https://www.ons.gov.uk/methodology/geography/licenceshttps://www.ons.gov.uk/methodology/geography/licences
Towns and Cities boundaries built from Built-up Areas.
This is the Index of Place Names (IPN) in Great Britain as at December 2021 (published December 2022). The IPN was first produced after the 1831 Census; this new version has been greatly expanded in content and extent. Featuring over 100,000 entries, it lists the names of localities and geography areas throughout England, Scotland and Wales. The IPN is published annually and with an updated and informative user guide giving a full rundown and explanation of the contents (File Size - 7 MB).
Important Note: This item is in mature support as of July 2021. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version.This map is designed to be used as a general reference map for informational and educational purposes as well as a basemap by GIS professionals and other users for creating web maps and web mapping applications.The map was developed by National Geographic and Esri and reflects the distinctive National Geographic cartographic style in a multi-scale reference map of the world. The map was authored using data from a variety of leading data providers, including Garmin, HERE, UNEP-WCMC, NASA, ESA, USGS, and others.This reference map includes administrative boundaries, cities, protected areas, highways, roads, railways, water features, buildings and landmarks, overlaid on shaded relief and land cover imagery for added context. The map includes global coverage down to ~1:144k scale and more detailed coverage for North America down to ~1:9k scale.Map Note: Although small-scale boundaries, place names and map notes were provided and edited by National Geographic, boundaries and names shown do not necessarily reflect the map policy of the National Geographic Society, particularly at larger scales where content has not been thoroughly reviewed or edited by National Geographic.Data Notes: The credits below include a list of data providers used to develop the map. Below are a few additional notes:Reference Data: National Geographic, Esri, Garmin, HERE, iPC, NRCAN, METILand Cover Imagery: NASA Blue Marble, ESA GlobCover 2009 (Copyright notice: © ESA 2010 and UCLouvain)Protected Areas: IUCN and UNEP-WCMC (2011), The World Database on Protected Areas (WDPA) Annual Release. Cambridge, UK: UNEP-WCMC. Available at:www.protectedplanet.net.Ocean Data: GEBCO, NOAA
ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
License information was derived automatically
This is a collection of simple maps in PDF format that are designed to be printed off and used in the classroom. The include maps of Great Britain that show the location of major rivers, cities and mountains as well as maps of continents and the World. There is very little information on the maps to allow teachers to download them and add their own content to fit with their lesson plans. Customise one print out then photocopy them for your lesson. data not available yet, holding data set (7th August). Other. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2012-08-07 and migrated to Edinburgh DataShare on 2017-02-22.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset is about books. It has 1 row and is filtered where the book is Historic towns : maps and plans of towns and cities in the British Isles, with historical commentaries, from earliest times to 1800. It features 7 columns including author, publication date, language, and book publisher.
This global accessibility map enumerates land-based travel time to the nearest densely-populated area for all areas between 85 degrees north and 60 degrees south for a nominal year 2015. Densely-populated areas are defined as contiguous areas with 1,500 or more inhabitants per square kilometre or a majority of built-up land cover types coincident with a population centre of at least 50,000 inhabitants. This map was produced through a collaboration between MAP (University of Oxford), Google, the European Union Joint Research Centre (JRC), and the University of Twente, Netherlands.The underlying datasets used to produce the map include roads (comprising the first ever global-scale use of Open Street Map and Google roads datasets), railways, rivers, lakes, oceans, topographic conditions (slope and elevation), landcover types, and national borders. These datasets were each allocated a speed or speeds of travel in terms of time to cross each pixel of that type. The datasets were then combined to produce a "friction surface"; a map where every pixel is allocated a nominal overall speed of travel based on the types occurring within that pixel. Least-cost-path algorithms (running in Google Earth Engine and, for high-latitude areas, in R) were used in conjunction with this friction surface to calculate the time of travel from all locations to the nearest (in time) city. The cities dataset used is the high-density-cover product created by the Global Human Settlement Project. Each pixel in the resultant accessibility map thus represents the modelled shortest time from that location to a city. Authors: D.J. Weiss, A. Nelson, H.S. Gibson, W. Temperley, S. Peedell, A. Lieber, M. Hancher, E. Poyart, S. Belchior, N. Fullman, B. Mappin, U. Dalrymple, J. Rozier, T.C.D. Lucas, R.E. Howes, L.S. Tusting, S.Y. Kang, E. Cameron, D. Bisanzio, K.E. Battle, S. Bhatt, and P.W. Gething. A global map of travel time to cities to assess inequalities in accessibility in 2015. (2018). Nature. doi:10.1038/nature25181
Processing notes: Data were processed from numerous sources including OpenStreetMap, Google Maps, Land Cover mapping, and others, to generate a global friction surface of average land-based travel speed. This accessibility surface was then derived from that friction surface via a least-cost-path algorithm finding at each location the closest point from global databases of population centres and densely-populated areas. Please see the associated publication for full details of the processing.
