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TwitterCensus 2021 was the first census with a digital-first design, encouraging participants to respond online rather than on a paper questionnaire. Support was given to people who could not respond online, including paper questionnaires, telephone contact centres, field force support, and an extended collection period.
Topics covered in the 2021 UK Census included:
The Scotland's Census 2022: Safeguarded Individual Microdata Sample at Regional Level dataset consists of a random sample of 5% of person records from the 2022 Census. It includes records for 274,067 persons. These data cover Scotland only. The lowest level of geography is country (Scotland). The dataset contains 80 variables and a low level of detail. Further information can be found on the Scotland's Census website.
Census Microdata
Microdata are small samples of individual records from a single census from which identifying information have been removed. They contain a range of individual and household characteristics and can be used to carry out analysis not possible from standard census outputs, such as:
The microdata samples are designed to protect the confidentiality of individuals and households. This is done by applying access controls and removing information that might directly identify a person, such as names, addresses and date of birth. Record swapping is applied to the census data used to create the microdata samples. This is a statistical disclosure control (SDC) method, which makes very small changes to the data to prevent the identification of individuals. The microdata samples use further SDC methods, such as collapsing variables and restricting detail. The samples also include records that have been edited to prevent inconsistent data and contain imputed persons, households, and data values. To protect confidentiality, imputation flags are not included in any 2022 Census microdata sample.
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TwitterOpen Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
This dataset provides Census 2022 estimates for the National identity (in 8 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 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
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TwitterOpen Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
This dataset provides Census 2022 estimates for Year of arrival in UK (in 13 categories) by sex by age (in 20 categories) 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
The year of arrival in the UK is derived from the date that a person last arrived to live in the UK. Short visits away from the UK are not counted in determining the date that a person last arrived. This is based on the responses to the question "If you were not born in the United Kingdom, when did you most recently arrive to live here?"
The reason for asking for information on the date of arrival in the UK is to identify patterns in recent international migration, the characteristics of those who have migrated, and to identify areas with transient populations. It enables analysis on the impact of length of residence on social and economic characteristics and is used in a range of equality-related policy development and research.
Details of classification can be found here
The quality assurance report can be found here
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TwitterAttribution 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, GA was for the group of age 5-9 years with a population of 80 (16.74%), according to the 2021 American Community Survey. At the same time, the smallest age group in Scotland, GA was the 80-84 years with a population of 0 (0.00%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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
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TwitterThis service provides datasets relating to the 2022 Census published by the National Records of Scotland (NRS).
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TwitterThis dataset is published as Open Data. Scotland's Census 2022 - All People Single Year Ages and Age Groups. 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.
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TwitterThis project aimed to extend knowledge of late nineteenth century Scottish, and hence British, demography, by producing four parallel longitudinal data sets by linking individuals in the decennial censuses of 1861-1901 with the births, deaths and marriages from civil registers for the lowland town of Kilmarnock, the Hebridean Island of Skye, and the rural parishes of Torthorwald and Rothiemay, places with contrasting economic and social structures and physical environments. The resulting data source is rich in information relating to the social, occupational, household, and demographic characteristics of individuals, who can also be situated within their physical environment. The relatively large scale of the data-sets allows greater accuracy and detail in the multivariate analysis of mortality, fertility, nuptiality and migration. Special permission was granted by the General Register Office, Edinburgh, for access to the civil registers of births, marriages and deaths, and these have been linked to the census entries for the same individuals, allowing the creation of full or partial life histories. Linkage has been carried out using a sets of related individuals approach in a relational data-base system using computer algorithms and hand-finishing (see Reid, Davies and Garrett (2006) ''Nineteenth century Scottish demography from linked censuses and civil registers: a sets of related individuals approach'', History and Computing, 14(1+2), 2002 (publ. 2006), pp. 61-86).The terms of our agreement with the General Register Office for Scotland do not allow us to deposit the births, marriages and deaths for archiving, which prevents deposit of the linked material. However we can deposit the census material annotated to include the years of birth, death and marriage of an individual (but no other details of these events). Two separate census deposits are being made. This is a version of the raw data, with no standardisation or enhancement apart from corrections or changes to ensure consistency, notes made by data entry personnel, and household and individual identifiers.Main Topics:The data consist of transcriptions of the census enumerators'' books for Skye, Kilmarnock, Rothiemay and Torthorwald, for the years 1861, 1871, 1881, 1891 and 1901. The following information on all individuals within all households on census night is provided: address (three fields); forename(s), surname(s); relationship to head of household; marital status; age; sex; occupation; other occupational information such as employment status, where available; county or birth, parish of birth; language; and number of rooms in the household. The data collection also contains details of where each individual appears in the census returns by giving the name of the registration district, the number of the enumeration district, the schedule number as indicated on the census enumerators'' books, and household and person identification codes created by the project. Some variables are not available for all years or places: see project documentation for more details.Copyright:1881 Census Records for Kilmarnock, Rothimay, and Torthorwald material: Copyright Genealogical Society of Utah and the University of Essex. All other Records: Copyright Alice Reid, Eilidh Garrett, Ros Davies and Andrew Blaikie, Cambridge Group for the History of Population and Social Structure, Department of Geography, Cambridge University
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TwitterOpen Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
This dataset provides Census 2022 estimates for Year of arrival in UK in Scotland.
The year of arrival in the UK is derived from the date that a person last arrived to live in the UK. Short visits away from the UK are not counted in determining the date that a person last arrived. This is based on the responses to the question "If you were not born in the United Kingdom, when did you most recently arrive to live here?"
