There were approximately 4.8 million people employed in London as of the first quarter of 2025, compared with 3.4 million in the first quarter of 2000.

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.

Images are of 102 adult faces 1350x1350 pixels in full colour. Template files mark out 189 coordinates delineating face shape, for use with Psychomorph or WebMorph.org.Self-reported age, gender and ethnicity are included in the file london_faces_info.csv. Attractiveness ratings (on a 1-7 scale from "much less attractiveness than average" to "much more attractive than average") for the neutral front faces from 2513 people (ages 17-90) are included in the file london_faces_ratings.csv.All individuals gave signed consent for their images to be "used in lab-based and web-based studies in their original or altered forms and to illustrate research (e.g., in scientific journals, news media or presentations)." Images were taken in London, UK, in April 2012.

This dataset is about books. It has 1 row and is filtered where the book is Police and people in London : the PSI report. It features 7 columns including author, publication date, language, and book publisher.

People data provides complete people information and gives the ability to link individual information to organizations and roles.

In 2024/25, approximately 5,462 of the 13,231 people seen to be sleeping rough in London were from the UK, the most-common nationality that year. The second-most common nationality was Romanian, at 828 people.

Estimate of People of All Ages in Poverty in New London County, CT was 23102.00000 Persons in January of 2021, according to the United States Federal Reserve. Historically, Estimate of People of All Ages in Poverty in New London County, CT reached a record high of 28868.00000 in January of 2014 and a record low of 15958.00000 in January of 2001. Trading Economics provides the current actual value, an historical data chart and related indicators for Estimate of People of All Ages in Poverty in New London County, CT - last updated from the United States Federal Reserve on July of 2025.

This dataset is about books. It has 1 row and is filtered where the book is The City of London : who, what, why? : a collection of articles explaining the City of London; its civic traditions, historic offices, people and current purpose. It features 7 columns including author, publication date, language, and book publisher.

Estimated Percent of People of All Ages in Poverty for New London County, CT was 8.90% in January of 2021, according to the United States Federal Reserve. Historically, Estimated Percent of People of All Ages in Poverty for New London County, CT reached a record high of 11.10 in January of 2014 and a record low of 6.30 in January of 2001. Trading Economics provides the current actual value, an historical data chart and related indicators for Estimated Percent of People of All Ages in Poverty for New London County, CT - last updated from the United States Federal Reserve on June of 2025.

In 2024/25, ******people who were seen to be sleeping rough in London were white, the most common age group in that year. In this same year, ******people seen to be homeless were Black, and a further ******were Asian.

Estimate of People Age 0-17 in Poverty in New London County, CT was 6212.00000 Persons in January of 2021, according to the United States Federal Reserve. Historically, Estimate of People Age 0-17 in Poverty in New London County, CT reached a record high of 9333.00000 in January of 2015 and a record low of 4857.00000 in January of 2001. Trading Economics provides the current actual value, an historical data chart and related indicators for Estimate of People Age 0-17 in Poverty in New London County, CT - last updated from the United States Federal Reserve on July of 2025.

Dataset

This dataset was created by haohao

Contents

This page contains analyses of serious youth violence conducted by the GLA’s Strategic Crime Analysis team and MOPAC Evidence and Insight Team to inform work to prevent and reduce serious violence affecting young people in London. The page contains 4 separate analyses. The first two analyses in 2018 were produced in support of an over-arching report ‘Progressing a Public Health Approach to Violence Prevention and Reduction’. The third contains an update of the data pack produced in July 2019. And the most recent analysis published in 2021, provides more comprehensive analysis and statistical modelling which makes use of improvements to public health data related to violence.

Abstract copyright UK Data Service and data collection copyright owner.

This project examines the crucial role of family and household in the social and economic transformations that took place in London in the sixteenth and seventeenth centuries. Population growth, immigration, urbanisation, and commercialisation produced new patterns of sociability, gender relations, employment, and domestic lifestyle. The family was central to all these developments, but has been little studied in detail. The project will reconstruct and analyse the dense matrix of families, households, properties, and buildings in sample areas of the capital, and trace their evolution over time, gaining new insights into social structures and the agents and circumstances of change.
Main Topics:

The digital resource comprises a series of datasets which contain information about individuals, households and properties transcribed and extracted from a wide range of sources from the period 1540-1710 (a complete list of sources is included in the documentation for the database). The project database contains information on over 60,000 individuals, as well as over 24,000 records of 'listing type' information for five parishes at the eastern end of Cheapside, and 5000 such records for Tower Hill precinct in the parish of St Botolph Aldgate. The information provided in these records comprises names, titles, places of residence (by ward and/or parish and/or street), occupations, and where appropriate an assessment of sums owed according to the function of each particular list.

