100+ datasets found
  1. 2023 American Community Survey: DP02 | Selected Social Characteristics in...

    • data.census.gov
    • test.data.census.gov
    Updated Feb 11, 2025
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    ACS (2025). 2023 American Community Survey: DP02 | Selected Social Characteristics in the United States (ACS 5-Year Estimates Data Profiles) [Dataset]. https://data.census.gov/all/tables?q=DP02&g=9700000US4820280
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    Dataset updated
    Feb 11, 2025
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    ACS
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    2023
    Area covered
    United States
    Description

    Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, the decennial census is the official source of population totals for April 1st of each decennial year. In between censuses, the Census Bureau's Population Estimates Program produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units and the group quarters population for states and counties..Information about the American Community Survey (ACS) can be found on the ACS website. Supporting documentation including code lists, subject definitions, data accuracy, and statistical testing, and a full list of ACS tables and table shells (without estimates) can be found on the Technical Documentation section of the ACS website.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2019-2023 American Community Survey 5-Year Estimates.ACS data generally reflect the geographic boundaries of legal and statistical areas as of January 1 of the estimate year. For more information, see Geography Boundaries by Year..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 roughly 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 ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Users must consider potential differences in geographic boundaries, questionnaire content or coding, or other methodological issues when comparing ACS data from different years. Statistically significant differences shown in ACS Comparison Profiles, or in data users' own analysis, may be the result of these differences and thus might not necessarily reflect changes to the social, economic, housing, or demographic characteristics being compared. For more information, see Comparing ACS Data..Ancestry listed in this table refers to the total number of people who responded with a particular ancestry; for example, the estimate given for German represents the number of people who listed German as either their first or second ancestry. This table lists only the largest ancestry groups; see the Detailed Tables for more categories. Race and Hispanic origin groups are not included in this table because data for those groups come from the Race and Hispanic origin questions rather than the ancestry question (see Demographic Table)..Data for year of entry of the native population reflect the year of entry into the U.S. by people who were born in Puerto Rico or U.S. Island Areas or born outside the U.S. to a U.S. citizen parent and who subsequently moved to the U.S..The category "with a broadband Internet subscription" refers to those who said "Yes" to at least one of the following types of Internet subscriptions: Broadband such as cable, fiber optic, or DSL; a cellular data plan; satellite; a fixed wireless subscription; or other non-dial up subscription types..An Internet "subscription" refers to a type of service that someone pays for to access the Internet such as a cellular data plan, broadband such as cable, fiber optic or DSL, or other type of service. This will normally refer to a service that someone is billed for directly for Internet alone or sometimes as part of a bundle.."With a computer" includes those who said "Yes" to at least one of the following types of computers: Desktop or laptop; smartphone; tablet or other portable wireless computer; or some other type of computer..Caution should be used when comparing data for computer and Internet use before and after 2016. Changes in 2016 to the questions involving the wording as well as the response options resulted in changed response patterns in the data. Most noticeable are increases in overall computer ownership or use, the total of Internet subscriptions, satellite subscriptions, and cellular data plans for a smartphone or other mobile device. For more detailed information about these changes, see the 2016 American Community Survey Content Test Report for Computer and Internet Use located at https://www.census.gov/library/working-papers/2017/acs/2017_Lewis_01.html or the user note regarding changes in the 2016 questions located at https://www.census.gov/programs-surveys/acs/technical-documentation/user-notes/2017-03.html..Estimates of urban and rural populations, housing units...

  2. d

    Census Data

    • catalog.data.gov
    • data.globalchange.gov
    • +2more
    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.

  3. d

    United States Census Bureau Open Data

    • catalog.data.gov
    • hub.arcgis.com
    Updated Apr 19, 2025
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    City of Sioux Falls GIS (2025). United States Census Bureau Open Data [Dataset]. https://catalog.data.gov/dataset/united-states-census-bureau-open-data-3513f
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    Dataset updated
    Apr 19, 2025
    Dataset provided by
    City of Sioux Falls GIS
    Area covered
    United States
    Description

    Link to the Open Data site for the United States Census Bureau.

