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United Kingdom Population: London data was reported at 8,825.001 Person th in 2017. This records an increase from the previous number of 8,769.659 Person th for 2016. United Kingdom Population: London data is updated yearly, averaging 7,154.000 Person th from Jun 1971 (Median) to 2017, with 47 observations. The data reached an all-time high of 8,825.001 Person th in 2017 and a record low of 6,729.000 Person th in 1988. United Kingdom Population: London data remains active status in CEIC and is reported by Office for National Statistics. The data is categorized under Global Database’s United Kingdom – Table UK.G001: Population.
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TwitterBy 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.
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Context
The dataset tabulates the London population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of London. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.
Key observations
The largest age group was 18 - 64 years with a poulation of 6,108 (58.95% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
Age cohorts:
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 Population by Age. You can refer the same here
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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).
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Mid-year (30 June) estimates of the usual resident population for electoral wards in England and Wales. Note: this page is no longer updated. Latest estimates, and all data for mid-2012 onwards, are available on the Nomis website.
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TwitterIn 2024, the population of the United Kingdom reached 69.3 million, compared with 68.5 million in 2023. The UK population has more than doubled since 1871 when just under 31.5 million lived in the UK and has grown by around 10.4 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 58.6 million people in 2024. By comparison, Scotland, Wales, and Northern Ireland had populations of 5.5 million, 3.2 million, and 1.9 million, respectively. Within England, South East England had the largest population, at over 9.6 million, followed by the UK's vast capital city of London, at almost 9.1 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.
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Mid-year (30 June) estimates of the usual resident population for Lower layer Super Output Areas (LSOAs) in England and Wales by single year of age and sex.
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Context
The dataset tabulates the London population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for London. The dataset can be utilized to understand the population distribution of London by age. For example, using this dataset, we can identify the largest age group in London.
Key observations
The largest age group in London, OH was for the group of age 40-44 years with a population of 798 (7.70%), according to the 2021 American Community Survey. At the same time, the smallest age group in London, OH was the 85+ years with a population of 266 (2.57%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
Age groups:
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 Population by Age. You can refer the same here
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TwitterThe GLA Demography Team offers a bespoke population projection service to London local authorities. Boroughs can request population projections based on their own choice of assumptions about future housing delivery. These assumptions are submitted to the team via a standard template. The resulting projections are referred to as the Borough Preferred Option (or BPO) and are commonly used to help support local planning and service delivery. The GLA does not make the BPO projections and submitted housing trajectories publicly available or share them with anyone other than the commissioning borough. Boroughs wishing to publish BPO projections themselves are free to do so. This service is offered as an optional, free of charge service to London authorities, and is intended to provide users with an alternative to the standard projections that the GLA publishes on the London Datastore. Access to outputs The BPO projections are shared with users via private pages on the London Datastore. These pages include all outputs produced under the service since 2019. To access outputs, users must have a current Datastore account linked to their local government email address and contact the Demography Team to request permissions be granted for the individual pages relating to their local authority. Notes on completing the development data template What periods do the year labels in the template refer to? The year labels in the template nominally refer to periods ending in the middle of that year (i.e. 2025 refers to the 12 month period ending June 30th 2025). However, development data is often readily available only for financial years and it is common to submit data on this basis, with financial year 2024/25 aligning with 2025 in the template. Development trajectory The cells in the template represent annual net changes in the number of dwellings. The current template covers the period 2012-2041 and are pre-populated with estimated annual net dwelling changes for the period 2012-2019, based on modelling of data from the London Development Database. For the 2022-based and subsequent projections, dwelling stock estimates are anchored to the results of the 2021 Census and it is not essential to include data for dwelling stock changes that occured prior to this point (i.e. up to and including '2021'). Past development data from 2022 up to the base year of the projections, affects the projected population in all future years as dwelling stock in the base year is used in the estimation of relationships between housing and population in the model. We are not yet able to pre-populate templates with estimated dwelling changes for years