100+ datasets found
  1. N

    Day, New York Age Group Population Dataset: A Complete Breakdown of Day town...

    • neilsberg.com
    csv, json
    Updated Feb 22, 2025
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    Neilsberg Research (2025). Day, New York Age Group Population Dataset: A Complete Breakdown of Day town Age Demographics from 0 to 85 Years and Over, Distributed Across 18 Age Groups // 2025 Edition [Dataset]. https://www.neilsberg.com/research/datasets/451d4e52-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 York, Day
    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 Day town 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 Day town. The dataset can be utilized to understand the population distribution of Day town by age. For example, using this dataset, we can identify the largest age group in Day town.

    Key observations

    The largest age group in Day, New York was for the group of age 60 to 64 years years with a population of 154 (18.16%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Day, New York was the 5 to 9 years years with a population of 3 (0.35%). 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 Day town is shown in this column.
    • % of Total Population: This column displays the population of each age group as a proportion of Day town 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 Day town Population by Age. You can refer the same here

  2. Decennial Census: Redistricting Data (PL 94-171)

    • catalog.data.gov
    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    Updated Jul 19, 2023
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    U.S. Census Bureau (2023). Decennial Census: Redistricting Data (PL 94-171) [Dataset]. https://catalog.data.gov/dataset/decennial-census-redistricting-data-pl-94-171-ad138
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    Dataset updated
    Jul 19, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Description

    Public Law 94-171, enacted in 1975, directs the Census Bureau to make special preparations to provide redistricting data needed by the 50 states. It specifies that within a year following Census Day, the Census Bureau must send the governor and legislative leadership in each state the data they need to redraw districts for the United States Congress and state legislature. To meet this legal requirement, the Census Bureau set up a program that affords state officials an opportunity before each decennial census to define the small areas for which they wish to receive census population totals for redistricting purposes. Officials may receive data for voting districts (e.g., election precincts, wards) and state house and senate districts, in addition to standard census geographic areas such as counties, cities, census tracts, and tabulation blocks. State participation in defining areas is voluntary and nonpartisan.

  3. Children missing education - CME at census date

    • explore-education-statistics.service.gov.uk
    Updated Feb 29, 2024
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    Department for Education (2024). Children missing education - CME at census date [Dataset]. https://explore-education-statistics.service.gov.uk/data-catalogue/data-set/6e3e6258-d59f-454b-8cde-575b35290487
    Explore at:
    Dataset updated
    Feb 29, 2024
    Dataset authored and provided by
    Department for Educationhttps://gov.uk/dfe
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    The number of children missing education at the census date in each term. Includes Autumn 2022 to Autumn 2023.

  4. N

    Dataset for Day, New York Census Bureau Income Distribution by Gender

    • neilsberg.com
    Updated Jan 9, 2024
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    Neilsberg Research (2024). Dataset for Day, New York Census Bureau Income Distribution by Gender [Dataset]. https://www.neilsberg.com/research/datasets/b3ab969b-abcb-11ee-8b96-3860777c1fe6/
    Explore at:
    Dataset updated
    Jan 9, 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
    Day, New York
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Day town household income by gender. The dataset can be utilized to understand the gender-based income distribution of Day town 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).

    • Day, New York annual median income by work experience and sex dataset : Aged 15+, 2010-2022 (in 2022 inflation-adjusted dollars)
    • Day, New York annual income distribution by work experience and gender dataset (Number of individuals ages 15+ with income, 2021)

    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 Day town income distribution by gender. You can refer the same here

  5. w

    Dataset of books in the Economic census studies series

    • workwithdata.com
    Updated Apr 17, 2025
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    Work With Data (2025). Dataset of books in the Economic census studies series [Dataset]. https://www.workwithdata.com/datasets/books?f=1&fcol0=j0-book_series&fop0=%3D&fval0=Economic+census+studies&j=1&j0=book_series
    Explore at:
    Dataset updated
    Apr 17, 2025
    Dataset authored and provided by
    Work With Data
    License

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

    Description

    This dataset is about books. It has 2 rows and is filtered where the book series is Economic census studies. It features 9 columns including author, publication date, language, and book publisher.