  4. U.S. Census Bureau TIGER/Line Files, 1990, 2000-2002, 2004-2009

    • openicpsr.org
    Updated Dec 21, 2021
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    United States Department of Commerce. Bureau of the Census (2021). U.S. Census Bureau TIGER/Line Files, 1990, 2000-2002, 2004-2009 [Dataset]. http://doi.org/10.3886/E158022V1
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    Dataset updated
    Dec 21, 2021
    Dataset provided by
    United States Department of Commercehttp://commerce.gov/
    United States Census Bureauhttp://census.gov/
    Authors
    United States Department of Commerce. Bureau of the Census
    License

    https://creativecommons.org/share-your-work/public-domain/pdmhttps://creativecommons.org/share-your-work/public-domain/pdm

    Time period covered
    1990 - 2009
    Area covered
    United States
    Description

    The U.S. Census Bureau TIGER/Line® files in this data collection were originally distributed by the Inter-university Consortium for Political and Social Research (ICPSR) through its TIGER/Line file web site, which was decommissioned in 2018 (archived version: https://web.archive.org/web/20090924181858/http://www.icpsr.umich.edu/TIGER/index.html). There, users could download various versions of the U.S. Census Bureau's TIGER (Topologically Integrated Geographic Encoding and Referencing) database. The TIGER/Line files do not include demographic data, but they do contain geographic information that can be linked to the Census Bureau’s demographic data. Due to file number limitations in openICPSR, the original data collections have been bundled into single zip packages. A single TIGER_directory.txt file listing the original files and the original directory structure is included with the root directory. Documentation files are also included as standalone subdirectories in each collection so users do not need to download entire zip bundles to view documentation. The TIGER/Line data are stored in compressed format in subdirectories by state name. There is one TIGER/Line file (in a compressed format) for each county or county equivalent. The file names consist of TGR + the 2-digit state FIPS (Federal Information Processing Standards) code + the 3-digit county FIPS code (i.e. TGR01031.ZIP for Coffee County, Alabama). Each state folder contains individual county files.The individual county files include one file for each record type included for that county with the following name convention: tgr01031.rt1. The convention follows the order described above with each file having a suffix which includes 'rt' (record type) followed by its designation (in this case record type 1). Each county file also contains its own metadata record.If present, documentation files for the TIGER/Line data are stored in a directory named '0docs' which is located in the 'Parent Directory'. This directory appears at the top of the index of state subdirectories for each edition of the TIGER/Line files. The documentation includes a complete list of FIPS state and county codes.

  5. H

    U.S. Census Bureau

    • dataverse.harvard.edu
    Updated Apr 21, 2025
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    U.S. Census Bureau (2025). U.S. Census Bureau [Dataset]. http://doi.org/10.7910/DVN/WRDPDK
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 21, 2025
    Dataset provided by
    Harvard Dataverse
    Authors
    U.S. Census Bureau
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    United States
    Description

    US Census data since 1980. (Website archive) Source: http://census.gov

  6. Current Population Survey: Computer and Internet Use Supplement

    • catalog.data.gov
    Updated Jul 19, 2023
    + more versions
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    U.S. Census Bureau (2023). Current Population Survey: Computer and Internet Use Supplement [Dataset]. https://catalog.data.gov/dataset/current-population-survey-computer-and-internet-use-supplement-102d7
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    Dataset updated
    Jul 19, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Description

    Information on person and household broadband (high-speed Internet) use, where it is used, by what types of devices, what type of service provider, online actions performed, and other characteristics.

  7. American Community Survey: 1-Year Estimates: Comparison Profiles 1-Year

    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • datasets.ai
    • +1more
    Updated Sep 14, 2023
    + more versions
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    U.S. Census Bureau (2023). American Community Survey: 1-Year Estimates: Comparison Profiles 1-Year [Dataset]. https://res1catalogd-o-tdatad-o-tgov.vcapture.xyz/dataset/american-community-survey-1-year-estimates-comparison-profiles-1-year-292ac
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    Dataset updated
    Sep 14, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Description

    The American Community Survey (ACS) is an ongoing survey that provides data every year -- giving communities the current information they need to plan investments and services. The ACS covers a broad range of topics about social, economic, demographic, and housing characteristics of the U.S. population. Much of the ACS data provided on the Census Bureau's Web site are available separately by age group, race, Hispanic origin, and sex. Summary files, Subject tables, Data profiles, and Comparison profiles are available for the nation, all 50 states, the District of Columbia, Puerto Rico, every congressional district, every metropolitan area, and all counties and places with populations of 65,000 or more. Comparison profiles are similar to Data profiles but also include comparisons with past-year data. The current year data are compared with each of the last four years of data and include statistical significance testing. There are over 1,000 variables in this dataset.

