Address point dataset contains all issued municipal addresses plus unit numbers where applicable - typically on townhouse developments. Street Classifications are also available in this data.

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The Address Range / Feature Name Relationship File (ADDRFN.dbf) contains a record for each address range / linear feature name relationship. The purpose of this relationship file is to identify all street names associated with each address range. An edge can have several feature names; an address range located on an edge can be associated with one or any combination of the available feature names (an address range can be linked to multiple feature names). The address range is identified by the address range identifier (ARID) attribute that can be used to link to the Address Ranges Relationship File (ADDR.dbf). The linear feature name is identified by the linear feature identifier (LINEARID) attribute that can be used to link to the Feature Names Relationship File (FEATNAMES.dbf).

This dataset is about books. It has 2 rows and is filtered where the book is 142 Strand : a radical address in Victorian London. It features 7 columns including author, publication date, language, and book publisher.

Main Topics: In addition to the name, type of business, and street address for each entry, the dataset contains the year of the listing, a mobility code' indicating presence in the previous year's directory, and a set of geographical grid coordinates accurate to 100 metres. The directories are presented in three data files. TheStreet' file, an alphabetical listing of all addresses occupied by businesses each year, gives for each address the year, street name and number, and grid location. The Business Type' file is an alphabetical listing of businesses by their descriptions. TheMaster' file duplicates data from both of the other files and also contains the name and mobility code of each business.

Central London is one of the biggest office real estate markets in Europe. After declining in 2020, the total take-up, or the volume of office real estate let, pre-let, sold, or pre-sold in Central London picked up, reaching approximately **** million square meters in 2023. This trend was observed across most of the major European markets.

showing location of all postal addresses in borough from LLPG (Local Land and Property Gazetteer)

Published annually from 1732 until 1828, Kent's Directories provide the names, descriptions, and addresses of businesses in London. This collection is a transcription of the directories beginning with the 1759 edition. In addition to the name, type of business, and street address for each entry, the datasets contain the year of the listing, a "mobility code" indicating presence in the previous year's directory, and a set of geographical grid coordinates accurate to 100 meters. The directories are presented in three data files.

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The Address Ranges Relationship File (ADDR.dbf) contains the attributes of each address range. Each address range applies to a single edge and has a unique address range identifier (ARID) value. The edge to which an address range applies can be determined by linking the address range to the All Lines Shapefile (EDGES.shp) using the permanent topological edge identifier (TLID) attribute. Multiple address ranges can apply to the same edge since an edge can have multiple address ranges. Note that the most inclusive address range associated with each side of a street edge already appears in the All Lines Shapefile (EDGES.shp). The TIGER/Line Files contain potential address ranges, not individual addresses. The term "address range" refers to the collection of all possible structure numbers from the first structure number to the last structure number and all numbers of a specified parity in between along an edge side relative to the direction in which the edge is coded. The address ranges in the TIGER/Line Files are potential ranges that include the full range of possible structure numbers even though the actual structures may not exist.

In 2023, Central London's availability of office space was over 21.6 million square feet. City and Soutbank had the most available office real estate, amounting to 13.9 million square feet.

A PDF map of the London boroughs as at December 2013. The map shows the London boroughs split into inner London and outer London. (File Size - 181 KB)

The GLA and Nesta are working together to run a pilot to demonstrate that performing data analytics on datasets sourced from multiple local authorities and public sector bodies can help reform public services in the capital. If successful, the pilot will pave the way to create a permanent London Office of Data Analytics. As well as regular blogs, we will publish reports here as they are produced over the next few months.

This file contains the ONS Postcode Directory (ONSPD) for London. The ONSPD relates both current and terminated postcodes in the United Kingdom to a range of current statutory administrative, electoral (eg Wards), health and other area geographies. It also links postcodes to pre-2002 health areas, 1991 Census enumeration districts (for England and Wales), 2001 and 2011 Census output and super output areas (LSOA and MSOA) (England and Wales).

