100+ datasets found
  1. N

    Newport News, VA Census Bureau Gender Demographics and Population...

    • neilsberg.com
    Updated Feb 19, 2024
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    Neilsberg Research (2024). Newport News, VA Census Bureau Gender Demographics and Population Distribution Across Age Datasets [Dataset]. https://www.neilsberg.com/research/datasets/e19aada7-52cf-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
    Newport News, Virginia
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

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

    Content

    The dataset constitues the following two datasets across these two themes

    • Newport News, VA Population Breakdown by Gender
    • Newport News, VA 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/.

  2. n

    Census Block

    • geohub.nnva.gov
    • hub.arcgis.com
    Updated Dec 7, 2023
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    City of Newport News (2023). Census Block [Dataset]. https://geohub.nnva.gov/datasets/census-block/api
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    Dataset updated
    Dec 7, 2023
    Dataset authored and provided by
    City of Newport News
    Area covered
    Description

    The 2020 Census data only includes basic information about total population, race, housing occupancy and group quarters. No long form census was done for this Census cycle. Census Blocks are statistical areas bounded on all sides by visible features, such as streets, roads, streams, and railroad tracks, and/or by nonvisible boundaries such as city, town, township, and county limits, and short line-of-sight extensions of streets and roads. Census blocks are relatively small in area; for example, a block in a city bounded by streets. However, census blocks in remote areas are often large and irregular and may even be many square miles in area. A census block is the smallest geographic unit used by the United States Census Bureau for tabulation of 100-percent data (data collected from all houses, rather than a sample of houses).

  3. News desert counties: demographics in the U.S. 2024

    • statista.com
    Updated Jun 25, 2025
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    Statista (2025). News desert counties: demographics in the U.S. 2024 [Dataset]. https://www.statista.com/statistics/1327972/news-deserts-demographic-profile-us/
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    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    United States
    Description

    According to a study conducted in 2024 using the most recently available data, the average poverty rate in news deserts in the United States (counties without access to or with very limited access to local news) was around five percent higher than the country average, at ** percent. Citizens living in counties without newspapers were also earning a lower median annual income than the general population average, with the figure estimated at less than ****** U.S. dollars compared to more than **** thousand U.S. dollars for the U.S. as a whole.

  4. n

    Census Block Group

    • geohub.nnva.gov
    • hub.arcgis.com
    Updated Dec 7, 2023
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    City of Newport News (2023). Census Block Group [Dataset]. https://geohub.nnva.gov/datasets/nngov::census-block-group-1
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    Dataset updated
    Dec 7, 2023
    Dataset authored and provided by
    City of Newport News
    Area covered
    Description

    The 2020 Census data only includes basic information about total population, race, housing occupancy and group quarters. No long form census was done for this Census cycle. A Census Block Group is a geographical unit used by the United States Census Bureau which is between the Census Tract and the Census Block. It is the smallest geographical unit for which the bureau publishes sample data, i.e. data which is only collected from a fraction of all households. A BG usually covers a contiguous area. Each census tract contains at least one BG, and BGs are uniquely numbered within census tract. Within the standard census geographic hierarchy, BGs never cross county or census tract boundaries, but may cross the boundaries of other geographic entities like county subdivisions, places, urban areas, voting districts, congressional districts, and American Indian / Alaska Native / Native Hawaiian areas. BGs have a valid code range of 0 through 9. BGs coded 0 were intended to only include water area, no land area, and they are generally in territorial seas, coastal water, and Great Lakes water areas.

  5. d

    Census Tract Top 50 American Community Survey Data

    • catalog.data.gov
    Updated Feb 28, 2025
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    City of Seattle ArcGIS Online (2025). Census Tract Top 50 American Community Survey Data [Dataset]. https://catalog.data.gov/dataset/census-tract-top-50-american-community-survey-data
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    Dataset updated
    Feb 28, 2025
    Dataset provided by
    City of Seattle ArcGIS Online
    Description

    Data from: American Community Survey, 5-year SeriesKing County, Washington census tracts with nonoverlapping vintages of the 5-year American Community Survey (ACS) estimates starting in 2010 of over 50 attributes of the most requested data derived from the U.S. Census Bureau's demographic profiles (DP02-DP05). Also includes the most recent release annually with the vintage identified in the "ACS Vintage" field.The census tract boundaries match the vintage of the ACS data (currently 2010 and 2020) so please note the geographic changes between the decades. Tracts have been coded as being within the City of Seattle as well as assigned to neighborhood groups called "Community Reporting Areas". These areas were created after the 2000 census to provide geographically consistent neighborhoods through time for reporting U.S. Census Bureau data. This is not an attempt to identify neighborhood boundaries as defined by neighborhoods themselves.Vintages: 2010, 2015, 2020, 2021, 2022, <a href='https://www.census.gov/programs-surveys/acs/news/data-releases/2023/release.html#5yr' style='font-family:inherit;' target='_blank' rel='nofollow ugc noopener noreferr

