These data are estimates of the resident population of the counties in the United States. Part 1 provides county population estimates by five-year age category (ages 0-4, 5-9, etc.), sex, and modified race/Hispanic origin. Data in Part 2 are presented by single-year age (under 1 year, 1 year, ..., 84 years, 85 years and over) and sex. Part 3 contains estimates of the state total and the counties of each state by modified race and Hispanic origin. The estimates are for July 1st of each year during 1990-1996.

This dataset contains county population in Iowa from 1990 to the most current year available. Data from 1990, 2000, and 2010 comes from the decennial censuses while the years in between are produced annually.

This data set provides the annual population of counties and states calculated from decennial U.S. censuses conducted from 1890-1950 and the Census Bureau’s annual projections of state population growth. The primary sources are “Population of States and Counties of the United States: 1790-1990,” published by the U.S. Bureau of the Census (1966); “Census U.S. Decennial County Population Data, 1900-1990” published by the NBER (2007); “Historical Statistics of Hawaii,” published by University Press of Hawaii (1977); and “Annual Estimates of the Population for the U.S. and States,” published by the U.S. Bureau of the Census from 1890 to 1950. The digitized, transparent, and consistent nature of this data and provides numerous benefits, including ease of access and greater potential for analysis.

Intercensal and postcensal population estimates for the state, counties and cities, 1990 to present.

This polygon dataset represents county boundaries and population data in China from the 1990 Census. This dataset also includes detailed demographic data such as: sex and age statistics, litteracy, employment, professions, marital status, births, death, and immigration. These data were primarily based on the "The Administrative Maps of the People's Republic of China, published by China Map Press.

The MARS file contains modified race and age data based on the 1990 Census. Both race and age are tabulated by sex and Hispanic origin for several layers of geography. The race data were modified to make reporting categories comparable to those used by state and local agencies. The 1990 Census included 9,804,847 persons who checked the "other race" category and were therefore not included in one of the 15 racial categories listed on the Census form. "Other race" is usually not an acceptable reporting category for state and local agencies. Therefore, the Census Bureau assigned each "other race" person to the specified race reported by another person geographically close with an identical response to the Hispanic-origin question. Hispanic origin was taken into account because over 95 percent of the "other race" persons were of Hispanic origin. (Hispanic-origin persons may be of any race.) The assignment of race to Hispanic-origin persons did not affect the Hispanic-origin category that they checked (i.e, Mexican, Puerto Rican, Cuban, etc.). Age data were modified because respondents tended to report age as of the date they completed the 1990 questionnaire, instead of age as of the April 1, 1990 Census date. In addition, there may have been a tendency for respondents to round up their age if they were close to having a birthday. Age data for individuals in households were modified by adjusting the reported birth-year data by race and sex for each of the 1990 Census's 449 district offices to correspond with the national level quarterly distribution of births available from the National Center for Health Statistics. The data for persons in group quarters were adjusted similarly, but on a state basis. The age adjustment affects approximately 100 million people. In this file their adjusted age is one year different from that reported in the 1990 Census.

VITAL SIGNS INDICATOR Population (LU1)

FULL MEASURE NAME Population estimates

LAST UPDATED October 2019

DESCRIPTION Population is a measurement of the number of residents that live in a given geographical area, be it a neighborhood, city, county or region.

DATA SOURCES U.S Census Bureau: Decennial Census No link available (1960-1990) http://factfinder.census.gov (2000-2010)

California Department of Finance: Population and Housing Estimates Table E-6: County Population Estimates (1961-1969) Table E-4: Population Estimates for Counties and State (1971-1989) Table E-8: Historical Population and Housing Estimates (2001-2018) Table E-5: Population and Housing Estimates (2011-2019) http://www.dof.ca.gov/Forecasting/Demographics/Estimates/

U.S. Census Bureau: Decennial Census - via Longitudinal Tract Database Spatial Structures in the Social Sciences, Brown University Population Estimates (1970 - 2010) http://www.s4.brown.edu/us2010/index.htm

