http://reference.data.gov.uk/id/open-government-licencehttp://reference.data.gov.uk/id/open-government-licence
Archive of 1971 census aggregate data for England, Wales and Scotland, as made available originally on the Casweb (https://casweb.ukdataservice.ac.uk) platform.
Official statistics are produced impartially and free from political influence.
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 2023 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 - 188 MB).
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.”
Abstract copyright UK Data Service and data collection copyright owner.
Official statistics are produced impartially and free from political influence.
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
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the data for the England, AR population pyramid, which represents the England population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.
Key observations
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 England 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 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
http://reference.data.gov.uk/id/open-government-licencehttp://reference.data.gov.uk/id/open-government-licence
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).
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
These data contain lifetables derived from the ONS Longitudinal study dataset, and according to age, sex and individual socio-economic status measured with education, occupation or wage in England and Wales in 2011. Life table according to age, sex and individual’s education, or occupation or wage for the England & Wales population in 2011 The data contained in these files are aggregated data from the ONS Longitudinal Study (ONS LS). The ONS LS is a long-term census-based multi-cohort study. It uses four annual birthdates as random selection criteria, giving a 1% sample of the England and Wales population (10.1093/ije/dyy243). The initial sample was drawn from the 1971 Census, and study members’ census records have been linked every 10 years up to the 2011 Census. New members enter the study through birth or immigration, and existing members leave through death or emigration. Vital life events information (births, deaths and cancer registrations) are also linked to sample members’ records. File lifetab_2011_educ.csv Life table according to age, sex and education level for the England & Wales population in 2011 age x: attained age (years) from 20 to 100 sex: 2 categories: male (m) and female (f) educ: 6 categories of highest educational attainment: A: no qualifications; B: 1-4 GCSEs/O levels; C: 5+ GCSEs/O levels, D: Apprenticeships/Vocational qualifications, E: A/AS levels, F: Degree/Higher Degree mx: mortality rate for 1 person-year qx: annual probability of death ( = 1 - exp(-mx) ) ex: life-expectancy (years) File lifetab_2011_inc.csv Life table from age 20 onwards and according to age, sex and income level for the England & Wales population in 2011 age x: attained age (years) from 20 to 100 sex: 2 categories: male (m); female (f) inc: 5 categories of income: Least deprived; 4; 3; 2; Most deprived mx: mortality rate for 1 person-year qx: annual probability of death ( = 1 - exp(-mx) ) ex: life-expectancy (years) File lifetab_2011_occ.csv Life table from age 20 onwards and according to age, sex and occupation for the England & Wales population in 2011 age x: attained age (years) from 20 to 100 sex: 2 categories: male (m); female (f) occ: 3 categories of occupation: C: Technical/Routine; B: Intermediate; A: Managerial/Administrative/Professional mx: mortality rate for 1 person-year qx: annual probability of death ( = 1 - exp(-mx) ) ex: life-expectancy (years) File lifetab_2011_overall.csv Life table from age 20 onwards and according to age and sex for the England & Wales population in 2011 age x: attained age (years) from 20 to 100 sex: 2 categories: male (m); female (f) mx: mortality rate for 1 person-year qx: annual probability of death ( = 1 - exp(-mx) ) ex: life-expectancy (years) More details can be found in the following paper: Ingleby F, Woods L, Atherton I, Baker M, Elliss-Brookes L, Belot A. (2021). Describing socio-economic variation in life expectancy according to an individual's education, occupation and wage in England and Wales: An analysis of the ONS Longitudinal Study. SSM - Population Health, doi: 10.1016/j.ssmph.2021.100815
In the UK, people who reside within more income-deprived areas live a shorter period of time after a diagnosis of cancer compared to people living in less income-deprived areas. At least part of these inequalities in cancer survival are due to inequalities in cancer care, even considering differential patient and tumour factors such as stage at diagnosis. The specific mechanisms by which area-based deprivation levels lead to poorer individual health outcomes within the context of a universal healthcare system, free at the point of use, are not well understood. These analyses will enable, for the first time, the examination of how an individual patient's socio-economic status is associated with poorer cancer survival in England, and will demonstrate how these associations might be modified by the level of deprivation in the small area within which the patient resides. Our aim is to perform an in-depth study of the association between the individual patient's deprivation and cancer survival, considering in particular how this is influenced by their socio-economic context, whether it varies over time since diagnosis and whether it has changed over calendar time. We will focus on three indicators of deprivation: income, education and occupation. We will first examine the correlation between individual and area deprivation, by each of these indicators, and then secondly describe the association between individual deprivation and survival. Third, we will assess whether the association between individual deprivation and patients' survival is modified by area deprivation; that is, whether equally deprived individuals in different areas fare better, or worse, according to the socio-economic context of the area within which they live. Finally we will gain the insights of patients, carers, and healthcare professionals on these data, and communicate these to cancer policy...
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
The key benefits of leveraging our Geodemographic Data include: - Data Accuracy - Informed Decision-Making - Competitive Advantage - Efficiency - Single Source
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.
http://reference.data.gov.uk/id/open-government-licencehttp://reference.data.gov.uk/id/open-government-licence
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 England 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 England. The dataset can be utilized to understand the population distribution of England by age. For example, using this dataset, we can identify the largest age group in England.
