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Chart and table of population level and growth rate for the London, UK metro area from 1950 to 2025.
By Eva Murray [source]
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
- 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
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.
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 |
If you use this dataset in your research, please credit Eva Murray.
The 2023 mid-year estimate (MYE) is the current official estimate of the population for local authorities in England and Wales. Estimates are produced annually by the Office for National Statistics (ONS) and the 2023 MYE was published on 15 July 2024.
The previous MYE series (for the period 2012-2020) starts with the 2011 census estimate. Each subsequent year’s population is calculated by adding estimates of births, deaths and migration to the previous year’s population. The 2021 MYE represents a break in this series as it uses the 2021 census as its base.
The ONS revised the 2012-2020 MYE series to bring it in line with the 2021 MYE, so that comparisons could be made between between this series and the previous series. The values plotted on the chart are the revised values of the previously published estimates for 2011 to 2022, together with the estimates for 2023.
London’s 2023 population was 8,945,310. The first chart below shows the 2023 MYE in the context of previous estimates. There is an uptick after a temporary decrease in population which we attribute to the COVID-19 pandemic.
https://cdn.datapress.cloud/london/img/dataset/763802e7-af17-4b77-995d-44c494fb68af/2025-06-09T20%3A56%3A29/666cd938678c5361c953cb608e532416.webp" width="1152" alt="Embedded Image" />
Births, deaths and migration form the components of population change.
The 2023 MYE value for births was 4% lower than that in 2022, and for deaths 3% higher. The consequent value for natural change (births - deaths) was 10% lower than in 2022.
At -129,000, the value for domestic migration (migration within the UK) was nearly 3% higher than the 2022 value, so still significantly lower than the peak net outflow during the COVID-19 pandemic of -186,000. An outflow of domestic migrants from London is normal and this has been the case each year for the last two decades. This flow is partly because many international in-migrants initially settle in London before moving out to other parts of the UK. The second move in this sequence is counted as a domestic migration.
There has been a marked change in immigration since 2021. This can be attributed to the end of free movement for EU nationals, easing of travel restrictions following the COVID 19 pandemic, and the war in Ukraine. At over 150,000, the 2023 MYE value for London’s net international migration was more than 18% higher than 2022, and represents a considerable increase from 78,000 in 2021.
https://cdn.datapress.cloud/london/img/dataset/763802e7-af17-4b77-995d-44c494fb68af/2025-06-09T20%3A56%3A29/cb537d44954e11f7f7b7e2189ae74629.webp" width="1152" alt="Embedded Image" />
https://cdn.datapress.cloud/london/img/dataset/763802e7-af17-4b77-995d-44c494fb68af/2025-06-09T20%3A56%3A29/6d4cf55b96888dbc3aacfc1de5c664ec.webp" width="1152" alt="Embedded Image" />
The release of the next mid-year estimates is expected in July 2025.
The full ONS mid-year population estimates release and back series can be found on the ONS website: https://www.ons.gov.uk/peoplepopulationandcommunity/populationandmigration/populationestimates.
For information relating to London’s population see the demography pages of the London Datastore: https://data.london.gov.uk/demography/ or email demography@london.gov.uk.
An in-depth review of the available evidence for population change in London since the start of the coronavirus pandemic has been produced by GLA Demography: https://data.london.gov.uk/dataset/population-change-in-london-during-the-pandemic.
In 2023, the population of the United Kingdom reached 68.3 million, compared with 67.6 million in 2022. The UK population has more than doubled since 1871 when just under 31.5 million lived in the UK and has grown by around 8.2 million since the start of the twenty-first century. For most of the twentieth century, the UK population steadily increased, with two noticeable drops in population occurring during World War One (1914-1918) and in World War Two (1939-1945). Demographic trends in postwar Britain After World War Two, Britain and many other countries in the Western world experienced a 'baby boom,' with a postwar peak of 1.02 million live births in 1947. Although the number of births fell between 1948 and 1955, they increased again between the mid-1950s and mid-1960s, with more than one million people born in 1964. Since 1964, however, the UK birth rate has fallen from 18.8 births per 1,000 people to a low of just 10.2 in 2020. As a result, the UK population has gotten significantly older, with the country's median age increasing from 37.9 years in 2001 to 40.7 years in 2022. What are the most populated areas of the UK? The vast majority of people in the UK live in England, which had a population of 57.7 million people in 2023. By comparison, Scotland, Wales, and Northern Ireland had populations of 5.44 million, 3.13 million, and 1.9 million, respectively. Within England, South East England had the largest population, at over 9.38 million, followed by the UK's vast capital city of London, at 8.8 million. London is far larger than any other UK city in terms of urban agglomeration, with just four other cities; Manchester, Birmingham, Leeds, and Glasgow, boasting populations that exceed one million people.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
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).