  8. US Census Firm Concentration Data, 1972-2012

    • icpsr.umich.edu
    ascii, delimited, r +3
    Updated Aug 26, 2021
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    Ganapati, Sharat (2021). US Census Firm Concentration Data, 1972-2012 [Dataset]. http://doi.org/10.3886/ICPSR37961.v1
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    stata, sas, r, ascii, delimited, spssAvailable download formats
    Dataset updated
    Aug 26, 2021
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Ganapati, Sharat
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/37961/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/37961/terms

    Time period covered
    1972 - 2012
    Area covered
    United States
    Description

    Since the passing of the 1953 Title 13 U.S. Code, Congress gave the Census Bureau authority to conduct an economic census every 5 years on years that end in a 2 or 7. This code mandated that all economic firms must provide requested information, and it required the Bureau to maintain the confidentiality of the individual records. Respondents are asked to provide a range of operational and performance data for their companies. This collection is compiled from publicly available U.S. Census Bureau data and publications. This data comes from a mix of digitized paper documents, CD-ROMs/Floppy discs, now-discontinued FTP servers, and the US Census Bureau website. However, this data is not a complete sample of the US economic census. This collection has variables related to the type of establishment, year, business sector, payroll, number of employees, number of firms, and shipments. Some inquiries apply to some industries but not others, such as materials consumed and franchising

  9. N

    New Site, AL Census Bureau Gender Demographics and Population Distribution...

    • neilsberg.com
    Updated Feb 19, 2024
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    Neilsberg Research (2024). New Site, AL Census Bureau Gender Demographics and Population Distribution Across Age Datasets [Dataset]. https://www.neilsberg.com/research/datasets/e19a6939-52cf-11ee-804b-3860777c1fe6/
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    Dataset updated
    Feb 19, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    New Site, Alabama
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the New Site population by gender and age. The dataset can be utilized to understand the gender distribution and demographics of New Site.

    Content

    The dataset constitues the following two datasets across these two themes

    • New Site, AL Population Breakdown by Gender
    • New Site, AL Population Breakdown by Gender and Age

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

  10. 2022 American Community Survey: B28008 | Presence of a Computer and Type of...

    • data.census.gov
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    ACS, 2022 American Community Survey: B28008 | Presence of a Computer and Type of Internet Subscription in Household (ACS 1-Year Estimates Detailed Tables) [Dataset]. https://data.census.gov/table/ACSDT1Y2022.B28008
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    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    ACS
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    2022
    Description

    Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, the decennial census is the official source of population totals for April 1st of each decennial year. In between censuses, the Census Bureau's Population Estimates Program produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units for states and counties..Information about the American Community Survey (ACS) can be found on the ACS website. Supporting documentation including code lists, subject definitions, data accuracy, and statistical testing, and a full list of ACS tables and table shells (without estimates) can be found on the Technical Documentation section of the ACS website.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2022 American Community Survey 1-Year Estimates.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 roughly 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 ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..The category "Has a computer" includes those who said "Yes" to at least one of the following types of computers: Desktop or laptop; smartphone; tablet or other portable wireless computer; or some other type of computer. The category "No computer" consists of those who said "No" to all of these types of computers..An Internet "subscription" refers to a type of service that someone pays for to access the Internet such as a cellular data plan, broadband such as cable, fiber optic or DSL, or other type of service. This will normally refer to a service that someone is billed for directly for Internet alone or sometimes as part of a bundle..Caution should be used when comparing data for computer and Internet use before and after 2016. Changes in 2016 to the questions involving the wording as well as the response options resulted in changed response patterns in the data. Most noticeable are increases in overall computer ownership or use, the total of Internet subscriptions, satellite subscriptions, and cellular data plans for a smartphone or other mobile device. For more detailed information about these changes, see the 2016 American Community Survey Content Test Report for Computer and Internet Use located at https://www.census.gov/library/working-papers/2017/acs/2017_Lewis_01.html or the user note regarding changes in the 2016 questions located at https://www.census.gov/programs-surveys/acs/technical-documentation/user-notes/2017-03.html..The category "With a broadband Internet subscription" refers to those who said "Yes" to at least one of the following types of Internet subscriptions: Broadband such as cable, fiber optic, or DSL; a cellular data plan; satellite; a fixed wireless subscription; or other non-dial up subscription types. The category "Without an Internet subscription" includes those who accessed the Internet without a subscription and also those with no Internet access at all..The 2022 American Community Survey (ACS) data generally reflect the March 2020 Office of Management and Budget (OMB) delineations of metropolitan and micropolitan statistical areas. In certain instances the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB delineations due to differences in the effective dates of the geographic entities..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on 2020 Census data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in...

  11. N

    New Site, AL Age Group Population Dataset: A Complete Breakdown of New Site...

    • neilsberg.com
    csv, json
    Updated Feb 22, 2025
    + more versions
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    Neilsberg Research (2025). New Site, AL Age Group Population Dataset: A Complete Breakdown of New Site Age Demographics from 0 to 85 Years and Over, Distributed Across 18 Age Groups // 2025 Edition [Dataset]. https://www.neilsberg.com/research/datasets/453a07dd-f122-11ef-8c1b-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Feb 22, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    New Site, Alabama
    Variables measured
    Population Under 5 Years, Population over 85 years, Population Between 5 and 9 years, Population Between 10 and 14 years, Population Between 15 and 19 years, Population Between 20 and 24 years, Population Between 25 and 29 years, Population Between 30 and 34 years, Population Between 35 and 39 years, Population Between 40 and 44 years, and 9 more
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To measure the two variables, namely (a) population and (b) population as a percentage of the total population, we initially analyzed and categorized the data for each of the age groups. For age groups we divided it into roughly a 5 year bucket for ages between 0 and 85. For over 85, we aggregated data into a single group for all ages. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the New Site population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for New Site. The dataset can be utilized to understand the population distribution of New Site by age. For example, using this dataset, we can identify the largest age group in New Site.

