Census Bureau tabulated population data in each decennial census. Poverty data is available in American Community Survey (ACS) 5-Year Summary File. Population data shows increasing whereas the poverty data shows decreasing in Los Angeles County from 2000 census to 2020 census. This population Dashboard is created to display and visualize the population change in LA County during three decennial censuses 2000, 2010 and 2020.How population and poverty data by city and community are created?For population data, block centroids of 2000, 2010 and 2020 census blocks were intersected with the current city and community boundaries, and block-based population were aggregated by the current city and community boundaries. For poverty rate tract-based poverty data were extracted from ACS 5-YR Summary file, allocated to blocks by multiplying a tract-to-block allocation factor, and aggregated by the current city and community boundaries. These population and population below poverty level (below 100% FPL) data are based on current city/community boundaries and are created for general comparison purpose only. Since current city and community boundaries are different than those at 2000 and 2010 census due to annexation and incorporation of boundaries, the numbers should not be compared with those based on old city and community boundaries.
Population by U.S. Postal ZIP Code from the 2000 Decennial Census
Persons, households, and dwellings
UNITS IDENTIFIED: - Dwellings: yes - Vacant Units: Yes - Households: yes - Individuals: yes - Group quarters: yes
UNIT DESCRIPTIONS: - Dwellings: no - Households: Dwelling places excluding institutions and transient quarters. - Group quarters: No threshold was applied; in order for a household to be considered group quarters in 2000, it had to be on the list of group quarters that is continuously maintained by the Census Bureau.
Residents of the 50 states (not the outlying areas).
Population and Housing Census [hh/popcen]
MICRODATA SOURCE: U.S. Census Bureau
SAMPLE SIZE (person records): 14081466.
SAMPLE DESIGN: 1-in-20 national random sample drawn by the U.S. Census Bureau
Face-to-face [f2f]
The 2000 census used a long form questionnaire. Long Form Sampling Entities (LFSEs) were used to determine sampling rates. If the smallest LFSE that included all or any part of a block had an estimated housing unit count of less than 800, the housing units in the block were sampled at a 1-in-2 rate. If it had an estimated housing unit count of 800 or more but less than 1,200, units were sampled at a 1-in-4 rate. If a block was not in either of the two previous categories, and was part of an interim census tract with 2,000 or more estimated housing units, units were sampled at a 1-in-8 rate. Housing units in all remaining blocks were sampled at a 1-in-6 rate. When all sampling rates were taken into account across the nation, approximately 1 out of every 6 housing units was included in the Census 2000 sample.
detailed 2000 characteristics of people and housing for individual 2010 census tract portions inside or outside KCMO
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Summary File 2 contains 100-percent United States decennial Census data, which is the information compiled from the questions asked of all people and about every housing unit. Population items include sex, age, race, Hispanic or Latino origin, household relationship, and group quarters occupancy. Housing items include occupancy status, vacancy status, and tenure (owner-occupied or renter- occupied). The 100-percent data are presented in 36 population tables ("PCT") and 11 housing tables ("HCT") down to the census tract level. Each table is iterated for 250 population groups: the total population, 132 race groups, 78 American Indian and Alaska Native tribe categories (reflecting 39 individual tribes), and 39 Hispanic or Latino groups. The presentation of tables for any of the 250 population groups is subject to a population threshold of 100 or more people -- that is, if there were fewer than 100 people in a specific population group in a specific geographic area, their population and housing characteristics data are not available for that geographic area.
This data set represents 2000 population density by block group as a 100-m grid using data from the 2000 Census of Population and Housing. The demographic data is from CensusCD 2000 Short Form Blocks published by GeoLytics, E. Brunswick, NJ, which uses the 2000 Census Summary File 1 (SF 1). Grid cell values represent population density in people per square kilometer multiplied by 10 so that the data could be stored as integer.
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This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau to show total population counts and estimates by year, for 2000, 2010, and 2011-2015, by city in the state of Georgia.
