The London Data Center Market is Segmented by DC Size (Small, Medium, Large, Massive, Mega), Tier Type (Tier 1&2, Tier 3, Tier 4), Absorption (Utilized (Colocation Type (Retail, Wholesale, Hyperscale), End User ( Cloud & IT, Telecom, Media & Entertainment, Government, BFSI, Manufacturing, E-Commerce)), and Non-Utilized). The Market Sizes and Forecasts are Provided in Terms of Volume (MW) for all the Above Segments.

The five largest residential schemes approved in the stated month based on proposed residential units.

This is a list of the five largest planning permissions in terms of proposed residential units granted during the stated month, including renewal of previously approved schemes and details permissions for major schemes previously approved in outline.

This is based on the entries to the London Development Database submitted by the London Boroughs. Note that the London Boroughs are responsible for the quality of the data.

Borough data is not always submitted on time so the schemes shown are subject to change as the data are checked and missing permissions are added.

The CSV file is automatically updated on the 1st day of every month.

This is a copy of the final 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

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

This record is maintained in the National Geologic Map Database (NGMDB). The NGMDB is a Congressionally mandated national archive of geoscience maps, reports, and stratigraphic information, developed according to standards defined by the cooperators, i.e., the USGS and the Association of American State Geologists (AASG). Included in this system is a comprehensive set of publication citations, stratigraphic nomenclature, downloadable content, unpublished source information, and guidance on standards development. The NGMDB contains information on more than 90,000 maps and related geoscience reports published from the early 1800s to the present day, by more than 630 agencies, universities, associations, and private companies. For more information, please see http://ngmdb.usgs.gov/.

A list of businesses located in London showing a range of information including company name, address, postcode, local authority, and SIC code (industry).

The Free Company Data Product is a downloadable data snapshot containing basic company data of live companies on the register. The version available from Companies House has all UK business and is available to download in a series of Zip folders.

The London cut available to download here, was created using a postcode list. Therefore, if there is an error in the postcode, or some other problem caused the postcode listed not to match a London postcode, those business will not be included in the file. Furthermore, inaccuracies in postcodes may mean that no local authority is listed for a company.

Each entry represents a financial accounts submission of either a whole company or part of one. Some businesses have more than one entry in the directory because they need to submit more than one set of accounts for different parts of their business. Therefore, the number of entries in the directory will be greater than the number of businesses.

Note, Large file size - the Excel file is around 1 million rows. It loads in Excel 2010.

Companies House update the latest snapshot within 5 working days of the previous month end. The London file available here was published on 1 January 2015.

United Kingdom New Orders: Val: London: CT: NW: Infrastructure data was reported at 27.000 GBP mn in Jun 2018. This records a decrease from the previous number of 121.000 GBP mn for Mar 2018. United Kingdom New Orders: Val: London: CT: NW: Infrastructure data is updated quarterly, averaging 191.500 GBP mn from Mar 1985 (Median) to Jun 2018, with 134 observations. The data reached an all-time high of 3,691.000 GBP mn in Sep 2017 and a record low of 27.000 GBP mn in Jun 2018. United Kingdom New Orders: Val: London: CT: NW: Infrastructure data remains active status in CEIC and is reported by Office for National Statistics. The data is categorized under Global Database’s United Kingdom – Table UK.EA005: New Construction Order: Value: By Region.

The dataset consists of tree records in London collated by GiGL from multiple habitat surveys commissioned by the London Ecology Unit and Greater London Authority from the mid-80s to present and by the Borough for the tree records in Wandsworth. Records were collected through habitat surveys, mostly from borough-wide surveys but some from individual site surveys. The dataset has been created by Greenspace Information for Greater London CIC (GiGL). GiGL mobilises, curates and shares data that underpin our knowledge of London’s natural environment. We provide impartial evidence to enable informed discussion and decision-making in policy and practice. Please acknowledge GiGL in any use of the data e.g. “Greenspace Information for Greater London CIC (2018). http://www.gigl.org.uk/. Accessed: [Download date].” The records range from 1983-2009. The majority of records have a full date (DD/MM/YYYY), however, a small number of records are recorded to season or month and year. Tree records from the following genera are included in this dataset: Abelia, Abies, Acacia, Acca, Acer, Aesculus, Ailanthus, Albizia, Alnus, Amelanchier, Aralia, Araucaria, Arbutus, Betula, Broussonetia, Carpobrotus, Carya, Castanea, Catalpa, Cedrus, Celtis, Cercidiphyllum, Cercis, Chamaecyparis, Chitalpa, Cornus, Corylus, Crataegus, Cryptomeria, Cunninghamia, Cupressus, Diospyros, Eucalyptus, Euonymus, Fagus, Ficus, Fraxinus, Ginkgo, Gleditsia, Hibiscus, Hippophae, Ilex, Juglans, Juniperus, Koelreuteria, Laburnum, Lagerstroemia, Larix, Ligustrum, Liquidambar, Liriodendron, Magnolia, Malus, Mespilus, Metasequoia, Morus, Nothofagus, Nyssa, Osmanthus, Ostrya, Parrotia, Photinia, Picea, Pinus, Platanus, Podocarpus, Populus, Prunus, Pseudolarix, Pseudotsuga, Pyrus, Quercus, Robinia, Salix, Sequoia, Sequoiadendron, Sophora, Sorbus, Stewartia, Styrax, Syringa, Tamarix, Taxus, Thuja, Tilia, Torreya, Trachycarpus, Tsuga, Ulmus, Zea, Zelkova, Ziziphus.

