24 datasets found
  1. U.S. number of Senate members 2024, by 2025

    • statista.com
    • ai-chatbox.pro
    Updated Jun 27, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). U.S. number of Senate members 2024, by 2025 [Dataset]. https://www.statista.com/statistics/1361920/senators-age-share-us/
    Explore at:
    Dataset updated
    Jun 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    As of 2025, the average age of senators in the 119th Congress was **. Of the total 100, ** members of the U.S. Senate were between the ages of ** and ** - more than any other age group. The minimum age requirement to be a member of the Senate is **, opposed to the House of Representatives which has a minimum age requirement of **. The average age of members of Congress from 2009 to 2023 can be found here.

  2. U.S. Congress average age of members 2009-2025

    • statista.com
    Updated Feb 25, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). U.S. Congress average age of members 2009-2025 [Dataset]. https://www.statista.com/statistics/1357207/congress-members-average-age-us/
    Explore at:
    Dataset updated
    Feb 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 3, 2015 - Jan 3, 2025
    Area covered
    United States
    Description

    While the average age of members of Congress in the United States has gradually risen in recent years, this number decreased slightly with the beginning of the 119th Congress in 2025. This Congress first convened on January 3rd, 2025, and will end on January 3, 2027. In this Congress, the average age in the House of Representatives was ** years, and the average age in the Senate was ** years.

  3. U.S. Senate staffers 2024, by age

    • statista.com
    • ai-chatbox.pro
    Updated Jul 5, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2024). U.S. Senate staffers 2024, by age [Dataset]. https://www.statista.com/statistics/1454883/senator-staffers-age-us/
    Explore at:
    Dataset updated
    Jul 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    As of 2024, the average age of staffers in U.S. Senate was 32. Over half of those working for the U.S. Senate were between the ages of 21 and 29 - more than any other age group. The average age of members of Congress from 2009 to 2023 can be found here.

  4. U.S. House of Representatives members 2025, by age

    • statista.com
    • ai-chatbox.pro
    Updated Jun 27, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). U.S. House of Representatives members 2025, by age [Dataset]. https://www.statista.com/statistics/1361892/house-representatives-age-share/
    Explore at:
    Dataset updated
    Jun 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In the 119th Congress which began in January 2025, almost ** percent of members of the House of Representatives were between the ages of ** and ** in 2025- more than any other age group.

  5. Average age of members of the Senate in France 2004-2017

    • statista.com
    Updated Jul 4, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2024). Average age of members of the Senate in France 2004-2017 [Dataset]. https://www.statista.com/statistics/1087227/average-age-senators-france/
    Explore at:
    Dataset updated
    Jul 4, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    France
    Description

    This graph represents the average age of senators after each election in France in 2004, 2008, 2011, 2014 and 2017. We can thus observe that the Senate became younger in these last 13 years: going from an average age of 66 in 2011, to an average 60 years old after the 2017 elections.

  6. Average age of Senators in Italian Parliament 2021, by gender

    • statista.com
    Updated Aug 30, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2024). Average age of Senators in Italian Parliament 2021, by gender [Dataset]. https://www.statista.com/statistics/1266779/average-age-of-senators-in-italian-parliament-by-gender/
    Explore at:
    Dataset updated
    Aug 30, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 29, 2021
    Area covered
    Italy
    Description

    The Italian Parliament consists of the Chamber of Deputies and the Senate of the Republic. In the Senate, there are 320 Senators, including 208 men and 112 women. The average age of all Senators in Italy is around 56 years and it is higher by two years for men than for women.

  7. d

    AGE Persons by Broad Age Groups and Median Age NMSD 2000

    • datadiscoverystudio.org
    • gstore.unm.edu
    • +1more
    Updated Feb 27, 2008
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Information Systems Department, New Mexico Secretary of State Office (2008). AGE Persons by Broad Age Groups and Median Age NMSD 2000 [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/4ee29b21b3844ad1911a29b47725815a/html
    Explore at:
    geojson(5), xml, ms excel format (xls)(5), kml(5), html, zip(1), esri shapefile (shp)(5), json(5), comma separated values (csv)(5), gml(5)Available download formats
    Dataset updated
    Feb 27, 2008
    Dataset authored and provided by
    Information Systems Department, New Mexico Secretary of State Office
    Area covered
    Description

    The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage for a single TIGER/Line file is a county or statistical equivalent entity, with the coverage area based on the latest available governmental unit boundaries. The Census TIGER database represents a seamless national file with no overlaps or gaps between parts. However, each county-based TIGER/Line file is designed to stand alone as an independent data set or the files can be combined to cover the whole Nation. The 2006 Second Edition TIGER/Line files consist of line segments representing physical features and governmental and statistical boundaries. This shapefile represents the current State Senate Districts for New Mexico as posted on the Census Bureau website for 2006.

