London was by far the largest urban agglomeration in the United Kingdom in 2025, with an estimated population of *** 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 Istanbul having a population of around **** million and the Russian capital Moscow having a population of over **** 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 **** million people. Paris was followed by London in terms of population size, and then by the Spanish cities of Madrid and Barcelona, at *** million and *** million people, respectively. The Italian capital, Rome, was the next largest city at *** million, followed by Berlin at *** million. London’s population growth Throughout the 1980s, the population of London fluctuated from a high of **** million people in 1981 to a low of **** million inhabitants in 1988. During the 1990s, the population of London increased once again, growing from ****million at the start of the decade to **** million by 1999. London's population has continued to grow since the turn of the century, and despite declining between 2019 and 2021, it reached *** million people in 2023 and is forecast to reach almost *** million by 2047.

This statistic shows the ten largest cities in the United Kingdom in 2021. In 2021, around 8.78 million people lived in London, making it the largest city in the United Kingdom.

London was by far the most visited city by international tourists in the United Kingdom in 2023. That year, inbound visits to the UK's capital totaled just over ** million, staying roughly ***** percent lower than in 2019, prior to the coronavirus (COVID-19) pandemic. Edinburgh and Manchester followed in the ranking, reporting around *** million and *** million visits, respectively. Overall, the number of inbound visits to the UK reached ** million in 2023 but remained below pre-pandemic levels. What is the leading tourist attraction in London? Tourists visit London for a variety of reasons, not the least of which is its attractions. In 2023, the British Museum was London’s most visited tourist attraction, drawing in approximately *** million visitors. The Natural History Museum in South Kensington and the Tate Modern came next in the ranking, with about *** and *** million visitors, respectively. While attendance at many of London’s top tourist attractions saw a significant increase in 2023 compared to the previous year, attendance generally remained below pre-pandemic levels. What is the leading region for summer staycations in the UK? A 'staycation' typically refers to a holiday spent in one's home country rather than abroad. It can also refer to a holiday spent at home involving day trips to local attractions. The leading region for summer staycations in the UK, according to an April 2024 survey, was the South West. Meanwhile, ** percent of respondents said that they intended to visit Scotland during their summer holiday while only ***** percent stated that they would like to visit Northern Ireland. London came second in the ranking.

National and subnational mid-year population estimates for the UK and its constituent countries by administrative area, age and sex (including components of population change, median age and population density).

This project will explore the impact of the economic recession on cities and households through a systematic comparison of the experiences of two English cities, Bristol and Liverpool.The research will use both quantitative and qualitative approaches. Interviews will be held in both cities with stakeholders from across the public, private and voluntary and community sectors. A social survey of 1000 households will also be conducted in the two cities covering 10 specific household types. A series of in-depth qualitative interviews will then be held with households drawn from the survey and chosen to illustrate the spectrum of experience.In the context of globalisation and the rescaling of cities and states, the research aims to develop our understanding of the relationship between economic crisis, global connectivity and the transnational processes shaping cities and the everyday lives of residents. It will explore the 'capillary-like' impact of the crisis and austerity measures on local economic development, and local labour and housing markets, as well as highlight the intersecting realities of everyday life for households across the life course.The research will document the responses and coping strategies developed across different household types and evaluate the impact and effectiveness of 'anti-recession' strategies and policies.

A CSV file containing the best fit lookup between 2011 Output Areas (OA) 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 6.5MB).Field Names – OA01CD, OA01CDOLD, TCITY15CD, TCITY15NM

Field Types – Text, Text, Text, Text

Field Lengths – 9, 10, 9, 25REST URL of Feature Access Service – https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/OA01_TCITY15_EW_LU_a0e2581567bc425ba62da183b51ead0f/FeatureServer

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

All cities with a population > 1000 or seats of adm div (ca 80.000)Sources and ContributionsSources : GeoNames is aggregating over hundred different data sources. Ambassadors : GeoNames Ambassadors help in many countries. Wiki : A wiki allows to view the data and quickly fix error and add missing places. Donations and Sponsoring : Costs for running GeoNames are covered by donations and sponsoring.Enrichment:add country name

