In 2021 the live birth rate of the United Kingdom fell to 10.4 births per 1,000 population, the lowest it had been during this time period. The UK's birth rate has been declining steadily since 2010 when the birth rate was 12.9 births per 1,000 population. After 1938, the year with the highest birth rate in the UK was 1947, when the crude birth rate was 21.2 births per 1,000 population. Under two children per mother in 2021 The most recent crude live birth rate for this statistic is based on the 694,685 births, that occurred in 2021 as well as the mid-year population estimate of 67 million for the United Kingdom. It has a close relation to the fertility rate which estimates the average number of children women are expected to have in their lifetime, which was 1.53 in this reporting year. Among the constituent countries of the UK, Northern Ireland had the highest birth rate at 11.6, followed by England at 10.5, Wales at 9.3, and Scotland at 8.7. International comparisons The UK is not alone in seeing its birth and fertility rates decline dramatically in recent decades. Across the globe, fertility rates have fallen noticeably since the 1960s, with the fertility rate for Asia, Europe, and the Americas being below two in 2021. As of this year, the global fertility rate was 2.31, and was by far the highest in Africa, which had a fertility rate of 4.12, although this too has fallen from a high of 6.72 in the late 1960s. A reduction in infant mortality, as well as better access to contraception, are factors that have typically influenced declining fertility rates recently.

The share of under 16s in the overall population of the United Kingdom was **** percent in 2024, compared with **** percent in 1971. Throughout this period, the share of under 16s in the overall UK population has declined significantly, with a brief uptick visible in the *****. Aging population in the UK In 2001, the median age of the UK population was **** years, with this increasing to **** in 2021, although this fell slightly to **** by 2024. Among UK regions, South West England had the highest median age in 2024, at **** years, compared with just **** years in London, the regions with the lowest median age. In the future, it is expected that the median age of the UK population will continue to increase. By 2050, it will reach **** years, **** by 2075, and by the end of the century the median age will reach **** years. Challenges of an aging population As the average age of the population gets older, the UK will face numerous challenges in adapting to this demographic change. With fewer people in the labor market, the government will raise less revenue, and struggle with increased expenditure on pensions. The UK is by no means alone in facing this challenge, with several countries, particular in Southern Europe and East Asia, facing similar demographic challenges. In 2050, for example, it is expected that **** percent of the population of South Korea will be aged 65 or over.

United Kingdom UK: Population: Growth data was reported at 0.648 % in 2017. This records a decrease from the previous number of 0.714 % for 2016. United Kingdom UK: Population: Growth data is updated yearly, averaging 0.352 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 0.849 % in 1962 and a record low of -0.036 % in 1982. United Kingdom UK: Population: Growth data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Kingdom – Table UK.World Bank.WDI: Population and Urbanization Statistics. Annual population growth rate for year t is the exponential rate of growth of midyear population from year t-1 to t, expressed as a percentage . Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.; ; Derived from total population. Population source: (1) United Nations Population Division. World Population Prospects: 2017 Revision, (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average;

About this dataset

Context

The dataset tabulates the England population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of England across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of England was 2,441, a 0.12% decrease year-by-year from 2022. Previously, in 2022, England population was 2,444, a decline of 0.49% compared to a population of 2,456 in 2021. Over the last 20 plus years, between 2000 and 2023, population of England decreased by 549. In this period, the peak population was 3,011 in the year 2009. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the England is shown in this column.
• Year on Year Change: This column displays the change in England population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

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.

Inspiration

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/.

Recommended for further research

This dataset is a part of the main dataset for England Population by Year. You can refer the same here

