23 datasets found
  1. e

    Major Towns and Cities and Built-up Areas Swipe Map

    • data.europa.eu
    html, unknown
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    Office for National Statistics, Major Towns and Cities and Built-up Areas Swipe Map [Dataset]. https://data.europa.eu/data/datasets/major-towns-and-cities-and-built-up-areas-swipe-map1?locale=en
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    unknown, htmlAvailable download formats
    Dataset authored and provided by
    Office for National Statistics
    Description

    How would you define the boundaries of a town or city in England and Wales in 2016?

    Maybe your definition would be based on its population size, geographic extent or where the industry and services are located. This was a question the ONS had to consider when creating a new statistical geography called Towns and Cities.

    In reality, the ability to delimit the boundaries of a city or town is difficult!


    Major Towns and Cities

    The new statistical geography, Towns and Cities has been created based on population size and the extent of the built environment. It contains 112 towns and cities in England and Wales, where the residential and/or workday population > 75,000 people at the 2011 Census. It has been constructed using the existing Built-Up Area boundary set produced by Ordnance Survey in 2011.

    This swipe map shows where the towns and cities and built-up areas are different. Just swipe the bar from left to right.

    The blue polygons are the towns and cities and the purple polygons are the built-up areas.

  2. g

    Major Towns and Cities and Built-up Areas Swipe Map | gimi9.com

    • gimi9.com
    Updated Aug 12, 2016
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    (2016). Major Towns and Cities and Built-up Areas Swipe Map | gimi9.com [Dataset]. https://gimi9.com/dataset/uk_major-towns-and-cities-and-built-up-areas-swipe-map1
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    Dataset updated
    Aug 12, 2016
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    🇬🇧 영국 English How would you define the boundaries of a town or city in England and Wales in 2016? Maybe your definition would be based on its population size, geographic extent or where the industry and services are located. This was a question the ONS had to consider when creating a new statistical geography called Towns and Cities. In reality, the ability to delimit the boundaries of a city or town is difficult! Major Towns and Cities The new statistical geography, Towns and Cities has been created based on population size and the extent of the built environment. It contains 112 towns and cities in England and Wales, where the residential and/or workday population > 75,000 people at the 2011 Census. It has been constructed using the existing Built-Up Area boundary set produced by Ordnance Survey in 2011. This swipe map shows where the towns and cities and built-up areas are different. Just swipe the bar from left to right. The blue polygons are the towns and cities and the purple polygons are the built-up areas.

  3. Largest urban agglomerations in the UK in 2023

    • statista.com
    Updated Aug 9, 2024
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    Statista (2024). Largest urban agglomerations in the UK in 2023 [Dataset]. https://www.statista.com/statistics/294645/population-of-selected-cities-in-united-kingdom-uk/
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    Dataset updated
    Aug 9, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    United Kingdom
    Description

    London was by far the largest urban agglomeration in the United Kingdom in 2023, with an estimated population of 9.65 million people, more than three times as large as Manchester, the UK’s second-biggest urban agglomeration. The agglomerations of Birmingham and Leeds / Bradford had the third and fourth-largest populations respectively, while the biggest city in Scotland, Glasgow, was the fifth largest. Largest cities in Europe Two cities in Europe had larger urban areas than London, with the Russian capital Moscow having a population of almost 12.7 million. The city of Paris, located just over 200 miles away from London, was the second-largest city in Europe, with a population of more than 11.2 million people. Paris was followed by London in terms of population-size, and then by the Spanish cities of Madrid and Barcelona, at 6.75 million and 5.68 million people respectively. Russia's second-biggest city; St. Petersburg had a population of 5.56 million, followed by Rome at 4.3 million, and Berlin at 3.5 million. London’s population growth Throughout the 1980s, the population of London fluctuated from a high of 6.81 million people in 1981 to a low of 6.73 million inhabitants in 1988. During the 1990s, the population of London increased once again, growing from 6.8 million at the start of the decade to 7.15 million by 1999. London's population has continued to grow since the turn of the century, reaching a peak of 8.96 million people in 2019, and is forecast to reach 9.8 million by 2043.

  4. s

    Major Towns and Cities (December 2015) Names and Codes in EW

    • geoportal.statistics.gov.uk
    Updated Aug 21, 2019
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    Office for National Statistics (2019). Major Towns and Cities (December 2015) Names and Codes in EW [Dataset]. https://geoportal.statistics.gov.uk/maps/ons::major-towns-and-cities-december-2015-names-and-codes-in-ew
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    Dataset updated
    Aug 21, 2019
    Dataset authored and provided by
    Office for National Statistics
    License

    https://www.ons.gov.uk/methodology/geography/licenceshttps://www.ons.gov.uk/methodology/geography/licences

    Description

    This file contains names and codes for Major Towns and Cities (TCITY) in England and Wales as at December 2015. (File size - 16KB).

