A PDF map that shows the health areas in England and Wales as at April 2021. The map shows the health geographies: clinical commissioning groups that became operative in England as at April 2021 and the local health boards that became operative in Wales as at April 2019. (File Size - 1,004 KB)

https://www.openstreetmap.org/images/osm_logo.png" alt="" /> OpenStreetMap (openstreetmap.org) is a global collaborative mapping project, which offers maps and map data released with an open license, encouraging free re-use and re-distribution. The data is created by a large community of volunteers who use a variety of simple on-the-ground surveying techniques, and wiki-syle editing tools to collaborate as they create the maps, in a process which is open to everyone. The project originated in London, and an active community of mappers and developers are based here. Mapping work in London is ongoing (and you can help!) but the coverage is already good enough for many uses.

Browse the map of London on OpenStreetMap.org

Downloads:

The whole of England updated daily:

• england.osm.bz2 ~185M - .osm formatted raw XML data (compressed)
• england.shp.zip ~156M - ESRI shapefiles

For more details of downloads available from OpenStreetMap, including downloading the whole planet, see 'planet.osm' on the wiki.

Data access APIs:

Download small areas of the map by bounding-box. For example this URL requests the data around Trafalgar Square:
http://api.openstreetmap.org/api/0.6/map?bbox=-0.13062,51.5065,-0.12557,51.50969

Data filtered by "tag". For example this URL returns all elements in London tagged shop=supermarket:
http://www.informationfreeway.org/api/0.6/*[shop=supermarket][bbox=-0.48,51.30,0.21,51.70]

The .osm format

The format of the data is a raw XML represention of all the elements making up the map. OpenStreetMap is composed of interconnected "nodes" and "ways" (and sometimes "relations") each with a set of name=value pairs called "tags". These classify and describe properties of the elements, and ultimately influence how they get drawn on the map. To understand more about tags, and different ways of working with this data format refer to the following pages on the OpenStreetMap wiki.

• .osm - About the raw XML data format of OpenStreetMap
• Downloading data - More details of the API and extract download options
• Xapi - The extended api for filtering by tag
• Map Features - A list of tags, and what map features they represent
• Converting map data between formats - catalogue of tools for converting from .osm to other formats

Simple embedded maps

Rather than working with raw map data, you may prefer to embed maps from OpenStreetMap on your website with a simple bit of javascript. You can also present overlays of other data, in a manner very similar to working with google maps. In fact you can even use the google maps API to do this. See OSM on your own website for details and links to various javascript map libraries.

Help build the map!

The OpenStreetMap project aims to attract large numbers of contributors who all chip in a little bit to help build the map. Although the map editing tools take a little while to learn, they are designed to be as simple as possible, so that everyone can get involved. This project offers an exciting means of allowing local London communities to take ownership of their part of the map.

Read about how to Get Involved and see the London page for details of OpenStreetMap community events.

A PDF map showing the registration districts in England and Wales as at December 2014. (File Size - 3 MB)

A PDF map showing the output areas in the East of England Region of England as at December 2011. (File Size - 28 MB)

A PDF map showing the lower layer super output areas in the East of England Region of England as at December 2011. (File Size - 27 MB)

The dataset presented provides average per-farm ecosystem service (ES) values for each NUTS3 region for Europe for the year 2019. The modelled ES are: carbon sequestration [t C ha-1 yr-1], food production (standard economic output) [euros yr-1], and nutrient (nitrogen) export [kg N yr-1]. The data is stored in vector files (GeoPackage). The per-farm ES values were modelled for five sub-country case studies and upscaled for each NUTS3 region where sufficient evidence supported a successful transfer and upscaling. Note that the criteria for upscaling the carbon sequestration were not met for any NUTS3 region and therefore the carbon sequestration is returned as NULL for each region.

Data created 2018.UK-level hotspots maps for European shag based upon established techniques for deriving hotspots from density data for the purposes of delineating potential Marine Protected Areas (MPA) (Kober at al. 2010, 2012, O’Brien et al. 2012). The techniques used are Maximum Curvature and Getis-Ord analysis (see guidance notes). Using the outputs from Getis-Ord analyses we defined hotspots in three different ways, thus the total number of hotspots displayed is four (1 Maximum Curvature hotspot and 3 different Getis-Ord hotspots).

The full technical report describing the work is available here.

A PDF map showing the Public Health England Centres and Public Health England Regions in England as at December 2013. (File Size - 183 KB)

Statistics illustrates consumption, production, prices, and trade of Maps and hydrographic or similar charts; printed in book form, including atlases, topographical plans and similar in European Union (incl. the UK) from 2007 to 2024.

