This dataset is a general representation of parcel mapping used by the City of London. The mapping is derived from assessment and ownership data but is not sanctioned by either MPAC or Teranet. The geospatial accuracy is not to be relied upon and must not be used for building permit applcaitions, engineering designs, detailed planning, development or property use. Use at own risk.

Mapping data is divided into 5 directories: 1. ASSESSP 2006: assessed Parcel/Property mapping Arcview 2. CityMap 2006: double line street map, autocad 3. Ortho 2006: Orthoimagery SID world file 4. Single line 2006: street map Arcview SHP format 5. Topo 2006: 1:2000 topographic mapping in themed categories. Arcview SHP format

Available on CD Rom through the Map and Data Library. CD #252.

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):

<https://signet.hca-online.org.uk/live/custom/login/SIGnet.aspx>

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

London Heat Map --------------- The London Heat Map is a tool designed to help you identify areas of high heat demand, explore opportunities for new and expanding district heat networks and to draw potential heat networks and assess their financial feasibility. The new version of the London Heat Map was created for the Greater London Authority by the Centre for Sustainable Energy (CSE) in July 2019. The London Heat Map is regularly updated with new network data and other datasets. Background datasets such as building heat demand was last updated on 26/06/2023. The London Heatmap is a map-based web application you can use to find and appraise opportunities for decentralised energy (DE) projects in London. The map covers the whole of Greater London, and provides very local information to help you identify and develop DE opportunities, including data such as: * Heat demand values for each building * Locations of potential heat supply sites * Locations of existing and proposed district heating networks * A spatial heat demand density map layer The map also includes a user-friendly visual tool for heat network design. This is intended to support preliminary techno-economic appraisal of potential district heat networks. The London Heat Map is used by a wide variety of people in numerous ways: * London Boroughs can use the new map to help develop their energy master plans. * Property developers can use the map to help them meet the decentralised energy policies in the London Plan. * Energy consultants can use the map to gather initial data to inform feasibility studies. More information is available here, and an interactive map is available here. Building-level estimated annual and peak heat demand data from the London Heat Map has been made available through the data extracts below. The data was last updated on 26/06/2023. The data contains Ordnance Survey mapping and the data is published under Ordnance Survey's 'presumption to publish'. © Crown copyright and database rights 2023. The Decentralised Energy Master planning programme (DEMaP) ---------------------------------------------------------- The Decentralised Energy Master planning programme (DEMaP), was completed in October 2010. It included a heat mapping support package for the London boroughs to enable them to carry out high resolution heat mapping for their area. To date, heat maps have been produced for 29 London boroughs with the remaining four boroughs carrying out their own data collection. All of the data collected through this process is provided below. ### Carbon Calculator Tool Arup have produced a Carbon Calculator Tool to assist projects in their early estimation of the carbon dioxide (CO2) savings which could be realised by a district heating scheme with different sources of heating. The calculator's estimates include the impact of a decarbonising the electrical grid over time, based on projections by the Department for Energy and Climate Change, as well as the Government's Standard Assessment Procedure (SAP). The Excel-based tool can be downloaded below. ### Borough Heat Maps Data and Reports (2012) In March 2012, all London boroughs did a heat mapping exercise. The data from this includes the following and can be downloaded below: * Heat Load for all boroughs * Heat Supplies for all boroughs * Heat Network * LDD 2010 database * Complete GIS London Heat Map Data The heat maps contain real heat consumption data for priority buildings such as hospitals, leisure centres and local authority buildings. As part of this work, each of the boroughs developed implementation plans to help them take the DE opportunities identified to the next stages. The implementation plans include barriers and opportunities, actions to be taken by the council, key dates, personnel responsible. These can be downloaded below. Other Useful Documents ---------------------- Other useful documents can be downloaded from the links below: Energy Masterplanning Manual Opportunities for Decentralised Energy in London - Vision Map London Heat Network Manual London Heat Network Manual II

showing location of sites whose previous uses could have caused the land to be contaminated

Digital Mapping CD DWG/Shape files. Double & single line street map of city of London, [parcel/property map shapeformat, orthoimagery city of London 2005-20101:2000 topographic mapping.

