High-Resolution Map of US Population Density

The United States is a vast country with varying levels of population density across its territories. Understanding the distribution of people in different areas is crucial for planning and decision-making purposes, particularly when it comes to development, disaster response, and health applications. To achieve this goal, WorldPop has developed a high-resolution map of US population density.

Using advanced mapping techniques, including Random Forest-based dasymetric redistribution, the WorldPop project aims to provide an open-access archive of spatial demographic datasets for various regions around the world, including North America, Central and South America, Africa, and Asia. The dataset used in this study is based on 2015 population data.

The resulting map displays the estimated density of people per grid-cell at approximately 1km resolution, with units expressed as people per square kilometer (ppl/Km²). This high-resolution map offers a detailed representation of population distribution across the US, allowing for more accurate analysis and planning.

WorldPop's commitment to transparency, fully documented methods, and peer-reviewed publications ensures that the data is reliable and easily updatable. To access and utilize this valuable dataset, please visit the WorldPop website and cite the project as the source. Additionally, refer to the following academic publications for specific details on each dataset: '1' Tatem, 2015; '2' Linard et al., 2014.

By leveraging WorldPop's high-resolution map of US population density, policymakers, researchers, and practitioners can make more informed decisions that cater to the needs of diverse communities across the country. The project's open-access approach fosters collaboration and innovation, ultimately contributing to a better understanding of population dynamics in the United States.

References:

'1' Tatem, A. J. (2015). High-resolution gridded population datasets for Latin America and the Caribbean in 2010, 2015, and 2020. Scientific Data, 2(1), 150045. doi:10.1038/sdata.2015.45

'2' Linard et al. (2014). Mapping population density of Africa at high resolution. International Journal of Health Geographics, 13(1), 35.

Us population density high res map