1. Many migratory species are in decline across their geographical ranges. Single-population studies can provide important insights into drivers at a local scale, but effective conservation requires multi-population perspectives. This is challenging because relevant data are often hard to consolidate, and state-of-the-art analytical tools are typically tailored to specific datasets.
2. We capitalized on a recent data harmonization initiative (SPI-Birds) and linked it to a generalized modeling framework to identify the demographic and environmental drivers of large-scale population decline in migratory pied flycatchers (Ficedula hypoleuca) breeding across Britain.
3. We implemented a generalized integrated population model (IPM) to estimate age-specific vital rates, including their dependency on environmental conditions, and total and breeding population size of pied flycatchers using long-term (34–64 years) monitoring data from seven locations representative of the British breeding range. We then quantified the relative contributions of different vital rates and population structures to changes in short- and long-term population growth rates using transient life table response experiments (LTREs).
4. Substantial covariation in population sizes across breeding locations suggested that change was the result of large-scale drivers. This was supported by LTRE analyses, which attributed past changes in short-term population growth rates and long-term population trends primarily to variation in annual survival and dispersal dynamics, which largely act during migration and/or non-breeding season. Contributions of variation in local reproductive parameters were small in comparison, despite sensitivity to local temperature and rainfall within the breeding period.
5. We show that both short- and longer-term population changes of British-breeding pied flycatchers are likely linked to factors acting during migration and in non-breeding areas, where future research should be prioritized. We illustrate the potential of multi-population analyses for informing management at (inter)national scales and highlight the importance of data standardization, generalized and accessible analytical tools, and reproducible workflows to achieve them. Methods Data collection protocols are described in the paper, and further references provided therein. Raw data were harmonised and converted to a standard format by SPI-Birds (https://spibirds.org/) and then collated into the input data provided here using code deposited on https://github.com/SPI-Birds/SPI-IPM. Details on this step of data processing will be added to https://spi-birds.github.io/SPI-IPM/. The MCMC sample data files are the outputs of the integrated population models fitted in the study. Please refer to the published article and material deposited on the associated GitHub repository for more details.

By 2047 it is expected that there will be approximately *** million men and **** million women living in London, compared with *** million men and **** million women in 2025. By 2046, the population of the United Kingdom as a whole is forecast to reach 76 million, compared with around 69 million in 2026. London’s population since 1981 Between 1981 and 1988, the population of London declined from *** million, to *** million. This period of gradual population decline was, however, followed by a sustained era of population growth, with London's population reaching *** million in 2023. There was a slight fall in London's population between 2019 and 2021, when the population declined by around 89,000. As of 2023, the largest age group in the city was that of 25 to 29-year-olds, of which there were around ******* people. London's boroughs London is currently split up into 32 boroughs, as well as the historic center of the city, the City of London. The City of London had a population of around ****** people in 2023, compared with ******* in Croydon, the London Borough with the highest population that year. London's historic center also had the highest average weekly salary in the city, at ***** pounds, compared with *** pounds in the Borough of Redbridge.

This is the dataset used for the Lindsay et al. (2019) article "Privatisation of public goods can cause population decline" published in Nature Ecology and Evolution.

About this dataset

Context

The dataset tabulates the England population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of England across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2022, the population of England was 2,441, a 0.49% decrease year-by-year from 2021. Previously, in 2021, England population was 2,453, a decline of 0.65% compared to a population of 2,469 in 2020. Over the last 20 plus years, between 2000 and 2022, population of England decreased by 549. In this period, the peak population was 3,011 in the year 2009. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2022

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2022)
• Population: The population for the specific year for the England is shown in this column.
• Year on Year Change: This column displays the change in England population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

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.

Inspiration

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/.

Recommended for further research

This dataset is a part of the main dataset for England Population by Year. You can refer the same here

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 Q3 2025 about working-age, 15 to 64 years, United Kingdom, and population.

Populations of Afro-Palearctic migrant birds have shown severe declines in recent decades. To identify the causes of these declines, accurate measures of both demographic rates (seasonal productivity, apparent survival, immigration) and environmental parameters will allow conservation and research actions to be targeted effectively. We used detailed observations of marked breeding birds from a ‘stronghold’ population of whinchats Saxicola rubetra in England (stable against the declining European trend) to reveal both on-site and external mechanisms that contribute to population change. From field data, a population model was developed based on demographic rates from 2011 to 2014. Observed population trends were compared to the predicted population trends to assess model-accuracy and the influence of outside factors, such as immigration. The sensitivity of the projected population growth rate to relative change in each demographic rate was also explored. Against expectations of high productivity, we identified low seasonal breeding success due to nocturnal predation and low apparent first-year survival, which led to a projected population growth rate (?) of 0.818, indicating a declining trend. However, this trend was not reflected in the census counts, suggesting that high immigration was probably responsible for buffering against this decline. Elasticity analysis indicated ? was most sensitive to changes in adult survival but with covariance between demographic rates accounted for, ? was most sensitive to changes in productivity. Our study demonstrates that high quality breeding habitat can buffer against population decline but high immigration and low productivity will expose even such stronghold populations to potential decline or abandonment if either factor is unsustainable. First-year survival also appeared low, however this result is potentially confounded by high natal dispersal. First-year survival and/or dispersal remains a significant knowledge gap that potentially undermines local solutions aimed at counteracting low productivity.

