🇬🇧 United Kingdom

The Green Infrastructure Focus Map is a new tool and evidence base to help London’s decision-makers identify where green infrastructure improvements and investments might be best targeted, and what kind of interventions might be most useful for the needs of a specific area. The Green Infrastructure Focus Map can help: identify where there is more need or less need for green infrastructure interventions describe which specific environmental or social issues have the greatest need for intervention in a particular location highlight other issues that green infrastructure can’t necessarily help with, but that are useful context for decision making (e.g. income deprivation) Please contact environment@london.gov.uk with any queries or feedback. Data and analysis from GLA GIS Team form a basis for the policy and investment decisions facing the Mayor of London and the GLA group. GLA Intelligence uses a wide range of information and data sourced from third party suppliers within its analysis and reports. GLA Intelligence cannot be held responsible for the accuracy or timeliness of this information and data. The GLA will not be liable for any losses suffered or liabilities incurred by a party as a result of that party relying in any way on the information contained in this report.

🇬🇧 영국

London’s first Cultural Infrastructure Map brings together new research and information that has previously not existed in one place. It plots the location of cultural infrastructure and enables the user to view it alongside useful contextual data.

This page contains cultural infrastructure data sets collected from summer 2024 to summer 2025 and published in 2024 and 2025. Data sets are uploaded as they become available over this period.

Audits of facilities or infrastructure are a snapshot in time and based on best available information. We welcome contributions or updates to the datasets from Londoners and others which can be submitted through the Cultural Infrastructure Map .

Data and analysis from GLA GIS Team form a basis for the policy and investment decisions facing the Mayor of London and the GLA group. GLA Intelligence uses a wide range of information and data sourced from third party suppliers within its analysis and reports. GLA Intelligence cannot be held responsible for the accuracy or timeliness of this information and data.

The GLA will not be liable for any losses suffered or liabilities incurred by a party as a result of that party relying in any way on the information contained in this report.

Contains OS data © Crown copyright and database rights 2024.

NOTE: The data is based on Ordnance Survey mapping and the data is published under Ordnance Survey’s ‘presumption to publish’.

NOTE: To access the data from previous cultural infrastructure audits, please visit: https://data.london.gov.uk/dataset/cultural-infrastructure-map

This topographic map is designed to be used as a basemap and a reference map. The map has been compiled by Esri and the ArcGIS user community from a variety of best available sources. The map is intended to support the ArcGIS Online basemap gallery. For more details on the map, please visit the World Topographic Map service description.

The 1966 polygons included in this data release represent the main body portion of the 37 named glaciers of Glacier National Park (GNP) and 2 named glaciers on the U.S. Forest Service’s Flathead National Forest land. This is a subset of the original mapping effort derived from 1:24000 scale mapping of named glaciers and permanent snowfields within Glacier National Park, Montana which were digitized by Richard Menicke (Glacier National Park) and Carl Key (U.S. Geological Survey) in 1993. These data are based on USGS 7.5 minute quadrangle mapping published from 1966 through 1968 which were the result of the earliest park-wide aerial surveys of snow and ice features in GNP. Examination of the aerial photographs shows that seasonal snow was present at some of the glaciers, limiting the ability of the 1966-1968 cartographers to see and map the glacier ice margins. This resulted in some smoothed and generalized outlines of the glaciers where the cartographers were likely guessing where the ice margins were under the snow. In addition, some photographs show exposed glacier margin ice with irregular patterns that are not represented by the mapped ice margin. It appeared that the original cartographers used a more generalized outline for the glaciers and were not concerned with small scale ice features even when they were evident in the photographs. Despite the generalized nature of the glacier outlines, which were also limited by mapping technology and standards of the time, the dataset represents the baseline for the glacier margins derived from aerial photography. In several cases, because of the generalized nature of the 1966-1968 mapping, a glacier perimeter did not seem as if it reflected likely location in the basin topography. In these cases the original USGS aerial imagery was referred to for verification and revision if the error seemed significant. Specifics of margin revision are detailed in attribute files for those glaciers that warranted change as part of the time series analysis conducted by Dan Fagre and Lisa McKeon (USGS) in February - August, 2016. For each glacier, determination of what constituted the "main body" was made in accordance with USGS criteria outlined in Supplemental Information section of the xml file and some disconnected patches were eliminated in the interest of keeping this analysis strictly to glacier main bodies.

