100+ datasets found
  1. c

    Crime Survey for England and Wales, 2011-2020: Secure Access, Low-Level...

    • datacatalogue.cessda.eu
    • beta.ukdataservice.ac.uk
    Updated May 16, 2025
    + more versions
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    Office for National Statistics (2025). Crime Survey for England and Wales, 2011-2020: Secure Access, Low-Level Geographic Data [Dataset]. http://doi.org/10.5255/UKDA-SN-7311-8
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    Dataset updated
    May 16, 2025
    Authors
    Office for National Statistics
    Time period covered
    Apr 1, 2011 - Mar 31, 2020
    Area covered
    England and Wales
    Variables measured
    Individuals, Administrative units (geographical/political), National
    Measurement technique
    Compilation/Synthesis
    Description

    Abstract copyright UK Data Service and data collection copyright owner.

    Background:
    The Crime Survey for England and Wales (CSEW), previously known as the British Crime Survey (BCS), has been in existence since 1981. The survey traditionally asks a sole randomly selected adult, in a random sample of households, details pertaining to any instances where they, or the household, has been a victim of a crime in the previous 12 months. These are recorded in the victim form data file (VF). A wide range of questions are then asked covering demographics and crime-related subjects such as attitudes to the police and the criminal justice system (CJS). Most of the questionnaire is completed in a face-to-face interview in the respondent's home; these variables are contained within the non-victim form (NVF) data file. Since 2009, the survey has been extended to children aged 10-15 years old; one resident of that age range has also been selected at random from the household and asked about incidents where they have been a victim of crime, and other related topics. The first set of children's data, covering January-December 2009, had experimental status, and is held separately under SN 6601. From 2009-2010, the children's data cover the same period as the adult data and are included with the main dataset. Further information may be found on the ONS Crime Survey for England and Wales web page and for the previous BCS, from the GOV.UK BCS Methodology web page.

    Self-completion data:
    A series of questions on drinking behaviour, drug use and intimate personal violence (including stalking and sexual victimisation) are administered to adults via a self-completion module which the respondent completes on a laptop computer. Children aged 10-15 years also complete a separate self-completion questionnaire. The questions are contained within the main questionnaire documents, but the data are not available with the main survey; they are available only under Secure Access conditions. Lower-level geographic variables are also available under Secure Access conditions to match to the survey.

    History:
    Up to 2001, the survey was conducted biennially. From April 2001, interviewing was carried out continually and reported on in financial year cycles and the crime reference period was altered to accommodate this change. The core sample size has increased from around 11,000 in the earlier cycles to over 40,000. Following the National Statistician's Review of Crime Statistics in June 2011 the collation and publication of Crime Statistics moved to the Office for National Statistics (ONS) from 1st April 2012, and the survey changed its name to the Crime Survey for England and Wales (CSEW) accordingly.

    Scottish data:
    The 1982 and 1988 BCS waves were also conducted in Scotland. The England and Wales data for 1982 and 1988 are held at the UKDA under SNs 1869 and 2706, but the Scottish data for these studies are held separately under SNs 4368 and 4599. Since 1993, separate Scottish Crime and Justice Surveys have been conducted, see the series web page for more details.

    New methodology for capping the number of incidents from 2017-18
    The CSEW datasets available from 2017-18 onward are based upon a new methodology of capping the number of incidents at the 98th percentile. Incidence variables names have remained consistent with previously supplied data but due to the fact they are based on the new 98th percentile cap, and old data sets are not, comparability has been lost with previous years. More information can be found in the 2017-18 User Guide and the article ‘Improving victimisation estimates derived from the Crime Survey for England and Wales’. ONS intend to publish all micro data back to 1981 with incident data based on the 98th percentile cap later in 2019.

    Documentation:
    Please see the documentation for the main Secure Access CSEW survey held under SN 7280.

    Latest edition information:
    For the eighth edition (August 2021), the CSEW 2019-20 geographic data have been added to the study.

    Main Topics:

    The following geographic variables are included:
  2. Super Output Areas (Lower Layer)
  3. Super Output Areas (Middle Layer)
  4. Basic Command Units (included only in the data file for 2011/12)
  5. Community Safety Partnerships (included only in the data files for 2011/12 and 2012/13)

    Prospective users should also order the main Crime Survey for England and Wales held under SN 7252 (2011-2012), SN 7422 (2012-2013), SN 7619 (2013-2014), SN 7889 (2014-2015), SN 8140 (2015-2016), SN 8321 (2016-2017), SN 8464 (2017-2018), SN 8608 (2008-2019) and SN 8812 (2019-2020) (End User Licence) or SN 7280 (Secure Access).
  • Business demography, quarterly, UK, low-level geographic breakdown, UK

    • ons.gov.uk
    xlsx
    Updated Apr 29, 2025
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    Office for National Statistics (2025). Business demography, quarterly, UK, low-level geographic breakdown, UK [Dataset]. https://www.ons.gov.uk/businessindustryandtrade/business/activitysizeandlocation/datasets/businessdemographyquarterlyexperimentalstatisticslowlevelgeographicbreakdownuk
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Apr 29, 2025
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    United Kingdom
    Description

    Business creations and closures from the Inter-Departmental Business Register, a low-level geographic breakdown for the UK, quarterly data. These are official statistics in development

  • Geographic Information System Analytics Market Analysis, Size, and Forecast...