  8. f

    Sex and Age (by Georgia Senate) 2017

    • gisdata.fultoncountyga.gov
    Updated Jun 22, 2019
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Georgia Association of Regional Commissions (2019). Sex and Age (by Georgia Senate) 2017 [Dataset]. https://gisdata.fultoncountyga.gov/datasets/GARC::sex-and-age-by-georgia-senate-2017/data
    Explore at:
    Dataset updated
    Jun 22, 2019
    Dataset provided by
    The Georgia Association of Regional Commissions
    Authors
    Georgia Association of Regional Commissions
    License

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

    Area covered
    Description

    This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2013-2017, to show population by sex and age by Georgia Senate in the Atlanta region.

    The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number – this is why a corresponding margin of error (MOE) is also given for ACS measures. The size of the MOE relative to its corresponding estimate value provides an indication of confidence in the accuracy of each estimate. Each MOE is expressed in the same units as its corresponding measure; for example, if the estimate value is expressed as a number, then its MOE will also be a number; if the estimate value is expressed as a percent, then its MOE will also be a percent.

    The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2013-2017). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.

    For further explanation of ACS estimates and margin of error, visit Census ACS website.

    Naming conventions:

    Prefixes:

    None

    Count

    p

    Percent

    r

    Rate

    m

    Median

    a

    Mean (average)

    t

    Aggregate (total)

    ch

    Change in absolute terms (value in t2 - value in t1)

    pch

    Percent change ((value in t2 - value in t1) / value in t1)

    chp

    Change in percent (percent in t2 - percent in t1)

    Suffixes:

    None

    Change over two periods

    _e

    Estimate from most recent ACS

    _m

    Margin of Error from most recent ACS

    _00

    Decennial 2000

    Attributes:

    Attributes and definitions available below under "Attributes" section and in Infrastructure Manifest (due to text box constraints, attributes cannot be displayed here). Source: U.S. Census Bureau, Atlanta Regional Commission

    Date: 2013-2017

    For additional information, please visit the Census ACS website.

  9. a

    Population by Sex and Age (by Georgia Senate) 2019

    • arc-garc.opendata.arcgis.com
    • hub.arcgis.com
    Updated Feb 25, 2021
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Georgia Association of Regional Commissions (2021). Population by Sex and Age (by Georgia Senate) 2019 [Dataset]. https://arc-garc.opendata.arcgis.com/datasets/ed63b9c6023343d5a7dba8587a04833e
    Explore at:
    Dataset updated
    Feb 25, 2021
    Dataset provided by
    The Georgia Association of Regional Commissions
    Authors
    Georgia Association of Regional Commissions
    License

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

    Area covered
    Description

    This dataset was developed by the Research & Analytics Group at the Atlanta Regional Commission using data from the U.S. Census Bureau.For a deep dive into the data model including every specific metric, see the Infrastructure Manifest. The manifest details ARC-defined naming conventions, field names/descriptions and topics, summary levels; source tables; notes and so forth for all metrics.Naming conventions:Prefixes: None Countp Percentr Ratem Mediana Mean (average)t Aggregate (total)ch Change in absolute terms (value in t2 - value in t1)pch Percent change ((value in t2 - value in t1) / value in t1)chp Change in percent (percent in t2 - percent in t1)s Significance flag for change: 1 = statistically significant with a 90% CI, 0 = not statistically significant, blank = cannot be computed Suffixes: _e19 Estimate from 2014-19 ACS_m19 Margin of Error from 2014-19 ACS_00_v19 Decennial 2000, re-estimated to 2019 geography_00_19 Change, 2000-19_e10_v19 2006-10 ACS, re-estimated to 2019 geography_m10_v19 Margin of Error from 2006-10 ACS, re-estimated to 2019 geography_e10_19 Change, 2010-19The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number – this is why a corresponding margin of error (MOE) is also given for ACS measures. The size of the MOE relative to its corresponding estimate value provides an indication of confidence in the accuracy of each estimate. Each MOE is expressed in the same units as its corresponding measure; for example, if the estimate value is expressed as a number, then its MOE will also be a number; if the estimate value is expressed as a percent, then its MOE will also be a percent. The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2015-2019). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available. For further explanation of ACS estimates and margin of error, visit Census ACS website.Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2015-2019Data License: Creative Commons Attribution 4.0 International (CC by 4.0)Link to the manifest: https://www.arcgis.com/sharing/rest/content/items/3d489c725bb24f52a987b302147c46ee/data

