100+ datasets found
  1. a

    2010 Population Density in the United States

    • hub.arcgis.com
    Updated May 27, 2017
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    ArcGIS Living Atlas Team (2017). 2010 Population Density in the United States [Dataset]. https://hub.arcgis.com/maps/bd27b64a3274493d900606a62c6137da
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    Dataset updated
    May 27, 2017
    Dataset authored and provided by
    ArcGIS Living Atlas Team
    Area covered
    Description

    This map shows the population density and total population in the United States in 2010. This is shown by state, county, tract, and block group. The color shows the population per square mile (population density), while the size of each feature shows the total population living there. This is a valuable way to represent population by understanding the quantity and density of the people living there. Areas with high population density are more tightly packed, while low population density means the population is more spread out.The map shows this pattern for states, counties, tracts, and block groups. There is increasing geographic detail as you zoom in, and only one geography is configured to show at any time. The data source is the US Census Bureau, and the vintage is 2010. The original service and data metadata can be found here.

  2. Population density in the U.S. 2023, by state

    • statista.com
    • akomarchitects.com
    Updated Sep 21, 2024
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    Statista (2024). Population density in the U.S. 2023, by state [Dataset]. https://www.statista.com/statistics/183588/population-density-in-the-federal-states-of-the-us/
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    Dataset updated
    Sep 21, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    In 2023, Washington, D.C. had the highest population density in the United States, with 11,130.69 people per square mile. As a whole, there were about 94.83 residents per square mile in the U.S., and Alaska was the state with the lowest population density, with 1.29 residents per square mile. The problem of population density Simply put, population density is the population of a country divided by the area of the country. While this can be an interesting measure of how many people live in a country and how large the country is, it does not account for the degree of urbanization, or the share of people who live in urban centers. For example, Russia is the largest country in the world and has a comparatively low population, so its population density is very low. However, much of the country is uninhabited, so cities in Russia are much more densely populated than the rest of the country. Urbanization in the United States While the United States is not very densely populated compared to other countries, its population density has increased significantly over the past few decades. The degree of urbanization has also increased, and well over half of the population lives in urban centers.

  3. a

    2010 Total Population in the United States

    • hub.arcgis.com
    Updated Jul 17, 2017
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    ArcGIS Living Atlas Team (2017). 2010 Total Population in the United States [Dataset]. https://hub.arcgis.com/maps/488c996049864d3db6bd93a8e7f9d36d
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    Dataset updated
    Jul 17, 2017
    Dataset authored and provided by
    ArcGIS Living Atlas Team
    Area covered
    Description

    This map shows the total population in the United States in 2010. This is shown by state, county, tract, and block group. The size of the circles represent the amount of people living within an area. The map shows this pattern for states, counties, tracts, and block groups. There is increasing geographic detail as you zoom in, and only one geography is configured to show at any time. The data source is the US Census Bureau, and the vintage is 2010. The original service and data metadata can be found here.

  4. Census of Population and Housing, 2000 [United States]: 1998 Dress...

    • icpsr.umich.edu
    ascii
    Updated Jan 12, 2006
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    United States. Bureau of the Census (2006). Census of Population and Housing, 2000 [United States]: 1998 Dress Rehearsal, P.L. 94-171 Redistricting Data, Geographic Files for 11 Counties in South Carolina, Sacramento, California, and Menominee County, Wisconsin [Dataset]. http://doi.org/10.3886/ICPSR02913.v1
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    asciiAvailable download formats
    Dataset updated
    Jan 12, 2006
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    United States. Bureau of the Census
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/2913/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/2913/terms

    Time period covered
    1998
    Area covered
    South Carolina, Columbia, Sacramento, California, Wisconsin, South Carolina, United States
    Description