    • technavio.com
    Updated Jul 15, 2024
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    Technavio (2024). Geographic Information System Analytics Market Analysis, Size, and Forecast 2024-2028: North America (US and Canada), Europe (France, Germany, UK), APAC (China, India, South Korea), Middle East and Africa , and South America [Dataset]. https://www.technavio.com/report/geographic-information-system-analytics-market-industry-analysis
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    Dataset updated
    Jul 15, 2024
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Global, Germany, United States, Canada, France, United Kingdom
    Description

    Snapshot img

    Geographic Information System Analytics Market Size 2024-2028

    The geographic information system analytics market size is forecast to increase by USD 12 billion at a CAGR of 12.41% between 2023 and 2028.

    The GIS Analytics Market analysis is experiencing significant growth, driven by the increasing need for efficient land management and emerging methods in data collection and generation. The defense industry's reliance on geospatial technology for situational awareness and real-time location monitoring is a major factor fueling market expansion. Additionally, the oil and gas industry's adoption of GIS for resource exploration and management is a key trend. Building Information Modeling (BIM) and smart city initiatives are also contributing to market growth, as they require multiple layered maps for effective planning and implementation. The Internet of Things (IoT) and Software as a Service (SaaS) are transforming GIS analytics by enabling real-time data processing and analysis.
    Augmented reality is another emerging trend, as it enhances the user experience and provides valuable insights through visual overlays. Overall, heavy investments are required for setting up GIS stations and accessing data sources, making this a promising market for technology innovators and investors alike.
    

    What will be the Size of the GIS Analytics Market during the forecast period?

    Request Free Sample

    The geographic information system analytics market encompasses various industries, including government sectors, agriculture, and infrastructure development. Smart city projects, building information modeling, and infrastructure development are key areas driving market growth. Spatial data plays a crucial role in sectors such as transportation, mining, and oil and gas. Cloud technology is transforming GIS analytics by enabling real-time data access and analysis. Startups are disrupting traditional GIS markets with innovative location-based services and smart city planning solutions. Infrastructure development in sectors like construction and green buildings relies on modern GIS solutions for efficient planning and management. Smart utilities and telematics navigation are also leveraging GIS analytics for improved operational efficiency.
    GIS technology is essential for zoning and land use management, enabling data-driven decision-making. Smart public works and urban planning projects utilize mapping and geospatial technology for effective implementation. Surveying is another sector that benefits from advanced GIS solutions. Overall, the GIS analytics market is evolving, with a focus on providing actionable insights to businesses and organizations.
    

    How is this Geographic Information System Analytics Industry segmented?

    The geographic information system analytics industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

    End-user
    
      Retail and Real Estate
      Government
      Utilities
      Telecom
      Manufacturing and Automotive
      Agriculture
      Construction
      Mining
      Transportation
      Healthcare
      Defense and Intelligence
      Energy
      Education and Research
      BFSI
    
    
    Components
    
      Software
      Services
    
    
    Deployment Modes
    
      On-Premises
      Cloud-Based
    
    
    Applications
    
      Urban and Regional Planning
      Disaster Management
      Environmental Monitoring Asset Management
      Surveying and Mapping
      Location-Based Services
      Geospatial Business Intelligence
      Natural Resource Management
    
    
    Geography
    
      North America
    
        US
        Canada
    
    
      Europe
    
        France
        Germany
        UK
    
    
      APAC
    
        China
        India
        South Korea
    
    
      Middle East and Africa
    
        UAE
    
    
      South America
    
        Brazil
    
    
      Rest of World
    

    By End-user Insights

    The retail and real estate segment is estimated to witness significant growth during the forecast period.

    The GIS analytics market analysis is witnessing significant growth due to the increasing demand for advanced technologies in various industries. In the retail sector, for instance, retailers are utilizing GIS analytics to gain a competitive edge by analyzing customer demographics and buying patterns through real-time location monitoring and multiple layered maps. The retail industry's success relies heavily on these insights for effective marketing strategies. Moreover, the defense industries are integrating GIS analytics into their operations for infrastructure development, permitting, and public safety. Building Information Modeling (BIM) and 4D GIS software are increasingly being adopted for construction project workflows, while urban planning and designing require geospatial data for smart city planning and site selection.