  10. f

    Voting Age (by Georgia Senate) 2019

    • gisdata.fultoncountyga.gov
    • opendata.atlantaregional.com
    Updated Feb 25, 2021
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Georgia Association of Regional Commissions (2021). Voting Age (by Georgia Senate) 2019 [Dataset]. https://gisdata.fultoncountyga.gov/datasets/GARC::voting-age-by-georgia-senate-2019
    Explore at:
    Dataset updated
    Feb 25, 2021
    Dataset provided by
    The Georgia Association of Regional Commissions
    Authors
    Georgia Association of Regional Commissions
    License

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

    Area covered
    Description

    This dataset was developed by the Research & Analytics Group at the Atlanta Regional Commission using data from the U.S. Census Bureau.For a deep dive into the data model including every specific metric, see the Infrastructure Manifest. The manifest details ARC-defined naming conventions, field names/descriptions and topics, summary levels; source tables; notes and so forth for all metrics.Naming conventions:Prefixes: None Countp Percentr Ratem Mediana Mean (average)t Aggregate (total)ch Change in absolute terms (value in t2 - value in t1)pch Percent change ((value in t2 - value in t1) / value in t1)chp Change in percent (percent in t2 - percent in t1)s Significance flag for change: 1 = statistically significant with a 90% CI, 0 = not statistically significant, blank = cannot be computed Suffixes: _e19 Estimate from 2014-19 ACS_m19 Margin of Error from 2014-19 ACS_00_v19 Decennial 2000, re-estimated to 2019 geography_00_19 Change, 2000-19_e10_v19 2006-10 ACS, re-estimated to 2019 geography_m10_v19 Margin of Error from 2006-10 ACS, re-estimated to 2019 geography_e10_19 Change, 2010-19The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number – this is why a corresponding margin of error (MOE) is also given for ACS measures. The size of the MOE relative to its corresponding estimate value provides an indication of confidence in the accuracy of each estimate. Each MOE is expressed in the same units as its corresponding measure; for example, if the estimate value is expressed as a number, then its MOE will also be a number; if the estimate value is expressed as a percent, then its MOE will also be a percent. The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2015-2019). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available. For further explanation of ACS estimates and margin of error, visit Census ACS website.Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2015-2019Data License: Creative Commons Attribution 4.0 International (CC by 4.0)Link to the manifest: https://www.arcgis.com/sharing/rest/content/items/3d489c725bb24f52a987b302147c46ee/data

  11. f

    Voting Age (by Georgia Senate) 2018

    • gisdata.fultoncountyga.gov
    Updated Mar 4, 2020
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Georgia Association of Regional Commissions (2020). Voting Age (by Georgia Senate) 2018 [Dataset]. https://gisdata.fultoncountyga.gov/datasets/054b9eef3e8e4d6999d89d2d9e7bfc77
    Explore at:
    Dataset updated
    Mar 4, 2020
    Dataset provided by
    The Georgia Association of Regional Commissions
    Authors
    Georgia Association of Regional Commissions
    License

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

    Area covered
    Description

    This layer was developed by the Research & Analytics Division of the Atlanta Regional Commission using data from the U.S. Census Bureau.

    The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number – this is why a corresponding margin of error (MOE) is also given for ACS measures. The size of the MOE relative to its corresponding estimate value provides an indication of confidence in the accuracy of each estimate. Each MOE is expressed in the same units as its corresponding measure; for example, if the estimate value is expressed as a number, then its MOE will also be a number; if the estimate value is expressed as a percent, then its MOE will also be a percent.

    The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2014-2018). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.

    For a deep dive into the data model including every specific metric, see the Infrastructure Manifest. The manifest details ARC-defined naming conventions, field names/descriptions and topics, summary levels; source tables; notes and so forth for all metrics.

    For further explanation of ACS estimates and margin of error, visit Census ACS website.

