https://www.ons.gov.uk/methodology/geography/licenceshttps://www.ons.gov.uk/methodology/geography/licences
This file contains the ONS UPRN Directory (ONSUD) for Great Britain as at October 2023. The ONSUD relates the Unique Property Reference Number (UPRN) for each GB address from AddressBase® Epoch 104 to a range of current statutory administrative, electoral, health and other statistical geographies. The ONSUD is produced by ONS Geography, who provide geographic support to the Office for National Statistics (ONS) and geographic services used by other organisations. The ONSUD is issued every 6 weeks and is designed to complement the Ordnance Survey AddressBase® product. For further technical information about this file, please refer to the User Guide document contained within the downloadable zip file. Please note that this product contains Royal Mail, Gridlink, Ordnance Survey and ONS Intellectual Property Rights. (File Size - 532 MB)NB. Amended 06/12/2023 to correct corrupted EE region file
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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The latest data for the measures of children’s well-being, complementing the UK Measures of National Well-being.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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This document explains how postcodes are allocated to a range of geographies on which statistics are published. It explains the main differences in how postcodes are allocated between our two main postcode products, the NSPL and the ONSPD. (File Size - 519 KB)
https://www.ons.gov.uk/methodology/geography/licenceshttps://www.ons.gov.uk/methodology/geography/licences
This User Guide contains information about the ONSPD including: directory content; data currency; the methodology for assigning areas to postcodes; data formats; data quality and limitations and details of recent changes that have impacted on the data. Various annexes and tables provide more detailed supporting information. (File size - 561 KB)
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Annual mid-year population estimates for those aged 90 years and over by sex and single year of age (90 to 104 years), and the 105 years and over age group, UK.
Abstract copyright UK Data Service and data collection copyright owner.
The Opinions and Lifestyle Survey (formerly known as the ONS Opinions Survey or Omnibus) is an omnibus survey that began in 1990, collecting data on a range of subjects commissioned by both the ONS internally and external clients (limited to other government departments, charities, non-profit organisations and academia).
Data are collected from one individual aged 16 or over, selected from each sampled private household. Personal data include data on the individual, their family, address, household, income and education, plus responses and opinions on a variety of subjects within commissioned modules.
The questionnaire collects timely data for research and policy analysis evaluation on the social impacts of recent topics of national importance, such as the coronavirus (COVID-19) pandemic and the cost of living, on individuals and households in Great Britain.
From April 2018 to November 2019, the design of the OPN changed from face-to-face to a mixed-mode design (online first with telephone interviewing where necessary). Mixed-mode collection allows respondents to complete the survey more flexibly and provides a more cost-effective service for customers.
In March 2020, the OPN was adapted to become a weekly survey used to collect data on the social impacts of the coronavirus (COVID-19) pandemic on the lives of people of Great Britain. These data are held in the Secure Access study, SN 8635, ONS Opinions and Lifestyle Survey, Covid-19 Module, 2020-2022: Secure Access.
From August 2021, as coronavirus (COVID-19) restrictions were lifting across Great Britain, the OPN moved to fortnightly data collection, sampling around 5,000 households in each survey wave to ensure the survey remains sustainable.
The OPN has since expanded to include questions on other topics of national importance, such as health and the cost of living. For more information about the survey and its methodology, see the ONS OPN Quality and Methodology Information webpage.
Secure Access Opinions and Lifestyle Survey data
Other Secure Access OPN data cover modules run at various points from 1997-2019, on Census religion (SN 8078), cervical cancer screening (SN 8080), contact after separation (SN 8089), contraception (SN 8095), disability (SNs 8680 and 8096), general lifestyle (SN 8092), illness and activity (SN 8094), and non-resident parental contact (SN 8093). See Opinions and Lifestyle Survey: Secure Access for details.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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Coastal towns list, population and employment data.
Survey of capital expenditure by businesses.
Abstract copyright UK Data Service and data collection copyright owner.
The Annual Population Survey (APS) is a major survey series, which aims to provide data that can produce reliable estimates at the local authority level. Key topics covered in the survey include education, employment, health and ethnicity. The APS comprises key variables from the Labour Force Survey (LFS), all its associated LFS boosts and the APS boost. The APS aims to provide enhanced annual data for England, covering a target sample of at least 510 economically active persons for each Unitary Authority (UA)/Local Authority District (LAD) and at least 450 in each Greater London Borough. In combination with local LFS boost samples, the survey provides estimates for a range of indicators down to Local Education Authority (LEA) level across the United Kingdom.
For further detailed information about methodology, users should consult the Labour Force Survey User Guide, included with the APS documentation. For variable and value labelling and coding frames that are not included either in the data or in the current APS documentation, users are advised to consult the latest versions of the LFS User Guides, which are available from the ONS Labour Force Survey - User Guidance webpages.
