United Kingdom GIS data
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Retirement Notice: This item is in mature support as of September 2025 and will retire in December 2027. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. United Kingdom Postcode District Boundaries provides a 2023 boundary with a total population count. The layer is designed to be used for mapping and analysis. It can be enriched with additional attributes using data enrichment tools in ArcGIS Online. The 2023 boundaries are provided by Michael Bauer Research GmbH. They are sourced from NISRA. These were published in March 2024. Other administrative boundaries for this country are also available: Country Countries Region PostcodeArea County District PostcodeSector LSOA CensusOutputArea
Retirement Notice: This item is in mature support as of September 2025 and will retire in December 2027. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. United Kingdom Region Boundaries provides a 2023 boundary with a total population count. The layer is designed to be used for mapping and analysis. It can be enriched with additional attributes using data enrichment tools in ArcGIS Online. The 2023 boundaries are provided by Michael Bauer Research GmbH. They are sourced from NISRA. These were published in March 2024. Other administrative boundaries for this country are also available: Country Countries PostcodeArea County District PostcodeDistrict PostcodeSector LSOA CensusOutputArea
Comprised of data pertaining to protected trees of the Group, Woodland, and Area Categories. The Group category is used where the group’s overall impact and quality merits protection. The Woodland Category is used to safeguard a woodland as a whole. The Area Category is used to protect individual trees dispersed over an area, and only protects those trees which were standing at the time the Order was made. The data includes the title and number of the Order, as well as including the feature reference on the map of the original Order, and as described within the first schedule of the Order.
Street Lights, commonly known as 'lamp-posts', can be found on almost all streets throughout the city. These are designed to make the streets safer for pedestrians and drivers.
Centre Island Posts are a grey steel poles with white strips horizontally up them with a flashing light on top. These can be found on a centre island between 2 bollards at points where pedestrians may cross. This is designed to warn drivers.
Investment Zones (IZs) were introduced by Government to catalyse the development of high-potential industry clusters. The policy is targeted towards areas that require levelling up to boost productivity and growth with Investment Zones designed to harness local sector strengths to increase inward investment and create jobs on designated sites. This layer displays sites within the North East Investment Zone that fall within Northumberland. For further information, please visit https://www.gov.uk/government/publications/maps-of-north-east-investment-zone-tax-sites and https://www.northeast-ca.gov.uk/projects/north-east-investment-zone.
Intermediate zones are a statistical geography that sit between data zones and local authorities, created for use with the Scottish Neighbourhood Statistics (SNS) programme (now known as statistics.gov.scot) and the wider public sector. Intermediate zones are used for the dissemination of statistics that are not suitable for release at the data zone level because of the sensitive nature of the statistic, or for reasons of reliability. Intermediate Zones were designed to meet constraints on population thresholds (2,500 - 6,000 household residents), to nest within local authorities (at the time of the Census), and to be built up from aggregates of data zones. Intermediate zones represent a relatively stable geography that can be used to analyse change over time, with changes only occurring after a Census. This dataset represents the intermediate zones that were created following the 2022 Census, with 1,334 intermediate zones covering the whole of Scotland.
Zebra Crossing Lights are a grey steel pole with white strips horizontally up it with a flashing light on top. These can be found on a centre island between 2 bollards at points where pedestrians may cross. This is designed to warn drivers.
Retirement Notice: This item is in mature support as of September 2025 and will retire in December 2027. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. United Kingdom LSOA Boundaries provides a 2023 boundary with a total population count. The layer is designed to be used for mapping and analysis. It can be enriched with additional attributes using data enrichment tools in ArcGIS Online. The 2023 boundaries are provided by Michael Bauer Research GmbH. They are sourced from NISRA. These were published in March 2024. Other administrative boundaries for this country are also available: Country Countries Region PostcodeArea County District PostcodeDistrict PostcodeSector CensusOutputArea
Land protected for a range of Environmental Improvements for Pedestrians and Cyclists within the City Centre. This dataset should be referenced alongside the Local Plan for Nottingham City and the Core Strategy which guides development in Nottingham City. Local plan documents located here: https://www.nottinghamcity.gov.uk/information-for-business/planning-and-building-control/planning-policy/the-local-plan-and-planning-policy/the-adopted-local-plan/
The Town and Country Planning (Brownfield Land Register) Regulations 2017 require us to prepare, maintain and publish a register of previously developed (brownfield) land. The 2025 Brownfield Land Register identifies 28 live sites which could potentially deliver a minimum of 815 dwellings.
uav imagery by mfl, acquired 2026-02-28 to 2026-02-28, 1.5 cm per pixel, published on OpenAerialMap.
