100+ datasets found
  1. d

    Géolocalisation des bureaux de vote

    • data.gouv.fr
    csv
    Updated Feb 6, 2020
    + more versions
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    Christian Quest (2020). Géolocalisation des bureaux de vote [Dataset]. https://www.data.gouv.fr/fr/datasets/geolocalisation-des-bureaux-de-vote/
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    csvAvailable download formats
    Dataset updated
    Feb 6, 2020
    Authors
    Christian Quest
    License

    https://www.etalab.gouv.fr/licence-ouverte-open-licencehttps://www.etalab.gouv.fr/licence-ouverte-open-licence

    Description

    Ce jeu de donnée est une version géocodée du fichier des bureaux de vote publié par l'INSEE. Il a été géocodé à l'aide de: la Base Adresse Nationale (février 2020) la BANO d'OpenStreetMap France (février 2020) les points d'intérêt extraits d'OpenStreetMap ATTENTION: Le géocodage est processus imparfait qui ne peut pas toujours localiser un bureau de vote, leurs adresses n'étant pas normalisée et parfois très imprécises. Sur les 70000 bureaux du fichier original, 60000 ont pu être géocodés de façon plus ou moins précise lors d'un premier géocodage. La colonne geo_type indique la précision géographique: housenumber: précision à l'adresse interpolation: position interpolée entre 2 adresses street: position "à la rue" locality: position "au lieu dit" municipality: position "à la commune" poi: position liée à un point d'intérêt (mairie, école, etc) geo_score: indique le taux de correspondance du libellé initial recherché et de celui trouvé, plus il est élevé, plus l'adresse trouvée a de chance d'être la bonne.

  2. d

    United States Census Bureau Open Data

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

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

  3. d

    Bureau Of Street Lighting (BSL) - Performance Metrics

    • catalog.data.gov
    • data.lacity.org
    • +1more
    Updated Jun 29, 2025
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    data.lacity.org (2025). Bureau Of Street Lighting (BSL) - Performance Metrics [Dataset]. https://catalog.data.gov/dataset/bureau-of-street-lighting-bsl-performance-metrics
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    Dataset updated
    Jun 29, 2025
    Dataset provided by
    data.lacity.org
    Description

    This dataset contains metrics that measure the operational performance of the Bureau of Street Lighting. These metrics are used on a regular basis by the department and the Mayor to evaluate progress and inform decision making. Performance management forms the foundation of a data-driven culture of innovation and excellence in the City of Los Angeles.

  4. p

    Convention Information Bureaus in New York, United States - 11 Verified...

    • poidata.io
    csv, excel, json
    Updated Jul 13, 2025
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    Poidata.io (2025). Convention Information Bureaus in New York, United States - 11 Verified Listings Database [Dataset]. https://www.poidata.io/report/convention-information-bureau/united-states/new-york
    Explore at:
    csv, excel, jsonAvailable download formats
    Dataset updated
    Jul 13, 2025
    Dataset provided by
    Poidata.io
    Area covered
    New York, United States
    Description

    Comprehensive dataset of 11 Convention information bureaus in New York, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

  5. e

    Bureaux de vote

    • data.europa.eu
    • mongeosource.fr
    • +1more
    unknown
    Updated Jun 21, 2012
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    (2012). Bureaux de vote [Dataset]. https://data.europa.eu/data/datasets/villemtp_mtp_bureauxvote_2012
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    unknownAvailable download formats
    Dataset updated
    Jun 21, 2012
    Description

    Cette donnée (surfacique) renseigne l’attachement aux bureaux de vote de la Ville de Montpellier.

  6. p

    Citizen Information Bureaus in Mexico - 321 Verified Listings Database

    • poidata.io
    csv, excel, json
    Updated Jul 22, 2025
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    Poidata.io (2025). Citizen Information Bureaus in Mexico - 321 Verified Listings Database [Dataset]. https://www.poidata.io/report/citizen-information-bureau/mexico
    Explore at:
    csv, json, excelAvailable download formats
    Dataset updated
    Jul 22, 2025
    Dataset provided by
    Poidata.io
    Area covered
    Mexico
    Description

    Comprehensive dataset of 321 Citizen information bureaus in Mexico as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

  7. International Bureau Filing System (IBFS)

    • catalog.data.gov
    • opendata.fcc.gov
    Updated Jan 30, 2025
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    opendata.fcc.gov (2025). International Bureau Filing System (IBFS) [Dataset]. https://catalog.data.gov/dataset/international-bureau-filing-system-ibfs
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    Dataset updated
    Jan 30, 2025
    Dataset provided by
    Federal Communications Commissionhttp://fcc.gov/
    Description