The Zip folder contains a range of key GIS boundary files for ESRI and Map Info covering Greater London.

The folder includes:

- Output Area (OA) 2011,

- Lower Super Output Area (LSOA) 2004 and 2011,

- Middle Super Output Area (MSOA) 2004 and 2011,

- London Wards (City of London merged into single area)

- London Boroughs

Note: The OA to MSOA boundaries have been generalised to reduce file size/loading time.

On maps created using these boundaries the copyright must be stated. This is: "Contains National Statistics data © Crown copyright and database right [2012]" and "Contains Ordnance Survey data © Crown copyright and database right [2012]"

For more information about boundary data sharing read these Terms and Conditions of Supply.

About this dataset

Context

The dataset tabulates the London population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for London. The dataset can be utilized to understand the population distribution of London by age. For example, using this dataset, we can identify the largest age group in London.

Key observations

The largest age group in London, OH was for the group of age 40 to 44 years years with a population of 838 (8.06%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in London, OH was the 80 to 84 years years with a population of 270 (2.60%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the London is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of London total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for London Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the New London population by gender and age. The dataset can be utilized to understand the gender distribution and demographics of New London.

Content

The dataset constitues the following two datasets across these two themes

• New London, NC Population Breakdown by Gender
• New London, NC Population Breakdown by Gender and Age

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Welcome to the City Data Strategy for London.

This document is built around the following vision:
We want London to have the most dynamic and productive City Data Market in the world. In our City
Data Market, the capabilities, talents and capacity of all our city data partners will impact on our huge
social, economic and service-based challenges. To make this happen, friction in the sharing and
value-driven exploitation of city data will be reduced to a minimum. City data will be recognised as
part of the capital’s infrastructure. We will use it to save money, incubate innovation and drive
economic growth. And London will achieve global renown for data impact.

We will of course use this strategy in support of City Hall initiatives like the Smart London Plan, but
we acknowledge at the outset that the Greater London Authority simply cannot deliver this strategy
on its own. Indeed, data knows no boundaries and is hard to contain, so we should not try. Our
simple aim is to make sure that London, its economy and its communities are able to derive maximum
benefit from the undoubted potential London’s Data Market can deliver.

It therefore signals the start of a plan which will actively integrate and mobilise all the ‘working parts’
of the city data economy. We want the various audiences that the Strategy is aimed at to engage with
it. We will listen and evolve the strategy as this rapidly developing part of the cityscape develops.

The LAEI 2019 is the latest version of the London Atmospheric Emissions Inventory and replaces previous versions of the inventory.

Emissions estimates of key pollutants (NOx, PM10, PM2.5 and CO2) by source type are included for the base year 2019. Emissions for previous years 2013 and 2016 have also been revised, using the latest data sources (emission factors, activity data, ...) where available, and changes in methodology where relevant.

Emissions projected forward to 2025 and 2030 will be available soon.

The area covered by the LAEI includes Greater London (the 32 London boroughs and the City of London), as well as areas outside Greater London up to the M25 motorway.

These emissions have been used to estimate ground level concentrations of key pollutants NOx, NO2, PM10 and PM2.5 across Greater London for year 2019, using an atmospheric dispersion model. Air pollutant concentration maps and associated datasets are available for download.

Due to the size of the LAEI database, datasets are provided in several parts and provided as ZIP files.

Documentation

• LAEI Summary Note (.PDF - 2.0 MB)

Supporting Information Key GIS geographies and road traffic flows and vehicle-kilometres for 2019 for each vehicle type. Data are provided in Excel and GIS formats.

• Supporting Information - GIS geographies (.ZIP - 2.5 MB)
• Supporting Information - Road Traffic Data - Excel (.ZIP - 22.4 MB)
• Supporting Information - Road Traffic Data - GIS (.ZIP - 9.7 MB)

Grid Emissions Summary This dataset includes emissions of key pollutants NOx, PM10, PM2.5and CO2, and a range of additional pollutants (SO2, CH4, VOC...) in tonnes/year for 2013, 2016 and 2019 for each source category at a 1km grid square resolution (further split to follow all London borough boundaries). It includes emission summary tables for London boroughs and London zones (Central / Inner / Outer London). Data are provided in Excel and GIS formats.

• Update 26 07 2022 : Please note that emission totals have been slightly revised to correct emissions for Rail and Construction NRMM Exhaust (for CO2) and Industrial / Commercial Heat and Power sources (for all pollutants). Please refer to the Emissions - Data - Excel File below for further information.
• Emissions - Data - Excel Files (.ZIP - 58.5 MB)
• Emissions - Data - GIS Files (.ZIP - 66.4 MB)
• Emissions - Summary Dashboards (.ZIP - 338 KB)

Detailed Road Transport Road transport NOx, PM10, PM2.5and CO2 emissions in 2019 by vehicle type. PM emissions include split by exhaust, break wear and tyre wear. This data is provided at link level for major roads. Data are provided in several GIS formats.