    The oil and gas industry is leveraging satellite imaging and IoT devices for land acquisition and mining operations. In the public sector,

  • Solar panels and solar farms in the UK - geographic open data (UKPVGeo)

    • zenodo.org
    • data.niaid.nih.gov
    bin, csv, txt
    Updated Nov 13, 2020
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    Dan Stowell; Dan Stowell; Jack Kelly; Damien Tanner; Jamie Taylor; Ethan Jones; James Geddes; Ed Chalstrey; Gregory Williams; Jerry Clough; Jack Kelly; Damien Tanner; Jamie Taylor; Ethan Jones; James Geddes; Ed Chalstrey; Gregory Williams; Jerry Clough (2020). Solar panels and solar farms in the UK - geographic open data (UKPVGeo) [Dataset]. http://doi.org/10.5281/zenodo.4059881
    Explore at:
    txt, csv, binAvailable download formats
    Dataset updated
    Nov 13, 2020
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Dan Stowell; Dan Stowell; Jack Kelly; Damien Tanner; Jamie Taylor; Ethan Jones; James Geddes; Ed Chalstrey; Gregory Williams; Jerry Clough; Jack Kelly; Damien Tanner; Jamie Taylor; Ethan Jones; James Geddes; Ed Chalstrey; Gregory Williams; Jerry Clough
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Area covered
    United Kingdom
    Description

    We present the results of a major crowd-sourcing campaign to create open geographic data for over 260,000 solar PV installations across the UK, covering the vast majority of the capacity in the country. We focus in particular on capturing small-scale domestic solar PV, which accounts for a significant fraction of generation but was until now very poorly documented.

    The data we introduce will enable decarbonisation at national scales, through forecasting and management of generation, and also serves as a training dataset for machine vision detection of new PV.

    For a complete description please see the research paper describing the dataset. Please cite this paper in any academic use of the data.

  • ONS Geography Linked Data Portal - Area Collections

    • data.wu.ac.at
    html, sparql
    Updated Aug 18, 2018
    + more versions
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    Office for National Statistics (2018). ONS Geography Linked Data Portal - Area Collections [Dataset]. https://data.wu.ac.at/odso/data_gov_uk/MzQxOTkxNTYtNGE0NS00OGFkLThhZDctNzBkNjYyZjY4N2I2
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    html, sparqlAvailable download formats
    Dataset updated
    Aug 18, 2018
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    This ONS Geography Linked Data site (http://statistics.data.gov.uk) is the access point for information on statistical geographies required to support the use of official statistics. It is designed to allow users to discover, view and use geospatial data.

    This dataset contains grouping of areas and 'within' relationships to support hierarchical browsing.

    This site is complementary to the ONS Open Geography Portal (https://geoportal.statistics.gov.uk). It allows access directly to data within the geography products, in machine-readable form and using an Application Programming Interface.

    This ONS Geography Linked Data site is the access point for information on statistical geographies required to support the use of official statistics. It is designed to allow users to discover, view and use geospatial data.

    This dataset contains grouping of areas and 'within' relationships to support hierarchical browsing.

    This site is complementary to the ONS Open Geography Portal. It allows access directly to data within the geography products, in machine-readable form and using an Application Programming Interface.

  • Location quotient data and geographic concentration for NUTS 1, NUTS 2 and...

    • ons.gov.uk
    • cy.ons.gov.uk
    xls
    Updated Mar 28, 2017
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    Office for National Statistics (2017). Location quotient data and geographic concentration for NUTS 1, NUTS 2 and local authorities [Dataset]. https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/employmentandemployeetypes/datasets/locationquotientdataandgeographicconcentrationfornuts1nuts2andlocalauthorities
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    xlsAvailable download formats
    Dataset updated
    Mar 28, 2017
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Location quotients for 2015 for NUTS 1 regions, NUTS 2 areas and local authorities in Great Britain. Location quotients are available by industrial sections (local authorities) and up to SIC 2 industries (NUTS 2) and up to SIC 3 industries (NUTS 1).

  • E

    Spatial inventory of UK waterbodies

    • catalogue.ceh.ac.uk
    • data-search.nerc.ac.uk
    zip
    Updated Nov 23, 2021
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    P.J. Taylor (2021). Spatial inventory of UK waterbodies [Dataset]. http://doi.org/10.5285/b6b92ce3-dcd7-4f0b-8e43-e937ddf1d4eb
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    zipAvailable download formats
    Dataset updated
    Nov 23, 2021
    Dataset provided by
    NERC EDS Environmental Information Data Centre
    Authors
    P.J. Taylor
    Area covered
    Description

    The dataset is the lake polygons from the UK Lakes Portal (https://eip.ceh.ac.uk/apps/lakes/), originally based on OS PANORAMA but this dataset includes data from a number of sources. It has a basic set of attributes including the water body ID (WBID) as well as the computed area and perimeter of each lake. The WBID is commonly used across research institutions and is the same ID as used on the UK Lakes Portal, where more information can be found on each lake in this dataset. This is v3.6, which follows the same versioning as the underlying database. Although the database has seen the majority of the changes since version 1, the polygons have also been changed and improved over that time, mostly fixing issues with lake outlines, but also some new sites being added.