    47 CFR Parts 73/74, 23 and 25 (Earth Stations)

  8. Bureau of Labor Statistics Unemployment and Inflation

    • redivis.com
    • columbia.redivis.com
    application/jsonl +7
    Updated Dec 14, 2020
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    Columbia Data Platform Demo (2020). Bureau of Labor Statistics Unemployment and Inflation [Dataset]. https://redivis.com/datasets/ymdq-1a9mgdxff
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    arrow, avro, csv, parquet, spss, application/jsonl, stata, sasAvailable download formats
    Dataset updated
    Dec 14, 2020
    Dataset provided by
    Redivis Inc.
    Authors
    Columbia Data Platform Demo
    Time period covered
    Jan 1, 1939 - Dec 31, 2020
    Description

    Abstract

    This dataset includes economic statistics on inflation, prices, unemployment, and pay & benefits provided by the Bureau of Labor Statistics (BLS)

    Documentation

    Update frequency: Monthly Dataset source: U.S. Bureau of Labor Statistics Terms of use: This dataset is publicly available for anyone to use under the following terms provided by the Dataset Source - http://www.data.gov/privacy-policy#data_policy - and is provided "AS IS" without any warranty, express or implied, from Google. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset. See the GCP Marketplace listing for more details and sample queries: https://console.cloud.google.com/marketplace/details/bls-public-data/bureau-of-labor-statistics

  9. p

    License Bureaus in West Virginia, United States - 14 Verified Listings...

    • poidata.io
    csv, excel, json
    Updated Jul 22, 2025
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    Poidata.io (2025). License Bureaus in West Virginia, United States - 14 Verified Listings Database [Dataset]. https://www.poidata.io/report/license-bureau/united-states/west-virginia
    Explore at:
    csv, excel, jsonAvailable download formats
    Dataset updated
    Jul 22, 2025
    Dataset provided by
    Poidata.io
    Area covered
    United States, West Virginia
    Description

    Comprehensive dataset of 14 License bureaus in West Virginia, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

  10. Australia AU: Private Credit Bureau Coverage: % of Adults

    • ceicdata.com
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    CEICdata.com, Australia AU: Private Credit Bureau Coverage: % of Adults [Dataset]. https://www.ceicdata.com/en/australia/businesses-registered-statistics/au-private-credit-bureau-coverage--of-adults
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    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2008 - Dec 1, 2019
    Area covered
    Australia
    Variables measured
    Enterprises Statistics
    Description

    Australia Private Credit Bureau Coverage: % of Adults data was reported at 100.000 % in 2019. This stayed constant from the previous number of 100.000 % for 2018. Australia Private Credit Bureau Coverage: % of Adults data is updated yearly, averaging 100.000 % from Dec 2004 (Median) to 2019, with 16 observations. The data reached an all-time high of 100.000 % in 2019 and a record low of 95.400 % in 2004. Australia Private Credit Bureau Coverage: % of Adults data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Australia – Table AU.World Bank.WDI: Businesses Registered Statistics. Private credit bureau coverage reports the number of individuals or firms listed by a private credit bureau with current information on repayment history, unpaid debts, or credit outstanding. The number is expressed as a percentage of the adult population.;World Bank, Doing Business project (http://www.doingbusiness.org/). NOTE: Doing Business has been discontinued as of 9/16/2021. For more information: https://bit.ly/3CLCbme;Unweighted average;Data are presented for the survey year instead of publication year.

  11. W

    The Bureau of Ocean Energy Management BOEM GOM Well Data

    • cloud.csiss.gmu.edu
    • data.amerigeoss.org
    • +1more
    html
    Updated Aug 8, 2019
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    Energy Data Exchange (2019). The Bureau of Ocean Energy Management BOEM GOM Well Data [Dataset]. https://cloud.csiss.gmu.edu/uddi/id/dataset/the-bureau-of-ocean-energy-management-boem-gom-well-data
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Aug 8, 2019
    Dataset provided by
    Energy Data Exchange
    Description

    Well Information includes information on borehole activities such as drilling activity, counts on the number of boreholes completed, and number of shut-in's.Additional information includes the lease number, well name, spud date, the well class, surface area/block number, and statistics on well status summary.Additional files are available on well completions and well tests. All surveys are referenced to grid north in the native map projection of the block containing the surface location of the survey.For some old surveys the north reference was not marked and was assumed by BOEM to be grid north. In an effort to improve the quality of our downloadable data, we are now exporting bottom hole locations as calculated from the directional survey associated with the well. The coordinate values were derived using the North American Datum (NAD) 1927.

