According to the 2021 Census, London was the most ethnically diverse region in England and Wales – 63.2% of residents identified with an ethnic minority group.

In 2011, 87.2 percent of the total population of the United Kingdom were white British. A positive net migration in recent years combined with the resultant international relationships following the wide-reaching former British Empire has contributed to an increasingly diverse population. Varied ethnic backgrounds Black British citizens, with African and/or African-Caribbean ancestry, are the largest ethnic minority population, at three percent of the total population. Indian Britons are one of the largest overseas communities of the Indian diaspora and make up 2.3 percent of the total UK population. Pakistani British citizens, who make up almost two percent of the UK population, have one of the highest levels of home ownership in Britain. Racism in the United Kingdom Though it has decreased in comparison to the previous century, the UK has seen an increase in racial prejudice during the first decade and a half of this century. Racism and discrimination continues to be part of daily life for Britain’s ethnic minorities, especially in terms of work, housing, and health issues. Moreover, the number of hate crimes motivated by race reported since 2012 has increased, and in 2017/18, there were 3,368 recorded offenses of racially or religiously aggravated assault with injury, almost a thousand more than in 2013/14.

London's Population Over Time

For trend prediction London's population

By Eva Murray [source]

About this dataset

This file contains data on the projected population of London from 2011 to 2050. The data comes from the London Datastore and offers a glimpse into the future of one of the world's most populous cities

How to use the dataset

Research Ideas

• Predicting crime rates based on population growth
• Determining which areas of London will need more infrastructure to accommodate the growing population
• Planning for different marketing and advertising strategies based on demographics

Acknowledgements

Data Source

License

License: Dataset copyright by authors - You are free to: - Share - copy and redistribute the material in any medium or format for any purpose, even commercially. - Adapt - remix, transform, and build upon the material for any purpose, even commercially. - You must: - Give appropriate credit - Provide a link to the license, and indicate if changes were made. - ShareAlike - You must distribute your contributions under the same license as the original. - Keep intact - all notices that refer to this license, including copyright notices.

Columns

File: central_trend_2017_base.csv | Column name | Description | |:--------------|:------------------------------------| | gss_code | The GSS code for the area. (String) | | district | The name of the district. (String) | | component | The population component. (String) | | sex | The sex of the population. (String) | | age | The age of the population. (String) | | 2011 | The population in 2011. (Integer) | | 2012 | The population in 2012. (Integer) | | 2013 | The population in 2013. (Integer) | | 2014 | The population in 2014. (Integer) | | 2015 | The population in 2015. (Integer) | | 2016 | The population in 2016. (Integer) | | 2017 | The population in 2017. (Integer) | | 2018 | The population in 2018. (Integer) | | 2019 | The population in 2019. (Integer) | | 2020 | The population in 2020. (Integer) | | 2021 | The population in 2021. (Integer) | | 2022 | The population in 2022. (Integer) | | 2023 | The population in 2023. (Integer) | | 2024 | The population in 2024. (Integer) | | 2025 | The population in 2025. (Integer) | | 2026 | The population in 2026. (Integer) | | 2027 | The population in 2027. (Integer) | | 2028 | The population in 2028. (Integer) | | 2029 | The population in 2029. (Integer) | | 2030 | The population in 2030. (Integer) | | 2031 | The population in 2031. (Integer) | | 2032 | The population in 2032. (Integer) | | 2033 | The population in 2033. (Integer) | | 2034 | The population in 2034. (Integer) | | 2035 | The population in 2035. (Integer) | | 2036 | The population in 2036. (Integer) | | 2037 | The population in 2037. (Integer) | | 2038 | The population in 2038. (Integer) | | 2039 | The population in 20 |

Acknowledgements

If you use this dataset in your research, please credit Eva Murray.

The population of the United Kingdom in 2024 was estimated to be approximately 69.3 million, with over 9.6 million people living in South East England. London had the next highest population, at almost 9.1 million people, followed by the North West England at 7.7 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, 3.2 million, and 1.9 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 650,000, while in Wales, it was the Cardiff Unitary Authority at around 384,000. Northern Ireland, on the other hand, has eleven local government districts, the largest of which is Belfast with a population of approxiamtely 352,000.

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).

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.

