Actions for Population by Single Year of Age from the Complete U.S. Database - 2024 database shown in # Persons Date Type: Year; State: Maryland; Gender: All Genders; Race: All Races; Age Group: All Ages; Age: All Sage Data. Sage Publishing Ltd Sage Data [electronic resource]
Population by Single Year of Age from the Complete U.S. Database - 2024 database shown in # Persons Date Type: Year; State: Maryland; Gender: All Genders; Race: All Races; Age Group: All Ages; Age: All Sage Data. Sage Publishing Ltd Sage Data [electronic resource]
- Corporate Author
- Woods & Poole Economics, Inc
- Published
- Thousand Oaks, CA : Sage Publications, Inc. 2025
Access Online
- Sage Data: ezaccess.libraries.psu.edu
- Summary
- Provides a count of population by single year of age by race/ethnicity and gender. The Complete U.S. Database by Woods & Poole provides annual historical and projected estimates of population and economic variables across the US to 2060. All data 2023-2060 are projected. Woods & Poole uses historical data from the Bureau of Economic Analysis (BEA) and Census Bureau, both of which are part of the U.S. Department of Commerce, to estimate its projections. The Woods & Poole 2024 projections are based on annual historical data from 1969 to 2022. In the 2024 projections historical time series data through 2019 and for the year 2022 are used for the forecasts. Data for 2020 and 2021 are not used in the time series because of the impact of the COVID-19 pandemic. Much of the economic projections relies on BEA historical data, including county-level data for employment and earnings. Other sources of data include the decennial censuses, postcensal reports for population and household data, and the quinquennial Census of Retail Trade. Census Bureau population estimates are used as the basis for estimates of single-age, sex, and race projections. Projections are based on regional model and export-base projection methods applied to historical county databases from the BEA and Census Bureau. All other geographic projected estimates are based on those county estimates.
- Subject(s)
- Maryland—Jefferson - Alabama—Madison - Alabama—Mobile - Alabama—Baldwin - Alabama—Shelby - Alabama—Tuscaloosa - Alabama—Lee - Alabama—Montgomery - Alabama—Limestone - Alabama—Morgan - Alabama—Houston - Alabama—Saint Clair - Alabama—Marshall - Alabama—Calhoun - Alabama—Etowah - Alabama—Lauderdale - Alabama—Elmore - Alabama—Cullman - Alabama—Talladega - Alabama—De Kalb - Alabama—Blount - Alabama—Russell - Alabama—Autauga - Alabama—Coffee - Alabama—Walker - Alabama—Colbert - Alabama—Chilton - Alabama—Jackson - Alabama—Dale - Alabama—Tallapoosa - Alabama—Covington - Alabama—Escambia - Alabama—Dallas - Alabama—Pike - Alabama—Franklin - Alabama—Chambers - Alabama—Lawrence - Alabama—Marion - Alabama—Geneva - Alabama—Cherokee - Alabama—Bibb - Alabama—Winston - Alabama—Randolph - Alabama—Barbour - Alabama—Clarke - Alabama—Henry - Alabama—Butler - Alabama—Pickens - Alabama—Cleburne - Alabama—Marengo - Alabama—Monroe - Alabama—Macon - Alabama—Clay - Alabama—Fayette - Alabama—Crenshaw - Alabama—Washington - Alabama—Lamar - Alabama—Hale - Alabama—Sumter - Alabama—Choctaw - Alabama—Bullock - Alabama—Coosa - Alabama—Conecuh - Alabama—Lowndes - Alabama—Wilcox - Alabama—Perry - Alabama—Greene - Alabama
- ISBN
- 9781071842294 Sage Data Premium: Woods and Poole
- Type of File/Data
- Statistical data with bibliographic citation and abstract.
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