    Key observations

    The largest age group in New Site, AL was for the group of age 75 to 79 years years with a population of 67 (9.05%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in New Site, AL was the Under 5 years years with a population of 2 (0.27%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

    Age groups:

    • Under 5 years
    • 5 to 9 years
    • 10 to 14 years
    • 15 to 19 years
    • 20 to 24 years
    • 25 to 29 years
    • 30 to 34 years
    • 35 to 39 years
    • 40 to 44 years
    • 45 to 49 years
    • 50 to 54 years
    • 55 to 59 years
    • 60 to 64 years
    • 65 to 69 years
    • 70 to 74 years
    • 75 to 79 years
    • 80 to 84 years
    • 85 years and over

    Variables / Data Columns

    • Age Group: This column displays the age group in consideration
    • Population: The population for the specific age group in the New Site is shown in this column.
    • % of Total Population: This column displays the population of each age group as a proportion of New Site total population. Please note that the sum of all percentages may not equal one due to rounding of values.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for New Site Population by Age. You can refer the same here

  12. Economic Census

    • icpsr.umich.edu
    Updated Feb 24, 2016
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    United States. Bureau of the Census (2016). Economic Census [Dataset]. https://www.icpsr.umich.edu/web/NADAC/studies/36382
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    Dataset updated
    Feb 24, 2016
    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/36382/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/36382/terms

    Area covered
    United States
    Description

    The Economic Census is the United States Government's official five-year measure of American business and the economy. It is conducted by the U.S. Census Bureau, and response is required by law. Every 5 years starting in 1977, forms are sent out to millions of businesses, including large, medium and small companies representing all U.S. locations and industries. Respondents were asked to provide a range of operational and performance data for their companies. The Economic Census provides data for several arts-related NAICS industries, including the following: Arts, entertainment, and recreation (NAICS Code 71) Performing arts companies Spectator sports Promoters of performing arts, sports, and similar events Independent artists, writers, and performers Museums, historical sites, and similar institutions Amusement parks and arcades Professional, scientific, and technical services (NAICS Code 54) Architectural services Graphic Design Services Landscape architectural services Photographic services Retail trade (NAICS Code 44-45) Sporting goods, hobby, and musical instrument stores Sewing, needlework, and piece goods stores Book stores Art dealers Some industries are not covered by the economic census. View a full list here. Data from the Economic Census is important for industries, communities, and businesses. Trade associations, chambers of commerce, and businesses rely on this information for economic development, business decisions, and strategic planning. Government agencies, analysts, and business organizations nationwide also rely on census information for planning and key economic reports.

  13. a

    ACS Internet by Demographics Boundaries

    • hub.arcgis.com
    • broward-innovation-citizen-portal-bcgis.hub.arcgis.com
    Updated Jun 8, 2022
    + more versions
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    Broward County GIS (2022). ACS Internet by Demographics Boundaries [Dataset]. https://hub.arcgis.com/maps/1f6be50b99604749ba4cdf2bf42dc774
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    Dataset updated
    Jun 8, 2022
    Dataset authored and provided by
    Broward County GIS
    Area covered
    Description

    This layer shows computer ownership and internet access by age and race. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released 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 percent of population age 18 to 64 in households with no computer. 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: 2016-2020ACS Table(s): B28005, B28003, B28009B, B28009C, B28009D, B28009E, B28009F, B28009G, B28009H, B28009I Data downloaded from: Census Bureau's API for American Community Survey Date of API call: March 17, 2022The 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. For more information about ACS layers, visit the FAQ. 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:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2020 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. 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 RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).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 file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small.