The Government requires each local planning authority to maintain a register of previously developed (brownfield) land that is considered to be appropriate for housing. The Council’s current Brownfield Land Register (October 2025 update) identifies a total of 23 brownfield sites, which comprise approximately 95ha of housing land and could accommodate up to 1,866 dwellings. Site size ranges from 0.02 ha to 36.5 ha and include the former Biwaters site and part of the Avenue site.
A lidar-derived digital terrain model raster for Stepping Stones, published by the National Trust. Cell values represent ground elevation from the masked, merged terrain surface.
This dataset provides a digital boundary for Prime Agricultural Land (otherwise termed "best and most versatile") in Scotland based on an amalgamation of classes 1, 2 and 3.1 of the Land Capability for Agriculture (LCA) maps. The LCA classification is used to rank land on the basis of its potential productivity and cropping flexibility. This is determined by the extent to which the physical characteristics of the land (soil, climate and relief) impose long term restrictions on its use. The source LCA maps are available from the James Hutton Institute at both 1:250,000 (national coverage) and 1:50,000 (partial coverage) scales. This LCA Prime Land boundary has been produced from a hybrid version of the LCA classification which combines the 1:250,000 and 1:50,000 scale datasets. The hybrid dataset uses the more detailed 1:50,000 scale data where it exists in preference to the 1:250,000 scale data as it is seen as the definitive mapped assessment. The majority of prime land boundary is sourced from the 1:50,000 scale mapping, with that sourced from the 1:250,000 map limited to north-west of Montrose, Machrihanish, a small area adjacent to the Black Isle, west of Campbeltown and south of Jedburgh. This prime land dataset should be used in favour of previous versions which only referenced the 1:250,000 scale mapping. The LCA Prime Land boundary supports planners and agricultural officers in assessing cases made for development and determining priorities in relation to retaining areas of high quality agricultural land, i.e. that with a high capacity to produce food.
Parts of North East Derbyshire District that have been officially designated as smoke control zones.
Route of Nottingham's NET line 1, and the route for the 2nd phase of the NET line through Beeston and Clifton.
West Oxfordshire designated Conservation Areas. These are areas of special architectural or historic interest, which have a particular character or appearance worthy of preservation or enhancement. Additional attribute fields were added for Digital Planning use in December 2025.
Retirement Notice: This item is in mature support as of September 2025 and will retire in December 2027. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. United Kingdom Country Boundary provides a 2023 boundary with a total population count. The layer is designed to be used for mapping and analysis. It can be enriched with additional attributes using data enrichment tools in ArcGIS Online. The 2023 boundaries are provided by Michael Bauer Research GmbH. They are sourced from NISRA. These were published in March 2024. Other administrative boundaries for this country are also available: Countries Region PostcodeArea County District PostcodeDistrict PostcodeSector LSOA CensusOutputArea
Catchments for Nottingham City Infant, Junior and Primary Schools for applications relating to the 2024/25 academic year. This is the area around a school that can help to determine which children may be offered a place at that school. Please see the Nottingham City Council website for the latest information on coordinated school admission arrangements and application for places.
The Scottish Government's Urban Rural Classification provides a consistent way of defining urban and rural areas across Scotland. The classification is used to support policy development and the understanding of issues facing urban, rural and remote communities. It is based upon two main criteria: (i) population as defined by National Records of Scotland (NRS), and (ii) accessibility based on drive time analysis to differentiate between accessible and remote areas in Scotland. The classification can be analysed in a two, three, six or eight fold form. The two-fold classification simply distinguishes between urban and rural areas through two categories, urban and rural, while the three-fold classification splits the rural category between accessible and remote. Most commonly used is the 6-fold classification which distinguishes between urban, rural, and remote areas through six categories. The 8-fold classification further distinguishes between remote and very remote regions. The Classification is normally updated on a biennial basis, with the current dataset reflective of the year 2022. Data for previous versions are available for download in ESRI Shapefile format.