This layer shows the location of the GLA of iC1000 in Hong Kong. It is a subset of Digital Land Boundary Map made available by Lands Department under the Government of Hong Kong Special Administrative Region (the “Government”) at https://www.hkmapservice.gov.hk/ (“HKMS 2.0”). The source data is in Esri File Geodatabase format and uploaded to Esri’s ArcGIS Online platform for sharing and referencing purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort.

This report contains an introduction to PM2.5, summarises our current understanding of PM2.5 concentrations and exposure, discusses the findings of research undertaken by the GLA and TfL into the extent of PM2.5 pollution in London, and assesses the potential for meeting World Health Organisation guidelines by 2030. Our analysis found that at present all Londoners are exposed to concentrations higher than WHO air quality guidelines, but, if PM2.5 reduction measures within the Mayor’s Transport Strategy and London Environment Strategy are accompanied by co-operation on a national and international level, the guideline limit is achievable by 2030. The accompanying map is the annual mean PM2.5 concentration in Greater London for 2013 by Output Area, also provided is the data behind this map, which includes the annual average PM2.5 concentration of each Output Area (OA) in Greater London. You may need to use the OA data mapping available from the London Datastore to identify specific output areas.

Image: Snapshot from the Map of Community Views

https://airdrive-images.s3-eu-west-1.amazonaws.com/london/img/dataset/map-of-community-views/2021-01-11T14%3A28%3A53/Cropped_CommEng_Issues_Detail_Ineq%402x.png" alt="">

To understand different communities’ experiences during the COVID-19 pandemic, Deputy Mayor for Social Integration, Social Mobility and Community Engagement, Dr Debbie Weekes-Bernard and the GLA Community Engagement Team convened a series of virtual roundtable conversations and community meetings with groups and community leaders between April and September 2020.

These conversations covered a range of complex issues. We heard about the overexposure of Black and Asian Minority Ethnic communities to the pandemic because they often work in frontline roles; the upsurge in hate crime against East and South East Asian Londoners; heightened need for domestic abuse support and better community language translations including specific dialects; the deep impact the virus has had on specific groups such as Somali, Bengali and Pakistani Londoners, particularly because of challenges with housing arrangements; the challenges for families around education for many groups including Gypsy, Roma, Traveller communities; concerns for LGBT+, Younger and Older Londoners; the impact of the Black Lives Matter movement; faith communities having to adapt their services and facing loss of income as a result, and much more. It was clear throughout that grassroots Faith and Community groups have played a crucial role meeting essential needs.

The map of community views does not name specific groups but captures themes that can be addressed at policy level in close partnership with those affected, by recognising the strength of London’s community sector.

21 Roundtables and Community Meetings

250 Civil society and community groups reached

Author:Greater London AuthorityCreation date:2012Date of source data harvest:2022/23Temporal coverage:up to 2012Spatial Resolution:Point locationGeometry:PointSource data URL:London Heat MapData terms of use:Open Government Licence v3 - Dataset can be shared openly for re-use for commercial and non-commercial purposes, with appropriate attribution.Data attribution:- Dataset processed by Arup as part of the West London sub-regional LAEP, 2023.- GLA London Heat Map, 2023.- Contains public sector information licensed under the Open Government Licence v3.0.Workflow Diagram:Available: pngComments:The data and analysis developed for the sub-regional LAEP was undertaken using data available at the time and will need to be refined for a full Phase 2 LAEP.Whilst every effort has been made to ensure the quality and accuracy of the data, the Greater London Authority is not responsible for any inaccuracies and/or mistakes in the information provided.

