Ordnance Survey ® OpenMap - Local Buildings are polygon features that represent a built entity that includes a roof. This is a generalized building and could be made up of an amalgamation of other buildings and structures.Ordnance Survey ® OpenMap - Local Important Buildings are polygon features that represent buildings that fall within the extent of a functional site across England, Wales and Scotland. Important Buildings are classified into a number of building themes such as: Attraction and Leisure - A feature that provides non-sporting leisure activities for the public. Includes Tourist Attractions.Air Transport - This theme includes all sites associated with movement of passengers and goods by air, or where aircraft take off and land. Includes Airport, Helicopter Station, Heliport.Cultural Facility - A feature that is deemed to be of particular interest to society. Includes Museum, Library, Art Gallery.Education facility - This theme includes a very broad group of sites with a common high level primary function of providing education (either state funded or by fees). Includes: Primary Education, Secondary Education, Higher or University Education, Further Education, Non State Secondary Education, Non State Primary Education, Special Needs Education.Emergency Services - Emergency services are organizations which ensure public safety and health by addressing different emergencies. Includes: Fire Station, Police Station.Medical Facility - This theme includes sites which focus on the provision of secondary medical care services. Includes: Medical Care Accommodation, Hospital, Hospice.Religious Building - A place where members of a religious group congregate for worship. Includes: Places of Worship (churches etc.)Retail - A feature that sells to the general public finished goods. Includes: Post OfficeRoad Transport - This theme includes: Bus Stations, Coach Stations, Road user services.Sports and Leisure Facility - A feature where many different sports can be played. Includes: Sports and Leisure CentreWater Transport - This theme includes sites involved in the transfer of passengers and or goods onto vessels for transport across water. Includes: Port consisting of Docks and Nautical Berthing, Vehicular Ferry Terminal, Passenger Ferry Terminal. With OS OpenMap - Local Buildings and Important Buildings you can: Understand your area in detail, including the location of key sites such as schools and hospitals.Share high-quality maps of development proposals to help interested parties to understand their extent and impact.Analyse data in relation to important public buildings, roads, railways, lines and more.Use in conjunction with other layers such as Functional Sites – an area or extent which represents a certain type of function or activity.Present accurate information consistently with other available open data products. For more information on OS OpenMap see their website: https://www.ordnancesurvey.co.uk/products/os-open-map-local The currency of the data is 10/2025

Two map files in ARC GIS PRO showing the main roads in England and Wales mapped by John Cary ca 1825

Explore the interactive maps showing the average delay and average speed on the Strategic Road Network and local ‘A’ roads in England, in 2022.

On the Strategic Road Network (SRN) for 2022, the average delay is estimated to be 9.3 seconds per vehicle per mile (spvpm), compared to free flow, a 9.4% increase on 2021 and a 2.1% decrease on 2019.

The average speed is estimated to be 58.1 mph, down 1.4% from 2021 and up 0.2% from 2019.

On local ‘A’ roads for 2022, the average delay was estimated to be 45.5 seconds per vehicle per mile compared to free flow, up 2.5% from 2021 and down 2.8% from 2019 (pre-coronavirus)

The average speed is estimated to be 23.7 mph, down 1.7% from 2021 and up 2.2% from 2019 (pre-coronavirus).

Average speeds in 2022 have stabilised towards similar trends observed before the effects of the coronavirus pandemic.

The outbreak of coronavirus (COVID-19) has had a marked impact on everyday life, including on congestion on the road network. As some of these data are affected by the coronavirus pandemic in the UK, caution should be taken when interpreting these statistics and comparing them with other time periods. Additional http://bit.ly/COVID_Congestion_Analysis">analysis on the impact of the coronavirus pandemic on road journeys in 2020 is also available. This Storymap contains charts and interactive maps for road journeys in England in 2020.

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An ARC GIS PRO shapefile mapping the turnpike roads in England and Wales for the 18th and early 19th century. The data includes details of the Turnpike Acts, years of operation, the quality of the road and the routes used by Mail coaches. The data forms the basis of the paper "Government, trusts, and the making of better roads in early nineteenth century England & Wales by Rosevear, Bogart & Shaw-Taylor.

