100+ datasets found
  1. w

    Dataset of books about Commercial statistics

    • workwithdata.com
    Updated Apr 17, 2025
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    Work With Data (2025). Dataset of books about Commercial statistics [Dataset]. https://www.workwithdata.com/datasets/books?f=1&fcol0=j0-book_subject&fop0=%3D&fval0=Commercial+statistics&j=1&j0=book_subjects
    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 226 rows and is filtered where the book subjects is Commercial statistics. It features 9 columns including author, publication date, language, and book publisher.

  2. B

    Data from: Using ANOVA for gene selection from microarray studies of the...

    • borealisdata.ca
    Updated Mar 12, 2019
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    Paul Pavlidis (2019). Using ANOVA for gene selection from microarray studies of the nervous system [Dataset]. http://doi.org/10.5683/SP2/QCLEIJ
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 12, 2019
    Dataset provided by
    Borealis
    Authors
    Paul Pavlidis
    License

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

    Dataset funded by
    NIH
    Description

    Methods are presented for detecting differential expression using statistical hypothesis testing methods including analysis of variance (ANOVA). Practicalities of experimental design, power, and sample size are discussed. Methods for multiple testing correction and their application are described. Instructions for running typical analyses are given in the R programming environment. R code and the sample data set used to generate the examples are available at http://microarray.cpmc.columbia.edu/pavlidis/pub/aovmethods/.

  3. practical-statistics-for-data-scientists

    • kaggle.com
    Updated Jan 24, 2024
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    almaas izdihar (2024). practical-statistics-for-data-scientists [Dataset]. https://www.kaggle.com/datasets/almaasizdihar/practical-statistics-for-data-scientists/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 24, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    almaas izdihar
    Description

    Dataset

    This dataset was created by almaas izdihar

    Contents

  4. d

    Community Services Statistics May 2021

    • digital.nhs.uk
    csv, xlsx
    Updated Aug 26, 2021
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    (2021). Community Services Statistics May 2021 [Dataset]. https://digital.nhs.uk/data-and-information/publications/statistical/community-services-statistics-for-children-young-people-and-adults/may-2021
    Explore at:
    xlsx(169.0 kB), csv(34.2 MB), csv(1.0 MB), csv(4.2 MB)Available download formats
    Dataset updated
    Aug 26, 2021
    License

    https://digital.nhs.uk/about-nhs-digital/terms-and-conditionshttps://digital.nhs.uk/about-nhs-digital/terms-and-conditions

    Time period covered
    May 1, 2021 - May 31, 2021
    Area covered
    England
    Description

    Contains data on Community Services Statistics for May 2021.

  5. d

    HES-DID Data Linkage Report

    • digital.nhs.uk
    pdf
    Updated Jul 7, 2016
    + more versions
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    (2016). HES-DID Data Linkage Report [Dataset]. https://digital.nhs.uk/data-and-information/publications/statistical/hes-did-data-linkage-report
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    pdf(210.8 kB), pdf(165.5 kB)Available download formats
    Dataset updated
    Jul 7, 2016
    License

    https://digital.nhs.uk/about-nhs-digital/terms-and-conditionshttps://digital.nhs.uk/about-nhs-digital/terms-and-conditions

    Time period covered
    Apr 1, 2015 - Feb 29, 2016
    Area covered
    England
    Description

    This is the latest statistical publication of linked HES (Hospital Episode Statistics) and DID (Diagnostic Imaging Dataset) data held by the Health and Social Care Information Centre. The HES-DID linkage provides the ability to undertake national (within England) analysis along acute patient pathways to understand typical imaging requirements for given procedures, and/or the outcomes after particular imaging has been undertaken, thereby enabling a much deeper understanding of outcomes of imaging and to allow assessment of variation in practice. This publication aims to highlight to users the availability of this updated linkage and provide users of the data with some standard information to assess their analysis approach against. The two data sets have been linked using specific patient identifiers collected in HES and DID. The linkage allows the data sets to be linked from April 2012 when the DID data was first collected; however this report focuses on patients who were present in either data set for the period April 2015-February 2016 only. For DID this is provisional 2015/16 data. For HES this is provisional 2015/16 data. The linkage used for this publication was created on 06 June 2016 and released together with this publication on 07 July 2016.

