7 datasets found
  1. N

    Income Bracket Analysis by Age Group Dataset: Age-Wise Distribution of...

    • neilsberg.com
    csv, json
    Updated Feb 25, 2025
    + more versions
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    Neilsberg Research (2025). Income Bracket Analysis by Age Group Dataset: Age-Wise Distribution of Columbus City, IA Household Incomes Across 16 Income Brackets // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/columbus-city-ia-median-household-income-by-age/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Feb 25, 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
    Iowa, Columbus City
    Variables measured
    Number of households with income $200,000 or more, Number of households with income less than $10,000, Number of households with income between $15,000 - $19,999, Number of households with income between $20,000 - $24,999, Number of households with income between $25,000 - $29,999, Number of households with income between $30,000 - $34,999, Number of households with income between $35,000 - $39,999, Number of households with income between $40,000 - $44,999, Number of households with income between $45,000 - $49,999, Number of households with income between $50,000 - $59,999, and 6 more
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It delineates income distributions across 16 income brackets (mentioned above) following an initial analysis and categorization. Using this dataset, you can find out the total number of households within a specific income bracket along with how many households with that income bracket for each of the 4 age cohorts (Under 25 years, 25-44 years, 45-64 years and 65 years and over). For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Columbus City: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..

    Key observations

    • Upon closer examination of the distribution of households among age brackets, it reveals that there are 0 households where the householder is under 25 years old, 18(13.43%) households with a householder aged between 25 and 44 years, 75(55.97%) households with a householder aged between 45 and 64 years, and 41(30.60%) households where the householder is over 65 years old.
    • The age group of 25 to 44 years exhibits the highest median household income, while the largest number of households falls within the 45 to 64 years bracket. This distribution hints at economic disparities within the city of Columbus City, showcasing varying income levels among different age demographics.
    Content

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

    Income brackets:

    • Less than $10,000
    • $10,000 to $14,999
    • $15,000 to $19,999
    • $20,000 to $24,999
    • $25,000 to $29,999
    • $30,000 to $34,999
    • $35,000 to $39,999
    • $40,000 to $44,999
    • $45,000 to $49,999
    • $50,000 to $59,999
    • $60,000 to $74,999
    • $75,000 to $99,999
    • $100,000 to $124,999
    • $125,000 to $149,999
    • $150,000 to $199,999
    • $200,000 or more

    Variables / Data Columns

    • Household Income: This column showcases 16 income brackets ranging from Under $10,000 to $200,000+ ( As mentioned above).
    • Under 25 years: The count of households led by a head of household under 25 years old with income within a specified income bracket.
    • 25 to 44 years: The count of households led by a head of household 25 to 44 years old with income within a specified income bracket.
    • 45 to 64 years: The count of households led by a head of household 45 to 64 years old with income within a specified income bracket.
    • 65 years and over: The count of households led by a head of household 65 years and over old with income within a specified income bracket.

    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 Columbus City median household income by age. You can refer the same here

  2. Experimental estimates for business openings and closures for Canada,...

    • www150.statcan.gc.ca
    • open.canada.ca
    Updated Mar 24, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Experimental estimates for business openings and closures for Canada, provinces and territories, census metropolitan areas, seasonally adjusted [Dataset]. http://doi.org/10.25318/3310027001-eng
    Explore at:
    Dataset updated
    Mar 24, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    This table presents experimental counts of businesses that open, close, or continue their operations each month for various levels of geographic and industry detail across Canada going back to January 2015. The data are available as series that are adjusted for seasonality. The level of geographic detail includes national, provincial and territorial, as well as census metropolitan areas (CMA). The data are also broken down by two-digit North American Industry Classification System (NAICS) with some common aggregations, including one for the total business sector for national, provincial and territorial levels of geography.

