http://reference.data.gov.uk/id/open-government-licencehttp://reference.data.gov.uk/id/open-government-licence
This dataset provides Census 2022 estimates for the Religion by Individuals in Scotland.
This is a person’s current religious denomination or body that they belong to, or if the person does not have a religion, ‘No Religion’. No determination is made about whether a person was a practising member of a religion.
Religion is a voluntary question and 6.2% of the population did not provide a response. Please be aware that when we state percentages these are out of the whole population, not just those that provided a response. Our approach to imputation is also different for voluntary questions. Not stating a religion is considered to be a valid response, so we do not impute a religion for those who responded to the census but did not answer the religion question. However, we do impute religion for those who did not respond at all to the census. 'Not stated’ is one of the values that can be imputed for religion. More information on our edit and imputation method is available on the Scotland’s Census website.
Classification and comparison with 2011 census can be found here
The quality assurance report can be found here
http://reference.data.gov.uk/id/open-government-licencehttp://reference.data.gov.uk/id/open-government-licence
This dataset provides Census 2022 estimates for the Gaelic language skills (in 7 categories) by age (in 6 categories) by Individuals in Scotland.
A person's age on Census Day, 20 March 2022. Infants aged under 1 year are classified as 0 years of age.
A classification of a persons skills in the Gaelic Language
Details of classification can be found here
The quality assurance report can be found here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Scotland population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Scotland. The dataset can be utilized to understand the population distribution of Scotland by age. For example, using this dataset, we can identify the largest age group in Scotland.
Key observations
The largest age group in Scotland, TX was for the group of age 5 to 9 years years with a population of 103 (16.97%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Scotland, TX was the 40 to 44 years years with a population of 4 (0.66%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
Age groups:
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 Scotland Population by Age. You can refer the same here
http://reference.data.gov.uk/id/open-government-licencehttp://reference.data.gov.uk/id/open-government-licence
This dataset provides Census 2022 estimates for the Scots language skills (in 7 categories) by sex by age (in 20 categories) by Individuals in Scotland.
A person's age on Census Day, 20 March 2022. Infants aged under 1 year are classified as 0 years of age.
This is the sex recorded by the person completing the census. The options were "Female" and "Male". Guidance on answering the question can be found here
A classification of a persons skills in the Scots Language (Scottish Gaelic or Scots). It breaks down into combinations of "Understand (spoken)", "Speak", "Read" and "Write".
Details of classification can be found here
The quality assurance report can be found here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This data is sourced from the Census 2011 and shows the population and population density by council area. Raw data sourced from http://www.scotlandscensus.gov.uk/en/censusresults/downloadablefiles.html and then manipulated in excel to merge a number of tables. The resulting data was joined to a shapefile of Scottish Council areas from sharegeo (http://www.sharegeo.ac.uk/handle/10672/305). Both sources should be attributed as the sources of the base data. GIS vector data. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2012-12-19 and migrated to Edinburgh DataShare on 2017-02-21.
This dataset is published as Open Data. Scotland's Census 2022 - Ethnic Groupings. This table can be used to join to the published Output Area Geographies, creating either their geographies or additional table datasets.The boundaries are available at Extent of the Realm and clipped to the Mean High Water (MHW) Mark with inland water removed.Description: Output Areas created by aggregating frozen postcodes.Output Code: A code that identifies a Census 2022 Output Area (OA).Households: 2022 Census occupied household count at OA level. Cell Key Perturbation has been applied to Scotland’s Census 2022 outputs. This means that small adjustments are made automatically to cells in tables, including the Postcode to Output Area lookup. This is part of our Statistical Disclosure Control methodology, you can read more on the Scotland’s Census website.Population: 2022 Census household population count at OA level. Cell Key Perturbation has been applied to Scotland’s Census 2022 outputs. This means that small adjustments are made automatically to cells in tables, including the Postcode to Output Area lookup. This is part of our Statistical Disclosure Control methodology, you can read more on the Scotland’s Census website.Local Authority Code: A code that identifies a 2019 Council Area.Master Postcode: Postcode assigned as the Master Postcode for Output Area.
https://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/noLimitationshttps://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/noLimitations
This service provides datasets relating to the 1991 Census published by the National Records of Scotland (NRS).
In 2023, there were approximately 631,970 people living in Glasgow, with a further 523,250 people living in the Scottish capital, Edinburgh, the first and second most-populated Scottish council areas respectively. The region of Fife is also heavily populated, with approximately 373,210 people living there. The least populated areas are the islands of Scotland such as Orkney, estimated to have only 22,000 people there.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Scotland population by age. The dataset can be utilized to understand the age distribution and demographics of Scotland.
The dataset constitues the following three datasets
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/.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Scotland population by gender and age. The dataset can be utilized to understand the gender distribution and demographics of Scotland.
The dataset constitues the following two datasets across these two themes
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/.
Abstract copyright UK Data Service and data collection copyright owner.