  6. d

    ACS 5-Year Housing Characteristics DC Census Tract

    • catalog.data.gov
    • adoptablock.dc.gov
    • +5more
    Updated May 7, 2025
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    City of Washington, DC (2025). ACS 5-Year Housing Characteristics DC Census Tract [Dataset]. https://catalog.data.gov/dataset/acs-5-year-housing-characteristics-dc-census-tract
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    Dataset updated
    May 7, 2025
    Dataset provided by
    City of Washington, DC
    Area covered
    Washington
    Description

    Occupancy status, Units, Rooms, Year built, Owner/Renter (Tenure), Mortgage/Rent costs, and more. This service is updated annually with American Community Survey (ACS) 5-year data. Contact: District of Columbia, Office of Planning. Email: planning@dc.gov. Geography: Census Tracts. Current Vintage: 2019-2023. ACS Table(s): DP04. Data downloaded from: Census Bureau's API for American Community Survey. Date of API call: January 2, 2025. National Figures: data.census.gov. 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. Boundaries come from the US Census TIGER geodatabases. 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 clipped for cartographic purposes. For census tracts, the water cutouts are derived from a subset of the 2020 AWATER (Area Water) boundaries offered by TIGER. 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). Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page. Data processed using R statistical package and ArcGIS Desktop. Margin of Error was not included in this layer but is available from the Census Bureau. Contact the Office of Planning for more information about obtaining Margin of Error values.

  7. d

    ACS 5-Year Demographic Characteristics DC Census Tract

    • catalog.data.gov
    • opdatahub.dc.gov
    • +3more
    Updated Apr 30, 2025
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    City of Washington, DC (2025). ACS 5-Year Demographic Characteristics DC Census Tract [Dataset]. https://catalog.data.gov/dataset/acs-5-year-demographic-characteristics-dc-census-tract
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    Dataset updated
    Apr 30, 2025
    Dataset provided by
    City of Washington, DC
    Area covered
    Washington
    Description

    Age, Sex, Race, Ethnicity, Total Housing Units, and Voting Age Population. This service is updated annually with American Community Survey (ACS) 5-year data. Contact: District of Columbia, Office of Planning. Email: planning@dc.gov. Geography: Census Tracts. Current Vintage: 2019-2023. ACS Table(s): DP05. Data downloaded from: Census Bureau's API for American Community Survey. Date of API call: January 2, 2025. National Figures: data.census.gov. 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. Boundaries come from the US Census TIGER geodatabases. 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 clipped for cartographic purposes. For census tracts, the water cutouts are derived from a subset of the 2020 AWATER (Area Water) boundaries offered by TIGER. 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). Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page. Data processed using R statistical package and ArcGIS Desktop. Margin of Error was not included in this layer but is available from the Census Bureau. Contact the Office of Planning for more information about obtaining Margin of Error values.

  8. Characteristics of those not in employment as of Census Day 2021: broad...

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Sep 15, 2023
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    Office for National Statistics (2023). Characteristics of those not in employment as of Census Day 2021: broad industry estimates [Dataset]. https://www.ons.gov.uk/employmentandlabourmarket/peoplenotinwork/unemployment/datasets/characteristicsofthosenotinemploymentasofcensusday2021broadindustryestimates
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    xlsxAvailable download formats
    Dataset updated
    Sep 15, 2023
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Census 2021 data outlining the primary industry for people who were not employed on census day. This dataset is at the section level of the Standard Industrial Classification.

  9. d

    Census 2020 Block

    • catalog.data.gov
    • data.virginia.gov
    • +4more
    Updated Mar 18, 2023
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    County of Fairfax (2023). Census 2020 Block [Dataset]. https://catalog.data.gov/dataset/census-2020-block
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    Dataset updated
    Mar 18, 2023
    Dataset provided by
    County of Fairfax
    Description

    The 2020 decennial census blocks within Fairfax County. This data was acquired from the US Census Bureau, with fields slightly customized by Fairfax County Department of Management and Budget, Economic, Demographic, and Statistical Research unit.Contact: Department of Management & BudgetData Accessibility: Publicly AvailableUpdate Frequency: As NeededLast Revision Date: 1/6/2023Creation Date: 1/6/2023Feature Dataset Name: DIT_GIS.DSMHSMGR.FEDERAL_CENSUS_2020Layer Name: DIT_GIS.DSMHSMGR.FEDERAL_BLOCK_2020

  10. d

    EnviroAtlas - Memphis, TN - Domestic Water Use per Day by U.S. Census Block...