Occupation data for 2021 and 2022
The ONS has identified an issue with the collection of some occupational data in 2021 and 2022 data files in a number of their surveys. While they estimate any impacts will be small overall, this will affect the accuracy of the breakdowns of some detailed (four-digit Standard Occupational Classification (SOC)) occupations, and data derived from them. None of ONS' headline statistics, other than those directly sourced from occupational data, are affected and you can continue to rely on their accuracy. The affected datasets have now been updated. Further information can be found in the ONS article published on 11 July 2023: Revision of miscoded occupational data in the ONS Labour Force Survey, UK: January 2021 to September 2022
APS Well-Being Datasets
From 2012-2015, the ONS published separate APS datasets aimed at providing initial estimates of subjective well-being, based on the Integrated Household Survey. In 2015 these were discontinued. A separate set of well-being variables and a corresponding weighting variable have been added to the April-March APS person datasets from A11M12 onwards. Further information on the transition can be found in the Personal well-being in the UK: 2015 to 2016 article on the ONS website.
APS disability variables
Over time, there have been some updates to disability variables in the APS. An article explaining the quality assurance investigations on these variables that have been conducted so far is available on the ONS Methodology webpage.
The Secure Access data have more restrictive access conditions than those made available under the standard EUL. Prospective users will need to gain ONS Accredited Researcher status, complete an extra application form and...
This dataset is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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Labour Force Survey (LFS) estimates including measures of uncertainty of the number of households by household size, for England, Scotland and Wales, as well as the regions of England.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
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Release Date: 2023-09-28.Release Schedule:.The data in this file was released in September 2023...Key Table Information:.The estimates presented are based on data from the 2021 Vehicle Inventory and Use Survey (VIUS). These estimates only cover vehicles registered during 2001 in one of the fifty United States (except New Hampshire) or the District of Columbia that are classified by vehicle manufacturers as trucks, minivans, vans, or sports utility vehicles. Additionally, vehicles owned by federal, state, and local governments, ambulances, buses, motor homes, farm tractors, unpowered trailer units, and any vehicle reported to have been disposed prior to January 1, 2021, are considered out of scope for the VIUS..Additionally, estimates on this table are restricted to in-scope vehicles identified to have been used at some point in 2021..Estimates may not be additive due to rounding..The Census Bureau has reviewed this data product to ensure appropriate access, use, and disclosure avoidance protection of the confidential source data (Project No. P-7527235, Disclosure Review Board (DRB) approval number: CBDRB-FY23-032)...Data Items and Other Identifying Records:.Primary characteristics that appear in this table:..Average weight.Total length.Annual miles.Primary range of operations.Primary jurisdiction.Fuel type.Refueling location.Miles per gallon.General maintenance.Extensive repairs.Engine rebuild...Secondary characteristics that appear in this table:.Cubic inch displacement (under fuel type).Cost of general maintenance (under general maintenance).Cost of extensive repairs (under extensive repairs)...Estimates on this table:.Number of vehicles (thousands).Vehicle miles (millions).Average miles per vehicle (thousands).Coefficients of variation for all of the above estimates (percentages)...Data Item Notes:..General Maintenance, Extensive Repairs.Detail lines do not add to total because multiple responses were possible..Cubic Inch Displacement.Data were derived from administrative records....Geography Coverage:.On this table, geography refers to the address on a given vehicle's registration..Data are shown for the United States, 49 states (every state except New Hampshire), and the District of Columbia..Note that estimates at the 'United States' level also do not include vehicles with registration addresses in New Hampshire because the state did not consent to sharing registrant data for this survey. See https://www.census.gov/programs-surveys/vius/data.html for model-based estimates at the United States level that do include New Hampshire...Industry Coverage:.Not applicable...FTP Download:.Download the entire table at: https://www2.census.gov/programs-surveys/vius/data/2021/VIUS212C.zip..API Information:.Vehicle Inventory and Use Survey data are housed in the Census Bureau API. For more information, see https://api.census.gov/data/2021/viusc.html..Methodology:.Estimates are based on a sample of in-scope vehicles and are subject to both sampling and nonsampling error. Estimated measures of sampling variability are provided in the tables. For information on sampling or nonsampling error or and other design and methodological details, see Vehicle Inventory and Use Survey (VIUS): Technical Documentation: Vehicle Inventory and Use Survey Methodology...Symbols:.S - Estimate does not meet publication standards because of high sampling variability, poor response quality, or other concerns about the estimate quality. Unpublished estimates derived from this table by subtraction are subject to these same limitations and should not be attributed to the U.S. Census Bureau. For a description of publication standards and the total quantity response rate, see Vehicle Inventory and Use Survey (VIUS): Technical Documentation: Vehicle Inventory and Use Survey Methodology..Z - Round to Zero..X - Not Applicable..For a complete list of all economic programs symbols, see the Economic Census: Technical Documentation: Data Dictionary. ..Source:.Suggested Citation: U.S. Department of Transportation, Bureau of Transportation Statistics; and, U.S. Department of Commerce, U.S. Census Bureau. (9/28/23). In-use Vehicles by Registration State, Business Use, and Body Type: 2021 [VIUSC2021]. 2021 Vehicle Inventory and Use Survey. U.S. Department of Transportation, Bureau of Transportation Statistics; U.S. Department of Commerce, U.S. Census Bureau; U.S. Department of Transportation, Federal Highway Administration; U.S. Department of Energy. Accessed [enter date you accessed/downloaded this table here] from [enter URL of the table page here]...For information about VIUS, see Vehicle Inventory and Use Survey: (VIUS)..Contact Information:.U.S. Census Bureau.Vehicle Inventory and Use Survey.Tel. (301) 763-6901.Email: erd.vius@census.gov
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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Counts of libraries in England and Wales. Geographies include local authority districts (LADs), built up areas (BUAs) and combined authorities.
