As of the July 2021 basemap update, the raster basemaps (OS Open Carto, Background, Greyscale and Greyscale Labels) have now entered Mature Support. These four services will no longer be updated but will remain available to use for the foreseeable future. We encourage users to switch to the new GB Vector Basemaps. Read more in our blog.The OS Open 'Carto' base map is designed to be used as background mapping providing a seamless map view from small to large scales with a consistent cartographic representation. The sources of data are Ordnance Survey Vector Map District data for small and mid-scales and Open Map Local for larger scales. The currency of the data is; Vector Map District - 05/2021Open Map Local - 04/2021The coverage of the map service is GB. The map projection is British National Grid. The service is appropriate for viewing down to a scale of approximately 1:2,500. Updated: 17/07/2021

As of the July 2021 basemap update, the raster basemaps (OS Open Carto, Background, Greyscale and Greyscale Labels) have now entered Mature Support. These four services will no longer be updated but will remain available to use for the foreseeable future. We encourage users to switch to the new GB Vector Basemaps. Read more in our blog.The OS Open Greyscale map service is designed to be used as background mapping providing a seamless map view from small to large scales with a consistent cartographic representation. The sources of data are Ordnance Survey Vector Map District and Open Map Local. The currency of the data is; Vector Map District - 05/2021Open Map Local - 04/2021The coverage of the map service is GB. The map projection is British National Grid. The service is appropriate for viewing down to a scale of approximately 1:2,500 Updated: 17/07/2021

All organisations hold information about the core of their business. Forestry England holds information on trees and forests. We use this information to help us run our business and make decisions. The role of the Forest Inventory (the Sub-compartment Database (SCDB) and the stock maps) is to be our authoritative data source, giving us information for recording, monitoring, analysis and reporting. Through this it supports decision-making on the whole of the FE estate. Information from the Inventory is used by FE, wider government, industry and the public for economic, environmental and social forest-related decision-making. Furthermore, it supports forest-related national policy development and government initiatives, and helps us meet our national and international forest-related reporting responsibilities. Information on our current forest resource, and the future expansion and availability of wood products from our forests, is vital for planners both in and outside FE. It is used when looking at the development of processing industries, regional infrastructure, the effect upon communities of our actions, and to prepare and monitor government policies. The Inventory (SCDB and stock maps), with ‘Future Forest Structure’ and the ‘rollback’ functionality of Forester, will help provide a definitive measure of trends in extent, structure, composition, health, status, use, and management of all FE land holdings. We require this to meet national and international commitments, to report on the sustainable management of forests as well as to help us through the process of business and Forest Design Planning. As well as helping with the above, the SCDB helps us address detailed requests from industry, government, non-government organisations and the public for information on our estate. FE's growing national and international responsibilities and the requirements for monitoring and reporting on a range of forest statistics have highlighted the technical challenges we face in providing consistent, national level data. A well kept and managed SCDB and GIS (Geographical Information System - Forester) will provide the best solution for this and assist countries in evidence-based policy making. Looking ahead at international reporting commitments; one example of an area where requirements look set to increase will be reporting on our work to combat climate change and how our estate contributes to carbon sequestration. We have put in place processes to ensure that at least the basics of our inventory are covered: The inventory of forests; The land-uses; The land we own ( Deeds); The roads we manage. We depend on others to allow us to manage the forests and to provide us with funds and in doing so we need to be seen to be responsible and accountable for our actions. A foundation of achieving this is good record keeping. A subcompartment should be recognisable on the ground. It will be similar enough in land use, species or habitat composition, yield class, age, condition, thinning history etc. to be treated as a single unit. They will generally be contiguous in nature and will not be split by roads, rivers, open space etc. Distinct boundaries are required, and these will often change as crops are felled, thinned, replanted and resurveyed. In some parts of the country foresters used historical and topographical features to delineate subcompartment boundaries, such as hedges, walls and escarpments. In other areas no account of the history and topography of the site was taken, with field boundaries, hedges, walls, streams etc. being subsumed into the sub-compartment. Also, these features may or may not appear on the OS backdrop, again this was dependent on the staff involved and what they felt was relevant to the map. The main point is that, as managers we may find such obvious features in the middle of a subcompartment when nothing is indicated on the stock map, while the same thing would be indicated elsewhere. Attributes; FOREST Cost centre Nos. COMPTMENT Compartment Nos. SUBCOMPT Sub-compartment letter BLOCK Block nos. CULTCODE Cultivation Code CULTIVATN Cultivation PRIHABCODE Primary Habitat Code PRIHABITAT Primary Habitat PRILANDUSE Land Use of primary component PRISPECIES Primary component tree species PRI_PLYEAR prim. component year planted PRIPCTAREA Prim. component %Area of sub-compartment SECHABCODE Secondary Habitat Code SECHABITAT Secondary Habitat SECLANDUSE Land Use of secondary component SECSPECIES Secondary component tree species SEC_PLYEAR Secondary component year planted SECPCTAREA Secondary component %Area of sub-compartment TERLANDUSE Land Use of tertiary component TERSPECIES Tertiary component tree species TER_PLYEAR Tertiary component year planted TERPCTAREA Tertiary component %Area of sub-compartment TERHABITAT Tertiary Habitat TERHABCODE Tertiary Habitat Code. Any maps produced using this data should contain the following Forestry Commission acknowledgement: “Contains, or is based on, information supplied by the Forestry Commission. © Crown copyright and database right 2025 Ordnance Survey AC0000814847”. Attribution statement: © Forestry Commission copyright and/or database right 2025. All rights reserved. Contains OS data © Crown copyright and database right 2025.

