Maps Mania reported last month that the University of Virginia’s Racial Dot Map has been taken offline. The proximate causes: the 2020 census, which rendered the map obsolete (it was based on 2010) data; the increased complexity of the 2020 census’s racial data (more people IDing as multiracial or other); and insufficient resources to bring the map up to date given that complexity. But Maps Mania points to a number of new racial dot maps, such as CNN’s and Ben Schmidt’s All of US, which operate despite the caveats identified by UVa; plus see the following previous posts: Census Mapper: An Interactive Map of U.S. Population Changes; Mapping Racial Population Shifts in the United States.
Census Mapper maps the change in the U.S. population revealed by the 2020 census: the interactive map takes a county-by-county look at population growth (or decline) of the various ethnic/racial groups. [Maps Mania]
For this year’s GIS Day, the Library of Congress is holding a virtual event focusing on the 2020 Census, featuring a keynote by Census Bureau geography chief Deirdre Bishop as well as three technical papers. The program will be (or was, depending on when you read this) streamed on the Library of Congress’s website and on their YouTube channel on Wednesday, 17 November 2021 at 1 p.m. EST, and will be available for later viewing.
Redistricting—and gerrymandering—is one of the blacker cartographic arts. With the release of data from the 2020 U.S. Census, and the changes in state congressional delegations—some states gain a seat or two, some states lose a seat, others are unchanged—new congressional maps are being drawn up for the 2022 elections. The Washington Post takes a look at proposed congressional district maps in Colorado, Indiana and Oregon, and what their impact may be.
As part of its extensive coverage of the 2020 census, the Washington Post maps the changes in the U.S.’s ethnic/racial makeup, and where it’s been changing.
The HTC 2020 map is an interactive map of hard-to-count communities built for campaigns to increase participation in the United States’s 2020 census. Hard-to-count communities are populations that historically have a poor self-response rate: they return their census forms online or by mail at lower rates, requiring followup interviews by enumerators. The map shows response rates by census tract, and notes the demographics of each tract in terms of why the response rates might be low: lack of Internet access, or large numbers of people who are historically undercounted (poor, rural, people of colour). [NYPL]
Statistics Canada released population and dwelling data from the 2016 Census yesterday. MountainMath’s CensusMapper project already has interactive maps based on that data: population change since 2011 (absolute and percentage), population density, and unoccupied dwellings—with presumably more to come, since the interface allows you to make your own census-derived maps.
Brandon Martin-Anderson’s Census Dotmap plots every person counted in the 2010 Census as a single dot on the map. Which is to say that there are 308,450,225 dots on the map. Zoom in and see (though it’s not labelled and can be confusing to navigate at higher zooms). I suppose this is the demographic equivalent of the 1:1 map of Borges’s “On Exactitude in Science.” Via Boing Boing.