  6. QuickFacts: Newport News city, Virginia

    • census.gov
    csv
    Updated Jul 1, 2024
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    United States Census Bureau > Communications Directorate - Center for New Media and Promotion (2024). QuickFacts: Newport News city, Virginia [Dataset]. https://www.census.gov/quickfacts/geo/chart/newportnewscityvirginia/AGE295219
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    csvAvailable download formats
    Dataset updated
    Jul 1, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    United States Census Bureau > Communications Directorate - Center for New Media and Promotion
    License

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

    Area covered
    Newport News, Virginia
    Description

    U.S. Census Bureau QuickFacts statistics for Newport News city, Virginia. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.

  7. N

    Dataset for Newport News city, VA Census Bureau Income Distribution by Race

    • neilsberg.com
    Updated Jan 3, 2024
    + more versions
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    Neilsberg Research (2024). Dataset for Newport News city, VA Census Bureau Income Distribution by Race [Dataset]. https://www.neilsberg.com/research/datasets/80e5e016-9fc2-11ee-b48f-3860777c1fe6/
    Explore at:
    Dataset updated
    Jan 3, 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
    Newport News, Virginia
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Newport News city median household income by race. The dataset can be utilized to understand the racial distribution of Newport News city income.

    Content

    The dataset will have the following datasets when applicable

    Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

    • Newport News city, VA median household income breakdown by race betwen 2012 and 2022
    • Median Household Income by Racial Categories in Newport News city, VA (2022)

    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/.

    Interested in deeper insights and visual analysis?

    Explore our comprehensive data analysis and visual representations for a deeper understanding of Newport News city median household income by race. You can refer the same here

  8. USA 2020 Census Population Characteristics - Place Geographies

    • data-isdh.opendata.arcgis.com
    • scwp-lacounty.hub.arcgis.com
    Updated Jun 1, 2023
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    Esri (2023). USA 2020 Census Population Characteristics - Place Geographies [Dataset]. https://data-isdh.opendata.arcgis.com/maps/9c84c24c55a04c3b8317f37e536e6a8a
    Explore at:
    Dataset updated
    Jun 1, 2023
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    This layer shows total population counts by sex, age, and race groups data from the 2020 Census Demographic and Housing Characteristics. This is shown by Nation, Consolidated City, Census Designated Place, Incorporated Place boundaries. Each geography layer contains a common set of Census counts based on available attributes from the U.S. Census Bureau. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis.   To see the full list of attributes available in this service, go to the "Data" tab above, and then choose "Fields" at the top right. Each attribute contains definitions, additional details, and the formula for calculated fields in the field description.Vintage of boundaries and attributes: 2020 Demographic and Housing Characteristics Table(s): P1, H1, H3, P2, P3, P5, P12, P13, P17, PCT12 (Not all lines of these DHC tables are available in this feature layer.)Data downloaded from: U.S. Census Bureau’s data.census.gov siteDate the Data was Downloaded: May 25, 2023Geography Levels included: Nation, Consolidated City, Census Designated Place, Incorporated PlaceNational Figures: included in Nation layer The United States Census Bureau Demographic and Housing Characteristics: 2020 Census Results 2020 Census Data Quality Geography & 2020 Census Technical Documentation Data Table Guide: includes the final list of tables, lowest level of geography by table and table shells for the Demographic Profile and Demographic and Housing Characteristics.News & Updates This layer is ready to be used in ArcGIS Pro, ArcGIS Online and its configurable apps, Story Maps, dashboards, Notebooks, Python, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite the U.S. Census Bureau when using this data. Data Processing Notes: These 2020 Census boundaries come from the US Census TIGER geodatabases. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For Census tracts and block groups, 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 and block group 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 unchanged and available as attributes within the data table (units are square meters).  The layer contains all US states, Washington D.C., and Puerto Rico. Census tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99). Block groups that fall within the same criteria (Block Group denoted as 0 with no area land) have also been removed.Percentages and derived counts, are calculated values (that can be identified by the "_calc_" stub in the field name). Field alias names were created based on the Table Shells file available from the Data Table Guide for the Demographic Profile and Demographic and Housing Characteristics. Not all lines of all tables listed above are included in this layer. Duplicative counts were dropped. For example, P0030001 was dropped, as it is duplicative of P0010001.To protect the privacy and confidentiality of respondents, their data has been protected using differential privacy techniques by the U.S. Census Bureau.