All organisations hold information about the core of their business. The Forestry Commission holds information on trees and forests. We use this information to help us run our business and make decisions.

The role of the Forest Inventory (the Sub-compartment Database (SCDB) and the stock maps) is to be our authoritative data source, giving us information for recording, monitoring, analysis and reporting.

Through this it supports decision-making on the whole of the FC estate. Information from the Inventory is used by the FC, wider government, industry and the public for economic, environmental and social forest-related decision-making. Furthermore, it supports forestrelated national policy development and government initiatives, and helps us meet our national and international forest-related reporting responsibilities.

Information on our current forest resource, and the future expansion and availability of wood products from our forests, is vital for planners both in and outside the FC. It is used when looking at the development of processing industries, regional infrastructure, the effect upon communities of our actions, and to prepare and monitor government policies.

The Inventory (SCDB and stock maps), with ‘Future Forest Structure’ and the ‘rollback’ functionality of Forester, will help provide a definitive measure of trends in extent, structure, composition, health, status, use, and management of all FC land holdings. We require this to meet national and international commitments, to report on the sustainable management of forests as well as to help us through the process of business and Forest Design Planning. As well as helping with the above, the SCDB helps us address detailed requests from industry, government, non-government organisations and the public for information on our estate.

The FC’s growing national and international responsibilities and the requirements for monitoring and reporting on a range of forest statistics have highlighted the technical challenges we face in providing consistent, national level data. A well kept and managed SCDB and GIS (Geographical Information System - Forester) will provide the best solution for this and assist Countries in evidence-based policy making.

Looking ahead at international reporting commitments; one example of an area where requirements look set to increase will be reporting on our work to combat climate change and how our estate contributes to carbon sequestration. We have put in place processes to ensure that at least the basics of our inventory are covered:

1. The inventory of forests;
2. The land-uses;
3. The land we own ( Deeds);
4. The roads we manage.

We depend on others to allow us to manage the forests and to provide us with funds and in doing so we need to be seen to be responsible and accountable for our actions. A foundation of achieving this is good record keeping.

A sub compartment should be recognisable on the ground. It will be similar enough in land use, species or habitat composition, yield class, age, condition, thinning history etc. to be treated as a single unit. They will generally be contiguous in nature and will not be split by roads, rivers, open space etc. Distinct boundaries are required, and these will often change as crops are felled, thinned, replanted and resurveyed.

In some parts of the country foresters used historical and topographical features to delineate sub-compartment boundaries, such as hedges, walls and escarpments. In other areas no account of the history and topography of the site was taken, with field boundaries, hedges, walls, streams etc. being subsumed into the sub-compartment. Also, these features may or may not appear on the OS backdrop, again this was dependent on the staff involved and what they felt was relevant to the map. The main point is that, as managers we may find such obvious features in the middle of a sub-compartment when nothing is indicated on the stock map, while the same thing would be indicated elsewhere.