Defra Network WMS server provided by the Environment Agency. "Risk of Flooding from Rivers and the Sea (RoFRS) shows the chance of flooding from rivers and the sea taking into account the presence and condition of flood defences. It is our main way of communicating flood risk from rivers and sea to the public through our ‘Check Your Long Term Flood Risk’ service on gov.uk. While flood defences reduce the level of risk they do not completely remove it. For example, water can flow over the top of the defence, or they can fail in extreme weather conditions or if they are in poor condition. As a result, the RoFRS maps may show that there is risk to areas behind some flood defences. RoFRS is a probabilistic product, meaning that it shows the overall risk, rather than the risk associated with a specific event or scenario. This risk is displayed as one of four likelihood bandings: High - greater than or equal to 1 in 30 (3.3%) chance of flooding in any year Medium – Less than 1 in 30 (3.3%) but greater than or equal to 1 in 100 (1%) chance of flooding in any given year Low – Less than 1 in 100 (1%) but greater than or equal to 1 in 1000 (0.1%) chance of flooding in any given year Very low – less than 1 in 1000 (0.1%) chance of flooding in any given year NB. This is a complex dataset, with preview available only on certain zoom levels. The Web Mapping service has been set to 1:50 000 in the attribute. The services are set to be visible from the 1:50 000 scale range. There may be some variation, since end client software may interpret the request differently. RoFRS is created using a combination of local flood model information and national flood modelling. These are used to generate the probabilities of flood risk for each 2m grid square of land, with the aim of using the best available flood risk information in any one location. For particular areas, sections of a previous (50m resolution) RoFRS dataset have been retained and used. These are due to be replaced with new data in the future." - Defra Data Services Platform
uav imagery by Martin Reading, acquired 2026-03-20 to 2026-03-20, 5.0 cm per pixel, published on OpenAerialMap.
Location of planning applications in Nottingham City with information about application dates, proposals, and decisions. This data contains planning applications from the previous 10 years to the present date. This data shows the approximate extent of planning and other applications processed by the council and should be used alongside the Planning Applications Points dataset, as not every planning application is represented by a polygon. The dataset does not form part of the statutory register of applications, is not guaranteed to be complete and application extents may differ from actual application site boundaries. The plotted areas do not relate to land ownership and should not be used in boundary disputes. For actual site boundaries please refer to the relevant application plans at www.nottinghamcity.gov.uk/planningapplications If you're interested in a single planning application, you do not need to download this. Instead, search on Nottingham City Council's public access planning website. The 'CaseURL' field in the ncc_PlanningAplications.csv file contains a link to Nottingham City Council's planning applications public access pages where further information about each application (including a map) can be found. The URL field does not contain a value where: the application has been received but not yet validated, or where the application has been returned, or where the application has been withdrawn, or where the application was invalid on receipt, or where there was insufficient fee, or where no application was required.
Enterprise zones are areas of high growth potential where simpler planning and discounted business rates can be used to boost the local economy. Within Nottingham, the Boots Campus, Abbey Street/Leengate, and Nottingham Science Park have been designated as an Enterprise Zone. The Enterprise Zones should be referenced alongside the Local Plan for Nottingham City and the Core Strategy which guides development in Nottingham City. Local plan documents located here: https://www.nottinghamcity.gov.uk/information-for-business/planning-and-building-control/planning-policy/the-local-plan-and-planning-policy/the-adopted-local-plan/
Retirement Notice: This item is in mature support as of September 2025 and will retire in December 2027. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. United Kingdom District Boundaries provides a 2023 boundary with a total population count. The layer is designed to be used for mapping and analysis. It can be enriched with additional attributes using data enrichment tools in ArcGIS Online. The 2023 boundaries are provided by Michael Bauer Research GmbH. They are sourced from NISRA. These were published in March 2024. Other administrative boundaries for this country are also available: Country Countries Region PostcodeArea County PostcodeDistrict PostcodeSector LSOA CensusOutputArea
Data Zones are the key geography for the dissemination of small area statistics in Scotland and are widely used across the public sector. Composed of groups of Census Output Areas, Data Zones are large enough that statistics can be presented accurately without fear of disclosure and yet small enough that they can be used to represent communities. They are designed to have roughly standard populations of 500 to 1,000 household residents, nest within local authorities (at the time of the Census), and have compact shapes that respect physical boundaries where possible. When Data Zones were originally created for the 2001 Census, they were designed to contain households with similar social characteristics. Aggregations of Data Zones can be used to provide estimates for higher level geographies where official statistics might not otherwise be available. Data Zones also represent a relatively stable geography that can be used to analyse change over time, with changes only occurring after a Census. Following the update to Data Zones using 2022 Census data, there are now 7,392 Data Zones covering the whole of Scotland.
Environmentally Sensitive Areas (ESAs) were identified as areas of the countryside where the landscape, wildlife or historic interest is of national importance and where these environmental features can be affected by farming operations. Features such as hedges, walls, ditches, field barns, hay meadows, heather moorland and river valley grasslands have been created by traditional farming methods over hundreds of years and are highly valued, both for their scenic beauty and for the habitats they provide for plants and wildlife. The ESA Scheme was designed to promote agriculture practices which have helped create these distinctive landscapes and have contributed to the maintenance of wildlife habitats or historic features. Introduced in 1987, the scheme formed part of the Scottish Agri-Environment Programme which was required to meet UK Government obligations under the Common Agriculture Policy (CAP). The scheme allowed farmers and crofters within designated areas to have access to payments to sustain or adopt environmentally-friendly farming practices. Participation by farmers and crofters in the Scheme was voluntary. The scheme is no longer active and has been superseded by the Agri-Environment Climate Scheme (AECS) of the Scottish Rural Development Programme. It should be noted that ESAs are not a national landscape and/or nature conservation designation. ESAs have no planning status and therefore cannot be used as a reason for refusing planning applications.