    The TCITY statistical geography provides a precise definition of the major towns and cities in England and Wales. The geography has been developed specifically for the production and analysis of statistics, and is based on the Built-Up Areas geography that was created for the release of 2011 Census data.

    Field Names - TCITYCD, TCITYNM, FID

    Field Types - Text, Text, Number

    Field Lengths - 9, 20

    FID = The FID, or Feature ID is created by the publication process when the names and codes / lookup products are published to the Open Geography portal. REST URL of Feature Access Service – https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/Major_Towns_and_Cities_Dec_2015_Names_and_Codes_in_England_and_Wales_2022/FeatureServer

  5. E

    Simple maps for Schools

    • find.data.gov.scot
    • dtechtive.com
    xml, zip
    Updated Feb 22, 2017
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    University of Edinburgh (2017). Simple maps for Schools [Dataset]. http://doi.org/10.7488/ds/1914
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    xml(0.0039 MB), zip(5.35 MB)Available download formats
    Dataset updated
    Feb 22, 2017
    Dataset provided by
    University of Edinburgh
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Description

    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.

  6. g

    Major Towns and Cities and Built-up Areas Swipe Map | gimi9.com

    • gimi9.com
    Updated Aug 13, 2016
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    (2016). Major Towns and Cities and Built-up Areas Swipe Map | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_major-towns-and-cities-and-built-up-areas-swipe-map1/
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    Dataset updated
    Aug 13, 2016
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Maybe your definition would be based on its population size, geographic extent or where the industry and services are located. This was a question the ONS had to consider when creating a new statistical geography called Towns and Cities. In reality, the ability to delimit the boundaries of a city or town is difficult! Major Towns and Cities The new statistical geography, Towns and Cities has been created based on population size and the extent of the built environment. It contains 112 towns and cities in England and Wales, where the residential and/or workday population > 75,000 people at the 2011 Census. It has been constructed using the existing Built-Up Area boundary set produced by Ordnance Survey in 2011. This swipe map shows where the towns and cities and built-up areas are different. Just swipe the bar from left to right. The blue polygons are the towns and cities and the purple polygons are the built-up areas.

  7. s

    MSOA (2011) to Major Towns and Cities (December 2015) Best Fit Lookup in EW

    • geoportal.statistics.gov.uk
    • open-geography-portalx-ons.hub.arcgis.com
    Updated Dec 13, 2017
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    Office for National Statistics (2017). MSOA (2011) to Major Towns and Cities (December 2015) Best Fit Lookup in EW [Dataset]. https://geoportal.statistics.gov.uk/datasets/6acc2506855a4326a2aa2d4abd098244
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    Dataset updated
    Dec 13, 2017
    Dataset authored and provided by
    Office for National Statistics
    License

    https://www.ons.gov.uk/methodology/geography/licenceshttps://www.ons.gov.uk/methodology/geography/licences

    Area covered
    Description

    A best fit lookup between Middle Layer Super Output Areas (MSOA) as at December 2011, and Major Towns and Cities (TCITY) as at December 2015 in England and Wales. The TCITY statistical geography provides a precise definition of the major towns and cities in England and Wales The geography has been developed specifically for the production and analysis of statistics, and is based on the Built-Up Areas geography that was created for the release of 2011 Census data (File Size 297KB).REST URL of Feature Access Service – https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/MSOA11_TCITY15_EW_LU_e9458a2654ac404c961d645c86978493/FeatureServer

    For more information and an overview of best-fitting follow this link - https://geoportal.statistics.gov.uk/datasets/f0aac7ccbfd04cda9eb03e353c613faa/about

  8. f

    Travel time to cities and ports in the year 2015

    • figshare.com
    tiff
    Updated May 30, 2023
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    Andy Nelson (2023). Travel time to cities and ports in the year 2015 [Dataset]. http://doi.org/10.6084/m9.figshare.7638134.v4
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    tiffAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    figshare
    Authors
    Andy Nelson
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The dataset and the validation are fully described in a Nature Scientific Data Descriptor https://www.nature.com/articles/s41597-019-0265-5

    If you want to use this dataset in an interactive environment, then use this link https://mybinder.org/v2/gh/GeographerAtLarge/TravelTime/HEAD

    The following text is a summary of the information in the above Data Descriptor.