The United Kingdom: Female population, percent of total: The latest value from 2024 is 50.76 percent, a decline from 50.77 percent in 2023. In comparison, the world average is 49.99 percent, based on data from 196 countries. Historically, the average for the United Kingdom from 1960 to 2024 is 51.33 percent. The minimum value, 50.76 percent, was reached in 2024 while the maximum of 51.79 percent was recorded in 1991.

Of the G7 countries, Canada, the United Kingdom, and the United States were forecast to have a constant population ******** until 2050. In Japan, Germany, and Italy, the population is forecast to constantly ******* due to aging populations and falling fertility rates. In France, the population was first expected to decline by 2048.

The data collection contains population projections for UK ethnic groups and all local area by age (single year of age up to 100+) and sex. Included in the data set are also input data to the cohort component model that was used to project populations into the future-fertility rates, mortality rates, international migration flows and internal migration probabilities. Also included in data set are output data: Number of deaths, births and internal migrants. All data included are for the years 2011 to 2061. We have produced two ethnic population projections for UK local authorities, based on information on 2011 Census ethnic populations and 2010-2011-2012 ethnic components. Both projections align fertility and mortality assumptions to ONS assumptions. Where they differ is in the migration assumptions. In LEEDS L1 we employ internal migration rates for 2001 to 2011, including periods of boom and bust. We use a new assumption about international migration anticipating that the UK may leave the EU (BREXIT). In LEEDS L2 we use average internal migration rates for the 5 year period 2006-11 and the official international migration flow assumptions with a long term balance of +185 thousand per annum.

This project aims to understand and to forecast the ethnic transition in the United Kingdom's population at national and sub-national levels. The ethnic transition is the change in population composition from one dominated by the White British to much greater diversity. In the decade 2001-2011 the UK population grew strongly as a result of high immigration, increased fertility and reduced mortality. Both the Office for National Statistics (ONS) and Leeds University estimated the growth or decline in the sixteen ethnic groups making up the UK's population in 2001. The 2011 Census results revealed that both teams had over-estimated the growth of the White British population and under-estimated the growth of the ethnic minority populations. The wide variation between our local authority projected populations in 2011 and the Census suggested inaccurate forecasting of internal migration. We propose to develop, working closely with ONS as our first external partner, fresh estimates of mid-year ethnic populations and their components of change using new data on the later years of the decade and new methods to ensure the estimates agree in 2011 with the Census. This will involve using population accounting theory and an adjustment technique known as iterative proportional fitting to generate a fully consistent set of ethnic population estimates between 2001 and 2011.

We will study, at national and local scales, the development of demographic rates for ethnic group populations (fertility, mortality, internal migration and international migration). The ten year time series of component summary indicators and age-specific rates will provide a basis for modelling future assumptions for projections. We will, in our main projection, align the assumptions to the ONS 2012-based principal projection. The national assumptions will need conversion to ethnic groups and to local scale. The ten years of revised ethnic-specific component rates will enable us to study the relationships between national and local demographic trends. In addition, we will analyse a consistent time series of local authority internal migration. We cannot be sure, at this stage, how the national-local relationships for each ethnic group will be modelled but we will be able to test our models using the time series.

Of course, all future projections of the population are uncertain. We will therefore work to measure the uncertainty of component rates. The error distributions can be used to construct probability distributions of future populations via stochastic projections so that we can define confidence intervals around our projections. Users of projections are always interested in the impact of the component assumptions on future populations. We will run a set of reference projections to estimate the magnitude and direction of impact of international migrations assumptions (net effect of immigration less emigration), of internal migration assumptions (the net effect of in-migration less out-migration), of fertility assumptions compared with replacement level, of mortality assumptions compared with no change and finally the effect of the initial age distribution (i.e. demographic potential).