  3. Share of rural population by size of closest city in Africa 2019

    • statista.com
    Updated Sep 29, 2023
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    Statista (2023). Share of rural population by size of closest city in Africa 2019 [Dataset]. https://www.statista.com/statistics/1307699/share-of-rural-population-by-size-of-closest-city-in-africa/
    Explore at:
    Dataset updated
    Sep 29, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    Africa
    Description

    As of 2019, most rural inhabitants in Africa resided close to small and mid-sized towns. The nearest city to almost 70 percent of the rural population had between 10,000 and 50,000 inhabitants. Smaller shares of rural households, on the other hand, lived closer to larger urban areas. As of the same year, roughly half of the rural residents lived within 14 kilometers from a city.

  4. d

    VIC DET - School Zones - Secondary Year 8 (Polygon) 2020

    • data.gov.au
    ogc:wfs, wms
    Updated Dec 3, 2020
    + more versions
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    (2020). VIC DET - School Zones - Secondary Year 8 (Polygon) 2020 [Dataset]. https://data.gov.au/dataset/ds-aurin-aurin%3Adatasource-VIC_Govt_DET-UoM_AURIN_DB_vic_det_school_zone_secondary_year8_2020
    Explore at:
    ogc:wfs, wmsAvailable download formats
    Dataset updated
    Dec 3, 2020
    Description

    This dataset presents the school zones for Secondary schools in Victoria with the Year 8 curriculum for the year of 2020. All public primary and secondary schools, including Prep/Foundation to Year …Show full descriptionThis dataset presents the school zones for Secondary schools in Victoria with the Year 8 curriculum for the year of 2020. All public primary and secondary schools, including Prep/Foundation to Year 9 and multi-campus schools have enrolment zones. This does not include schools with specific enrolment criteria including English Language Schools and Select Entry Schools. Specialist schools also do not have zones and have special enrolment criteria. Designated neighbourhood schools are generally the public school within closest proximity to the student’s permanent residential address, unless the Minister for Education or Regional Director has restricted the zone of the school. Closest proximity is calculated as the nearest school by straight line distance in metropolitan areas (including Geelong, Ballarat and Bendigo), or the nearest school by shortest practical route (in regional areas). Zones were produces in Datum 1994 VicGrid projection (EPSG: 3111) using locations that represent the front of the school or driveway access. Voronoi polygons define the measure of straight line distance and calculations using road classes 0 to 7 in the VicMap road network layer were used to define the measure of shortest practical route. The zones of schools defined as metropolitan have taken preference over the zones of regional schools where they interface. A small number of zones have been restricted by the Minister for Education to support schools in managing their enrolments. Some schools zones have been aligned with structural and geographic barriers recognising the significant accessibility issues they impose. School enrolment zones are reviewed annually and updated as government school provision changes. The school zone dataset is comprised of distinct map layers for primary schools and for each year of secondary school, acknowledging the different year levels offered by schools. For more information please visit the Victorian Government Data Portal or the Find My School website. Please note: The Victorian school zone layers can be used in conjunction with the Victorian school location layers. Copyright attribution: Government of Victoria - Department of Education and Training, (2019): ; accessed from AURIN on 12/3/2020. Licence type: Creative Commons Attribution 4.0 International (CC BY 4.0)

  5. d

    VIC DET - School Zones - Single Sex Schools (Polygon) 2020

    • data.gov.au
    ogc:wfs, wms
    Updated Dec 3, 2020
    + more versions
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    (2020). VIC DET - School Zones - Single Sex Schools (Polygon) 2020 [Dataset]. https://data.gov.au/dataset/ds-aurin-aurin%3Adatasource-VIC_Govt_DET-UoM_AURIN_DB_vic_det_school_zone_single_sex_schools_2020
    Explore at:
    wms, ogc:wfsAvailable download formats
    Dataset updated
    Dec 3, 2020
    Description