    The 1998 Dress Rehearsal was conducted as a prelude to the United States Census of Population and Housing, 2000, in the following locations: (1) Columbia, South Carolina, and surrounding areas, including the town of Irmo and the counties of Chester, Chesterfield, Darlington, Fairfield, Kershaw, Lancaster, Lee, Marlboro, Newberry, Richland, and Union, (2) Sacramento, California, and (3) Menominee County, Wisconsin, including the Menominee American Indian Reservation. This collection contains map files showing various levels of geography (in the form of Census Tract Outline Maps, Voting District/State Legislative District Outline Maps, and County Block Maps), TIGER/Line digital files, and Corner Point files for the Census 2000 Dress Rehearsal sites. The Corner Point data files contain the bounding latitude and longitude coordinates for each individual map sheet of the 1998 Dress Rehearsal Public Law (P.L.) 94-171 map products. These files include a sheet identifier, minimum and maximum longitude, minimum and maximum latitude, and the map scale (integer value) for each map sheet. The latitude and longitude coordinates are in decimal degrees and expressed as integer values with six implied decimal places. There is a separate Corner Point File for each of the three map types: County Block Map, Census Tract Outline Map, and Voting District/State Legislative District Outline Map. Each of the three map file types is provided in two formats: Portable Document Format (PDF), for viewing, and Hewlett-Packard Graphics Language (HP-GL) format, for plotting. The County Block Maps show the greatest detail and the most complete set of geographic information of all the maps. These large-scale maps depict the smallest geographic entities for which the Census Bureau presents data -- the census blocks -- by displaying the features that delineate them and the numbers that identify them. These maps show the boundaries, names, and codes for American Indian/Alaska Native areas, county subdivisions, places, census tracts, and, for this series, the geographic entities that the states delineated in Phase 2, Voting District Project, of the Redistricting Data Program. The HP-GL version of the County Block Maps is broken down into index maps and map sheets. The map sheets cover a small area, and the index maps are composed of multiple map sheets, showing the entire area. The intent of the County Block Map series is to provide a map for each county on the smallest possible number of map sheets at the maximum practical scale, dependent on the area size of the county and the density of the block pattern. The latter affects the display of block numbers and feature identifiers. The Census Tract Outline Maps show the boundaries and numbers of census tracts, and name the features underlying the boundaries. These maps also show the boundaries and names of counties, county subdivisions, and places. They identify census tracts in relation to governmental unit boundaries. The mapping unit is the county. These large-format maps are produced to support the P.L. 94-171 program and all other 1998 Dress Rehearsal data tabulations. The Voting District/State Legislative District Outline Maps show the boundaries and codes for voting districts as delineated by the states in Phase 2, Voting District Project, of the Redistricting Data Program. The features underlying the voting district boundaries are shown, as well as the names of these features. Additionally, for states that submit the information, these maps show the boundaries and codes for state legislative districts and their underlying features. These maps also show the boundaries of and names of American Indian/Alaska Native areas, counties, county subdivisions, and places. The scale of the district maps is optimized to keep the number of map sheets for each area to a minimum, but the scale and number of map sheets will vary by the area size of the county and the voting districts and state legislative districts delineated by the states. The Census 2000 Dress Rehearsal TIGER/Line Files consist of line segments representing physical features and governmental and statistical boundaries. The files contain information distributed over a series of record types for the spatial objects of a county. These TIGER/Line Files are an extract of selected geographic and cartographic information from the Census TIGER (Topological

  5. K

    US Places (Population 100K - 250K)

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Feb 1, 2001
    + more versions
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    US Bureau of Transportation Statistics (BTS) (2001). US Places (Population 100K - 250K) [Dataset]. https://koordinates.com/layer/22831-us-places-population-100k-250k/
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    geopackage / sqlite, pdf, dwg, csv, kml, shapefile, geodatabase, mapinfo mif, mapinfo tabAvailable download formats
    Dataset updated
    Feb 1, 2001
    Dataset authored and provided by
    US Bureau of Transportation Statistics (BTS)
    Area covered
    Description

    This data set includes cities in the United States, Puerto Rico and the U.S. Virgin Islands. These cities were collected from the 1970 National Atlas of the United States. Where applicable, U.S. Census Bureau codes for named populated places were associated with each name to allow additional information to be attached. The Geographic Names Information System (GNIS) was also used as a source for additional information. This is a revised version of the December, 2003, data set.

    This layer is sourced from maps.bts.dot.gov.

  6. USA states GeoJson

    • kaggle.com
    zip
    Updated Aug 18, 2020
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    Kate Gallo (2020). USA states GeoJson [Dataset]. https://www.kaggle.com/pompelmo/usa-states-geojson
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    zip(30298 bytes)Available download formats
    Dataset updated
    Aug 18, 2020
    Authors
    Kate Gallo
    Area covered
    United States
    Description

    Context

    I created a dataset to help people create choropleth maps of United States states.

    Content

    One geojson to plot the countries borders, and one csv from the Census Bureau for the us population per state.

