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

Official Ordnance Survey polygons showing Borough boundaries and reference code to link to national statistics.2018. Data is an extract from Ordnance Survey Boundary-Line product which is a specialist 1:10 000 scale boundaries dataset. It contains all levels of electoral and administrative boundaries, from district, wards and civil parishes (or communities) up to parliamentary, assembly and European constituencies. The information is represented as vector digital data. The boundary information is updated twice a year, in May and October. The May release contains the boundaries that have become live in the first week of May, in the year of release. The October release contains the May boundaries plus additional information. Ordnance Survey Open Data - Contains public sector information licensed under the Open Government Licence v3.0

Content

The London boroughs profiles Data about demography, diversity, labour market, economy, community safety, housing, environment, transport, children, health and governance

Acknowledgements

Thanks for taking your time to look at this data and thanks for any suggestions.

Inspiration

I am new to data analysis and I would like some suggestions on how to analyse this dataset and possibly create a visualasation, or predictive analysis.

Air Pollution Health Impacts in London Boroughs

Incidence and 95% Confidence intervals

By data.world's Admin [source]

About this dataset

This dataset reveals the long-term health impacts of air pollution in London's boroughs. Home to over 8 million people, London's air pollution is a growing health concern and this study provides invaluable insights into the devastating effects of exposure.

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For more datasets, click here.

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How to use the dataset

How to Use this Dataset:

This dataset provides detailed analysis of the long-term health impacts of air pollution. It includes estimated cases and costs associated with each borough, as well as projections for each scenario used in modelling the effects. This dataset is useful for learners who want to learn about how various factors, such as population growth or new technologies, may affect future health outcomes related to air pollution in London.

The columns included are ‘Scenario’ (the scenario used), ‘Year’ (the year modelled), ‘Disease’ (the type of disease modelled), ‘AgeGroup’ (the age group of the population modelled) and ‘95% CL’ (confidence level).

To understand these columns further we recommend looking at the original source report. This will provide additional detail about each element considered when modelling.

To get started with analysing this data set we recommend exploring how estimates differ between scenarios and considering which ages benefit most from different interventions proposed by London Environment Strategy for reducing diseases caused by air pollution. Additionally you could look at different diseases separately, or consider disease costs versus number of cases across different age groups and scenarios

Research Ideas

• Analyzing the long-term impact of air pollution on London's NHS and social care system by borough.
• Comparing the health impacts of different scenarios related to air pollution in different years and age groups to inform effective policymaking.
• Modeling how changes in air pollution levels might affect different diseases or health outcomes over time in a particular area or community

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

See the dataset description for more information.

Columns

File: newham-no2-xlsm-18.csv | Column name | Description | |:--------------|:-----------------------------------------------------------------------------------------| | Scenario | The scenario used to model potential long-term health impacts of air pollution. (String) | | Year | Year of modelling which ranges from 2016 - 2050. (Integer) | | Disease | The type of disease attributable to air pollution. (String) | | AgeGroup | Age range which data relates to. (String) | | 95% CL | 95% Confidence Level based on modeling techniques used in study. (Float) |

File: bromley-pm25-xlsm-35.csv | Column name | Description | |:--------------|:-----------------------------------------------------------------------------------------| | Scenario | The scenario used to model potential long-term health impacts of air pollution. (String) | | Year | Year of modelling which ranges from 2016 - 2050. (Integer) | | Disease | The type of disease attributable to air pollution. (String) | | AgeGroup | Age range which data relates to. (String) | | 95% CL | 95% Confidence Level based on modeling techniques used in study. (Float) |

Acknowledgements

If you use this dataset in your research, please credit the original authors. If you use this dataset in your research, please credit data.world's Admin.

In 2024/25, there were ***** rough sleepers reported in Westminster, making it the London borough with the highest number of rough sleepers in that year. Other boroughs which also had a high number of homeless people included, Camden, Ealing, and Southwark.