    The dataset is a suite of global travel-time accessibility indicators for the year 2015, at approximately one-kilometre spatial resolution for the entire globe. The indicators show an estimated (and validated), land-based travel time to the nearest city and nearest port for a range of city and port sizes.

    The datasets are in GeoTIFF format and are suitable for use in Geographic Information Systems and statistical packages for mapping access to cities and ports and for spatial and statistical analysis of the inequalities in access by different segments of the population.

    These maps represent a unique global representation of physical access to essential services offered by cities and ports.

    The datasets travel_time_to_cities_x.tif (where x has values from 1 to 12) The value of each pixel is the estimated travel time in minutes to the nearest urban area in 2015. There are 12 data layers based on different sets of urban areas, defined by their population in year 2015 (see PDF report).

    travel_time_to_ports_x (x ranges from 1 to 5)

    The value of each pixel is the estimated travel time to the nearest port in 2015. There are 5 data layers based on different port sizes.

    Format Raster Dataset, GeoTIFF, LZW compressed Unit Minutes

    Data type Byte (16 bit Unsigned Integer)

    No data value 65535

    Flags None

    Spatial resolution 30 arc seconds

    Spatial extent

    Upper left -180, 85

    Lower left -180, -60 Upper right 180, 85 Lower right 180, -60 Spatial Reference System (SRS) EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)

    Temporal resolution 2015

    Temporal extent Updates may follow for future years, but these are dependent on the availability of updated inputs on travel times and city locations and populations.

    Methodology Travel time to the nearest city or port was estimated using an accumulated cost function (accCost) in the gdistance R package (van Etten, 2018). This function requires two input datasets: (i) a set of locations to estimate travel time to and (ii) a transition matrix that represents the cost or time to travel across a surface.

    The set of locations were based on populated urban areas in the 2016 version of the Joint Research Centre’s Global Human Settlement Layers (GHSL) datasets (Pesaresi and Freire, 2016) that represent low density (LDC) urban clusters and high density (HDC) urban areas (https://ghsl.jrc.ec.europa.eu/datasets.php). These urban areas were represented by points, spaced at 1km distance around the perimeter of each urban area.

    Marine ports were extracted from the 26th edition of the World Port Index (NGA, 2017) which contains the location and physical characteristics of approximately 3,700 major ports and terminals. Ports are represented as single points

    The transition matrix was based on the friction surface (https://map.ox.ac.uk/research-project/accessibility_to_cities) from the 2015 global accessibility map (Weiss et al, 2018).

    Code The R code used to generate the 12 travel time maps is included in the zip file that can be downloaded with these data layers. The processing zones are also available.

    Validation The underlying friction surface was validated by comparing travel times between 47,893 pairs of locations against journey times from a Google API. Our estimated journey times were generally shorter than those from the Google API. Across the tiles, the median journey time from our estimates was 88 minutes within an interquartile range of 48 to 143 minutes while the median journey time estimated by the Google API was 106 minutes within an interquartile range of 61 to 167 minutes. Across all tiles, the differences were skewed to the left and our travel time estimates were shorter than those reported by the Google API in 72% of the tiles. The median difference was −13.7 minutes within an interquartile range of −35.5 to 2.0 minutes while the absolute difference was 30 minutes or less for 60% of the tiles and 60 minutes or less for 80% of the tiles. The median percentage difference was −16.9% within an interquartile range of −30.6% to 2.7% while the absolute percentage difference was 20% or less in 43% of the tiles and 40% or less in 80% of the tiles.

    This process and results are included in the validation zip file.

    Usage Notes The accessibility layers can be visualised and analysed in many Geographic Information Systems or remote sensing software such as QGIS, GRASS, ENVI, ERDAS or ArcMap, and also by statistical and modelling packages such as R or MATLAB. They can also be used in cloud-based tools for geospatial analysis such as Google Earth Engine.

    The nine layers represent travel times to human settlements of different population ranges. Two or more layers can be combined into one layer by recording the minimum pixel value across the layers. For example, a map of travel time to the nearest settlement of 5,000 to 50,000 people could be generated by taking the minimum of the three layers that represent the travel time to settlements with populations between 5,000 and 10,000, 10,000 and 20,000 and, 20,000 and 50,000 people.