  6. N

    Stayton, OR Population Breakdown by Gender Dataset: Male and Female...

    • neilsberg.com
    csv, json
    Updated Feb 24, 2025
    + more versions
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    Neilsberg Research (2025). Stayton, OR Population Breakdown by Gender Dataset: Male and Female Population Distribution // 2025 Edition [Dataset]. https://www.neilsberg.com/research/datasets/b2559fd3-f25d-11ef-8c1b-3860777c1fe6/
    Explore at:
    csv, jsonAvailable 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
    Stayton
    Variables measured
    Male Population, Female Population, Male Population as Percent of Total Population, Female Population as Percent of Total Population
    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 gender classifications (biological sex) reported by the US Census Bureau. 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 Stayton by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Stayton across both sexes and to determine which sex constitutes the majority.

    Key observations

    There is a slight majority of female population, with 50.01% of total population being female. 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.

    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. No further analysis is done on the data reported from the Census Bureau.

    Variables / Data Columns

    • Gender: This column displays the Gender (Male / Female)
    • Population: The population of the gender in the Stayton is shown in this column.
    • % of Total Population: This column displays the percentage distribution of each gender as a proportion of Stayton 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 Stayton Population by Race & Ethnicity. You can refer the same here

  7. Hydrographic and Impairment Statistics Database: THRB

    • catalog.data.gov
    • datasets.ai
    Updated Oct 16, 2025
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    National Park Service (2025). Hydrographic and Impairment Statistics Database: THRB [Dataset]. https://catalog.data.gov/dataset/hydrographic-and-impairment-statistics-database-thrb
    Explore at:
    Dataset updated
    Oct 16, 2025
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Description

    Hydrographic and Impairment Statistics (HIS) is a National Park Service (NPS) Water Resources Division (WRD) project established to track certain goals created in response to the Government Performance and Results Act of 1993 (GPRA). One water resources management goal established by the Department of the Interior under GRPA requires NPS to track the percent of its managed surface waters that are meeting Clean Water Act (CWA) water quality standards. This goal requires an accurate inventory that spatially quantifies the surface water hydrography that each bureau manages and a procedure to determine and track which waterbodies are or are not meeting water quality standards as outlined by Section 303(d) of the CWA. This project helps meet this DOI GRPA goal by inventorying and monitoring in a geographic information system for the NPS: (1) CWA 303(d) quality impaired waters and causes; and (2) hydrographic statistics based on the United States Geological Survey (USGS) National Hydrography Dataset (NHD). Hydrographic and 303(d) impairment statistics were evaluated based on a combination of 1:24,000 (NHD) and finer scale data (frequently provided by state GIS layers).

  8. N

    Troy, IN Population Breakdown by Gender Dataset: Male and Female Population...

    • neilsberg.com
    csv, json
    Updated Feb 24, 2025
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    Neilsberg Research (2025). Troy, IN Population Breakdown by Gender Dataset: Male and Female Population Distribution // 2025 Edition [Dataset]. https://www.neilsberg.com/research/datasets/b2585f9c-f25d-11ef-8c1b-3860777c1fe6/
    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
    Troy, IN
    Variables measured
    Male Population, Female Population, Male Population as Percent of Total Population, Female Population as Percent of Total Population
    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 gender classifications (biological sex) reported by the US Census Bureau. 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 Troy by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Troy across both sexes and to determine which sex constitutes the majority.

    Key observations

    There is a majority of female population, with 59.37% of total population being female. 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.

    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. No further analysis is done on the data reported from the Census Bureau.