The outputs from the project will be a set of technical reports on each aspect of the research, journal papers submitted for peer review and a database of projection inputs and outputs available to users via the web. The demographic inputs will be subject to quality assurance by Edge Analytics, our second external partner. They will also help in disseminating these inputs to local government users who want to use them in their own ethnic projections. In sum, the project will show how a wide range of secondary data sources can be used in theoretically refined demographic models to provide us with a more reliable picture of how the UK population is going to change in ethnic composition.

The aims of this project were to:

• understand the demographic changes that United Kingdom local ethnic populations are presently experiencing and are likely to experience in the remainder of the 21st century
• understand the impact that international migration is having on the size and ethnic composition of UK local populations
• understand the role that differences in fertility between the UK's ethnic groups plays in shaping current and future trends
• understand the role that mortality differences between ethnic groups is playing in the changing demography of the UK's local populations
• understand how the ethnic diversity of UK local populations is changing and likely to change in the future
• deliver the projections as a resource for use by social science in the UK
• build capacity in the analysis of demographic change through the development of young and middle career researchers
• tap into the best practice internationally to benefit the UK social science community.

To achieve the project aims, the objectives were to:

• build projections of the populations of ethnic groups for UK local areas
• use the population projection model to explore alternative futures.

The project built a model for projecting the ethnic group populations of UK Local Authorities (LAs), which handles 352 LAs, 16 ethnic groups, 102 ages and 2 sexes. To drive the projections, estimates of the components of ethnic change were prepared for 2001-7. A new method produced UK estimates of ethnic life expectancy, ranging from 82 years for Chinese women to 77 for Pakistani. A future 2% decline in mortality per annum was assumed. Ethnic fertility estimates showed that only Indians, Pakistanis and Bangladeshis had total fertility rates above replacement. Small declines in fertility were forecast. New estimates of the local distribution of immigration were made, using administrative data, because of concerns about official figures. The ethnicity of both immigrants and emigrants for local areas was projected. Estimates were constructed of the ethnic group probabilities for internal in- and out-migration for LAs using 2001 Census data. These probabilities were assumed constant in the future, as migration was stable between 2001 and 2008. Five projections were produced. Two benchmark projections, using constant inputs from 2001-2, forecast the UK population would be 62 and 56 million in 2051.The official projection reports 77 million. The Trend projection, aligned to ONS assumptions projected 78 million for 2051. Using revised assumptions 80 million was projected in a fourth projection. When the model for emigration was changed the projected population was only 71 million. All projections showed ageing and dispersion of ethnic minorities. By 2051 the UK will have a larger, more diverse and integrated population.

For further information about the project, see documentation and the What happens when international migrants settle? Ethnic group population trends and projections for UK local areas under alternative scenarios ESRC award page.

our results give the first data-validated, mechanistic explanation of the elastic disc hypothesis, proposed nearly 80 years ago.

This dataset contains a variety of demographic measures (related to fertility, marriage, mortality and migration), plus a range of socio-economic indicators (related to households, age structure, and social class) for the 2000+ Registration Sub Districts (RSDs) in England and Wales for each census year between 1851 and 1911, and for the 600+ Registration Districts of Scotland 1851-1901. The measures have mainly been derived from the computerised individual level census enumerators' books (and household schedules for 1911) enhanced under the I-CeM project. I-CeM does not currently include data for England and Wales 1871, although the project has been able to access a version of the data for that year it does not contain information necessary to calculate many of the variables presented here. Scotland 1911 is also not available. Users should therefore beware that 1871 does not contain data for many of the variables. Additional data has been derived from the tables summarising numbers of births and deaths by year and areas, which were published by the Registrar General of England and Wales in his quarterly, annual and decennial reports of births, deaths and marriages. Data from the decennial reports was obtained from Woods (SN 3552) and we transcribed data from the quarterly and annual reports ourselves. Counts of births and deaths for Scottish Registration Districts were obtained from the Digitising Scotland project at the University of Edinburgh. The dataset builds on SN 8613 and SN 853547 which provide data for a more limited set of variables and for England and Wales only (the same dataset also has two UKDS SN numbers as it was re-routed by UKDS during the deposit process).