Cambridge was the fastest growing city in the United Kingdom between 2013 and 2023, with its population increasing by 17.3 percent. Exeter, Milton Keynes, and Peterborough also grew quite fast, with their populations increasing by 15.2 percent, 14.9 percent, and 14 percent, respectively. Largest UK urban areas When looking at cities defined by their urban agglomerations, as of 2023, London had approximately 9.65 million people living there, far larger than any other city in the United Kingdom. The urban agglomeration around the city of Birmingham had a population of approximately 2.67 million, while the urban areas around Manchester and Leeds had populations of 2.79 and 1.92 million respectively. London not only dominated other UK cities in terms of its population, but in its importance to the UK economy. In 2023, the gross domestic product of Greater London was approximately 569 billion British pounds, compared with 101 billion for Greater Manchester, and 85 billion in the West Midlands Metropolitan Area centered around Birmingham. UK population growth In 2023, the overall population of the United Kingdom was estimated to have reached approximately 68.3 million, compared with around 58.9 million in 2000. Since 1970, 2023 was also the year with the highest population growth rate, growing by 0.98 percent, and was at its lowest in 1982 when it shrank by 0.12 percent. Although the UK's birth rate has declined considerably in recent years, immigration to the UK has been high enough to drive population growth in the UK, which has had a positive net migration rate since 1994.

Annual estimates of balanced UK regional gross domestic product (GDP). Current price estimates and chained volume measures for combined authorities and city regions.

In 2022, Birmingham had the highest score among selected cities in the United Kingdom, which were included in the Clean Cities ranking of safe roads for pedestrians and cyclists. Birmingham received a score of *** out of 10, followed closely by Edinburgh at a score of ***.

The datasets are split by census block, cities, counties, districts, provinces, and states. The typical dataset includes the below fields.

Column numbers, Data attribute, Description 1, device_id, hashed anonymized unique id per moving device 2, origin_geoid, geohash id of the origin grid cell 3, destination_geoid, geohash id of the destination grid cell 4, origin_lat, origin latitude with 4-to-5 decimal precision 5, origin_long, origin longitude with 4-to-5 decimal precision 6, destination_lat, destination latitude with 5-to-6 decimal precision 7, destination_lon, destination longitude with 5-to-6 decimal precision 8, start_timestamp, start timestamp / local time 9, end_timestamp, end timestamp / local time 10, origin_shape_zone, customer provided origin shape id, zone or census block id 11, destination_shape_zone, customer provided destination shape id, zone or census block id 12, trip_distance, inferred distance traveled in meters, as the crow flies 13, trip_duration, inferred duration of the trip in seconds 14, trip_speed, inferred speed of the trip in meters per second 15, hour_of_day, hour of day of trip start (0-23) 16, time_period, time period of trip start (morning, afternoon, evening, night) 17, day_of_week, day of week of trip start(mon, tue, wed, thu, fri, sat, sun) 18, year, year of trip start 19, iso_week, iso week of the trip 20, iso_week_start_date, start date of the iso week 21, iso_week_end_date, end date of the iso week 22, travel_mode, mode of travel (walking, driving, bicycling, etc) 23, trip_event, trip or segment events (start, route, end, start-end) 24, trip_id, trip identifier (unique for each batch of results) 25, origin_city_block_id, census block id for the trip origin point 26, destination_city_block_id, census block id for the trip destination point 27, origin_city_block_name, census block name for the trip origin point 28, destination_city_block_name, census block name for the trip destination point 29, trip_scaled_ratio, ratio used to scale up each trip, for example, a trip_scaled_ratio value of 10 means that 1 original trip was scaled up to 10 trips 30, route_geojson, geojson line representing trip route trajectory or geometry

The datasets can be processed and enhanced to also include places, POI visitation patterns, hour-of-day patterns, weekday patterns, weekend patterns, dwell time inferences, and macro movement trends.

The dataset is delivered as gzipped CSV archive files that are uploaded to your AWS s3 bucket upon request.

Field Names – OA01CD, OA01CDOLD, TCITY15CD, TCITY15NM Field Types – Text, Text, Text, Text Field Lengths – 9, 10, 9, 25REST URL of Feature Access Service – https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/OA01_TCITY15_EW_LU_a0e2581567bc425ba62da183b51ead0f/FeatureServer For more information and an overview of best-fitting follow this link - https://geoportal.statistics.gov.uk/datasets/f0aac7ccbfd04cda9eb03e353c613faa/about

This statistic shows the ten cities with the highest number of businesses per 10,000 population in the United Kingdom (UK) in 2018. London had the highest number of businesses per 10,000 population in this year at ***, followed by Milton Keynes which had ***.

