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GiGL Open Space Friends Group subset
Greenspace Information for Greater London CIC (GiGL)Introduction The GiGL Open Space Friends Group subset provides locations and boundaries for selected open space sites in Greater London. The chosen sites represent sites that have established Friends Groups in Greater London and are therefore important to local communities, even if they may not be accessible open spaces, or don’t typically function as destinations for leisure, activities and community engagement*. Friends Groups are gr... - Updated 2 months ago
GiGL Spaces to Visit
Greenspace Information for Greater London CIC (GiGL)Introduction The GiGL Spaces to Visit dataset provides locations and boundaries for open space sites in Greater London that are available to the public as destinations for leisure, activities and community engagement. It includes green corridors that provide opportunities for walking and cycling. The dataset has been created by Greenspace Information for Greater London CIC (GiGL). As London’s Environmental Records Centre, GiGL mobil... - Updated 6 months ago
Cultural Infrastructure Map 2023
Greater London Authority (GLA)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... - Updated 10 months ago
London output area classification
Census Information SchemeThe page gives access to the 2021 London Output Area Classification (2021 LOAC), a new free and open source geodemographic classification for London. Based on 2021 census data it uses nearly 70 measures to classify each of more than 26,000 output areas in London within a hierarchical structure. Here we present a lookup table of the LOAC, descriptions of the 7 supergroups and 16 groups, and profiles of each borough. - Updated a year ago
Assessment of Local Risks supporting the London Safety Plan 2017
London Fire BrigadeThis page is about the Assessment of Local Risks (AoLR) which supported the Brigade's London Safety Plan 2017 (LSP2017). This 2017 plan has now been replaced by the Brigade's new Community Risk Management Plan (CRMP) - Your London Fire Brigade: our plan for 2023-29. This new plan, plus the Assessment of Risk which supports, it are available on the LFB website here. The 2017 Assessment of Local Risk was a public facing document, designed... - Created a year ago
Comparison of available population estimates
Greater London Authority (GLA)At the April 2023 meeting of the Population Statistics User Group, the GLA Demography team presented an overview of currently available sources of population estimates for the previous decade, namely: The original ONS mid-year population estimates (including rolled-forward estimates for 2021) Experimental outputs from the ONS's Dynamic Population Model The modelled population backseries produced by the GLA to act as inputs to our 2021... - Updated 4 years ago
Indices of Deprivation
Ministry of Housing, Communities & Local Government (MHCLG)This page contains all the English Indices of Deprivation (ID) data for London at LSOA and borough level for the latest release (ID2019) as published by central government back to 2010. Also posted here are some ward level summary data for London for the latest release (ID2019) and from 2007.Accompanying notes are included in the files. Please take the time to read these as they explain what is included on each sheet. The London data fi... - Updated 5 years ago
Curio Canopy - London Tree Canopy Cover
Breadboard LabsA high resolution map of tree canopy cover for Greater London was produced from aerial imagery using machine learning techniques. The map was produced by Breadboard Labs in collaboration with the Greater London Authority as part of a Breadboard Lab’s European Space Agency funded project, Curio Canopy . The algorithms and machine learning based techniques used to produce the canopy map were developed using Google Earth Engine which ...