Official statistics are produced impartially and free from political influence.
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
Archive of 1971 census aggregate data for England, Wales and Scotland, as made available originally on the Casweb (https://casweb.ukdataservice.ac.uk) platform.
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 February 2024 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, Wales and Northern Ireland. Scotland has the 2011 Census Output Areas
It 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 - 176 MB).Updated 26/02/2024 to remove the BUASD11 field included in error.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
This dataset provides Census 2021 estimates that classify households with usual residents in England and Wales by various household characteristics, including variations in tenure by household size, household family composition, multi-generational households, and household level information on the age, ethnic group, religion, employment status and occupation of household members. The estimates are as at Census Day, 21 March 2021.
These datasets are part of Household characteristics by tenure, England and Wales: Census 2021, a release of results from the 2021 Census for England and Wales. Figures may differ slightly in future releases because of the impact of removing rounding and applying further statistical processes.
Total counts for some household groups may not match between published tables. This is to protect the confidentiality of households' data. Household counts have been rounded to the nearest 5 and any counts below 10 were suppressed; this is signified by a 'c' in the data tables.
This dataset uses middle layer super output area (MSOA) and lower layer super output area (LSOA) geography boundaries as of 2021 and local authority district geography boundaries as of 2022.
In this dataset, the number of households in an area is broken down by different variables and categories. If you were to sum the counts of households by each variable and category, it may not sum to the total of households in that area. This is because of rounding, suppression and that some tables only include data for certain household groups.
In this dataset, variables may have different categories for different geography levels. When variables are broken down by more categories, they may not sum to the total of the higher level categories due to rounding and suppression.
Social rent is not separated into “housing association, housing co-operative, charitable trust, registered social landlord” and “council or local authority districts” because of respondent error in identifying the type of landlord. This is particularly clear in results for areas which have no local authority districts housing stock, but there are households responding as having a “council or local authority districts” landlord type. Estimates are likely to be accurate when the social rent category is combined.
The Census Quality and Methodology Information report contains important information on:
Quality notes can be found here
Housing quality information for Census 2021 can be found here
Household
A household is defined as one person living alone, or a group of people (not necessarily related) living at the same address who share cooking facilities and a living room, sitting room or dining area. This includes all sheltered accommodation units in an establishment (irrespective of whether there are other communal facilities) and all people living in caravans on any type of site that is their usual residence; this will include anyone who has no other usual residence elsewhere in the UK. A household must contain at least one person whose place of usual residence is at the address. A group of short-term residents living together is not classified as a household, and neither is a group of people at an address where only visitors are staying.
Usual resident
For Census 2021, a usual resident of the UK is anyone who, on Census Day, was in the UK and had stayed or intended to stay in the UK for a period of 12 months or more, or had a permanent UK address and was outside the UK and intended to be outside the UK for less than 12 months.
Household reference person (HRP)
A person who serves as a reference point, mainly based on economic activity and age, to characterize a whole household. The person is not necessarily the member of the household in whose name the accommodation is owned or rented.
Tenure
Whether a household owns or rents the accommodation that it occupies. Owner-occupied accommodation can be: owned outright, which is where the household owns all of the accommodation; owned with a mortgage or loan; or part owned on a shared ownership scheme. Rented accommodation can be private rented, for example, rented through a private landlord or letting agent; social rented through a local council or housing association; or lived in rent free, which is where the household does not own the accommodation and does not pay rent to live there, for example living in a relative or friend’s property or live-in carers or nannies. This information is not available for household spaces with no usual residents.
_Household size _
The number of usual residents in the household.
Household family composition
Households according to the relationships between members. Single-family households are classified by the number of dependent children and family type (married, civil partnership or cohabiting couple family, or lone parent family). Other households are classified by the number of people, the number of dependent children and whether the household consists only of students or only of people aged 66 years and over.
Multi-generational households
Households where people from across more than two generations of the same family live together. This includes households with grandparents and grandchildren whether or not the intervening generation also live in the household.
_Household combination of resident age _
Classifies households by the ages of household members on 21 March 2021. Households could be made up of residents aged 15 years and under; residents aged 16 to 64 years; residents aged 65 years and over; or a combination of these.
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. Respondents could choose one out of 19 tick-box response categories, including write-in response options. For more information, see ONS's Ethnic group, England and Wales: Census 2021 bulletin
Household combination of resident ethnic group
Classifies households by the ethnic groups household members identified with.
Religion
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 includes people who identified with one of 8 tick-box response options, including 'No religion', alongside those who chose not to answer this question. For more information, see ONS's Religion, England and Wales: Census 2021 bulletin
Household combination of resident religion
Classifies households by the religious affiliation of household members who chose to answer the religion question. The classifications may include residents who did not answer the religion question.
Household combination of resident employment status
Classifies households by the employment status of household members aged 16 years and over between 15 and 21 March 2021. Households could be made up of employed residents (employee or self-employed); unemployed residents (looking for work and could start within two weeks, or waiting to start a job that had been offered and accepted); economically inactive residents (unemployed and had not looked for work between 22 February to 21 March 2021, or could not start work within two weeks); or a combination of these.
Occupation
"Classifies what people aged 16 years and over do as their main job. Their job title or details of activities they do in their job and any supervisory or management responsibilities form this classification. This information is used to code responses to an occupation using the Standard Occupational Classification (SOC) 2020. It classifies people who were in employment between 15 March and 21 March 2021, by the SOC code that represents their current occupation. The lowest level of detail available is the four-digit SOC code which includes all codes in three, two and one digit SOC code levels. Occupation classifications include :
Official statistics are produced impartially and free from political influence.