Attributes;

FOREST Cost centre Nos. COMPTMENT Compartemnt Nos. SUBCOMPT Sub-compartment letter SUBCOMPTID Unique identifier BLOCK Block nos. CULTCODE Cultivation Code CULTIVATN Cultivation PRIHABCODE Primary Habitat Code PRIHABITAT Primary Habitat PRILANDUSE Land Use of primary component PRISPECIES Primary component tree species PRI_PLYEAR prim. component year planted PRIPCTAREA Prim. component %Area of sub-compartment SECHABCODE Secondary Habitat Code SECHABITAT Secondary Habitat SECLANDUSE Land Use of secondary component SECSPECIES Secondary component tree species SEC_PLYEAR Secondary component year planted SECPCTAREA Secondary component %Area of sub-compartment TERLANDUSE Land Use of tertiary component TERSPECIES Tertiary component tree species TER_PLYEAR Tertiary component year planted TERPCTAREA Tertiary component %Area of sub-compartment TERHABITAT Tertiary Habitat TERHABCODE Tertiary Habitat Code

Any maps produced using this data should contain the following Forestry Commission acknowledgement: “Contains, or is based on, information supplied by the Forestry Commission. © Crown copyright and database right [Year] Ordnance Survey [100021242]”. Attribution statement: Contains OS data © Crown copyright [and database right] [year].

This dataset consists of an interactive map (and supporting guidance) containing background information that informs how we understand flood risk across the South East River Basin District. The map shows the River Basin District, component river basins and the coastline together with layers showing land use and topography.

This dataset together with equivalent datasets for each River Basin District, supports the Preliminary Flood Risk Assessment for England report which has been written to meet the requirements of the Flood Risk Regulations (2009) - to complete an assessment of flood risk and produce supporting maps of river catchments. Attribution statement: © Environment Agency copyright and/or database right 2018. All rights reserved. © Crown copyright and database rights 2018 Ordnance Survey 100024198 © Bluesky International Ltd/Getmapping PLC. Some features of this map are based on digital spatial data from the Centre for Ecology & Hydrology, British Antarctic Survey and British Geological Survey. © NERC (Centre for Ecology & Hydrology; British Antarctic Survey; British Geological Survey).
Contains public sector information licensed under the Open Government Licence v3.0.

This file contains the digital vector boundaries for Nomenclature of Territorial Units for Statistics Level 1, in the United Kingdom, as at January 2018.

NUTS areas in England and Wales are unchanged but there are changes in Scotland (at NUTS2) and in Northern Ireland (NUTS3). In Scotland a fifth NUTS2 area has been created (Southern Scotland), while in Northen Ireland the new NUTS3 areas will now match the 11 local government districts.

• Full resolution - 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);
  
• Full resolution - clipped to the coastline (Mean High Water mark);
  
• Generalised (20m) - clipped to the coastline (Mean High Water mark);
  
• Super generalised (200m) - clipped to the coastline (Mean High Water mark) and
  
• Ultra generalised (500m) - clipped to the coastline (Mean High Water mark).
  

Contains both Ordnance Survey and ONS Intellectual Property Rights.

Download File Sizes

• Full resolution - extent of the realm (30 MB)
• Full resolution - clipped to the coastline (34 MB)
• Generalised (20m) - clipped to the coastline (3 MB)
• Super generalised (200m) - clipped to the coastline (648 KB)
• Ultra generalised (500m) - clipped to the coastline (263 KB).

REST URL of ArcGIS for INSPIRE View Service – https://ons-inspire.esriuk.com/arcgis/rest/services/Eurostat_Boundaries/NUTS_Level_1_January_2018_Boundaries/MapServer/exts/InspireView

REST URL of ArcGIS for INSPIRE Feature Download Service – https://ons-inspire.esriuk.com/arcgis/rest/services/Eurostat_Boundaries/NUTS_Level_1_January_2018_Boundaries/MapServer/exts/InspireFeatureDownload

REST URL of Feature Service (use these URLs in maps, where you can view pop-up information and change the styling) - https://ons-inspire.esriuk.com/arcgis/rest/services/Eurostat_Boundaries/NUTS_Level_1_January_2018_Boundaries/FeatureServer

This file contains the digital vector boundaries for Counties and Unitary Authorities in England and Wales as at April 2019. The boundaries available are:

• (BUC) Ultra generalised (500m) - clipped to the coastline (Mean High Water mark).
  