    Variables / Data Columns

    • Gender: This column displays the Gender (Male / Female)
    • Population: The population of the gender in the Troy is shown in this column.
    • % of Total Population: This column displays the percentage distribution of each gender as a proportion of Troy 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 Troy Population by Race & Ethnicity. You can refer the same here

  9. N

    Maine Population Breakdown by Gender and Age Dataset: Male and Female...

    • neilsberg.com
    csv, json
    Updated Feb 24, 2025
    + more versions
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    Neilsberg Research (2025). Maine Population Breakdown by Gender and Age Dataset: Male and Female Population Distribution Across 18 Age Groups // 2025 Edition [Dataset]. https://www.neilsberg.com/research/datasets/e1eed88c-f25d-11ef-8c1b-3860777c1fe6/
    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
    Maine
    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 Maine by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Maine. The dataset can be utilized to understand the population distribution of Maine by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Maine. 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 Maine.

    Key observations

    Largest age group (population): Male # 60-64 years (54,031) | Female # 60-64 years (56,179). 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 Maine population analysis. Total expected values are 18 and are define above in the age groups section.
    • Population (Male): The male population in the Maine is shown in the following column.
    • Population (Female): The female population in the Maine 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 Maine 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 Maine Population by Gender. You can refer the same here

  10. o

    Statistics on the work of the Legal Department - Dataset - Open Government...

    • opendata.gov.jo
    Updated Mar 26, 2024
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    (2024). Statistics on the work of the Legal Department - Dataset - Open Government Data [Dataset]. https://opendata.gov.jo/dataset/statistics-on-the-work-of-the-legal-department-3039-2023
    Explore at:
    Dataset updated
    Mar 26, 2024
    Description

    2018-2023 Statistics on the work of the Legal Department

  11. United Kingdom Health Statistics - Dataset - data.gov.uk

    • ckan.publishing.service.gov.uk
    Updated Dec 10, 2011
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    ckan.publishing.service.gov.uk (2011). United Kingdom Health Statistics - Dataset - data.gov.uk [Dataset]. https://ckan.publishing.service.gov.uk/dataset/united_kingdom_health_statistics
    Explore at:
    Dataset updated
    Dec 10, 2011
    Dataset provided by
    CKANhttps://ckan.org/
    License

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

    Area covered
    United Kingdom
    Description

    Provides a reference for the comparison of key figures between the constituent countries, and between the UK as a whole and other nation states. Source agency: Office for National Statistics Designation: National Statistics Language: English Alternative title: United Kingdom Health Statistics

  12. w

    Dataset of books about Elections-Great Britain-Statistics

    • workwithdata.com
    Updated Apr 17, 2025
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    Work With Data (2025). Dataset of books about Elections-Great Britain-Statistics [Dataset]. https://www.workwithdata.com/datasets/books?f=1&fcol0=j0-book_subject&fop0=%3D&fval0=Elections-Great+Britain-Statistics&j=1&j0=book_subjects
    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

    Area covered
    Great Britain
    Description

    This dataset is about books. It has 9 rows and is filtered where the book subjects is Elections-Great Britain-Statistics. It features 9 columns including author, publication date, language, and book publisher.

  13. f

    Data collection and refinement statistics.

    • datasetcatalog.nlm.nih.gov
    • plos.figshare.com
    Updated Jul 26, 2013
    + more versions
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    Wu, Jia-Wei; Cao, Lu-Sha; Chen, Yuling; Deng, Haiteng; Wang, Zhi-Xin; Wang, Jue (2013). Data collection and refinement statistics. [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0001670895
    Explore at:
    Dataset updated
    Jul 26, 2013
    Authors
    Wu, Jia-Wei; Cao, Lu-Sha; Chen, Yuling; Deng, Haiteng; Wang, Zhi-Xin; Wang, Jue
    Description

    aAll data sets were collected from a single crystal.bValues in the parentheses are for the highest-resolution shell.

  14. d

    Principal Statistics of Administrative and Support Services by Activities -...