  • England: geographic mobile coverage of data services 2019

    • statista.com
    Updated Jan 18, 2023
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    Statista (2023). England: geographic mobile coverage of data services 2019 [Dataset]. https://www.statista.com/statistics/506623/geographic-mobile-coverage-of-data-services-england/
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    Dataset updated
    Jan 18, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    United Kingdom (England)
    Description

    This statistic illustrates the share of coverage of mobile data services in England in 2019, by all operators. In 2019, 81 percent of England's geographical area was covered by all mobile data service (4G) operators.

  • England: geographic coverage of data networks 2019, by operator

    • statista.com
    Updated Jan 18, 2023
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    Statista (2023). England: geographic coverage of data networks 2019, by operator [Dataset]. https://www.statista.com/statistics/506569/coverage-of-data-networks-by-operator-england/
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    Dataset updated
    Jan 18, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    England
    Description

    This statistic illustrates the share of data network coverage in England in 2019, by operator. In 2019, EE had the largest geographic coverage of mobile data network, covering 93 percent of the landmass of England.

  • 2011 Census Geography boundaries (Lower Layer Super Output Areas and Data...

    • statistics.ukdataservice.ac.uk
    zip
    Updated Sep 20, 2022
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    Office for National Statistics; National Records of Scotland; Northern Ireland Statistics and Research Agency; UK Data Service. (2022). 2011 Census Geography boundaries (Lower Layer Super Output Areas and Data Zones) [Dataset]. https://statistics.ukdataservice.ac.uk/dataset/2011-census-geography-boundaries-lower-layer-super-output-areas-and-data-zones
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    zipAvailable download formats
    Dataset updated
    Sep 20, 2022
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    UK Data Servicehttps://ukdataservice.ac.uk/
    Northern Ireland Statistics and Research Agency
    Authors
    Office for National Statistics; National Records of Scotland; Northern Ireland Statistics and Research Agency; UK Data Service.
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    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).

  • E

    UK gridded population at 1 km resolution for 2021 based on Census 2021/2022...

    • catalogue.ceh.ac.uk
    • hosted-metadata.bgs.ac.uk
    • +2more
    zip
    Updated Feb 26, 2025
    + more versions
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    E. Carnell; S.J. Tomlinson; S. Reis (2025). UK gridded population at 1 km resolution for 2021 based on Census 2021/2022 and Land Cover Map 2021 [Dataset]. http://doi.org/10.5285/7beefde9-c520-4ddf-897a-0167e8918595
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    zipAvailable download formats
    Dataset updated
    Feb 26, 2025
    Dataset provided by
    NERC EDS Environmental Information Data Centre
    Authors
    E. Carnell; S.J. Tomlinson; S. Reis
    Time period covered
    Jan 1, 2021 - Dec 31, 2022
    Area covered
    Dataset funded by
    Department for Environment Food and Rural Affairs
    Description

    This dataset contains gridded human population with a spatial resolution of 1 km x 1 km for the UK based on Census 2021 (Census 2022 for Scotland) and Land Cover Map 2021 input data. Data on population distribution for the United Kingdom is available from statistical offices in England, Wales, Northern Ireland and Scotland and provided to the public e.g. via the Office for National Statistics (ONS). Population data is typically provided in tabular form or, based on a range of different geographical units, in file types for geographical information systems (GIS), for instance as ESRI Shapefiles. The geographical units reflect administrative boundaries at different levels of detail, from Devolved Administration to Output Areas (OA), wards or intermediate geographies. While the presentation of data on the level of these geographical units is useful for statistical purposes, accounting for spatial variability for instance of environmental determinants of public health requires a more spatially homogeneous population distribution. For this purpose, the dataset presented here combines 2021/2022 UK Census population data on Output Area level with Land Cover Map 2021 land-use classes 'urban' and 'suburban' to create a consistent and comprehensive gridded population data product at 1 km x 1 km spatial resolution. The mapping product is based on British National Grid (OSGB36 datum).

  • Register of Geographic Codes (December 2024) for the UK

    • geoportal.statistics.gov.uk
    • gimi9.com
    • +1more
    Updated Feb 3, 2025
    + more versions
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    Office for National Statistics (2025). Register of Geographic Codes (December 2024) for the UK [Dataset]. https://geoportal.statistics.gov.uk/datasets/7e1775db6a064a7e9c5ef860f0bf8daa
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    Dataset updated
    Feb 3, 2025
    Dataset authored and provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    Area covered
    Description

    The Register of Geographic Codes (RGC) is a key product that contains the definitive list of UK statistical geographies. ONS maintains the definitive set of statistical geographies, coordinates the issue of new codes, and maintains the relationship between active and archived code ranges on behalf of the Government Statistical Service. The RGC should be used in conjunction with the Code History Database, available to download separately.