Attributes:
NAME = Name of city or municipality
Acres = Area in acres
Sq_Miles = Area in square miles
County20 = Within ARC 20-county region
County10 = Within ARC 10-county region
Population_Change_2000_2010 = Population Change, 2000-2010 (Census)
Population_2000 = Total Population, 2000 Census
Population_2010 = Total Population, 2010 Census
Population_Estimate_2011 = Population Estimate, 2011
Population_Estimate_2012 = Population Estimate, 2012
Population_Estimate_2013 = Population Estimate, 2013
Population_Estimate_2014 = Population Estimate, 2014
Population_Estimate_2015 = Population Estimate, 2015
last_edited_date = Last date feature was edited by ARC
Source: U.S. Census Bureau, Atlanta Regional Commission
Date: 2000-2015
2000 Census include the following subjects: Population by Race Household by Type Housing Occupancy Housing Tenure Relationship Total Population by Race Total Population by Sex and Age 2000 Census data are available for state, reservation, county, place, tract, block and block group. Source: U.S. Census Bureau, 2000 Census
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Part of the Census 2000 geographic product series, Census Tract Relationship Files (CTRF) show how 1990 census tracts relate to 2000 census tracts. The files consist of one record for each 1990 census tract/2000 census tract spatial set. A spatial census tract set is defined as the area that is uniquely shared between a 1990 census tract and a 2000 census tract. The CTRF consist of sets of four files for each of the United States and territories. The purpose of these files is to assist users in determining the relationships between 1990 and 2000 census tracts. Two of these files are state-level entity-based census tract relationship files, one providing a measurement of change based on population, the second measures change using street-side mileage. The other two files specifically list census tracts that have experienced significant change (2.5 percent or greater): one from the perspective of 1990 census tracts, the other from the perspective of Census 2000. A set of files for the United States as a whole is also provided.
Total Populations of Counties, Towns, and Cities - 2000 and 2010
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
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Summary File 4 (SF 4) from the United States 2000 Census contains the sample data, which is the information compiled from the questions asked of a sample of all people and housing units. Population items include basic population totals: urban and rural, households and families, marital status, grandparents as caregivers, language and ability to speak English, ancestry, place of birth, citizenship status, year of entry, migration, place of work, journey to work (commuting), school enrollment and educational attainment, veteran status, disability, employment status, industry, occupation, class of worker, income, and poverty status. Housing items include basic housing totals: urban and rural, number of rooms, number of bedrooms, year moved into unit, household size and occupants per room, units in structure, year structure built, heating fuel, telephone service, plumbing and kitchen facilities, vehicles available, value of home, monthly rent, and shelter costs. In Summary File 4, the sample data are presented in 213 population tables (matrices) and 110 housing tables, identified with "PCT" and "HCT" respectively. Each table is iterated for 336 population groups: the total population, 132 race groups, 78 American Indian and Alaska Native tribe categories (reflecting 39 individual tribes), 39 Hispanic or Latino groups, and 86 ancestry groups. The presentation of SF4 tables for any of the 336 population groups is subject to a population threshold. That is, if there are fewer than 100 people (100-percent count) in a specific population group in a specific geographic area, and there are fewer than 50 unweighted cases, their population and housing characteristics data are not available for that geographic area in SF4. For the ancestry iterations, only the 50 unweighted cases test can be performed. See Appendix H: Characteristic Iterations, for a complete list of characteristic iterations.
