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The data sets in this repository allow users to link people among the U.S. decennial censuses, using the "histid" identifier. The census data sets users will need are indexed by Ancestry.com and are hosted by IPUMS at https://usa.ipums.org/usa-action/samples. Users will need to download the full-count census for each year and be sure to select the "histid" variable that is available under the Person/Historical Technical drop-down menu.As of 7/12/21, links are available between the 1900-1910, 1910-1920, and 1900-1920 censuses.A detailed account of how these links are created and a description of the data and its characteristics are available in the following article:Price, J., Buckles, K., Van Leeuwen, J., & Riley, I. (2021). Combining family history and machine learning to link historical records: The Census Tree data set. Explorations in Economic History, 80, 101391.https://www.sciencedirect.com/science/article/pii/S0014498321000024
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
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Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units for states and counties..Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Technical Documentation section.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2021 American Community Survey 1-Year Estimates.Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..The 2021 American Community Survey (ACS) data generally reflect the March 2020 Office of Management and Budget (OMB) delineations of metropolitan and micropolitan statistical areas. In certain instances the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB delineations due to differences in the effective dates of the geographic entities..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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This dataset provides Census 2021 estimates that classify usual residents in Birmingham by ethnic group, by religion, and by age.
Ethnic Group: The ethnic group that the person completing the census feels they belong to. This could be based on their culture, family background, identity or physical appearance. Religion: The religion people connect or identify with (their religious affiliation), whether or not they practise or have belief in it. Age: A person's age on Census Day, 21 March 2021 in England and Wales.CoverageThis dataset is focused on the data for Birmingham at city level. About the 2021 CensusThe Census takes place every 10 years and gives us a picture of all the people and households in England and Wales.Protecting personal dataThe ONS sometimes need to make changes to data if it is possible to identify individuals. This is known as statistical disclosure control. In Census 2021, they:Swapped records (targeted record swapping), for example, if a household was likely to be identified in datasets because it has unusual characteristics, they swapped the record with a similar one from a nearby small area. Very unusual households could be swapped with one in a nearby local authority.Added small changes to some counts (cell key perturbation), for example, we might change a count of four to a three or a five. This might make small differences between tables depending on how the data are broken down when they applied perturbation.For more geographies, aggregations or topics see the link in the Reference below. Or, to create a custom dataset with multiple variables use the ONS Create a custom dataset tool.
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🇬🇧 영국 English The census is undertaken by the Office for National Statistics every 10 years and gives us a picture of all the people and households in England and Wales. The most recent census took place in March of 2021.The census asks every household questions about the people who live there and the type of home they live in. In doing so, it helps to build a detailed snapshot of society. Information from the census helps the government and local authorities to plan and fund local services, such as education, doctors' surgeries and roads.Key census statistics for Leicester are published on the open data platform to make information accessible to local services, voluntary and community groups, and residents.Further information about the census and full datasets can be found on the ONS website - https://www.ons.gov.uk/census/aboutcensus/censusproductsReligionThis dataset provides Census 2021 estimates that classify usual residents in England and Wales by religion. The estimates are as at Census Day, 21 March 2021.Definition: The religion people connect or identify with (their religious affiliation), whether or not they practice or have belief in it.This question was voluntary and the variable includes people who answered the question, including 'No Religion', alongside those who chose not to answer this question.This variable classifies responses into the eight tick-box response options. Write-in responses are classified by their "parent" religious affiliation, including 'No Religion', where applicable.This dataset contains details for Leicester City and England overall.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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The census is undertaken by the Office for National Statistics every 10 years and gives us a picture of all the people and households in England and Wales. The most recent census took place in March of 2021.The census asks every household questions about the people who live there and the type of home they live in. In doing so, it helps to build a detailed snapshot of society. Information from the census helps the government and local authorities to plan and fund local services, such as education, doctors' surgeries and roads.Key census statistics for Leicester are published on the open data platform to make information accessible to local services, voluntary and community groups, and residents.Further information about the census and full datasets can be found on the ONS website - https://www.ons.gov.uk/census/aboutcensus/censusproductsReligionThis dataset provides Census 2021 estimates that classify usual residents in England and Wales by religion. The estimates are as at Census Day, 21 March 2021.Definition: The religion people connect or identify with (their religious affiliation), whether or not they practice or have belief in it.This question was voluntary and the variable includes people who answered the question, including 'No Religion', alongside those who chose not to answer this question.This variable classifies responses into the eight tick-box response options. Write-in responses are classified by their "parent" religious affiliation, including 'No Religion', where applicable.This dataset contains details for Leicester City and England overall. There is also a dashboard that has been produced to show a selection of Census statistics for the city of Leicester which can be viewed here: Census 21 - Leicester dashboard.