A series of London-wide climate risk maps has been produced to analyse climate exposure and vulnerability across Greater London. These maps were produced by Bloomberg Associates in collaboration with the Greater London Authority to help the GLA and other London-based organisations deliver equitable responses to the impacts of climate change and target resources to support communities at highest risk. Climate vulnerability relates to people’s exposure to climate impacts like flooding or heatwaves, but also to personal and social factors that affect their ability to cope with and respond to extreme events. High climate risk coincides with areas of income and health inequalities. A series of citywide maps overlays key metrics to identify areas within London that are most exposed to climate impacts with high concentrations of vulnerable populations. In 2022, Bloomberg Associates updated London’s climate risk maps to include additional data layers at a finer geographic scale (LSOA boundaries). These maps were built upon earlier maps using the Transport for London (Tfl) hexagonal grid (often referred to in this report as the “Hex Grid”). In addition, the map interface was updated to allow users to compare individual data layers to the Overall, Heat and Flooding Climate Risk maps. Users can now also see the specific metrics for each individual LSOA to understand which factors are driving risk throughout the city. In 2024, Bloomberg Associates further modernized the climate risk maps by updating the social factor layers to employ more recent (2021) census data. In addition, air temperature at the surface was used in place of just surface temperature, as a more accurate assessment of felt heat. The Mayor is addressing these climate risks and inequalities through the work of the London Recovery Board, which includes projects and programmes to address climate risks and ensure a green recovery from the pandemic. Ambitious policies in the London Environment Strategy and recently published new London Plan are also addressing London’s climate risks. The data layers at the LSOA level are available here to use in GIS software: Climate risk scores (overall, heat, and flood): https://cityhall.maps.arcgis.com/home/item.html?id=22484ef240624e149735ca1aaa4c9ade# Social and physical risk variables: https://cityhall.maps.arcgis.com/home/item.html?id=bc06d80731f146b393f8631a0f98c213#

Greater London Authority

For an urban heat island map during a warm summer see this dataset. This map shows the results of an ‘UrbClim’ simulation for the mean temperature at midnight during the summer of 2011 (May to September) at a resolution of 250m. This summer has been selected as a typical summer for a West-European city. On average, the night-time temperature is approximately 4°C higher in the city centre. During some hot nights, even larger effects are observed. UrbClim is an urban climate model designed to model and study the urban heat island effect (UHI) at a spatial resolution of a few hundred meters. This project was carried out by VITO as part of an EU-funded RAMSES programme on the urban impacts of climate change. For more information about the model, please see the Technical Information and Interpretation report. Please direct any enquiries to Hans Hooyberghs (hans.hooyberghs@vito.be) or Koen De Ridder (koen.deridder@vito.be).

London View management Framework protected vistas. Zipped file containing the GIS files (Mapinfo and ESRI shape) for the viewing corridors and background assessment areas from Map 7.3 of the London Plan. See more on the GLA website.

This is a copy of the London Development Database. This is the entire LDD database exported as a .sql.tar using pg_dump. For information on how to use this file and details of the database tables please refer to the document London Development database export.pdf The permissions data within this extract includes anything submitted to LDD by 06/10/2017. All data is provided by London’s planning authorities. An extract from the database can be downloaded from the London Datastore and data can be viewed on a map at https://maps.london.gov.uk/map/?ldd

Polygon feature class of London Borough Boundaries.Last updated:28/06/17;Mastermap Alignment:N/A

This dataset combines information on debt advice clients from three agencies working in London.

This dataset is built from information recorded by debt advice agencies on their client databases. It therefore does not provide a complete picture of debt in London, but helps to understand the characteristics of those seeking debt advice. The data are aggregated from three separate sources, and categories have been matched where possible to provide consistent output. Unknown cases for each variable have been omitted and numbers below 5 have been supressed, so there are different numbers of clients for each variable.

Key Findings

1. -The number of people seeking debt advice varies widely across London, up to more than 200 clients in one year in one postcode sector.
2. -Around 4 in 10 of those seeking debt advice were in the 35-49 age group
3. -Londoners seeking debt advice came from across the spectrum of society, owner occupiers to homeless, all age groups and all ethnicities.
4. -Levels of debt ranged from under £1,000 to over £1,000,000

Download Data

• Combined debt advice statistics 2010-11

• Combined debt advice statistics 2011-12

*Maps

The GLA has prepared a series of maps visualising the debt advice data. These can be downloaded in PNG format below.

