Official statistics are produced impartially and free from political influence.
Open 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 Tenure in the unit of people in 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
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, 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
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
Archive of 1981 census aggregate data for England, Wales and Scotland, as made available originally on the Casweb (https://casweb.ukdataservice.ac.uk) platform.
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/.
Data presented here is an extract of data taken from the Annual School Meal Census in publicly funded schools in Scotland. The data shows the provision of school meals (including free school meals) for each school in the Glasgow local authority area. The dataset forms part of a time series and is available for the years 2003 through to 2014. Full datasets can be downloaded from The Scottish Government. The data is graduated to school level and data includes: the numbers on the school roll; counts of pupils entitled to free school meals; counts of pupils present on the day of the survey, counts of pupils taking a school meal (free or not) on the day of the survey; and counts of pupils taking a free school meal on the day of the survey. In order to protect the identity of pupils a * used in the dataset denotes the number of pupils is 4 or less (zero included) or where such a figure could be worked out. A * * used in the dataset denotes where the difference between the number of pupils on the register and pupils with FME is 4 or less. Some of the datasets also include information on breakfast clubs, the provision of fresh fruit and water and the anonymity of the free school meal application process. The School Meal Census is carried out annually. For individual dataset errata or qualifications users should consult the background data or notes of the individual datasets. Licence: None fsm2003-2014.zip - https://dataservices.open.glasgow.gov.uk/Download/Organisation/728522f0-86da-48c6-8f75-1649934eb8a4/Dataset/7a0f701f-b55f-463f-a748-d62d6adf9979/File/51a57ba3-cf7b-4738-90ff-81d48dac9820/Version/7e43a6c6-cff0-4be2-b6e4-cd2e9c2707a5
Open 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 Household tenure by age of Household Reference Person in Scotland.
A person’s age on Census day (20 March 2022) calculated from their date of birth. Infants less than one year old are classed as being 0 years of age.
The concept of a Household Reference Person (HRP) was introduced in the 2001 Census (in common with other government surveys in 2001/2) to replace the traditional concept of the 'head of the household'. HRPs provide an individual person within a household to act as a reference point for producing further derived statistics and for characterising a whole household according to characteristics of the chosen reference person.
For a person living alone, it follows that this person is the HRP.
If a household contains only one family (with or without ungrouped individuals) then the HRP is the same as the Family Reference Person (FRP).
The Family Reference Person (FRP) is identified by criteria based on the family make up:
In a lone parent family it is taken to be the lone parent.
In a couple family, the FRP is chosen from the two people in the couple on the basis of their economic activity (in the priority order: full-time job, part-time job, unemployed, retired, other). If both people have the same economic activity, the FRP is identified as the elder of the two or, if they are the same age, the first member of the couple on the form.
If there is more than one family in a household the HRP is chosen from among the FRPs using the same criteria used to choose the FRP. This means the HRP will be selected from the FRPs on the basis of their economic activity, in the priority order:
If some or all FRPs have the same economic activity, the HRP is the eldest of the FRPs. If some or all are the same age, the HRP is the first of the FRPs from the order in which they were listed on the questionnaire.
For families in which there is generational divide between family members that cannot be determined (Other related family), there is no FRP. Members of these families are treated the same as ungrouped individuals.
If a household is made up entirely of any combination of ungrouped individuals and other related families, the HRP is chosen from among all people in the household, using the same criteria used to choose between FRPs. Students at their non term-time address cannot be the HRP.
Details of classification can be found here
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
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/.
The second Scottish Church Census was carried out on May 11-12, 2002. Comparable studies have been conducted in Scotland in 1984 and 1994 and in England in 1979, 1989, 1998 and 2005. All were organized and led by Dr Peter Brierley, executive director of the organization Christian Research prior to his retirement in 2007.
The aim of the study was to ascertain the number and frequency of people attending church of all denominations in Scotland in 2002. Several denominational changes had taken place in Scotland since the last census in 1994 ("https://beta.ukdataservice.ac.uk/datacatalogue/studies/study?id=4395#!/details" Target="_blank">SN 4395) and 1984 ("https://beta.ukdataservice.ac.uk/datacatalogue/studies/study?id=2554" Target="_blank">SN 2554). Political changes, with the formation of the Scottish Parliament, had brought about boundary changes for many councils, by which church attendance was previously analyzed. A combination of denomination, political and population changes had necessitated a revision of church attendance. In particular the study was to evaluate if the age structure of churchgoers had altered over the past decade and to establish if the trend in decline in the number of young people attending Sunday worship in England was true of Scotland.