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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This dataset provides Census 2021 estimates that classify households in Birmingham constituencies by religious group. The estimates are as at Census Day, 21 March 2021.The religion question in the Census refers to the religion people connect or identify with (their religious affiliation), whether or not they practise or have belief in it.CoverageThis dataset is focused on the data for Birmingham at 2021 constituency level. About the 2021 CensusThe Census takes place every 10 years and gives us a picture of all the people and households in England and Wales.Protecting personal dataThe ONS sometimes need to make changes to data if it is possible to identify individuals. This is known as statistical disclosure control. In Census 2021, they:Swapped records (targeted record swapping), for example, if a household was likely to be identified in datasets because it has unusual characteristics, they swapped the record with a similar one from a nearby small area. Very unusual households could be swapped with one in a nearby local authority.Added small changes to some counts (cell key perturbation), for example, we might change a count of four to a three or a five. This might make small differences between tables depending on how the data are broken down when they applied perturbation.For more geographies, aggregations or topics see the link in the Reference below. Or, to create a custom dataset with multiple variables use the ONS Create a custom dataset tool.
Activity status of the resident population aged 15 to 64 by age group. This data is produced from the 2021 population census according to the geography in force on 1 January 2024. The population census makes it possible to know the diversity and evolution of the population of France. INSEE thus provides statistics on inhabitants and dwellings, their number and characteristics: breakdown by sex and age, occupations, housing conditions, modes of transport, commuting, etc. Age groups: * 15-24 years * 25-54 years * 55 years and over For more information on the variables, you can consult the definitions by clicking on this link For more methodological information, you can consult the fact sheets "Tips for the use of census results" by clicking on the link For more information on the use of the data, you can consult this document
Population Mid-year Estimates from the Office for National Statistics (ONS). These are the official estimates of the resident population in Lincolnshire. ONS uses information from the census and other data to produce these official mid-year population estimates every year between each census. These figures show how many people live in each local area and the population age-sex structure. This data is updated annually. Although the ONS data shows exact numbers, they are estimates so some rounding should be applied. For current Armed forces populations, two Ministry of Defence links are also shown below. The ONS 2021 Census link has Veterans data. Population Projections data sourced from ONS is also available on this platform. The Source link shown below is to the ONS Nomis website. It has user-friendly data query tools for a broad range of ONS and other datasets from official sources.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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The religion people connect or identify with (their religious affiliation), whether or not they practise or have belief in it. This question was voluntary and includes people who identified with one of eight tick-box response options, including "No religion", alongside those who chose not to answer this question.CoverageThis dataset is focused on the data for Birmingham at Ward level. Also available at LSOA, MSOA and Constituency levels.About the 2021 CensusThe Census takes place every 10 years and gives us a picture of all the people and households in England and Wales.Protecting personal dataThe ONS sometimes need to make changes to data if it is possible to identify individuals. This is known as statistical disclosure control. In Census 2021, they:
Swapped records (targeted record swapping), for example, if a household was likely to be identified in datasets because it has unusual characteristics, they swapped the record with a similar one from a nearby small area. Very unusual households could be swapped with one in a nearby local authority. Added small changes to some counts (cell key perturbation), for example, we might change a count of four to a three or a five. This might make small differences between tables depending on how the data are broken down when they applied perturbation.For more geographies, aggregations or topics see the link in the Reference below. Or, to create a custom dataset with multiple variables use the ONS Create a custom dataset tool.Population valueThe value column represents All usual residents.The percentage shown is the value as a percentage of All usual residents within the given geography.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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Census 2021 data on religion by general health, by sex, by age; religion by disability, by sex, by age; and, religion by unpaid care, by sex, by age; England and Wales combined. This dataset provides Census 2021 estimates that classify usual residents in England and Wales by ethnic group. The estimates are as at Census Day, 21 March 2021.