    The accessibility layers also permit user-defined hierarchies that go beyond computing the minimum pixel value across layers. A user-defined complete hierarchy can be generated when the union of all categories adds up to the global population, and the intersection of any two categories is empty. Everything else is up to the user in terms of logical consistency with the problem at hand.

    The accessibility layers are relative measures of the ease of access from a given location to the nearest target. While the validation demonstrates that they do correspond to typical journey times, they cannot be taken to represent actual travel times. Errors in the friction surface will be accumulated as part of the accumulative cost function and it is likely that locations that are further away from targets will have greater a divergence from a plausible travel time than those that are closer to the targets. Care should be taken when referring to travel time to the larger cities when the locations of interest are extremely remote, although they will still be plausible representations of relative accessibility. Furthermore, a key assumption of the model is that all journeys will use the fastest mode of transport and take the shortest path.

  9. GDP of the UK 2023, by region

    • statista.com
    Updated Apr 22, 2025
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    Statista (2025). GDP of the UK 2023, by region [Dataset]. https://www.statista.com/statistics/1004135/uk-gdp-by-region/
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    Dataset updated
    Apr 22, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United Kingdom
    Description

    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.

  10. s

    Counties and Unitary Authorities (April 2023) Map in the UK

    • geoportal.statistics.gov.uk
    • hub.arcgis.com
    Updated May 31, 2023
    + more versions
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    Office for National Statistics (2023). Counties and Unitary Authorities (April 2023) Map in the UK [Dataset]. https://geoportal.statistics.gov.uk/documents/1aa806eb35ee4334a87f5970c82e3ac0
    Explore at:
    Dataset updated
    May 31, 2023
    Dataset authored and provided by
    Office for National Statistics
    License

    https://www.ons.gov.uk/methodology/geography/licenceshttps://www.ons.gov.uk/methodology/geography/licences

    Area covered
    Description

    A PDF map that shows the counties and unitary authorities in the United Kingdom as at 1 April 2023. (File Size - 583 KB)

  11. Population of the UK 2023, by region

    • statista.com
    • ai-chatbox.pro
    Updated Oct 14, 2024
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    Statista (2024). Population of the UK 2023, by region [Dataset]. https://www.statista.com/statistics/294729/uk-population-by-region/
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    Dataset updated
    Oct 14, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United Kingdom
    Description

    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.

  12. a

    Rural Urban Classification (2021) of MSOAs in EW

    • hub.arcgis.com
    • geoportal.statistics.gov.uk
    Updated Mar 5, 2025
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    Office for National Statistics (2025). Rural Urban Classification (2021) of MSOAs in EW [Dataset]. https://hub.arcgis.com/maps/ons::rural-urban-classification-2021-of-msoas-in-ew/about
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    Dataset updated
    Mar 5, 2025
    Dataset authored and provided by
    Office for National Statistics
    Area covered
    Description

    The 2021 rural-urban classification (RUC) of Middle layer Super Output Areas (MSOA) in England and Wales. Middle layer Super Output Areas are assigned their RUC classification based on their Output Area (OA) settlement class (‘Urban’, ‘Larger rural’ and ‘Smaller rural’) and relative access category (‘nearer to a major town or city’ and ‘further from a major town or city’) of the majority population that are resident within them.

    The 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).

  13. W

    LPS OSNI Gazetteer (Pre-Defined Download)

    • cloud.csiss.gmu.edu
    • data.europa.eu
    • +1more
    html
    Updated Dec 20, 2019
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    United Kingdom (2019). LPS OSNI Gazetteer (Pre-Defined Download) [Dataset]. https://cloud.csiss.gmu.edu/uddi/dataset/lps-osni-gazetteer-pre-defined-download
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    htmlAvailable download formats
    Dataset updated
    Dec 20, 2019
    Dataset provided by
    United Kingdom
    Description

    This is a restricted dataset and this download is available to NIMA users only.

    OSNI 250k contains a tabulated list of 330 main cities, towns and villages of Northern Ireland appearing on the 1:250,000 map. Irish grid references are incorporated in the table to allow the spatial location of the settlements to be plotted. The data has been captured by extracting all textual levels for the main cities, towns and villages of Northern Ireland appearing on the 1:250,000 map. OSNI 50k Gazetteer contains a list of all main text appearing on OSNI 1:50 000 scale Discoverer Map Series. Includes names of cities, towns, villages, water features, mountains, hills and forests of Northern Ireland. Irish Grid references are incorporated.

    Users outside of the Spatial NI Portal please use Resource Locator 2.