Source: https://map.ox.ac.uk/research-project/accessibility_to_cities/
https://www.ons.gov.uk/methodology/geography/licenceshttps://www.ons.gov.uk/methodology/geography/licences
A PDF map that shows the counties and unitary authorities in the United Kingdom as at 1 April 2023. (File Size - 583 KB)
Digital data from VG07-5 Springston, G. and De Simone, D., 2007,�Surficial geologic map of the town of Williston, Vermont: Vermont Geological Survey Open-File Report VG07-5, 1 color plate, scale 1:24,000.� Data may include surficial geologic contacts, isopach contours lines, bedrock outcrop polygons, bedrock geologic contacts, hydrogeologic units and more. The surficial geologic materials data at a scale of 1:24,000 depict types of unconsolidated surficial and glacial materials overlying bedrock in Vermont. Data is created by mapping on the ground using standard geologic pace and compass techniques and/or GPS on a USGS 1:24000 topographic base map. The materials data is selected from the Vermont Geological Survey Open File Report (OFR) publication (https://dec.vermont.gov/geological-survey/publication-gis/ofr). The OFR contains more complete descriptions of map units, cross-sections, isopach maps and other information that may not be included in this digital data set.
No abstract provided
Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
License information was derived automatically
Georeferenced map of 'Old and New Town of Edinburgh and Leith with the proposed docks' By John Ainslie (1804) as part of the Visualising Urban Geographies project- view other versions of the map at http://geo.nls.uk/urbhist/resources_maps.html. Scanned map. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2011-05-31 and migrated to Edinburgh DataShare on 2017-02-21.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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1:1,000,000 raster map of Northern Ireland with place names. A raster map is a static image displayed on screen which is suitable as background mapping. 1:1 000,000 Raster is smallest scale OSNI raster product giving an excellent overview of Northern Ireland. Published here for OpenData. By download or use of this dataset you agree to abide by the Open Government Data Licence.Please Note for Open Data NI Users: Esri Rest API is not Broken, it will not open on its own in a Web Browser but can be copied and used in Desktop and Webmaps
Public Domain Mark 1.0https://creativecommons.org/publicdomain/mark/1.0/
License information was derived automatically
This dataset represents the complete descriptive metadata for John Wood's town plan maps, a digitised collection of town plan maps of Scottish towns by mapmaker John Wood (1780-1747).
This archive contains aerial photography of UK boroughs (towns/cities) and counties. The scale of the photographs depends to some extent on the borough/county, but is predominantly 1:5000 for towns/cities and 1:10000 for complete counties.
These vertical aerial photographs are taken with a large camera mounted in the floor of an aeroplane flying in a series of pre-planned flight lines. The images overlap by 60% along the flight line to allow for stereoscopic (3D) viewing. There is a 25% overlap between flight lines.