This statistic shows the share of London visitors travelling more in the United Kingdom (UK) as of 2015, by source country. Visitors from the U.S. made up the largest share in this respect, at 32 percent, while visitors from Europe represented shares between 2 and 10 percent.

This dataset contains recreation demand maps for the UK based on weekly, monthly and yearly visit frequencies. Recreation includes activities such as walking, hiking, cycling, etc, i.e., ‘outdoor non-vehicular recreation’. Recreation demand was calculated as the number of projected visits for local recreation, estimated using the universal law of human mobility (Schläpfer et al., 2021, Nature). Recreation demand maps are supplied at 250 m resolution in a British National Grid transverse Mercator projection (EPSG 27700). For each visit frequency (weekly, monthly and yearly), there is a map with and without attractiveness included in the calculation, where protected areas are used a proxy for attractiveness. This research was funded by the Natural Environment Research Council (NERC) under research programme NE/W005050/1 AgZero+ : Towards sustainable, climate-neutral farming. AgZero+ is an initiative jointly supported by NERC and the Biotechnology and Biological Sciences Research Council (BBSRC). Full details about this dataset can be found at https://doi.org/10.5285/bd3bf607-a3b2-423b-b07b-9c41e84746ee

Living England is a multi-year project which delivers a broad habitat map for the whole of England, created using satellite imagery, field data records and other geospatial data in a machine learning framework. The Living England habitat map shows the extent and distribution of broad habitats across England aligned to the UKBAP classification, providing a valuable insight into our natural capital assets and helping to inform land management decisions. Living England is a project within Natural England, funded by and supports the Defra Natural Capital and Ecosystem Assessment (NCEA) Programme and Environmental Land Management (ELM) Schemes to provide an openly available national map of broad habitats across England.This dataset includes very complex geometry with a large number of features so it has a default viewing distance set to 1:80,000 (City in the map viewer).Process Description:A number of data layers are used to develop a ground dataset of habitat reference data, which are then used to inform a machine-learning model and spatial analyses to generate a map of the likely locations and distributions of habitats across England. The main source data layers underpinning the spatial framework and models are Sentinel-2 and Sentinel-1 satellite data from the ESA Copernicus programme, Lidar from the EA's national Lidar Programme and collected data through the project's national survey programme. Additional datasets informing the approach as detailed below and outlined in the accompanying technical user guide.Datasets used:OS MasterMap® Topography Layer; Geology aka BGS Bedrock Mapping 1:50k; Long Term Monitoring Network; Uplands Inventory; Coastal Dune Geomatics Mapping Ground Truthing; Crop Map of England (RPA) CROME; Lowland Heathland Survey; National Grassland Survey; National Plant Monitoring Scheme; NE field Unit Surveys; Northumberland Border Mires Survey; Sentinel-2 multispectral imagery; Sentinel-1 backscatter imagery; Sentinel-1 single look complex (SLC) imagery; National forest inventory (NFI); Cranfield NATMAP; Agri-Environment HLS Monitoring; Living England desktop validation; Priority Habitat Inventory; Space2 Eye Lens: Ainsdale NNR, State of the Bog Bowland Survey, State of the Bog Dark Peak Condition Survey, State of the Bog Manchester Metropolitan University (MMU) Mountain Hare Habitat Survey Dark Peak, State of the Bog; Moors for the Future Dark Peak Survey; West Pennines Designation NVC Survey; Wetland Annex 1 inventory; Soils-BGS Soil Parent Material; Met Office HadUK gridded climate product; Saltmarsh Extent and Zonation; EA LiDAR DSM & DTM; New Forest Mires Wetland Survey; New Forest Mires Wetland Survey; West Cumbria Mires Survey; England Peat Map Vegetation Surveys; NE protected sites monitoring; ERA5; OS Open Built-up Areas; OS Boundaries dataset; EA IHM (Integrated height model) DTM; OS VectorMap District; EA Coastal Flood Boundary: Extreme Sea Levels; AIMS Spatial Sea Defences; LIDAR Sand Dunes 2022; EA Coastal saltmarsh species surveys; Aerial Photography GB (APGB); NASA SRT (Shuttle Radar Topography Mission) M30; Provisional Agricultural Land Classification; Renewable Energy Planning Database (REPD); Open Street Map 2024.Attribute descriptions: Column Heading Full Name Format Description