  • National Geographic Map

    • hub.arcgis.com
    Updated Feb 10, 2012
    + more versions
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    Esri (2012). National Geographic Map [Dataset]. https://hub.arcgis.com/maps/d94dcdbe78e141c2b2d3a91d5ca8b9c9
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    Dataset updated
    Feb 10, 2012
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    Important Note: This item is in mature support as of July 2021. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version.This map is designed to be used as a general reference map for informational and educational purposes as well as a basemap by GIS professionals and other users for creating web maps and web mapping applications.The map was developed by National Geographic and Esri and reflects the distinctive National Geographic cartographic style in a multi-scale reference map of the world. The map was authored using data from a variety of leading data providers, including Garmin, HERE, UNEP-WCMC, NASA, ESA, USGS, and others.This reference map includes administrative boundaries, cities, protected areas, highways, roads, railways, water features, buildings and landmarks, overlaid on shaded relief and land cover imagery for added context. The map includes global coverage down to ~1:144k scale and more detailed coverage for North America down to ~1:9k scale.Map Note: Although small-scale boundaries, place names and map notes were provided and edited by National Geographic, boundaries and names shown do not necessarily reflect the map policy of the National Geographic Society, particularly at larger scales where content has not been thoroughly reviewed or edited by National Geographic.Data Notes: The credits below include a list of data providers used to develop the map. Below are a few additional notes:Reference Data: National Geographic, Esri, Garmin, HERE, iPC, NRCAN, METILand Cover Imagery: NASA Blue Marble, ESA GlobCover 2009 (Copyright notice: © ESA 2010 and UCLouvain)Protected Areas: IUCN and UNEP-WCMC (2011), The World Database on Protected Areas (WDPA) Annual Release. Cambridge, UK: UNEP-WCMC. Available at:www.protectedplanet.net.Ocean Data: GEBCO, NOAA

  • Data from: Geography of AI Technologies in the UK, 2012-2019

    • beta.ukdataservice.ac.uk
    • datacatalogue.cessda.eu
    Updated 2024
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    Mirko Draca (2024). Geography of AI Technologies in the UK, 2012-2019 [Dataset]. http://doi.org/10.5255/ukda-sn-857301
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    Dataset updated
    2024
    Dataset provided by
    UK Data Servicehttps://ukdataservice.ac.uk/
    datacite
    Authors
    Mirko Draca
    Area covered
    United Kingdom
    Description

    We provide measures of artificial intelligence technologies for the UK at the Travel-to-Work Area (TTWA) level. The data is derived from Lightcast Technologies (formerly known as Burning Glass) vacancy. A keyword-based algorithm is applied to the text of the vacancy data to characterise vacancies as being related to either cloud computing or machine leaning technologies (collectively grouped as AI).

  • Sustainable Development Goals geographic data coverage, by global goal

    • cy.ons.gov.uk
    • ons.gov.uk
    xlsx
    Updated Mar 19, 2018
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    Office for National Statistics (2018). Sustainable Development Goals geographic data coverage, by global goal [Dataset]. https://cy.ons.gov.uk/economy/environmentalaccounts/datasets/sustainabledevelopmentgoalsgeographicdatacoveragebyglobalgoal
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    xlsxAvailable download formats
    Dataset updated
    Mar 19, 2018
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    We have assessed the 114 global SDG indicators reported on our National Reporting Platform and have presented the levels of geographic coverage for these data - at a headline indicator and disaggregation level.

  • Millennium Cohort Study: Sweep 6 Geographical Identifiers Using 2011 Census...

    • beta.ukdataservice.ac.uk
    • datacatalogue.cessda.eu
    Updated 2024
    + more versions
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    Institute Of Education University Of London (2024). Millennium Cohort Study: Sweep 6 Geographical Identifiers Using 2011 Census Boundaries: Secure Access [Dataset]. http://doi.org/10.5255/ukda-sn-8232-1
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    Dataset updated
    2024
    Dataset provided by
    DataCitehttps://www.datacite.org/
    UK Data Servicehttps://ukdataservice.ac.uk/
    Authors
    Institute Of Education University Of London
    Description

    Background:
    The Millennium Cohort Study (MCS) is a large-scale, multi-purpose longitudinal dataset providing information about babies born at the beginning of the 21st century, their progress through life, and the families who are bringing them up, for the four countries of the United Kingdom. The original objectives of the first MCS survey, as laid down in the proposal to the Economic and Social Research Council (ESRC) in March 2000, were:

    • to chart the initial conditions of social, economic and health advantages and disadvantages facing children born at the start of the 21st century, capturing information that the research community of the future will require
    • to provide a basis for comparing patterns of development with the preceding cohorts (the National Child Development Study, held at the UK Data Archive under GN 33004, and the 1970 Birth Cohort Study, held under GN 33229)
    • to collect information on previously neglected topics, such as fathers' involvement in children's care and development
    • to focus on parents as the most immediate elements of the children's 'background', charting their experience as mothers and fathers of newborn babies in the year 2000, recording how they (and any other children in the family) adapted to the newcomer, and what their aspirations for her/his future may be
    • to emphasise intergenerational links including those back to the parents' own childhood
    • to investigate the wider social ecology of the family, including social networks, civic engagement and community facilities and services, splicing in geo-coded data when available
    Additional objectives subsequently included for MCS were:
    • to provide control cases for the national evaluation of Sure Start (a government programme intended to alleviate child poverty and social exclusion)
    • to provide samples of adequate size to analyse and compare the smaller countries of the United Kingdom, and include disadvantaged areas of England

    Further information about the MCS can be found on the Centre for Longitudinal Studies web pages.

