Applying a Finite Population Correction Factor to ACS Variance Estimates
Applying a Finite Population Correction Factor to ACS Variance Estimates
The American Community Survey (ACS) has not in the past, and does not currently, use a finite population correction (FPC) factor in its variance estimation methodology. However, the Census 2000 long form variance estimation methodology did include such a factor. One-year ACS samples are not large enough for an FPC to have much impact on variances. However, with 5-year ACS estimates, up to 50 percent of housing units in certain blocks may have been in sample over the 5-year period. Applying an FPC factor will enable us to get a more accurate estimate of the variance, particularly for small areas. Research began on assessing the feasibility and the magnitude of the effect of incorporating an FPC factor into ACS variance estimates.
Others in Series
Working Paper
Replacing/Supplementing Sale of Agricultural Products Question on ACS
Learn more about the potential for using IRS data to replace or supplement the sale of agricultural products question on the ACS.
Working Paper
Issues Related to Adding Sub-Annual Estimates to Data Products
Examines research to determine if there are estimates to approximate shorter time periods using current ACS design and estimation methodology.
Working Paper
Use of Administrative Records to Replace or Enhance the Mortgage/Home Equity Loan Amount & Payment Questions on the American Community Survey
Learn more about the potential for using administrative records to capture mortgage data on the ACS.
Page Last Revised - October 8, 2021