The religion people connect or identify with (their religious affiliation), whether or not they practise or have belief in it.
This question was voluntary and the variable includes people who answered the question, including “No religion”, alongside those who chose not to answer this question.
Total counts for some population groups may not match between published tables. This is to protect the confidentiality of individuals' data. Population counts have been rounded to the nearest 5 and any counts below 10 are suppressed, this is signified by a 'c' in the data tables.
The population base for unpaid care is usual residents aged 5 years and above. We have used 5-year age bands for the majority of analysis; however, age groups "5 to 17" and "18 to 24" have been used to allow commentary on young carers and young working age carers.
Quality notes can be found here
Religion
The 8 ‘tickbox’ religious groups are as follows:
General health
A person's assessment of the general state of their health from very good to very bad. This assessment is not based on a person's health over any specified period of time.
Disability
The definition of disability used in the 2021 Census is aligned with the definition of disability under the Equality Act (2010). A person is considered disabled if they self-report having a physical or mental health condition or illness that has lasted or is expected to last 12 months or more, and that this reduces their ability to carry out day-to-day activities.
Unpaid care
An unpaid carer may look after, give help or support to anyone who has long-term physical or mental ill-health conditions, illness or problems related to old age. This does not include any activities as part of paid employment. This help can be within or outside of the carer's household.
Open Government Licence 1.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/1/
License information was derived automatically
The NTEM SynthPop project required open data, as per OGL License (v1.0).
The data register:
data_register:
geography_msoa_ew:
description: MSOA boundaries, 2021.
geography: MSOA
region: England and Wales
last accessed: 10/06/2024
link: https://geoportal.statistics.gov.uk/datasets/ons::middle-layer-super-output-areas-december-2021-boundaries-ew-bsc-v2/about
notes: (BSC) Super generalised (200m) - clipped to the coastline (Mean High Water mark).
path: "MSOA_2021_EW_BSC_V2.gpkg"
source: Open Geography Portal
year: 2021
geography_iz_sc:
description: Proposed IZ boundaries, 2022.
geography: IZ
region: Scotland
last accessed: 19/08/2024
link: https://scotgov.maps.arcgis.com/home/item.html?id=90bf46cbf2254e80820a98d815c8fbcf
notes: Proposed Intermediate Zones 2022 Boundaries - for consultation
path: "Proposed_IZ_2022_Boundaries.zip"
source: "Scotland Census"
year: 2022
geography_oa_ew:
description: OA boundaries, 2021.
geography: OA
region: England and Wales
last accessed: 24/06/2024
link: https://geoportal.statistics.gov.uk/datasets/ons::output-areas-december-2021-boundaries-ew-bgc-v2/about
notes: (BGC) Generalised (20m) - clipped to the coastline (Mean High Water mark).
path: "boundaries/Output_Areas_2021_EW_BGC_V2.gpkg"
source: Open Geography Portal
year: 2021
geography_lad_2018_gb:
description: LAD boundaries, 2018.
geography: LAD
region: England, Wales and Scotland
last accessed: 19/11/2024
link: https://geoportal.statistics.gov.uk/datasets/ons::local-authority-districts-december-2018-boundaries-gb-bfc-2/about
notes: This file contains the digital vector boundaries for Local Authority Districts in Great Britain, as at December 2018.
path: "boundaries/LAD_Dec_2018_Boundaries_GB_BFC_2022_544341751432792127.gpkg"
source: Open Geography Portal
year: 2018
geography_msoa_population_weighted_centroids_ew:
description: Population-weighted centroids for MSOA boundaries.
geography: MSOA
region: England & Wales
last accessed: 31/05/2024
link: https://geoportal.statistics.gov.uk
notes: "This file contains the digital population weighted centroids for Middle layer Super Output Areas for England and Wales as at 31 December 2021. The centroids were created using Full Resolution, Extent of the Realm boundaries. Contains both Ordnance Survey and ONS Intellectual Property Rights."