  14. W

    LPS OSNI 1:250 000 Gazetteer (Metadata)

    • cloud.csiss.gmu.edu
    • data.wu.ac.at
    Updated Jan 5, 2020
    + more versions
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    United Kingdom (2020). LPS OSNI 1:250 000 Gazetteer (Metadata) [Dataset]. https://cloud.csiss.gmu.edu/uddi/dataset/lps-osni-1-250-000-gazetteer-metadata
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    Dataset updated
    Jan 5, 2020
    Dataset provided by
    United Kingdom
    Description

    A tabulated list of 330 main cities, towns and villages of Northern Ireland appearing on the 1:250,000 map. Irish grid references are incorporated in the table to allow the spatial location of the settlements to be plotted.

  15. Unemployment rate in the UK 2025, by region

    • statista.com
    Updated May 14, 2025
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    Statista (2025). Unemployment rate in the UK 2025, by region [Dataset]. https://www.statista.com/statistics/297167/uk-regional-unemployment-rate/
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    Dataset updated
    May 14, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    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.

  16. n

    NRSC UK Borough and County Aerial Photography

    • cmr.earthdata.nasa.gov
    Updated Apr 21, 2017
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    (2017). NRSC UK Borough and County Aerial Photography [Dataset]. https://cmr.earthdata.nasa.gov/search/concepts/C1214607949-SCIOPS
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    Dataset updated
    Apr 21, 2017
    Time period covered
    Jan 1, 1980 - Present
    Area covered
    Description

    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.

  17. Distribution of Population 1851-1941

    • open.canada.ca
    • datasets.ai
    • +2more
    jpg, pdf
    Updated Mar 14, 2022
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    Natural Resources Canada (2022). Distribution of Population 1851-1941 [Dataset]. https://open.canada.ca/data/en/dataset/48a638ed-1850-55b9-9b2b-348d7ee1e5df
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    pdf, jpgAvailable download formats
    Dataset updated
    Mar 14, 2022
    Dataset provided by
    Ministry of Natural Resources of Canadahttps://www.nrcan.gc.ca/
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    Contained within the 3rd Edition (1957) of the Atlas of Canada is a plate that shows the distribution of population in what is now Canada circa 1851, 1871, 1901, 1921 and 1941. The five maps display the boundaries of the various colonies, provinces and territories for each date. Also shown on these five maps are the locations of principal cities and settlements. These places are shown on all of the maps for reference purposes even though they may not have been in existence in the earlier years. Each map is accompanied by a pie chart providing the percentage distribution of Canadian population by province and territory corresponding to the date the map is based on. It should be noted that the pie chart entitled Percentage Distribution of Total Population, 1851, refers to the whole of what was then British North America. The name Canada in this chart refers to the province of Canada which entered confederation in 1867 as Ontario and Quebec. The other pie charts, however, show only percentage distribution of population in what was Canada at the date indicated. Three additional graphs are included on this plate and show changes in the distribution of the population of Canada from 1867 to 1951, changes in the percentage distribution of the population of Canada by provinces and territories from 1867 to 1951 and elements in the growth of the population of Canada for each ten-year period from 1891 to 1951.

  18. Population of England 2023, by county

    • statista.com
    Updated Oct 23, 2024
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    Statista (2024). Population of England 2023, by county [Dataset]. https://www.statista.com/statistics/971694/county-population-england/
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    Dataset updated
    Oct 23, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    England, United Kingdom
    Description

    In 2023, almost nine million people lived in Greater London, making it the most populated ceremonial county in England. The West Midlands Metropolitan County, which contains the large city of Birmingham, was the second-largest county at 2.98 million inhabitants, followed by Greater Manchester and then West Yorkshire with populations of 2.95 million and 2.4 million, respectively. Kent, Essex, and Hampshire were the three next-largest counties in terms of population, each with around 1.89 million people. A patchwork of regions England is just one of the four countries that compose the United Kingdom of Great Britain and Northern Ireland, with England, Scotland and Wales making up Great Britain. England is therefore not to be confused with Great Britain or the United Kingdom as a whole. Within England, the next subdivisions are the nine regions of England, containing various smaller units such as unitary authorities, metropolitan counties and non-metropolitan districts. The counties in this statistic, however, are based on the ceremonial counties of England as defined by the Lieutenancies Act of 1997. Regions of Scotland, Wales, and Northern Ireland Like England, the other countries of the United Kingdom have their own regional subdivisions, although with some different terminology. Scotland’s subdivisions are council areas, while Wales has unitary authorities, and Northern Ireland has local government districts. As of 2022, the most-populated Scottish council area was Glasgow City, with over 622,000 inhabitants. In Wales, Cardiff had the largest population among its unitary authorities, and in Northern Ireland, Belfast was the local government area with the most people living there.

