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.

Annual historical data for UK residents by broad country of birth and citizenship groups, broken down by UK country, local authority, unitary authority, metropolitan and London boroughs, and counties.

The population of England was estimated to have reached almost 57.7 million in 2023, compared with 53.9 million ten years earlier in 2013. Compared with 1971, the population of England has grown by over ten million.

The total population in the United Kingdom was estimated at 68.3 million people in 2023, according to the latest census figures and projections from Trading Economics. This dataset provides the latest reported value for - United Kingdom Population - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

In 2023, the population of the United Kingdom was around 68.3 million, with approximately 34.5 million women and 33.1 million men. Since 1953, the male population of the UK has grown by around 9.1 million, while the female population has increased by approximately 8.5 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 2022, 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 70 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 2022, the population density of the UK was approximately 279 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 almost nine million, making it significantly bigger than the next largest cities of Birmingham and Manchester. As of 2022, Scotland's largest city, Glasgow had a population of around 1.7 million, with the largest cities in Northern Ireland, and Wales being Belfast and Cardiff, which had populations of 643,000 and 488,000 respectively.

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).

In 1938, the year before the outbreak of the Second world War, the countries with the largest populations were China, the Soviet Union, and the United States, although the United Kingdom had the largest overall population when it's colonies, dominions, and metropole are combined. Alongside France, these were the five Allied "Great Powers" that emerged victorious from the Second World War. The Axis Powers in the war were led by Germany and Japan in their respective theaters, and their smaller populations were decisive factors in their defeat. Manpower as a resource In the context of the Second World War, a country or territory's population played a vital role in its ability to wage war on such a large scale. Not only were armies able to call upon their people to fight in the war and replenish their forces, but war economies were also dependent on their workforce being able to meet the agricultural, manufacturing, and logistical demands of the war. For the Axis powers, invasions and the annexation of territories were often motivated by the fact that it granted access to valuable resources that would further their own war effort - millions of people living in occupied territories were then forced to gather these resources, or forcibly transported to work in manufacturing in other Axis territories. Similarly, colonial powers were able to use resources taken from their territories to supply their armies, however this often had devastating consequences for the regions from which food was redirected, contributing to numerous food shortages and famines across Africa, Asia, and Europe. Men from annexed or colonized territories were also used in the armies of the war's Great Powers, and in the Axis armies especially. This meant that soldiers often fought alongside their former-enemies. Aftermath The Second World War was the costliest in human history, resulting in the deaths of between 70 and 85 million people. Due to the turmoil and destruction of the war, accurate records for death tolls generally do not exist, therefore pre-war populations (in combination with other statistics), are used to estimate death tolls. The Soviet Union is believed to have lost the largest amount of people during the war, suffering approximately 24 million fatalities by 1945, followed by China at around 20 million people. The Soviet death toll is equal to approximately 14 percent of its pre-war population - the countries with the highest relative death tolls in the war are found in Eastern Europe, due to the intensity of the conflict and the systematic genocide committed in the region during the war.

Abstract copyright UK Data Service and data collection copyright owner.

The Great Britain Historical Database has been assembled as part of the ongoing Great Britain Historical GIS Project. The project aims to trace the emergence of the north-south divide in Britain and to provide a synoptic view of the human geography of Britain at sub-county scales. Further information about the project is available on A Vision of Britain webpages, where users can browse the database's documentation system online.

These data were originally collected by the Censuses of Population for England and Wales, and for Scotland. They were computerised by the Great Britain Historical GIS Project and its collaborators.

The census has gathered data on "occupations", meaning individuals' roles in the workplace, since the first household enumeration in 1841, and this collection includes most of the published results. However, how the results were classified varied greatly: for 1841, there is simply an alphabetical list of individual occupations, in 1851 the most basic classification was into workers in animal, vegetable and minerals, and so on. Further, the more detailed the occupational classification used, space considerations tended to require a less detailed geography; or, sometimes, the use of an abridged classification for small towns and rural areas; or even different tables and classifications for men and for women. There are consequently multiple datasets for some years.

Latest edition information

For the second edition (October 2022), the data and documentation have been revised.

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Occupations, meaning self-described roles in the workplace, tabulated by gender using a variety of occupational classifications. Note that the early classifications often mingle notions of social status. From 1931 onwards these tables also include counts of the unemployed.