Geographic Unit, Measure, 2010-11, 2011-12

Borough, Age of clients, Map (PNG), Map (PNG)

Borough, Level of debt, Map (PNG), Map (PNG)

Borough, Level of debt of clients over 65, Map (PNG), Map (PNG)

Borough, Ethnicity of clients, Map (PNG), Map (PNG)

Borough, Tenure of clients, Map (PNG), Map (PNG)

Postcode Sector, Number of clients, Map (PNG), Map (PNG)

This layer shows the location of sites allocated to government bureau/department for projects or use in Hong Kong. It is a set of data made available by the Lands Department under the Government of Hong Kong Special Administrative Region (the "Government") at https://portal.csdi.gov.hk ("CSDI Portal"). The source data has been processed and converted into Esri File Geodatabase format and uploaded to Esri's ArcGIS Online platform for sharing and reference purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort.For details about the data, source format and terms of conditions of usage, please refer to the website of Hong Kong CSDI Portal at https://portal.csdi.gov.hk.Notes: GLA user type code, e.g., WS = Work Site, WA = Works Area, WSWA = Work Sites/ Works Area, SC = Storage Compound/ Depot, GO = Government Office, OTH = Others (e.g. latrine, bath house, refuse collection point or pumping station, etc.), CQ = Government Quarters, HC = Hospital/ Clinic, E = Education, OS = Open Space政府撥地用途類型代碼，例如: WS = 施工區, WA = 工地, WSWA = 施工區／工地, SC = 綜合貯存／倉庫, GO = 政府辦公室, OTH = 其他（例如廁所、浴室、垃圾收集站或抽水站等）, CQ = 政府宿舍, HC = 醫院／診所, E = 教育相關, OS = 休憩用地

The ESOL Planning Map, first published in September 2021, is based on the English language proficiency dataset from the Census of 2021, specifically the 'little' or 'no English' categories (combined). It aims to support ESOL providers, funders, commissioners and policymakers with ESOL planning and policymaking.

The map includes information on local ESOL providers funded via the Mayor’s Adult Skills Fund (ASF) and non-ASF ESOL providers, to encourage partnership working. This information sits alongside information on potential delivery venues and/or referral partners (schools, libraries and community centres). A layer based on data from the Index of Multiple Deprivation (2019) allows organisations to further target their provision or funding where funding is limited. Finally, the map contains information on ESOL engagement through Adult Skills Fund (ASF) funded ESOL provision.

You can compare data on English language proficiency between 2011 and 2023 using the GLA's Census Explorer .

We add new and updated datasets as they become available. The underlying datasets are also available on this page for your use. Feedback, including how you make use of the map or underlying data and suggestions, are welcome.

London’s first Cultural Infrastructure Map brings together new research and information that has previously not existed in one place. It plots the location of cultural infrastructure and enables the user to view it alongside useful contextual data. This page contains cultural infrastructure data sets collected in the spring and summer of 2022 and published in 2023. Audits of facilities or infrastructure are a snapshot in time and based on best available information. We welcome contributions or updates to the datasets from Londoners and others which can be submitted through the Cultural Infrastructure Map . Since the previous data sets were published in 2019, the definition and typologies of premises that feed into the ‘Music venues all’ category have been changed to ensure that the category is mapped in an improved consistency. Changes mean that the 2019 and 2023 datasets aren’t directly comparable. Data and analysis from GLA GIS Team form a basis for the policy and investment decisions facing the Mayor of London and the GLA group. GLA Intelligence uses a wide range of information and data sourced from third party suppliers within its analysis and reports. GLA Intelligence cannot be held responsible for the accuracy or timeliness of this information and data. The GLA will not be liable for any losses suffered or liabilities incurred by a party as a result of that party relying in any way on the information contained in this report. Contains OS data © Crown copyright and database rights 2019. Contains Audience Agency data. Contains CAMRA data. NOTE: The data is based on Ordnance Survey mapping and the data is published under Ordnance Survey’s ‘presumption to publish’. NOTE: This page contains cultural infrastructure data collected in the spring and summer of 2022 and published in 2023. For 2019 cultural infrastructure data, please visit: https://data.london.gov.uk/dataset/cultural-infrastructure-map