ACS5 Sex by Age by Nativity and Citizenship Status (Asian Alone)

US Census ACS 5-Year Sex by Age by Nativity and Citizenship Status (Asian Alone). Tidy long-format table: one row per geography, year, and variable. 23 estimate variables per geo/year. Partitioned by geography level. 2009–2024.

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GET /api/datasets/acs5-b05003d — schema, filters, and pricing
GET /api/datasets/acs5-b05003d/sample — free sample (100 rows)
GET /api/datasets/acs5-b05003d/members/{col} — valid values for a filterable column
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Source

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

Size and Format

Rows: 18,285
Columns: 16
Size (bytes): 98,861
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-b05003d/query.

geo_id Members (JSON)
geo_level Members (JSON)
state_fips Members (JSON)
year Members (JSON)
variable Members (JSON)
node_type Members (JSON)
sex Members (JSON)
age Members (JSON)
nativity Members (JSON)
citizenship_status 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
`sex`	string	Dimension: sex. Depth 1 label value. (e.g. 'Female', 'Male')	Yes
`age`	string	Dimension: age. Depth 2 label value. (e.g. '18 years and over', 'Under 18 years')	Yes
`nativity`	string	Dimension: nativity. Depth 3 label value. (e.g. 'Foreign born', 'Native')	Yes
`citizenship_status`	string	Dimension: citizenship_status. Depth 4 label value. (e.g. 'Naturalized U.S. citizen', 'Not a U.S. citizen')	Yes
`value`	float	Estimate value (null if suppressed)	No
`moe`	float	Margin of error (null if suppressed)	No

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