Please note: this study does not include information on named individuals and would therefore not be useful for personal family history research.

Graph and download economic data for Infra-Annual Labor Statistics: Working-Age Population Total: From 15 to 64 Years for United Kingdom (LFWA64TTGBQ647S) from Q1 1971 to Q4 2024 about working-age, 15 to 64 years, United Kingdom, and population.

The population of the United Kingdom grew by 0.98 percent in 2023, the fastest annual growth rate during this time period. Before 2023, the UK population grew at its fastest rate in 2011 (0.84 percent) and shrank the most in 1982 (-0.12 percent.)

Mid-year (30 June) estimates of the usual resident population for 2011 Census Output Areas (OAs) in the London region of England.

The statistic shows the total population in the United Kingdom from 2015 to 2019, with projections up until 2025. The population grew steadily over this period.

Population of the United Kingdom

Despite a fertility rate just below the replacement rate, the United Kingdom’s population has been slowly but steadily growing, increasing by an average of 0.6 percent every year since 2002. The age distribution has remained roughly the same for the past ten years or so, with the share of the population over 65 years old seeing a slight increase as the baby boomer generation enters into that age bracket. That share is likely to continue growing slightly, as the United Kingdom has one of the highest life expectancies in the world.

The population of the island nation is predominantly white Christians, but a steady net influx of immigrants, part of a legacy of the wide-reaching former British Empire, has helped diversify the population. One of the largest ethnic minorities in the United Kingdom is that of residents of an Indian background, born either in the UK, India, or in other parts of the world. India itself is experiencing problems with rapid population growth, causing some of its population to leave the country in order to find employment. The United Kingdom’s relatively lower levels of unemployment and the historical connection between the two countries (which has also resulted in family connections between individuals) are likely reasons that make it a popular destination for Indian emigrants.

In 2022, the median age of the population of the United Kingdom was 40.7 years, compared with 37.9 years in 2001. The average age of the UK population has been increasing throughout this time period, although between 2014 and 2016 the median age remained at 40.

In 2023, almost 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 2.98 million inhabitants, followed by Greater Manchester and then West Yorkshire with populations of 2.95 million and 2.4 million, respectively. Kent, Essex, and Hampshire were the three next-largest counties in terms of population, each with around 1.89 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 2022, the most-populated Scottish council area was Glasgow City, with over 622,000 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.

Abstract copyright UK Data Service and data collection copyright owner.

The Great Britain Historical Database has been assembled as part of the ongoing Great Britain Historical GIS Project. The project aims to trace the emergence of the north-south divide in Britain and to provide a synoptic view of the human geography of Britain at sub-county scales. Further information about the project is available on A Vision of Britain webpages, where users can browse the database's documentation system online.

The Great Britain Historical GIS Project has also produced digitised boundary data, which can be obtained from the UK Data Service Census Support service. Further information is available at census.ukdataservice.ac.uk

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The Great Britain Historical Database is a large database of British nineteenth and twentieth-century statistics. Where practical the referencing of spatial units has been integrated, data for different dates have been assembled into single tables.

The Great Britain Historical Database currently contains :

• Statistics from the 1861 Census and the Registrar General's reports, 1851-1861
  
• Employment statistics from the census, 1841-1931
  
• Demographic statistics from the census, 1841-1931
  
• Mortality statistics from the Registrar General's reports, 1861-1920
  
• Marriage statistics from the Registrar General's reports, 1841-1870
  
• Trade union statistics for the Amalgamated Society of Engineers (ASE), 1851-1918
  
• Trade union statistics for the Amalgamated Society of Carpenters and Joiners (ASCJ), 1863-1912
  
• Official poor law statistics, 1859-1915 and 1919-1939
  
• Wage statistics, 1845-1906
  
• Hours of work statistics, 1900-1913
  
• Small debt statistics from county courts, 1847-1913 and 1938
  

There are four tables in this part of the Great Britain Historical Database, providing a comprehensive account of changing administrative units in England and Wales over the period from 1888 to 1973:

Lgd holds all the local government districts (county boroughs, London boroughs, municipal boroughs, rural districts and urban districts) in the GIS and acts as a gazetteer between the GIS and the Great Britain Historical Database.

Main_ch holds the total information about each change, e.g. date, total population, total area, type of change, etc (This table is currently unavailable).