This report was released in September 2010. However, recent demographic data is available on the datastore - you may find other datasets on the Datastore useful such as: GLA Population Projections, National Insurance Number Registrations of Overseas Nationals, Births by Birthplace of Mother, Births and Fertility Rates, Office for National Statistics (ONS) Population Estimates

FOCUSONLONDON2010:POPULATIONANDMIGRATION

London is the United Kingdom’s only city region. Its population of 7.75 million is 12.5 per cent of the UK population living on just 0.6 per cent of the land area. London’s average population density is over 4,900 persons per square kilometre, this is ten times that of the second most densely populated region.

Between 2001 and 2009 London’s population grew by over 430 thousand, more than any other region, accounting for over 16 per cent of the UK increase.

This report discusses in detail the population of London including Population Age Structure, Fertility and Mortality, Internal Migration, International Migration, Population Turnover and Churn, and Demographic Projections.

Population and Migration report is the first release of the Focus on London 2010-12 series. Reports on themes such as Income, Poverty, Labour Market, Skills, Health, and Housing are also available.

REPORT:

Read the full report in PDF format.

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PRESENTATION:

To access an interactive presentation about population changes in London click the link to see it on Prezi.com

DATA:

To access a spreadsheet with all the data from the Population and Migration report click on the image below.

Report data

MAP:

To enter an interactive map showing a number of indicators discussed in the Population and Migration report click on the image below.

Interactive Maps

FACTS:

● Top five boroughs for babies born per 10,000 population in 2008-09:

1. Newham – 244.4
2. Barking and Dagenham – 209.3
3. Hackney – 205.7
4. Waltham Forest – 202.7
5. Greenwich – 196.2

-32. Havering – 116.8

-33. City of London – 47.0

● In 2009, Barnet overtook Croydon as the most populous London borough. Prior to this Croydon had been the largest since 1966

● Population per hectare of land used for Domestic building and gardens is highest in Tower Hamlets

● In 2008-09, natural change (births minus deaths) led to 78,000 more Londoners compared with only 8,000 due to migration. read more about this or click play on the chart below to reveal how regional components of populations change have altered over time.

This spatial dataset is an output of the Natural England County & City Natural Capital Atlas project (July 2020). It shows variation in ecosystem service flow for habitats across England, based on indicators identified by NE in the 2018 Natural Capital Indicators project. The dataset comprises a hexagonal grid which summarises indicator values across the country (each unit = 5km²).

Natural Capital is an important aspect of current environmental policy and management. This dataset, in combination with the other project outputs, will support understanding of Natural Capital in England and serve as a valuable engagement tool to communicate concepts of the Natural Capital approach to a wide variety of stakeholders.

For full methodology and user guide see documents ‘NCAtlas_Devon’ and ‘NC-Mapping-User-Guidance’ at http://publications.naturalengland.org.uk/publication/6672365834731520.

For full metadata documentation see the data package download below.