  9. O

    Census Variables (5-year Estimates)

    • data.mesaaz.gov
    • citydata.mesaaz.gov
    application/rdfxml +5
    Updated Mar 3, 2025
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    US Census (2025). Census Variables (5-year Estimates) [Dataset]. https://data.mesaaz.gov/Census/Census-Variables-5-year-Estimates-/9nqf-ygw6
    Explore at:
    csv, application/rdfxml, application/rssxml, json, tsv, xmlAvailable download formats
    Dataset updated
    Mar 3, 2025
    Dataset authored and provided by
    US Census
    Description

    Selected American Community Survey (ACS) variables from Mesa and other nearby municipalities. Visit https://www.census.gov/data/developers/data-sets/acs-5year.html for more information about the US Census Bureau's ACS ongoing survey. See https://www.census.gov/programs-surveys/acs/news/data-releases.html for data annual release schedules. This dataset uses 5-year estimates.

    Disclaimer: The centroid, internal point, and geometry columns are not consistent across years. 2023 data uses the last geometries from https://data.mesaaz.gov/Census/Mesa-Census-Tracts-To-City-Boundary-v2022/cbxq-2sd2/about_data">Mesa Census Tracts to City Boundary v2022 and calculated centroids and internal points.

  10. n

    Census Block

    • geohub.nnva.gov
    Updated Sep 4, 2018
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    City of Newport News (2018). Census Block [Dataset]. https://geohub.nnva.gov/maps/nngov::census-block?appid=80d9c70077ee4223996cd66cf73f29eb&edit=true
    Explore at:
    Dataset updated
    Sep 4, 2018
    Dataset authored and provided by
    City of Newport News
    Area covered
    Description

    This map service represents Census Blocks for the City of Newport News. A census block is the smallest geographic unit used by the United States Census Bureau for tabulation of 100-percent data (data collected from all houses, rather than a sample of houses).

  11. a

    Population Density in the US 2020 Census

    • hub.arcgis.com
    • data-bgky.hub.arcgis.com
    Updated Jun 20, 2024
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    University of South Florida GIS (2024). Population Density in the US 2020 Census [Dataset]. https://hub.arcgis.com/maps/58e4ee07a0e24e28949903511506a8e4
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    Dataset updated
    Jun 20, 2024
    Dataset authored and provided by
    University of South Florida GIS
    Area covered
    Description

    This map shows population density of the United States. Areas in darker magenta have much higher population per square mile than areas in orange or yellow. Data is from the U.S. Census Bureau’s 2020 Census Demographic and Housing Characteristics. The map's layers contain total population counts by sex, age, and race groups for Nation, State, County, Census Tract, and Block Group in the United States and Puerto Rico. From the Census:"Population density allows for broad comparison of settlement intensity across geographic areas. In the U.S., population density is typically expressed as the number of people per square mile of land area. The U.S. value is calculated by dividing the total U.S. population (316 million in 2013) by the total U.S. land area (3.5 million square miles).When comparing population density values for different geographic areas, then, it is helpful to keep in mind that the values are most useful for small areas, such as neighborhoods. For larger areas (especially at the state or country scale), overall population density values are less likely to provide a meaningful measure of the density levels at which people actually live, but can be useful for comparing settlement intensity across geographies of similar scale." SourceAbout the dataYou can use this map as is and you can also modify it to use other attributes included in its layers. This map's layers contain total population counts by sex, age, and race groups data from the 2020 Census Demographic and Housing Characteristics. This is shown by Nation, State, County, Census Tract, Block Group boundaries. Each geography layer contains a common set of Census counts based on available attributes from the U.S. Census Bureau. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis.Vintage of boundaries and attributes: 2020 Demographic and Housing Characteristics Table(s): P1, H1, H3, P2, P3, P5, P12, P13, P17, PCT12 (Not all lines of these DHC tables are available in this feature layer.)Data downloaded from: U.S. Census Bureau’s data.census.gov siteDate the Data was Downloaded: May 25, 2023Geography Levels included: Nation, State, County, Census Tract, Block GroupNational Figures: included in Nation layer The United States Census Bureau Demographic and Housing Characteristics: 2020 Census Results 2020 Census Data Quality Geography & 2020 Census Technical Documentation Data Table Guide: includes the final list of tables, lowest level of geography by table and table shells for the Demographic Profile and Demographic and Housing Characteristics.News & Updates This map is ready to be used in ArcGIS Pro, ArcGIS Online and its configurable apps, Story Maps, dashboards, Notebooks, Python, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite the U.S. Census Bureau when using this data. Data Processing Notes: These 2020 Census boundaries come from the US Census TIGER geodatabases. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For Census tracts and block groups, 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 and block group 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 unchanged and available as attributes within the data table (units are square meters).  The layer contains all US states, Washington D.C., and Puerto Rico. Census tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99). Block groups that fall within the same criteria (Block Group denoted as 0 with no area land) have also been removed.Percentages and derived counts, are calculated values (that can be identified by the "_calc_" stub in the field name). Field alias names were created based on the Table Shells file available from the Data Table Guide for the Demographic Profile and Demographic and Housing Characteristics. Not all lines of all tables listed above are included in this layer. Duplicative counts were dropped. For example, P0030001 was dropped, as it is duplicative of P0010001.To protect the privacy and confidentiality of respondents, their data has been protected using differential privacy techniques by the U.S. Census Bureau.