SegID SegID Character (100) Unique Living England segment identifier. Format is LEZZZZ_BGZXX_YYYYYYY where Z = release year (2223 for this version), X = BGZ and Y = Unique 7-digit number

Prmry_H Primary_Habitat Date Primary Living England Habitat

Relblty Reliability
Character (12) Reliability Metric Score

Mdl_Hbs Model_Habs Interger List of likely habitats output by the Random Forest model.

Mdl_Prb Model_Probs Double (6,2) List of probabilities for habitats listed in ‘Model_Habs’, calculated by the Random Forest model.

Mixd_Sg Mixed_Segment Character (50) Indication of the likelihood a segment contains a mixture of dominant habitats. Either Unlikely or Probable.

Source Source

Description of how the habitat classification was derived. Options are: Random Forest; Vector OSMM Urban; Vector Classified OS Water; Vector EA saltmarsh; LE saltmarsh & QA; Vector RPA Crome, ALC grades 1-4; Vector LE Bare Ground Analysis; LE QA Adjusted

SorcRsn Source_Reason

Reasoning for habitat class adjustment if ‘Source’ equals ‘LE QA Adjusted’

Shap_Ar Shape_Area

Segment area (m2) Full metadata can be viewed on data.gov.uk.

Map of the CCG area boundaries. CCGs (Clinical Commissioning Groups) are the regional NHS bodies of England. Released 27 March 2013 Boundaries are generalised to 200 metres. The licence is OGL. Any maps using these files must be accompanied by the appropriate copyright notices: Contains National Statistics data (c) Crown copyright and database right 2012 Contains Ordnance Survey data (c) Crown copyright and database right 2012 Data is based on ONS boundary file for 2011 LSOAs "Super generalised (200m), clipped to the coastline". The original source file can be downloaded from here: http://www.ons.gov.uk/ons/guide-method/geography/products/census/spatial/2011/index.html

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The Forestry Commission has developed a series of sensitivity maps, based on nationally available and consistent datasets, to indicate where there are likely to be fewer sensitivities to woodland creation. These maps will help to indicate to landowners whether there is likely to be potential to establish new woodland on their land, and where there may be sensitivities that would preclude woodland creation. The maps do not indicate that, where there is a low sensitivity to new woodland being created, that planting will be agreed by the Forestry Commission, the regulator for woodland and forestry projects in England. However, the low sensitivity areas have fewest identified constraints to address, and it should be easier to agree creating new woodland here than in other areas. Likewise, creation of new woodland, particularly of native woodland, may be appropriate outside ‘low sensitivity’ areas, but the appropriateness of proposals in these areas will again be determined by the Forestry Commission, including through responding to the views of Natural England, Environment Agency, Historic England, the Local Authority and other stakeholders, where relevant. The Sensitivity Maps exclude all land that is unsuitable for planting, including urban areas, existing (and assumed) woodland and habitats that are considered too wet, too rocky, and too salty to support the growth of trees. This is achieved through restricting the Sensitivity Maps to the following land covers, based on the most recent update of Landcover Map: Acid grassland Arable and horticulture Calcareous grassland Heather Heather grassland Improved grassland Neutral grassland The spatial datasets and individual layers of those datasets that define land as unsuitable and low, medium, or high sensitivity for woodland creation in the Full Sensitivity Map version 3.0, the Low Sensitivity Map and their variants are set out in the document here: www.gov.uk/guidance/a-guide-to-forestry-commissions-sensitivity-maps-for-woodland-creation Attributes: ‘Sensitivity’ = the sensitivity to woodland creation level the land has been assigned. ‘Area (Hectares)’ = the area in hectares of the polygon. Lineage: This is version 3.0 of these layers, having gone through several iterations where new data inputs were added and changes made to how these were treated as sensitivities for woodland creation. These are the first versions of the layers to be published as Open Data.