https://www.ons.gov.uk/methodology/geography/licenceshttps://www.ons.gov.uk/methodology/geography/licences
This file contains the National Statistics Postcode Lookup (NSPL) for the United Kingdom as at August 2022 in Comma Separated Variable (CSV) and ASCII text (TXT) formats. To download the zip file click the Download button. The NSPL relates both current and terminated postcodes to a range of current statutory geographies via ‘best-fit’ allocation from the 2021 Census Output Areas (national parks and Workplace Zones are exempt from ‘best-fit’ and use ‘exact-fit’ allocations) for England and Wales. Scotland and Northern Ireland has the 2011 Census Output AreasIt supports the production of area based statistics from postcoded data. The NSPL is produced by ONS Geography, who provide geographic support to the Office for National Statistics (ONS) and geographic services used by other organisations. The NSPL is issued quarterly. (File size - 184 MB).
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
National and subnational mid-year population estimates for the UK and its constituent countries by administrative area, age and sex (including components of population change, median age and population density).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of New Scotland town by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of New Scotland town across both sexes and to determine which sex constitutes the majority.
Key observations
There is a slight majority of female population, with 51.04% of total population being female. Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.
Scope of gender :
Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.
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 Race & Ethnicity. You can refer the same 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 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
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the population of Scotland County by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Scotland County. The dataset can be utilized to understand the population distribution of Scotland County by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Scotland County. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Scotland County.
Key observations
Largest age group (population): Male # 15-19 years (1,338) | Female # 0-4 years (1,159). 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:
Scope of gender :
Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.
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 County Population by Gender. You can refer the same here
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
Super Output Areas are a geographic hierarchy designed to improve the reporting of small-area statistics.
The Lower Super Output Areas and Data Zones list contains 42,619 areas of the following constituent geographies:
Please visit ONS Beginner's Guide to UK Geography for more info.
The boundaries are available as either extent of the realm (usually this is the Mean Low Water mark but in some cases boundaries extend beyond this to include off shore islands) or
clipped to the coastline (Mean High Water mark).
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 Neck population by gender and age. The dataset can be utilized to understand the gender distribution and demographics of Scotland Neck.
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/.
Attribution 2.5 (CC BY 2.5)https://creativecommons.org/licenses/by/2.5/
License information was derived automatically
The 1991 Census Expanded Community Profiles present 44 tables comprising more detailed information than that of the basic community profiles which provide characteristics of persons and/or dwellings for Local Government Areas (LGA) in Australia.
This table contains data relating to birthplace of father by birthplace of mother. Counts are of all australian born persons, based on place of enumeration on census night which; includes overseas visitors; excludes Australians overseas; and excludes adjustment for under-enumeration. The data is by LGA 1991 boundaries. Periodicity: 5-Yearly.
This data is ABS data (cat. no. 2101.0 & original geographic boundary cat. no. 1261.0.30.001) used with permission from the Australian Bureau of Statistics. The tabular data was processed and supplied to AURIN by the Australian Data Archives. The cleaned, high resolution 1991 geographic boundaries are available from data.gov.au.
For more information please refer to the 1991 Census Dictionary.
Please note:
(a) Comprises England, Scotland, Wales, Northern Ireland, Ireland, South Africa, Canada, USA and New Zealand.
(b) Includes 'inadequately described', 'at sea' and 'not elsewhere classified'.
(c) Includes England, Scotland, Wales and Northern Ireland.
(d) Includes the Baltic States
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 Neck 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 Neck. The dataset can be utilized to understand the population distribution of Scotland Neck by age. For example, using this dataset, we can identify the largest age group in Scotland Neck.
Key observations
The largest age group in Scotland Neck, NC was for the group of age 60 to 64 years years with a population of 249 (11.93%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Scotland Neck, NC was the 30 to 34 years years with a population of 27 (1.29%). 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 Neck Population by Age. You can refer the same here
Doorda's UK Geodemographic Data provides a comprehensive database of over 2.2 million Postcodes, linked to 230 thousand Output Areas sourced from 173 data sources, offering unparalleled insights for location intelligence and modelling purposes.
Volume and stats: - 2.2M Postcodes locations - 230K Comparable output areas linked to postcodes - Consolidated UK census from England & Wales, Scotland and Northern Ireland
Our Geodemographic Data offers a multitude of use cases: - Market Analysis - Competitor Analysis - Targeted Marketing - Customer Segmentation - Location Planning
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Covering a wide range of industries and sectors, our data empowers organisations to make informed decisions, uncover market trends, and gain a competitive edge in the UK market.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Scotland town: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
Income brackets:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Scotland town median household income by age. You can refer the same here
Official statistics are produced impartially and free from political influence.