http://reference.data.gov.uk/id/open-government-licencehttp://reference.data.gov.uk/id/open-government-licence
ONS Mid-year estimates (MYE) of resident populations for London boroughs are available in the following files:
Read the GLA Intelligence Updates about the MYE data for 2011 and 2012.
Mid-year population by single year of age (SYA) and sex, for each year 1999 to 2014.
ONS mid-year estimates data back to 1961 total population for each year since 1961.
These files take into account the revised estimates released in 2010.
Ward level Population Estimates
London wards single year of age data covering each year since 2002.
Custom Age Range Tool
An Excel tool is available that uses Single year of age data that enables users to select any age range required.
ONS policy is to publish population estimates rounded to at least the nearest hundred persons. Estimates by single year of age, and the detailed components of change are provided in units to facilitate further calculations. They cannot be guaranteed to be as exact as the level of detail implied by unit figures.
Estimates are calculated by single year of age but these figures are less reliable and ONS advise that they should be aggregated to at least five-year age groupings for use in further calculations, onwards circulation, or for presentation purposes. (Splitting into 0 year olds and 1-4 year olds is an acceptable exception).
ONS mid-year population estimates data by 5 year age groups going all the way back to 1981, are available on the NOMIS website.
Data are Crown Copyright and users should include a source accreditation to ONS - Source: Office for National Statistics. Under the terms of the Open Government License (OGL) and UK Government Licensing Framework, anyone wishing to use or re-use ONS material, whether commercially or privately, may do so freely without a specific application. For further information, go to http://www.nationalarchives.gov.uk/doc/open-government-licence/ or phone 020 8876 3444.
For a detailed explanation of the methodology used in population estimates, see papers available on the Population Estimates section of the ONS website. Additional information can also be obtained from Population Estimates Customer Services at pop.info@ons.gsi.gov.uk (Tel: 01329 444661).
http://reference.data.gov.uk/id/open-government-licencehttp://reference.data.gov.uk/id/open-government-licence
This table shows resident population of London broken down by nationality, showing data for London's largest communities in 2004, and 2008 to 2012.
Also shows the percentage of the UK community that live in London.
The Annual Population Survey (APS) sampled around 325,000 people in the UK (around 28,000 in London). As such all figures must be treated with some caution. 95% confidence interval levels are provided.
All numbers based on fewer than 50 surveys have been suppressed.
Numbers have been rounded to the nearest thousand.
The APS is the only inter-censal data source that can provide estimates of the population stock by nationality. The data have a range of limitations, particularly in relation to their poor coverage of short-term migrants or recent arrivals. They also struggle to provide estimates for small migrant populations due to small sample sizes.
Information about Londoners by Country of Birth using APS data, can be found in DMAG Briefing 2008-05 http://legacy.london.gov.uk/gla/publications/factsandfigures/dmag-briefing-2008-05.pdf
IMPORTANT NOTE: These projections have been superceded, please see https://data.london.gov.uk/demography/ for the latest GLA projections. The 2012 round of projections were the first to incorporate initial results from the 2011-Census. The projections adopted ONS’s subsequent 2011 mid-year estimate as the base population from which to project forward. No migration data was available from the census to update the models so these used a mix of modified rates from the 2001 Census and rates taken from ONS’s 2010-based subnational projections. No population back-series consistent with the 2011 mid-year estimate was available at the time the projections were being produced. A consistent back-series is crucial for the projection process as it is used to generate the rates and propensities governing fertility, mortality and migration used in the projections. The GLA produced its own back-series consistent with 2001 and 2011 mid-year estimates. For this round, both trend-based and development-linked projections were produced. The development-linked projections made use of trajectories derived from the 2009 Strategic Housing Land Availability Assessment. Household formation rates were based on those from DCLG’s 2011-based household projections.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Resident Population in New London County, CT was 268.80500 Thous. of Persons in January of 2021, according to the United States Federal Reserve. Historically, Resident Population in New London County, CT reached a record high of 274.17300 in January of 2012 and a record low of 230.65400 in January of 1970. Trading Economics provides the current actual value, an historical data chart and related indicators for Resident Population in New London County, CT - last updated from the United States Federal Reserve on June of 2025.
