As of 2024, the population density in London was by far the highest number of people per square km in the UK, at *****. Of the other regions and countries which constitute the United Kingdom, North West England was the next most densely populated area at *** people per square kilometer. Scotland, by contrast, is the most sparsely populated country or region in the United Kingdom, with only ** people per square kilometer. Countries, regions, and cities In 2024, the population of the United Kingdom reached **** million. The majority of people in the UK live in England, which had a population of **** million that year, followed by Scotland at *** million, Wales at **** million and finally Northern Ireland at just over *** million. Within England, the South East was the region with the highest population at almost *** million, followed by London at just over *****million. In terms of cities, London is the largest urban agglomeration in the United Kingdom, followed by Manchester, and then Birmingham, although both these cities combined would still have a smaller population than the UK capital. London calling London's huge size in relation to other UK cities is also reflected by its economic performance. In 2023, London's GDP was over ****billion British pounds, around a quarter of UK's overall GDP. In terms of GDP per capita, Londoners had a GDP per head of ****** pounds, compared with an average of ****** for the country as a whole. Productivity, expressed as by output per hour worked, was also far higher in London than the rest of the country. In 2023, London was around *****percent more productive than the rest of the country, with South East England the only other region where productivity was higher than the national average.

This dataset provides Census 2021 estimates that classify usual residents in England and Wales by population density (number of usual residents per square kilometre). The estimates are as at Census Day, 21 March 2021.

Area type

Census 2021 statistics are published for a number of different geographies. These can be large, for example the whole of England, or small, for example an output area (OA), the lowest level of geography for which statistics are produced.

For higher levels of geography, more detailed statistics can be produced. When a lower level of geography is used, such as output areas (which have a minimum of 100 persons), the statistics produced have less detail. This is to protect the confidentiality of people and ensure that individuals or their characteristics cannot be identified.

Lower Tier Local Authorities

Lower tier local authorities provide a range of local services. In England there are 309 lower tier local authorities. These are made up of non-metropolitan districts (181), unitary authorities (59), metropolitan districts (36) and London boroughs (33, including City of London). In Wales there are 22 local authorities made up of 22 unitary authorities. Of these local authority types, only non-metropolitan districts are not additionally classified as upper tier local authorities.

This graph displays the ratio between the annual average population and the land area of different regions within the United Kingdom (UK) as of 2015. The data shows that in Eastern Inner London there were on average ****** people per square kilometer, whereas in the Highlands and islands of Scotland there was an average of **** people per square kilometer. Information regarding the population density of London and other UK cities can be found here.

This report was released in September 2010. However, recent demographic data is available on the datastore - you may find other datasets on the Datastore useful such as: GLA Population Projections, National Insurance Number Registrations of Overseas Nationals, Births by Birthplace of Mother, Births and Fertility Rates, Office for National Statistics (ONS) Population Estimates

FOCUSONLONDON2010:POPULATIONANDMIGRATION

London is the United Kingdom’s only city region. Its population of 7.75 million is 12.5 per cent of the UK population living on just 0.6 per cent of the land area. London’s average population density is over 4,900 persons per square kilometre, this is ten times that of the second most densely populated region.

Between 2001 and 2009 London’s population grew by over 430 thousand, more than any other region, accounting for over 16 per cent of the UK increase.

This report discusses in detail the population of London including Population Age Structure, Fertility and Mortality, Internal Migration, International Migration, Population Turnover and Churn, and Demographic Projections.

Population and Migration report is the first release of the Focus on London 2010-12 series. Reports on themes such as Income, Poverty, Labour Market, Skills, Health, and Housing are also available.

REPORT:

Read the full report in PDF format.

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PRESENTATION:

To access an interactive presentation about population changes in London click the link to see it on Prezi.com

DATA:

To access a spreadsheet with all the data from the Population and Migration report click on the image below.

Report data

MAP:

To enter an interactive map showing a number of indicators discussed in the Population and Migration report click on the image below.

Interactive Maps

FACTS:

● Top five boroughs for babies born per 10,000 population in 2008-09:

1. Newham – 244.4
2. Barking and Dagenham – 209.3
3. Hackney – 205.7
4. Waltham Forest – 202.7
5. Greenwich – 196.2

-32. Havering – 116.8

-33. City of London – 47.0

● In 2009, Barnet overtook Croydon as the most populous London borough. Prior to this Croydon had been the largest since 1966

● Population per hectare of land used for Domestic building and gardens is highest in Tower Hamlets

● In 2008-09, natural change (births minus deaths) led to 78,000 more Londoners compared with only 8,000 due to migration. read more about this or click play on the chart below to reveal how regional components of populations change have altered over time.