In 2024, there were estimated to be 976,481 people who were aged 33 in the United Kingdom, the most of any age in this year. The two largest age groups during this year were 30-34, and 35-39, at 4.8 million and 4.78 million people respectively. There is also a noticeable spike of 673,831 people who were aged 77, which is due to the high number of births that followed the end of the Second World War. Over one million born in 1964 In post-war Britain, there have only been two years when the number of live births was over one million, in 1947 and in 1964. The number of births recorded in the years between these two years was consistently high as well, with 1955 having the fewest births in this period at 789,000. This meant that until relatively recently, Baby Boomers were the largest generational cohort in the UK. As of 2024, there were approximately 13.4 million Baby Boomers, compared with 14 million in Generation X, 15 million Millennials, and 13.6 million members of Gen Z. The youngest generation in the UK, Generation Alpha, numbered approximately 9.2 million in the same year. Median age to hit 44.5 years by 2050 The population of the United Kingdom is aging at a substantial rate, with the median age of the population expected to reach 44.5 years by 2050. By comparison, in 1950 the average age in the United Kingdom stood at 34.9 years. This phenomenon is not unique to the United Kingdom, with median age of people worldwide increasing from 23.6 years in 1950 to a forecasted 41.9 years by 2100. As of 2024, the region with the oldest median age in the UK was South West England, at 43.7 years, compared with 35.7 in London, the region with the youngest median age.

Demographics and comorbidities by ethnicity for hospitalised SARS-CoV-2 positive patients from two London hospitals (March 1 –April 30, 2020).

This mapping tool enables you to see how COVID-19 deaths in your area may relate to factors in the local population, which research has shown are associated with COVID-19 mortality. It maps COVID-19 deaths rates for small areas of London (known as MSOAs) and enables you to compare these to a number of other factors including the Index of Multiple Deprivation, the age and ethnicity of the local population, extent of pre-existing health conditions in the local population, and occupational data. Research has shown that the mortality risk from COVID-19 is higher for people of older age groups, for men, for people with pre-existing health conditions, and for people from BAME backgrounds. London boroughs had some of the highest mortality rates from COVID-19 based on data to April 17th 2020, based on data from the Office for National Statistics (ONS). Analysis from the ONS has also shown how mortality is also related to socio-economic issues such as occupations classified ‘at risk’ and area deprivation. There is much about COVID-19-related mortality that is still not fully understood, including the intersection between the different factors e.g. relationship between BAME groups and occupation. On their own, none of these individual factors correlate strongly with deaths for these small areas. This is most likely because the most relevant factors will vary from area to area. In some cases it may relate to the age of the population, in others it may relate to the prevalence of underlying health conditions, area deprivation or the proportion of the population working in ‘at risk occupations’, and in some cases a combination of these or none of them. Further descriptive analysis of the factors in this tool can be found here: https://data.london.gov.uk/dataset/covid-19--socio-economic-risk-factors-briefing

FOCUSONLONDON2011:LABOURMARKET:BEYONDHEADLINES

In 2009, the overall proportion of the London working-age population who were in work was around two percentage points below the UK figure but this does not begin to tell the story of London’s labour market. London is a complex city of extremes with significant differences between various sub-groups of population. It is important to understand which groups are doing well and those doing poorly. This report, authored by Gareth Piggott in the Intelligence Unit, aims to shed light on some of the complexities of London’s labour market, beyond headline findings. It looks at employment rates and pay for different groups within the population and compares London with other regions and the UK average.

PRESENTATION:

What factors influence a Londoner’s pay and probability of employment? This interactive presentation finds the answer to this question. View the Labour Market Beyond Headlines presentation on Prezi

DATA:

All the data contained within the Labour Market: Beyond Headlines report as well as the data used to create the charts and maps can be accessed in this spreadsheet.

FACTS:

Some interesting facts from the data… ● Five boroughs with the highest employment rates among Black, Asian and Minority Ethnic (BAME) groups in 2009:

Bromley – 85 per cent Sutton – 81 per cent Havering – 78 per cent Richmond – 76 per cent Harrow – 75 per cent

-31. Haringey – 53 per cent -32. Tower Hamlets – 52 per cent ● Five boroughs with the highest rate of immigrants registering for a national insurance number in 2009/10 (per 10,000 residents):

Newham – 1,779 Brent – 1,142 Tower Hamlets - 784 Waltham Forest - 664 Ealing - 648

-32. Bromley - 90 -33. Havering - 82 ● Five boroughs with the highest percentage of residents working part-time:

Sutton – 21 per cent Bexley – 20 per cent Hillingdon – 17 per cent Bromley – 17 per cent Harrow – 16 per cent

-31. Tower Hamlets – 10 per cent -32. Westminster – 10 per cent

Multiple logistic regression analysis of the association between ethnicity mortality in SARS-CoV-2 positive patients in two London hospitals, adjusted for sex and age (March 1 –April 30, 2020).

