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TwitterOpen Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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This dataset provides Census 2022 estimates for the Country of Birth by Individuals in Scotland.
Country of birth is the country in which a person was born. Users should be mindful of changes in EU members and accession states between 2011 and 2022. This will affect the number of countries which make up certain categories when comparing the results between censuses.
Details of classification can be found here
The quality assurance report can be found here
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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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This dataset provides Census 2022 estimates for the Main language by Individuals in Scotland.
Categorises individuals into groups based on their main language. The choices from the census question involves choices between "English" and "Other, please write in (including British Sign Language (BSL) and tactile BSL)".
Details of classification can be found here
The quality assurance report can be found 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 Special Licence access dataset contains names and addresses from the Integrated Census Microdata (I-CeM) dataset of the censuses of Great Britain for the period 1851 to 1911. These data are made available under Special Licence (SL) access conditions due to commercial sensitivity.
The anonymised main I-CeM database that complements these names and addresses is available under SN 7481. It comprises the Censuses of Great Britain for the period 1851-1911; data are available for England and Wales for 1851-1861 and 1881-1911 (1871 is not currently available for England and Wales) and for Scotland for 1851-1901 (1911 is not currently available for Scotland). The database contains over 180 million individual census records and was digitised and harmonised from the original census enumeration books. It details characteristics for all individuals resident in Great Britain at each of the included Censuses. The original digital data has been coded and standardised; the I-CeM database has consistent geography over time and standardised coding schemes for many census variables.
This dataset of names and addresses for individual census records is organised per country (England and Wales; Scotland) and per census year. Within each data file each census record contains first and last name, street address and an individual identification code (RecID) that allows linking with the corresponding anonymised I-CeM record. The data cannot be used for true linking of individual census records across census years for commercial genealogy purposes nor for any other commercial purposes. The SL arrangements are required to ensure that commercial sensitivity is protected. For information on making an application, see the Access section.
The data were updated in February 2020, with some files redeposited with longer field length limits. Users should note that some name and address fields are truncated due to the limits set by the LDS project that transcribed the original data. No more than 10,000 records out of some 210 million across the study should be affected. Examples include:
Further information about I-CeM can be found on the I-CeM Integrated Microdata Project and I-CeM Guide webpages.
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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 April 3, 1881 and persons who were working or travelling on the night April 3,1881 but returned home on April 4, 1881
Population and Housing Census [hh/popcen]
MICRODATA SOURCE: Registrar General
SAMPLE SIZE (person records): 3741017.
SAMPLE DESIGN: Not applicable
Face-to-face [f2f]
A single household form collected information on individual characteristics
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This dataset provides Census 2022 estimates for Tenure in the unit of occupied households in Scotland.
A classification of whether a household rents or owns the accommodation that it occupies. For rented households, this variable also includes information about the type of landlord who owns or manages the accommodation.
This variable is derived from two questions on the household form on household tenure and landlord.
Household question 12: Does your household own or rent this accommodation?
Household question 13: Who is your landlord? (Only asked of households who are renting)
Details of classification can be found here
The quality assurance report can be found here
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This service provides datasets relating to the 2011 Census published by the National Records of Scotland (NRS).
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TwitterThis dataset is published as Open Data.2022 Census Settlement:The 2022 Census Settlement boundaries have been created using the Census 2022 frozen Postcode boundaries.National Records of Scotland (NRS) create Settlement boundaries by categorising Postcodes as either high or low density. A Postcode was defined as high density if at least one of the following applied:It had more than 2.1 households per hectare.It had more than 0.1 non-residential addresses per hectare; orThe Census population per hectare exceeds five people.The threshold densities were set as they were found to give a good approximation to the built-up areas identified in previous Censuses using traditional methods. The second condition was included such that non-residential parts (e.g. industrial estates) of built-up areas could be identified and included.An additional rule was implemented from the 2016 (non-Census) version, which stated that any Postcodes which fell within the previous version Settlement boundary(based on centroid point in polygon assignment) would automatically be included in the new Settlement.The classified Postcodes were then grouped into areas of neighbouring high-density Postcodes, or ‘Settlements’. Areas of low-density Postcodes completely surrounded by the high-density areas (i.e. ‘holes’) were incorporated into the Settlement.Populations for each area were then calculated, and any settlement with fewer than 500 residents was discarded.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.
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TwitterThis service provides datasets relating to the 2011 Census published by the National Records of Scotland (NRS).
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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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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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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 2001 Census published by the National Records of Scotland (NRS).
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This service provides datasets relating to the 2011 Census published by the National Records of Scotland (NRS).
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Twitteroutput 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)
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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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TwitterThis 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.
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The Scotland Heat Map includes information on the percentage of households in each 2011 Data Zone that are renting their home from a council or a housing association (socially renting). Alongside other heat map datasets, this data is used to identify areas suitable for measures to reduce carbon emissions from heating homes and other buildings. For example, through the creation of heat networks. The 2011 Census provides the total number of households and the number of socially rented households in each 2011 Data Zone. Scotland's census is carried out by National Records of Scotland. Boundaries for Data Zones are created by the Scottish Government. Census data and Data Zone boundaries are updated approximately every 10 years. The Scotland Heat Map is a tool to help plan for the reduction of carbon emissions from heat in buildings. More information can be found in the documentation available on the Scottish Government website: https://www.gov.scot/publications/scotland-heat-map-documents/ The Scotland's Census website provides details on how the census is carried out and information on accessing publicly available census data, including geographical areas: https://www.scotlandscensus.gov.uk/
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This service provides datasets relating to the 1991 Census published by the National Records of Scotland (NRS).
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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 Country of Birth by Individuals in Scotland.
Country of birth is the country in which a person was born. Users should be mindful of changes in EU members and accession states between 2011 and 2022. This will affect the number of countries which make up certain categories when comparing the results between censuses.
Details of classification can be found here
The quality assurance report can be found here