    Naming conventions:

    Prefixes:

    None

    Count

    p

    Percent

    r

    Rate

    m

    Median

    a

    Mean (average)

    t

    Aggregate (total)

    ch

    Change in absolute terms (value in t2 - value in t1)

    pch

    Percent change ((value in t2 - value in t1) / value in t1)

    chp

    Change in percent (percent in t2 - percent in t1)

    s

    Significance flag for change: 1 = statistically significant with a 90% Confidence Interval, 0 = not statistically significant, blank = cannot be computed

    Suffixes:

    _e18

    Estimate from 2014-18 ACS

    _m18

    Margin of Error from 2014-18 ACS

    _00_v18

    Decennial 2000 in 2018 geography boundary

    _00_18

    Change, 2000-18

    _e10_v18

    Estimate from 2006-10 ACS in 2018 geography boundary

    _m10_v18

    Margin of Error from 2006-10 ACS in 2018 geography boundary

    _e10_18

    Change, 2010-18

  12. Median wealth per member of U.S. Congress by chamber 2008-2018

    • statista.com
    Updated Aug 9, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2024). Median wealth per member of U.S. Congress by chamber 2008-2018 [Dataset]. https://www.statista.com/statistics/274581/median-wealth-per-member-of-us-congress-by-chamber/
    Explore at:
    Dataset updated
    Aug 9, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    This graph shows the median wealth of US lawmakers in Congress from 2008 to 2018, for both chambers. In 2018, the median wealth in the Senate amounted to 1.76 million U.S. dollars.

  13. Z

    Representative Counties of Germany and Their Structural Data

    • data.niaid.nih.gov
    • zenodo.org
    Updated May 9, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Maor, Oliver (2025). Representative Counties of Germany and Their Structural Data [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_11166938
    Explore at:
    Dataset updated
    May 9, 2025
    Dataset authored and provided by
    Maor, Oliver
    License

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

    Area covered
    Germany
    Description

    Content

    A dataset of counties that are representative for Germany with regard to

    the average disposable income,

    the quota of divorces,

    the respective quotas of employees working in the services (excluding logistics, security, and cleaning) and the MINT sectors,

    the proportions of age groups in the total proportion of the respective population, with age groups in five-year strata for the population aged between 30 and 65 and the population in the age range between 65 and 75 each considered separately for the calculation of representativeness.

    In addition, data from the four big cities Berlin, München (Munich), Hamburg, and Köln (Cologne) were collected and reflected in the dataset.

    The dataset is based on the most recent data available at the time of the creation of the dataset, mainly deriving from 2022, as set out in detail in the readme.md file.

    Method applied

    The selection of the representative counties, as reflected in the dataset, was performed on the basis of official statistics with the aim of obtaining a confidence rate of 95%. The selection was based on a principal component analysis of the statistical data available for Germany and the addition of the regions with the lowest population density and the highest and lowest per capita disposable income. A check of the representativity of the selected counties was performed.

    In the case of Leipzig, the city and the district had to be treated together, in deviation from the official territorial division, with respect to a specific use case of the data.

  14. a

    Grandparents (by Georgia Senate) 2017

    • opendata.atlantaregional.com
    Updated Jun 26, 2019
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Georgia Association of Regional Commissions (2019). Grandparents (by Georgia Senate) 2017 [Dataset]. https://opendata.atlantaregional.com/datasets/grandparents-by-georgia-senate-2017/api
    Explore at:
    Dataset updated
    Jun 26, 2019
    Dataset provided by
    The Georgia Association of Regional Commissions
    Authors
    Georgia Association of Regional Commissions
    License

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

    Area covered
    Description

    This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2013-2017, to show the number of grandparents living with grandchildren and the number and percentage of grandparents responsible for grandchildren by Georgia Senate in the Atlanta region.

    The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number – this is why a corresponding margin of error (MOE) is also given for ACS measures. The size of the MOE relative to its corresponding estimate value provides an indication of confidence in the accuracy of each estimate. Each MOE is expressed in the same units as its corresponding measure; for example, if the estimate value is expressed as a number, then its MOE will also be a number; if the estimate value is expressed as a percent, then its MOE will also be a percent.

    The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2013-2017). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.

    For further explanation of ACS estimates and margin of error, visit Census ACS website.