    The content of MCS studies, including questions, topics and variables can be explored via the CLOSER Discovery website.

    The first sweep (MCS1) interviewed both mothers and (where resident) fathers (or father-figures) of infants included in the sample when the babies were nine months old, and the second sweep (MCS2) was carried out with the same respondents when the children were three years of age. The third sweep (MCS3) was conducted in 2006, when the children were aged five years old, the fourth sweep (MCS4) in 2008, when they were seven years old, the fifth sweep (MCS5) in 2012-2013, when they were eleven years old, the sixth sweep (MCS6) in 2015, when they were fourteen years old, and the seventh sweep (MCS7) in 2018, when they were seventeen years old.

    End User Licence versions of MCS studies:
    The End User Licence (EUL) versions of MCS1, MCS2, MCS3, MCS4, MCS5, MCS6 and MCS7 are held under UK Data Archive SNs 4683, 5350, 5795, 6411, 7464, 8156 and 8682 respectively. The longitudinal family file is held under SN 8172.

    Sub-sample studies:
    Some studies based on sub-samples of MCS have also been conducted, including a study of MCS respondent mothers who had received assisted fertility treatment, conducted in 2003 (see EUL SN 5559). Also, birth registration and maternity hospital episodes for the MCS respondents are held as a separate dataset (see EUL SN 5614).

    Release of Sweeps 1 to 4 to Long Format (Summer 2020)
    To support longitudinal research and make it easier to compare data from different time points, all data from across all sweeps is now in a consistent format. The update affects the data from sweeps 1 to 4 (from 9 months to 7 years), which are updated from the old/wide to a new/long format to match the format of data of sweeps 5 and 6 (age 11 and 14 sweeps). The old/wide formatted datasets contained one row per family with multiple variables for different respondents. The new/long formatted datasets contain one row per respondent (per parent or per cohort member) for each MCS family. Additional updates have been made to all sweeps to harmonise variable labels and enhance anonymisation.

    How to access genetic and/or bio-medical sample data from a range of longitudinal surveys:
    For information on how to access biomedical data from MCS that are not held at the UKDS, see the CLS Genetic data and biological samples webpage.

    Secure Access datasets:
    Secure Access versions of the MCS have more restrictive access conditions than versions available under the standard End User Licence or Special Licence (see 'Access data' tab above).

    Secure Access versions of the MCS include:

    • detailed sensitive variables not available under EUL. These have been grouped thematically and are held under SN 8753 (socio-economic, accommodation and occupational data), SN 8754 (self-reported health, behaviour and fertility), SN 8755 (demographics, language and religion) and SN 8756 (exact participation dates). These files replace previously available studies held under SNs 8456 and 8622-8627
    • detailed geographical identifier files which are grouped by sweep held under SN 7758 (MCS1), SN 7759 (MCS2), SN 7760 (MCS3), SN 7761 (MCS4), SN 7762 (MCS5 2001 Census Boundaries), SN 7763 (MCS5 2011 Census Boundaries), SN 8231 (MCS6 2001 Census Boundaries), SN 8232 (MCS6 2011 Census Boundaries), SN 8757 (MCS7), SN 8758 (MCS7 2001 Census Boundaries) and SN 8759 (MCS7 2011 Census Boundaries). These files replace previously available files grouped by geography SN 7049 (Ward level), SN 7050 (Lower Super Output Area level), and SN 7051 (Output Area level)
    • linked education administrative datasets for Key Stages 1, 2, 4 and 5 held under SN 8481 (England). This replaces previously available datasets for Key Stage 1 (SN 6862) and Key Stage 2 (SN 7712)
    • linked education administrative datasets for Key Stage 1 held under SN 7414 (Scotland)
    • linked education administrative dataset for Key Stages 1, 2, 3 and 4 under SN 9085 (Wales)
    • linked NHS Patient Episode Database for Wales (PEDW) for MCS1 – MCS5 held under SN 8302
    • linked Scottish Medical Records data held under SNs 8709, 8710, 8711, 8712, 8713 and 8714;
    • Banded Distances to English Grammar Schools for MCS5 held under SN 8394
    • linked Health Administrative Datasets (Hospital Episode Statistics) for England for years 2000-2019 held under SN 9030
    • linked Hospital of Birth data held under SN 5724.