  12. D

    Selected Demographic and Housing Estimates (DP05)

    • data.seattle.gov
    application/rdfxml +5
    Updated Oct 22, 2024
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    (2024). Selected Demographic and Housing Estimates (DP05) [Dataset]. https://data.seattle.gov/dataset/Selected-Demographic-and-Housing-Estimates-DP05-/7hv2-dkb2
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    csv, application/rssxml, application/rdfxml, xml, tsv, jsonAvailable download formats
    Dataset updated
    Oct 22, 2024
    Description

    Data from: American Community Survey, 5-year Series


    King County, Washington census tracts with nonoverlapping vintages of the 5-year American Community Survey (ACS) estimates starting in 2010 from the U.S. Census Bureau's demographic and housing estimates (DP05). Also includes the most recent release annually with the vintage identified in the "ACS Vintage" field.

    The census tract boundaries match the vintage of the ACS data (currently 2010 and 2020) so please note the geographic changes between the decades.

    Tracts have been coded as being within the City of Seattle as well as assigned to neighborhood groups called "Community Reporting Areas". These areas were created after the 2000 census to provide geographically consistent neighborhoods through time for reporting U.S. Census Bureau data. This is not an attempt to identify neighborhood boundaries as defined by neighborhoods themselves.

    Vintages: 2010, 2015, 2020, 2021, 2022, 2023
    ACS Table(s): DP05


    The United States Census Bureau's American Community Survey (ACS):
    This 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 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)<span style='font-family:inherit;

  13. O

    Census Variables (1-year Estimates)

    • data.mesaaz.gov
    • citydata.mesaaz.gov
    • +1more
    application/rdfxml +5
    Updated Oct 9, 2024
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    US Census (2024). Census Variables (1-year Estimates) [Dataset]. https://data.mesaaz.gov/Census/Census-Variables-1-year-Estimates-/n5gn-m5c3
    Explore at:
    csv, application/rssxml, json, tsv, xml, application/rdfxmlAvailable download formats
    Dataset updated
    Oct 9, 2024
    Dataset authored and provided by
    US Census
    Description

    Selected American Community Survey (ACS) variables from Mesa and other nearby municipalities. Visit https://www.census.gov/data/developers/data-sets/acs-1year.html for more information about the US Census Bureau's ACS ongoing survey. See https://www.census.gov/programs-surveys/acs/news/data-releases.html for data annual release schedules.

    This dataset uses 1-year estimates.

  14. a

    USA 2020 Census Population Characteristics - Place Geographies

    • hub.arcgis.com
    Updated May 25, 2023
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    Vancouver Online Maps (2023). USA 2020 Census Population Characteristics - Place Geographies [Dataset]. https://hub.arcgis.com/datasets/8fe7368fd2024ed183572566a8fe96c3
    Explore at:
    Dataset updated
    May 25, 2023
    Dataset authored and provided by
    Vancouver Online Maps
    Area covered
    Description