    This dataset presents the school zones for single sex schools in Victoria for the year of 2020. All public primary and secondary schools, including Prep/Foundation to Year 9 and multi-campus schools …Show full descriptionThis dataset presents the school zones for single sex schools in Victoria for the year of 2020. All public primary and secondary schools, including Prep/Foundation to Year 9 and multi-campus schools have enrolment zones. This does not include schools with specific enrolment criteria including English Language Schools and Select Entry Schools. Specialist schools also do not have zones and have special enrolment criteria. Designated neighbourhood schools are generally the public school within closest proximity to the student’s permanent residential address, unless the Minister for Education or Regional Director has restricted the zone of the school. Closest proximity is calculated as the nearest school by straight line distance in metropolitan areas (including Geelong, Ballarat and Bendigo), or the nearest school by shortest practical route (in regional areas). Zones were produces in Datum 1994 VicGrid projection (EPSG: 3111) using locations that represent the front of the school or driveway access. Voronoi polygons define the measure of straight line distance and calculations using road classes 0 to 7 in the VicMap road network layer were used to define the measure of shortest practical route. The zones of schools defined as metropolitan have taken preference over the zones of regional schools where they interface. A small number of zones have been restricted by the Minister for Education to support schools in managing their enrolments. Some schools zones have been aligned with structural and geographic barriers recognising the significant accessibility issues they impose. School enrolment zones are reviewed annually and updated as government school provision changes. The school zone dataset is comprised of distinct map layers for primary schools and for each year of secondary school, acknowledging the different year levels offered by schools. For more information please visit the Victorian Government Data Portal or the Find My School website. Please note: The Victorian school zone layers can be used in conjunction with the Victorian school location layers. Copyright attribution: Government of Victoria - Department of Education and Training, (2019): ; accessed from AURIN on 12/3/2020. Licence type: Creative Commons Attribution 4.0 International (CC BY 4.0)

  6. Share of rural population by distance to the closest city in Africa 2019

    • statista.com
    Updated Sep 29, 2023
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    Share of rural population by distance to the closest city in Africa 2019 [Dataset]. https://www.statista.com/statistics/1307690/share-of-rural-population-by-distance-to-the-closest-city-in-africa/
    Explore at:
    Dataset updated
    Sep 29, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    Africa
    Description

    Around 90 percent of the rural population in Africa lived within 47 kilometers of a city as of 2019. Moreover, roughly half of the rural residents lived within a 14-kilometer distance from a city. In contrast, only less than 1.5 percent of the rural households resided further than 100 kilometers from a city. Urbanization in Africa has increased in recent years. Gabon, Libya, and Djibouti had the highest urbanization rate on the continent in 2020.

  7. d

    Victorian Government School Zones 2022

    • data.gov.au
    zip
    Updated May 30, 2023
    + more versions
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    Department of Education (2023). Victorian Government School Zones 2022 [Dataset]. https://data.gov.au/dataset/ds-vic-aa52df80-546b-42e4-a2f0-fb19fe6bbf21
    Explore at:
    zipAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    Department of Education
    License

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

    Area covered
    Victoria
    Description

    All government primary and secondary schools, including Prep/Foundation to Year 9 and multi-campus schools have school zones. This does not include schools with specific enrolment criteria including …Show full descriptionAll government primary and secondary schools, including Prep/Foundation to Year 9 and multi-campus schools have school zones. This does not include schools with specific enrolment criteria including English Language Schools and Select Entry Schools. Specialist schools also do not have school zones and have special enrolment criteria. Designated neighbourhood schools are generally the public school within closest proximity to the student’s permanent residential address, unless the Minister for Education or Regional Director has restricted the zone of the school. Closest proximity is calculated as the nearest school by straight line distance in metropolitan areas (including Geelong, Ballarat and Bendigo), or the nearest school by shortest practical route (in regional areas). School zones were produced in GDA94 VicGrid projection (EPSG: 3111) using locations that represent the front of the school or driveway access. Voronoi polygons define the measure of straight-line distance and calculations using road classes 0 to 7 in the VicMap Roads dataset were used to define the measure of shortest practical route. School zones defined as metropolitan have taken preference over school zones of regional schools where they interface. A small number of school zones have been restricted by the Minister for Education to support schools in managing their enrolments. Some school zones have been aligned with structural and geographic barriers recognising the significant accessibility issues they impose. School zones are reviewed annually and updated as government school provision changes. The school zones ZIP file consists of distinct spatial datasets for primary school zones and school zones for each year of secondary school, acknowledging the different year levels offered by schools. The spatial datasets can be used in conjunction with the school locations CSV file also available on data.vic.gov.au. School zones have been published on the findmyschool.vic.gov.au website. The Victorian government school zones are intended to be relied on by parents and families for the purposes of making enrolment decisions for their children. They should not be relied on for making property purchase decisions, or by any party other than parents and families seeking to enrol their child in a government school.