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).

This graph presents the population density of the ten leading business cities in the United Kingdom (UK) in 2014. London has a significant lead in the ranking as there are 1078 more people per km² than in Bristol. Leeds, at *** people per km², is the least densely populated city on the list.

Mid-year (30 June) population density of Lower layer Super Output Areas (LSOAs) in England and Wales based on estimates of the usual resident population.

Land area and population density figures for 2001 to 2050 for wards and boroughs. Ward data begins in 2011. Population figure included are GLA estimate (2016-based projections), 2011 Census and ONS Mid-year Estimates. GLA figures are based on GLA population projections. Select which year you require from the drop-down box in the spreadsheet. Inland area takes account of water line. Areas with large bodies of water will have a smaller inland area than total area since some of the area will be water. Land area figures are taken from Ordnance Survey boundaries using MapInfo.

In 2024, Croydon had the largest population among London boroughs at just over 409,340, followed by Barnet at 405,050.

Lower and Middle Super Output Area populations by single year of age for both current and previous boundaries. Data for previous boundaries has been apportioned by the Greater London Authority. Areas that have merged were calculated using proportions from previous Mid-year population estimates (pre-revision) and applying it to the current estimates.

Data downloads:

Lower Super Output Areas (LSOA)

- current LSOA boundaries (2011) (ZIPPED) 2001-2014

- previous LSOA boundaries (2001) (ZIPPED) 2001-2013 no longer updated

Middle Super Output Areas (MSOA)

- current MSOA boundaries (2011) 2002-2014

- previous MSOA boundaries (2001) 2001-2013 no longer updated

The data is presented by sex and single year of age and also in a custom-age tool. Simply enter the age group required for males and females and the tool will automatically calculate the figure.

NB Data for current boundaries includes single year of age data for 85-89, while data for previous boundaries contains single years up to 85+.

Land Area and Population Density for MSOA and LSOA (2011) is available for most recent year in a separate file.

Download from ONS or new ONS page.

Land area and population density figures for 2001 to 2041 for wards and boroughs. Ward data begins in 2011.

Population figure included are GLA estimate (2014 projections) and 2011 Census.

GLA figures are based on GLA population projections. Select which year you require from the drop-down box in the spreadsheet.

Inland area takes account of water line. Areas with large bodies of water will have a smaller inland area than total area since some of the area will be water.
Land area figures are taken from Ordnance Survey boundaries using MapInfo.

In 2024, the population of the United Kingdom was around **** million, with approximately **** million women and **** million men. Since 1953, the male population of the UK has grown by around *** million, while the female population has increased by approximately **** 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 2024, 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 ** 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 2024, the population density of the UK was approximately *** 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 over **** million, making it significantly bigger than the next largest cities of Birmingham and Manchester. As of 2024, Scotland's largest city, Glasgow had a population of around *** million, with the largest cities in Northern Ireland, and Wales being Belfast and Cardiff, which had populations of around ******* and ******* respectively.

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Harvard Forest (HFR) contains human population density measurements in numberPerKilometerSquared units and were aggregated to a yearly timescale.

London is a city with a population of 9,300,401 and lies in the 5000 and above (Very High) density category. The city has an area of 1398.54 km² with a total green space of 41% and a tree coverage of 24%. The city lies in the North Temperate Zone of the world. The city has improved its Average health of urban vegetation when compared to Global Average and also improved its Urban green space per capita when compared to previous year. Within Europe, 37.3% of cities are ranked lower than London.

This is NOT a raw population dataset. We use our proprietary stack to combine detailed 'WorldPop' UN-adjusted, sex and age structured population data with a spatiotemporal OD matrix.

The result is a dataset where each record indicates how many people can be reached in a fixed timeframe (1 hour in this case) from that record's location.

The dataset is broken down into sex and age bands at 5 year intervals, e.g - male 25-29 (m_25) and also contains a set of features detailing the representative percentage of the total that the count represents.

The dataset provides 48420 records, one for each sampled location. These are labelled with a h3 index at resolution 7 - this allows easy plotting and filtering in Kepler.gl / Deck.gl / Mapbox, or easy conversion to a centroid (lat/lng) or the representative geometry of the hexagonal cell for integration with your geospatial applications and analyses.