Contains both Ordnance Survey and ONS Intellectual Property Rights.

Download File Sizes

• Ultra generalised (500m) - clipped to the coastline (120 KB)
  

REST URL of ArcGIS for INSPIRE View Service – https://ons-inspire.esriuk.com/arcgis/rest/services/Administrative_Boundaries/Counties_and_Unitary_Authorities_April_2019_Boundaries_GB_BUC/MapServer/exts/InspireView

REST URL of ArcGIS for INSPIRE Feature Download Service – https://ons-inspire.esriuk.com/arcgis/rest/services/Administrative_Boundaries/Counties_and_Unitary_Authorities_April_2019_Boundaries_GB_BUC/MapServer/exts/InspireFeatureDownload

REST URL of Feature Access Service – https://ons-inspire.esriuk.com/arcgis/rest/services/Administrative_Boundaries/Counties_and_Unitary_Authorities_April_2019_Boundaries_GB_BUC/FeatureServer

Data containing the Output Areas and Output Areas to higher geographies within Glasgow City Council based on the 2011 Census aggregates. It shows a output area codes for Glasgow and a lookup of postcode to output area, data zone, intermediate geography, electoral ward code and other higher geographies with their corresponding Easting and Northing. Output Areas are the main building bricks for census areas. They are derived from aggregating a small number of neighbouring postcodes although in few cases, some postcodes are large enough to become single output areas. Output Areas will aggregate exactly to council areas but not necessarily to other higher geographies. Glasgow City Council Area Code used in the 2011 census is S12000046. For a more detailed report on the classification of Output areas used in the 2011 census, please click here. Data extracted 2013-11-13T11:12:42 Contains NRS data (c) Crown copyright 2013. Contains Ordnance Survey data (c) Crown copyright 2013. Licence: None output-area.zip - https://dataservices.open.glasgow.gov.uk/Download/Organisation/cb95330b-d7c0-472b-b3a7-a1b520bffd18/Dataset/39016946-3b63-448e-931e-04ead35a138f/File/3cc12f2d-513d-4176-a19c-0e4121507b47/Version/d169dac5-8b3e-498f-8b6b-9aa849dfdd6f output-areas-to-higher-areas.zip - https://dataservices.open.glasgow.gov.uk/Download/Organisation/cb95330b-d7c0-472b-b3a7-a1b520bffd18/Dataset/39016946-3b63-448e-931e-04ead35a138f/File/cb26c01d-c177-44dc-89cc-7446fad75817/Version/e5637660-4c0a-4850-8372-0e9229a13bbe output-areas-to-higher-areas.geojson - https://dataservices.open.glasgow.gov.uk/Download/Organisation/cb95330b-d7c0-472b-b3a7-a1b520bffd18/Dataset/39016946-3b63-448e-931e-04ead35a138f/File/f86e025e-750f-4e0e-a735-b21a0a8312ae/Version/7ed87d76-1907-4924-b664-6716a11a9621 glasgow-2011-output-area.geojson - https://dataservices.open.glasgow.gov.uk/Download/Organisation/cb95330b-d7c0-472b-b3a7-a1b520bffd18/Dataset/39016946-3b63-448e-931e-04ead35a138f/File/759cf6b9-95d8-4739-a2bc-f77d8cbc6a59/Version/8d51f7e6-347f-4a42-aef9-dce91b748e63

This dataset references directly NatureScot's Open Data Hub, the data is not hosted in Stirling's platform and, therefore, will be updated as soon as NatureScot releases any updates.Symbology for the layers published as per NatureScot.https://opendata.nature.scot/A more sophisticated classification was developed for woodlands in Scotland due to the nature of the available historical sources. IMPORTANT. For Scottish woods, the category Ancient comprises woods recorded as being of semi-natural origin on EITHER the 1750 Roy maps OR the 1st Edition Ordnance Survey maps of 1860. This is due a) to the likelihood of the latter having been omitted from the Roy maps and b) to render the Scottish classification compatible with that for England and Wales.

The Geological Survey of Northern Ireland (GSNI) and the British Geological Survey (BGS) completed a regional geochemical survey of Northern Ireland's soils, sediments and waters between 2004 and 2006.