    Inspiration

    I think the best way to use this dataset is in joining it with other data. For example, I used this dataset to plot police killings using the data from https://www.kaggle.com/jpmiller/police-violence-in-the-us

  7. U.S. projected state population by state 2040

    • statista.com
    Updated Nov 28, 2025
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    Statista (2025). U.S. projected state population by state 2040 [Dataset]. https://www.statista.com/statistics/312714/us-projected-state-population-by-state/
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    Dataset updated
    Nov 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 2024
    Area covered
    United States
    Description

    According to a population projection based on 2020 Census Data, in 2040, California's population will amount to ***** million inhabitants.

  8. Population of the United States 1500-2100

    • statista.com
    • botflix.ru
    • +1more
    Updated Nov 28, 2025
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    Statista (2025). Population of the United States 1500-2100 [Dataset]. https://www.statista.com/statistics/1067138/population-united-states-historical/
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    Dataset updated
    Nov 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In the past four centuries, the population of the Thirteen Colonies and United States of America has grown from a recorded 350 people around the Jamestown colony in Virginia in 1610, to an estimated 346 million in 2025. While the fertility rate has now dropped well below replacement level, and the population is on track to go into a natural decline in the 2040s, projected high net immigration rates mean the population will continue growing well into the next century, crossing the 400 million mark in the 2070s. Indigenous population Early population figures for the Thirteen Colonies and United States come with certain caveats. Official records excluded the indigenous population, and they generally remained excluded until the late 1800s. In 1500, in the first decade of European colonization of the Americas, the native population living within the modern U.S. borders was believed to be around 1.9 million people. The spread of Old World diseases, such as smallpox, measles, and influenza, to biologically defenseless populations in the New World then wreaked havoc across the continent, often wiping out large portions of the population in areas that had not yet made contact with Europeans. By the time of Jamestown's founding in 1607, it is believed the native population within current U.S. borders had dropped by almost 60 percent. As the U.S. expanded, indigenous populations were largely still excluded from population figures as they were driven westward, however taxpaying Natives were included in the census from 1870 to 1890, before all were included thereafter. It should be noted that estimates for indigenous populations in the Americas vary significantly by source and time period. Migration and expansion fuels population growth The arrival of European settlers and African slaves was the key driver of population growth in North America in the 17th century. Settlers from Britain were the dominant group in the Thirteen Colonies, before settlers from elsewhere in Europe, particularly Germany and Ireland, made a large impact in the mid-19th century. By the end of the 19th century, improvements in transport technology and increasing economic opportunities saw migration to the United States increase further, particularly from southern and Eastern Europe, and in the first decade of the 1900s the number of migrants to the U.S. exceeded one million people in some years. It is also estimated that almost 400,000 African slaves were transported directly across the Atlantic to mainland North America between 1500 and 1866 (although the importation of slaves was abolished in 1808). Blacks made up a much larger share of the population before slavery's abolition. Twentieth and twenty-first century The U.S. population has grown steadily since 1900, reaching one hundred million in the 1910s, two hundred million in the 1960s, and three hundred million in 2007. Since WWII, the U.S. has established itself as the world's foremost superpower, with the world's largest economy, and most powerful military. This growth in prosperity has been accompanied by increases in living standards, particularly through medical advances, infrastructure improvements, clean water accessibility. These have all contributed to higher infant and child survival rates, as well as an increase in life expectancy (doubling from roughly 40 to 80 years in the past 150 years), which have also played a large part in population growth. As fertility rates decline and increases in life expectancy slows, migration remains the largest factor in population growth. Since the 1960s, Latin America has now become the most common origin for migrants in the U.S., while immigration rates from Asia have also increased significantly. It remains to be seen how immigration restrictions of the current administration affect long-term population projections for the United States.

  9. Population ACS 2018-2022 - STATES

    • covid19-uscensus.hub.arcgis.com
    • hub.arcgis.com
    • +1more
    Updated Feb 3, 2024
    + more versions
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    US Census Bureau (2024). Population ACS 2018-2022 - STATES [Dataset]. https://covid19-uscensus.hub.arcgis.com/maps/5e48cdb7c453432b85d4f45818dc44eb
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    Dataset updated
    Feb 3, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    US Census Bureau
    Area covered
    Description