• Emissions - Detailed Road Transport - Major Roads - Geopackage GPKG (.ZIP - 157.4 MB)
• Emissions - Detailed Road Transport - Major Roads - Mapinfo TAB (.ZIP - 124.7 MB)
• Emissions - Detailed Road Transport - Major Roads - ESRI SHP (.ZIP - 142.3 MB)

Concentrations This dataset includes modelled 2019 ground level concentrations of annual mean NOx, NO2, PM10 and PM2.5in µg/m3 (microgramme per cubic metre) at 20m grid resolution. For PM10, it also includes the number of daily means exceeding 50 µg/m3. Data are provided in CSV, GIS (ESRI) and PDF formats.

• Concentrations - Data - ASCII Files (.ZIP - 132.2 MB)
• Concentrations - Data - Excel Files (.ZIP - 180.4 MB)
• Concentrations - Maps - PDF / Image Files (.ZIP - 31.0 MB).
• Concentrations - Data - GIS Files (.ZIP - 95.4 MB). Includes GIS files in ESRI format to visualise the concentrations in a GIS software (ArcGIS).

Population Exposure These datasets include estimations of the number of Londoners and number of schools, hospitals and care homes in London exposed to an annual average NO2 concentration above the Air Quality Strategy objective of 40µg/m3 and PM2.5 concentration above the interim WHO Guideline of 10µg/m3, based on the modelled 2019 ground level concentrations. A comparison with previous 2016 concentrations modelled for the LAEI 2016 inventory is also provided.

• NO2 Population Exposure (.XLSX - 62 KB)
• NO2 and PM2.5 School Exposure (.XLSX - 1.4 MB)
• NO2 and PM2.5 Hospital and Care Home Exposure (.XLSX - 37 KB)

Full listings of the residential units in London’s housing pipeline as at 31/03/2016 and completed between 01/04/20015 and 31/03/2016 from the London Development Database (LDD). The LDD records significant planning permissions in London. The data is entered by the London Boroughs and is checked by the GLA to ensure consistency across London. The LDD records any planning consent that permits the loss or gain of one or more residential units. This data was used to compile the housing monitor in the London Plan Annual Monitoring Report 13. it will not be updated.

Estimated traffic volume for cars and all vehicles by local authority since 1993 (kilometres).

Million Vehicle Kilometres travelled by all motor vehicles and all cars in London. Data comes from the Department for Transport (DFT) National Road Traffic Survey.

Definitions can be found at: https://www.gov.uk/government/collections/road-traffic-statistics#technical

https://www.gov.uk/government/collections/road-traffic-statistics

https://www.gov.uk/government/statistical-data-sets/tra89-traffic-by-local-authority

63 Global import shipment records of London Gateway with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

The number of permissions added to the LDD by month as an indicator of activity in the planning system. This is the number of planning permissions added to the London Development Database (LDD) by the London Boroughs on a monthly basis. The LDD holds permissions involving a loss or gain of residential units along with large non-residential schemes that propose either 1,000m2 of floorspace in any one use class or 7 bedrooms or more for hotels and care homes. This takes no account of the size of the permissions. Not all of these permissions represent a new scheme as they may be a revision to, or renewal of, a previously approved project. Borough data is not always submitted on time so the totals shown are subject to change as the data are checked and missing permissions are added. The CSV file is automatically updated on the 1st day of every month. Open an interactive map of all LDD permissions data.

The number of residential units, net of losses, approved by month.

This is the sum of residential units approved minus the units lost from planning permissions granted during the given month, as entered onto the London Development Database (LDD).

The figures include all submitted schemes, including those that replace earlier permissions on the same site or add details to previous outline permissions.

For this reason the monthly totals are comparable but the numbers can not be added to get a running total. Note that data is provided by the London Boroughs who are responsible for the quality of the data.

Borough data is not always submitted on time so the totals shown are subject to change as the data are checked and missing permissions are added.

The CSV file is automatically updated on the 1st day of every month.

Open an interactive map of all LDD permissions data.

United States Pending Sales: Townhouse: London, KY data was reported at 0.000 Unit in Feb 2020. This stayed constant from the previous number of 0.000 Unit for Jan 2020. United States Pending Sales: Townhouse: London, KY data is updated monthly, averaging 0.000 Unit from Jun 2012 (Median) to Feb 2020, with 6 observations. The data reached an all-time high of 1.000 Unit in May 2019 and a record low of 0.000 Unit in Feb 2020. United States Pending Sales: Townhouse: London, KY data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB046: Pending Home Sales: by Metropolitan Areas.

London remained Europe's largest data center market in 2024, with total inventory in the British capital surpassing 1,000 megawatts as of the fourth quarter of the year. Frankfurt was the second-largest market, followed by Amsterdam.

Data and figures from the Census Information Scheme briefing on NS-SEC in London (CIS2013-05).