The London Borough Profiles help paint a general picture of an area by presenting a range of headline indicator data in both spreadsheet and map form to help show statistics covering demographic, economic, social and environmental datasets for each borough, alongside relevant comparator areas. The London Borough Atlas does the same but provides further detailed breakdowns and time-series data for each borough. The full datasets and more information for each of the indicators are usually available on the London Datastore. A link to each of the datasets is contained in the spreadsheet and map. London Borough Profiles On opening the Microsoft Excel version, a simple drop down box allows you to choose which borough profile you are interested in. Selecting this will display data for that borough, plus either Inner or Outer London, London and a national comparator (usually England where data is available). To see the full set of data for all 33 local authorities in London plus the comparator areas in Excel, click the 'Data' worksheet. A chart and a map are also available to help visualise the data for all boroughs (macros must be enabled for the Excel map to function). The data is set out across 11 themes covering most of the key indicators relating to demographic, economic, social and environmental data. Sources are provided in the spreadsheet. Notes about the indicator are provided in comment boxes attached to the indicator names. For a geographical and bar chart representation of the profile data, choose the InstantAtlas version. Choose indicators from the left hand side. Click on the comparators to make them appear on the chart and map. Sources, links to data, and notes are all contained in the box in the bottom right hand corner. These profiles include data relating to: Population, Households (census), Demographics, Migrant population, Ethnicity, Language, Employment, NEET, DWP Benefits (client group), Housing Benefit, Qualifications, Earnings, Volunteering, Jobs density, Business Survival, Crime, Fires, House prices, New homes, Tenure, Greenspace, Recycling, Carbon Emissions, Cars, Public Transport Accessibility (PTAL), Indices of Multiple Deprivation, GCSE results, Children looked after, Children in out-of-work families, Life Expectancy, Teenage conceptions, Happiness levels, Political control, and Election turnout. London Borough Atlas To access even more data at local authority level, use the London Borough Atlas. It contains data about the same topics as the profiles but provides further detailed breakdowns and time-series data for each borough. There is also an InstantAtlas version available. The London boroughs are: City of London, Barking and Dagenham, Barnet, Bexley, Brent, Bromley, Camden, Croydon, Ealing, Enfield, Greenwich, Hackney, Hammersmith and Fulham, Haringey, Harrow, Havering, Hillingdon, Hounslow, Islington, Kensington and Chelsea, Kingston upon Thames, Lambeth, Lewisham, Merton, Newham, Redbridge, Richmond upon Thames, Southwark, Sutton, Tower Hamlets, Waltham Forest, Wandsworth, Westminster. You may also find our small area profiles useful - Ward, LSOA, and MSOA.

A PDF map of the London boroughs as at December 2018. The map shows the London boroughs split into inner London and outer London. (File Size - 228 KB).

A PDF map of the London boroughs as at December 2015. The map shows the London boroughs split into inner London and outer London. (File Size - 225 KB).

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.

https://londondatastore-upload.s3.amazonaws.com/fol/FocusOnLondonCoverweb.jpg" alt=""/>

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.

Wandsworth, Bromley, and Croydon were the boroughs with the most active housing markets in London in 2024. Throughout the year, Wandsworth recorded over ***** housing transactions. At the other end of the spectrum was the City of London, one of the priciest housing markets in London, where *** sales took place.

Content

These are shapefiles that define the boundaries of all London boroughs and wards, as they were until 2014. These can be used to create visualisations from many datasets found at London Datastore.

Acknowledgements

Reproduced under the UK Open Government Licence v2.0

Contains National Statistics data © Crown copyright and database right [2015]

Contains Ordnance Survey data © Crown copyright and database right [2015]

Photo by Benjamin Davies on Unsplash

TAKING PART SURVEY This data shows satisfaction with life in general across a number of groups. The exact question posed to repondents was: 'Taking all things together, how happy would you say you are'. The scale for answers is between 1 (very unhappy) to 10 (extremely happy). Breakdowns presented include age, gender, ethnicity, employment status, having children, tenure, social interactions, satisfaction with neighbourhood and donating to charity. Read summary report of the key findings for 2010/11. See all the Charts online The borough level data shows combined scores from 3 years of the survey, excluding 2009/10 when there was no happiness question in the survey. The combined score was calculated by totalling all valid repsonses across these three years. The base is the total number of valid responses over the whole period ('valid' excludes people who refused the question or answered 'dont know'). This piece of research is related to London Ward Well-being Scores and Subjective Personal Well-being, Borough

A free mapping tool that allows you to create a thematic map of London without any specialist GIS skills or software - all you need is Microsoft Excel. Templates are available for London’s Boroughs and Wards. Full instructions are contained within the spreadsheets. Macros The tool works in any version of Excel. But the user MUST ENABLE MACROS, for the features to work. There a some restrictions on functionality in the ward maps in Excel 2003 and earlier - full instructions are included in the spreadsheet. To check whether the macros are enabled in Excel 2003 click Tools, Macro, Security and change the setting to Medium. Then you have to re-start Excel for the changes to take effect. When Excel starts up a prompt will ask if you want to enable macros - click yes. In Excel 2007 and later, it should be set by default to the correct setting, but if it has been changed, click on the Windows Office button in the top corner, then Excel options (at the bottom), Trust Centre, Trust Centre Settings, and make sure it is set to 'Disable all macros with notification'. Then when you open the spreadsheet, a prompt labelled 'Options' will appear at the top for you to enable macros. To create your own thematic borough maps in Excel using the ward map tool as a starting point, read these instructions. You will need to be a confident Excel user, and have access to your boundaries as a picture file from elsewhere. The mapping tools created here are all fully open access with no passwords. Copyright notice: If you publish these maps, a copyright notice must be included within the report saying: "Contains Ordnance Survey data © Crown copyright and database rights." NOTE: Excel 2003 users must 'ungroup' the map for it to work.

