Posted at 10:30 AM
Cross-blog post by John H. Thompson, U.S. Census Bureau Direrector
I was pleased to recently participate in the inaugural conference of the American Community Survey Data Users Group. This conference brought together a diverse group of data-loving number crunchers from local governments, nonprofits, economic development agencies, researchers and private sector companies from across the U.S. Their common connection: the reliable, timely and local data about their communities provided by the American Community Survey.
Sessions included case studies on how the American Community Survey statistics are used by cities, rural communities and businesses to measure disaster impacts, create jobs and develop policy for transit, housing and health care. Data users said the ACS is the most authoritative source of data on these topics for communities of every size, and how they rely on the availability of a common source of reliable data.
I was also asked about the challenges to survey data collection, the availability of the data and the impacts to the American Community Survey. They asked me what would happen to the survey if it were not mandated by law. As we have explained in the past, we have looked at this question and our research shows that a voluntary survey would reduce the self-response rates significantly. To make up the shortfall, we would have to increase the number of households surveyed and conduct much more in-person follow-up, at an additional cost of more than $90 million annually. If we weren’t able to increase the number of households surveyed we would collect much less data and accuracy would decrease due to increased sampling variation. This would disproportionately affect the accuracy of the results that we produce for many small areas and small population groups.
The American Community Survey (ACS) is an ongoing survey that provides data every year -- giving communities the current information they need to plan investments and services. Information from the survey generates data that help determine how more than $400 billion in federal and state funds are distributed each year. Data are used to help decide everything from school lunch programs to new hospitals.