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]
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]
NASA’s Socioeconomic Data and Applications Center (SEDAC) has produced a population estimation service “for estimating population totals and related statistics within a user-defined region.” Basically, it provides a population estimate for an area drawn on a map. Available as data via map and GIS clients, it’s also accessible via a web app. I’ve noodled about with it; its population estimates are generally not insane. [Kottke]
The number of same-sex marriages in the United States is not directly tracked. But a new Treasury Department research paper has been able to come up with a count of same-sex marriages by looking at jointly filed tax returns; the New York Times story is accompanied by a nice interactive map of such marriages by zip code. [MAPS-L]
Reddit user joostjakob posted the above map to MapPorn with the following caption: “Why population density maps are hard to read: exactly the same amount of people live in the black and in the blue areas.” [Maps on the Web]
Last month a Bloomberg story looked at the racial implications of Amazon’s same-day delivery service, which, the story demonstrated in a series of maps, tended to exclude predominantly black ZIP codes.
The exclusions were basically driven by the data: where their customers were, driving distance to the nearest fulfillment centre, that sort of thing. But the issue, it seems to me, is that the demographics behind the data are not racially neutral (something that Troy Lambert’s analysis for GIS Lounge, for example, fails to address): Amazon basically failed to ask its data the next question. Be very careful of why your data is the way it is. In the event, Amazon has since announced that excluded neighbourhoods and boroughs in Boston, New York and Chicago will get same-day service.
(Full disclosure: The Map Room is an Amazon associate.)
Le Grand Paris en Cartes is a collection of interactive maps and infographics about the Grand Paris Express, a multi-billion-euro project to extend Paris’s Metro and rapid transit network deep into the surrounding Île-de-France region (if you can read French, the official site and French Wikipedia page provide a lot more information). These maps not only illustrate Parisians’ commuting routes and Metro usage, but also (see above) the kind of sociological data that underpins transit planning: employment centres, population density and so forth. In French. [via]