This updated guide is a simple tour of the UK geographical areas used in National Statistics work. You can use it to get basic facts on each type of area as well as more specialist information.

The Forestry Commission has developed a series of sensitivity maps, based on nationally available and consistent datasets, to indicate where there are likely to be fewer sensitivities to woodland creation. These maps will help to indicate to landowners whether there is likely to be potential to establish new woodland on their land, and where there may be sensitivities that would preclude woodland creation. The maps do not indicate that, where there is a low sensitivity to new woodland being created, that planting will be agreed by the Forestry Commission, the regulator for woodland and forestry projects in England. However, the low sensitivity areas have fewest identified constraints to address, and it should be easier to agree creating new woodland here than in other areas. Likewise, creation of new woodland, particularly of native woodland, may be appropriate outside ‘low sensitivity’ areas, but the appropriateness of proposals in these areas will again be determined by the Forestry Commission, including through responding to the views of Natural England, Environment Agency, Historic England, the Local Authority and other stakeholders, where relevant. The Sensitivity Maps exclude all land that is unsuitable for planting, including urban areas, existing (and assumed) woodland and habitats that are considered too wet, too rocky, and too salty to support the growth of trees. This is achieved through restricting the Sensitivity Maps to the following land covers, based on the most recent update of Landcover Map: Acid grassland Arable and horticulture Calcareous grassland Heather Heather grassland Improved grassland Neutral grassland The spatial datasets and individual layers of those datasets that define land as unsuitable and low, medium, or high sensitivity for woodland creation in the Full Sensitivity Map version 3.0, the Low Sensitivity Map and their variants are set out in the document here: www.gov.uk/guidance/a-guide-to-forestry-commissions-sensitivity-maps-for-woodland-creation Attributes: ‘Sensitivity’ = the sensitivity to woodland creation level the land has been assigned. ‘Area (Hectares)’ = the area in hectares of the polygon. Lineage: This is version 3.0 of these layers, having gone through several iterations where new data inputs were added and changes made to how these were treated as sensitivities for woodland creation. These are the first versions of the layers to be published as Open Data.

This layer of the map based index (GeoIndex) shows the location of waste sites within England and Wales. The information is taken from an index listing of some 3500 waste sites in England and Wales identified by BGS as part of a survey carried out on behalf of the Department of the Environment in 1973. The index has been corrected and updated to a limited extent, but the data itself has not been changed. The data was collected in 1972 and the information reflects the knowledge at that time. It does not reflect current interpretation. Not all authorities made returns and there are not records for all of the sites listed. However, the data is an invaluable source of information about pre-1974 sites. The records themselves contain interpretations of the geology, ground and surface water risk assessments and information about the quantities and types of waste. Data visible at all map scales.

The Causeway Coast and Glens is an area of breathtaking beauty where the rugged coastline merges with a romantic landscape of deep, silent glens and lust forest parks and boasts three Areas of Outstanding Natural Beauty. It is a must see destination whether you're a local or come from further afield. The area features picturesque rural and fishing villages, bustling seaside resorts, golden, Blue Flag beaches and Northern Ireland's only UNESCO World Heritage Site at the Giant's Causeway. The Causeway Coast and Glens promises a warm welcome for visitors and an unforgettable experience.This story map showcases the most popular visitor attractions within Causeway Coast and Glens.To find out more visit - www.visitcausewaycoastandglens.com/

This statistic shows the distribution of travel reasons for London tourists travelling more in the United Kingdom (UK) in 2015. The majority of these London visitors were on holiday. 22 percent visited friends or relatives in London or other nations. Meanwhile, business reasons made up only a small share.