 'Owner-occupied housing units', 'Renter-occupied housing units')	Yes
`educational_attainment`	string	Dimension: educational_attainment. Depth 2 label value. (e.g. "Bachelor's degree or higher", 'High school graduate (including equivalency)', 'Less than high school graduate', "Some college or associate's degree")	Yes
`value`	float	Estimate value (null if suppressed)	No
`moe`	float	Margin of error (null if suppressed)	No

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