    This CSV file shows total population counts by sex, age, and race groupsdata from the2020 CensusDemographic andHousing Characteristics. Thisisshown by Nation, Consolidated City, Census Designated Place, Incorporated Placeboundaries. Eachgeographylayercontainsa common set of Census countsbased on available attributes from the U.S. Census Bureau. There are alsoadditionalcalculated attributes related to this topic, which can be mapped or used within analysis.  Vintageof boundaries and attributes:2020Demographic andHousing CharacteristicsTable(s): P1, H1, H3, P2, P3, P5, P12, P13, P17, PCT12 (Not all lines of these DHC tables are available in this file.)Data downloaded from: U.S. Census Bureau’s data.census.gov siteDatethe Data was Downloaded: May 25, 2023Geography Levels included: Nation, Consolidated City, Census Designated Place, Incorporated PlaceNational Figures: included in Nation layerThe United States Census BureauDemographic andHousing Characteristics:2020 Census Results2020 Census Data QualityGeography &2020 CensusTechnical DocumentationData Table Guide: includes the final list of tables, lowest level of geography by table and table shells for the Demographic Profile and Demographic and Housing Characteristics.News & UpdatesData Processing Notes:These 2020 Census boundaries come from the US Census TIGER geodatabases.These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. ForCensustractsand block groups, 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 metersor larger (mid tolarge sizedwater bodies) are erased from the tractand block groupboundaries, 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 tomore accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are unchanged and available as attributes within the data table (units are square meters). The layercontainsall US states, Washington D.C., and Puerto Rico.Census tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Block groups that fall within the same criteria (Block Group denoted as 0 with no area land) have also been removed.Percentages and derived counts, are calculated values (that can beidentifiedby the "_calc_" stub in the field name).Field alias names were created based on the Table Shells file available from the Data Table Guide for theDemographic Profile and Demographic andHousing Characteristics.Not all lines of all tables listed above are included in this layer. Duplicative counts were dropped. For example, P0030001 was dropped, as it is duplicative of P0010001.To protect the privacy and confidentiality of respondents, their data has been protected usingdifferential privacy techniquesby the U.S. Census Bureau.

  15. F

    Population Estimate, Total, Hispanic or Latino, Some Other Race Alone...

    • fred.stlouisfed.org
    json
    Updated Dec 12, 2024
    + more versions
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    (2024). Population Estimate, Total, Hispanic or Latino, Some Other Race Alone (5-year estimate) in Newport News City, VA [Dataset]. https://fred.stlouisfed.org/series/B03002018E051700
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Dec 12, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Newport News, Virginia
    Description

    Graph and download economic data for Population Estimate, Total, Hispanic or Latino, Some Other Race Alone (5-year estimate) in Newport News City, VA (B03002018E051700) from 2009 to 2023 about Newport News City, VA; Virginia Beach; VA; latino; hispanic; estimate; persons; 5-year; population; and USA.

  16. g

    Webpage capture on the news article of authorities nix NGO census |...

    • gimi9.com
    Updated Mar 23, 2025
    + more versions
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    (2025). Webpage capture on the news article of authorities nix NGO census | gimi9.com [Dataset]. https://gimi9.com/dataset/mekong_webpage-capture-on-the-news-article-of-authorities-nix-ngo-census
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    Dataset updated
    Mar 23, 2025
    Description

    This webpage capture is the reference for labor incidents dataset. It contains news articles from local newspapers.

  17. F

    Population Estimate, Total, Not Hispanic or Latino, White Alone (5-year...

    • fred.stlouisfed.org
    json
    Updated Dec 12, 2024
    + more versions
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    (2024). Population Estimate, Total, Not Hispanic or Latino, White Alone (5-year estimate) in Newport News city, VA [Dataset]. https://fred.stlouisfed.org/series/B03002003E051700
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    jsonAvailable download formats
    Dataset updated
    Dec 12, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Newport News, Virginia
    Description

    Graph and download economic data for Population Estimate, Total, Not Hispanic or Latino, White Alone (5-year estimate) in Newport News city, VA (B03002003E051700) from 2009 to 2023 about Newport News City, VA; Virginia Beach; VA; white; non-hispanic; estimate; persons; 5-year; population; and USA.

  18. F

    Estimate of Median Household Income for Newport News City, VA

    • fred.stlouisfed.org
    json
    Updated Dec 20, 2024
    + more versions
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    (2024). Estimate of Median Household Income for Newport News City, VA [Dataset]. https://fred.stlouisfed.org/series/MHIVA51700A052NCEN
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    jsonAvailable download formats
    Dataset updated
    Dec 20, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Newport News, Virginia
    Description

    Graph and download economic data for Estimate of Median Household Income for Newport News City, VA (MHIVA51700A052NCEN) from 1989 to 2023 about Newport News City, VA; Virginia Beach; VA; households; median; income; and USA.