In addition to their prime application in photogrammetric mapping (from updating and contouring existing maps to preparing large scale engineering plans), air photos are used for environmental studies, general planning, land use and land capability, soils, pollution, forestry, mining and quarrying, housing and leisure development, agriculture, geology, water, transport and civil engineering, boundary disputes, public enquiries, etc.
The data is stored mainly as colour photographic negatives and can be supplied as both digital and photographic products (positive or negative). To find out what imagery is available for a specific area, a cover search can be performed free of charge. Price lists and further information about cover searches are available, on request, from the National Remote Sensing Centre (NRSC).
Note: All photography is flown to RICS Specification for Aerial Photography Issue III, see references.
The population of the United Kingdom in 2023 was estimated to be approximately 68.3 million in 2023, with almost 9.48 million people living in South East England. London had the next highest population, at over 8.9 million people, followed by the North West England at 7.6 million. With the UK's population generally concentrated in England, most English regions have larger populations than the constituent countries of Scotland, Wales, and Northern Ireland, which had populations of 5.5 million, 3.16 million, and 1.92 million respectively. English counties and cities The United Kingdom is a patchwork of various regional units, within England the largest of these are the regions shown here, which show how London, along with the rest of South East England had around 18 million people living there in this year. The next significant regional units in England are the 47 metropolitan and ceremonial counties. After London, the metropolitan counties of the West Midlands, Greater Manchester, and West Yorkshire were the biggest of these counties, due to covering the large urban areas of Birmingham, Manchester, and Leeds respectively. Regional divisions in Scotland, Wales and Northern Ireland The smaller countries that comprise the United Kingdom each have different local subdivisions. Within Scotland these are called council areas whereas in Wales the main regional units are called unitary authorities. Scotland's largest Council Area by population is that of Glasgow City at over 622,000, while in Wales, it was the Cardiff Unitary Authority at around 372,000. Northern Ireland, on the other hand, has eleven local government districts, the largest of which is Belfast with a population of around 348,000.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
OSNI Street Maps showing detailed information, including road names and one-way systems, railway lines, car parking, public buildings, churches and schools, for Northern Ireland’s cities and towns. Dataset derived from OSNI large and smallscale data.Please Note for Open Data NI Users: Esri Rest API is not Broken, it will not open on its own in a Web Browser but can be copied and used in Desktop and Webmaps
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
(:unav)...........................................
Rural Urban ClassificationThe 2021 RUC is a statistical classification to provide a consistent and standardised method for classifying geographies as rural or urban. This is based on address density, physical settlement form, population size, and Relative Access to Major towns and cities (populations of over 75,000 people). The classification is produced by the Office for National Statistics (ONS) with advice from the Department for Environment, Food and Rural Affairs (Defra), the Welsh Government and colleagues from the Government Geography Profession (GGP).This is the 2021 rural-urban classification (RUC) of the 2021 Local Authority Districts in England and Wales. This means that the 2021 RUC methodology has been applied to the 2021 LAD boundaries. LAD classifications are divided into four categories based on their populations:<!--1. Majority Rural: had at least 50% of their population residing in Rural OAs.<!--2. Intermediate Rural: 35-50% rural population<!--3. Intermediate Urban: 20-35% rural population<!--4. Urban: 20% or less of the population live in rural OAs.Each 2021 LAD category is split into one of two Relative Access categories, using the same data as the 2021 Output Area RUC. If more than 50% of a LAD population lives in ‘nearer to a major town or city’ OAs, it is deemed ‘nearer a major town or city’; otherwise, it is classified as ‘further from a major town or city.