path: "boundaries/Middle_Super_Output_Areas_DEC_2021_EW_PWC.gpkg"
source: Office for National Statistics
year: 2021
geography_msoa_2011_2021_ew_lookup_best_fit:
description: Lookup table between 2011 and 2021 MSOA boundaries and 2022 Local Authority Districts (best fit).
geography: MSOA
region: England & Wales
last accessed: 31/05/2024
link: https://geoportal.statistics.gov.uk
notes: "A best fit lookup file between Middle layer Super Output Areas (MSOA) as at December 2011 and MSOAs as at December 2021 in England and Wales. The lookup contains all the 2011 MSOAs (7,201) and these are point-in-polygon to the 2021 MSOA full extent boundaries (which contains 7,182 records, so 82 MSOAs are missing from the 2021 MSOAs)."
path: "boundaries/MSOA_(2011)_to_MSOA_(2021)_to_Local_Authority_District_(2022)_Best_Fit_Lookup_for_EW_(V2).csv"
source: Office for National Statistics
year: 2021
geography_msoa_2011_2021_ew_lookup_exact_fit:
description: Lookup table between 2011 and 2021 MSOA boundaries and 2022 Local Authority Districts (exact fit).
geography: MSOA
region: England & Wales
last accessed: 31/05/2024
link: https://geoportal.statistics.gov.uk
notes: >
This is an exact fit lookup file between Middle layer Super Output Areas as at December 2011 and Middle layer Super Output Areas as at December 2021 and Local Authority Districts as at December 2022 in England and Wales. This product has been provided with a change indicator field, that define the lookup between 2011 and 2021 MSOA. This field indicates which output areas / super output areas have changed between 2011 and 2021. This version 2 has had some changes to the change indicator field where splits have gone to complexes in under 10 MSOAs. There are four designated categories to describe the changes, and these are as follows:
U - No Change from 2011 to 2021. This means that direct comparisons can be made between these 2011 and 2021 MSOA.
S - Split. This means that the 2011 MSOA has been split into two or more 2021 MSOA. There will be one record for each of the 2021 MSOA that the 2011 MSOA has been split into. This means direct comparisons can be made between estimates for the single 2011 MSOA and the estimates from the aggregated 2021 MSOA.
M - Merged. 2011 MSOA have been merged with another one or more 2011 MSOA to form a single 2021 MSOA. This means direct comparisons can be made between the aggregated 2011 MSOAs’ estimates and the single 2021 MSOA’s estimates.
X - The relationship between 2011 and 2021 MSOA is irregular and fragmented. This has occurred where 2011 MSOA have been redesigned because of local authority district boundary changes, or to improve their social homogeneity. These can’t be easily mapped to equivalent 2021 MSOA like the regular splits (S) and merges (M), and therefore like for like comparisons of estimates for 2011 MSOA and 2021 MSOA are not possible.'
path: "boundaries/MSOA_(2011)_to_MSOA_(2021)_to_Local_Authority_District_(2022)_Lookup_for_England_and_Wales.gpkg"
source: Office for National Statistics
year: 2021
lookup_msoa_2021_region_ew:
description: Lookup between 2021 Middle Layer Super Output Areas (MSOA), built up areas (BUA), local authority districts (LAD) and regions (RGN) (best fit).
geography: MSOA
region: England & Wales
last accessed: 24/06/2024
link: https://geoportal.statistics.gov.uk/datasets/ons::msoa-2021-to-bua-to-lad-to-region-december-2022-best-fit-lookup-in-ew-v2/about
notes: "A best fit lookup file between Middle layer Super Output Areas (MSOA) as at December 2011 and MSOAs as at December 2021 in England and Wales. The lookup contains all the 2011 MSOAs (7,201) and these are point-in-polygon to the 2021 MSOA full extent boundaries (which contains 7,182 records, so 82 MSOAs are missing from the 2021 MSOAs)."