after 2019. In future rounds of projections we intend to incorporate data from the Planning Data Hub. Blank cells are treated as missing rather than no change, and data based on the 2017 Strategic Housing Land Availability Assessment (SHLAA) will be substituted in its place. To indicate no net change in dwellings in a ward in a particular year, users must explicitly enter a zero in the relevant cell. Self-contained and Non-self-contained development Self-contained development should be used for standard residential development (e.g. new build/conversion). Non-self-contained development should be used for development such as student accommodation. This should be added to the template as the equivalent of self-contained units (i.e. a ratio of non-self-contained to self-contained should be applied). The London Plan ratios are: · 2.5:1 for student housing · 1:1 for housing for older people (C2) · 1.8:1 for all other non-self-contained housing Requesting projections based on multiple different housing scenarios While we are willing to try and accommodate requests for multiple sets of projections, capacity in the team is limited and there is no guarantee that we will be able to do so in a timely manner. Please do not Add rows or columns to the template Change ward names or codes Include formulas or new formatting Add notes or comments to the template Return data in a different version of the template to those included here Please return completed templates to: demography@london.gov.uk
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TwitterThe housing-led projections reconcile future population growth with available housing supply by incorporating a housing supply trajectory. The housing-led projections are recommended for most local planning purposes, and the 10-year variant can be considered the default variant. For most users, we recommend accessing the projections through the London Projections Explorer tool. Users in London local authorities are able to request bespoke projections based on alternative housing scenarios through the GLA Population Projection Service. The most recent set of projections are the 2022-based round (August 2024) which comprise three variants based on different migration and fertility assumptions. All 2022-based projections are based on a common scenario of assumed future housing delivery that is derived from capacity identified in the 2017 Strategic Housing Land Availability Assessment. These projections are based on modelled back series of population estimates produced by the GLA and available here. Additional documentation, including updated information about methodologies and assumptions will be published in the coming days. For more information about these projections, see the accompanying blog post. The housing-led projections include projections for London Boroughs and London wards (2022 boundaries). The release also includes components of change (births, deaths and migration data). Documentation page Back to projections homepage
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The 2016-based population projections are the most recent set of GLA projections. These projections will form part of the evidence based for the Mayor's new London Plan. Note: These outputs contain data for London only. Documentation Reports on the results of the 2016-based population projections can be found on the documentation pages ( click here ). A methodology paper for the GLA trend model is also available ( click here ). National Projections The full outputs which comprise populations, detailed components of change, and households for all authorities in England plus national projections for Wales, Scotland and Northern Ireland are also available for download ( click here ). Household Projections Household projections consistent with these population outputs are also available ( click here ). Housing-led population projections 2016-based housing-led projections incorportaing the 2017 SHLAA are scheduled for release in Autumn 2017. Until this release the Interim 2015-based housing-led and small area projections remain the most current ( click here ).
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TwitterIMPORTANT NOTE: The 2016-based TREND projections are now available. For housing-led projections the Interim 2015-based projections remain the most current. The housing-led projections will be updated when the 2017 SHLAA is published in Autumn 2017. see https://data.london.gov.uk/demography/ for the latest trend GLA projections. From January 2017 the GLA has revised its naming convention for it's population projections. Projections will now be labelled based on the latest mid-year estimate data which informs the projection. As such this set of projections is a 2015-based projection. This set of projections is labelled ‘interim’ in anticipation of a revised set of 2015-based projections which will inform the London Plan. Once released, in spring 2017, those projections will supersede this set. Four variants of local authority level population projections, one ward-level projection and one msoa-level projection are currenty available: Borough Central Trend-based projection (using a 10-year migration scenario) Short-term Trend-based projection (using a 5-year migration scenario) Long-term Trend-based projection (using a 14-year migration scenario) Housing-linked projection incorporating data from the 2013 SHLAA (consistent with the central trend model) Small Area Ward-level projections consistent with the borough housing-led model MSOA-level projections consistent with the borough housing-led model Documentation Methodology papers for all of the projections are availble on the documentation page for this dataset. Reults Updates for the Trend and Housing-led projections are available on the documentation page. A series of ward projection profiles are also available to dowload. Notes A tool detailing the relationships between the various projections and variants can be found here . These projections make no attempt to account for the UK's exit from the European Union.