A h3 resolution of 7, is a hexagonal cell area equivalent to: - ~1.9928 sq miles - ~5.1613 sq km

Higher resolutions or alternate geographies are available on request.

More information on the h3 system is available here: https://eng.uber.com/h3/

WorldPop data provides for a population count using a grid of 1 arc second intervals and is available for every geography.

More information on the WorldPop data is available here: https://www.worldpop.org/

One of the main use cases historically has been in prospecting for site selection, comparative analysis and network validation by asset investors and logistics companies. The data structure makes it very simple to filter out areas which do not meet requirements such as: - being able to access 70% of the UK population within 4 hours by Truck and show only the areas which do exhibit this characteristic.

Clients often combine different datasets either for different timeframes of interest, or to understand different populations, such as that of the unemployed, or those with particular qualifications within areas reachable as a commute.

London Base Station, Population, and Tweet DensityThe data shows the Tweet density, Base Station density, and Population density for each of the Greater London wards. A total of 532 wards are shown, with the following units: (1) Twitter data is over a 2 week period in 2012, (2) BS density is open data, and (3) Population density is residency data at 2011 census.traffic_bs_pop_wards_density.xlsx

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Harvard Forest (HFR) contains percent urban population measurements in percent units and were aggregated to a yearly timescale.

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

Update 29-04-2020: The data is now split into two files based on the variable collection frequency (monthly and yearly). Additional variables added: area size in hectares, number of jobs in the area, number of people living in the area.

Context

I have been inspired by Xavier and his work on Barcelona to explore the city of London! 🇬🇧 💂

Content

The datasets is primarily centered around the housing market of London. However, it contains a lot of additional relevant data: - Monthly average house prices - Yearly number of houses - Yearly number of houses sold - Yearly percentage of households that recycle - Yearly life satisfaction - Yearly median salary of the residents of the area - Yearly mean salary of the residents of the area - Monthly number of crimes committed - Yearly number of jobs - Yearly number of people living in the area - Area size in hectares

The data is split by areas of London called boroughs (a flag exists to identify these), but some of the variables have other geographical UK regions for reference (like England, North East, etc.). There have been no changes made to the data except for melting it into a long format from the original tables.

Acknowledgements

The data has been extracted from London Datastore. It is released under UK Open Government License v2 and v3. The underlining datasets can be found here: https://data.london.gov.uk/dataset/uk-house-price-index https://data.london.gov.uk/dataset/number-and-density-of-dwellings-by-borough https://data.london.gov.uk/dataset/subjective-personal-well-being-borough https://data.london.gov.uk/dataset/household-waste-recycling-rates-borough https://data.london.gov.uk/dataset/earnings-place-residence-borough https://data.london.gov.uk/dataset/recorded_crime_summary https://data.london.gov.uk/dataset/jobs-and-job-density-borough https://data.london.gov.uk/dataset/ons-mid-year-population-estimates-custom-age-tables

Cover photo by Frans Ruiter from Unsplash

Inspiration

The dataset lends itself for extensive exploratory data analysis. It could also be a great supervised learning regression problem to predict house price changes of different boroughs over time.

A better understanding of malaria persistence in highly seasonal environments such as highlands and desert fringes requires identifying the factors behind the spatial reservoir of the pathogen in the low season. In these ‘unstable’ malaria regions, such reservoirs play a critical role by allowing persistence during the low transmission season and therefore, between seasonal outbreaks. In the highlands of East Africa, the most populated epidemic regions in Africa, temperature is expected to be intimately connected to where in space the disease is able to persist because of pronounced altitudinal gradients. Here, we explore other environmental and demographic factors that may contribute to malaria's highland reservoir. We use an extensive spatio-temporal dataset of confirmed monthly Plasmodium falciparum cases from 1995 to 2005 that finely resolves space in an Ethiopian highland. With a Bayesian approach for parameter estimation and a generalized linear mixed model that includes a spatially structured random effect, we demonstrate that population density is important to disease persistence during the low transmission season. This population effect is not accounted for in typical models for the transmission dynamics of the disease, but is consistent in part with a more complex functional form of the force of infection proposed by theory for vector-borne infections, only during the low season as we discuss. As malaria risk usually decreases in more urban environments with increased human densities, the opposite counterintuitive finding identifies novel control targets during the low transmission season in African highlands.