  12. LSEG World Bureau of Metal Statistics (WBMS)

    • lseg.com
    Updated Nov 25, 2024
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    LSEG (2024). LSEG World Bureau of Metal Statistics (WBMS) [Dataset]. https://www.lseg.com/en/data-analytics/financial-data/commodities-data/metals-data/world-bureau-of-metal-statistics-wbms
    Explore at:
    csv,json,python,user interface,xmlAvailable download formats
    Dataset updated
    Nov 25, 2024
    Dataset provided by
    London Stock Exchange Grouphttp://www.londonstockexchangegroup.com/
    Authors
    LSEG
    License

    https://www.lseg.com/en/policies/website-disclaimerhttps://www.lseg.com/en/policies/website-disclaimer

    Description

    WBMS provides trade, production, consumption, and stock data for metals globally, on a country, regional, and worldwide data classification. Learn more.

  13. N

    Prue, OK Population Pyramid Dataset: Age Groups, Male and Female Population,...

    • neilsberg.com
    csv, json
    Updated Sep 16, 2023
    + more versions
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    Neilsberg Research (2023). Prue, OK Population Pyramid Dataset: Age Groups, Male and Female Population, and Total Population for Demographics Analysis [Dataset]. https://www.neilsberg.com/research/datasets/6338c345-3d85-11ee-9abe-0aa64bf2eeb2/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Sep 16, 2023
    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
    Prue, Oklahoma
    Variables measured
    Male and Female Population Under 5 Years, Male and Female Population over 85 years, Male and Female Total Population for Age Groups, Male and Female Population Between 5 and 9 years, Male and Female Population Between 10 and 14 years, Male and Female Population Between 15 and 19 years, Male and Female Population Between 20 and 24 years, Male and Female Population Between 25 and 29 years, Male and Female Population Between 30 and 34 years, Male and Female Population Between 35 and 39 years, and 9 more
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. To measure the three variables, namely (a) male population, (b) female population and (b) total population, we initially analyzed and categorized the data for each of the age groups. For age groups we divided it into roughly a 5 year bucket for ages between 0 and 85. For over 85, we aggregated data into a single group for all ages. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

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

    Key observations

    • Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Prue, OK, is 34.8.
    • Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Prue, OK, is 30.8.
    • Total dependency ratio for Prue, OK is 65.6.
    • Potential support ratio, which is the number of youth (working age population) per elderly, for Prue, OK is 3.2.
    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

    Age groups:

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

    Variables / Data Columns

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

    Good to know

    Margin of Error

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

    Custom data

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

    Inspiration

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

    Recommended for further research

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

  14. N

    Silver Lake, MN Population Pyramid Dataset: Age Groups, Male and Female...

    • neilsberg.com
    csv, json
    Updated Sep 16, 2023
    + more versions
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    Neilsberg Research (2023). Silver Lake, MN Population Pyramid Dataset: Age Groups, Male and Female Population, and Total Population for Demographics Analysis [Dataset]. https://www.neilsberg.com/research/datasets/635d69b9-3d85-11ee-9abe-0aa64bf2eeb2/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Sep 16, 2023
    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
    Minnesota, Silver Lake
    Variables measured
    Male and Female Population Under 5 Years, Male and Female Population over 85 years, Male and Female Total Population for Age Groups, Male and Female Population Between 5 and 9 years, Male and Female Population Between 10 and 14 years, Male and Female Population Between 15 and 19 years, Male and Female Population Between 20 and 24 years, Male and Female Population Between 25 and 29 years, Male and Female Population Between 30 and 34 years, Male and Female Population Between 35 and 39 years, and 9 more
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. To measure the three variables, namely (a) male population, (b) female population and (b) total population, we initially analyzed and categorized the data for each of the age groups. For age groups we divided it into roughly a 5 year bucket for ages between 0 and 85. For over 85, we aggregated data into a single group for all ages. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

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

    Key observations

    • Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Silver Lake, MN, is 30.4.
    • Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Silver Lake, MN, is 27.0.
    • Total dependency ratio for Silver Lake, MN is 57.4.
    • Potential support ratio, which is the number of youth (working age population) per elderly, for Silver Lake, MN is 3.7.
    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