This project will present the first historic population geography of Great Britain during the late nineteenth century. This was a period of unprecedented demographic change, when both mortality and fertility started the dramatic secular declines of the first demographic transition. National trends are well established: mortality decline started in childhood and early adulthood, with infant mortality lagging behind, particularly in urban-industrial areas. The fall in fertility was led by the middle classes but quickly spread throughout society. Urban growth was fuelled by movement from the countryside to the city, but there was also considerable migration overseas, particularly from Scotland, although to some extent outmigration was offset by immigration. There was local and regional variation in these patterns, and a contrast between the demographic experiences of Scotland and of England and Wales. Marriage was later in Scotland but fertility within marriage higher, and the improvement in Scottish mortality was slower than that south of the border. However, while there has been research on local and regional patterns within each country, these have mainly been pursued separately, and it is therefore unclear whether there were real national differences or whether there were local demographic continuities across borders, and if so whether they followed economic, occupational, cultural or even linguistic lines. Understanding population processes involves a holistic appreciation of the interaction between the basic demographic components of fertility, mortality, nuptiality and migration, and how they come together, interacting with economic and cultural processes, to create a specific demographic system via the spread of people and ideas. This project is the first to consider a historical population geography of the whole of Great Britain across the first demographic transition, drawing together measures of nuptiality, fertility, mortality and migration for small geographic areas and unpacking how they interacted to produce the more readily available broad-brush national patterns for Scotland and for England and Wales.

We will build on our immensely successful project on the fertility of Victorian England and Wales, which used complete count census data for England and Wales to calculate more detailed fertility measures than ever previously possible for some 2000 small geographic areas and 8 social groups, allowing the investigation of intra-urban as well as urban-rural differences in fertility. The new measures allowed us to examine age patterns of fertility across the two countries for the first time. We were also able to calculate contextual variables from the census data which allowed us to undertake spatial analysis of the influences on fertility over time. As well as academic papers, our previous project presented summary data at a fine spatial resolution in an interactive online atlas, populationspast.org, a major new resource which is already being widely used as a teaching tool in both schools and universities.

In this new project we will calculate comparable measures of fertility and contextual variables using the full count census data for Scotland, 1851 to 1901 inclusive, to complement those for England and Wales. However, our new project will go considerably further and will integrate place-specific measures of mortality and migration, for both Scotland and for England and Wales. We will provide new age-specific data on fertility, mortality and migration for the whole of Great Britain using existing datasets, at a finer geographic level than has previously been possible, and will analyse these spatially and temporally to gain a panoramic understanding of the forces driving this crucial period of demographic and social change. We will expand populationspast.org to bring our new findings to a wide academic and non-academic audience and will provide the data for others to explore interactively.

This spreadsheet is the underlying data for the biodiversity indicator C4b, Status of UK priority species - distribution.

Priorities for species and habitat conservation are set at a country level through country biodiversity or environment strategies. Each country has an identified list of priority species, which are of high conservation concern due, for example, to restricted range or population declines. The indicator therefore includes a substantial number of species that, by definition, are becoming less widespread.

Measures of distribution are less sensitive to change than measures of abundance (as included in indicator C4a). Nonetheless, if a species that has been declining starts to recover, its distribution will stabilize, and may start to increase. If the proportion of species in the indicator that are stable or increasing grows, the indicator will start to decline less steeply. If the proportion declines, it will fall more steeply. Success in each country can therefore be judged by reference to trends in indicators C4a and C4b, as well as other information on other priority species for which there are insufficient data for inclusion in the indicator.

The indicator shows occupancy changes of priority species in the UK: defined as those on one or more of the biodiversity lists of each UK country (Natural Environmental and Rural Communities Act 2006 - Section 41 (England) and Section 42 (Wales), Northern Ireland Priority Species list, Scottish Biodiversity List). The combined list contains 2,890 species in total. The priority species identified in each of the four UK countries were highlighted as being of conservation concern for a variety of reasons, including rapid decline in some of their populations. This indicator should be read in conjunction with C4a which provides data on those species for which abundance information is available.

This is one of a suite of 24 UK biodiversity indicators published by JNCC on behalf of Defra; the latest publication date was 19 January 2016 - for indicator C4b the latest data are for 2012. The supporting technical document details the methodology used to create the indicator.