U.S. Census Bureau: American Community Survey 5-Year Population Estimates (2011-2017) http://factfinder.census.gov

U.S. Census Bureau: Intercensal Estimates Estimates of the Intercensal Population of Counties (1970-1979) Intercensal Estimates of the Resident Population (1980-1989) Population Estimates (1990-1999) Annual Estimates of the Population (2000-2009) Annual Estimates of the Population (2010-2017) No link available (1970-1989) http://www.census.gov/popest/data/metro/totals/1990s/tables/MA-99-03b.txt http://www.census.gov/popest/data/historical/2000s/vintage_2009/metro.html https://www.census.gov/data/datasets/time-series/demo/popest/2010s-total-metro-and-micro-statistical-areas.html

CONTACT INFORMATION vitalsigns.info@bayareametro.gov

METHODOLOGY NOTES (across all datasets for this indicator) All legal boundaries and names for Census geography (metropolitan statistical area, county, city, and tract) are as of January 1, 2010, released beginning November 30, 2010, by the U.S. Census Bureau. A Priority Development Area (PDA) is a locally-designated area with frequent transit service, where a jurisdiction has decided to concentrate most of its housing and jobs growth for development in the foreseeable future. PDA boundaries are current as of August 2019. For more information on PDA designation see http://gis.abag.ca.gov/website/PDAShowcase/.

Population estimates for Bay Area counties and cities are from the California Department of Finance, which are as of January 1st of each year. Population estimates for non-Bay Area regions are from the U.S. Census Bureau. Decennial Census years reflect population as of April 1st of each year whereas population estimates for intercensal estimates are as of July 1st of each year. Population estimates for Bay Area tracts are from the decennial Census (1970 -2010) and the American Community Survey (2008-2012 5-year rolling average; 2010-2014 5-year rolling average; 2013-2017 5-year rolling average). Estimates of population density for tracts use gross acres as the denominator.

Population estimates for Bay Area PDAs are from the decennial Census (1970 - 2010) and the American Community Survey (2006-2010 5 year rolling average; 2010-2014 5-year rolling average; 2013-2017 5-year rolling average). Population estimates for PDAs are derived from Census population counts at the tract level for 1970-1990 and at the block group level for 2000-2017. Population from either tracts or block groups are allocated to a PDA using an area ratio. For example, if a quarter of a Census block group lies with in a PDA, a quarter of its population will be allocated to that PDA. Tract-to-PDA and block group-to-PDA area ratios are calculated using gross acres. Estimates of population density for PDAs use gross acres as the denominator.

Annual population estimates for metropolitan areas outside the Bay Area are from the Census and are benchmarked to each decennial Census. The annual estimates in the 1990s were not updated to match the 2000 benchmark.

The following is a list of cities and towns by geographical area: Big Three: San Jose, San Francisco, Oakland Bayside: Alameda, Albany, Atherton, Belmont, Belvedere, Berkeley, Brisbane, Burlingame, Campbell, Colma, Corte Madera, Cupertino, Daly City, East Palo Alto, El Cerrito, Emeryville, Fairfax, Foster City, Fremont, Hayward, Hercules, Hillsborough, Larkspur, Los Altos, Los Altos Hills, Los Gatos, Menlo Park, Mill Valley, Millbrae, Milpitas, Monte Sereno, Mountain View, Newark, Pacifica, Palo Alto, Piedmont, Pinole, Portola Valley, Redwood City, Richmond, Ross, San Anselmo, San Bruno, San Carlos, San Leandro, San Mateo, San Pablo, San Rafael, Santa Clara, Saratoga, Sausalito, South San Francisco, Sunnyvale, Tiburon, Union City, Vallejo, Woodside Inland, Delta and Coastal: American Canyon, Antioch, Benicia, Brentwood, Calistoga, Clayton, Cloverdale, Concord, Cotati, Danville, Dixon, Dublin, Fairfield, Gilroy, Half Moon Bay, Healdsburg, Lafayette, Livermore, Martinez, Moraga, Morgan Hill, Napa, Novato, Oakley, Orinda, Petaluma, Pittsburg, Pleasant Hill, Pleasanton, Rio Vista, Rohnert Park, San Ramon, Santa Rosa, Sebastopol, Sonoma, St. Helena, Suisun City, Vacaville, Walnut Creek, Windsor, Yountville Unincorporated: all unincorporated towns