    Naming conventions:

    Prefixes:

    None

    Count

    p

    Percent

    r

    Rate

    m

    Median

    a

    Mean (average)

    t

    Aggregate (total)

    ch

    Change in absolute terms (value in t2 - value in t1)

    pch

    Percent change ((value in t2 - value in t1) / value in t1)

    chp

    Change in percent (percent in t2 - percent in t1)

    Suffixes:

    None

    Change over two periods

    _e

    Estimate from most recent ACS

    _m

    Margin of Error from most recent ACS

    _00

    Decennial 2000

    Attributes:

    SumLevel

    Summary level of geographic unit (e.g., County, Tract, NSA, NPU, DSNI, SuperDistrict, etc)

    GEOID

    Census tract Federal Information Processing Series (FIPS) code

    NAME

    Name of geographic unit

    Planning_Region

    Planning region designation for ARC purposes

    Acres

    Total area within the tract (in acres)

    SqMi

    Total area within the tract (in square miles)

    County

    County identifier (combination of Federal Information Processing Series (FIPS) codes for state and county)

    CountyName

    County Name

    GrandWChild_e

    # Grandparents living with grandchildren under age 18, 2017

    GrandWChild_m

    # Grandparents living with grandchildren under age 18, 2017 (MOE)

    GrandRespChild_e

    # Grandparents responsible for grandchildren under age 18, 2017

    GrandRespChild_m

    # Grandparents responsible for grandchildren under age 18, 2017 (MOE)

    pGrandRespChild_e

    % Grandparents responsible for grandchildren under age 18, 2017

    pGrandRespChild_m

    % Grandparents responsible for grandchildren under age 18, 2017 (MOE)

    PopU18_e

    # Population under age 18, 2017

    PopU18_m

    # Population under age 18, 2017 (MOE)

    ChildrenByGrandHH_e

    # Children raised by grandparent, 2017

    ChildrenByGrandHH_m

    # Children raised by grandparent, 2017 (MOE)

    pChildrenByGrandHH_e

    % Children raised by grandparent, 2017

    pChildrenByGrandHH_m

    % Children raised by grandparent, 2017 (MOE)

    last_edited_date

    Last date the feature was edited by ARC

    Source: U.S. Census Bureau, Atlanta Regional Commission

    Date: 2013-2017

    For additional information, please visit the Census ACS website.

  15. f

    Housing Characteristics (by Georgia Senate) 2017

    • gisdata.fultoncountyga.gov
    Updated Jun 23, 2019
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Georgia Association of Regional Commissions (2019). Housing Characteristics (by Georgia Senate) 2017 [Dataset]. https://gisdata.fultoncountyga.gov/datasets/GARC::housing-characteristics-by-georgia-senate-2017/explore
    Explore at:
    Dataset updated
    Jun 23, 2019
    Dataset provided by
    The Georgia Association of Regional Commissions
    Authors
    Georgia Association of Regional Commissions
    License

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

    Area covered
    Description

    This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2013-2017, to show age, type, vacancy rates, and owner/renter tenure of housing units by Georgia Senate in the Atlanta region.

    The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number – this is why a corresponding margin of error (MOE) is also given for ACS measures. The size of the MOE relative to its corresponding estimate value provides an indication of confidence in the accuracy of each estimate. Each MOE is expressed in the same units as its corresponding measure; for example, if the estimate value is expressed as a number, then its MOE will also be a number; if the estimate value is expressed as a percent, then its MOE will also be a percent.

    The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2013-2017). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.

    For further explanation of ACS estimates and margin of error, visit Census ACS website.

    Naming conventions:

    Prefixes:

    None

    Count

    p

    Percent

    r

    Rate

    m

    Median

    a

    Mean (average)

    t

    Aggregate (total)

    ch

    Change in absolute terms (value in t2 - value in t1)

    pch

    Percent change ((value in t2 - value in t1) / value in t1)

    chp

    Change in percent (percent in t2 - percent in t1)

    Suffixes:

    None

    Change over two periods

    _e

    Estimate from most recent ACS

    _m

    Margin of Error from most recent ACS

    _00

    Decennial 2000

    Attributes:

    Attributes and definitions available below under "Attributes" section and in Infrastructure Manifest (due to text box constraints, attributes cannot be displayed here).

    Source: U.S. Census Bureau, Atlanta Regional Commission

    Date: 2013-2017

    For additional information, please visit the Census ACS website.

  16. f

    Migration (by Georgia Senate) 2017

    • gisdata.fultoncountyga.gov
    Updated Jun 26, 2019
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Georgia Association of Regional Commissions (2019). Migration (by Georgia Senate) 2017 [Dataset]. https://gisdata.fultoncountyga.gov/datasets/GARC::migration-by-georgia-senate-2017/about
    Explore at:
    Dataset updated
    Jun 26, 2019
    Dataset provided by
    The Georgia Association of Regional Commissions
    Authors
    Georgia Association of Regional Commissions
    License

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

    Area covered
    Description

    This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2013-2017, to show the number and percentages of migration by Georgia Senate in the Atlanta region.