Statistics illustrates consumption, production, prices, and trade of Monoammonium Phosphate (MAP) in European Union (incl. the UK) from 2007 to 2024.

The Crop Map of England (CROME) is a polygon vector dataset mainly containing the crop types of England. The dataset contains approximately 32 million hexagonal cells classifying England into over 50 main crop types, grassland, and non-agricultural land covers, such as Trees, Water Bodies, Fallow Land and other non-agricultural land covers. The classification was created automatically using supervised classification (Random Forest Classification) from the combination of Sentinel-1 and Sentinel-2 images during the period late January 2017 – August 2017. The dataset was created to aid the classification of crop types from optical imagery, which can be affected by cloud cover. The results were checked against survey data collected by field inspectors and visually validated. Refer to the CROME specification document. Attribution statement:

Coal resource maps for the whole of the UK have been produced by the British Geological Survey as a result of joint work with Department of Trade and Industry and the Coal Authority. The Coal Resources Map is a Map of Britain depicting the spatial extent of the principal coal resources. The map shows the areas where coal and lignite are present at the surface and also where coal is buried at depth beneath younger rocks. The maps are intended to be used for resource development, energy policy, strategic planning, land-use planning, the indication of hazard in mined areas, environment assessment and as a teaching aid. In addition to a general map of coal resources for Britain data also exists for the six inset maps: Scotland; North-East; North-West; East Pennines; Lancashire, North Wales and the West Midlands; South Wales, Forest of Dean and Bristol. Available as a paper map, flat or folded, from BGS Sales or as a pdf on a CD if requested.

The Crop Map of England (CROME) is a polygon vector dataset mainly containing the crop types of England. The dataset contains approximately 32 million hexagonal cells classifying England into over 20 main crop types, grassland, and non-agricultural land covers, such as Woodland, Water Bodies, Fallow Land and other non-agricultural land covers. The classification was created automatically using supervised classification (Random Forest Classification) from the combination of Sentinel-1 Radar and Sentinel-2 Optical Satellite images during the period late January 2019 – September 2019. The dataset was created to aid the classification of crop types from optical imagery, which can be affected by cloud cover. The results were checked against survey data collected by field inspectors and visually validated. The data has been split into the Ordnance Survey Ceremonial Counties and each county is given a three letter code. Please refer to the CROME specification document to see which county each CODE label represents.

A PDF map showing the Rural Urban Classification (2011) of the MSOAs in the East of England Region. (File Size - 932 KB)

Migration in Europe in 2024 marks a return to normality after the extreme disruptions experienced in 2022. While in 2022 Ukraine saw the largest negative net migration balance, with almost 7 million of its citizens fleeing the eastern European country in the aftermath of Russia's invasion, in 2024 it is in fact the country with the largest positive net migration balance. Over 1.15 million Ukrainians have returned to their home country from abroad, leading Poland, Romania, and Hungary to have large net migration deficits, as they were key recipient countries for Ukrainians in 2022. The other countries which experienced large positive net migration balances in 2023 are all in western Europe, as the UK, the Netherlands, France, Italy, and Spain all remain popular destinations for migrants.

This project collected survey and interview data to study Eurochildren, their families and their experience and responses to Brexit. The project aims to portray the emergence of a new politics of belonging, which reconfigures discursively and legally who belongs to a post-EU Britain. It also aims to establish a baseline for future research on migration and settlement decision making in families with EU27 nationals following the formal exit of the European Union.