    This layer shows Population. This is shown by state and county boundaries. This service contains the 2018-2022 release of data from the American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. This layer is symbolized to show the point by Population Density and size of the point by Total Population. The size of the symbol represents the total count of housing units. Population Density was calculated based on the total population and area of land fields, which both came from the U.S. Census Bureau. Formula used for Calculating the Pop Density (B01001_001E/GEO_LAND_AREA_SQ_KM). To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2018-2022ACS Table(s): B01001, B09020Data downloaded from: Census Bureau's API for American Community Survey Date of API call: January 18, 2024National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:Boundaries come from the Cartographic Boundaries via US Census TIGER geodatabases. Boundaries are updated at the same time as the data updates, and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines clipped for cartographic purposes. For state and county boundaries, the water and coastlines are derived from the coastlines of the 500k TIGER Cartographic Boundary Shapefiles. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 52 records - all US states, Washington D.C., and Puerto Rico. The Counties (and equivalent) layer contains 3221 records - all counties and equivalent, Washington D.C., and Puerto Rico municipios. See Areas Published. Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells.Margin of error (MOE) values of -555555555 in the API (or "*****" (five asterisks) on data.census.gov) are displayed as 0 in this dataset. The estimates associated with these MOEs have been controlled to independent counts in the ACS weighting and have zero sampling error. So, the MOEs are effectively zeroes, and are treated as zeroes in MOE calculations. Other negative values on the API, such as -222222222, -666666666, -888888888, and -999999999, all represent estimates or MOEs that can't be calculated or can't be published, usually due to small sample sizes. All of these are rendered in this dataset as null (blank) values.

  10. Population Growth Rate in the United States

    • hub.arcgis.com
    Updated Jun 26, 2018
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    Esri (2018). Population Growth Rate in the United States [Dataset]. https://hub.arcgis.com/maps/a6fc3f3610d0485295cb35306a567f38
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    Dataset updated
    Jun 26, 2018
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    Retirement Notice: This item is in mature support as of June 2023 and will be retired in December 2025. A replacement item has not been identified at this time. Esri recommends updating your maps and apps to phase out use of this item.This map shows the estimated annual growth rate of population in the United States from 2022 to 2027 in a multiscale map by country, state, county, ZIP Code, tract, and block group.The pop-up is configured to include the following information for each geography level:2022 total population2027 total population estimate2000-2010 annual population growth rate2010-2022 annual population growth rate2022-2027 annual projected population growth rate Permitted use of this data is covered in the DATA section of the Esri Master Agreement (E204CW) and these supplemental terms.

  11. United States Block Group Boundaries

    • geodata.colorado.gov
    Updated Jul 1, 2024
    + more versions
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    Esri (2024). United States Block Group Boundaries [Dataset]. https://geodata.colorado.gov/maps/efc1b655791540069ca8db8ab0a90b90
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    Dataset updated
    Jul 1, 2024
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    United States,
    Description

    This layer presents the USA Census Block Group boundaries of the United States in the 50 states and the District of Columbia. The geography is sourced from U.S. Census Bureau 2020 TIGER FGDB (National Sub-State) and edited using TIGER Hydrography to add a detailed coastline for cartographic purposes.Attribute fields include 2020 total population from the U.S. Census Public Law 94 data.The boundaries are sourced from U.S. Census TIGER files. These were published in June 2024. A new layer will be published in 12-18 months. Other administrative boundaries for this country are also available:CountryStateCountyZIP CodeTract

  12. d

    Census Data

    • catalog.data.gov
    • data.globalchange.gov
    • +3more
    Updated Mar 1, 2024
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    U.S. Bureau of the Census (2024). Census Data [Dataset]. https://catalog.data.gov/dataset/census-data
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    Dataset updated
    Mar 1, 2024
    Dataset provided by
    U.S. Bureau of the Census
    Description