path: "boundaries/MSOA_(2021)_to_Built-up_Area_to_Local_Authority_District_to_Region_(December_2022)_Lookup_in_England_and_Wales_v2.csv"
source: Office for National Statistics
year: 2021
lookup_oa_2011_oa_2021_ew:
description: Lookup between 2011 Output Areas (OA11) and 2021 Output Areas (OA21).
geography: OA
region: England & Wales
last accessed: 28/08/2024
link: https://geoportal.statistics.gov.uk/datasets/ons::oa-2011-to-oa-2021-to-local-authority-district-2022-exact-fit-lookup-in-ew-v2/about
notes: "This is an exact-fit lookup file between Output Areas as at December 2011 and Output Areas as at December 2021 and Local Authority Districts as at December 2022 in England and Wales."
path: "boundaries/OA11_OA21_LAD22_EW_LU_Exact_fit_V2_7175137222568651779.csv"
source: Office for National Statistics
year: 2021
lookup_oa_2021_msoa_2021_ew:
description: Lookup between Output Areas (OA 2021) and Middle Layer Super Output Areas (MSOA 2021).
geography: OA, MSOA
region: England & Wales
last accessed: 28/08/2024
link: https://geoportal.statistics.gov.uk/datasets/ons::output-area-2021-to-lsoa-to-msoa-to-lad-december-2021-exact-fit-lookup-in-ew-v3/about
notes: "A lookup between Output Areas (OA), Lower layer Super Output Areas (LSOA), Middle layer Super Output Areas (LSOA) and Local Authority Districts (LAD) as at 31 December 2021 in England and Wales."
path: "boundaries/Output_Area_to_Lower_layer_Super_Output_Area_to_Middle_layer_Super_Output_Area_to_Local_Authority_District_(December_2021)_Lookup_in_England_and_Wales_v3.csv"
source: Office for National Statistics
year: 2021
census_households_oa_2021_ew:
description: TS041-oa - Number of Households (output areas).
geography: OA
region: England & Wales
last accessed: 07/08/2024
link: https://www.nomisweb.co.uk/output/census/2021/census2021-ts041.zip
notes: Number of Households (oa).
path: "census_2021/census2021-ts041-oa.csv"
source: Office for National Statistics
year: 2021
ruc_oa_ew:
description: Rural / Urban classification at Output Area (OA) level.
geography: OA
region: England & Wales
last accessed: 07/08/2024
link: https://geoportal.statistics.gov.uk/datasets/53360acabd1e4567bc4b8d35081b36ff/about
notes: "This file provides a rural-urban view of 2011 Output Areas (OA) in England and Wales."
path: "ruc/RUC11_OA11_EW.csv"
source: Office for National Statistics
year: 2021
geography_ntem:
description: NTEM zoning system.
geography: NTEM
region: GB
path: "..."
year: 2021
template_populationsim:
description: Template PopulationSim set up.
geography: MSOA
region: GB
path: "template_populationsim"
source: PopulationSim repo & Arup
year: 2021
nts_persons:
description: Individuals table from the National Travel Survey for the period 2002-2022.
geography: Region
region: England, Wales & Scotland
path: "nts/individual_eul_2002-2022.tab"
nts_households:
description: Households table from the National Travel Survey for
This is spatial data from the 2021 Canadian Census of Population for the Regional Municipality of Durham, originally published by Statistics Canada.This spatial data is of Census Tract (CT) geography, for the Durham census division (CD). The column "CTUID" can be used to identify specific CT's and to link census tables, such as total population and dwellings.