    The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number – this is why a corresponding margin of error (MOE) is also given for ACS measures. The size of the MOE relative to its corresponding estimate value provides an indication of confidence in the accuracy of each estimate. Each MOE is expressed in the same units as its corresponding measure; for example, if the estimate value is expressed as a number, then its MOE will also be a number; if the estimate value is expressed as a percent, then its MOE will also be a percent.

    The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2013-2017). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.

    For further explanation of ACS estimates and margin of error, visit Census ACS website.

    Naming conventions:

    Prefixes:

    None

    Count

    p

    Percent

    r

    Rate

    m

    Median

    a

    Mean (average)

    t

    Aggregate (total)

    ch

    Change in absolute terms (value in t2 - value in t1)

    pch

    Percent change ((value in t2 - value in t1) / value in t1)

    chp

    Change in percent (percent in t2 - percent in t1)

    Suffixes:

    None

    Change over two periods

    _e

    Estimate from most recent ACS

    _m

    Margin of Error from most recent ACS

    _00

    Decennial 2000

    Attributes:

    SumLevel

    Summary level of geographic unit (e.g., County, Tract, NSA, NPU, DSNI, SuperDistrict, etc)

    GEOID

    Census tract Federal Information Processing Series (FIPS) code

    NAME

    Name of geographic unit

    Planning_Region

    Planning region designation for ARC purposes

    Acres

    Total area within the tract (in acres)

    SqMi

    Total area within the tract (in square miles)

    County

    County identifier (combination of Federal Information Processing Series (FIPS) codes for state and county)

    CountyName

    County Name

    Pop1P_e

    # Population ages 1 year and over, 2017

    Pop1P_m

    # Population ages 1 year and over, 2017 (MOE)

    SameHouse_e

    # Living in the same house as 1 year ago, 2017

    SameHouse_m

    # Living in the same house as 1 year ago, 2017 (MOE)

    pSameHouse_e

    % Living in the same house as 1 year ago, 2017

    pSameHouse_m

    % Living in the same house as 1 year ago, 2017 (MOE)

    DiffHouseInUS_e

    # Living in a different house in the U.S. 1 year ago, 2017

    DiffHouseInUS_m

    # Living in a different house in the U.S. 1 year ago, 2017 (MOE)

    pDiffHouseInUS_e

    % Living in a different house in the U.S. 1 year ago, 2017

    pDiffHouseInUS_m

    % Living in a different house in the U.S. 1 year ago, 2017 (MOE)

    SameCounty_e

    # Living in a different house in the same county 1 year ago, 2017

    SameCounty_m

    # Living in a different house in the same county 1 year ago, 2017 (MOE)

    pSameCounty_e

    % Living in a different house in the same county 1 year ago, 2017

    pSameCounty_m

    % Living in a different house in the same county 1 year ago, 2017 (MOE)

    DiffCounty_e

    # Living in a different county 1 year ago, 2017

    DiffCounty_m

    # Living in a different county 1 year ago, 2017 (MOE)

    pDiffCounty_e

    % Living in a different county 1 year ago, 2017

    pDiffCounty_m

    % Living in a different county 1 year ago, 2017 (MOE)

    SameState_e

    # Living in a different county, same state 1 year ago, 2017

    SameState_m

    # Living in a different county, same state 1 year ago, 2017 (MOE)

    pSameState_e

    % Living in a different county, same state 1 year ago, 2017

    pSameState_m

    % Living in a different county, same state 1 year ago, 2017 (MOE)

    Diff_State_e

    # Living in a different state 1 year ago, 2017

    Diff_State_m

    # Living in a different state 1 year ago, 2017 (MOE)

    pDiff_State_e

    % Living in a different state 1 year ago, 2017

    pDiff_State_m

    % Living in a different state 1 year ago, 2017 (MOE)

    Abroad_e

    # Living abroad 1 year ago, 2017

    Abroad_m

    # Living abroad 1 year ago, 2017 (MOE)

    pAbroad_e

    % Living abroad 1 year ago, 2017

    pAbroad_m

    % Living abroad 1 year ago, 2017 (MOE)

    Moved_e

    # Moved in the last year, 2017

    Moved_m

    # Moved in the last year, 2017 (MOE)

    pMoved_e

    % Moved in the last year, 2017

    pMoved_m

    % Moved in the last year, 2017 (MOE)

    last_edited_date

    Last date the feature was edited by ARC

    Source: U.S. Census Bureau, Atlanta Regional Commission

    Date: 2013-2017

    For additional information, please visit the Census ACS website.