  8. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
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Neilsberg Research (2025). Income Bracket Analysis by Age Group Dataset: Age-Wise Distribution of Columbus City, IA Household Incomes Across 16 Income Brackets // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/columbus-city-ia-median-household-income-by-age/

Income Bracket Analysis by Age Group Dataset: Age-Wise Distribution of Columbus City, IA Household Incomes Across 16 Income Brackets // 2025 Edition

Explore at:
json, csvAvailable download formats
Dataset updated
Feb 25, 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
Iowa, Columbus City
Variables measured
Number of households with income $200,000 or more, Number of households with income less than $10,000, Number of households with income between $15,000 - $19,999, Number of households with income between $20,000 - $24,999, Number of households with income between $25,000 - $29,999, Number of households with income between $30,000 - $34,999, Number of households with income between $35,000 - $39,999, Number of households with income between $40,000 - $44,999, Number of households with income between $45,000 - $49,999, Number of households with income between $50,000 - $59,999, and 6 more
Measurement technique
The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It delineates income distributions across 16 income brackets (mentioned above) following an initial analysis and categorization. Using this dataset, you can find out the total number of households within a specific income bracket along with how many households with that income bracket for each of the 4 age cohorts (Under 25 years, 25-44 years, 45-64 years and 65 years and over). For additional information about these estimations, please contact us via email at research@neilsberg.com
Dataset funded by
Neilsberg Research
Description
About this dataset

Context

The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Columbus City: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..

Key observations

  • Upon closer examination of the distribution of households among age brackets, it reveals that there are 0 households where the householder is under 25 years old, 18(13.43%) households with a householder aged between 25 and 44 years, 75(55.97%) households with a householder aged between 45 and 64 years, and 41(30.60%) households where the householder is over 65 years old.
  • The age group of 25 to 44 years exhibits the highest median household income, while the largest number of households falls within the 45 to 64 years bracket. This distribution hints at economic disparities within the city of Columbus City, showcasing varying income levels among different age demographics.
Content

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

Income brackets:

  • Less than $10,000
  • $10,000 to $14,999
  • $15,000 to $19,999
  • $20,000 to $24,999
  • $25,000 to $29,999
  • $30,000 to $34,999
  • $35,000 to $39,999
  • $40,000 to $44,999
  • $45,000 to $49,999
  • $50,000 to $59,999
  • $60,000 to $74,999
  • $75,000 to $99,999
  • $100,000 to $124,999
  • $125,000 to $149,999
  • $150,000 to $199,999
  • $200,000 or more

Variables / Data Columns

  • Household Income: This column showcases 16 income brackets ranging from Under $10,000 to $200,000+ ( As mentioned above).
  • Under 25 years: The count of households led by a head of household under 25 years old with income within a specified income bracket.
  • 25 to 44 years: The count of households led by a head of household 25 to 44 years old with income within a specified income bracket.
  • 45 to 64 years: The count of households led by a head of household 45 to 64 years old with income within a specified income bracket.
  • 65 years and over: The count of households led by a head of household 65 years and over old with income within a specified income bracket.

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 Columbus City median household income by age. You can refer the same here

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