    • catalog.data.gov
    • data.amerigeoss.org
    • +1more
    Updated Apr 11, 2025
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    U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas (Point of Contact) (2025). EnviroAtlas - Memphis, TN - Domestic Water Use per Day by U.S. Census Block Group [Dataset]. https://catalog.data.gov/dataset/enviroatlas-memphis-tn-domestic-water-use-per-day-by-u-s-census-block-group4
    Explore at:
    Dataset updated
    Apr 11, 2025
    Dataset provided by
    U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas (Point of Contact)
    Area covered
    Tennessee, Memphis
    Description

    As included in this EnviroAtlas dataset, the community level domestic water use is calculated using locally available water use data per capita in gallons of water per day (GPD), distributed dasymetrically, and summarized by census block group. Domestic water use, as defined in this case, is intended to represent residential indoor and outdoor water use (e.g., cooking, hygiene, landscaping, pools, etc.) for primary residences (i.e., excluding second homes and tourism rentals). For the purposes of this metric, these publicly-supplied estimates are also applied and considered representative of local self-supplied water use. Residential water use in the EnviroAtlas-defined study area is estimated at between 81 and 100 GPD. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

  11. N

    Day, New York Population Breakdown by Gender and Age Dataset: Male and...

    • neilsberg.com
    csv, json
    Updated Feb 24, 2025
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    Neilsberg Research (2025). Day, New York Population Breakdown by Gender and Age Dataset: Male and Female Population Distribution Across 18 Age Groups // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/day-ny-population-by-gender/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Feb 24, 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 York
    Variables measured
    Male and Female Population Under 5 Years, Male and Female Population over 85 years, 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, Male and Female Population Between 40 and 44 years, and 8 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) Population (Male), (b) Population (Female), and (c) Gender Ratio (Males per 100 Females), we initially analyzed and categorized the data for each of the gender classifications (biological sex) reported by the US Census Bureau across 18 age groups, ranging from under 5 years to 85 years and above. These age groups are described above in the variables section. 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 population of Day town by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Day town. The dataset can be utilized to understand the population distribution of Day town by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Day town. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Day town.

    Key observations

    Largest age group (population): Male # 60-64 years (70) | Female # 60-64 years (84). 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

    Scope of gender :

    Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

    Variables / Data Columns

    • Age Group: This column displays the age group for the Day town population analysis. Total expected values are 18 and are define above in the age groups section.
    • Population (Male): The male population in the Day town is shown in the following column.
    • Population (Female): The female population in the Day town is shown in the following column.
    • Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Day town for each age group.

    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 Day town Population by Gender. You can refer the same here

  12. d

    EnviroAtlas - Chicago, IL - Domestic Water Use per Day by U.S. Census Block...

    • catalog.data.gov
    • datasets.ai
    Updated Apr 11, 2025
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    U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas (Point of Contact) (2025). EnviroAtlas - Chicago, IL - Domestic Water Use per Day by U.S. Census Block Group [Dataset]. https://catalog.data.gov/dataset/enviroatlas-chicago-il-domestic-water-use-per-day-by-u-s-census-block-group3
    Explore at:
    Dataset updated
    Apr 11, 2025
    Dataset provided by
    U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas (Point of Contact)
    Area covered
    Chicago, Illinois
    Description

    As included in the EnviroAtlas, the community level domestic water use is calculated using locally available water use data per capita in gallons of water per day (GPD), distributed dasymetrically, and summarized by census block group. Domestic water use, as defined in this case, is intended to represent residential indoor and outdoor water use (e.g., cooking hygiene, landscaping, pools, etc.) for primary residences (i.e., excluding second homes and tourism rentals). For the purposes of this metric, these publicly-supplied estimates are also applied and considered representative of local self-supplied water use. Local use data, as prepared for several cities for the Chicago Metropolitan Agency for Planning and at the county level by USGS, were used. Within the Chicago study area, the 1998-2010 average estimates ranged from 33 to 196 GPD. This dataset was produced by the U.S. EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