  14. Census of Population and Housing, 1980 [United States]: Documentation for...

    • icpsr.umich.edu
    Updated Jun 1, 2016
    + more versions
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    Inter-university Consortium for Political and Social Research (2016). Census of Population and Housing, 1980 [United States]: Documentation for Census Bureau Restricted Data [Dataset]. http://doi.org/10.3886/ICPSR21982.v2
    Explore at:
    Dataset updated
    Jun 1, 2016
    Dataset authored and provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/21982/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/21982/terms

    Time period covered
    1980
    Area covered
    United States
    Description

    This documentation has been created by ICPSR for the restricted version of Census 1980 distributed by the Bureau of the Census. The restricted data is based on questions from the long form questionnaire, and was collected from one in six households in the United States. Topics covered include income, ancestry, citizenship status, home values, commute time to work, occupation, education, veteran status, language ability, migration, place of birth, and many others. The documentation available here provides files summaries, variable information, and facilitates sorting of the data by race or by a wide variety of geographical units. ICPSR is not distributing the restricted data, only the documentation for the restricted data. Users who wish to access the restricted data can find more information at the Michigan Census Research Data Center Web site. Users should also note that the data for the public versions of Census 1980 are available from ICPSR.

  15. a

    US Census Bureau ACS Reports Computer and Internet Use in the US (2018)

    • broward-county-demographics-bcgis.hub.arcgis.com
    • broward-innovation-citizen-portal-bcgis.hub.arcgis.com
    Updated Jul 8, 2022
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    Broward County GIS (2022). US Census Bureau ACS Reports Computer and Internet Use in the US (2018) [Dataset]. https://broward-county-demographics-bcgis.hub.arcgis.com/documents/ea24b4208d734a35b9f980b2545b74f8
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    Dataset updated
    Jul 8, 2022
    Dataset authored and provided by
    Broward County GIS
    License

    https://www.broward.org/Terms/Pages/Default.aspxhttps://www.broward.org/Terms/Pages/Default.aspx

    Area covered
    United States
    Description

    PDF item for use in the 2022 BBTN on Internet Access. This is a report released in 2018 that goes over ACS data on the rise and trends of computer and internet use over time in America.

  16. Computers and Internet Use 2018-2022 - COUNTIES

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • hub.arcgis.com
    • +1more
    Updated Feb 5, 2024
    + more versions
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    US Census Bureau (2024). Computers and Internet Use 2018-2022 - COUNTIES [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/maps/1996947ba7df436a8d64ec363c56ab31
    Explore at:
    Dataset updated
    Feb 5, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    US Census Bureau
    Area covered
    Description

    This layer shows Computers and Internet Use. This is shown by state and county boundaries. This service contains the 2017-2021 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 Percentage of Households with a Broadband Internet Subscription. 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): DP02, S2801Data downloaded from: Census Bureau's API for American Community Survey Date of API call: January 18, 2022National 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. N

    2020 Census Tracts

    • data.cityofnewyork.us
    • catalog.data.gov
    Updated Aug 21, 2025
    + more versions
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    Department of City Planning (DCP) (2025). 2020 Census Tracts [Dataset]. https://data.cityofnewyork.us/City-Government/2020-Census-Tracts/63ge-mke6
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    csv, application/rssxml, tsv, kml, kmz, xml, application/rdfxml, application/geo+jsonAvailable download formats
    Dataset updated
    Aug 21, 2025
    Dataset authored and provided by
    Department of City Planning (DCP)
    Description

    Census Tracts from the 2020 US Census for New York City clipped to the shoreline. These boundary files are derived from the US Census Bureau's TIGER project and have been geographically modified to fit the New York City base map. Because some census tracts are under water not all census tracts are contained in this file, only census tracts that are partially or totally located on land have been mapped in this file.

    All previously released versions of this data are available on the DCP Website: BYTES of the BIG APPLE. Current version: 25c

  18. 2023 American Community Survey: B28007 | Labor Force Status by Presence of a...

    • data.census.gov
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    ACS, 2023 American Community Survey: B28007 | Labor Force Status by Presence of a Computer and Types of Internet Subscription in Household (ACS 5-Year Estimates Detailed Tables) [Dataset]. https://data.census.gov/table/ACSDT5Y2023.B28007
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    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    ACS
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    2023
    Description

    Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, the decennial census is the official source of population totals for April 1st of each decennial year. In between censuses, the Census Bureau's Population Estimates Program produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units and the group quarters population for states and counties..Information about the American Community Survey (ACS) can be found on the ACS website. Supporting documentation including code lists, subject definitions, data accuracy, and statistical testing, and a full list of ACS tables and table shells (without estimates) can be found on the Technical Documentation section of the ACS website.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2019-2023 American Community Survey 5-Year Estimates.ACS data generally reflect the geographic boundaries of legal and statistical areas as of January 1 of the estimate year. For more information, see Geography Boundaries by Year..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 roughly 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 ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Users must consider potential differences in geographic boundaries, questionnaire content or coding, or other methodological issues when comparing ACS data from different years. Statistically significant differences shown in ACS Comparison Profiles, or in data users' own analysis, may be the result of these differences and thus might not necessarily reflect changes to the social, economic, housing, or demographic characteristics being compared. For more information, see Comparing ACS Data..The category "Has a computer" includes those who said "Yes" to at least one of the following types of computers: Desktop or laptop; smartphone; tablet or other portable wireless computer; or some other type of computer. The category "No computer" consists of those who said "No" to all of these types of computers..An Internet "subscription" refers to a type of service that someone pays for to access the Internet such as a cellular data plan, broadband such as cable, fiber optic or DSL, or other type of service. This will normally refer to a service that someone is billed for directly for Internet alone or sometimes as part of a bundle..Caution should be used when comparing data for computer and Internet use before and after 2016. Changes in 2016 to the questions involving the wording as well as the response options resulted in changed response patterns in the data. Most noticeable are increases in overall computer ownership or use, the total of Internet subscriptions, satellite subscriptions, and cellular data plans for a smartphone or other mobile device. For more detailed information about these changes, see the 2016 American Community Survey Content Test Report for Computer and Internet Use located at https://www.census.gov/library/working-papers/2017/acs/2017_Lewis_01.html or the user note regarding changes in the 2016 questions located at https://www.census.gov/programs-surveys/acs/technical-documentation/user-notes/2017-03.html..The category "With a broadband Internet subscription" refers to those who said "Yes" to at least one of the following types of Internet subscriptions: Broadband such as cable, fiber optic, or DSL; a cellular data plan; satellite; a fixed wireless subscription; or other non-dial up subscription types. The category "Without an Internet subscription" includes those who accessed the Internet without a subscription and also those with no Internet access at all..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on 2020 Census data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estim...

  19. O

    County

    • data.vermont.gov
    Updated Jul 9, 2024
    + more versions
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    US Census (2024). County [Dataset]. https://data.vermont.gov/Government/County/3dr5-ewdb
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    kmz, csv, kml, xml, xlsx, application/geo+jsonAvailable download formats
    Dataset updated
    Jul 9, 2024
    Dataset authored and provided by
    US Census
    License

    https://www.usa.gov/government-workshttps://www.usa.gov/government-works

    Description

    This layer contains a Vermont-only subset of county level 2020 Decennial Census redistricting data as reported by the U.S. Census Bureau for all states plus DC and Puerto Rico. The attributes come from the 2020 Public Law 94-171 (P.L. 94-171) tables.


    Data download date: August 12, 2021
    Census tables: P1, P2, P3, P4, H1, P5, Header
    Downloaded from: Census FTP site