Population by Age, Sex and Ethnicity by City of San Diego Council District from the 2000 Decennial Census
TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER data base. The geographic coverage for a single TIGER/Line file is a county or statistical equivalent entity, with the coverage area based on January 1, 2000 legal boundaries. A complete set of Redistricting Census 2000 TIGER/Line files includes all counties and statistically equivalent entities in the United States and Puerto Rico. The Redistricting Census 2000 TIGER/Line files will not include files for the Island Areas. The Census TIGER data base represents a seamless national file with no overlaps or gaps between parts. However, each county-based TIGER/Line file is designed to stand alone as an independent data set or the files can be combined to cover the whole Nation. The Redistricting Census 2000 TIGER/Line files consist of line segments representing physical features and governmental and statistical boundaries. The Redistricting Census 2000 TIGER/Line files do NOT contain the ZIP Code Tabulation Areas (ZCTAs) and the address ranges are of approximately the same vintage as those appearing in the 1999 TIGER/Line files. That is, the Census Bureau is producing the Redistricting Census 2000 TIGER/Line files in advance of the computer processing that will ensure that the address ranges in the TIGER/Line files agree with the final Master Address File (MAF) used for tabulating Census 2000. The files contain information distributed over a series of record types for the spatial objects of a county. There are 17 record types, including the basic data record, the shape coordinate points, and geographic codes that can be used with appropriate software to prepare maps. Other geographic information contained in the files includes attributes such as feature identifiers/census feature class codes (CFCC) used to differentiate feature types, address ranges and ZIP Codes, codes for legal and statistical entities, latitude/longitude coordinates of linear and point features, landmark point features, area landmarks, key geographic features, and area boundaries. The Redistricting Census 2000 TIGER/Line data dictionary contains a complete list of all the fields in the 17 record types.
Population by City of San Diego Council District from the 2000 Decennial Census
This is a polygon dataset for county boundaries as well as for cities, township and unorganized territory (CTU) boundaries in the Twin Cities 7-county metropolitan area as of April 2000. This dataset will be kept static as of this date to be used with 2000 census data and other year 2000 data.
This dataset is composed of three shape files and a lookup table.
Census2000Counties.shp = county boundaries
Census2000CTUs.shp = city, township and unorganized territory boundaries
Census2000CountiesAndCTUs.shp = combined county and CTU boundaries
Census2000CountyCTULookupTable.dbf = a lookup table containing various data related to cities, townships, unorganized territories and any divisions created by county boundaries splitting them.
NOTES:
- The five digit CTU codes in this dataset are identical to the Federal Information Processing Standard (FIPS) ''Place'' codes. They are also used by the Census Bureau and many other organizations and are proposed as a MN state data coding standard.
- Cities and townships have also been referred to as ''MCDs'' (a census term), however this term technically refers to the part of each city or township within a single county. Thus, a few cities in the metro area that are split by county boundaries are actually comprised of two different MCDs. This was part of the impetus for a proposed MN state data standard that uses the ''CTU'' terminology for clarity.
- The boundary line data for this dataset comes primarily from each county, with MN/DOT data being used in Anoka County.
- A variety of civil divisions of the land exist within the United States. In Minnesota, only three types exist - cities, townships and unorganized territories. All three of these exist within the Twin Cities seven county area. The only unorganized territory is Fort Snelling (a large portion of which is occupied by the MSP International Airport).
- Some cities are split between two counties. Only those parts of cities within the 7-county area are included.
- Prior to the 2000 census, the FIPS Place code for the City of Greenwood in Hennepin County was changed from 25928 to 25918. This dataset reflects that change to match 2000 U.S. Census data.