Soil sampling of all of Northern Ireland was completed under the Tellus survey between 2004 and 2006. Soil samples were collected on a systematic basis from rural areas in most of the region, excluding only the major urban centres of Belfast and Bangor. Soils were also collected at a higher sampling density from the urban areas of Belfast, Bangor, Carrickfergus, Carryduff, Castlereagh, Greenisland, Holywood, Lisburn, Newtownabbey and Londonderry, although these urban results are not reported here.

In rural areas, samples were collected from alternate 1 km Irish national- grid squares. Site selection within each square was random, subject to the avoidance wherever possible of roads, tracks, railways, human habitation and other disturbed ground. At each site two composite samples of five auger flights were collected, each composite sample comprising approximately 750 g of unsieved material. Samples were collected using a hand auger with a 20 by 5 cm flight from a standard depth interval of 5–20 cm for designated ‘A’ samples, referred to subsequently as ‘surface soils’, and at 35–50 cm for designated ‘S’ samples (nominally the B horizon), referred to subsequently as ‘deep soils’. Some 6,862 regional soil sites were sampled (see supplementary map - soil locations) and analysed, resulting in an average regional sampling density of 1 site per 2 km2. Observations of soil colour, depth, clast lithology and abundance were recorded at site. The samples were classified into five textural groups (sand, sand-silt, silt, silt-clay and clay).

The methods used for urban soils were similar except that (1) the sample density was higher, at four sites per square kilometre; (2) the sample sites corresponded closely to a predefined grid and did not avoid areas of human influence. In addition, extra samples requiring special treatment were taken for the determination of selected organic constituents (Smyth, 2009: especially Appendix 1).

At each soil sample site, information on the location, site and catchment geology, contamination, land use, and other features required for data interpretation were entered onto field cards. The sample location was also plotted on a field copy of the 1:50 000 Ordnance Survey of Northern Ireland (OSNI) map.

Observations from field cards were entered into a digital Access2000™ database after undergoing a field quality control process (Lister et al, 2005). This involved checking that the correct codes had been recorded on field cards and that GPS coordinates recorded on the card matched those in the GPS unit for each site. Thus both a traditional paper archive of observations was maintained as well as the construction of a computerised database.

Soils were initially air-dried at the field-base prior to transport to the sample store where they were dried in a temperature controlled oven at 30°C for 2–3 days. At the end of each field campaign samples were checked against field sheets prior to packing for transport to the BGS laboratory for sample preparation. On arrival at the laboratory samples were checked against shipping lists prior to assigning laboratory batch numbers in the BGS UKAS Quality Assurance System. The A and S soils were prepared in the same manner in a trace-level sample preparation laboratory.

Samples were disaggregated prior to sieving to a <2 mm fraction using nylon mesh. Replicate samples were prepared by riffle splitting each of the duplicate samples. Soil pH and LOI was determined for every A surface soil sample. A representative 30 g (± 2 g) sub-sample was obtained by cone and quartering. This sub-sample was then milled in an agate ball mill at 300 rpm for 30 minutes.

Different analytical procedures were employed for the surface and deep soils. Pressed pellet production and XRF analysis were completed by laboratory on surface soils only. Sub-samples of milled soil were weighed and placed into tamper-evident plastic sample tubes. The XRF pressed pellet was prepared by adding an aliquot (3 g ±0.05 g) of two blended synthetic waxes comprising 90 % EMU 120 FD wax and 10 % Ceridust (both waxes are styrene based co-polymers) to 12 g (± 0.05 g) of milled material. This mixture was milled for 4 minutes at 300 rpm. On completion of the binder milling the prepared powders were placed into tamper evident plastic sample tubes for temporary storage prior to pellet preparation. Pellets (40 mm) were pressed using a calibrated Herzog semi-automatic pellet press at 25 kN.

Prior to analysis, concealed certified reference materials and secondary reference materials were inserted into the sample batches. XRF analysis of the A samples was undertaken at the BGS; ICP analysis of A and S samples at SGS Laboratories, Toronto; and fire-assay of S samples at SGS Laboratories, Toronto.