    The linked education administrative datasets held under SNs 8481,7414 and 9085 may be ordered alongside the MCS detailed geographical identifier files only if sufficient justification is provided in the application.

    Researchers applying for access to the Secure Access MCS datasets should indicate on their ESRC Accredited Researcher application form the EUL dataset(s) that they also wish to access (selected from the MCS Series Access web page).

    International Data Access Network (IDAN)
    These data are now available to researchers based outside the UK. Selected UKDS SecureLab/controlled datasets from the Institute for Social and Economic Research (ISER) and the Centre for Longitudinal Studies (CLS) have been made available under the International Data Access Network (IDAN) scheme, via a Safe Room access point at one of the UKDS IDAN partners. Prospective users should read the UKDS SecureLab application guide for non-ONS data for researchers outside of the UK via Safe Room Remote Desktop Access. Further details about the IDAN scheme can be found on the UKDS International Data Access Network webpage and on the IDAN website.

  • E

    The UK Lakes database: spatial data and attributes for 40000 lakes and lake...

    • catalogue.ceh.ac.uk
    Updated Jan 1, 2014
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    NERC EDS Environmental Information Data Centre (2014). The UK Lakes database: spatial data and attributes for 40000 lakes and lake catchments across the UK [Dataset]. https://catalogue.ceh.ac.uk/documents/12c031cf-322d-42da-bfc5-6cf0aae8ce77
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    Dataset updated
    Jan 1, 2014
    Dataset provided by
    NERC EDS Environmental Information Data Centre
    Area covered
    Description

    The UK Lakes database contains data for over 40,000 lakes and ponds in the UK. It includes information on lake size, volume, depth, water chemistry, typology, geology, habitats, land cover and hydrological catchments, amongst many others areas. The database was initially compiled in 2004 and has been accumulating data since, becoming the main resource for lake data in the UK. The database is accompanied by spatial data of lake outlines (originally from OS PANORAMA) and catchments for all lakes over 1 hectare (delineated from a 50m flow grid). Data has been compiled from a number of different sources, from individuals to universities and research institutions.

  • Young people's earnings progression and geographic mobility, England and...

    • ons.gov.uk
    • cy.ons.gov.uk
    xls
    Updated Oct 23, 2018
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    Office for National Statistics (2018). Young people's earnings progression and geographic mobility, England and Wales [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/personalandhouseholdfinances/incomeandwealth/datasets/youngpeoplesearningsprogressionandgeographicmobilityenglandandwales
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Oct 23, 2018
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    England, Wales
    Description

    Supporting dataset using data from Census, Pay As You Earn (PAYE) and National Benefits Database. Tables contain data on earnings progression and geographic mobility from tax year ending 2012 to tax year ending 2016, broken down by characteristics such as age, sex, ethnicity, qualification level and local authority. The dataset also includes regression model output tables.

  • Understanding towns in England and Wales: spatial analysis

    • cy.ons.gov.uk
    • ons.gov.uk
    xlsx
    Updated Dec 7, 2020
    + more versions
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    Office for National Statistics (2020). Understanding towns in England and Wales: spatial analysis [Dataset]. https://cy.ons.gov.uk/peoplepopulationandcommunity/populationandmigration/populationestimates/datasets/understandingtownsinenglandandwalesspatialanalysis
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Dec 7, 2020
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    Wales
    Description

    Towns in England and Wales: towns list, classification, population and employment data.

  • d

    Market Research Data | Global Map data | Geographic data | Address and Zip...

    • datarade.ai
    .csv
    Updated Oct 19, 2024
    + more versions
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    GeoPostcodes (2024). Market Research Data | Global Map data | Geographic data | Address and Zip Code Database | Geocoded [Dataset]. https://datarade.ai/data-products/geopostcodes-market-research-data-map-data-geographic-dat-geopostcodes
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    .csvAvailable download formats
    Dataset updated
    Oct 19, 2024
    Dataset authored and provided by
    GeoPostcodes
    Area covered
    Saint Barthélemy, Poland, Papua New Guinea, South Sudan, Christmas Island, Monaco, Korea (Democratic People's Republic of), Slovenia, Sierra Leone, Tokelau
    Description

    A global self-hosted Market Research dataset containing all administrative divisions, cities, addresses, and zip codes for 247 countries. All geospatial data is updated weekly to maintain the highest data quality, including challenging countries such as China, Brazil, Russia, and the United Kingdom.

    Use cases for the Global Zip Code Database (Market Research data)

    • Address capture and validation

    • Map and visualization

    • Reporting and Business Intelligence (BI)

    • Master Data Mangement

    • Logistics and Supply Chain Management

    • Sales and Marketing

    Data export methodology

    Our map data packages are offered in variable formats, including .csv. All geographic data are optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more.