    Processing Notes:
    • Data was downloaded from the U.S. Census Bureau FTP site, imported into SAS format and joined to the 2020 TIGER boundaries. Boundaries are sourced from the 2020 TIGER/Line Geodatabases. Boundaries have been projected into Web Mercator and each attribute has been given a clear descriptive alias name. No alterations have been made to the vertices of the data.
    • Each attribute maintains it's specified name from Census, but also has a descriptive alias name and long description derived from the technical documentation provided by the Census.
    • For a detailed list of the attributes contained in this layer, view the Data tab and select "Fields".
    • The following alterations have been made to the tabular data:
      • Joined all tables to create one wide attribute table:
        • P1 - Race
        • P2 - Hispanic or Latino, and not Hispanic or Latino by Race
        • P3 - Race for the Population 18 Years and Over
        • P4 - Hispanic or Latino, and not Hispanic or Latino by Race for the Population 18 Years and Over
        • H1 - Occupancy Status (Housing)
        • P5 - Group Quarters Population by Group Quarters Type (correctional institutions, juvenile facilities, nursing facilities/skilled nursing, college/university student housing, military quarters, etc.)
        • Header
      • After joining, dropped fields: FILEID, STUSAB, CHARITER, CIFSN, LOGRECNO, GEOVAR, GEOCOMP, LSADC, BLOCK, BLKGRP, TRACT, COUSUB, COUSUBCC, COUSUBNS, SUBMCD, SUBMCDCC, SUBMCDNS, ESTATE, ESTATECC, ESTATENS, CONCIT, CONCITCC, CONCITNS, PLACE, PLACECC, PLACENS, AIANHH, AIHHTLI, AIANHHFP, AIANHHCC, AIANHHNS, AITS, AITSFP, AITSCC, AITSNS, TTRACT, TBLKGRP, ANRC, ANRCCC, ANRCNS, NECTA, NMEMI, CNECTA, NECTADIV, CBSAPCI, NECTAPCI, UA, UATYPE, UR, CD116, CD118, CD119, CD120, CD121, SLDU18, SLDU22, SLDU24, SLDU26, SLDU28, SLDL18, SLDL22, SLDL24, SLDL26, SLDL28, VTD, VTDI, ZCTA, SDELM, SDSEC, SDUNI, and PUMA.
      • GEOCOMP was renamed to GEOID and moved be the first column in the table, the original GEOID was dropped.
      • P0020001 was dropped, as it is duplicative of P0010001. Similarly, P0040001 was dropped, as it is duplicative of P0030001.
      • The following calculated fields have been added (see long field descriptions in the Data tab for formulas used):
        • PCT_P0030001: Percent of Population 18 Years and Over
        • PCT_P0020002: Percent Hispanic or Latino
        • PCT_P0020005: Percent White alone, not Hispanic or Latino
        • PCT_P0020006: Percent Black or African American alone, not Hispanic or Latino
        • PCT_P0020007: Percent American Indian and Alaska Native alone, not Hispanic or Latino
        • PCT_P0020008: Percent Asian alone, Not Hispanic or Latino
        • PCT_P0020009: Percent Native Hawaiian and Other Pacific Islander alone, not Hispanic or Latino
        • PCT_P0020010: Percent Some Other Race alone, not Hispanic or Latino
        • PCT_P0020011: Percent Population of Two or More Races, not Hispanic or Latino
        • PCT_H0010002: Percent of Housing Units that are Occupied
        • PCT_H0010003: Percent of Housing Units that are Vacant
    • VCGI exported a Vermont-only subset of the nation-wide layer to produce this layer--with fields limited to this popular subset:
      • OBJECTID: OBJECTID
      • GEOID: Geographic Record Identifier
      • NAME: Area Name-Legal/Statistical Area Description (LSAD) Term-Part Indicator
      • State: State
      • P0010001: Total Population
      • P0010003: Population of one race: White alone
      • P0010004: Population of one race: Black or African American alone
      • P0010005: Population of one race: American Indian and Alaska Native alone
      • P0010006: Population of one race: Asian alone
      • P0010007: Population of one race: Native Hawaiian and Other Pacific Islander alone
      • P0010008: Population of one race: Some Other Race alone
      • P0020002: Hispanic or Latino Population
      • P0020003: Non-Hispanic or Latino Population
      • P0030001: Total population 18 years and over
      • H0010001: Total housing units
      • H0010002: Total occupied housing units
      • H0010003: Total vacant housing units
      • P0050001: Total group quarters population
      • PCT_P0030001: Percent of Population 18 Years and Over
      • PCT_P0020002: Percent Hispanic or Latino
      • PCT_P0020005: Percent White alone, not Hispanic or Latino
      • PCT_P0020006: Percent Black or African American alone, not Hispanic or Latino
      • PCT_P0020007: Percent American Indian and Alaska Native alone, not Hispanic or Latino
      • PCT_P0020008: Percent Asian alone, not Hispanic or Latino
      • PCT_P0020009: Percent Native Hawaiian and Other Pacific Islander alone, not Hispanic or Latino
      • PCT_P0020010: Percent Some Other Race alone, not Hispanic or Latino
      • PCT_P0020011: Percent Population of two or more races, not Hispanic or Latino
      • PCT_H0010002: Percent of Housing Units that are Occupied
      • PCT_H0010003: Percent of Housing Units that are Vacant
      • SUMLEV: Summary Level
      • REGION: Region
      • DIVISION: Division
      • COUNTY: County (FIPS)
      • COUNTYNS: County (NS)
      • AREALAND: Area (Land)
      • AREAWATR: Area (Water)
      • INTPTLAT: Internal Point (Latitude)
      • INTPTLON: Internal Point (Longitude)
      • BASENAME: Area Base Name
      • POP100: Total Population Count
      • HU100: Total Housing Count
    Additional links:
    <div style='font-family:"Avenir Next W01", "Avenir Next W00",

  20. N

    New Site, AL Population Pyramid Dataset: Age Groups, Male and Female...

    • neilsberg.com
    csv, json
    Updated Feb 22, 2025
    + more versions
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    Neilsberg Research (2025). New Site, AL Population Pyramid Dataset: Age Groups, Male and Female Population, and Total Population for Demographics Analysis // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/new-site-al-population-by-age/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Feb 22, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    New Site, Alabama
    Variables measured
    Male and Female Population Under 5 Years, Male and Female Population over 85 years, Male and Female Total Population for Age Groups, Male and Female Population Between 5 and 9 years, Male and Female Population Between 10 and 14 years, Male and Female Population Between 15 and 19 years, Male and Female Population Between 20 and 24 years, Male and Female Population Between 25 and 29 years, Male and Female Population Between 30 and 34 years, Male and Female Population Between 35 and 39 years, and 9 more
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To measure the three variables, namely (a) male population, (b) female population and (b) total population, we initially analyzed and categorized the data for each of the age groups. For age groups we divided it into roughly a 5 year bucket for ages between 0 and 85. For over 85, we aggregated data into a single group for all ages. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the data for the New Site, AL population pyramid, which represents the New Site population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