The UK censuses took place on 27 March 2011. They were run by the Northern Ireland Statistics & Research Agency (NISRA), National Records of Scotland (NRS), and the Office for National Statistics (ONS) for both England and Wales. The UK comprises the countries of England, Wales, Scotland and Northern Ireland.
Statistics from the UK censuses help paint a picture of the nation and how we live. They provide a detailed snapshot of the population and its characteristics and underpin funding allocation to provide public services. This is the home for all UK census data.
http://reference.data.gov.uk/id/open-government-licencehttp://reference.data.gov.uk/id/open-government-licence
This dataset provides Census 2022 estimates for the National identity by Individuals in Scotland.
A classification of a person's national identity.
National identity is a feeling of attachment to a nation. This does not need to be the same as ethnic group or legal nationality (citizenship). For example, this could be about the country or countries where a person feels they belong or they think of as home.
Details of classification can be found here
The quality assurance report can be found here
output area centroids scotland's census 2022 - open dataThis dataset shows the 2022 Census Output Areas (OAs). OAs are the smallest geographical unit for which Census data is released, and as a result, they act as the basic “building-blocks” for the creation of other statistical geographies, e.g. Data Zones. The OAs are constructed by aggregating together a small number of Postcodes. Because the OAs cover small areas and contain relatively small numbers of households and population (households in the range 25 to 89; population >= 60), there is only a limited amount of Census data that can be released without infringing confidentiality.An important requirement during the creation of the 2022 OAs was to attempt to keep the boundaries the same, or similar, as the 2011 OAs – this would make it easier to compare over the time periodSchema;Local Authority CodeLocal AuthorityOutput Area CodeMaster PostcodeEasting (X)Northing (Y)
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the New Scotland town population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for New Scotland town. The dataset can be utilized to understand the population distribution of New Scotland town by age. For example, using this dataset, we can identify the largest age group in New Scotland town.
Key observations
The largest age group in New Scotland, New York was for the group of age 50 to 54 years years with a population of 877 (9.65%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in New Scotland, New York was the 85 years and over years with a population of 192 (2.11%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
Age groups:
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 New Scotland town Population by Age. You can refer the same here
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
This service provides datasets relating to the 2001 Census published by the National Records of Scotland (NRS).
There were approximately 406,756 people aged between 55 and 59 in Scotland in 2023, the most of any age group in that year. By contrast, there were just 45,547 people who were aged over 90 in this year, the fewest of the provided age groups.
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Population Estimate, Total, Not Hispanic or Latino, Two or More Races, Two Races Excluding Some Other Race, and Three or More Races (5-year estimate) in Scotland County, MO (B03002011E029199) from 2009 to 2023 about Scotland County, MO; MO; non-hispanic; estimate; persons; 5-year; population; and USA.
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Population Estimate, Total, Hispanic or Latino (5-year estimate) in Scotland County, MO (B03002012E029199) from 2009 to 2023 about Scotland County, MO; MO; latino; hispanic; estimate; persons; 5-year; population; and USA.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
U.S. Census Bureau QuickFacts statistics for Scotland County, North Carolina. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.
This dataset is published as Open Data2022 Census LocalityThe Census Locality boundaries have been created using the Census 2022 frozen Postcode boundaries.National Records of Scotland (NRS) create Locality boundaries by first creating the Settlements geography, and then assigning any Postcode located within a Settlement to a Locality based on a point-in-polygon (PIP) process with the previous version of the Locality boundary. Postcodes that fall within a Settlement boundary that are unassigned after the PIP are manually examined and assigned to a Locality.2022 Census Settlement and Locality CentroidsEach population weighted centroid was calculated using a median centroid algorithm, the result of which is less influenced by outliers than the result of an algorithm to calculate the mean centroid. The process for creating Census 2022 Settlements centroids was automated usingESRI ArcGIS, but the general method is as follows. The median easting and northing coordinate pair for all Census 2022 frozenPostcodes within the Settlement is calculated, giving a notional centroid of the Settlement. The distance from each of the Postcode centroids to the notional (or median) centroid is calculated using Pythagoras' Theorem. The Postcode coordinate pair with the shortest distance to the median was then chosen to represent the centroid of the Settlement/Locality.
http://reference.data.gov.uk/id/open-government-licencehttp://reference.data.gov.uk/id/open-government-licence
This dataset provides Census 2022 estimates for the Religion by Individuals in Scotland.
This is a person’s current religious denomination or body that they belong to, or if the person does not have a religion, ‘No Religion’. No determination is made about whether a person was a practising member of a religion.
Religion is a voluntary question and 6.2% of the population did not provide a response. Please be aware that when we state percentages these are out of the whole population, not just those that provided a response. Our approach to imputation is also different for voluntary questions. Not stating a religion is considered to be a valid response, so we do not impute a religion for those who responded to the census but did not answer the religion question. However, we do impute religion for those who did not respond at all to the census. 'Not stated’ is one of the values that can be imputed for religion. More information on our edit and imputation method is available on the Scotland’s Census website.
Classification and comparison with 2011 census can be found here
The quality assurance report can be found here