https://data.gov.uk/dataset/ceeb3c1a-23b0-48ab-8af1-184462097201/gla-response-to-ons-2012-based-subnational-population-projections#licence-infohttps://data.gov.uk/dataset/ceeb3c1a-23b0-48ab-8af1-184462097201/gla-response-to-ons-2012-based-subnational-population-projections#licence-info
The GLA's response to the ONS 2012-based Subnational Population Projections consultation
As of June 2021 there were approximately 16 thousand Colombian nationals resident in the United Kingdom. Throughout this period the number of Colombian nationals has fluctuated, from between 12 thousand and 19 thousand residents.
IMPORTANT NOTE: These projections have been superceded, please see https://data.london.gov.uk/demography/ for the latest GLA projections. The 2013 round of projections featured a large number of variants including: Three variants of trend-based projection (Central, High, Low) that used different migration assumptions and which were used to inform the Strategic Housing Market Assessment (SHMA) and Further Alterations to the London Plan (FALP). A further trend-based projection that took the migration assumptions from the Central projection, but updated the fertility assumptions to be in line with assumptions taken from ONS’s 2012-based National Population Projections. Two variants of development-linked projections using development trajectories derived from the 2013 Strategic Housing Land Availability Assessment. These variants make use of different methodologies to incorporate development data into the population projections. Two Updates were released as part of the 2013 round. These detailed results and methodologies for the initial projection releases. The capped-household size model was released subsequently in response to demand from colleagues in some local authorities. An explanation of this and other methodologies is presented in the Technical Note. For general use, the GLA advises the use of the SHLAA-based projection using the capped household size model. This gives rise to a broadly similar total population for London as the Central trend-based projection used in the SHMA/FALP, but with a geographical distribution of population growth that better reflects likely future development. For the 2013 round, the decision was made to release the results of the ward-based projections by single year of age and gender, rather than in five-year age bands as in previous years. This change was to allow users to aggregate to the age bands of interest to them. It is important to note that the provision of these projections by single year of age and at unit level is to facilitate their subsequent use and is not an indication of their level of accuracy. Users should be aware that small area population estimates and projections are subject to high levels of uncertainty and potential inaccuracy. The custom-age population tool is here .
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in New London. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2013 and 2023, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Racial categories include:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for New London median household income by race. You can refer the same here
The Going for Gold: the Intangible Effects of the 2012 Olympic Games in London, Paris and Berlin, 2011-2013 project measured the intangible impact of the 2012 Olympic Games in London, Paris and Berlin. It achieved this by gathering primary longitudinal data from individuals living in each of the three cities over the period 2011-2013 to see what effect, if any, the Olympics had on a comprehensive set of subjective well-being (SWB) outcomes. In particular, it uniquely showed how these outcomes relate to one another and change over time. Importantly for public policy, it also sheded light on the degree to which different components of SWB are predictive of changes in behaviour that policy-makers are concerned with (e.g. diet and physical activity).
The survey research comprised three main elements:
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in New London. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2011 and 2021, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..