  13. Output Area (2011) to LAD (Census Day 1961) Best Fit Lookup in EW - Dataset...

    • ckan.publishing.service.gov.uk
    Updated Jan 4, 2024
    + more versions
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    ckan.publishing.service.gov.uk (2024). Output Area (2011) to LAD (Census Day 1961) Best Fit Lookup in EW - Dataset - data.gov.uk [Dataset]. https://ckan.publishing.service.gov.uk/dataset/output-area-2011-to-lad-census-day-1961-best-fit-lookup-in-ew
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    Dataset updated
    Jan 4, 2024
    Dataset provided by
    CKANhttps://ckan.org/
    Description

    This file is a best fit lookup between output areas (December 2011) and local authority districts (December 1961) in England and Wales (File Size - 3 MB)Field Names - OA11CD, LAD61CD, LAD61NM, FIDField Types - Text, Text, TextField Lengths - 9, 9, 42FID = The FID, or Feature ID is created by the publication process when the names and codes / lookup products are published to the Open Geography portal.

  14. d

    ARCHIVED: COVID-19 Cases by Geography Over Time

    • catalog.data.gov
    Updated Mar 29, 2025
    + more versions
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    data.sfgov.org (2025). ARCHIVED: COVID-19 Cases by Geography Over Time [Dataset]. https://catalog.data.gov/dataset/covid-19-cases-by-geography-and-date
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    Dataset updated
    Mar 29, 2025
    Dataset provided by
    data.sfgov.org
    Description

    A. SUMMARY This dataset contains COVID-19 positive confirmed cases aggregated by several different geographic areas and by day. COVID-19 cases are mapped to the residence of the individual and shown on the date the positive test was collected. In addition, 2016-2020 American Community Survey (ACS) population estimates are included to calculate the cumulative rate per 10,000 residents. Dataset covers cases going back to 3/2/2020 when testing began. This data may not be immediately available for recently reported cases and data will change to reflect as information becomes available. Data updated daily. Geographic areas summarized are: 1. Analysis Neighborhoods 2. Census Tracts 3. Census Zip Code Tabulation Areas B. HOW THE DATASET IS CREATED Addresses from the COVID-19 case data are geocoded by the San Francisco Department of Public Health (SFDPH). Those addresses are spatially joined to the geographic areas. Counts are generated based on the number of address points that match each geographic area for a given date. The 2016-2020 American Community Survey (ACS) population estimates provided by the Census are used to create a cumulative rate which is equal to ([cumulative count up to that date] / [acs_population]) * 10000) representing the number of total cases per 10,000 residents (as of the specified date). COVID-19 case data undergo quality assurance and other data verification processes and are continually updated to maximize completeness and accuracy of information. This means data may change for previous days as information is updated. C. UPDATE PROCESS Geographic analysis is scripted by SFDPH staff and synced to this dataset daily at 05:00 Pacific Time. D. HOW TO USE THIS DATASET San Francisco population estimates for geographic regions can be found in a view based on the San Francisco Population and Demographic Census dataset. These population estimates are from the 2016-2020 5-year American Community Survey (ACS). This dataset can be used to track the spread of COVID-19 throughout the city, in a variety of geographic areas. Note that the new cases column in the data represents the number of new cases confirmed in a certain area on the specified day, while the cumulative cases column is the cumulative total of cases in a certain area as of the specified date. Privacy rules in effect To protect privacy, certain rules are in effect: 1. Any area with a cumulative case count less than 10 are dropped for all days the cumulative count was less than 10. These will be null values. 2. Once an area has a cumulative case count of 10 or greater, that area will have a new row of case data every day following. 3. Cases are dropped altogether for areas where acs_population < 1000 4. Deaths data are not included in this dataset for privacy reasons. The low COVID-19 death rate in San Francisco, along with other publicly available information on deaths, means that deaths data by geography and day is too granular and potentially risky. Read more in our privacy guidelines Rate suppression in effect where counts lower than 20 Rates are not calculated unless the cumulative case count is greater than or equal to 20. Rates are generally unstable at small numbers, so we avoid calculating them directly. We advise you to apply the same approach as this is best practice in epidemiology. A note on Census ZIP Code Tabulation Areas (ZCTAs) ZIP Code Tabulation Areas are spec