    Age groups:

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

    Variables / Data Columns

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

    Good to know

    Margin of Error

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

    Custom data

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

    Inspiration

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

    Recommended for further research

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

  15. Federal Agency Bureau Codes

    • catalog.data.gov
    • datasets.ai
    Updated Oct 19, 2022
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    GSA (2022). Federal Agency Bureau Codes [Dataset]. https://catalog.data.gov/dataset/federal-agency-bureau-codes
    Explore at:
    Dataset updated
    Oct 19, 2022
    Dataset provided by
    General Services Administrationhttp://www.gsa.gov/
    Description

    A list of 4-digit GSA federal agency bureau codes used to identify federal agencies. The primary source is the GSA published list.

  16. N

    Salt Lake County, UT Population Pyramid Dataset: Age Groups, Male and Female...

    • neilsberg.com
    csv, json
    Updated Feb 22, 2025
    + more versions
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    Neilsberg Research (2025). Salt Lake County, UT Population Pyramid Dataset: Age Groups, Male and Female Population, and Total Population for Demographics Analysis // 2025 Edition [Dataset]. https://www.neilsberg.com/research/datasets/526cf54c-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
    Salt Lake County, Utah
    Variables measured
    Male and Female Population Under 5 Years, Male and Female Population over 85 years, Male and Female Total Population for Age Groups, Male and Female Population Between 5 and 9 years, Male and Female Population Between 10 and 14 years, Male and Female Population Between 15 and 19 years, Male and Female Population Between 20 and 24 years, Male and Female Population Between 25 and 29 years, Male and Female Population Between 30 and 34 years, Male and Female Population Between 35 and 39 years, and 9 more
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To measure the three variables, namely (a) male population, (b) female population and (b) total population, we initially analyzed and categorized the data for each of the age groups. For age groups we divided it into roughly a 5 year bucket for ages between 0 and 85. For over 85, we aggregated data into a single group for all ages. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

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

    Key observations

    • Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Salt Lake County, UT, is 31.6.
    • Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Salt Lake County, UT, is 17.2.
    • Total dependency ratio for Salt Lake County, UT is 48.9.
    • Potential support ratio, which is the number of youth (working age population) per elderly, for Salt Lake County, UT is 5.8.
    Content

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

    Age groups:

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

    Variables / Data Columns

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

    Good to know

    Margin of Error

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

    Custom data

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

    Inspiration

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

    Recommended for further research

    This dataset is a part of the main dataset for Salt Lake County Population by Age. You can refer the same here

  17. p

    Convention Information Bureaus in Georgia, United States - 22 Verified...

    • poidata.io
    csv, excel, json
    Updated Jul 22, 2025
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    Poidata.io (2025). Convention Information Bureaus in Georgia, United States - 22 Verified Listings Database [Dataset]. https://www.poidata.io/report/convention-information-bureau/united-states/georgia
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    excel, json, csvAvailable download formats
    Dataset updated
    Jul 22, 2025
    Dataset provided by
    Poidata.io
    Area covered
    Georgia, United States
    Description

    Comprehensive dataset of 22 Convention information bureaus in Georgia, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

  18. Collection Agencies & Credit Bureaus in Lithuania - Market Research Report...

    • ibisworld.com
    Updated Apr 15, 2024
    + more versions
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    IBISWorld (2024). Collection Agencies & Credit Bureaus in Lithuania - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/lithuania/industry/collection-agencies-credit-bureaus/200709/
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    Dataset updated
    Apr 15, 2024
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2014 - 2029
    Area covered
    Lithuania
    Description

    Europe's Collection Agencies and Credit Bureaux industry has contended with numerous challenges in recent years. Lending activity has been muted as businesses became cautious about borrowing in the face of turbulent economic conditions and rising interest rates, draining the pool of debt available for collection. Revenue is expected to fall at a compound annual rate of 3.8% over the five years through 2024 to €19.6 billion, including an estimated decline of 3.2% in 2024. In recent years, the industry has witnessed a significant transformation driven by digitalisation. Collection agencies and credit bureaux embraced digital platforms and automation tools to streamline processes, enhance data analysis efficiency and improve consumer communication. The integration of AI and alternative credit scoring models has revolutionised credit assessment practices, offering more inclusive evaluation methods and personalised debt collection strategies. The adoption of blockchain technology for secure data management has also gained traction, promising enhanced data security and transparency across operations. Revenue is slated to mount at a compound annual rate of 2.7% over the five years through 2029 to €22.5 billion, while profit is also expected to edge upwards. Looking ahead, Europe's collection agencies and credit bureaux are poised for further evolution and innovation. Expanding alternative data sources for credit assessment will provide more comprehensive credit profiles and improve risk assessment accuracy. Companies will also continue to integrate blockchain technology for secure data management, offering increased data security, fraud prevention and operational efficiencies.