  17. ABC News/Washington Post Poll, January 2000

    • icpsr.umich.edu
    spss
    Updated Oct 18, 2000
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Inter-university Consortium for Political and Social Research [distributor] (2000). ABC News/Washington Post Poll, January 2000 [Dataset]. http://doi.org/10.3886/ICPSR02965.v1
    Explore at:
    spssAvailable download formats
    Dataset updated
    Oct 18, 2000
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/2965/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/2965/terms

    Time period covered
    Jan 10, 2000
    Area covered
    United States
    Description

    This poll, fielded January 10, 2000, is part of a continuing series of monthly surveys that solicit public opinion on the presidency and on a range of other political and social issues. Respondents were asked to give their opinions of President Bill Clinton and his handling of the presidency, foreign policy, and the economy, as well as their views on the upcoming November 7, 2000, presidential election and the current presidential primary/caucus season. Respondents were asked how much attention they had paid to the 2000 presidential race and whether they intended to vote. Given a choice between Vice President Al Gore, former New Jersey senator Bill Bradley, Texas governor George W. Bush, and Arizona senator John McCain, those queried were asked for whom they would vote. Their views were sought on the most important issues of this presidential election and which candidate was best suited to handle issues such as education, the economy, taxes, Social Security/Medicare, campaign finance reform, international affairs, and health care. Respondents were asked if the following statements applied to Bradley, Bush, Gore, or McCain: typical politician, understands the average American, strong leader, experienced enough to be president, would bring needed change to Washington, DC, knowledgeable of world affairs, loyal to his political party, inspiring, and has a chance of winning the election. Respondents were asked for whom they would vote in a Democratic primary or caucus, given a choice between Gore and Bradley, and for whom they would vote in a Republican primary or caucus, given a choice among Bush, conservative commentator Pat Buchanan, publisher Steve Forbes, McCain, radio talk show host Alan Keyes, Family Research Council president Gary Bauer, and Utah senator Orrin Hatch. Additional topics covered whether respondents were pleased with the choice of candidates for the 2000 election, whether they would support a plan whereby candidates agreed to participate in twice-weekly debates and agreed not to run televised political advertisements, and whether they believed homosexuals should be allowed to serve in the military. Background information on respondents includes age, sex, education, political party, political orientation, Hispanic descent, voter registration and participation history, military service, labor union membership, and family income.

  18. f

    School Enrollment (by Georgia Senate) 2017

    • gisdata.fultoncountyga.gov
    Updated Jun 25, 2019
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Georgia Association of Regional Commissions (2019). School Enrollment (by Georgia Senate) 2017 [Dataset]. https://gisdata.fultoncountyga.gov/datasets/GARC::school-enrollment-by-georgia-senate-2017/about
    Explore at:
    Dataset updated
    Jun 25, 2019
    Dataset provided by
    The Georgia Association of Regional Commissions
    Authors
    Georgia Association of Regional Commissions
    License

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

    Area covered
    Description

    This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2013-2017, to show counts and percentages for school enrollment by education level by Georgia Senate in the Atlanta region.

    The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number – this is why a corresponding margin of error (MOE) is also given for ACS measures. The size of the MOE relative to its corresponding estimate value provides an indication of confidence in the accuracy of each estimate. Each MOE is expressed in the same units as its corresponding measure; for example, if the estimate value is expressed as a number, then its MOE will also be a number; if the estimate value is expressed as a percent, then its MOE will also be a percent.

    The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2013-2017). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.

    For further explanation of ACS estimates and margin of error, visit Census ACS website.