Key observations
https://i.neilsberg.com/ch/new-london-mn-median-household-income-by-race-trends.jpeg" alt="New London, MN median household income trends across races (2011-2021, in 2022 inflation-adjusted dollars)">
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
Racial categories include:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for New London median household income by race. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in London township. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2013 and 2023, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Racial categories include:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for London township median household income by race. You can refer the same here
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
Excel Age-Range creator for Office for National Statistics (ONS) Mid year population estimates (MYE) covering each year between 1999 and 2016 These files take into account the revised estimates for 2002-2010 released in April 2013 down to Local Authority level and the post 2011 estimates based on the Census results. Scotland and Northern Ireland data has not been revised, so Great Britain and United Kingdom totals comprise the original data for these plus revised England and Wales figures. This Excel based tool enables users to query the single year of age raw data so that any age range can easily be calculated without having to carry out often complex, and time consuming formulas that could also be open to human error. Simply select the lower and upper age range for both males and females and the spreadsheet will return the total population for the range. Please adhere to the terms and conditions of supply contained within the file. Tip: You can copy and paste the rows you are interested in to another worksheet by using the filters at the top of the columns and then select all by pressing Ctrl+A. Then simply copy and paste the cells to a new location. ONS Mid year population estimates Open Excel tool (London Boroughs, Regions and National, 1999-2016) Also available is a custom-age tool for all geographies in the UK. Open the tool for all UK geographies (local authority and above) for: 2010, 2011, 2012, 2013, 2014 and 2015. This full MYE dataset by single year of age (SYA) age and gender is available as a Datastore package here. Ward Level Population estimates Single year of age population tool for 2002 to 2015 for all wards in London. New 2014 Ward boundary estimates Ward boundary changes in May 2014 only affected three London boroughs - Hackney, Kensington and Chelsea, and Tower Hamlets. The estimates between 2001-2013 have been calculated by the GLA by taking the proportion of a the old ward that falls within the new ward based on the proportion of population living in each area at the 2011 Census. Therefore, these estimates are purely indicative and are not official statistics and not endorsed by ONS. From 2014 onwards, ONS began publishing official estimates for the new ward boundaries. Download here.
https://www.sci-tech-today.com/privacy-policyhttps://www.sci-tech-today.com/privacy-policy
Checkout.com Statistics: In 2024, Checkout.com will be at the cutting edge of the global payments industry, facilitating the issuing and processing of secure transactions by various businesses. Founded in 2012, this London-based company keeps evolving in a world of fast-emerging e-commerce and financial technology.
Founded in 2012 and headquartered in London, Checkout.com processed over USD 225 billion in transaction volume across multiple countries in 2024 . The company achieved 45 % year‑over‑year net revenue growth in its core commerce and fintech business, which handled 95 % of total volumes, and returned to profitability by the end of 2024. Its global net revenue increased by 40 % overall in 2024.
Checkout.com added over 300 enterprise merchants, and more than 40 merchants now process over USD 1 billion annually on its platform. On Black Friday 2024, 67 merchants each processed over USD 10 million in a single day—a 63 % increase from 2023. Its AI‑powered Intelligent Acceptance system optimizes over 60 million transactions per day, contributing USD 9 billion (since launch) to merchant revenue, with more than USD 10 billion unlocked overall. The company grew headcount by 12 % in 2024 and targets a 15 % increase in 2025, along with a 30 % net revenue growth goal for that year.
Here is a detailed overview of Checkout.com's statistics based on its offerings, success, and growth in 2025.
London Energy and Greenhouse Gas Inventory (LEGGI) 2012 showing greenhouse gas emissions and energy consumption for London. The is the interim version of the LEGGI 2012, which will be confirmed when final confirmed data on energy use is published by the Department of Energy and Climate Change (DECC), expected in 2015. LEGGI shows estimates of energy consumption and carbon dioxide (CO2) emissions from Homes, Workplaces and Transport within the Greater London area. It is produced by the Greater London Authority on an annual basis to measure progress against the Mayor's Climate Change Mitigation and Energy Strategy. LEGGI uses sub-regional energy (electricity, gas and other fuels) and CO2 data published by DECC for Homes and Workplaces, and data from the London Atmospheric Emissions Inventory (LAEI) for energy and CO2 data for Transport. Interim results show that in 2012, emissions in London were 40.75 MtCO2e. This is a 10% reduction from 1990 figures and a 19% reduction since their peak in 2000. CO2e levels have increased by 4.5% (1.76 MtCO2e) from 2011 to 2012 (38.99 to 40.75 MtCO2e respectively). It is estimated this is due to an increase in the CO2e intensity of the electricity grid, increased gas use due to a cold winter in 2012 and an increased population in London.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in London Mills. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2013 and 2023, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Racial categories include:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for London Mills median household income by race. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Chart and table of population level and growth rate for the London, UK metro area from 1950 to 2025.