The 1950 Census population schedules were created by the Bureau of the Census in an attempt to enumerate every person living in the United States on April 1, 1950, although some persons were missed. The 1950 census population schedules were digitized by the National Archives and Records Administration (NARA) and released publicly on April 1, 2022. The 1950 Census enumeration district maps contain maps of counties, cities, and other minor civil divisions that show enumeration districts, census tracts, and related boundaries and numbers used for each census. The coverage is nation wide and includes territorial areas. The 1950 Census enumeration district descriptions contain written descriptions of census districts, subdivisions, and enumeration districts.

"Website allows the public full access to the 1950 Census images, census maps and descriptions.

This metadata report documents tabular data sets consisting of items from the Census of Agriculture. These data are a subset of items from county-level data (including state totals) for the conterminous United States covering the census reporting years (every five years, with adjustments for 1978 and 1982) beginning with the 1950 Census of Agriculture and ending with the 2012 Census of Agriculture. Historical (1950-1997) data were extracted from digital files obtained through the Intra-university Consortium on Political and Social Research (ICPSR). More current (1997-2012) data were extracted from the National Agriculture Statistical Service (NASS) Census Query Tool for the census years of 1997, 2002, 2007, and 2012. Most census reports contain item values from the prior census for comparison. At times these values are updated or reweighted by the reporting agency; the Census Bureau prior to 1997 or NASS from 1997 on. Where available, the updated or reweighted data were used; otherwise, the original reported values were used. Changes in census item definitions and reporting as well as changes to county areas and names over the time span required a degree of manipulation on the data and county codes to make the data as comparable as possible over time. Not all of the census items are present for the entire 1950-2012 time span as certain items have been added since 1950 and when possible the items were derived from other items by subtracting or combining sub items. Specific changes and calculations are documented in the processing steps sections of this report. Other missing data occurs at the state and (or) county level due to census non-disclosure rules where small numbers of farms reporting an item have acres and (or) production values withheld to prevent identification of individual farms. In general, caution should be exercised when comparing current (2012) data with values reported in earlier censuses. While the 1974-2012 data are comparable, data prior to 1974 will have inflated farm counts and slightly inflated production amounts due to the differences in collection methods, primarily, the definition of a farm. Further discussion on comparability can be found the comparability section of the Supplemental Information element of this metadata report. Excluded from the tabular data are the District of Columbia, Menominee County, Wisconsin, and the independent cities of Virginia with the exception of the three county-equivalent cities of Chesapeake City, Suffolk, and Virginia Beach. Data for independent cities of Virginia prior to 1959 have been included with their surrounding or adjacent county. Please refer to the Supplemental Information element for information on terminology, the Census of Agriculture, the Inter-university Consortium for Political and Social Research (ICPSR), table and variable structure, data comparability, all farms and economic class 1-5 farms, item calculations, increase of farms from 1974 to 1978, missing data and exclusion explanations, 1978 crop irregularities, pastureland irregularities, county alignment, definitions, and references. In addition to the metadata is an excel workbook (VariableKey.xlsx) with spreadsheets containing key spreadsheets for items and variables by category and a spreadsheet noting the presence or absence of entire variable data by year. Note: this dataset was updated on 2016-02-10 to populate omitted irrigation values for Miami-Dade County, Florida in 1997.

This data collection contains population estimates for various time periods spanning from 1900 to 1979. The data for 1900-1929 represent the resident population of the United States by single year of age (0 to 75+), race (white, nonwhite), and sex. Data for these years exclude the Armed Forces and the population residing in Alaska and Hawaii. Age 75 includes all ages from 75 up. The files for 1930-1939 represent the resident population of the United States by single year of age (0 to 75+), race (white, nonwhite), and sex. Data for these years exclude the Armed Forces and the population residing in Alaska and Hawaii. Age 75 includes all ages from 75 up. The files for 1940-1949 represent the resident population plus Armed Forces overseas of the United States by single year of age (0 to 85+), race (white, nonwhite), and sex. Data for these years exclude the the population residing in Alaska and Hawaii. Age 85 includes all ages from 85 up. The files for 1950-1959 represent the resident population plus Armed Forces overseas of the United States by single year of age (0 to 85+), race (white, nonwhite), and sex. Data for these years include the the population residing in Alaska and Hawaii. Age 85 includes all ages from 85 up. The files for 1960-1979 represent the resident population plus Armed Forces overseas of the United States by single year of age (0 to 85+), race (white, black, and other), and sex. Data for these years include the the population residing in Alaska and Hawaii. Age 85 includes all ages from 85 up.

Three different CMIP6-LOCA2 based climate projection data sets are spatially averaged for the contiguous United States counties to provide time series for analysis. The primary data set is the statistically downscaled CMIP6-LOCA2 (Localized Constructed Analogs, v2022051 version, Pierce et al. 2023), which includes temperature and precipitation projections from the Climate Model Intercomparison Program Phase 6 (CMIP6) for 27 models under the ssp245, ssp370, and ssp585 scenarios. The “unsplit Livneh” (Pierce et al. (2021) is used as the training data set for LOCA2, where county spatial summaries are also included here for convenience. The second data set analyzes the daily LOCA2 to produce 36 annual and 4 monthly threshold and extreme event metrics (CMIP6-LOCA2 Thresholds). Many of the threshold exceedance variables stem from the Climdex project (https://www.climdex.org), which predominately uses metric units. Additional English-based thresholds were included to support Department of Interior research. The third data set applies a monthly water-balance model to the LOCA2 projections to simulate the hydrological cycle of runoff, snow, soil moisture, and evapotranspiration (CMIP6-LOCA2 MWBM). Users interested in 6 km grids are referred to the home pages of each of the respective sources. Each of these three data sets are spatially average using the 2023 United States Census Bureau TIGER/Line Shapefiles (https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html). The NetCDF time series files herein can be linked to the shapefile geometry using the “GEOID field”. The “feature_area” variable can be used to create weighted averages for multiple counties, such creating a weighted state average from the enclosing counties. The 27 included CMIP6 GCMs are: ACCESS-CM2, ACCESS-ESM1-5, AWI-CM-1-1-MR, BCC-CSM2-MR, CESM2-LENS, CNRM-CM6-1, CNRM-CM6-1-HR, CNRM-ESM2-1, CanESM5, EC-Earth3, EC-Earth3-Veg, FGOALS-g3, GFDL-CM4, GFDL-ESM4, HadGEM3-GC31-LL, HadGEM3-GC31-MM, INM-CM4-8, INM-CM5-0, IPSL-CM6A-LR, KACE-1-0-G, MIROC6, MPI-ESM1-2-HR, MPI-ESM1-2-LR, MRI-ESM2-0, NorESM2-LM, NorESM2-MM, TaiESM1