As of 2020, the region has a total population of 15,116,205. Source imagery for HRSL © 2016 DigitalGlobe. These states are Maine, New Hampshire, Vermont, Massachusetts, Connecticut and Rhode Island. In the case of humans, population density is often discussed in relation to urbanization, immigration, and population demographics. World population on political map with scale, borders and countries. Shining city lights in Europe, concept about technology, energy, population density, development. This page may have been moved or deleted. Planet Earth glowing at night viewed from space. To reference this data, please use the following citation: Facebook Connectivity Lab and Center for International Earth Science Information Network - CIESIN - Columbia University. This layer shows the population density in the United States in 2020 in persons per square mile in a multiscale map by country, state, county, ZIP Code, tract, and block group. Muskegon County, Michigan is green (100-199), but its population density is 348 per square mile. This preserves the relative population totals across administrative units while matching the UN total. Population of 286,383 divided by land area of 563 square miles equals population density of 509 per square mile. The resulting adjustment factor is multiplied by each administrative unit census value for the target year. The UN estimate for a given country (or state/territory) is divided by the total census estimate of population for the given country. For more information about this viewer and its data, click here. Zoom in on the map to see data for counties and census tracts. For more information about the methodology used to create our high resolution population density maps and the demographic distributions, please visit: įor information about how to use HDX to access these datasets, please visit: Īdjustments to match the census population with the UN estimates are applied at the national level. Expand any category (e.g., Population, Families and Households, Housing) for a list of maps. The resulting maps are the most detailed and actionable tools available for aid and research organizations. Then we work with our partners at Columbia University to overlay general population estimates based on publicly available census data and other population statistics. Toggling the transparency from 0 to 90, you can compare population density to the Lights at Night layer below. To create our high-resolution maps, we use machine learning techniques to identify buildings from commercially available satellite images. Creative Commons Attribution International
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