The aim of Free Census is to transcribe all the UK 19th century census returns. It is part of Free UKGEN and is a sister project to FreeBMD and Free REG. The intention is that all three of the UK primary sources for the family historian will be online and “free to view.”
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
Census health state prevalence rates interpolated between 2011 and 2021 used in the estimation of healthy life expectancy.
FreeCEN was started early in 2000 with a pilot project for the 1891 census returns for Devon. The aim of Free Census is to transcribe all the UK 19th century census returns. It is part of Free UKGEN and is a sister project to FreeBMD and Free REG. The intention is that all three of the UK primary sources for the family historian will be online and “free to view.” Six months after the Devon project started, the Cornwall 1891 commenced.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the England population by age. The dataset can be utilized to understand the age distribution and demographics of England.
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/.
Official statistics are produced impartially and free from political influence.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system. The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the England Hispanic or Latino population. It includes the distribution of the Hispanic or Latino population, of England, by their ancestries, as identified by the Census Bureau. The dataset can be utilized to understand the origin of the Hispanic or Latino population of England.
Key observations
Among the Hispanic population in England, regardless of the race, the largest group is of Mexican origin, with a population of 116 (100% of the total Hispanic population).
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Origin for Hispanic or Latino population include:
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 England Population by Race & Ethnicity. 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
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).
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 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
An Act for ascertaining the Number of the Inhabitants of the Colony of New South Wales in the Year One thousand eight hundred and forty-one, 1840 (4 Victoria Act No. 26) required every householder, employer of servants and proprietor and occupier of land to complete the census schedule on the second day ('or on the days immediately subsequent thereto') of March 1841.
The 1841 Census was more complete than its predecessors, as the population was recorded in police districts, counties and towns. There was a broader tabulation of results which included age groups, conjugal condition (married or unmarried), religious denomination and civil condition. Civil condition provided statistical information on the number of bond (convict) or free males and females in a household, whether they were born in the colony, arrived free, held a ticket of leave, and whether they were in government employment or private assignment.
The Census was taken by specially appointed collectors generally responsible to a Commissioner or a Bench of Magistrates, the collector completed printed forms, known as Form ‘A’ for each household in the allotted territory. After the Census magistrates were instructed to check the returns and send abstracts to the Colonial Secretary, designated Form ‘C’. The returns were then gathered together, statistics extracted and the final returns made.
This series comprises bound volumes of Form C . (NRS 1281).
The Form C records: number of return, name of establishment (usually head of household), number of each age group for males, and then for females (the age divisions are under two, two and under seven, seven and under 14, 14 and under 21, 21 and under 45, 45 and under 60, 60 and upwards); married or single; civil condition: free (born in colony, arrived free, other free persons), bond (ticket of leave, in government employment, in private assignment); then religion divided into Church of England, Church of Scotland, Wesleyan Methodists, other Protestant dissenters, Roman Catholics, Jews, Mohammedans and Pagans; occupation divided into land proprietors, merchants, bankers, and professional men; shopkeepers and other retail dealers; mechanics and artificers; shepherds and others in the care of sheep; gardeners, stockmen and persons employed in agriculture; domestic servants; all other persons not included in the foregoing classes; totals for males, for females, and for both; houses - further divided into stone or brick, wood, total; finished or unfinished; inhabited or uninhabited. The columns are totalled at the bottom of each sheet.
As well as these Abstracts of returns, there are also a number of "condensed" abstracts of returns, filled in on Form C. These enumerate the running numbers covered by each sheet of abstracts eg. one-20, 21-40 and give sums for each group as well as grand total.
Form C abstracts are arranged by district following the order in the Returns of the Colony for 1841. 'Condensed' Abstracts are filed with the district abstracts to which they pertain.
Berrima-Port Phillip (X946-49)
Queanbeyan-Yass (X950-51)
References
1) State Records New South Wales Website, "Concise Guide to the State Archives (Ca - Commissioners): Colonial Secretary, later Chief Secretary, later Services; s. Population and Statistics, a. Musters and Census Records, ii. Census,23. 1841 Census: Abstracts of returns, CGS 1282."
2) State Records New South Wales Website, "Introduction to the 1841 Census: Index to the 1841 Census, Background".
3) State Records New South Wales Website, "Short Guide 12 - Muster and Census Records, 1788 - 1901".
IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system.
The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems.
National coverage
Occupied dwellings and communal establishments
Anyone who is temporarily away from home on the night of 29 April 2001 who usually lives at this address. Any baby born before 30 April 2001, even if sitll in hospital. People with more than one address if they live at this address for the majority of the time. Anyone who is staying with no other usual address. A spouse or partners who works away from home, or is a member of the armed forces, and usually lives at this address.
Census/enumeration data [cen]
MICRODATA SOURCE: Office of Population Censuses and Surveys. The 2001 SARs were sampled from the One Number Census database for the entire UK.
SAMPLE DESIGN: The sampling scheme for the household SAR (Sample of anonymised records) is a stratified simple random sampling, where the strata are EDs (Enumeration districts). Unlike 1991, there is no stratification within EDs. Random sampling is applied within each ED. The sampling scheme for the individual SAR follows the 1991 approach of drawing from the population excluding the household sample. Stratification is again by ED. The Individual SAR sampled both private and communal persons, unlike the household SAR which only sampled only households.
SAMPLE UNIT: Dwelling
SAMPLE FRACTION: 3.0%
SAMPLE SIZE (person records): 1,843,525
Face-to-face [f2f]
England household form (H1)
UNDERCOUNT: No official estimates
Official statistics are produced impartially and free from political influence.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system. The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems.
Official statistics are produced impartially and free from political influence.