This graph presents the population density of the ten leading business cities in the United Kingdom (UK) in 2014. London has a significant lead in the ranking as there are 1078 more people per km² than in Bristol. Leeds, at *** people per km², is the least densely populated city on the list.

As of 2024, the population density in London was by far the highest number of people per square km in the UK, at *****. Of the other regions and countries which constitute the United Kingdom, North West England was the next most densely populated area at *** people per square kilometer. Scotland, by contrast, is the most sparsely populated country or region in the United Kingdom, with only ** people per square kilometer. Countries, regions, and cities In 2024, the population of the United Kingdom reached **** million. The majority of people in the UK live in England, which had a population of **** million that year, followed by Scotland at *** million, Wales at **** million and finally Northern Ireland at just over *** million. Within England, the South East was the region with the highest population at almost *** million, followed by London at just over *****million. In terms of cities, London is the largest urban agglomeration in the United Kingdom, followed by Manchester, and then Birmingham, although both these cities combined would still have a smaller population than the UK capital. London calling London's huge size in relation to other UK cities is also reflected by its economic performance. In 2023, London's GDP was over ****billion British pounds, around a quarter of UK's overall GDP. In terms of GDP per capita, Londoners had a GDP per head of ****** pounds, compared with an average of ****** for the country as a whole. Productivity, expressed as by output per hour worked, was also far higher in London than the rest of the country. In 2023, London was around *****percent more productive than the rest of the country, with South East England the only other region where productivity was higher than the national average.

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 graph displays the ratio between the annual average population and the land area of different regions within the United Kingdom (UK) as of 2015. The data shows that in Eastern Inner London there were on average ****** people per square kilometer, whereas in the Highlands and islands of Scotland there was an average of **** people per square kilometer. Information regarding the population density of London and other UK cities can be found here.

Population of Urban Agglomerations with 300,000 Inhabitants or more in 2014, by city, 1950-2030 (thousands). Data for 1,692 cities contained in the Excel file. Note: Each country has its own definition of what is 'urban' and therefore use exercise caution when comparing cities in different countries. Data available from the United Nations, Department of Economic and Social Affairs, Population Division (2014). World Urbanization Prospects: The 2014 Revision, CD-ROM Edition. Further detail of population estimates, land area, and population density for world urban areas with over 500,000 people (924 areas) is available with Demographia's World Urban Areas report (2014). Much of this data is based on the UN urban agglomerations, though a range of other sources are also used.

This dataset provides Census 2021 estimates that classify usual residents in England and Wales by population density (number of usual residents per square kilometre). The estimates are as at Census Day, 21 March 2021.

Area type

Census 2021 statistics are published for a number of different geographies. These can be large, for example the whole of England, or small, for example an output area (OA), the lowest level of geography for which statistics are produced.

For higher levels of geography, more detailed statistics can be produced. When a lower level of geography is used, such as output areas (which have a minimum of 100 persons), the statistics produced have less detail. This is to protect the confidentiality of people and ensure that individuals or their characteristics cannot be identified.

Lower Tier Local Authorities

Lower tier local authorities provide a range of local services. In England there are 309 lower tier local authorities. These are made up of non-metropolitan districts (181), unitary authorities (59), metropolitan districts (36) and London boroughs (33, including City of London). In Wales there are 22 local authorities made up of 22 unitary authorities. Of these local authority types, only non-metropolitan districts are not additionally classified as upper tier local authorities.

Comprehensive socio-economic dataset for United Kingdom including population demographics, economic indicators, geographic data, and social statistics. This dataset covers key metrics such as GDP, population density, area, capital city, and regional classifications.

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

The degree of urbanization in the United Kingdom amounted to 84.88 percent in 2024. This shows almost a three percentage point increase over the past decade. The upward trend, though slow, has been consistently positive. What is urbanization? The rate of urbanization indicates the shift away from rural living as people come together in densely populated cities. The United Kingdom is much more urban than the worldwide average. This puts people in closer proximity to jobs, health care, stores, and social opportunities, leading to better economic, health, and social outcomes. For example, areas with higher urbanization have a higher average life expectancy at birth. The darker side of urbanization London is the United Kingdom’s largest city and arguably the financial capital of Europe. However, this economic success has led to increasingly high rental prices, which is an indication of the high cost of living in the city. The higher population density can also lead in an increase in crime. London has one of the highest homicide rates in England and Wales. In spite of these drawbacks, London continues to draw millions of overseas tourists every year.