Active population over 15 years of age by socio-professional categories. This data is produced from the 2021 population census according to the geography in force on 1 January 2024. The population census makes it possible to know the diversity and evolution of the population of France. INSEE thus provides statistics on inhabitants and dwellings, their number and characteristics:breakdown by sex and age, occupations, housing conditions, modes of transport, commuting, etc. Age groups: * 02-05 years * 06-10 years * 11-14 years * 15-17 years * 18-24 years * 25-29 years * 30 years and over For more information on the variables, you can consult the definitions by clicking on this link For more methodological information, you can consult the fact sheets "Tips for the use of census results" by clicking on the link For more information on the use of the data, you can consult this document
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This layer contains information on technology access by Household. Data is from US Census American Community Survey (ACS) 5-year estimates.This layer represents the underlying data for several data visualizations on the Tempe Equity Map.Data visualized as a percent of total households in given census tract.Layer includes:Key demographicsTotal Households % Less than $20,000: With dial-up Internet subscription alone% Less than $20,000: With a broadband Internet subscription% Less than $20,000: Without an Internet subscription% $20,000 to $74,999: With dial-up Internet% $20,000 to $74,999: With a broadband Internet subscription% $20,000 to $74,999: Without an Internet subscription% $75,000 or more: With dial-up Internet subscription alone% $75,000 or more: With a broadband Internet subscription% $75,000 or more: Without an Internet subscriptionCurrent Vintage: 2017-2021ACS Table(s): S2801 (Not all lines of this ACS table are available in this feature layer.)Data downloaded from: Census Bureau's API for American Community Survey Date of Census update: Dec 8, 2022Data Preparation: Data table downloaded and joined with Census Tract boundaries that are within or adjacent to the City of Tempe boundaryNational Figures: data.census.gov
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
The highest level of qualification is derived from the question asking people to indicate all qualifications held, or their nearest equivalent. This may include foreign qualifications where they were matched to the closest UK equivalent.The types of qualification included in each level are:Level 1 and entry level qualifications: 1 to 4 GCSEs grade A* to C , Any GCSEs at other grades, O levels or CSEs (any grades), 1 AS level, NVQ level 1, Foundation GNVQ, Basic or Essential SkillsLevel 2 qualifications: 5 or more GCSEs (A* to C or 9 to 4), O levels (passes), CSEs (grade 1), School Certification, 1 A level, 2 to 3 AS levels, VCEs, Intermediate or Higher Diploma, Welsh Baccalaureate Intermediate Diploma, NVQ level 2, Intermediate GNVQ, City and Guilds Craft, BTEC First or General Diploma, RSA DiplomaLevel 3 qualifications: 2 or more A levels or VCEs, 4 or more AS levels, Higher School Certificate, Progression or Advanced Diploma, Welsh Baccalaureate Advance Diploma, NVQ level 3; Advanced GNVQ, City and Guilds Advanced Craft, ONC, OND, BTEC National, RSA Advanced DiplomaLevel 4 qualifications or above: degree (BA, BSc), higher degree (MA, PhD, PGCE), NVQ level 4 to 5, HNC, HND, RSA Higher Diploma, BTEC Higher level, professional qualifications (for example, teaching, nursing, accountancy)Other qualifications: vocational or work-related qualifications, other qualifications achieved in England or Wales, qualifications achieved outside England or Wales (equivalent not stated or unknown)Quality information: There are quality considerations about higher education qualifications, including those at Level 4+, responses from older people and international migrants, and comparability with 2011 Census data.CoverageThis dataset is focused on the data for Birmingham at Ward level. Also available at LSOA, MSOA and Constituency levels.About the 2021 CensusThe Census takes place every 10 years and gives us a picture of all the people and households in England and Wales.Protecting personal dataThe ONS sometimes need to make changes to data if it is possible to identify individuals. This is known as statistical disclosure control. In Census 2021, they:
Swapped records (targeted record swapping), for example, if a household was likely to be identified in datasets because it has unusual characteristics, they swapped the record with a similar one from a nearby small area. Very unusual households could be swapped with one in a nearby local authority. Added small changes to some counts (cell key perturbation), for example, we might change a count of four to a three or a five. This might make small differences between tables depending on how the data are broken down when they applied perturbation.For more geographies, aggregations or topics see the link in the Reference below. Or, to create a custom dataset with multiple variables use the ONS Create a custom dataset tool.Population valueThe value column represents All usual residents aged 16 years and over.The percentage shown is the value as a percentage of All usual residents aged 16 years and over within the given geography.