    The Bureau of the Census has released Census 2000 Summary File 1 (SF1) 100-Percent data. The file includes the following population items: sex, age, race, Hispanic or Latino origin, household relationship, and household and family characteristics. Housing items include occupancy status and tenure (whether the unit is owner or renter occupied). SF1 does not include information on incomes, poverty status, overcrowded housing or age of housing. These topics will be covered in Summary File 3. Data are available for states, counties, county subdivisions, places, census tracts, block groups, and, where applicable, American Indian and Alaskan Native Areas and Hawaiian Home Lands. The SF1 data are available on the Bureau's web site and may be retrieved from American FactFinder as tables, lists, or maps. Users may also download a set of compressed ASCII files for each state via the Bureau's FTP server. There are over 8000 data items available for each geographic area. The full listing of these data items is available here as a downloadable compressed data base file named TABLES.ZIP. The uncompressed is in FoxPro data base file (dbf) format and may be imported to ACCESS, EXCEL, and other software formats. While all of this information is useful, the Office of Community Planning and Development has downloaded selected information for all states and areas and is making this information available on the CPD web pages. The tables and data items selected are those items used in the CDBG and HOME allocation formulas plus topics most pertinent to the Comprehensive Housing Affordability Strategy (CHAS), the Consolidated Plan, and similar overall economic and community development plans. The information is contained in five compressed (zipped) dbf tables for each state. When uncompressed the tables are ready for use with FoxPro and they can be imported into ACCESS, EXCEL, and other spreadsheet, GIS and database software. The data are at the block group summary level. The first two characters of the file name are the state abbreviation. The next two letters are BG for block group. Each record is labeled with the code and name of the city and county in which it is located so that the data can be summarized to higher-level geography. The last part of the file name describes the contents . The GEO file contains standard Census Bureau geographic identifiers for each block group, such as the metropolitan area code and congressional district code. The only data included in this table is total population and total housing units. POP1 and POP2 contain selected population variables and selected housing items are in the HU file. The MA05 table data is only for use by State CDBG grantees for the reporting of the racial composition of beneficiaries of Area Benefit activities. The complete package for a state consists of the dictionary file named TABLES, and the five data files for the state. The logical record number (LOGRECNO) links the records across tables.

  13. d

    Digital data sets describing population density in the conterminous US

    • catalog.data.gov
    • data.usgs.gov
    • +2more
    Updated Nov 27, 2025
    + more versions
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    U.S. Geological Survey (2025). Digital data sets describing population density in the conterminous US [Dataset]. https://catalog.data.gov/dataset/digital-data-sets-describing-population-density-in-the-conterminous-us
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    Dataset updated
    Nov 27, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Contiguous United States, United States
    Description

    Grid of population density in the conterminous United States at a resolution of one kilometer. The grid was converted from an ASCII file obtained from the Consortium for International Earth Science Information Network (CIESIN).

  14. a

    U.S. Population Change 2000 to 2010

    • hub.arcgis.com
    Updated Nov 11, 2011
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    ArcGIS Maps for the Nation (2011). U.S. Population Change 2000 to 2010 [Dataset]. https://hub.arcgis.com/maps/af5b01111fd14cf19c1ff9ece7a22adc
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    Dataset updated
    Nov 11, 2011
    Dataset authored and provided by
    ArcGIS Maps for the Nation
    Area covered
    Description

    This web map indicates the annual compound rate of total population change in the United States from 2000 to 2010. Total Population is the total number of residents in an area. Residence refers to the "usual place" where a person lives. Total Population for 2000 is from the U.S. Census 2000. The 2010 Total Population variable is estimated by Esri's proven annual demographic update methodology that blends GIS with statistical technology and a unique combination of data sources.The map is symbolized so that you can easily distinguish areas of population growth (i.e. shades of green) from areas of population decline (i.e. shades of red). It uses a 3 D effect to further emphasize those trends. The map reveals interesting patterns of recent population change in various regions and communities across the United States.The map shows population change at the County and Census Tract levels. The geography depicts Counties at 25m to 750k scale, Census Tracts at 750k to 100k scale.Esri's Updated Demographics (2010/2015) – Population, age, income, sex, race, marital status and other variables are among the variables included in the database. Each year, Esri's data development team employs its proven methodologies to update more than 2,000 demographic variables for a variety of geographies. See Updated Demographics for more information.

  15. A

    United States: High Resolution Population Density Maps + Demographic...

