![]() This cookie is set by GDPR Cookie Consent plugin. These cookies ensure basic functionalities and security features of the website, anonymously. Necessary cookies are absolutely essential for the website to function properly. To learn more about AirSage’s population density platform called Activity Density, visit AirSage today! A high-resolution population density map provides a more uniform picture of population distributions over a landscape than administrative unit counts while allowing for seamless integration with various other gridded datasets. High-resolution population distribution maps have been used in various applications, including illness burden calculation, epidemic modeling, resource allocation, disaster management, accessibility modeling, transportation and city planning, poverty mapping, and environmental impact assessment.ĪirSage leverages and integrates the expanding amount of geographical data on human populations and demographics to provide a comprehensive Activity Density platform.Ĭensus, GPS, cellphone, and other geographic information are all combined using patented methodologies and statistical approaches. What is the Purpose of a High-Resolution Population Map? Nutritional Density: This is the ratio of a state's total population to the area under food crop cultivation in that state. Economic or Numerical Density: To calculate a state's economic density, divide the weighted index of its population by the production capacity index of all its financial resources as a percentage.ĥ. ![]() Farmers, agricultural laborers, and their families are part of the agricultural population.Ĥ. Agricultural Density: A state's agricultural density is the ratio of its total rural population to its agricultural land. It is also known as the human-to-agricultural land ratio.ģ. Functional Density: Functional density is a region's population ratio to agricultural land. It is stated as a percentage of the total population divided by the entire area.Ģ. Density arithmetic: Arithmetical Density is the number of people living in a square kilometer region. The following are the several forms of population density:ġ. Population density is represented as an area and its associated conditions. Specifically, people tend to congregate more frequently in urban areas, while people living in rural areas are typically distributed more sparsely over the same land area. However, populations are dispersed unevenly throughout regions. This figure presents an average of how many people would live inside one square mile if the United States population was evenly distributed across all of its land areas. The overall US population density is estimated by dividing the US population by the entire land area in the US (approximately 3.5 million square miles). Population density is commonly expressed in the United States as the number of people per square mile of land area. Population density is a comparison of the intensity of people across geographic areas (i.e., neighborhoods). Even within cities, population densities vary significantly from one neighborhood to the next. Imagery used to identify settlements is from the Maxar Basemap +Vivid.While the population density in the United States is roughly 90 people per square mile, most people reside in cities with a substantially greater density. Population estimates are based on data from the Gridded Population of the World data collection. Accessed DAY MONTH YEAR.ĬIESIN contributions to the development of this work were supported by funding provided by Facebook. To reference this data, please use the following citation:įacebook 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. 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. 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. 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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