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Context
The dataset tabulates the New London population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of New London. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.
Key observations
The largest age group was 18 - 64 years with a poulation of 1,484 (58.54% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
Age cohorts:
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 Population by Age. You can refer the same here
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TwitterThis dataset provides the city-specific air exchange rate measurements, modeled, literature-based as well as housing characteristics. This dataset is associated with the following publication: Baxter, L., C. Stallings, L. Smith, and J. Burke. Probabilistic estimation of residential air exchange rates for population-based human exposure modeling. Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London, UK, 27: 227-234, (2017).
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This report presents findings from the third (wave 3) in a series of follow up reports to the 2017 Mental Health of Children and Young People (MHCYP) survey, conducted in 2022. The sample includes 2,866 of the children and young people who took part in the MHCYP 2017 survey. The mental health of children and young people aged 7 to 24 years living in England in 2022 is examined, as well as their household circumstances, and their experiences of education, employment and services and of life in their families and communities. Comparisons are made with 2017, 2020 (wave 1) and 2021 (wave 2), where possible, to monitor changes over time.
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The latest population figures produced by the Office for National Statistics (ONS) on 28 June 2018 show that an estimated 534,800 people live in Bradford District – an increase of 2,300 people (0.4%) since the previous year. Bradford District is the fifth largest metropolitan district (in terms of population) in England, after Birmingham, Leeds, Sheffield and Manchester although the District’s population growth is lower than other major cities. The increase in the District’s population is largely due to “natural change”- there have been around 3,300 more births than deaths, although this has been balanced by a larger number of people leaving Bradford to live in other parts of the UK than coming to live here and a lower number of international migrants. In 2016/17 the net internal migration was -2,700 and the net international migration was 1,700. A large proportion of Bradford’s population is dominated by the younger age groups. More than one-quarter (29%) of the District’s population is aged less than 20 and nearly seven in ten people are aged less than 50. Bradford has the highest percentage of the under 16 population in England after the London Borough of Barking and Dagenham, Slough Borough Council and Luton Borough Council. The population of Bradford is ethnically diverse. The largest proportion of the district’s population (63.9%) identifies themselves as White British. The district has the largest proportion of people of Pakistani ethnic origin (20.3%) in England. The largest religious group in Bradford is Christian (45.9% of the population). Nearly one quarter of the population (24.7%) are Muslim. Just over one fifth of the district’s population (20.7%) stated that they had no religion. There are 216,813 households in the Bradford district. Most households own their own home (29.3% outright and 35.7% with a mortgage). The percentage of privately rented households is 18.1%. 29.6% of households were single person households. Information from the Annual Population Survey in December 2017 found that Bradford has 228,100 people aged 16-64 in employment. At 68% this is significantly lower than the national rate (74.9%). 91,100 (around 1 in 3 people) aged 16-64, are not in work. The claimant count rate is 2.9% which is higher than the regional and national averages. Skill levels are improving with 26.5% of 16 to 74 year olds educated to degree level. 18% of the district’s employed residents work in retail/wholesale. The percentage of people working in manufacturing has continued to decrease from 13.4% in 2009 to 11.9% in 2016. This is still higher than the average for Great Britain (8.1%).