Degree level of the female population by age group This data is produced from the 2021 population census according to the geography in force on 1 January 2024. The population census makes it possible to know the diversity and evolution of the population of France. INSEE thus provides statistics on inhabitants and dwellings, their number and characteristics: breakdown by sex and age, occupations, housing conditions, modes of transport, commuting, etc. Age groups: * 15-19 years * 20-24 years * 25-29 years * 30-34 years * 35-39 years * 40-44 years * 45-49 years * 50-54 years * 55-59 years * 60-64 years * 65 years and over For more information on the variables, you can consult the definitions by clicking on this link For more methodological information, you can consult the fact sheets "Tips for the use of census results" by clicking on the link For more information on the use of the data, you can consult this document
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
Census 2021 data: 19 tick-box ethnic groups, by age, sex, and age and sex.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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Census 2021 estimates of usual residents aged 16 years and over in England and Wales by sexual orientation. Includes administrative and health geographies.
https://borealisdata.ca/api/datasets/:persistentId/versions/3.0/customlicense?persistentId=doi:10.5683/SP3/QMD19Qhttps://borealisdata.ca/api/datasets/:persistentId/versions/3.0/customlicense?persistentId=doi:10.5683/SP3/QMD19Q
The Postal Code Conversion File (PCCF) is a digital file which provides a correspondence between the Canada Post Corporation (CPC) six-character postal code and Statistics Canada's standard geographic areas for which census data and other statistics are produced. Through the link between postal codes and standard geographic areas, the PCCF permits the integration of data from various sources. The Single Link Indicator provides one best link for every postal code, as there are multiple records for many postal codes. To obtain the postal code conversion file or for questions, consult the DLI contact at your educational institution. The geographic coordinates attached to each postal code on the PCCF are commonly used to map the distribution of data for spatial analysis (e.g., clients, activities). The location information is a powerful tool for planning, or research purposes. The geographic coordinates, which represent the standard geostatistical areas linked to each postal codeOM on the PCCF, are commonly used to map the distribution of data for spatial analysis (e.g., clients, activities). The location information is a powerful tool for marketing, planning, or research purposes. In April 1983, the Statistical Registers and Geography Division released the first version of the PCCF, which linked postal codesOM to 1981 Census geographic areas and included geographic coordinates. Since then, the file has been updated on a regular basis to reflect changes. For this release of the PCCF, the vast majority of the postal codesOM are directly geocoded to 2016 Census geography while others are linked via various conversion processes. A quality indicator for the confidence of this linkage is available in the PCCF.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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This layer shows household income ranges for households, families, married couple families, and nonfamily households (as defined by the U.S. Census). Data is from US Census American Community Survey (ACS) 5-year estimates. This layer is symbolized to show median household income. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right (in ArcGIS Online). To view only the census tracts that are predominantly in Tempe, add the expression City is Tempe in the map filter settings.Layer includes:Total households (of various types including households, families, married couple families, and nonfamily households as defined by the U.S. Census)Household income bracketsHousehold median income in dollarsHousehold mean income in dollarsA ‘Null’ entry in the estimate indicates that data for this geographic area cannot be displayed because the number of sample cases is too small (per the U.S. Census).Current Vintage: 2017-2021ACS Table(s): S1901 (Not all lines of this ACS table are available in this feature layer.)Data downloaded from: Census Bureau's API for American Community Survey Data Preparation: Data table downloaded and joined with Census Tract boundaries that are within or adjacent to the City of Tempe boundaryDate of Census update: December 8, 2022National Figures: data.census.gov
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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The data sets in this repository allow users to link people among the U.S. decennial censuses, using the "histid" identifier. The census data sets users will need are indexed by Ancestry.com and are hosted by IPUMS at https://usa.ipums.org/usa-action/samples. Users will need to download the full-count census for each year and be sure to select the "histid" variable that is available under the Person/Historical Technical drop-down menu.As of 7/12/21, links are available between the 1900-1910, 1910-1920, and 1900-1920 censuses.A detailed account of how these links are created and a description of the data and its characteristics are available in the following article:Price, J., Buckles, K., Van Leeuwen, J., & Riley, I. (2021). Combining family history and machine learning to link historical records: The Census Tree data set. Explorations in Economic History, 80, 101391.https://www.sciencedirect.com/science/article/pii/S0014498321000024