For the Tellus samples, Energy Dispersive Polarised X-Ray Fluorescence (ED(P)- XRF) spectrometers were used to analyse those elements for which the WD-XRF spectrometers were insufficiently sensitive. Certified Reference Material (CRM) standards were used to calibrate the instruments. The PANalytical software was used for spectral deconvolution and to fit calibration curves, applying matrix correction by internal ratio Compton correction method. The calibrations were validated by analysis of a wide range of RMs. The detectors were calibrated weekly. All backgrounds and peaks were corrected for instrument drift using two external ratio monitors, when required. Quality control was maintained by regular analysis of two glass monitor samples containing 47 elements at nominally 30 mg/ kg and 300 mg/kg. Results were presented as run charts for statistical analysis using statistical process control software (SPC).

The lower limits of detection are theoretical values for the concentration equivalent to three standard deviations (99.7 % confidence interval) above the background count rate for the analyte in an iron-rich alumino-silicate matrix. For silicate matrices the practical detection limits for most elements approach the theoretical values due to high instrumental stability. LLDs were calculated from a matrix blank and the ‘synthetic’ Pro-Trace standards.

Individual results are not reliable below the quoted lower limits, but reliable estimates of the average or typical values over an area may be obtained at lower levels of concentration; meaningful distribution patterns may thus be recognised for some elements at levels lower than the LLD.

The data are described in Young, Mike; Donald, Alex, eds. 2013 A guide to the Tellus data. Belfast, UK, Geological Survey of Northern Ireland, 233pp. available for free download from: http://nora.nerc.ac.uk/509171/

The Tellus survey was funded by the Department of Enterprise, Trade and Investment (DETI), now the Department for the Economy (DfE) in Northern Ireland and the INTERREG IVA programme of the European Union (EU) Regional Development Fund.

This file contains the digital vector boundaries for the Nomenclature of Territorial Units for Statistics level 3 (NUTS3) areas in England and Wales as at 1st January 2015. The boundaries available are:

As of the July 2021 basemap update, the raster basemaps (OS Open Carto, Background, Greyscale and Greyscale Labels) have now entered Mature Support. These four services will no longer be updated but will remain available to use for the foreseeable future. We encourage users to switch to the new GB Vector Basemaps. Read more in our blog.The OS Open 'Background' map service is designed to be used as background mapping providing a seamless map view from small to large scales with a consistent cartographic representation. The sources of data are Ordnance Survey Vector Map District data for small and mid-scales and Open Map Local for larger scales.The currency of the data is; Vector Map District - 05/2021 Open Map Local - 04/2021The coverage of the map service is GB. The map projection is British National Grid. The service is appropriate for viewing down to a scale of approximately 1:5,000. Updated: 17/07/2021

A Site of Special Scientific Interest (SSSI) is the land notified as an SSSI under the Wildlife and Countryside Act (1981), as amended. Sites notified under the 1949 Act only are not included in the Data set. SSSI are the finest sites for wildlife and natural features in England, supporting many characteristic, rare and endangered species, habitats and natural features. The data do not include "proposed" sites. Boundaries are generally mapped against Ordnance Survey MasterMap.

As of the July 2021 basemap update, the raster basemaps (OS Open Carto, Background, Greyscale and Greyscale Labels) have now entered Mature Support. These four services will no longer be updated but will remain available to use for the foreseeable future. We encourage users to switch to the new GB Vector Basemaps. Read more in our blog.The OS Open Greyscale map service is designed to be used as background mapping providing a seamless map view from small to large scales with a consistent cartographic representation.The sources of data are Ordnance Survey Vector Map District and Open Map Local. The currency of the data is; Vector Map District - 05/2021Open Map Local - 04/2021 The coverage of the map service is GB. The map projection is British National Grid. The service is appropriate for viewing down to a scale of approximately 1:5,000. Updated: 17/07/2021

As of the July 2021 basemap update, the raster basemaps (OS Open Carto, Background, Greyscale and Greyscale Labels) have now entered Mature Support. These four services will no longer be updated but will remain available to use for the foreseeable future. We encourage users to switch to the new GB Vector Basemaps. Read more in our blog.The OS Open 'Carto' base map is designed to be used as background mapping providing a seamless map view from small to large scales with a consistent cartographic representation. The sources of data are Ordnance Survey Vector Map District data for small and mid-scales and Open Map Local for larger scales. The currency of the data is; Vector Map District - 05/2021Open Map Local - 04/2021The coverage of the map service is GB. The map projection is British National Grid. The service is appropriate for viewing down to a scale of approximately 1:2,500. Updated: 17/07/2021

