ACS - Age, Sex, and Race/Ethnicity (1-Year Estimates)
fusioncenter.nhit.org | Last Updated 5 Apr 20211-year estimates from the American Community Survey
This dataset has the following 13 columns:
| Column Name | API Column Name | Data Type | Description | Sample Values |
|---|---|---|---|---|
| Name | name | text | Name of geographic boundary | Johnson County, Texas Terrebonne Parish, Louisiana San Francisco County, California Greenville County, South Carolina California view top 100 |
| Geographic Identifier | geo_id | text | Unique identifier for geographic boundary | 0500000US23003 0500000US36015 0500000US34031 0500000US55131 0500000US24037 view top 100 |
| Geographic Type | geo_type | text | Type of geographic boundary | county state view top 100 |
| Year | year | number | Final year of survey vintage | 2018 2017 2016 2015 2014 view top 100 |
| Date | date | calendar_date | Date representing final year of survey vintage | 2018-12-31T00:00:00.000 2017-12-31T00:00:00.000 2016-12-31T00:00:00.000 2015-12-31T00:00:00.000 2014-12-31T00:00:00.000 view top 100 |
| Variable Code | variable_code | text | Code for American Community Survey variable | B01001_001E B01001_002E B01001_026E B01002_001E B02001_002E view top 100 |
| Variable Label | variable_label | text | Label for American Community Survey variable | Total - Female Total - Asian alone Total - Black or African American alone Total - Native Hawaiian and Other Pacific Islander alone Total - Male view top 100 |
| Variable Concept | variable_concept | text | Concept for American Community Survey variable | Race Sex by Age Selected Social Characteristics in the United States Poverty Status in the Past 12 Months Age and Sex view top 100 |
| Annotation | annotation | text | Annotation for American Community Survey estimate | The estimate is not applicable or not available. Data for this geographic area cannot be displayed because the number of sample cases is too small. view top 100 |
| Value | value | number | Numeric value of American Community Survey estimate | 0.0 38.0 40.0 39.0 37.0 view top 100 |
| Percent Change | percent_change | number | Percent change from previous year's value for geographic boundary and variable | -1.0 0.0 0.032258064516129004 0.024390243902439046 0.026315789473684292 view top 100 |
| Difference | difference | number | Absolute change from previous year's value for geographic boundary and variable | 0.0 0.5 0.10000000000000142 0.3999999999999986 0.20000000000000284 view top 100 |
| Internal Point | internal_point | point | Point guaranteed to fall within geographic boundary | {"coordinates":[-155.4483455233803,19.58896050186166],"type":"Point"} {"coordinates":[-76.98756143328056,38.89326450979672],"type":"Point"} {"coordinates":[-96.68725838442397,40.784452],"type":"Point"} {"coordinates":[-86.5067956119491,39.7622965],"type":"Point"} {"coordinates":[-116.6945592147607,33.02251584061],"type":"Point"} view top 100 |