This dataset portrays the boundaries of ‘Settlements’ in Scotland as at 2001 Census. There is widespread interest in statistics for the built-up areas in Scotland as most of the population lives in a built-up environment. When the former two-tier local government structure of regions and districts came into being in May 1975, the small local authorities known as large and small burghs were lost. However, Census users stated that there was a need to know the population (and characteristics) of built-up areas. There are 2 datasets which are designed to show the boundaries of ‘urban areas’ in Scotland: ‘Localities’ and ‘Settlements’. While “Settlements’ can go a long way in defining the towns and cities in Scotland, some are very extensive and have grouped together some very large populations. For example the settlement of ‘Greater Glasgow’ has a large population but no breakdown was given of the settlement into any constituent towns or cities such as Airdrie or Paisley. Accordingly, since 2001, the larger ‘Settlements’ have been divided into ‘Localities’ using as a basis the areas so designated in the 1991 Census report ‘Key statistics for ‘localities’ in Scotland (ISBN 0-11-495736-3)’. For the 2001 Census, NRS had developed a new process to identify ‘Settlements’ which were defined as: ‘A collection of contiguous high population density postcodes whose total population was 500 or more, bounded by low density postcodes (or water).’

The features in the order shown under “Feature name” are: GDP, inter-state distance based on lat-long coordinates, gender, ethnicity, quality of health care facility, number of homeless people, total infected and death, population density, airport passenger traffic, age group, days for infection and death to peak, number of people tested for COVID-19, days elapsed between first reported infection and the imposition of lockdown measures at a given state.

In 2024, the population of the United Kingdom was around **** million, with approximately **** million women and **** million men. Since 1953, the male population of the UK has grown by around *** million, while the female population has increased by approximately **** million. Throughout this provided time period, the female population of the UK has consistently outnumbered the male population. UK population one of the largest in Europe As of 2024, the population of the United Kingdom was the largest it has ever been, and with growth expected to continue, the forecasted population of the United Kingdom is expected to reach over ** million by the 2030s. Despite the relatively small size of its territory, the UK has one of the largest populations among European countries, slightly larger than France but smaller than Russia and Germany. As of 2024, the population density of the UK was approximately *** people per square kilometer, with London by far the most densely populated area, and Scotland the most sparsely populated. Dominance of London As seen in the data regarding population density, the population of the United Kingdom is not evenly distributed across the country. Within England, London has a population of over **** million, making it significantly bigger than the next largest cities of Birmingham and Manchester. As of 2024, Scotland's largest city, Glasgow had a population of around *** million, with the largest cities in Northern Ireland, and Wales being Belfast and Cardiff, which had populations of around ******* and ******* respectively.

This dataset includes synthetically produced data from 10 different cities (Istanbul, Nablus, Chattogram, Cox’s Bazaar, Nairobi, Nakuru, Quito, Kokhana, Rapti and Darussalam) for a future urban context. The data includes physical elements in a city such as buildings, roads, and power networks, as well as social elements such as households and individuals. The dataset contains a maximum of 9 different data types, described below. For some cities power and road network data were not considered due to context specific priorities. landuse: The land use plan data depicting how the land will be zoned and used in the next fifty years within the area or interest. The attributes include the land use type, areal coverage in hectares, maximum population density and existing population. building: Data representing the building footprints that will emerge as a result of the future exposure generation procedure. It includes the attributes of the building such as its identifier number, construction type, number of floors, footprint area, occupation type and construction code level. road nodes: Data representing the points where road segments (edges) are connected to each other, including the identifier number for each node. road edges: Data representing the road segments, including the ID numbers of the starting and ending point (node). power nodes: Data representing the points where power lines (edges) are connected to each other, including the identifier number for each node. power edges: Data representing the power segments, including the including the ID numbers of the starting and ending point (node). household: Data that contains social attributes of a household living in a building. The attributes include number of individuals, income level and commonly used facility ID (such as hospital). individual: Data that contains the attributes of the individuals that are a part of a household. The attributes are age, gender, school ID (if relevant), workplace ID (if relevant) and last attained education level. Distribution table: The future projections for each city that identifies the socio-demographic changes and expected physical development in the next 50 years. The data can be used in geospatial platforms. The nomenclature for the data is as follows: “CitynameFutureExposureDataset/Cityname_CommunityCode_DataType”. This dataset was created as case studies for the Tomorrows Cities: Tomorrowville virtual testbed. It is supported by NERC as part of the GCRF Urban Disaster Risk Hub (NE/S009000/1).