Key observations
The largest age group in England, AR was for the group of age 55 to 59 years years with a population of 261 (10.16%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in England, AR was the 85 years and over years with a population of 36 (1.40%). 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 England Population by Age. You can refer the same here
The Pupil Referral Unit Census is a statutory return for all local authority maintained PRU's and alternative provision academies including alternative provision free schools in England. The Pupil Referral Unit Census collects information about individual pupils and information about the pupil referral units themselves, such as their educational provision. The individual pupil information collected includes free school meal eligibility, ethnicity, special educational needs, attendance and exclusions. The pupil referral unit census began in 2010 and was collected annually each year until January 2013. From January 2014 all pupil referral units, including alternative provision academies, will be required to submit termly data to the department as part of the School Census. Prior to the introduction of the pupil level Pupil Referral Unit Census, aggregated data was collected from Pupil Referral Units via the School Level Annual School Census.
https://www.ons.gov.uk/methodology/geography/licenceshttps://www.ons.gov.uk/methodology/geography/licences
This is the ONS Postcode Directory (ONSPD) for the United Kingdom as at May 2023 in Comma Separated Variable (CSV) and ASCII text (TXT) formats. This file contains the multi CSVs so that postcode areas can be opened in MS Excel. To download the zip file click the Download button. The ONSPD relates both current and terminated postcodes in the United Kingdom to a range of current statutory administrative, electoral, health and other area geographies. It also links postcodes to pre-2002 health areas, 1991 Census enumeration districts for England and Wales, 2001 Census Output Areas (OA) and Super Output Areas (SOA) for England and Wales, 2001 Census OAs and SOAs for Northern Ireland and 2001 Census OAs and Data Zones (DZ) for Scotland. It now contains 2021 Census OAs and SOAs for England, Wales and Northern Ireland. It helps support the production of area based statistics from postcoded data. The ONSPD is produced by ONS Geography, who provide geographic support to the Office for National Statistics (ONS) and geographic services used by other organisations. The ONSPD is issued quarterly. (File size - 234 MB)Please note that this product contains Royal Mail, Gridlink, LPS (Northern Ireland), Ordnance Survey and ONS Intellectual Property Rights.
(Link to Metadata) The VTBB201006 VT Broadband Availability Dataset represents wireline and wireless 'broadband service' availability in VT as of 6/30/2010. This dataset was compiled in support of BroadbandVT.org and the NTIA State Broadband Data and Development (SBDD) grant program. This dataset includes the following feature classes - Utility_VTBB201006_point_Public = The list provided contains non-commercial locations where free broadband access is available. It primarily lists public libraries. - Utility_VTBB201006_poly_BlockAll = Detailed broadband availability by census block - Utility_VTBB201006_poly_BlockSum = Total availability of wireline and wireless broadband service by census block - Utility_VTBB201006_poly_Cable = Availablity of cable broadband by census block - Utility_VTBB201006_poly_DSL = Availablity of DSL broadband by census block - Utility_VTBB201006_poly_Fiber = Availablity of fiber optic broadband by census block - Utility_VTBB201006_poly_Wireless = Availablity of wireless (mobile and fixed) broadband by census block - Utility_VTBB201006_poly_Wireline = Availablity of wireline (cable, DSL, fiber optic) broadband by census block For this purpose, 'broadband service' is the provision, on either a commercial or non-commercial basis, of data transmission technology that provides two-way data transmission to and from the Internet with advertised speeds of at least 768 kilobits per second (kbps) downstream and greater than 200 kbps upstream to end users, or providing sufficient capacity in a middle mile project to support the provision of broadband service to end-users within the project area. For this purpose, an 'end user' of broadband service is a residential or business party, institution or State or local government entity that may use broadband service for its own purposes and that does not resell such service to other entities or incorporate such service into retail Internet-access services. Internet Service Providers (ISPs) are not 'end users' for this purpose. An entity is a 'facilities based' provider of broadband service connections to end user locations if any of the following conditions are met: (1) It owns the portion of the physical facility that terminates at the end user location; (2) it obtains unbundled network elements (UNEs), special access lines, or other leased facilities that terminate at the end user location and provisions/equips them as broadband; or (3) it provisions/equips a broadband wireless channel to the end user location over licensed or unlicensed spectrum. For this purpose, 'broadband service' is 'available' at an address if the provider does, or could, within a typical service interval (7 to 10 business days) without an extraordinary commitment of resources, provision two-way data transmission to and from the Internet with advertised speeds of at least 768 kilobits per second (kbps) downstream and greater than 200 kbps upstream to end-users at that address.
An ad hoc publication showing the number and proportion of pupils in academies and free schools using data from the October 2018 school census.
The schools that take part in the census include:
An in-depth look into the number of pupils in schools will be published in June 2019.
http://reference.data.gov.uk/id/open-government-licencehttp://reference.data.gov.uk/id/open-government-licence
Archive of 1971 census aggregate data for England, Wales and Scotland, as made available originally on the Casweb (https://casweb.ukdataservice.ac.uk) platform.