  19. D

    OCCUPATION BY MEDIAN EARNINGS IN THE PAST 12 MONTHS (B24021)

    • data.seattle.gov
    • hub.arcgis.com
    application/rdfxml +5
    Updated Oct 22, 2024
    + more versions
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    (2024). OCCUPATION BY MEDIAN EARNINGS IN THE PAST 12 MONTHS (B24021) [Dataset]. https://data.seattle.gov/dataset/OCCUPATION-BY-MEDIAN-EARNINGS-IN-THE-PAST-12-MONTH/9r58-famg
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    json, csv, application/rssxml, xml, tsv, application/rdfxmlAvailable download formats
    Dataset updated
    Oct 22, 2024
    Description

    Table from the American Community Survey (ACS) B24021 occupation by median earnings. These are multiple, nonoverlapping vintages of the 5-year ACS estimates of population and housing attributes starting in 2010 shown by the corresponding census tract vintage. Also includes the most recent release annually.


    King County, Washington census tracts with nonoverlapping vintages of the 5-year American Community Survey (ACS) estimates starting in 2010. Vintage identified in the "ACS Vintage" field.

    The census tract boundaries match the vintage of the ACS data (currently 2010 and 2020) so please note the geographic changes between the decades.

    Tracts have been coded as being within the City of Seattle as well as assigned to neighborhood groups called "Community Reporting Areas". These areas were created after the 2000 census to provide geographically consistent neighborhoods through time for reporting U.S. Census Bureau data. This is not an attempt to identify neighborhood boundaries as defined by neighborhoods themselves.

    Vintages: 2010, 2015, 2020, 2021, 2022, 2023
    ACS Table(s): B24021


    The United States Census Bureau's American Community Survey (ACS):
    This 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 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 <span style='font-family:inherit; margin:0px;

  20. D

    POVERTY STATUS IN THE PAST 12 MONTHS OF INDIVIDUALS BY SEX BY WORK...

    • data.seattle.gov
    • catalog.data.gov
    • +2more
    application/rdfxml +5
    Updated Oct 22, 2024
    + more versions
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    (2024). POVERTY STATUS IN THE PAST 12 MONTHS OF INDIVIDUALS BY SEX BY WORK EXPERIENCE (B17004) [Dataset]. https://data.seattle.gov/dataset/POVERTY-STATUS-IN-THE-PAST-12-MONTHS-OF-INDIVIDUAL/iqig-hn27
    Explore at:
    tsv, json, csv, xml, application/rssxml, application/rdfxmlAvailable download formats
    Dataset updated
    Oct 22, 2024
    Description

    Table from the American Community Survey (ACS) B17004 of poverty status in the past 12 months of individuals by sex by work experience. These are multiple, nonoverlapping vintages of the 5-year ACS estimates of population and housing attributes starting in 2010 shown by the corresponding census tract vintage. Also includes the most recent release annually.


    King County, Washington census tracts with nonoverlapping vintages of the 5-year American Community Survey (ACS) estimates starting in 2010. Vintage identified in the "ACS Vintage" field.

    The census tract boundaries match the vintage of the ACS data (currently 2010 and 2020) so please note the geographic changes between the decades.

    Tracts have been coded as being within the City of Seattle as well as assigned to neighborhood groups called "Community Reporting Areas". These areas were created after the 2000 census to provide geographically consistent neighborhoods through time for reporting U.S. Census Bureau data. This is not an attempt to identify neighborhood boundaries as defined by neighborhoods themselves.

    Vintages: 2010, 2015, 2020, 2021, 2022, 2023
    ACS Table(s): B17004


    The United States Census Bureau's American Community Survey (ACS):
    This 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 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 <span

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Close
Cite
Neilsberg Research (2024). Newport News, VA Census Bureau Gender Demographics and Population Distribution Across Age Datasets [Dataset]. https://www.neilsberg.com/research/datasets/e19aada7-52cf-11ee-804b-3860777c1fe6/

Newport News, VA Census Bureau Gender Demographics and Population Distribution Across Age Datasets

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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
Newport News, Virginia
Dataset funded by
Neilsberg Research
Description
About this dataset

Context

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

Content

The dataset constitues the following two datasets across these two themes

  • Newport News, VA Population Breakdown by Gender
  • Newport News, VA 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/.

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