  15. EnviroAtlas - New Bedford, MA - Domestic Water Use per Day by U.S. Census...

    • catalog.data.gov
    • gimi9.com
    • +1more
    Updated Apr 11, 2025
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    US Environmental Protection Agency, Research Triangle Park (Point of Contact) (2025). EnviroAtlas - New Bedford, MA - Domestic Water Use per Day by U.S. Census Block Group [Dataset]. https://catalog.data.gov/dataset/enviroatlas-new-bedford-ma-domestic-water-use-per-day-by-u-s-census-block-group4
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    Dataset updated
    Apr 11, 2025
    Dataset provided by
    United States Environmental Protection Agencyhttp://www.epa.gov/
    Area covered
    Massachusetts, New Bedford
    Description

    As included in this EnviroAtlas dataset, the community level domestic water use is calculated using locally available water use data per capita in gallons of water per day (GPD), distributed dasymetrically, and summarized by census block group. Domestic water use, as defined in this case, is intended to represent residential indoor and outdoor water use (e.g., cooking hygiene, landscaping, pools, etc.) for primary residences (i.e., excluding second homes and tourism rentals). For the purposes of this metric, these publicly-supplied estimates are also applied and considered representative of local self-supplied water use. Residential Gallons per Capita per Day (RGPCD) in the EnviroAtlas-defined study area is available through the Commonwealth of Massachusetts' (mass.gov). Within the New Bedford boundary, there are five service providers with 2008-2013 estimates ranging from 45 to 76 GPD.This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

  16. d

    EnviroAtlas - Los Angeles, CA - Domestic Water Demand per Day by U.S. Census...

    • catalog.data.gov
    • s.cnmilf.com
    Updated Apr 11, 2025
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    U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas (Point of Contact) (2025). EnviroAtlas - Los Angeles, CA - Domestic Water Demand per Day by U.S. Census Block Group [Dataset]. https://catalog.data.gov/dataset/enviroatlas-los-angeles-ca-domestic-water-demand-per-day-by-u-s-census-block-group4
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    Dataset updated
    Apr 11, 2025
    Dataset provided by
    U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas (Point of Contact)
    Area covered
    California, Los Angeles
    Description

    As included in this EnviroAtlas dataset, community level domestic water demand is calculated using locally available water use data per capita in gallons of water per day (GPD), distributed dasymetrically, and summarized by Census block group. Domestic water use, as defined in this case, is intended to represent residential indoor and outdoor water use (e.g., cooking, hygiene, landscaping, pools, etc.) for primary residences (i.e., excluding second homes and tourism rentals). For the purposes of this metric, these publicly-supplied estimates are also applied and considered representative of local self-supplied water use. Specific to Los Angeles, CA, Urban Water Management Plans (available via data.ca.gov and individual providers) and an average of available Residential Gallons Per Capita per Day (R-GPCD) data (available through the California State Water Resources Control Board (CSWRCB)) were used. Within the EnviroAtlas community boundary, provider estimates range from 42 to 255 GPD. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

  17. d

    EnviroAtlas - Portland, OR - Domestic Water Use per Day by U.S. Census Block...

    • catalog.data.gov
    • s.cnmilf.com
    • +1more
    Updated Apr 11, 2025
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    U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas (Point of Contact) (2025). EnviroAtlas - Portland, OR - Domestic Water Use per Day by U.S. Census Block Group [Dataset]. https://catalog.data.gov/dataset/enviroatlas-portland-or-domestic-water-use-per-day-by-u-s-census-block-group5
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    Dataset updated
    Apr 11, 2025
    Dataset provided by
    U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas (Point of Contact)
    Area covered
    Portland, Oregon
    Description

