Please cite the corresponding article if this dataset is used to support additional findings:Leon-Moreta, A. "Ballot Measures for Open Space Conservation: Economic and Institutional Processes in Cities." Urban Affairs Review (2019): 1-34. doi:10.1177/1078087419884732.The data described here were used in the analysis and findings reported in the article, Leon-Moreta, A. "Ballot Measures for Open Space Conservation: Economic and Institutional Processes in Cities." Urban Affairs Review (2019): 1-34. doi:10.1177/1078087419884732. A STATA (V. 13) do-file for calculating variables is also included. Please cite the corresponding article if this dataset is used to support additional findings.https://journals.sagepub.com/doi/10.1177/1078087419884732Cited Datasets:The dataset described here cites data from the following sources:Bureau of Labor Statistics. 2002–2012. Consumer Price Index. https://www.bls.gov (accessed March 27, 2018).Berry, William, Evan Ringquist, Richard Fording, and Russell Hanson. 1998. “Measuring Citizen and Government Ideology in the American States, 1960-93.” American Journal of Political Science 42(1): 327-348.Census Bureau. 1987–2012. Census of Governments. Washington, DC: Department of Commerce.Census Bureau. 2000. Census of Population and Housing. Washington, DC: Department of Commerce.Census Bureau. 2005–2014. American Community Survey. Washington, DC: Department of Commerce.Census Bureau. 1988–2011. Boundary and Annexation Survey. Washington, DC: Department of Commerce.International City/County Management Association. 1996–2011. Municipal Form of Government Surveys. Washington, DC: ICMA.National Center for Charitable Statistics. 2000–2010. IRS Business Master File. Washington, DC: Urban Institute.National Historical Geographic Information System. 2001–2011. National Land Cover Database. Minneapolis, MN: University of Minnesota.Trust for Public Land. 2018. LandVote®. Landvote.org (accessed March 27, 2018).Trust for Public Land. 2000, 2005, 2010. National Conservation Easement Database.National Agricultural Statistics Service. Census of Agriculture. Washington, DC: United States Department of Agriculture.Woods & Poole. 2000 through 2010. MSA Profile. Washington, DC: Woods & Poole.

This dataset consist of annual (2020-2100) county-level population projections for the United States (U.S.) for Shared Socioeconomic Pathways (SSPs) 3 and 5. The original decadal state-level data is used as an input to the gridded population data model to downscale the state-level projections for each SSP to a 1 km grid. The 1 km data is then aggregated to the county-level using the 2020 TIGER/Line county shapefiles from the U.S. Census Bureau. The two data files are shared as .csv files with the following structure: Rows = Data for individual counties which are identified using their Federal Information Processing Standard (FIPS) code. The FIPS code is stored in the first column. Columns = Each year from 2020-2100 is an individual column. For easier reference, the state name associated with each row is stored in the last column. Values in each cell are the downscaled estimated population for that county-year combination. Values are fractional due to the weighting scheme used in the downscaling. The paper and model source code cited in the "Related Works" section describes the initial source of the population projections.

Annual Resident Population Estimates by Age Group, Sex, Race, and Hispanic Origin: April 1, 2010 to July 1, 2018 // Source: U.S. Census Bureau, Population Division // The contents of this file are released on a rolling basis from December through June. // Note: 'In combination' means in combination with one or more other races. The sum of the five race-in-combination groups adds to more than the total population because individuals may report more than one race. Hispanic origin is considered an ethnicity, not a race. Hispanics may be of any race. Responses of 'Some Other Race' from the 2010 Census are modified. This results in differences between the population for specific race categories shown for the 2010 Census population in this file versus those in the original 2010 Census data. For more information, see https://www2.census.gov/programs-surveys/popest/technical-documentation/methodology/modified-race-summary-file-method/mrsf2010.pdf. // The estimates are based on the 2010 Census and reflect changes to the April 1, 2010 population due to the Count Question Resolution program and geographic program revisions. // For detailed information about the methods used to create the population estimates, see https://www.census.gov/programs-surveys/popest/technical-documentation/methodology.html. // Each year, the Census Bureau's Population Estimates Program (PEP) utilizes current data on births, deaths, and migration to calculate population change since the most recent decennial census, and produces a time series of estimates of population. The annual time series of estimates begins with the most recent decennial census data and extends to the vintage year. The vintage year (e.g., V2017) refers to the final year of the time series. The reference date for all estimates is July 1, unless otherwise specified. With each new issue of estimates, the Census Bureau revises estimates for years back to the last census. As each vintage of estimates includes all years since the most recent decennial census, the latest vintage of data available supersedes all previously produced estimates for those dates. The Population Estimates Program provides additional information including historical and intercensal estimates, evaluation estimates, demographic analysis, and research papers on its website: https://www.census.gov/programs-surveys/popest.html.