This data collection includes revised estimates of the population of the 3,141 counties in the United States as defined in the 1990 Census. Data are grouped by five-year age category (ages 0-4, 5-9, etc.), sex, and modified race (White, Black, other) for each year from 1980 to 1989, beginning with July 1, 1980. The revised estimates were developed by interpolating from modified Decennial Census files for both 1980 and 1990.

This collection contains two types of records. Record 1 provides the number of workers identified by county of residence and county of employment. In the case of the six New England states (Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, and Vermont), cities and towns rather than counties are the unit of geography. Record 2 correlates the metropolitan area codes used in Record 1 with their alphabetic names and Metropolitan Statistical Area/Primary Metropolitan Statistical Area (MSA/PMSA) designations.

This dataset is published by the Research & Analytics Group at the Atlanta Regional Commission to show population change by utilizing the 2020 redistricting data and comparable data for 2010, 2000, and 1990 across multiple geographies for the State of Georgia. For a deep dive into the data model including every specific metric, see the Data Manifest. The manifest details ARC-defined naming conventions, names/descriptions and topics where applicable, summary levels; source tables; notes and so forth for all metrics.

It should be noted:The 2020 redistricting release is not as detailed in terms of data compared to ACS estimates; data include total population, population by race and ethnicity, and "voting age" population (i.e., adults) by race and ethnicity, adults are subtracted from the total population to show children (ages 0-17); total number of housing units, occupied housing units, and vacant housing units. Percent and change measures are calculated over four different Censuses.These data are expressed in terms of 2020 geographies such as the new 2020 Census tracts. This means that that historical data for geographies like cities have been estimated to the 2020 boundaries. For example, the city of Atlanta, which has made multiple annexations since 1990, has a higher estimated 1990 population of 400,452 (2020 boundaries) than the 394,017 reported in the 1990 Census (1990 boundaries).Due to changes in block geographies and annexations, 2010 population totals for custom geographies such as City of Atlanta NSAs may differ slightly from the numbers we have published in the past.The procedure to re-estimate historical data to 2020 blocks often results in fractional population (e.g., 1.25 instead of 1 or 2). Counts have been rounded to the nearest whole, but to be more precise, all aggregation, percent, and change measures were performed pre-rounding. Some change measures may appear curious as a result. For example, 100.4 - 20.8 = 79.6 which rounds to 80. But if rounded first, 100.4 rounds down to 100, 20.8 rounds up to 21; 100 - 21 = 79.Asian and Pacific Islander categories are combined to maximize compatibility with the 1990 release, which reported the two groups as a single category. Caution should be exercised with 1990 race data because the Census Bureau changed to the current system (which allows people to identify as biracial or multiracial) starting only in 2000.The "other" race category includes American Indian and Alaska Natives, people identifying with "some other race" and (for 2000 forward), people who identify as biracial or multiracial.For more information regarding Decennial Census source data, visit 2020 Census website

Population density in 1990 within the boundaries of the Narragansett Bay watershed, the Southwest Coastal Ponds watershed, and the Little Narragansett Bay watershed. The methods for analyzing population were developed by the US Environmental Protection Agency ORD Atlantic Coastal Environmental Sciences Division in collaboration with the Narragansett Bay Estuary Program and other partners. Population rasters were generated using the USGS dasymetric mapping tool (see http://geography.wr.usgs.gov/science/dasymetric/index.htm) which uses land use data to distribute population data more accurately than simply within a census mapping unit. The 1990 10m cell population density raster was produced using Rhode Island 1988 state land use data, Massachusetts 1985 state land use, Connecticut 1992 NLCD land use data, and U.S. Census data (1990). To generate a population estimate (number of persons) for any given area within the boundaries of this raster, use the Zonal Statistics as Table tool to sum the 10m cell density values within your zone dataset (e.g., watershed polygon layer). For more information, please reference the 2017 State of Narragansett Bay & Its Watershed Technical Report (nbep.org).