    Naming conventions:

    Prefixes:

    None

    Count

    p

    Percent

    r

    Rate

    m

    Median

    a

    Mean (average)

    t

    Aggregate (total)

    ch

    Change in absolute terms (value in t2 - value in t1)

    pch

    Percent change ((value in t2 - value in t1) / value in t1)

    chp

    Change in percent (percent in t2 - percent in t1)

    Suffixes:

    None

    Change over two periods

    _e

    Estimate from most recent ACS

    _m

    Margin of Error from most recent ACS

    _00

    Decennial 2000

    Attributes:

    SumLevel

    Summary level of geographic unit (e.g., County, Tract, NSA, NPU, DSNI, SuperDistrict, etc)

    GEOID

    Census tract Federal Information Processing Series (FIPS) code

    NAME

    Name of geographic unit

    Planning_Region

    Planning region designation for ARC purposes

    Acres

    Total area within the tract (in acres)

    SqMi

    Total area within the tract (in square miles)

    County

    County identifier (combination of Federal Information Processing Series (FIPS) codes for state and county)

    CountyName

    County Name

    Pop3P_e

    # Population ages 3 and over, 2017

    Pop3P_m

    # Population ages 3 and over, 2017 (MOE)

    InSchool_e

    # Population 3 years and over enrolled in school, 2017

    InSchool_m

    # Population 3 years and over enrolled in school, 2017 (MOE)

    InPreSchool_e

    # Enrolled in nursery school, preschool, 2017

    InPreSchool_m

    # Enrolled in nursery school, preschool, 2017 (MOE)

    pInPreSchool_e

    % Enrolled in nursery school, preschool, 2017

    pInPreSchool_m

    % Enrolled in nursery school, preschool, 2017 (MOE)

    InKindergarten_e

    # Enrolled in kindergarten, 2017

    InKindergarten_m

    # Enrolled in kindergarten, 2017 (MOE)

    pInKindergarten_e

    % Enrolled in kindergarten, 2017

    pInKindergarten_m

    % Enrolled in kindergarten, 2017 (MOE)

    InElementary_e

    # Enrolled in elementary school (grades 1-8), 2017

    InElementary_m

    # Enrolled in elementary school (grades 1-8), 2017 (MOE)

    pInElementary_e

    % Enrolled in elementary school (grades 1-8), 2017

    pInElementary_m

    % Enrolled in elementary school (grades 1-8), 2017 (MOE)

    InHS_e

    # Enrolled in high school (grades 9-12), 2017

    InHS_m

    # Enrolled in high school (grades 9-12), 2017 (MOE)

    pInHS_e

    % Enrolled in high school (grades 9-12), 2017

    pInHS_m

    % Enrolled in high school (grades 9-12), 2017 (MOE)

    InCollegeGradSch_e

    # Enrolled in college or graduate school, 2017

    InCollegeGradSch_m

    # Enrolled in college or graduate school, 2017 (MOE)

    last_edited_date

    Last date the feature was edited by ARC

    Source: U.S. Census Bureau, Atlanta Regional Commission

    Date: 2013-2017

    For additional information, please visit the Census ACS website.

  19. U.S. Senators in Congress 1975-2025, by gender

    • statista.com
    Updated Feb 24, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). U.S. Senators in Congress 1975-2025, by gender [Dataset]. https://www.statista.com/statistics/198423/senators-in-the-us-congress-by-gender-since-1975/
    Explore at:
    Dataset updated
    Feb 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The 119th Congress began in January 2025. In this Congress, there were 26 women serving as Senators, and 74 men. The number of women has increased since the 1975 when there were no women in the Senate. The first female Senator was Rebecca Felton of Georgia who was sworn in 1922. A breakdown of women Senators by party can be found here.

  20. U.S. Congress members annual salary 1990-2025

    • statista.com
    Updated Jun 27, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). U.S. Congress members annual salary 1990-2025 [Dataset]. https://www.statista.com/statistics/1362153/congressional-salaries-us/
    Explore at:
    Dataset updated
    Jun 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The annual salary received by members of the United States Congress in 2025 is ******* U.S. dollars. This has been the case since 2009. The Government Ethics Reform Act of 1989 provides an automatic cost of living adjustment increase in line with the

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Statista (2025). U.S. number of Senate members 2024, by 2025 [Dataset]. https://www.statista.com/statistics/1361920/senators-age-share-us/
Organization logo

U.S. number of Senate members 2024, by 2025

Explore at:
Dataset updated
Jun 27, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United States
Description

As of 2025, the average age of senators in the 119th Congress was **. Of the total 100, ** members of the U.S. Senate were between the ages of ** and ** - more than any other age group. The minimum age requirement to be a member of the Senate is **, opposed to the House of Representatives which has a minimum age requirement of **. The average age of members of Congress from 2009 to 2023 can be found here.

Search
Clear search
Close search
Google apps
Main menu