Available on CD Rom from the Map and Data Library. Year 2005 CD #226. Year 2006 CD #252. Year 2007 CD #313. Year 2008 CD #326. Year 2009 CD #360. Year 2010 CD #404. Year 2011 CD #419. Year 2012 CD #436.

The London Building Stock Model v2 provides energy efficiency data for all London homes. This includes information on EPC ratings, heating systems, insulation levels and building fabric.

This dataset represents an update of the original London Building Stock Model, and it brings together data from Energy Performance Certificates (EPCs), alongside data from other sources such as the London borough councils and the GLA. For properties that don't have data from an EPC or an alternative source, we’ve generated modelled values for these properties through machine learning. For more information on our methodology, please see this blog post.

An interactive map for this data is available here. The data from the London Building Stock Model interactive map has been made available through the data extracts below.

The current version of the London Building Stock Model v2 is based on data from October 2024.

The data contains Ordnance Survey mapping and the data is published under Ordnance Survey's 'presumption to publish'. © Crown copyright and database rights 2023

The Mayor is committed to cutting fuel poverty and increasing the energy efficiency of buildings across London. To help target where action is most needed, the Mayor has developed a London Building Stock Model with the UCL Energy Institute. The London Building Stock Model is a database of all the energy and carbon data collected through the Mayor’s energy programmes and policies. It provides a snapshot of all London’s buildings (both domestic and non-domestic) with information on their energy performance certificates as of 2017.

More information is available here, and an interactive map is available here.

Most of the data from the London Building Stock Model interactive map has been made available through the data extracts below. Please note that the data extracts are based on Ordnance Survey's list of London properties as of 2023. However, as the London Building Stock Model data is from 2017, some of the properties might not have any London Building Stock Model data attached to them.

The data contains Ordnance Survey mapping and the data is published under Ordnance Survey's 'presumption to publish'. © Crown copyright and database rights 2023

These National Statistics provide monthly estimates of the number of residential and non-residential property transactions in the UK and its constituent countries. National Statistics are accredited official statistics.

England and Northern Ireland statistics are based on information submitted to the HM Revenue and Customs (HMRC) Stamp Duty Land Tax (SDLT) database by taxpayers on SDLT returns.

Land and Buildings Transaction Tax (LBTT) replaced SDLT in Scotland from 1 April 2015 and this data is provided to HMRC by https://www.revenue.scot/" class="govuk-link">Revenue Scotland to continue the time series.

Land Transaction Tax (LTT) replaced SDLT in Wales from 1 April 2018. To continue the time series, the https://gov.wales/welsh-revenue-authority" class="govuk-link">Welsh Revenue Authority (WRA) have provided HMRC with a monthly data feed of LTT transactions since July 2021.

LTT figures for the latest month are estimated using a grossing factor based on data for the most recent and complete financial year. Until June 2021, LTT transactions for the latest month were estimated by HMRC based upon year on year growth in line with other UK nations.

LTT transactions up to the penultimate month are aligned with LTT statistics.

Go to Stamp Duty Land Tax guidance for the latest rates and information.

Go to Stamp Duty Land Tax rates from 1 December 2003 to 22 September 2022 and Stamp Duty: rates on land transfers before December 2003 for historic rates.

The latest release was published 09:30 27 June 2025 and was updated with provisional data from completed transactions during May 2025.

The next release will be published 09:30 31 July 2025 and will be updated with provisional data from completed transactions during June 2025.

https://webarchive.nationalarchives.gov.uk/ukgwa/20240320184933/https://www.gov.uk/government/statistics/monthly-property-transactions-completed-in-the-uk-with-value-40000-or-above" class="govuk-link">Archive versions of the Monthly property transactions completed in the UK with value of £40,000 or above are available via the UK Government Web Archive, from the National Archives.

Multimodal MRI protocols for COVID-related neuroimaging with Siemens and GE 3T scanners.

