Actions for Income and Wealth Metrics from the Complete U.S. Database - 2020 database shown in (in 2012 dollars) Date Type: Year; State: Maryland; Indicator: PROPRIETORS INCOME Sage Data. Sage Publishing Ltd Sage Data [electronic resource]
Income and Wealth Metrics from the Complete U.S. Database - 2020 database shown in (in 2012 dollars) Date Type: Year; State: Maryland; Indicator: PROPRIETORS INCOME 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 metrics associated with personal income and regional wealth and gross domestic product. Personal income is the income received by persons from all sources, that is, from participation in production, from both government and business transfer payments, and from government interest, which is treated like a transfer payment. Persons consist of individuals, nonprofit institutions serving individuals, private uninsured welfare funds, and private trust funds. Personal income is the sum of wages and salaries, other labor income, proprietors' income, rental income of persons, dividend income, personal interest income, and transfer payments less personal contributions for social insurance. The Woods & Poole Wealth Index is a measure of relative total personal income per capita weighted by the source of income. The Complete U.S. Database by Woods & Poole provides annual historical and projected estimates of population and economic variables across the US to 2050. All data 2019-2050 are projected. Woods & Poole uses historical data from the Bureau of Economic Analysis (BEA) and Census Bureau, both of which are part of the US Department of Commerce, to estimate its projections. Woods & Poole did not include a 2020 estimate of historical data, incorporating COVID-19, in the 2020 forecast because the data were unclear about what the estimate should be and because the long-term impact of an estimate could not be made reliably. 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 from 2019 to 2050 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—Shelby - Alabama—Baldwin - Alabama—Mobile - Alabama—Montgomery - Alabama—Tuscaloosa - Alabama—Lee - Alabama—Cullman - Alabama—Morgan - Alabama—Marshall - Alabama—Houston - Alabama—Lauderdale - Alabama—Etowah - Alabama—Limestone - Alabama—Saint Clair - Alabama—Elmore - Alabama—Coffee - Alabama—Calhoun - Alabama—De Kalb - Alabama—Dale - Alabama—Blount - Alabama—Colbert - Alabama—Walker - Alabama—Autauga - Alabama—Pike - Alabama—Chilton - Alabama—Jackson - Alabama—Talladega - Alabama—Tallapoosa - Alabama—Crenshaw - Alabama—Cherokee - Alabama—Winston - Alabama—Covington - Alabama—Franklin - Alabama—Russell - Alabama—Geneva - Alabama—Marion - Alabama—Dallas - Alabama—Lawrence - Alabama—Randolph - Alabama—Escambia - Alabama—Barbour - Alabama—Pickens - Alabama—Marengo - Alabama—Henry - Alabama—Butler - Alabama—Cleburne - Alabama—Clarke - Alabama—Chambers - Alabama—Clay - Alabama—Lowndes - Alabama—Bibb - Alabama—Hale - Alabama—Sumter - Alabama—Washington - Alabama—Bullock - Alabama—Wilcox - Alabama—Choctaw - Alabama—Perry - Alabama—Conecuh - Alabama—Monroe - Alabama—Greene - Alabama—Fayette - Alabama—Lamar - Alabama—Macon - Alabama—Coosa - Alabama
- ISBN
- 9781071842294 Sage Data Premium: Woods and Poole
- Type of File/Data
- Statistical data with bibliographic citation and abstract.
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