Defra Network WMS server provided by the Environment Agency. Records began in 1946 when predecessor bodies to the Environment Agency started collecting detailed information about flooding incidents, although we may hold limited details about flooding incidents prior to this date. The absence of coverage by Recorded Flood Outlines for an area does not mean that the area has never flooded, only that we do not currently have records of flooding in this area. It is also possible that the pattern of flooding in this area has changed and that this area would now flood or not flood under different circumstances. The Recorded Flood Outlines take into account the presence of defences, structures, and other infrastructure where they existed at the time of flooding. It includes flood extents that may have been affected by overtopping, breaches or blockages. Any flood extents shown do not necessarily indicate that properties were flooded internally. A companion dataset Historic Flood Map contains a subset of these Recorded Flood Outlines which satisfy a certain criteria. More infromation available on: Defra Data Services Platform
This dataset contains administrative polygons grouped by country (admin-0) with the following subdivisions according to Who's On First placetypes: - macroregion (admin-1 including region) - region (admin-2 including state, province, department, governorate) - macrocounty (admin-3 including arrondissement) - county (admin-4 including prefecture, sub-prefecture, regency, canton, commune) - localadmin (admin-5 including municipality, local government area, unitary authority, commune, suburb) The dataset also contains human settlement points and polygons for: - localities (city, town, and village) - neighbourhoods (borough, macrohood, neighbourhood, microhood) The dataset covers activities carried out by Who's On First (WOF) since 2015. Global administrative boundaries and human settlements are aggregated and standardized from hundreds of sources and available with an open CC-BY license. Who's On First data is updated on an as-need basis for individual places with annual sprints focused on improving specific countries or placetypes. Please refer to the README.md file for complete data source metadata. Refer to our blog post for explanation of field names. Data corrections can be proposed using Write Field, an web app for making quick data edits. You’ll need a Github.com account to login and propose edits, which are then reviewed by the Who's On First community using the Github pull request process. Approved changes are available for download within 24-hours. Please contact WOF admin about bulk edits.
This dataset provides detailed information on road surfaces from OpenStreetMap (OSM), distinguishing between **paved** and **unpaved** roads across the region. Surface classification is derived using a hybrid deep learning approach. For methodological details, see: http://arxiv.org/abs/2410.19874 Recently, we also published a new country-level dataset based on PlanetScope satellite imagery with near-complete coverage of all arterial roads. It is available on HDX under the name United Kingdom of Great Britain and Northern Ireland **Planet** Road Surface. The corresponding paper is available at: https://arxiv.org/abs/2512.04092 Road Surface Statistics Approximately 1.2963 million km of roads are mapped in OSM in this region. Based on AI-derived estimates: - Paved roads: 0.3221 million km (24.8447%) - Unpaved roads: 0.1183 million km (9.1242%) About 0.856 million km (66.031%) of road surface information is missing in OSM. To reduce this gap, the Mapillary-derived road surface dataset provides an additional 0.0104 million km (1.2101%) of the missing surface information. Intended Use This dataset supports transportation planning, infrastructure analysis, climate emissions assessment, and GIS applications. AI Features - **pred_class**: Model-predicted surface class ("paved" or "unpaved") - **pred_label**: Binary label (0 = paved, 1 = unpaved) - **osm_surface_class**: Surface classification derived from OSM tags - **combined_surface_osm_priority**: Combined classification prioritizing OSM - **combined_surface_DL_priority**: Combined classification prioritizing DL prediction - **n_of_predictions_used**: Number of predictions used for estimation - **predicted_length**: Predicted length based on DL estimation (meters) - **DL_mean_timestamp**: Mean timestamp of predictions used OSM Attributes - **name** - **name:en** - **name:* (local language)** - **highway** - **surface** - **smoothness** - **width** - **lanes** - **oneway** - **bridge** - **layer** - **source** Urban Classification Attributes - **continent** - **country_iso_a2** - **urban** (0 = rural, 1 = urban) - **urban_area** - **osm_id** - **osm_type** Data Sources The dataset originates from OpenStreetMap (OSM) and is augmented with deep learning predictions based on Mapillary street-level imagery, combined with the GHSU Global Human Settlement Urban Layer 2019 and AFRICAPOLIS 2020 urban layer. More HeiGIT datasets: https://data.humdata.org/organization/heidelberg-institute-for-geoinformation-technology More information: https://heigit.org/ Contact: communications@heigit.org
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