Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Income brackets:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Columbus City median household income by age. You can refer the same here
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.
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.
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)
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)
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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
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Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Income brackets:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for Columbus City median household income by age. You can refer the same here