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TwitterUrban population growth has been constant for several decades in France. Between 1960 and 2023, it rose from 61.88 percent to 81.78 percent. The phenomenon of urbanization was more significant in the 1960s. Indeed, over this period, the rate of the French population living in cities increased by 10 points. The evolution was more weighted over the next 50 years, rising from 71.06 percent in 1970 to 80.98 percent in 2020.An increase in urbanization was accompanied over the same period by a sharp rise in the overall French population, from 55.57 million inhabitants in 1982 to around 68 million in 2024. Paris, an urban giant in France Like in the United Kingdom, the French-style centralized system has led to a high concentration of population around economic, financial, cultural and political centers, all located in the British and French capitals. London and Paris (and its conurbation) are among the largest urban centers on the continent, with Moscow being the most populous. This centralization of power has led to a very heterogenous distribution of population density. The Paris region has a density of more than 1000 inhabitants per km², which is ten times higher than the Haut-de-France region, the second densest region in Metropolitan France.This centralization of power attracts a strong French and foreign workforce. The French capital is by far the most populated city in France. If solely the municipality of Paris is taken into account, it had more than 2 million inhabitants in 2019, which is more than twice as many as in Marseille and four times as many as in Lyon, the country's second and third most populous cities. Future challenges for French cities Access to employment is no longer the only reason to settle in a town. Other factors come into play in the life choices of city dwellers. In 2019, more than 90% of the French estimated that the presence of green areas was important to settle or not in a district. The pollution level of the city was also considered in the choice of the city. In order to address these pollution problems, municipalities must resolve transportation issues on their own territory. Previously the king of the town, the car is increasingly losing ground to public transport in urban areas. Cities like Paris are relying more on public transport. Between 2011 and 2016, RATP and SNCF have built more than 60 kilometers of tramway tracks . Moreover, the construction of additional train and metro lines in the Grand Paris project aimed at better connecting the suburbs to each other without passing through intramural Paris.Making it easier to travel by bicycle is one of the options chosen by many conurbations to relieve congestion in their cities. Since the early 2000s, self-service bicycles have been a great success in France with more than 2400 bicycles available in Toulouse or 4000 in Lyon in 2017. A source of much tension between motorists, municipalities and cyclists, the sharing of the road between 4 and 2 wheelers has, however, been widely developed. In Strasbourg, for example, the municipality had around 1.04 metres of cycle lanes per inhabitant in 2017, the highest rate in France. However, the layout of cycle paths can be perilous and a majority of cyclists in France still feel unsafe on the road.
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人口:伦敦在06-01-2017达8,825.001千人,相较于06-01-2016的8,769.659千人有所增长。人口:伦敦数据按年更新,06-01-1971至06-01-2017期间平均值为7,154.000千人,共47份观测结果。该数据的历史最高值出现于06-01-2017,达8,825.001千人,而历史最低值则出现于06-01-1988,为6,729.000千人。CEIC提供的人口:伦敦数据处于定期更新的状态,数据来源于Office for National Statistics,数据归类于全球数据库的英国 – 表 UK.G001:人口。
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TwitterPopulation exposures to ozone from APEX modeling for combinations of potential future air quality and demographic change scenarios. This dataset is not publicly accessible because: Total file size is too large (73 GB) to be included in ScienceHub. It can be accessed through the following means: data files are stored at L:\PRIV\DIONISIO\ACE118\APEXFiles\RCode\Rfiles. Format: 73 GB, 2,300 files (saved as .rsav R data files).
This dataset is associated with the following publication: Dionisio, K., C. Nolte, T. Spero, S. Graham, N. Caraway, K. Foley, and K. Isaacs. Characterizing the impact of projected changes in climate and air quality on human exposures to ozone. Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London, UK, 27(3): 260-270, (2017).
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Context
The dataset tabulates the population of London by race. It includes the population of London across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of London across relevant racial categories.
Key observations
The percent distribution of London population by race (across all racial categories recognized by the U.S. Census Bureau): 91.78% are white, 2.40% are Black or African American, 0.12% are American Indian and Alaska Native, 1.70% are Asian, 0.14% are some other race and 3.87% are multiracial.
https://i.neilsberg.com/ch/london-oh-population-by-race.jpeg" alt="London population by race">
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 London Population by Race & Ethnicity. You can refer the same here
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United Kingdom Population: London data was reported at 8,825.001 Person th in 2017. This records an increase from the previous number of 8,769.659 Person th for 2016. United Kingdom Population: London data is updated yearly, averaging 7,154.000 Person th from Jun 1971 (Median) to 2017, with 47 observations. The data reached an all-time high of 8,825.001 Person th in 2017 and a record low of 6,729.000 Person th in 1988. United Kingdom Population: London data remains active status in CEIC and is reported by Office for National Statistics. The data is categorized under Global Database’s United Kingdom – Table UK.G001: Population.