Normal 0 false false false EN-GB X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Times New Roman","serif";} London is changing; with an expanding service-led economy, increasing wealth, consumption and leisure time for many of its residents and a growing multiplicity of tastes and preferences across a growing population. From November 3rd to December 1st, 4000 Londoners took part in Talk London’s Annual London Survey (ALS) to share their views on what makes London a great place to live, and what aspects of life in the capital could do with some improvement. The London Survey aims to address three key questions: To what extent are Londoners satisfied with their quality of life, and what drives this satisfaction? What do Londoners think are the most important drivers of a successful place to live and work? What does the balance of satisfaction and rank of different aspects of London life mean for experience and enjoyment of the city, and how can this be improved? Technical Details Results are based on interviews with 3861 London residents aged 18+ Interviews were carried out online via the Talk London community between 3rd November and 1st December 2015. Participants were self-selecting, and outreach undertaken via a number of known databases. This achieved a non-representative sample of Londoners. The data was weighted by age, gender and ethnicity to reflect the London population according to ONS data. Robustness was maintained through achieving a minimum quota of responses from each demographic group. This is the second London Survey conducted through Talk London for City Hall.

Multiple logistic regression analysis of the association between ethnicity and ICU admission in SARS-CoV-2 positive patients in two London hospitals, adjusted for sex, age and comorbidities (March 1 –April 30, 2020).

FOCUSON**LONDON**2011:**LABOUR**MARKET:**BEYOND**HEADLINES In 2009, the overall proportion of the London working-age population who were in work was around two percentage points below the UK figure but this does not begin to tell the story of London’s labour market. London is a complex city of extremes with significant differences between various sub-groups of population. It is important to understand which groups are doing well and those doing poorly. This report, authored by Gareth Piggott in the Intelligence Unit, aims to shed light on some of the complexities of London’s labour market, beyond headline findings. It looks at employment rates and pay for different groups within the population and compares London with other regions and the UK average. REPORT: Read the report in PDF format. https://londondatastore-upload.s3.amazonaws.com/fol/fol11-labour-cover-thumb.jpg" alt=""> PRESENTATION: What factors influence a Londoner’s pay and probability of employment? This interactive presentation finds the answer to this question. View the Labour Market Beyond Headlines presentation on Prezi MOTION CHART: This motion chart shows how the relationship, between a selection of labour market related indicators at borough level, changes over time. Motion chart MAP: These interactive borough maps help to geographically present a range of labour market data within London. Interactive Maps DATA: All the data contained within the Labour Market: Beyond Headlines report as well as the data used to create the charts and maps can be accessed in this spreadsheet. FACTS: Some interesting facts from the data… ● Five boroughs with the highest employment rates among Black, Asian and Minority Ethnic (BAME) groups in 2009: 1. Bromley – 85 per cent 2. Sutton – 81 per cent 3. Havering – 78 per cent 4. Richmond – 76 per cent 5. Harrow – 75 per cent -31. Haringey – 53 per cent -32. Tower Hamlets – 52 per cent ● Five boroughs with the highest rate of immigrants registering for a national insurance number in 2009/10 (per 10,000 residents): 1. Newham – 1,779 2. Brent – 1,142 3. Tower Hamlets - 784 4. Waltham Forest - 664 5. Ealing - 648 -32. Bromley - 90 -33. Havering - 82 ● Five boroughs with the highest percentage of residents working part-time: 1. Sutton – 21 per cent 2. Bexley – 20 per cent 3. Hillingdon – 17 per cent 4. Bromley – 17 per cent 5. Harrow – 16 per cent -31. Tower Hamlets – 10 per cent -32. Westminster – 10 per cent

The African Cities Population Database (ACPD) has been produced by the Birkbeck College of the University of London in 1990 at the request of the United Nations Environment Programme (UNEP) in Nairobi, Kenya. The database contains head counts for 479 cities in Africa which either have a population of over 20,000 or are capitals of their nation state. Listed are the geographical location of the cities and their population sizes. The material is primarily derived from a 1988 report of the Economic Commission for Africa (ECA) and several issues of the United Nations Demographic Yearbook (1973-81). Severe problems were found with several countries such as Togo, Ghana and South Africa. For South Africa, the data were derived from the United Nations Demographic Yearbook 1987.