    As included in the EnviroAtlas, the community level domestic water use is calculated using locally available water use data per capita in gallons of water per day (GPD), distributed dasymetrically, and summarized by census block group. Domestic water use, as defined in this case, is intended to represent residential indoor and outdoor water use (e.g., cooking hygiene, landscaping, pools, etc.) for primary residences (i.e., excluding second homes and tourism rentals). For the purposes of this metric, these publicly-supplied estimates are also applied and considered representative of local self-supplied water use. Local provider Water Management and Conservation Plans in Oregon and USGS Water Use estimates in Washington were used. Within the Portland boundary, the 2007-2013 estimates ranged from 58 to 120 GPD. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (http:/www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

  18. Vital Signs: Commute Time (by Place of Residence) – by metro

    • data.bayareametro.gov
    csv, xlsx, xml
    Updated Apr 23, 2020
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    U.S. Census Bureau (2020). Vital Signs: Commute Time (by Place of Residence) – by metro [Dataset]. https://data.bayareametro.gov/dataset/Vital-Signs-Commute-Time-by-Place-of-Residence-by-/pgkf-xrbd
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    csv, xlsx, xmlAvailable download formats
    Dataset updated
    Apr 23, 2020
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    U.S. Census Bureau
    Description

    VITAL SIGNS INDICATOR Commute Time (T3)

    FULL MEASURE NAME Commute time by residential location

    LAST UPDATED April 2020

    DESCRIPTION Commute time refers to the average number of minutes a commuter spends traveling to work on a typical day. The dataset includes metropolitan area, county, city, and census tract tables by place of residence.

    DATA SOURCE U.S. Census Bureau: Decennial Census (1980-2000) - via MTC/ABAG Bay Area Census http://www.bayareacensus.ca.gov/transportation.htm

    U.S. Census Bureau: American Community Survey Form B08013 (2006-2018; place of residence; overall time) Form C08136 (2006-2018; place of residence; time by mode) Form B08301 (2006-2018; place of residence) www.api.census.gov

    CONTACT INFORMATION vitalsigns.info@bayareametro.gov

    METHODOLOGY NOTES (across all datasets for this indicator) For the decennial Census datasets, breakdown of commute times was unavailable by mode; only overall data could be provided on a historical basis.

    For the American Community Survey datasets, 1-year rolling average data was used for all metros, region, and county geographic levels, while 5-year rolling average data was used for cities and tracts. This is due to the fact that more localized data is not included in the 1-year dataset across all Bay Area cities. Similarly, modal data is not available for every Bay Area city or census tract, even when the 5-year data is used for those localized geographies.

    Regional commute times were calculated by summing aggregate county travel times and dividing by the relevant population; similarly, modal commute time were calculated using aggregate times and dividing by the number of communities choosing that mode for the given geography. Census tract data is not available for tracts with insufficient numbers of residents.

    The metropolitan area comparison was performed for the nine-county San Francisco Bay Area in addition to the primary MSAs for the nine other major metropolitan areas.

  19. N

    Dataset for John Day, OR Census Bureau Demographics and Population...

    • neilsberg.com
    Updated Jul 24, 2024
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    Neilsberg Research (2024). Dataset for John Day, OR Census Bureau Demographics and Population Distribution Across Age // 2024 Edition [Dataset]. https://www.neilsberg.com/research/datasets/b79af57e-5460-11ee-804b-3860777c1fe6/
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    Dataset updated
    Jul 24, 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
    John Day
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the John Day population by age. The dataset can be utilized to understand the age distribution and demographics of John Day.

    Content

    The dataset constitues the following three datasets

    • John Day, OR Age Group Population Dataset: A complete breakdown of John Day age demographics from 0 to 85 years, distributed across 18 age groups
    • John Day, OR Age Cohorts Dataset: Children, Working Adults, and Seniors in John Day - Population and Percentage Analysis
    • John Day, OR Population Pyramid Dataset: Age Groups, Male and Female Population, and Total Population for Demographics Analysis

    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/.

