Every five years, the Census Bureau releases two data products containing the greatest level of statistical detail for specific population groups:
Browse the documentation below to learn about the available tables, geographies, population groups, and comparison guidance. Visit the Race/Ethnicity and American Indian & Alaska Native Data page for links to access the statistics.
Explore the list of available tables, population groups, geographies, and comparison guidance for the 2011-2015 ACS 5-year Selected Population Tables (SPT) and American Indian and Alaska Native Tables (AIANT). Additional details about the contents of this documentation are described below.
Browse the lists of available Data Profiles and Detailed Tables. The 2006-2010 ACS 5-year SPT and AIANT, as well as Census 2000 Summary File 4 (SF4) and American Indian Alaska Native Summary File (AIANSF) equivalent tables are also shown where possible.
Tables will be available based on the size of the group and the number of sample cases for a specific geographic area (i.e., state or town). Steps 1 and 2 below outline the criteria for publishing estimates for groups.
The race, Hispanic origin, ancestry, or tribal population group must have a population of at least 7,000 at the national-level.
The American Indian or Alaska Native group must have a population of at least 100 at the national-level.
For the table to be released for a particular population group, the desired geographic area (i.e., the state of Florida) must have at least 50 unweighted sample persons from the population group, based on 2011-2015 ACS 5-year estimates. This requirement protects individual and household responses. View the "SPT Geographies" and "AIANT Geographies" tabs for more details.
Definitions of American Indian and Alaska Native tribes change over time. Reference the "SPT Comparison Guide" and "AIANT Comparison Guide" tabs of the documentation to determine whether data for these groups are comparable to statistics from previous datasets.
A basic explanation of the sample design, estimation methodology, and accuracy of the data.