Environmental data

Showing 1-2 of 2 results

Geospatial and Environmental Exposure Data for U.S. Census-Based Analysis (2000–2016)

Creators: Janet Currie, Princeton University; John Voorheis, United States Census Bureau; Reed Walker, University of California-Berkeley
Publication Date: 2022-12-20
Creators: Janet Currie, Princeton University; John Voorheis, United States Census Bureau; Reed Walker, University of California-Berkeley

This dataset collection contains publicly available geospatial, environmental, and demographic data used to examine the relationship between PM2.5 exposure and population characteristics across the United States from 2000 to 2016. It includes annual satellite-based and monitor-based PM2.5 estimates (Di et al., EPA, van Donkelaar), county-level nonattainment status under the Clean Air Act, and geographic boundary files for U.S. states, census blocks, and commuting zones. Demographic data at the tract and block level are provided via IPUMS NHGIS and the U.S. Census Bureau. These files are designed for spatial matching, environmental exposure assignment, and policy-related research on air quality and health disparities.

Environmental and Socioeconomic Indicators across Indian Districts

Creators: Eyal G. Frank, University of Chicago. Harris School of Public Policy; Anant Sudarshan, University of Warwick: Department of Economics
Publication Date: 2024-06-26
Creators: Eyal G. Frank, University of Chicago. Harris School of Public Policy; Anant Sudarshan, University of Warwick: Department of Economics

This dataset collection brings together harmonized data on environmental, demographic, agricultural, health, and geographic characteristics across India. It includes district- and state-level information on bird habitat overlaps, pharmaceutical sales, livestock counts, water quality, weather patterns, and medical infrastructure, alongside population census data from multiple years. The files also incorporate geographic shapefiles, administrative boundary keys, and classifications such as coastal districts. Together, these files provide a structured, multi-dimensional view of India’s social and ecological landscape across time and space.

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