  19. W

    LPS OSNI 1:50 000 Gazetteer (Metadata)

    • cloud.csiss.gmu.edu
    • data.wu.ac.at
    Updated Dec 26, 2019
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    United Kingdom (2019). LPS OSNI 1:50 000 Gazetteer (Metadata) [Dataset]. https://cloud.csiss.gmu.edu/uddi/dataset/lps-osni-1-50-000-gazetteer-metadata
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    Dataset updated
    Dec 26, 2019
    Dataset provided by
    United Kingdom
    Description

    A list of all main text appearing on OSNI 1:50 000 scale Discoverer Map Series. Includes names of cities, towns, villages, water features, mountains, hills and forests of Northern Ireland. Irish Grid references are incorporated.

  20. ONS Postcode Directory (February 2023) for the UK (V2)

    • geoportal.statistics.gov.uk
    • hub.arcgis.com
    Updated Feb 22, 2023
    + more versions
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    Office for National Statistics (2023). ONS Postcode Directory (February 2023) for the UK (V2) [Dataset]. https://geoportal.statistics.gov.uk/datasets/a2f8c9c5778a452bbf640d98c166657c
    Explore at:
    Dataset updated
    Feb 22, 2023
    Dataset authored and provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    https://www.ons.gov.uk/methodology/geography/licenceshttps://www.ons.gov.uk/methodology/geography/licences

    Area covered
    Description

    This is the ONS Postcode Directory (ONSPD) for the United Kingdom as at February 2023 in Comma Separated Variable (CSV) and ASCII text (TXT) formats. This file contains the multi CSVs so that postcode areas can be opened in MS Excel. To download the zip file click the Download button. The ONSPD relates both current and terminated postcodes in the United Kingdom to a range of current statutory administrative, electoral, health and other area geographies. It also links postcodes to pre-2002 health areas, 1991 Census enumeration districts for England and Wales, 2001 Census Output Areas (OA) and Super Output Areas (SOA) for England and Wales, 2001 Census OAs and SOAs for Northern Ireland and 2001 Census OAs and Data Zones (DZ) for Scotland. It now contains 2021 Census OAs and SOAs for England and Wales. It helps support the production of area based statistics from postcoded data. The ONSPD is produced by ONS Geography, who provide geographic support to the Office for National Statistics (ONS) and geographic services used by other organisations. The ONSPD is issued quarterly. (File size - 234 MB)NOTE: The 2022 ONSPDs included an incorrect update of the ITL field with two LA changes in Northamptonshire. This error has been corrected from the February 2023 ONSPD.NOTE: There was an issue with the originally published file where some change orders yet to be included in OS Boundary-LineÔ (including The Cumbria (Structural Changes) Order 2022, The North Yorkshire (Structural Changes) Order 2022 and The Somerset (Structural Changes) Order 2022) were mistakenly implemented for terminated postcodes. Version 2 corrects this, so that ward codes E05014171–E05014393 are not yet included. Please note that this product contains Royal Mail, Gridlink, LPS (Northern Ireland), Ordnance Survey and ONS Intellectual Property Rights.

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Office for National Statistics, Major Towns and Cities and Built-up Areas Swipe Map [Dataset]. https://data.europa.eu/data/datasets/major-towns-and-cities-and-built-up-areas-swipe-map1?locale=en

Major Towns and Cities and Built-up Areas Swipe Map

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unknown, htmlAvailable download formats
Dataset authored and provided by
Office for National Statistics
Description

How would you define the boundaries of a town or city in England and Wales in 2016?

Maybe your definition would be based on its population size, geographic extent or where the industry and services are located. This was a question the ONS had to consider when creating a new statistical geography called Towns and Cities.

In reality, the ability to delimit the boundaries of a city or town is difficult!


Major Towns and Cities

The new statistical geography, Towns and Cities has been created based on population size and the extent of the built environment. It contains 112 towns and cities in England and Wales, where the residential and/or workday population > 75,000 people at the 2011 Census. It has been constructed using the existing Built-Up Area boundary set produced by Ordnance Survey in 2011.

This swipe map shows where the towns and cities and built-up areas are different. Just swipe the bar from left to right.

The blue polygons are the towns and cities and the purple polygons are the built-up areas.

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