    • data.amerigeoss.org
    csv +2
    Updated Nov 23, 2021
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    UN Humanitarian Data Exchange (2021). United States: High Resolution Population Density Maps + Demographic Estimates [Dataset]. https://data.amerigeoss.org/th/dataset/united-states-high-resolution-population-density-maps-demographic-estimates
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    geotiff(371290), geotiff(1776499), csv(739022265), geotiff(231977), geotiff(116587981), geotiff(1117383), geotiff(614476002), geotiff(304019), geotiff(2895), csv(483753848), geotiff(199544098), geotiff(224182623), geotiff(124627362), geotiff(237058), csv(472969656), geotiff(26946380), csv(489231061), geotiff(1228665), geotiff(405664), geotiff(550808683), geotiff(1532704), csv(487815277), geotiff(183428692), csv(685438176), csv(394330534), csv(485656695), geotiff(124039499), geotiff(469990091), geotiff(11461), csv(394996827), geotiff(34907364), geotiff(157250075), geotiff(3728), geotiff(170821611), geotiff(673517573), geotiff(1659759), geotiff(125397), geotiff(234451), geotiff(235352906), geotiff(93419790), csv(372023378), geotiff(5998), geotiff(48567), geotiff(52959901), geotiff(46501506), geotiff(61425), csv(474849010), geotiff(6551882), geotiff(390755), geotiff(115398457), geotiff(106036740), geotiff(115081607), geotiff(20024613), geotiff(235417782), geotiff(2093905), geotiff(6086942), gdal virtual format(16491), geotiff(48083), geotiff(1762232), geotiff(34651551), geotiff(273238), geotiff(30387688), geotiff(40913), geotiff(349586), geotiff(208940973), geotiff(1791166), geotiff(223427143), csv(371942136), geotiff(365873), geotiff(575702), csv(394139438), csv(394960076), geotiff(305108), geotiff(34077058), csv(599533500), geotiff(612496510), geotiff(671100977), geotiff(154041022)Available download formats
    Dataset updated
    Nov 23, 2021
    Dataset provided by
    UN Humanitarian Data Exchange
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    United States
    Description

    These high-resolution maps estimate not only the number of people living within 30-meter grid tiles, but also provide insights on demographics at unprecedentedly high resolutions. These maps aren’t built using Facebook data and instead rely on combining the power of machine vision AI with satellite imagery and census information.

  16. Race and Ethnicity 2018-2022 - STATES

    • mce-data-uscensus.hub.arcgis.com
    • covid19-uscensus.hub.arcgis.com
    Updated Feb 5, 2024
    + more versions
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    US Census Bureau (2024). Race and Ethnicity 2018-2022 - STATES [Dataset]. https://mce-data-uscensus.hub.arcgis.com/maps/973245d9cd914f58a8fe87baacea1f4a
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    Dataset updated
    Feb 5, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    US Census Bureau
    Area covered
    Description

    This layer shows Race and Ethnicity. This is shown by state and county boundaries. This service contains the 2018-2022 release of data from the American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. This layer is symbolized to show the percentage of population that are Hispanic or Latino (of any race). To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2018-2022ACS Table(s): B02001, B03001, DP05Data downloaded from: CensusBureau's API for American Community Survey Date of API call: January 18, 2024National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:Boundaries come from the Cartographic Boundaries via US Census TIGER geodatabases. Boundaries are updated at the same time as the data updates, and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines clipped for cartographic purposes. For state and county boundaries, the water and coastlines are derived from the coastlines of the 500k TIGER Cartographic Boundary Shapefiles. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 52 records - all US states, Washington D.C., and Puerto Rico. The Counties (and equivalent) layer contains 3221 records - all counties and equivalent, Washington D.C., and Puerto Rico municipios. See Areas Published. Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells.Margin of error (MOE) values of -555555555 in the API (or "*****" (five asterisks) on data.census.gov) are displayed as 0 in this dataset. The estimates associated with these MOEs have been controlled to independent counts in the ACS weighting and have zero sampling error. So, the MOEs are effectively zeroes, and are treated as zeroes in MOE calculations. Other negative values on the API, such as -222222222, -666666666, -888888888, and -999999999, all represent estimates or MOEs that can't be calculated or can't be published, usually due to small sample sizes. All of these are rendered in this dataset as null (blank) values.

  17. K

    US Cities with Population < 500,000

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Aug 28, 2018
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    US Bureau of Transportation Statistics (BTS) (2018). US Cities with Population < 500,000 [Dataset]. https://koordinates.com/layer/22758-us-cities-with-population-500000/
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    geodatabase, mapinfo tab, dwg, geopackage / sqlite, csv, kml, shapefile, mapinfo mif, pdfAvailable download formats
    Dataset updated
    Aug 28, 2018
    Dataset authored and provided by
    US Bureau of Transportation Statistics (BTS)
    Area covered
    Description

    This layer is a component of Transborder.

