Small Area Income and Poverty Estimates
Census.gov › People and Households › SAIPE Main › SAIPE Data › Data Release Highlights › 2010
Release Highlights of 2010
November 29, 2011
The following estimates are produced for 2010 from the Small Area Income and Poverty Estimates (SAIPE) program:
| States & counties | School districts |
|---|---|
| all people in poverty | total population |
| children under age 18 in poverty | children ages 5 to 17 |
| related children ages 5 to 17 in families in poverty | related children ages 5 to 17 in families in poverty |
| children under age 5 in poverty (for states only) | |
| median household income |
These model-based estimates are produced for states, counties, and school districts of all population sizes. They are produced by combining data from administrative records, intercensal population estimates, and the decennial census with direct estimates from the American Community Survey to provide consistent and reliable single-year estimates.
Accessing the Estimates
The 2010 SAIPE estimates can be accessed in many different formats:
- Data tables of user-selected or complete dataset downloads
- Maps of state or county poverty rates and median household income estimates
- Highlights document [PDF - 15M]
- List of Counties with Significant Changes between 2007 and 2010 [XLS - 147k]
- Tables of highest and lowest SAIPE estimates for:
- All Counties [XLS - 77k]
- All States [XLS - 60k]
- Counties in Metro Areas [XLS - 77k]
- Counties in Micro Areas [XLS - 77k]
- Counties Not in Metro or Micro Areas [XLS - 77k]
- Counties in Midwest Region [XLS - 77k]
- Counties in Northeast Region [XLS - 77k]
- Counties in South Region [XLS - 77k]
- Counties in Western Region [XLS - 77k]
General Cautions
Estimates for counties or states in the sorted tables may not be statistically different from estimates for other counties or states in the tables due to uncertainty in the estimates. Please see uncertainty for information associated with model-based estimates, and also general cautions about comparing model-based estimates.
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