    • archive.data.gov.my
    Updated Mar 17, 2021
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    (2021). Principal Statistics of Administrative and Support Services by Activities - Dataset - MAMPU [Dataset]. https://archive.data.gov.my/data/dataset/principal-statistics-of-administrative-and-support-services-by-activities
    Explore at:
    Dataset updated
    Mar 17, 2021
    License

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

    Description

    This dataset shows the Principal Statistics of Administrative and Support Services by Activity; 2010, 2015 and 2017 Source: Department of Statistics, Malaysia No. of Views : 29

  15. d

    Department of Labor, Office of Research (Current Employment Statistics NSA...

    • catalog.data.gov
    • data.ct.gov
    • +2more
    Updated Aug 9, 2024
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    data.ct.gov (2024). Department of Labor, Office of Research (Current Employment Statistics NSA 1990 - Current) [Dataset]. https://catalog.data.gov/dataset/department-of-labor-office-of-research-current-employment-statistics-nsa-1990-current
    Explore at:
    Dataset updated
    Aug 9, 2024
    Dataset provided by
    data.ct.gov
    Description

    Historical Employment Statistics 1990 - current. The Current Employment Statistics (CES) more information program provides the most current estimates of nonfarm employment, hours, and earnings data by industry (place of work) for the nation as a whole, all states, and most major metropolitan areas. The CES survey is a federal-state cooperative endeavor in which states develop state and sub-state data using concepts, definitions, and technical procedures prescribed by the Bureau of Labor Statistics (BLS). Estimates produced by the CES program include both full- and part-time jobs. Excluded are self-employment, as well as agricultural and domestic positions. In Connecticut, more than 4,000 employers are surveyed each month to determine the number of the jobs in the State. For more information please visit us at http://www1.ctdol.state.ct.us/lmi/ces/default.asp.

  16. Hydrographic and Impairment Statistics Database: SLBE

    • catalog.data.gov
    Updated Oct 16, 2025
    + more versions
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    National Park Service (2025). Hydrographic and Impairment Statistics Database: SLBE [Dataset]. https://catalog.data.gov/dataset/hydrographic-and-impairment-statistics-database-slbe
    Explore at:
    Dataset updated
    Oct 16, 2025
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Description

    Hydrographic and Impairment Statistics (HIS) is a National Park Service (NPS) Water Resources Division (WRD) project established to track certain goals created in response to the Government Performance and Results Act of 1993 (GPRA). One water resources management goal established by the Department of the Interior under GRPA requires NPS to track the percent of its managed surface waters that are meeting Clean Water Act (CWA) water quality standards. This goal requires an accurate inventory that spatially quantifies the surface water hydrography that each bureau manages and a procedure to determine and track which waterbodies are or are not meeting water quality standards as outlined by Section 303(d) of the CWA. This project helps meet this DOI GRPA goal by inventorying and monitoring in a geographic information system for the NPS: (1) CWA 303(d) quality impaired waters and causes; and (2) hydrographic statistics based on the United States Geological Survey (USGS) National Hydrography Dataset (NHD). Hydrographic and 303(d) impairment statistics were evaluated based on a combination of 1:24,000 (NHD) and finer scale data (frequently provided by state GIS layers).

  17. f

    Data collection and refinement statistics.

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    • +1more
    xls
    Updated Jun 5, 2023
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    Juan Reguera; César Santiago; Gaurav Mudgal; Desiderio Ordoño; Luis Enjuanes; José M. Casasnovas (2023). Data collection and refinement statistics. [Dataset]. http://doi.org/10.1371/journal.ppat.1002859.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 5, 2023
    Dataset provided by
    PLOS Pathogens
    Authors
    Juan Reguera; César Santiago; Gaurav Mudgal; Desiderio Ordoño; Luis Enjuanes; José M. Casasnovas
    License

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

    Description

    The crystal structures contain two independent molecules in the asymmetric unit. Ligands included in the structures are two acetate molecules in the TGEV RBD-1AF10 structure and zinc ions in the pAPN structure, one in each molecule of the asymmetric unit. Statistics for the highest-resolution shell are in parentheses.

