Source imagery for HRSL © 2016 DigitalGlobe. had the highest population density in the United States, with 10,984.43 people per square mile. To reference this data, please use the following citation: Facebook Connectivity Lab and Center for International Earth Science Information Network - CIESIN - Columbia University. This preserves the relative population totals across administrative units while matching the UN total. 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. , 68 Population, distribution of in 1800, 105, map in 1820, 132, map in 1830, 1840, 164, map in 1860, 1870, 228, map in 1880, 1890, 229 . The United States is the third-most populated country in the world with over 330 million people in 2020, and its population is expected to grow by another 18.5 million in just the next ten years. 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. Description: A map of the United States in 1840, showing the frontier line, indicate by the thick black line. In a broad sense, this number tells us how many people would live within one square mile if. population (316 million in 2013) by the total U.S. value is calculated by dividing the total U.S. The resulting maps are the most detailed and actionable tools available for aid and research organizations. In the U.S., population density is typically expressed as the number of people per square mile of land area.
![population density map of the us 1840 population density map of the us 1840](https://i.pinimg.com/originals/6c/b5/5b/6cb55bad8f907e420015c00aee25a583.jpg)
Then we work with our partners at Columbia University to overlay general population estimates based on publicly available census data and other population statistics. To create our high-resolution maps, we use machine learning techniques to identify buildings from commercially available satellite images. Creative Commons Attribution International