Copyright statement: LCM2015 © NERC (CEH) 2011. Contains Ordnance Survey data © Crown Copyright 2007. © Defra. Contains Defra information © Defra - Project MB0102. © Environment Agency. © Forestry Commission. © Historic England [year]. © Joint Nature Conservation Committee. © Natural England copyright. Contains Ordnance Survey data © Crown copyright and database right [year]. Contains data supplied by © NERC - Centre for Ecology & Hydrology. © Natural England copyright. Natural England Licence No. 2011/052 British Geological Survey © NERC, all rights reserved, © NSRI Cranfield University. Contains National Statistics data © Crown copyright and database right [year]. Contains Ordnance Survey data © Crown copyright and database right [year]. Contains Rural Payments Agency. © Barnsley Metropolitan Borough Council. © Bath & North East Somerset Council. © Bedford Borough Council. © London Borough of Bexley. © Birmingham City Council. © Blackburn with Darwen Borough Council. © Blackpool Council. © Bolton Council. © BCP Council. © Bracknell Forest Council. © City of Bradford Metropolitan District Council. © Brighton & Hove City Council. © Bristol City Council. © London Borough of Bromley. © Buckinghamshire County Council. © Bury Council. © Calderdale Council. © Cambridgeshire County Council. © Central Bedfordshire Council. © Cheshire East Council. © Cheshire West and Chester Council. © Cornwall Council. © Cumbria County Council. © Derbyshire County Council. © Devon County Council. © Doncaster Council. © Dorset Council. © Dudley Metropolitan Borough Council. © Durham County Council. © East Riding of Yorkshire Council. © East Sussex County Council. © Essex County Council. © Gateshead Council. © Gloucestershire County Council. © Hampshire County Council. © Herefordshire Council. © Hertfordshire County Council. © Hull City Council. © Isle of Anglesey County Council. © Isle of Wight Council. © Kent County Council. © Kirklees Council. © Knowsley Metropolitan Borough Council. © Lake District National Park. © Lancashire County Council. © Leicester City Council. © Leicestershire County Council. © Lincolnshire County Council. © Manchester City Council. © Medway Council. © Norfolk County Council. © North Lincolnshire Council. © North Somerset Council. © North Yorkshire County Council. © Northamptonshire County Council. © Northumberland County Council. © Nottingham City Council. © Nottinghamshire County Council. © Oldham Council. © Oxfordshire County Council. © Peterborough City Council. © Plymouth City Council. © Bournemouth, Christchurch and Poole Council. © Portsmouth City Council. © Reading Borough Council. © Redcar and Cleveland Borough Council. © Rochdale Borough Council. © Rotherham Metropolitan Borough Council. © Rutland County Council. © Salford City Council. © Sefton Council. © Sheffield City Council. © Shropshire Council. © Slough Borough Council. © Somerset County Council. © South Gloucestershire Council. © Southampton City Council. © St Helens Council. © Staffordshire County Council. © Stockport Metropolitan Borough Council. © Stockton Council. © Suffolk County Council. © Surrey County Council. © Tameside Metropolitan Borough Council. © Thurrock Council. © Torbay Council. © Trafford Council. © Wakefield Council. © Walsall Council. © Warrington Borough Council. © Warwickshire County Council. © West Berkshire Council. © West Sussex County Council. © Wigan Council. © Wiltshire Council. © Royal Borough of Windsor and Maidenhead Council. © Wirral Council. © Wokingham Borough Council. © Worcestershire County Council. © City of York Council.

The empirical dataset is derived from a survey carried out on 25 estates in 14 cities in nine different European countries: France (Lyon), Germany (Berlin), Hungary (Budapest and Nyiregyha´za), Italy (Milan), the Netherlands (Amsterdam and Utrecht), Poland (Warsaw), Slovenia (Ljubljana and Koper), Spain (Barcelona and Madrid), and Sweden (Jo¨nko¨ping and Stockholm). The survey was part of the EU RESTATE project (Musterd & Van Kempen, 2005). A similar survey was constructed for all 25 estates.

The survey was carried out between February and June 2004. In each case, a random sample was drawn, usually from the whole estate. For some estates, address lists were used as the basis for the sample; in other cases, the researchers first had to take a complete inventory of addresses themselves (for some deviations from this general trend and for an overview of response rates, see Musterd & Van Kempen, 2005). In most cities, survey teams were hired to carry out the survey. They worked under the supervision of the RESTATE partners. Briefings were organised to instruct the survey teams. In some cases (for example, in Amsterdam and Utrecht), interviewers were recruited from specific ethnic groups in order to increase the response rate among, for example, the Turkish and Moroccan residents on the estates. In other cases, family members translated questions during a face-to-face interview. The interviewers with an immigrant background were hired in those estates where this made sense. In some estates it was not necessary to do this because the number of immigrants was (close to) zero (as in most cases in CE Europe).

The questionnaire could be completed by the respondents themselves, but also by the interviewers in a face-to-face interview.

Data and Representativeness

The data file contains 4756 respondents. Nearly all respondents indicated their satisfaction with the dwelling and the estate. Originally, the data file also contained cases from the UK.

However, UK respondents were excluded from the analyses because of doubts about the reliability of the answers to the ethnic minority questions. This left 25 estates in nine countries. In general, older people and original populations are somewhat over-represented, while younger people and immigrant populations are relatively under-represented, despite the fact that in estates with a large minority population surveyors were also employed from minority ethnic groups. For younger people, this discrepancy probably derives from the extent of their activities outside the home, making them more difficult to reach. The under-representation of the immigrant population is presumably related to language and cultural differences. For more detailed information on the representation of population in each case, reference is made to the reports of the researchers in the different countries which can be downloaded from the programme website. All country reports indicate that despite these over- and under-representations, the survey results are valuable for the analyses of their own individual situation.

This dataset is the result of a team effort lead by Professor Ronald van Kempen, Utrecht University with funding from the EU Fifth Framework.