Population by Sex by San Diego Region from the 2000 Decennial Census
As part of the Census 2000 geographic product series, the Census Bureau has produced Census Tract Relationship Files. (In previous censuses, this product was called a comparability file.) These files show how 1990 census tracts relate to Census 2000 census tracts. The files will consist of one record per each 1990 census tract/2000 census tract spatial set. A spatial census tract set is defined as the area that is uniquely shared between a 1990 census tract and a 2000 census tract. The Census Tract Relationship Files consist of four sets of files. The purpose of these files is to assist users in determining the relationships between 1990 and 2000 census tracts. Two of these files are state-level entity based census tract relationship files. One file provides a measurement of change based on population; a second measures change using street-side mileage. The other two files specifically list census tracts that have experienced significant change: one file from the perspective of 1990 census tracts, the other from the perspective of Census 2000. All four census tract relationship files will be available for each state-level entity as well as at the national level. The Census 2000 census tract relationship files are in fixed length ASCII format. The two census tract relationship files consist of one record per each 1990 census tract/2000 census tract spatial set. A spatial census tract set is defined as the area that is uniquely shared between a 1990 census tract and a 2000 census tract. The two files of significantly changed census tracts consist only of a list of census tracts that exhibited a change of 2.5-percent or greater. The current release includes 56 sets of files, one set for each of the 50 states plus separate files for the District of Columbia, Puerto Rico, American Samoa, Guam, the Northern Mariana Islands, and the U.S. Virgin Islands.
Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR13287.v1. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.
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This data collection contains information compiled from the questions asked of a sample of persons and housing units enumerated in Census 2000. Population items include sex, age, race, Hispanic or Latino origin, type of living quarters (household/group quarters), urban/rural status, household relationship, marital status, grandparents as caregivers, language and ability to speak English, ancestry, place of birth, citizenship status and year of entry into the United States, migration, place of work, journey to work (commuting), school enrollment and educational attainment, veteran status, disability, employment status, occupation and industry, class of worker, income, and poverty status. Housing items include vacancy status, tenure (owner/renter), number of rooms, number of bedrooms, year moved into unit, household size, occupants per room, number of units in structure, year structure was built, heating fuel, telephone service, plumbing and kitchen facilities, vehicles available, value of home, and monthly rent. With subject content identical to that provided in Summary File 3, the information is presented in 813 tables which are tabulated for every upper and lower chamber state legislative district and smaller geographic units within the districts: counties, county subdivisions, places, consolidated cities, and American Indian Areas/Alaska Native Areas/Hawaiian Home Lands. There is one variable per table cell, plus additional variables with geographic information. Like Summary File 3, the collection contains 4,004 data files:77 for each state, the District of Columbia, and Puerto Rico. The collection is supplied in 54 ZIP archives. There is a separate ZIP file for each state, the District of Columbia, and Puerto Rico, and for the convenience of those who need all of the data, a separate ZIP archive with all 4,004 data files. The codebook and other documentation are located in the last ZIP archive.
ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
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This polygon layer contains the boundaries of the 30 census tracts that make up the City of Cambridge for the 2000 Census.Explore all our data on the Cambridge GIS Data Dictionary.Attributes NameType DetailsDescription TRACTID type: Stringwidth: 10precision: 0 Unique 4-digit tract ID
SHAPE type: Stringwidth: 5precision: 0 Feature geometry.
FIPSSTCO type: Stringwidth: 6precision: 0 Federal Information Processing Standards Code for state and county (MA=25; Middlesex County=017)
TRT2000 type: Doublewidth: 0precision: 0 Unique 4-digit tract ID plus 00 used in some Census data files
Census Bureau tabulated population data in each decennial census. Poverty data is available in American Community Survey (ACS) 5-Year Summary File. Population data shows increasing whereas the poverty data shows decreasing in Los Angeles County from 2000 census to 2020 census. This population Dashboard is created to display and visualize the population change in LA County during three decennial censuses 2000, 2010 and 2020.How population and poverty data by city and community are created?For population data, block centroids of 2000, 2010 and 2020 census blocks were intersected with the current city and community boundaries, and block-based population were aggregated by the current city and community boundaries. For poverty rate tract-based poverty data were extracted from ACS 5-YR Summary file, allocated to blocks by multiplying a tract-to-block allocation factor, and aggregated by the current city and community boundaries. These population and population below poverty level (below 100% FPL) data are based on current city/community boundaries and are created for general comparison purpose only. Since current city and community boundaries are different than those at 2000 and 2010 census due to annexation and incorporation of boundaries, the numbers should not be compared with those based on old city and community boundaries.