Sub_area holds details of all the sub areas (ideally civil parishes) affected by the changes (This table is currently unavailable).

Lgd_to_cha acts as a lookup table between lgd and main_ch (This table is currently unavailable).

Please note: this study does not include information on named individuals and would therefore not be useful for personal family history research.

Abstract copyright UK Data Service and data collection copyright owner.

The Great Britain Historical Database has been assembled as part of the ongoing Great Britain Historical GIS Project. The project aims to trace the emergence of the north-south divide in Britain and to provide a synoptic view of the human geography of Britain at sub-county scales. Further information about the project is available on A Vision of Britain webpages, where users can browse the database's documentation system online.

These data were originally collected by the Censuses of Population for England and Wales, and for Scotland. They were computerised by the Great Britain Historical GIS Project and its collaborators. They form part of the Great Britain Historical Database, which contains a wide range of geographically-located statistics, selected to trace the emergence of the north-south divide in Britain and to provide a synoptic view of the human geography of Britain, generally at sub-county scales.

The Census of Population first gathered data on housing "density", i.e. the number of persons in each household relative to the number of rooms, in 1891, although the first year included here is 1901. In 1891, over-crowding was defined as over 2 persons per room; by 1931 this threshold had dropped to 1.5 persons; and by 1961 to 1 person per room. Up to 1931, the data for each locality and date form a table of numbers of persons against numbers of rooms, and these transcriptions sometimes exclude the rows/columns for the very largest households (see the documentation for individual tables). From 1951 onwards, simpler tables simply list numbers of households in each density category (e.g. over 1 person per room and not more than 1.5 persons).

This is a new edition. Data have been added for 1911 and 1951. Wherever possible, ID numbers have been added for counties and districts which match those used in the digital boundary data created by the GBH GIS, greatly simplifying mapping.

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Housing Statistics (persons per room) from the 1901, 1911, 1931, 1951, 1961 and 1971 Censuses.

Please note: this study does not include information on named individuals and would therefore not be useful for personal family history research.

Annual UK and constituent country figures for births, deaths, marriages, divorces, civil partnerships and civil partnership dissolutions.

1. Predicting how populations may respond to climate change and anthropogenic pressures requires detailed knowledge of demographic traits, such as survival and reproduction. However, the availability of these data varies greatly across space and taxa. Therefore, it is common practice to conduct population assessments by filling in missing values from surrogate species or other populations of the same species. Using these independent surrogate values concurrently with observed data neglects the life‐history trade‐offs that connect the different aspects of a population's demography. Consequently, this approach introduces biases that could ultimately lead to erroneous management decisions. 2. We use a Bayesian hierarchical framework to combine fragmented multi‐population data with established life‐history theory and reconstruct population‐specific demographic data across a substantial part of a species breeding range. We apply our analysis to a long‐lived colonial species, the black‐legged kittiwake Rissa tridactyla, that is classified as globally Vulnerable and is highly threatened by increasing anthropogenic pressures, including offshore renewable energy development. We then use a projection analysis to examine how the reconstructed demographic parameters may improve population assessments, compared to models that combine observed data with independent surrogate values. 3. Demographic parameters reconstructed using a hierarchical framework can be utilised in a range of population modelling approaches. They can also be used as reference estimates to assess whether independent surrogate values are likely to over or underestimate missing demographic parameters. We show that surrogate values from independent sources are often used to fill in missing parameters that have large potential demographic impact, and that resulting biases are driven in unpredictable directions thus precluding assessments from being consistently precautionary. 4. Synthesis and applications. Our study dramatically increases the spatial coverage of population‐specific demographic data for black‐legged kittiwakes. The reconstructed demographic parameters presented can also be used immediately to reduce uncertainty in the consenting process for offshore wind development in the United Kingdom and Ireland. More broadly, we show that the reconstruction approach used here provides a new avenue for improving evidence‐based management and policy action for animal and plant populations with fragmented and error prone demographic data. 22-Mar-2021

Methods JAGS code and data for the correlated model. The script was written using JAGS (v. 4.3.0) via the “jagsUI” library (v 1.5.1) for program R (v. 4.0.2). It runs a Bayesian hierarchical model (“correlated model”) to reconstruct mean rates of adult survival and fecundity for 68 populations of black-legged kittiwake breeding in the UK and Ireland. Input data supplied. See Table S1 in the Supplementary Information for additional details on data sources.