    Key observations

    • Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for New Site, AL, is 27.9.
    • Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for New Site, AL, is 39.9.
    • Total dependency ratio for New Site, AL is 67.8.
    • Potential support ratio, which is the number of youth (working age population) per elderly, for New Site, AL is 2.5.
    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

    Age groups:

    • Under 5 years
    • 5 to 9 years
    • 10 to 14 years
    • 15 to 19 years
    • 20 to 24 years
    • 25 to 29 years
    • 30 to 34 years
    • 35 to 39 years
    • 40 to 44 years
    • 45 to 49 years
    • 50 to 54 years
    • 55 to 59 years
    • 60 to 64 years
    • 65 to 69 years
    • 70 to 74 years
    • 75 to 79 years
    • 80 to 84 years
    • 85 years and over

    Variables / Data Columns

    • Age Group: This column displays the age group for the New Site population analysis. Total expected values are 18 and are define above in the age groups section.
    • Population (Male): The male population in the New Site for the selected age group is shown in the following column.
    • Population (Female): The female population in the New Site for the selected age group is shown in the following column.
    • Total Population: The total population of the New Site for the selected age group is shown in the following column.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for New Site Population by Age. You can refer the same here

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ACS (2025). 2023 American Community Survey: DP02 | Selected Social Characteristics in the United States (ACS 5-Year Estimates Data Profiles) [Dataset]. https://data.census.gov/all/tables?q=DP02&g=9700000US4820280
Organization logo

2023 American Community Survey: DP02 | Selected Social Characteristics in the United States (ACS 5-Year Estimates Data Profiles)

2023: ACS 5-Year Estimates Data Profiles

Explore at:
3 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Feb 11, 2025
Dataset provided by
United States Census Bureauhttp://census.gov/
Authors
ACS
License

CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically

Time period covered
2023
Area covered
United States
Description

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, the decennial census is the official source of population totals for April 1st of each decennial year. In between censuses, the Census Bureau's Population Estimates Program produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units and the group quarters population for states and counties..Information about the American Community Survey (ACS) can be found on the ACS website. Supporting documentation including code lists, subject definitions, data accuracy, and statistical testing, and a full list of ACS tables and table shells (without estimates) can be found on the Technical Documentation section of the ACS website.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2019-2023 American Community Survey 5-Year Estimates.ACS data generally reflect the geographic boundaries of legal and statistical areas as of January 1 of the estimate year. For more information, see Geography Boundaries by Year..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 roughly 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 ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Users must consider potential differences in geographic boundaries, questionnaire content or coding, or other methodological issues when comparing ACS data from different years. Statistically significant differences shown in ACS Comparison Profiles, or in data users' own analysis, may be the result of these differences and thus might not necessarily reflect changes to the social, economic, housing, or demographic characteristics being compared. For more information, see Comparing ACS Data..Ancestry listed in this table refers to the total number of people who responded with a particular ancestry; for example, the estimate given for German represents the number of people who listed German as either their first or second ancestry. This table lists only the largest ancestry groups; see the Detailed Tables for more categories. Race and Hispanic origin groups are not included in this table because data for those groups come from the Race and Hispanic origin questions rather than the ancestry question (see Demographic Table)..Data for year of entry of the native population reflect the year of entry into the U.S. by people who were born in Puerto Rico or U.S. Island Areas or born outside the U.S. to a U.S. citizen parent and who subsequently moved to the U.S..The category "with a broadband Internet subscription" refers to those who said "Yes" to at least one of the following types of Internet subscriptions: Broadband such as cable, fiber optic, or DSL; a cellular data plan; satellite; a fixed wireless subscription; or other non-dial up subscription types..An Internet "subscription" refers to a type of service that someone pays for to access the Internet such as a cellular data plan, broadband such as cable, fiber optic or DSL, or other type of service. This will normally refer to a service that someone is billed for directly for Internet alone or sometimes as part of a bundle.."With a computer" includes those who said "Yes" to at least one of the following types of computers: Desktop or laptop; smartphone; tablet or other portable wireless computer; or some other type of computer..Caution should be used when comparing data for computer and Internet use before and after 2016. Changes in 2016 to the questions involving the wording as well as the response options resulted in changed response patterns in the data. Most noticeable are increases in overall computer ownership or use, the total of Internet subscriptions, satellite subscriptions, and cellular data plans for a smartphone or other mobile device. For more detailed information about these changes, see the 2016 American Community Survey Content Test Report for Computer and Internet Use located at https://www.census.gov/library/working-papers/2017/acs/2017_Lewis_01.html or the user note regarding changes in the 2016 questions located at https://www.census.gov/programs-surveys/acs/technical-documentation/user-notes/2017-03.html..Estimates of urban and rural populations, housing units...

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