Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
Topics
Data & Maps
Surveys & Programs
Resource Library
Methods Used for Small Area Poverty and Income Estimates
Methods Used for Small Area Poverty and Income Estimates
Abstract
Existing postcensal estimates of poverty and income at the county level are considered inadequate for various reasons: The Census is rapidly dated and the March CPS is not sufficiently reliable, especially for those counties which are not sampled by CPS. The goal of The Small Area Income and Poverty Estimates (SAIPE) project is to form these estimates. We modeled the number of poor in various age categories and median household income as a function of various variables taken from administrative records. We recognize two sources of "error" -- sampling error and model error -- and apply a shrinkage estimator to obtain estimates of number of poor or median income by county. Finally, a ratio adjustment is used to make estimates consistent with the SAIPE state estimates. We describe the methods used to obtain these estimates and their standard errors and present some empirical evaluations of the models.
Related Information
Page Last Revised - October 8, 2021
✕
Is this page helpful?
Yes
No
Yes
No✕
NO THANKS
255 characters maximum
255 characters maximum reached
255 characters maximum reached
✕
Thank you for your feedback.
Comments or suggestions?
Comments or suggestions?