Scotland’s population was estimated to be 5,466,000 on 30 June 2020 (referred to as mid-2020). The population increased by 2,700 people (0.05%) in the year to mid-2020, the slowest growth since the year to mid-2003. The average growth in the 5 years to mid-2019 was around 23,000 people (0.43%). There were 63,100 deaths and 48,700 births in the year ending mid-2020. There were 14,500 more deaths than births, more deaths than births for the sixth year running and the largest natural decrease on record. There were 2,000 (4%) fewer births than the previous year, a decrease in line with trends seen in previous years. The number of deaths was 6,900 (12%) more than the previous year, which is a larger increase than previous years. Migration was the main driver of population growth, with 16,900 more people moving to Scotland than leaving in the year to mid-2020; +9,000 from the rest of the UK and +7,900 from overseas. This was lower than in recent years. Population change varies across Scotland. Around two thirds of council areas (20 out of 32) experienced population decline, with 12 areas seeing population growth in the last year. Areas facing the greatest population decline were mainly in the west of the country. Most council areas (25 out of 32) saw more people move to the area than leave in the year to mid-2020. Only one council area, Midlothian, had more births than deaths over the same period.

The United Kingdom: Rural population, percent of total population: The latest value from 2024 is 15.12 percent, a decline from 15.36 percent in 2023. In comparison, the world average is 38.30 percent, based on data from 196 countries. Historically, the average for the United Kingdom from 1960 to 2024 is 20.51 percent. The minimum value, 15.12 percent, was reached in 2024 while the maximum of 22.97 percent was recorded in 1971.

In the United Kingdom, Dartford Warblers (Sylvia undata) are mainly confined to the remaining fragments of lowland heath and, as a consequence of the interest in the flora and fauna of this much-threatened habitat, their populations and ecology have been well studied. Historically, the Dartford Warbler had a much wider distribution, and was presumably more abundant, than in recent years. Since the nineteenth century, the population went into steep decline, at least in part due to habitat loss and fragmentation. The most recent survey in 2006, however, recorded a major expansion in range and population size. The UK population has been well monitored, with full surveys in 1974, 1984, 1994 and 2006. The first two surveys were funded by RSPB; the 1994 survey was funded by RSPB and English Nature (now Natural England); the 2006 survey was funded by RSPB, BTO, Natural England and the Forestry Commission (England) under the Statutory Conservation Agencies and RSPB Breeding Bird Scheme (SCARABBS).
Though the population in the UK is small compared with that of southern and western France and Spain, the species is considered to be of conservation concern in Europe because of losses in some of the most valuable habitats in Spain, including the Mediterranean maquis. 1974 Survey: This dataset includes every recorded territory. However, in the New Forest, although 203 pairs were actually found, two large areas thought to support about 40 pairs were not recorded at all and another area was only partially covered. Therefore, the total population count includes an element of estimation. The total population was estimated to be 557 pairs, which was close to the 460 pairs estimated at the last peak in 1960-61. However, the centre of the distribution had moved further west. The species is very susceptible to cold winters, but the population was high in 1974 after a long run of mild winter weather. The preferred habitat was mature heather with a generous mixture of gorse of medium height. Small fragments of heath were found to be less densely occupied than larger ones. For more information see Bibby & Tubbs (1975), British Birds 68: p177-195.
1984 Survey: The number of territories recorded in 1984 was 423. The totals recorded in this dataset represent the minimum number of breeding males, taken as equivalent to pairs, which were counted on two or more visits between April and June. Increases in territory numbers were especially noted in Surrey, which had a strong population after recovery from extinction in 1961, and Cornwall was occupied after a 40-year absence. In the centre of the range, about 10-15% of the population decline is attributed to the fact that colder winters preceded the 1984 survey compared with the mild winters preceding the 1974 survey. A loss of 75 territories was due to growth of forestry plantations, temporarily suitable in 1974 but by 1984 too old (and permanently unsuitable), and unfortunately not replaced by other new plantings. The amount of suitable habitat remained about the same in the New Forest, but declined by about 10% in Dorset. Further losses in Dorset were due to degradation of sites, and the effects of fragmentation and isolation. For more information, see Robbins & Bibby (1985), British Birds 78: 269-280.
1994 Survey: A total of 1,600-1,670 territories was recorded, though it is likely that the actual population was slightly higher (1,800-1,890 territories), representing a near four-fold increase in population since the 1984 survey. Observers were asked to visit each site (or 1km grid square in the New Forest) at least twice, once during April to mid-May and once during mid-May to the end of June. This dataset includes every territory recorded by the observers. The observers recorded the number of singing males and information such as whether the bird was calling or carrying nest material etc. They used this to information to provide their best estimate