The Census Bureau’s Small Area Income and Poverty Estimates (SAIPE) Program and the Small Area Health Insurance Estimates (SAHIE) Program are two of my favorite ‘go-to’ sources for small-area estimates. Both are easily grabbed via
tidycensus so the first thing I’d like to do is explore county-level trends going as far back as is possible – 2008-2016 for SAHIE, 2006-2017 for all SAIPE estimates except for school-age (5 to 17 in families) poverty rate estimates that allow for longer comparisons (2005-2017).
Let us ask the obvious question: What is the distribution of poverty over time? First up, an animated map of all counties in the nation, depicting the percent of the total population living in poverty in a given county in a given year. These are followed by SAHIE maps for selected population groups.
None of these animations give us a clear idea of Appalachian/Non-Appalachian differences. So one alternative would be to rely on the American Community Survey series to generate aggregated estimates for Appalachia versus Non-Appalachia, and then compare across available time periods. The one constraint here will be the need to rely on non-overlapping ACS 5-year series since the ACS 1-year will not pick up counties with small populations. I could also restrict my focus to Ohio per se and that might allow for a closer inspection of regional differences and trends.