  18. e

    Race in the US by Dot Density

    • coronavirus-resources.esri.com
    • coronavirus-disasterresponse.hub.arcgis.com
    • +1more
    Updated Jan 10, 2020
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    ArcGIS Living Atlas Team (2020). Race in the US by Dot Density [Dataset]. https://coronavirus-resources.esri.com/maps/71df79b33d4e4db28c915a9f16c3074e
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    Dataset updated
    Jan 10, 2020
    Dataset authored and provided by
    ArcGIS Living Atlas Team
    Area covered
    Description

    This map is designed to work in the new ArcGIS Online Map Viewer. Open in Map Viewer to view map. What does this map show?This map shows the population in the US by race. The map shows this pattern nationwide for states, counties, and tracts. Open the map in the new ArcGIS Online Map Viewer Beta to see the dot density pattern. What is dot density?The density is visualized by randomly placing one dot per a given value for the desired attribute. Unlike choropleth visualizations, dot density can be mapped using total counts since the size of the polygon plays a significant role in the perceived density of the attribute.Where is the data from?The data in this map comes from the most current American Community Survey (ACS) from the U.S. Census Bureau. Table B03002. The layer being used if updated with the most current data each year when the Census releases new estimates. The layer can be found in ArcGIS Living Atlas of the World: ACS Race and Hispanic Origin Variables - Boundaries.What questions does this map answer?Where do people of different races live?Do people of a similar race live close to people of their own race?Which cities have a diverse range of different races? Less diverse?

  19. K

    US Core Based Statistical Areas

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Feb 1, 2001
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    US Bureau of Transportation Statistics (BTS) (2001). US Core Based Statistical Areas [Dataset]. https://koordinates.com/layer/22838-us-core-based-statistical-areas/
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    mapinfo mif, dwg, shapefile, kml, mapinfo tab, csv, geodatabase, geopackage / sqlite, pdfAvailable download formats
    Dataset updated
    Feb 1, 2001
    Dataset authored and provided by
    US Bureau of Transportation Statistics (BTS)
    Area covered
    Description

    The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line File is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Metropolitan and Micropolitan Statistical Areas are together termed Core Based Statistical Areas (CBSAs) and are defined by the Office of Management and Budget (OMB) and consist of the county or counties or equivalent entities associated with at least one urban core (urbanized area or urban cluster) of at least 10,000 population, plus adjacent counties having a high degree of social and economic integration with the core as measured through commuting ties with the counties containing the core. Categories of CBSAs are: Metropolitan Statistical Areas, based on urbanized areas of 50,000 or more population, and Micropolitan Statistical Areas, based on urban clusters of at least 10,000 population but less than 50,000 population. The CBSAs for the 2010 Census are those defined by OMB and published in December 2009.

    © The United States CBSA Boundaries files were compiled from a variety of sources including the US Bureau of the Census, and data supplied by individual states. This layer is sourced from maps.bts.dot.gov.

  20. United States Cities

    • kaggle.com
    zip
    Updated Jan 6, 2023
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    outwrest (2023). United States Cities [Dataset]. https://www.kaggle.com/datasets/outwrest/simple-cities-us-dataset
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    zip(4140879 bytes)Available download formats
    Dataset updated
    Jan 6, 2023
    Authors
    outwrest
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    United States
    Description

    The United States is a country located in North America. It is made up of 50 states and the capital district of Washington. The US federal republic has its capital in Washington D.C., which means this dataset can be used to study demographics, geography, and population density for different cities across the United States. This information can help researchers, policymakers and businesses understand how people live and work within different geographical areas in the USA

    This dataset comes from simplemaps.com, check out the dataset at https://simplemaps.com/data/us-cities

    Thumbnail from https://www.vecteezy.com/vector-art/3798082-red-square-map-of-united-states-of-america-with-long-shadow

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ArcGIS Living Atlas Team (2017). 2010 Population Density in the United States [Dataset]. https://hub.arcgis.com/maps/bd27b64a3274493d900606a62c6137da

2010 Population Density in the United States

Explore at:
Dataset updated
May 27, 2017
Dataset authored and provided by
ArcGIS Living Atlas Team
Area covered
Description

This map shows the population density and total population in the United States in 2010. This is shown by state, county, tract, and block group. The color shows the population per square mile (population density), while the size of each feature shows the total population living there. This is a valuable way to represent population by understanding the quantity and density of the people living there. Areas with high population density are more tightly packed, while low population density means the population is more spread out.The map shows this pattern for states, counties, tracts, and block groups. There is increasing geographic detail as you zoom in, and only one geography is configured to show at any time. The data source is the US Census Bureau, and the vintage is 2010. The original service and data metadata can be found here.

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