The reason for asking for information on the date of arrival in the UK is to identify patterns in recent international migration, the characteristics of those who have migrated, and to identify areas with transient populations. It enables analysis on the impact of length of residence on social and economic characteristics and is used in a range of equality-related policy development and research.
Details of classification can be found here
The quality assurance report can be found here
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TwitterPersons, households, and dwellings Scotland only
UNITS IDENTIFIED: - Dwellings: yes - Vacant Units: No - Households: yes - Individuals: yes - Group quarters: yes
UNIT DESCRIPTIONS: - Dwellings: no - Households: A group of people who eat at the same table or in the same house, including lodgers and servants - Group quarters: Yes
All persons who slept in a dwelling in the country on the night of March 31, 1901 and persons who were working or travelling on the night March 31, 1901 but returned home on April 1, 1901
Population and Housing Census [hh/popcen]
MICRODATA SOURCE: Registrar General
SAMPLE SIZE (person records): 4438418.
SAMPLE DESIGN: Not applicable
Face-to-face [f2f]
A single household form collected information on individual characteristics
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TwitterOfficial statistics are produced impartially and free from any political influence.
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TwitterThis service provides datasets relating to the 2001 Census published by the National Records of Scotland (NRS).
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TwitterThis dataset comprises of data taken from the 2011 UK census. The dataset consists of 2 elements: a csv in LONG format for ease of filtering data and/or to create other agegroups and a shapefile with the males/females_over65 data in it. The numbers were taken from the census that was conducted at 2011. The absolute numbers may have been modified since then, so they were normalised by the total population of that zone.
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TwitterAbstract copyright UK Data Service and data collection copyright owner.
The Great Britain Historical Database has been assembled as part of the ongoing Great Britain Historical GIS Project. The project aims to trace the emergence of the north-south divide in Britain and to provide a synoptic view of the human geography of Britain at sub-county scales. Further information about the project is available on A Vision of Britain webpages, where users can browse the database's documentation system online.
These data were originally collected by the Censuses of Population for England and Wales, and for Scotland. They were computerised by the Great Britain Historical GIS Project and its collaborators. They form part of the Great Britain Historical Database, which contains a wide range of geographically-located statistics, selected to trace the emergence of the north-south divide in Britain and to provide a synoptic view of the human geography of Britain, generally at sub-county scales.
The census gathered data on levels of educational attainment only from 1951. In 1951 and 1961, attainment was measured simply by the age at which a person's education was completed, rather than by the level of qualifications achieved. These data cover, broadly, the adult population, including many people who had completed their education decades before the relevant census, so the data are indicative of the general level of education of the workforce at the census date, but are a problematic guide to the performance of the education system at that date. The census reports also include cross-tabulations of age of education completion with current age, but not with the level of geographical detail of the transcribed tables.
The 1951 data for England and Wales were computerised by Danny Dorling (now of Oxford University), as part of research funded by the Joseph
Rowntree Foundation.
Latest edition information:
For the 2nd edition (June 2021), data for Scotland for 1951 and data for England & Wales and Scotland for 1961 have been added to the study.
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TwitterOfficial statistics are produced impartially and free from political influence.
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Twitterscotland's census 2022 - all people ages by single year and age groups: This table can be used to join to the published Output Area Geographies, creating either their geographies or additional table datasets.
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TwitterOpen Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
This dataset provides Census 2022 estimates for the Age (in 20 categories) by sex 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.
The quality assurance report can be found here
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TwitterAttribution 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, SD was for the group of age 85 years and over years with a population of 66 (8.25%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Scotland, SD was the 80 to 84 years years with a population of 16 (2%). 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
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TwitterThis service provides datasets relating to the 2001 Census published by the National Records of Scotland (NRS).
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TwitterAbstract 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.
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TwitterAttribution 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 50-54 years with a population of 889 (9.81%), according to the 2021 American Community Survey. At the same time, the smallest age group in New Scotland, New York was the 85+ years with a population of 166 (1.83%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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
Facebook
TwitterCensus 2021 was the first census with a digital-first design, encouraging participants to respond online rather than on a paper questionnaire. Support was given to people who could not respond online, including paper questionnaires, telephone contact centres, field force support, and an extended collection period.
Topics covered in the 2021 UK Census included:
The Scotland's Census 2022: Safeguarded Individual Microdata Sample at Regional Level dataset consists of a random sample of 5% of person records from the 2022 Census. It includes records for 274,067 persons. These data cover Scotland only. The lowest level of geography is country (Scotland). The dataset contains 80 variables and a low level of detail. Further information can be found on the Scotland's Census website.
Census Microdata
Microdata are small samples of individual records from a single census from which identifying information have been removed. They contain a range of individual and household characteristics and can be used to carry out analysis not possible from standard census outputs, such as:
The microdata samples are designed to protect the confidentiality of individuals and households. This is done by applying access controls and removing information that might directly identify a person, such as names, addresses and date of birth. Record swapping is applied to the census data used to create the microdata samples. This is a statistical disclosure control (SDC) method, which makes very small changes to the data to prevent the identification of individuals. The microdata samples use further SDC methods, such as collapsing variables and restricting detail. The samples also include records that have been edited to prevent inconsistent data and contain imputed persons, households, and data values. To protect confidentiality, imputation flags are not included in any 2022 Census microdata sample.