This dataset is about books. It has 8 rows and is filtered where the book publisher is London Boroughs Association. It features 7 columns including author, publication date, language, and book publisher.

Responsibility for public health was devolved to local authorities in 2013/14. They are now responsible for improving the health of their local population and reducing health inequalities. The reports featured on this page are rapid analyses conducted by City Intelligence at the GLA, examining the public health grants that are allocated to London local authorities each year. Reports are available for the grants allocated for 2020 to 2021, 2022 to 2023, 2024 to 2025 and 2025 to 2026.

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.

Dataset

This dataset was created by Sam Thomas

Released under Data files © Original Authors

Contents

Newham and Greenwich were the boroughs in London with the highest number of new housing construction starts in 2022/2023. Most of those dwellings were being developed by the private sector. That year, there were no construction starts in the City of London, while there were only ** housing starts in Sutton. The figures for some of the boroughs were imputed, which means that those values were missing and were replaced with other data.

This dataset contains detailed records of traffic accidents in London's boroughs during 2022-2023, including location, severity, environmental conditions, and other contributing factors. It is ideal for analyzing accident patterns, safety trends, and predictive modeling.

• Accident Details: Unique accident IDs, dates, and severity levels.
• Location Information: Coordinates (easting, northing, longitude, latitude) and borough identifiers.
• Vehicle and Casualty Data: Number of vehicles and casualties involved in each accident.
• Environmental Factors: Light, weather, and road surface conditions at the time of the accident.
• Special Conditions: Information on pedestrian crossings, road hazards, and police involvement.

This dataset includes the locations and species information for over 1,100,000 of London's public realm trees. It also includes additional information such as size and age for some of these trees. These are predominantly street trees and trees in parks and open spaces, but the dataset also includes some trees found in school grounds and on publicly maintained housing land. The data does not represent the entirety of the capital's urban forest - the London iTree report estimated that there are over eight million trees in London, which includes trees in woodlands, parks, streets, private gardens and more. The data includes tree inventory data from 30 of London's 32 boroughs, the City of London, Transport for London, the Royal Parks, the London Legacy Development Corporation (which manages Queen Elizabeth Olympic Park) and Quintain (which manages Wembley Park). As recognised in the London Urban Forest Plan (LUFP), collating data about London's urban forest is challenging due to the number of landowners and managers involved, as well as the limited resources available. Both the original LUFP and the associated 2025 update committed to undertaking regular updates to this map, and also, over time, to collating a London-wide inventory of publicly owned and managed trees, in line with emerging national standards. The data is used on the London Public Realm Tree Map.

Notes on the data:

This map was first published in 2016, based on data collected in 2014-15. A first update was issued in 2021, based on data collected in 2019-20. The latest update was released in May 2025, based on data collected in 2024-25. Where boroughs did not provide updated data in 2024-25, the 2019-20 data has been retained (e.g. Bromley). The data supplied for this map is a direct extract from London’s public realm tree managers’ individual tree inventories at that time. Trees may have been surveyed some time before it came to be shared for this map, therefore some records may be several years old. The map includes data from 30 of the London boroughs, the City of London and Transport for London (TfL), the Royal Parks, the London Legacy Development Corporation (which manages Queen Elizabeth Olympic Park) and Quintain (which manages Wembley Park). Data has not been received to date from three boroughs. We aim to add any additional data received to the Datastore and online map. Some large gaps on the map are due to large green spaces such as woodlands, reservoirs, or airports, as well as those boroughs where data is missing. The data received varies significantly by borough. Some boroughs have only included trees on highways, whilst others have included trees on housing land, in schools or in parks. In some cases trees were recorded only when work was carried out. There is not a consistent or agreed format for collecting or recording tree data across London. This presents a challenge in collating data across multiple boroughs. Many boroughs collect a range of information about their trees (e.g. age, height). However this varied by borough in terms of the information collected and categorisations used so we were not able to standardise this information. Tree species data has been standardised to allow for simplified common name to be used as filters display on the tree webmap (e. g. “Pear”). These are the common names for the 24 types of tree appearing most frequently in the data (which encompass 90% of all trees), with the remaining trees categorised as “Other”. We have also left the species name as provided by the borough in the data. The ‘tree ID’ number has been added to the data to help map it. This number is not linked to borough’s tree management systems.

Warning: Large file size may result in a long download time