Small Area Income and Poverty Estimates (SAIPE) Program

SAIPE School District Estimates for 2016

View and download 2016 school district estimates for Small Area Income and Poverty Estimates.

SAIPE State and County Estimates for 2016

View and download 2016 state and county estimates for Small Area Income and Poverty Estimates.

SAIPE Model Input Data

These datasets provide the aggregated tax, SNAP benefits, and poverty universe data used in producing the SAIPE estimates

Small Area Income and Poverty Estimates: 2016

Examines annual trends in income and poverty at the state, county, and school district levels based on the 2016 Small Area Income and Poverty Estimates.

Small Area Income and Poverty Estimates: 2015

This document presents highlights of the 2015 data released by the Small Area Income and Poverty Estimates program of the U.S. Census Bureau in December 2016.

The 2014 Small Area Income and Poverty Estimates (SAIPE): An Overview

This document presents summary highlights of the 2014 data released by the SAIPE program of the U.S. Census Bureau in December 2015.

Change in Median Household Income of the Population: 2007 to 2016

View percentage changes in median household income of the total population by county from 2007 to 2016.

Change in Median Household Income of the Population: 2015 to 2016

View percentage changes in median household income of the total population by county from 2015 to 2016.

Release Highlights of 2016

View and download 2016 release highlights for Small Area Income and Poverty Estimates.

Applying Binomial/Normal Models to Small Area Estimation

In this paper, we focus on modeling county poverty rates of school-aged (5-17) children.

Population and Sampling Design for Small-Area Model Evaluation

We evaluate models by a simulation study tailored more closely to the source data that will be used in production.

ACS Data Versus Census 2000 Data in SAIPE Models for Poverty Estimates

The Census Bureau’s Small Area Income and Poverty Estimates Program (SAIPE) produces model-based poverty estimates at the county and state level.