  20. C

    COVID-19 Cases by Geography and Date (archived)

    • data.marincounty.gov
    csv, xlsx, xml
    Updated Feb 16, 2023
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    Marin Health and Human Services (2023). COVID-19 Cases by Geography and Date (archived) [Dataset]. https://data.marincounty.gov/Public-Health/COVID-19-Cases-by-Geography-and-Date-archived-/hhfr-mrmb
    Explore at:
    xml, xlsx, csvAvailable download formats
    Dataset updated
    Feb 16, 2023
    Dataset authored and provided by
    Marin Health and Human Services
    Description

    This dataset has been retired as of February 17, 2023. This dataset will be kept for historical purposes, but will no longer be updated. Similar data are available on the state’s open data portal: https://data.chhs.ca.gov/dataset/covid-19-time-series-metrics-by-county-and-state.

    A. DATASET DESCRIPTION This dataset contains COVID-19 positive confirmed cases aggregated by several different geographic areas and by day. COVID-19 cases are mapped to the residence of the individual and shown on the date the positive test was collected. In addition, 2019 American Community Survey (ACS) 5-year population estimates are included to calculate the cumulative rate per 10,000 residents.

    Dataset covers cases going back to March 18th, 2020 when the first person in Marin County tested positive for COVID-19. This data may not be immediately available for recently reported cases and data will change to reflect as information becomes available. Data updated daily.

    COVID-19 case data undergo quality assurance and other data verification processes and are continually updated to maximize completeness and accuracy of information. This means data may change for previous days as information is updated.

    Geographic areas summarized are: 1. City, Town, or Community Area 2. Census Tracts 3. Census ZIP Code Tabulation Areas (ZCTAs)

    B. HOW THE DATASET IS CREATED Addresses from the COVID-19 case data are geocoded by Marin County HHS. Those addresses are spatially joined to the geographic areas. Counts are generated based on the number of address points that match each geographic area for a given date.

    The 2019 ACS estimates for population provided by the Census are used to create a cumulative rate which is equal to ([cumulative count up to that date] / [acs_population]) * 10000) representing the number of total cases per 10,000 residents (as of the specified date).

    C. UPDATE PROCESS Geographic analysis is scripted by Marin HHS staff and synced to this dataset each day.

    D. HOW TO USE THIS DATASET This dataset can be used to track the spread of COVID-19 throughout Marin County in a variety of geographic areas. Note that the new cases column in the data represents the number of new cases confirmed in a certain area on the specified day, while the cumulative cases column is the cumulative total of cases in a certain area as of the specified date.

    Privacy rules in effect To protect privacy, certain rules are in effect: 1. Any area with a cumulative case count less than 10 are dropped for all days the cumulative count was less than 10. These will be null values. For example if a zip code did not have 10 cumulative cases until June 1, 2020 that location will not be included in the dataset until June 1. 2. Once an area has a cumulative case count of 10 or greater, that area will have a new row of case data every day following. 3. 3. Cases are dropped altogether for areas where acs_population < 1000. Some adjacent geographic areas may be combined until the ACS population exceeds 1,000 to still provide information for these regions.

    Note: 14-day case rate or 30-day case rate where the counts are lower than 20 may be unstable. We advise caution in interpreting rates at these small numbers.

    A note on Census ZIP Code Tabulation Areas (ZCTAs) ZIP Code Tabulation Areas are special boundaries created by the U.S. Census based on ZIP Codes developed by the USPS. They are not, however, the same thing. ZCTAs are areal representations of routes.

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Neilsberg Research (2025). Day, New York Age Group Population Dataset: A Complete Breakdown of Day town Age Demographics from 0 to 85 Years and Over, Distributed Across 18 Age Groups // 2025 Edition [Dataset]. https://www.neilsberg.com/research/datasets/451d4e52-f122-11ef-8c1b-3860777c1fe6/

Day, New York Age Group Population Dataset: A Complete Breakdown of Day town Age Demographics from 0 to 85 Years and Over, Distributed Across 18 Age Groups // 2025 Edition

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 York, Day
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 Day town 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 Day town. The dataset can be utilized to understand the population distribution of Day town by age. For example, using this dataset, we can identify the largest age group in Day town.

Key observations

The largest age group in Day, New York was for the group of age 60 to 64 years years with a population of 154 (18.16%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Day, New York was the 5 to 9 years years with a population of 3 (0.35%). 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 Day town is shown in this column.
  • % of Total Population: This column displays the population of each age group as a proportion of Day town 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 Day town Population by Age. You can refer the same here

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