This data collection provides detailed tabulations of 100-percent data items from the 1990 Census of Population and Housing. These tabulations are presented for states, counties, places with 1,000 or more persons, county subdivisions with 1,000 or more persons (selected states), county subdivisions with fewer than 1,000 persons in Metropolitan Statistical Areas/Consolidated MSAs (MSAs/CMSAs) (selected states), and state and county portions of Native American and Alaskan Native areas. Population items include age, race, sex, marital status, Hispanic origin, household type, and household relationship. Housing items include occupancy/vacancy status, tenure, units in structure, contract rent, meals included in rent, value, and number of rooms in housing unit. Crosstabulations include variables such as single year of age by sex, tenure by age of householder, age by group quarters, aggregate value by units in structure, and tenure by number of nonrelatives. The dataset contains both "A" and "B" records. "A" records are provided for each summary level in a geographic area, and are repeated for each geographic component. "B" records repeat the same data for each summary level/geographic component combination, but are tabulated for each of 34 categories of race and Hispanic origin.

Intercensal Estimates of the Resident Population by Age Groups, Race by Sex, and Hispanic Origin for Counties: July 1, 1990 to July 1, 1999 // Source: U.S. Census Bureau, Population Division // For detailed information about the methods used to create the intercensal population estimates, see https://www.census.gov/popest/methodology/intercensal_nat_meth.pdf. // The Census Bureau's Population Estimates Program produces intercensal estimates each decade by adjusting the existing time series of postcensal estimates for a decade to smooth the transition from one decennial census count to the next. They differ from the postcensal estimates that are released annually because they rely on a formula that redistributes the difference between the April 1 postcensal estimate and April 1 census count for the end of the decade across the estimates for that decade. Meanwhile, the postcensal estimates incorporate current data on births, deaths, and migration to produce each new vintage of estimates, and to revise estimates for years back to the last census. The Population Estimates Program provides additional information including historical and postcensal estimates, evaluation estimates, demographic analysis, and research papers on its website: https://www.census.gov/popest/index.html.

The Census Bureau has created a special subset file from the 1990 Census of Population and Housing data designed to meet the needs of Equal Employment Opportunity (EEO) and affirmative action planning. It contains detailed 1990 Census data dealing with occupation and educational attainment for the civilian labor force, various racial groups, and the Hispanic population. The file consists of four tabulations of the United States civilian labor force. They present EEO data similar to those in the CENSUS OF POPULATION AND HOUSING, 1990 [UNITED STATES]: EQUAL EMPLOYMENT OPPORTUNITY (EEO) FILE (ICPSR 9929), but are expanded to include occupation data by education level, industry group, and earnings. Total population and unemployment data are also available. They are referred to as Tables P1-P4. Table P1 lists occupation by education by sex by race and Hispanic origin. Table P2 lists occupation by earnings by sex by race and Hispanic origin. Table P3 lists occupation by industry by sex by race and Hispanic origin. Table P4 lists population and unemployment by sex by race and Hispanic origin. The collection includes four United States files and 51 separate files, one for each state and Washington, DC. Each state file contains statistics for the state, each county, Standard Metropolitan Statistical Areas (SMSAs), and places with a population of 50,000 or more.