Where data is unavailable for Super Output Area geographies, it may be appropriate for users to undertake analysis at the LAD level. At this level, the categorisation works slightly differently in that most areas will include a mix of both rural and urban areas - so the LAD RUC categorisation is a reflection of this. A statistical geography may contain substantial portions of open countryside but still be given an ‘Urban’ classification if the majority of the population within the area live in settlements that are urban in nature. Users should take this into consideration to ensure correct interpretations of any analysis of RUC LAD categories
London had the highest unemployment rate among regions of the United Kingdom in the first quarter of 2025 at ****percent, while for the UK as a whole, the unemployment rate was ****percent. Three other regions also had an unemployment rate higher than the national average, while Northern Ireland had the lowest unemployment rate in this time period, at ****percent. Labor market recovery after COVID-19 After reaching historically low levels of unemployment in 2019, there was a noticeable spike in the UK unemployment rate in the aftermath of the COVID-19 pandemic. After peaking at ****percent in late 2020, the unemployment rate declined throughout 2021 and 2022. High levels of job vacancies, resignations, and staff shortages in 2022, were all indicative of a very tight labor market that year, but all these measures have started to point in the direction of a slightly looser labor market. UK's regional economic divide While the North of England has some of the country’s largest cities, the sheer size and economic power of London is much larger than the UK's other urban agglomerations. Partly, due to the size of London, the United Kingdom is one of Europe’s most centralized counties, and there is a clear divide between the economic prospects of north and south England. In 2022, for example, the gross domestic product per head in London was ****** British pounds, far higher than the UK average of *******pounds, and significantly larger than North East England, the region with the lowest GDP per head at *******pounds.
In 2023, London had a gross domestic product of over 569 billion British pounds, by far the most of any region of the United Kingdom. The region of South East England which surrounds London had the second-highest GDP in this year, at over 360 billion pounds. North West England, which includes the major cities of Manchester and Liverpool, had the third-largest GDP among UK regions, at almost 250 billion pounds. Levelling Up the UK London’s economic dominance of the UK can clearly be seen when compared to the other regions of the country. In terms of GDP per capita, the gap between London and the rest of the country is striking, standing at over 63,600 pounds per person in the UK capital, compared with just over 37,100 pounds in the rest of the country. To address the economic imbalance, successive UK governments have tried to implement "levelling-up policies", which aim to boost investment and productivity in neglected areas of the country. The success of these programs going forward may depend on their scale, as it will likely take high levels of investment to reverse economic neglect regions have faced in the recent past. Overall UK GDP The gross domestic product for the whole of the United Kingdom amounted to 2.56 trillion British pounds in 2024. During this year, GDP grew by 0.9 percent, following a growth rate of 0.4 percent in 2023. Due to the overall population of the UK growing faster than the economy, however, GDP per capita in the UK fell in both 2023 and 2024. Nevertheless, the UK remains one of the world’s biggest economies, with just five countries (the United States, China, Japan, Germany, and India) having larger economies. It is it likely that several other countries will overtake the UK economy in the coming years, with Indonesia, Brazil, Russia, and Mexico all expected to have larger economies than Britain by 2050.
https://www.ons.gov.uk/methodology/geography/licenceshttps://www.ons.gov.uk/methodology/geography/licences
This file contains the digital vector boundaries for Urban Audit Core Cities, in the United Kingdom, as at December 2016. The boundaries available are: 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 (75 MB) Full resolution - clipped to the coastline (65 MB) Generalised (20m) - clipped to the coastline (1 MB) Super generalised (200m) - clipped to the coastline (200 KB) Ultra generalised (500m) - clipped to the coastline (105 KB). REST URL of ArcGIS for INSPIRE View Service – https://onsinspire.esriuk.com/arcgis/rest/services/Other_Boundaries/Urban_Audit_Core_Cities_December_2016_Boundaries/MapServer/exts/InspireView REST URL of ArcGIS for INSPIRE Feature Download Service – https://onsinspire.esriuk.com/arcgis/rest/services/Other_Boundaries/Urban_Audit_Core_Cities_December_2016_Boundaries/MapServer/exts/InspireFeatureDownloadREST 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/Other_Boundaries/Urban_Audit_Core_Cities_December_2016_Boundaries/FeatureServer
https://www.ons.gov.uk/methodology/geography/licenceshttps://www.ons.gov.uk/methodology/geography/licences
Towns and Cities boundaries built from Built-up Areas.