Content The United States census count (also known as the Decennial Census of Population and Housing) is a count of every resident of the US. The census occurs every 10 years and is conducted by the United States Census Bureau. Census data is publicly available through the census website, but much of the data is available in summarized data and graphs. The raw data is often difficult to obtain, is typically divided by region, and it must be processed and combined to provide information about the nation as a whole. The United States census dataset includes nationwide population counts from the 2000 and 2010 censuses. Data is broken out by gender, age and location using zip code tabular areas (ZCTAs) and GEOIDs. ZCTAs are generalized representations of zip codes, and often, though not always, are the same as the zip code for an area. GEOIDs are numeric codes that uniquely identify all administrative, legal, and statistical geographic areas for which the Census Bureau tabulates data. GEOIDs are useful for correlating census data with other censuses and surveys. Dataset Description | geo_id | STRING | Geo code | |-------------|---------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | minimum_age | INTEGER | The minimum age in the age range. If null, this indicates the row as a total for male, female, or overall population. | | maximum_age | INTEGER | The maximum age in the age range. If null, this indicates the row as having no maximum (such as 85 and over) or the row is a total of the male, female, or overall population. | | gender | STRING | male or female. If empty, the row is a total population summary. | | population | INTEGER | The total count of the population for this segment. | Acknowledgements This dataset was created by the [United States Census Bureau][1]. Use this dataset with BigQuery You can use Kernels to analyze, share, and discuss this data on Kaggle, but if you’re looking for real-time updates and bigger data, check out the data on BigQuery, too: https://cloud.google.com/bigquery/public-data/international-census. [1]: https://www.census.gov/