WCPD is an Arc/Info point coverage. It has no projection, as the cities are located on the basis of their latitude and longitude. Coordinates were assigned on the basis of gazetteers or African maps. Each record in the data base contains details of the city name, country name, latitude and longitude of the city, and its population at a defined time. The Arc/Info attribute table contains the following fields:

AREA Arc/Info item PERIMETER Arc/Info item ACPD# Arc/Info item ACPD-ID Arc/Info item ID-NUM Unique number for each city CITY City name COUNTRY Country name CITY-POP Population of city proper YEAR Latest available year of collection

ACPD comes as an Arc/Info EXPORT file originally called "ACPD.E00" and contains 67 Kb of data. The file has a record length of 80 and a block size of 8000 (blocking factor = 100). The file can be read from tape using Arc/Info's TAPEREAD command or any other generic copy utility. If distributed on a diskette it can be read using the ordinary DOS 'COPY' command. The file has to be converted to Arc/Info internal format using its IMPORT command.

References to the WCPD data set can be found in:

• SERLL News, Issue No. 1, January 1991, Birkbeck College, London, UK.
• D. Rhind. "Cartographically-related research at Birkbeck College 1987-91" in: The Cartographic Journal, Vol. 28, June 1991, pp. 63-66.

The source of the WCPD data set as held by GRID is Birkbeck College, University of London, Department of Geography, London, UK.

39.8% of workers from the Indian ethnic group were in 'professional' jobs in 2021 – the highest percentage out of all ethnic groups in this role.

Unequal impact of COVID-19: BAME disproportionality The shielded population are those that have been defined by Government on medical grounds as medically vulnerable due to a clinical condition that puts them at High risk of developing complications from COVID-19 infection.

Those recommended to shield include: • Organ transplant recipients • Pregnant women with congenital heart conditions • Those with rare diseases such as homozygous sickle cell, SCID and others • Those on immunosuppression therapies • People with specific cancers or those with cancer undergoing chemo/radiotherapy.

Camden has so far received the contact details of almost 8,000 residents identified by central Government, with more records likely in future.

The details received do not contain the personal characteristics of those on the list, although we have received an overview from North Central London NHS. (note: above is broken down into shielder’s location and BAME ward profile, shielding population by ethnicity, shielded food need and dietary requirements).

Between April 2022 and March 2023, there were 24.5 stop and searches for every 1,000 black people in England and Wales. There were 5.9 for every 1,000 white people.

This dataset provides Census 2021 estimates that classify usual residents in England and Wales by their country of birth, this dataset comprises a more detailed breakdown of birth country. The estimates are as at Census Day, 21 March 2021.

Census 2021 rounded migration estimates for local authorities in England and Wales were originally released on 28 June 2022 in rounded form. The bulletin explored change over time, regional variations and the composition of the population by sex and by five-year age group.

This update provides unrounded migration estimates from Country level down to Output Area.

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.

Coverage

Census 2021 statistics are published for the whole of England and Wales. Data are also available in these geographic types:

• country - for example, Wales
• region - for example, London
• local authority - for example, Cornwall
• health area – for example, Clinical Commissioning Group
• statistical area - for example, MSOA or LSOA

Country of birth

The country in which a person was born.

For people not born in one of in the four parts of the UK, there was an option to select "elsewhere".

People who selected "elsewhere" were asked to write in the current name for their country of birth.

This zip file contains the Standard Area Measurements (SAM) for the 2021 Statistical Areas in England and Wales as at Census Day (21 March 2021). This includes the Output Areas (OA), Lower layer Super Output Areas (LSOA), Middle layer Super Output Areas (MSOA), the Lower-Tier Local Authorities (LTLA) including the Unitary Authorities (E06 and W06), Non-metropolitan Districts (E07), Metropolitan Districts (E08) and London Boroughs (E09), the Upper-Tier Local Authorities (UTLA) including the Unitary Authorities (E06 and W06), Counties (E10), Metropolitan Districts (E08) and London Boroughs (E09), the Regions including the country of Wales, Countries and National. All measurements provided are ‘flat’ as they do not take into account variations in relief e.g. mountains and valleys. Measurements are given in hectares (10,000 square metres) to 2 decimal places and square kilometres to 4 decimal places. Four types of measurements are included: total extent (AREAEHECT), area to mean high water (coastline) (AREACHECT), area of inland water (AREAIHECT) and area to mean high water excluding area of inland water (land area) (AREALHECT). The Eurostat-recommended approach is to use the ‘land area’ measurement to compile population density figures.This V2 is because the user guide name was too long.PLEASE NOTE:There is an extremely small OA with the code E00187556 and measures 400 centimetres squared. This is because all the population and household points are centred around a very small space and to make sure it was in threshold it was manually changed to make it within threshold.Click the Download button to download the files