As of the July 2021 basemap update, the raster basemaps (OS Open Carto, Background, Greyscale and Greyscale Labels) have now entered Mature Support. These four services will no longer be updated but will remain available to use for the foreseeable future. We encourage users to switch to the new GB Vector Basemaps. Read more in our blog.The OS Open 'Background' map service is designed to be used as background mapping providing a seamless map view from small to large scales with a consistent cartographic representation. The sources of data are Ordnance Survey Vector Map District data for small and mid-scales and Open Map Local for larger scales.The currency of the data is; Vector Map District - 05/2021 Open Map Local - 04/2021The coverage of the map service is GB. The map projection is British National Grid. The service is appropriate for viewing down to a scale of approximately 1:5,000. Updated: 17/07/2021

Author:Buro HappoldCreation date:November 2024Date of source data harvest:March 2024Temporal coverage of source data:Up to March 2024Spatial Resolution:Lower Super Output Area (LSOA)Geometry:PolygonSource data URL:OS MasterMap Topography Layer | Data Products | OS (ordnancesurvey.co.uk)Data terms of use:- Dataset can be shared openly for reuse for non-commercial purposes, with appropriate attribution. Data contains Ordnance Survey mapping and is published under Ordnance Survey's 'presumption to publish'Data attribution:- Dataset created by Buro Happold as part of the CIEN & South London sub-regional LAEPs, 2024. - Contains OS data © Crown copyright and database right 2025 (0100032216 GLA).- Office for National Statistics licensed under Open Government Licence v3.0.Workflow Diagram:Available: pngComments:The data and analysis developed for the sub-regional LAEP was undertaken using data available at the time and will need to be refined for a full Phase 2 LAEP. Please check here for more detailed background on the data.Whilst every effort has been made to ensure the quality and accuracy of the data, the Greater London Authority is not responsible for any inaccuracies and/or mistakes in the information provided.

Author:Buro HappoldCreation date:November 2024Date of source data harvest:Multiple inputs - consult individual datasetsTemporal coverage of source data:Multiple inputs - consult individual datasetsSpatial Resolution:Lower Super Output Area (LSOA)Geometry:PolygonSource data URL:Multiple inputs - consult individual datasetsData terms of use:- Dataset can be shared openly for reuse for non-commercial purposes, with appropriate attribution. Data contains Ordnance Survey mapping and is published under Ordnance Survey's 'presumption to publish'.Data attribution:- Dataset created by Buro Happold as part of the CIEN & South London sub-regional LAEPs, 2024, contains data derived from multiple sources including: DfT, LOTI, ONS, OS and NEVIS. - Contains public sector information licensed under the Open Government Licence v3.0. - Contains OS data © Crown copyright and database right, 2025 (100032216 GLA).- Office for National Statistics licensed under Open Government Licence v3.0.Workflow Diagram:Available: pdfComments:The data and analysis developed for the sub-regional LAEP was undertaken using data available at the time and will need to be refined for a full Phase 2 LAEP. Please check here for more detailed background on the data.Whilst every effort has been made to ensure the quality and accuracy of the data, the Greater London Authority is not responsible for any inaccuracies and/or mistakes in the information provided.

Author:Buro HappoldCreation date:November 2024Date of source data harvest:Multiple inputsTemporal coverage of source data:Multiple inputsSpatial Resolution:Lower Super Output Area (LSOA)Geometry:PolygonSource data URL:MultipleData terms of use:Data freely available for download and reuse, with appropriate attribution.Data attribution:- Dataset created by Buro Happold as part of the CIEN & South London sub-regional LAEPs, 2024. Contains data derived from multiple sources including: Ordnance Survey; London Building Stock Models; and the Department for Levelling Up, Communities and Housing (See workflow diagrams for a full list).- Contains OS data © Crown copyright and database right 2025.- Office for National Statistics licensed under Open Government Licence v3.0.Workflow Diagram:Available: pngComments:The data and analysis developed for the sub-regional LAEP was undertaken using data available at the time and will need to be refined for a full Phase 2 LAEP. Please check here for more detailed background on the data.Whilst every effort has been made to ensure the quality and accuracy of the data, the Greater London Authority is not responsible for any inaccuracies and/or mistakes in the information provided.