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Census statisticians lay out the differences between ACS and SAIPE estimates
Summary
Presenters summarized that ACS covers a broad set of topics with one- and five-year products across many geographies, while SAIPE provides single-year poverty and median household income estimates for all areas (including school districts) using auxiliary data and modeling to reduce volatility.
Ryan Ricciardi and Amelia Ingram contrasted the two programs: Ricciardi stressed that the ACS covers more than 40 topics and produces one-year and five-year period estimates for varying geographies, while Ingram explained that SAIPE focuses narrowly on poverty and median household income and produces single-year estimates for school districts and other small areas.
Ingram described SAIPE’s use of auxiliary data—aggregated tax returns, SNAP participation records, BEA income components and population estimates—and the Fay-Herriot modeling approach to reduce variability in small-area estimates. Ricciardi pointed out that ACS one-year and five-year estimates and SAIPE five-year-like coverage are available for all areas but that the products differ in scope and variables: ACS offers multiple income-to-poverty ratios and detailed income brackets; SAIPE provides poverty at 100% income-to-poverty ratio and median household income only.
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