The UK has been a member of the European Union for 40 years. Throughout that time there has been intermingling of people and institutions which can be most clearly seen in the growing number of bi- and mixed-nationality EU families in the UK and their children, many of whom born in the UK and holding a British passport. This is a growing, and yet understudied and underreported, segment of the British society. In a post-EU referendum context, where the rhetoric about curbing EU immigration has permeated political, media, and popular discourses, producing a stark 'us and them' narrative, the question left unasked and unanswered is what are the human and emotional costs of this abrupt geopolitical shift if 'us and them' are the same? Through the study of Eurochildren and their families and their experience and responses to Brexit, the project aims to portrait the emergence of a new politics of belonging which reconfigures discursively and legally who belong to a post-EU Britain and establish a baseline for future research on migration and settlement decision making in families with EU27 nationals following the formal exit of the European Union. In order to do so, it will: 1) Profile and map the population of UK- and EU-born children of EU nationals in the UK and examine, at the aggregate level, different types of EU families and measure their socio-economic inclusion into British society. 2) Investigate how families with at least one EU27 member experience and respond to the process of exiting from the European Union and identify factors that shape such responses. 3) Examine the impact of the EU referendum and its aftermath on different age cohorts of UK-born Eurochildren, examining in particular how they articulate their sense of belonging and attitudes vis-a-vis the UK and the EU. With a team comprising academic experts in the fields of migration and integration, third sector collaborators and legal experts, and using a mixed methods approach, this project provide an empirically-rich and in-depth account of how EU families, often including both UK and EU passport holders and members with dual citizenship, experience and plan to respond to Brexit, a baseline from which to further analyse the process family migration decision making following the formal exit from the EU. The project involves three interconnected work packages (WP). WP1, which is of a quantitative nature, will analyse historical Census and Live Birth data in order to profile and geographically map EU families and their children. Different configurations of EU families, based on their demographic, geographical, and inclusion circumstances, will be established via this data and will inform the qualitative work in WP2 and 3 and our analysis of legal and policy implications of Brexit on this population. In WP2 focus groups and in-depth interviews will be conducted with EU families, as well as reflexive research, in order to explore questions of belonging within the context of the exit from the EU. In WP3, interview with UK-born adult Eurochildren and EU-born parents of Eurochildren will be conducted in order to bring to the fore the ways in which children experience migration decision-making and belonging. This mixed methods study will generate ground-breaking new data on EU families and their EU and UK-born children in the UK, contributing to the strategic, political and policy responses of UK and EU policy makers and to a more informed public debate on the consequences of Brexit on UK and EU citizens alike. The project includes a strategy set to maximise dissemination and impact. This will be done via: producing robust, composite and promptly accessible evidence (journal articles, blogs, briefings, media and online materials); engaging from the outset with a wide network of researchers, policy makers and practitioners; and using tailored dissemination channels to reach out to relevant audiences.

The Crop Map of England (CROME) South East is a polygon vector dataset mainly containing the crop types of England. The dataset contains approximately 32 million hexagonal cells classifying England into over 20 main crop types, grassland, and non-agricultural land covers, such as Woodland, Water Bodies, Fallow Land and other non-agricultural land covers. The classification was created automatically using supervised classification (Random Forest Classification) from the combination of Sentinel-1 and Sentinel-2 images during the period late January 2016 – August 2016. The dataset was created to aid the classification of crop types from optical imagery, which can be affected by cloud cover. The results were checked against survey data collected by field inspectors and visually validated. refer to the CROME specification document Attribution statement:

Digitised versions of a set of 1:100,000 scale maps of aquifer vulnerability for England and Wales. The dataset identifies the vulnerability to pollution of major and minor aquifers as defined by the Environment Agency, utilising a combination of geological, hydrogeological and soils data. The maps are designed to be used by planners, developers, consultants and regulatory bodies to ensure that developments conform to the Policy and Practice of the Environment Agency for the protection of Groundwater. Please note that these maps are based on data from the late 1980's and early 1990's, more up-to-date digital data may now be available from the Environment Agency. Flat maps may be purchased from the BGS, some sheets are now out of print.

This dataset is the Corine Land Cover (CLC) change map between 2012 and 2018, consisting of 44 classes in the hierarchical three level Corine nomenclature. The Corine land cover changes between 2012 and 2018 for the UK, Isle of Man, Jersey and Guernsey dataset forms part of the Corine Land Cover Maps collection and is produced within the frame of the Copernicus programme on land monitoring. Corine Land Cover (CLC) provides consistent information on land cover and land cover changes across Europe; this change map is the UK component of the European coverage. This inventory was initiated in 1985 (reference year 1990) and established a time series of land cover information with updates in 2000, 2006 and 2012 being the last iteration. CLC products are based on photointerpretation of satellite images by national teams of participating countries – the EEA member and cooperating countries – following a standard methodology and nomenclature with the following base parameters: 44 classes in the hierarchical three level Corine nomenclature; minimum mapping unit (MMU) of status layers is 25 hectares; minimum width of linear elements is 100 metres; minimum mapping unit (MMU) for Land Cover Changes (LCC) for the change layers is 5 hectares. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. Land cover and land use (LCLU) information is important not only for land change research, but also more broadly for the monitoring of environmental change, policy support, the creation of environmental indicators and reporting. CLC datasets provide important datasets supporting the implementation of key priority areas of the Environment Action Programmes of the European Union as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive, among others. More information about the Corine Land Cover (CLC) and Copernicus land monitoring data in general can be found at http://land.copernicus.eu/.

Data created 2018.Hotspot mapping conducted for each SPA in which European shag were listed as a feature. Hotspot maps were conducted for each SPA independently (see guidance notes) and then individual SPA outputs were merged to create a single, combined SPA hotspot map across the UK. Details on which species were listed as features in specific SPAs taken from JNCC (date accessed 01.08/2018).The full technical report describing the work is available here.