The ONSPD is produced by ONS Geography, who provide geographic support to the Office for National Statistics (ONS) and geographic services used by other organisations. The ONSPD is issued quarterly. Please note that this product contains Royal Mail, Gridlink, Ordnance Survey and ONS Intellectual Property Rights.

The full UK dataset is available for download from the ONS GeoPortal

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The Address Ranges Relationship File (ADDR.dbf) contains the attributes of each address range. Each address range applies to a single edge and has a unique address range identifier (ARID) value. The edge to which an address range applies can be determined by linking the address range to the All Lines Shapefile (EDGES.shp) using the permanent topological edge identifier (TLID) attribute. Multiple address ranges can apply to the same edge since an edge can have multiple address ranges. Note that the most inclusive address range associated with each side of a street edge already appears in the All Lines Shapefile (EDGES.shp). The TIGER/Line Files contain potential address ranges, not individual addresses. The term "address range" refers to the collection of all possible structure numbers from the first structure number to the last structure number and all numbers of a specified parity in between along an edge side relative to the direction in which the edge is coded. The address ranges in the TIGER/Line Files are potential ranges that include the full range of possible structure numbers even though the actual structures may not exist.

Important Note The Brownfield data was handed over from LDA to the Homes and Communities Agency so that HCA could maintain it as part of the National Land Use Database (NLUD). The HCA’s online mapping site displays a points only version of NLUD from 2010 (password protected): The links to the files below will remain here as a matter of historical record. Polygons showing the boundaries of Brownfield land in London along with their addresses. This database of Brownfield land replaces in more detail and accuracy the EP National Land Use Database (NLUD) for London. The current NLUD assessment covers sites in excess of 0.25ha. This project validates, checks and updates this information for existing NLUD sites plus new sites down to a smaller threshold of 0.1 hectares and above. The Database records over 2,000 Brownfield sites across London, equivalent to more than 2% of the land in Greater London (an increase of over 1,000 sites than recorded on the previous system). The Homes and Communities Agency will use the database as their preferred platform for boroughs to record brownfield sites. The London Database uses Geographic Information Systems (GIS) mapping. It includes transport routes, deprivation, social infrastructure, as well as heritage and natural environment assets that can be overlaid over the dataset of brownfield land. Visitors to the Database website can identify sites suitable for development, and better explore and understand a site’s context. For more information visit the HCA website

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#

The vacancy rate for office real estate in the City of London amounted to *** percent in the fourth quarter of 2023, which was a slight decline from the previous quarter. Newly built office space had a notably lower vacancy rate, at *** percent. In the different districts in Central London, the vacancy rate ranged between three and ** percent.

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The All Roads Shapefile includes all features within the MTDB Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in MTDB that begins with "S". This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, stairways, and winter trails.

Explore historical ownership and registration records by performing a reverse Whois lookup for the email address london-rain.com@domainsbyproxy.com..

Visit Britain publish data relating to international visitors to the UK. They produce the data in two formats - individual spreadsheets for each region that are updated annually, and a single spreadsheet for all regions, containing less detail but updated quarterly. Data shows London totals for nights, visits, and spend. Data broken down by age, purpose, duration, mode and country. This data is also available from Visit Britain website, including the latest quarterly data for other regions. All data taken from the International Passenger Survey (IPS). Some additional data on domestic tourism can be found on the Visit Britain website, and Visit England both overnight tourism and Day visits pages. Data on accomodation occupancy levels is also available from Visit England. An overview of all tourism data for London can be found in this GLAE report 'Tourism in London' Further information can be found on the London and Partners website. Comparisons of international tourist arrivals with other world cities are produced by Euromonitor and in Mastercard's Global Destination Cities Index of 2012, 2013, 2014, and 2015. This dataset is included in the Greater London Authority's Night Time Observatory. Click here to find out more.