  19. Indonesia BPS Projection: Population: Male: 50-54 Years

    • ceicdata.com
    Updated Feb 15, 2025
    + more versions
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    CEICdata.com (2025). Indonesia BPS Projection: Population: Male: 50-54 Years [Dataset]. https://www.ceicdata.com/en/indonesia/population-projection-central-bureau-of-statistics/bps-projection-population-male-5054-years
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2034 - Dec 1, 2045
    Area covered
    Indonesia
    Variables measured
    Population
    Description

    Indonesia BPS Projection: Population: Male: 50-54 Years data was reported at 10,265.800 Person th in 2045. This records an increase from the previous number of 10,258.800 Person th for 2044. Indonesia BPS Projection: Population: Male: 50-54 Years data is updated yearly, averaging 8,483.700 Person th from Dec 2000 (Median) to 2045, with 46 observations. The data reached an all-time high of 10,265.800 Person th in 2045 and a record low of 3,791.185 Person th in 2000. Indonesia BPS Projection: Population: Male: 50-54 Years data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Indonesia Premium Database’s Socio and Demographic – Table ID.GAA001: Population Projection: Central Bureau of Statistics.

  20. Zambia Capital & Reserves: Bureau: Others

    • ceicdata.com
    Updated Dec 8, 2018
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    CEICdata.com (2018). Zambia Capital & Reserves: Bureau: Others [Dataset]. https://www.ceicdata.com/en/zambia/consolidated-balance-sheet-bureau-de-change/capital--reserves-bureau-others
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    Dataset updated
    Dec 8, 2018
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Mar 1, 2015 - Dec 1, 2017
    Area covered
    Zambia
    Description

    Zambia Capital & Reserves: Bureau: Others data was reported at 10,088,774.900 ZMW in Dec 2017. This records a decrease from the previous number of 11,876,386.250 ZMW for Sep 2017. Zambia Capital & Reserves: Bureau: Others data is updated quarterly, averaging 2,224,425.538 ZMW from Mar 2002 (Median) to Dec 2017, with 60 observations. The data reached an all-time high of 14,332,941.000 ZMW in Sep 2016 and a record low of 261,702.346 ZMW in Mar 2004. Zambia Capital & Reserves: Bureau: Others data remains active status in CEIC and is reported by Bank of Zambia. The data is categorized under Global Database’s Zambia – Table ZM.KB007: Consolidated Balance Sheet: Bureau de Change.

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Christian Quest (2020). Géolocalisation des bureaux de vote [Dataset]. https://www.data.gouv.fr/fr/datasets/geolocalisation-des-bureaux-de-vote/

Géolocalisation des bureaux de vote

geolocalisation-des-bureaux-de-vote

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csvAvailable download formats
Dataset updated
Feb 6, 2020
Authors
Christian Quest
License

https://www.etalab.gouv.fr/licence-ouverte-open-licencehttps://www.etalab.gouv.fr/licence-ouverte-open-licence

Description

Ce jeu de donnée est une version géocodée du fichier des bureaux de vote publié par l'INSEE. Il a été géocodé à l'aide de: la Base Adresse Nationale (février 2020) la BANO d'OpenStreetMap France (février 2020) les points d'intérêt extraits d'OpenStreetMap ATTENTION: Le géocodage est processus imparfait qui ne peut pas toujours localiser un bureau de vote, leurs adresses n'étant pas normalisée et parfois très imprécises. Sur les 70000 bureaux du fichier original, 60000 ont pu être géocodés de façon plus ou moins précise lors d'un premier géocodage. La colonne geo_type indique la précision géographique: housenumber: précision à l'adresse interpolation: position interpolée entre 2 adresses street: position "à la rue" locality: position "au lieu dit" municipality: position "à la commune" poi: position liée à un point d'intérêt (mairie, école, etc) geo_score: indique le taux de correspondance du libellé initial recherché et de celui trouvé, plus il est élevé, plus l'adresse trouvée a de chance d'être la bonne.

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