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Statistics on Capital Markets Services Licence holders by Core Activity
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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Number of people of State Pension age and working age, and old age dependency ratios for regions, counties and local authorities in England.
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Statistics on Malaysian Companies registered with MATRADE of Franchise Services No. of Views : 69
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Historical Dataset of Epic One On One Charter School District is provided by PublicSchoolReview and contain statistics on metrics:Comparison of Diversity Score Trends,Total Revenues Trends,Total Expenditure Trends,Average Revenue Per Student Trends,Average Expenditure Per Student Trends,Reading and Language Arts Proficiency Trends,Math Proficiency Trends,Science Proficiency Trends,Graduation Rate Trends,Overall School District Rank Trends,American Indian Student Percentage Comparison Over Years (2014-2023),Asian Student Percentage Comparison Over Years (2014-2023),Hispanic Student Percentage Comparison Over Years (2014-2023),Black Student Percentage Comparison Over Years (2014-2023),White Student Percentage Comparison Over Years (2014-2023),Two or More Races Student Percentage Comparison Over Years (2014-2023),Comparison of Students By Grade Trends
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Finland FI: Government Expenditure on Education: Total: % of Government Expenditure data was reported at 12.318 % in 2014. This records a decrease from the previous number of 12.446 % for 2013. Finland FI: Government Expenditure on Education: Total: % of Government Expenditure data is updated yearly, averaging 12.066 % from Dec 1981 (Median) to 2014, with 32 observations. The data reached an all-time high of 12.859 % in 1991 and a record low of 10.906 % in 1984. Finland FI: Government Expenditure on Education: Total: % of Government Expenditure data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Finland – Table FI.World Bank: Education Statistics. General government expenditure on education (current, capital, and transfers) is expressed as a percentage of total general government expenditure on all sectors (including health, education, social services, etc.). It includes expenditure funded by transfers from international sources to government. General government usually refers to local, regional and central governments.; ; United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.; Median;
Annual statistics of the number of ships and types of goods (on each dock)
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Italy IT: Government Expenditure on Tertiary Education: % of Government Expenditure on Education data was reported at 19.586 % in 2014. This records an increase from the previous number of 19.566 % for 2013. Italy IT: Government Expenditure on Tertiary Education: % of Government Expenditure on Education data is updated yearly, averaging 16.325 % from Dec 1970 (Median) to 2014, with 32 observations. The data reached an all-time high of 19.586 % in 2014 and a record low of 8.976 % in 1979. Italy IT: Government Expenditure on Tertiary Education: % of Government Expenditure on Education data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Italy – Table IT.World Bank: Education Statistics. Expenditure on tertiary education is expressed as a percentage of total general government expenditure on education. General government usually refers to local, regional and central governments.; ; United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.; Median;
https://www.ons.gov.uk/methodology/geography/licenceshttps://www.ons.gov.uk/methodology/geography/licences
This file contains the ONS UPRN Directory (ONSUD) for Great Britain as at October 2023. The ONSUD relates the Unique Property Reference Number (UPRN) for each GB address from AddressBase® Epoch 104 to a range of current statutory administrative, electoral, health and other statistical geographies. The ONSUD is produced by ONS Geography, who provide geographic support to the Office for National Statistics (ONS) and geographic services used by other organisations. The ONSUD is issued every 6 weeks and is designed to complement the Ordnance Survey AddressBase® product. For further technical information about this file, please refer to the User Guide document contained within the downloadable zip file. Please note that this product contains Royal Mail, Gridlink, Ordnance Survey and ONS Intellectual Property Rights. (File Size - 532 MB)NB. Amended 06/12/2023 to correct corrupted EE region file