  18. N

    Marysvale, UT Population Breakdown by Gender Dataset: Male and Female...

    • neilsberg.com
    csv, json
    Updated Feb 24, 2025
    + more versions
    Share
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    Neilsberg Research (2025). Marysvale, UT Population Breakdown by Gender Dataset: Male and Female Population Distribution // 2025 Edition [Dataset]. https://www.neilsberg.com/research/datasets/b242b7d5-f25d-11ef-8c1b-3860777c1fe6/
    Explore at:
    csv, jsonAvailable 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
    Marysvale, Utah
    Variables measured
    Male Population, Female Population, Male Population as Percent of Total Population, Female Population as Percent of Total Population
    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 gender classifications (biological sex) reported by the US Census Bureau. 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 Marysvale by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Marysvale across both sexes and to determine which sex constitutes the majority.

    Key observations

    There is a majority of female population, with 57.85% of total population being female. 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.

    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. No further analysis is done on the data reported from the Census Bureau.

    Variables / Data Columns

    • Gender: This column displays the Gender (Male / Female)
    • Population: The population of the gender in the Marysvale is shown in this column.
    • % of Total Population: This column displays the percentage distribution of each gender as a proportion of Marysvale 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 Marysvale Population by Race & Ethnicity. You can refer the same here

  19. Hydrographic and Impairment Statistics Database: FRST

    • catalog.data.gov
    • data.amerigeoss.org
    Updated Oct 16, 2025
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    National Park Service (2025). Hydrographic and Impairment Statistics Database: FRST [Dataset]. https://catalog.data.gov/dataset/hydrographic-and-impairment-statistics-database-frst
    Explore at:
    Dataset updated
    Oct 16, 2025
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Description

    Hydrographic and Impairment Statistics (HIS) is a National Park Service (NPS) Water Resources Division (WRD) project established to track certain goals created in response to the Government Performance and Results Act of 1993 (GPRA). One water resources management goal established by the Department of the Interior under GRPA requires NPS to track the percent of its managed surface waters that are meeting Clean Water Act (CWA) water quality standards. This goal requires an accurate inventory that spatially quantifies the surface water hydrography that each bureau manages and a procedure to determine and track which waterbodies are or are not meeting water quality standards as outlined by Section 303(d) of the CWA. This project helps meet this DOI GRPA goal by inventorying and monitoring in a geographic information system for the NPS: (1) CWA 303(d) quality impaired waters and causes; and (2) hydrographic statistics based on the United States Geological Survey (USGS) National Hydrography Dataset (NHD). Hydrographic and 303(d) impairment statistics were evaluated based on a combination of 1:24,000 (NHD) and finer scale data (frequently provided by state GIS layers).

  20. d

    A&I - Crash Statistics

    • catalog.data.gov
    • data.virginia.gov
    • +4more
    Updated Jun 26, 2024
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    Federal Motor Carrier Safety Administration (2024). A&I - Crash Statistics [Dataset]. https://catalog.data.gov/dataset/ai-crash-statistics
    Explore at:
    Dataset updated
    Jun 26, 2024
    Dataset provided by
    Federal Motor Carrier Safety Administration
    Description

    Crash Statistics are summarized crash statistics for large trucks and buses involved in fatal and non-fatal Crashes that occurred in the United States. These statistics are derived from two sources: the Fatality Analysis Reporting System (FARS) and the Motor Carrier Management Information System (MCMIS). Crash Statistics contain information that can be used to identify safety problems in specific geographical areas or to compare state statistics to the national crash figures.

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Work With Data (2025). Dataset of books about Commercial statistics [Dataset]. https://www.workwithdata.com/datasets/books?f=1&fcol0=j0-book_subject&fop0=%3D&fval0=Commercial+statistics&j=1&j0=book_subjects

Dataset of books about Commercial statistics

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 226 rows and is filtered where the book subjects is Commercial statistics. It features 9 columns including author, publication date, language, and book publisher.

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