Public Law 94-171, enacted in 1975, requires the Census Bureau to provide redistricting data in a format requested by state governments. Within one year following the 1990 decennial Census (by April 1, 1991), the Census Bureau provided the governor and legislature of each state with the population data needed to redraw legislative districts. This collection contains the same substantive and geographic variables as the original Public Law 94-171 files [see CENSUS OF POPULATION AND HOUSING, 1990 [UNITED STATES]: PUBLIC LAW (P.L.) 94-171 DATA (ICPSR 9516)] but with the population counts adjusted for undernumeration. Adjusted Public Law 94-171 counts are supplied for a sample of one-half of blocks in the United States and a complete selection of areas with 1,000 or more persons. Each state file provides data for the state and its subareas in the following order: state, county, voting district, county subdivision, place, and block. Additionally, complete summaries are provided for the following geographic areas: county subdivision, place, consolidated city, state portion of American Indian and Alaska Native area, and county portion of American Indian and Alaska Native area. Area characteristics such as land area, water area, latitude, and longitude are provided. Summary statistics are provided for all persons, for persons 18 years old and over, and for housing units in the geographic areas. Counts by race and by Hispanic and non-Hispanic origin are also recorded.

The table North Carolina county population estimates, 1990-1999 is part of the dataset US Census 1990-2010 County Population Estimates, available at https://redivis.com/datasets/2m6q-2g7hpwbvd. It contains 1100 rows across 37 variables.

This dataset covers the population in the US at the county level from 1990 to 2020, including numbers based on race, origin, gender, and 19 age groups (<1, 1-4, ..., 80-84, 85+).

NOTE: The population for the year 2005 is adjusted to account for shifts due to hurricanes Katrina (August 29) and Rita (September 24).

check https://github.com/guillelozabala/masters_thesis/blob/main/data/county_demographics.py to see how the dataset is built.

Dataset contains population estimates for each county in the US for the following years: 1990, 2000, 2010, 2020, 2021. Available in Dataset contains number of employed, unemployed, civilian labor force, and unemployment rate for every year (2000-2021) for every county in the US. Available in https://www.ers.usda.gov/data-products/county-level-data-sets/county-level-data-sets-download-data/

This data set represents 1990 population density by block group as a 100-m grid using data from the 1990 Census of Population and Housing (Public Law 94-171 redistricting data). Grid cell values represent population density in people per square kilometer multiplied by 10 so that the data could be stored as integer.

From https://www.census.gov/hhes/commuting/data/jtw_workerflow.html as of March 29, 2017:These files were compiled from STF-S-5, Census of Population 1990: Number of Workers by County of Residence by County of Work [http://doi.org/10.3886/ICPSR06123.v1]. For the six New England States (CT, ME, MA, NH, RI, VT), data are provided for Minor Civil Divisions (MCDs) instead of for counties.For any State, or for the entire nation, there are four files to choose from, depending on the sort order and format you may find most useful.The sort order refers to whether the county of residence or the county of work is the main focus. If you are most interested in the number of people who live in a county, and want to know where they go to work, you should download one of the files sorted by county of residence. These files will show you all the work destinations for people who live in each county.On the other hand, if you are most interested in the people who work in a county, and want to know where they come from, you should download one of the files sorted by county of work. These files will show you all the origins for people who work in each county.The files have also been created in two formats: DBF and ASCII. The DBF files are directly accessible by a number of database, spreadsheet, and geographic information system programs. The ASCII files are more general purpose and may be imported into many software applications.Record Layouts Record Layout for ASCII (Plain Text) Files [TXT - 2K] coxcoasc.txtRecord Layout for DBF Files [TXT - 2K]coxcodbf.txtThe link to the FIPS Lookup File [ed.: absent when archived] can be used to access a list of FIPS State codes and the corresponding State names. In the county-to-county worker flow files, only the State codes are used. The files do not contain State names.United States county-to-county worker flow files: 1990 Residence County USresco.txt USresco.zip USresco.dbf USresco.dbf.zipWork County USwrkco.txt USwrkco.zip USwrkco.dbf USwrkco.dbf.zip [Ed.: the original site also had state files. These were not downloaded, as they simply split the United States file into smaller chunks.]