The datasets also include family reconstitutions for the five Cheapside parishes and Clerkenwell, and derived from parish register entries (there was almost complete and continuous register coverage). In all, the data covers 22,324 instances of people experiencing a baptism, marriage or burial in Cheapside, and 19,095 instances of persons related to them; 140,713 people experiencing a vital event in Clerkenwell and 95,927 'related' people. These data have been used for the reconstitution of 3,809 biological/nuclear families containing 9,027 unique children in Cheapside and 26,324 reconstituted families containing 44,052 unique children in Clerkenwell.

In addition to the project database and the family reconstitution data, a number of sources have been transcribed in a structured format which allows for the viewing of the individual sources used in the database without the need for viewing any related data from other sources.

Estimated Percent of People Age 0-17 in Poverty for New London County, CT was 12.20% in January of 2021, according to the United States Federal Reserve. Historically, Estimated Percent of People Age 0-17 in Poverty for New London County, CT reached a record high of 17.40 in January of 2015 and a record low of 7.90 in January of 2001. Trading Economics provides the current actual value, an historical data chart and related indicators for Estimated Percent of People Age 0-17 in Poverty for New London County, CT - last updated from the United States Federal Reserve on July of 2025.

Statistics of how many adults access the internet and use different types of technology covering: home internet access how people connect to the web how often people use the web/computers whether people use mobile devices whether people buy goods over the web whether people carried out specified activities over the internet For more information see the ONS website and the UKDS website.

The report looks into the various drivers of social exclusion amongst older people (although many of these indicators are equally relevant amongst all age groups) and attempts to identify areas in London where susceptibility is particularly high. Six key drivers have been included with various indicators used in an attempt to measure these. The majority of these indicators are at Lower Super Output Area (LSOA) level in an effort to identify areas at as small a geography as possible. Key Driver Indicator Description Economic Situation Income deprivation Income Deprivation Affecting Older People Score from the 2015 Indices of Deprivation Transport Accessibility Public Transport Average Public Transport Accessibility Score Car access Percentage aged 65 and over with no cars or vans in household Household Ties One person households Percentage aged 65+ living alone Providing unpaid care Percentage aged 65+ providing 50 or more hours of unpaid care a week Neighbourhood Ties Proficiency in English Percent aged 65+ who cannot speak English well Churn Rate Churn Rate: (inflow+outflow) per 100 population Health Mental health Estimated prevalence of dementia amongst population aged 65 and over (%) General health Percentage aged 65+ with a limiting long-term health problem or disability Safety Fear of crime Percentage in borough worried about anti-social behaviour in area Percentage in borough who feel unsafe walking alone after dark Crime rates Total offences per 100 population

In 2024/25, 13,231 people who were seen to be sleeping rough in London compared with 11,993 in the previous reporting year, and the most reported during this time period. The number of people reported to be sleeping rough has steadily increased throughout this time period, with the dip in 2020/21, and 2022/23, likely related to the COVID-19 pandemic. Demographics of London's homeless As of the most recent reporting year, over 2,000 of London's rough sleepers were in the borough of Westminster, the most of any London borough. In terms of gender, the majority of rough sleepers are male, with more than 10,000 men seen to be sleeping rough, compared with 2,149 women, and 18 non-binary people. The most common age group was among those aged between 36 and 45 years old, at more than 3,900, compared with 1,411 25 and under, 3,580 aged between 26 and 34, 2,860 aged 45 and 55, and around 1,578 over 55s. Homelessness in the U.S. Homelessness is also an important social issue in several other countries. In the United States, for example, there were estimated to be approximately 653,104 people experiencing homelessness in 2023. This was a noticeable increase on the previous year, and the highest number between 2007 and 2023. When looking at U.S. states, New York had the highest homelessness rate, at 52 individuals per 10,000 population, followed by Vermont at 51.

Graph and download economic data for Estimate of People of All Ages in Poverty in New London County, CT (PEAACT09011A647NCEN) from 1989 to 2021 about New London County, CT; Norwich; CT; child; poverty; persons; and USA.

The GLA provides roll projections to 25 London boroughs, and has now produced pilot pan-London roll projections. These are supplemented by two sets of EXCEL files, reflecting conclusions in earlier Education Research Briefings and discussion with London boroughs.

Taken together the EXCEL files include approximately 100 Tables, and provide a wide range of information on locally-resident children and on the schools they attend, wherever these may be. They cover issues such as age, gender, mother tongue, ethnicity, poverty, and SEN. A comparison of the data in the Tables with information held by London boroughs will indicate how far school intake mirrors the characteristics of the locally-resident pupil population at borough/county district level.

Additionally, the longitudinal Tables provide indicators of inward mobility to individual boroughs and county countricts, as well as of the number of children of compulsory school age who 'go missing' from state schooling.

2008 Pupil Characteristics - Excel File (Zip file)

[2006/07 Longitudinal Pupil Characteristics
- Excel File](https://s3-eu-west-1.amazonaws.com/londondatastore-upload/longitudinal-pupil-characteristics-06-07.xls)