    Product Features

    • Fully and accurately geocoded

    • Administrative areas with a level range of 0-4

    • Multi-language support including address names in local and foreign languages

    • Comprehensive city definitions across countries

    For additional insights, you can combine the map data with:

    • UNLOCODE and IATA codes

    • Time zones and Daylight Saving Times

    Why do companies choose our Market Research databases

    • Enterprise-grade service

    • Reduce integration time and cost by 30%

    • Weekly updates for the highest quality

    Note: Custom geographic data packages are available. Please submit a request via the above contact button for more details.

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    Office for National Statistics (2025). Crime Survey for England and Wales, 2011-2020: Secure Access, Low-Level Geographic Data [Dataset]. http://doi.org/10.5255/UKDA-SN-7311-8

    Crime Survey for England and Wales, 2011-2020: Secure Access, Low-Level Geographic Data

    Explore at:
    9 scholarly articles cite this dataset (View in Google Scholar)
    Dataset updated
    May 16, 2025
    Authors
    Office for National Statistics
    Time period covered
    Apr 1, 2011 - Mar 31, 2020
    Area covered
    England and Wales
    Variables measured
    Individuals, Administrative units (geographical/political), National
    Measurement technique
    Compilation/Synthesis
    Description

    Abstract copyright UK Data Service and data collection copyright owner.

    Background:
    The Crime Survey for England and Wales (CSEW), previously known as the British Crime Survey (BCS), has been in existence since 1981. The survey traditionally asks a sole randomly selected adult, in a random sample of households, details pertaining to any instances where they, or the household, has been a victim of a crime in the previous 12 months. These are recorded in the victim form data file (VF). A wide range of questions are then asked covering demographics and crime-related subjects such as attitudes to the police and the criminal justice system (CJS). Most of the questionnaire is completed in a face-to-face interview in the respondent's home; these variables are contained within the non-victim form (NVF) data file. Since 2009, the survey has been extended to children aged 10-15 years old; one resident of that age range has also been selected at random from the household and asked about incidents where they have been a victim of crime, and other related topics. The first set of children's data, covering January-December 2009, had experimental status, and is held separately under SN 6601. From 2009-2010, the children's data cover the same period as the adult data and are included with the main dataset. Further information may be found on the ONS Crime Survey for England and Wales web page and for the previous BCS, from the GOV.UK BCS Methodology web page.

    Self-completion data:
    A series of questions on drinking behaviour, drug use and intimate personal violence (including stalking and sexual victimisation) are administered to adults via a self-completion module which the respondent completes on a laptop computer. Children aged 10-15 years also complete a separate self-completion questionnaire. The questions are contained within the main questionnaire documents, but the data are not available with the main survey; they are available only under Secure Access conditions. Lower-level geographic variables are also available under Secure Access conditions to match to the survey.

    History:
    Up to 2001, the survey was conducted biennially. From April 2001, interviewing was carried out continually and reported on in financial year cycles and the crime reference period was altered to accommodate this change. The core sample size has increased from around 11,000 in the earlier cycles to over 40,000. Following the National Statistician's Review of Crime Statistics in June 2011 the collation and publication of Crime Statistics moved to the Office for National Statistics (ONS) from 1st April 2012, and the survey changed its name to the Crime Survey for England and Wales (CSEW) accordingly.

    Scottish data:
    The 1982 and 1988 BCS waves were also conducted in Scotland. The England and Wales data for 1982 and 1988 are held at the UKDA under SNs 1869 and 2706, but the Scottish data for these studies are held separately under SNs 4368 and 4599. Since 1993, separate Scottish Crime and Justice Surveys have been conducted, see the series web page for more details.

    New methodology for capping the number of incidents from 2017-18
    The CSEW datasets available from 2017-18 onward are based upon a new methodology of capping the number of incidents at the 98th percentile. Incidence variables names have remained consistent with previously supplied data but due to the fact they are based on the new 98th percentile cap, and old data sets are not, comparability has been lost with previous years. More information can be found in the 2017-18 User Guide and the article ‘Improving victimisation estimates derived from the Crime Survey for England and Wales’. ONS intend to publish all micro data back to 1981 with incident data based on the 98th percentile cap later in 2019.

    Documentation:
    Please see the documentation for the main Secure Access CSEW survey held under SN 7280.

    Latest edition information:
    For the eighth edition (August 2021), the CSEW 2019-20 geographic data have been added to the study.

    Main Topics:

    The following geographic variables are included:
  • Super Output Areas (Lower Layer)
  • Super Output Areas (Middle Layer)
  • Basic Command Units (included only in the data file for 2011/12)
  • Community Safety Partnerships (included only in the data files for 2011/12 and 2012/13)

    Prospective users should also order the main Crime Survey for England and Wales held under SN 7252 (2011-2012), SN 7422 (2012-2013), SN 7619 (2013-2014), SN 7889 (2014-2015), SN 8140 (2015-2016), SN 8321 (2016-2017), SN 8464 (2017-2018), SN 8608 (2008-2019) and SN 8812 (2019-2020) (End User Licence) or SN 7280 (Secure Access).
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