Values of parameters.

Multiple linear regression table with R2, coefficient and p value for input features (population density, normalized busy airport, pre-infected count, pre-death count) and observed factors (post-infected count and post-death count).

Source Lden Lnight Lday Levening LAeq,16hr Belfast Agglomeration - George Best Belfast City Airport An area of a territory that has a population exceeding 100,000 people and a population density equal or greater to 500 people per km2 with a population density that allows it to be considered as an urbanised area. The Belfast Agglomeration comprises the urban areas of Belfast, Newtownabbey, Carrickfergus, Lisburn, Holywood, Dundonald, Bangor, Carryduff and a small number of small, urbanised areas in North Down.The day-evening-night level indicator for overall annoyance, based upon annual average A-weighted long-term sound over 24 hours. It includes a 5 dB(A) penalty for evening noise (19:00-23:00) and a 10 dB(A) penalty for night-time noise (23:00-07:00)The night level indicator for sleep disturbance, based upon the A-weighted, Leq (equivalent sound level) determined over all the 8-hour night periods (23:00-07:00) of a yearThe day level, the A-weighted, Leq (equivalent sound level), determined over all the 12-hour day periods (07:00-19:00) of a yearThe evening level, the A-weighted, Leq (equivalent sound level) determined over all the 4-hour evening periods (19:00-23:00) of a yearThe equivalent continuous sound level in dB(A) that, over the period 07:00-23:00 hours, contains the same sound energy as the actual fluctuating sound that occurred in that period The Common Noise Assessment Methods in Europe (CNOSSOS) methodology introduced a significant number of new data requirements and approaches to computing noise emissions to improve the quality of the maps. Thus round 4 noise mapping results should not be compared to previous rounds

In 2024, over 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 just over 3.03 million, closely followed by Greater Manchester at three million, and then West Yorkshire with a population of 2.4 million. Kent, Essex, and Hampshire were the three next-largest counties in terms of population, each with just over 1.9 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 2024, the most-populated Scottish council area was Glasgow City, with over 650,000 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.

The Multiply Programme, announced by the then Chancellor in 2021, was a three-year adult learning programme with an objective to increase functional numeracy levels within the adult population across the UK. The city’s wide skills disparity, combined with its population density, resulted in a total Multiply funding allocation for the GLA of £41m for the programme duration of September 2022 to March 2025, the highest for any area in England. The London Multiply programme was delivered by 56 providers, all of whom were already delivering GLA Adult Skills Fund provision. To increase awareness of, and enrolment in, London Multiply provision, £3.5m of the GLA’s Multiply allocation was reserved for activities to support engagement and growth in the learner population. This included £1.4m for community engagement and outreach, funding an expansion of the Community Outreach Programme to increase its numeracy focus, and the London Multiply Roadshow.

In addition to the ten core interventions for Multiply (both nationally and in London), London Multiply identified additional target groups, including underserved groups and those less likely to engage in adult education. These included:

■ learners for whom English is not their first language;

■ learners with special educational needs and/or disabilities; and

■ low wage earners and those most likely to be impacted by the rising cost of living

The Institute of Employment Studies were commissioned to undertake an evaluation of the London Multiply programme. The evaluation of London Multiply set out to explore the extent to which the programme achieved its aim of improving adult numeracy across the city. It also aimed to strengthen evidence on what works in delivering adult numeracy programmes, particularly for underserved communities. A range of research methods were used to explore the experiences of London Multiply from the viewpoints of different stakeholders, including classroom observations, provider interviews, surveys and focus groups. The report and executive summary sets out the key evaluation findings and provides recommendations to enhance the legacy of London Multiply.

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/