Geneva stands out as Europe's most expensive city for apartment purchases in early 2025, with prices reaching a staggering 15,720 euros per square meter. This Swiss city's real estate market dwarfs even high-cost locations like Zurich and London, highlighting the extreme disparities in housing affordability across the continent. The stark contrast between Geneva and more affordable cities like Nantes, France, where the price was 3,700 euros per square meter, underscores the complex factors influencing urban property markets in Europe. Rental market dynamics and affordability challenges While purchase prices vary widely, rental markets across Europe also show significant differences. London maintained its position as the continent's priciest city for apartment rentals in 2023, with the average monthly costs for a rental apartment amounting to 36.1 euros per square meter. This figure is double the rent in Lisbon, Portugal or Madrid, Spain, and substantially higher than in other major capitals like Paris and Berlin. The disparity in rental costs reflects broader economic trends, housing policies, and the intricate balance of supply and demand in urban centers. Economic factors influencing housing costs The European housing market is influenced by various economic factors, including inflation and energy costs. As of April 2025, the European Union's inflation rate stood at 2.4 percent, with significant variations among member states. Romania experienced the highest inflation at 4.9 percent, while France and Cyprus maintained lower rates. These economic pressures, coupled with rising energy costs, contribute to the overall cost of living and housing affordability across Europe. The volatility in electricity prices, particularly in countries like Italy where rates are projected to reach 153.83 euros per megawatt hour by February 2025, further impacts housing-related expenses for both homeowners and renters.

The London Building Stock Model v2 provides energy efficiency data for all London homes. This includes information on EPC ratings, heating systems, insulation levels and building fabric. This dataset represents an update of the original London Building Stock Model, and it brings together data from Energy Performance Certificates (EPCs), alongside data from other sources such as the London borough councils and the GLA. For properties that don't have data from an EPC or an alternative source, we’ve generated modelled values for these properties through machine learning. For more information on our methodology, please see this blog post. An interactive map for this data is available here. The data from the London Building Stock Model interactive map has been made available through the data extracts below. The current version of the London Building Stock Model v2 is based on data from October 2024. The data contains Ordnance Survey mapping and the data is published under Ordnance Survey's 'presumption to publish'. © Crown copyright and database rights 2023

The highest rental yield in the UK property market in the first quarter of 2024 was in the North East region, amounting to **** percent. Conversely, private rental homes in London had the lowest average gross yield, at **** percent. Rental yield is a measure of profitability and shows the annual rental income as a share of the property price. Although higher yields imply a higher annual return, they do not take into consideration the rental growth and house price appreciation potential of the property.

Surficial Aquifer Texture Map was prepared from the Surficial Materials Map of Connecticut (Stone, J.R., Schafer, J.P., London, E.H. and Thompson, W.B., 1992, U.S. Geological Survey special map, 2 sheets, scale 1:125,000) to describe unconsolidated areas of the subsurface with similar properties relative to ground water flow. Surficial aquifers are unconsolidated geologic deposits capable of yielding a sufficient quantity of groundwater to wells. Surficial aquifer textures were identified from original surficial materials mapping for use in ground water applications. These are qualitative interpretations of material properties relative to ground water flow. Surficial aquifer texture groups were identified to represent aquifer textures with similar hydraulic conductivities. Some interpretations were made beneath postglacial alluvium and swamp deposits. Alluvium without a subsurface interpretation was classified as having similar hydrologic properties as till. Alluvium areas with subsurface interpretations of fines or coarse grained deposits were classified as having the hydrologic characteristics of the underlying deposits. The aquifer textures include areas of till, fine grained, fine overlying coarse grained, coarse grained, coarse overlying fine grained deposits, artificial fill, beach, salt marsh, swamp, and water. Aquifer texture groups include areas of fine grained , fine overlying coarse grained, coarse grained, and coarse overlying fine grained deposits. Surficial materials not included in the surficial aquifer texture groups include till, artificial fill, beach, salt marsh, swamp, and water. All textural terms follow the grain size classification of Stone et al 1992, modified from Wentworth, 1922. The surficial aquifer texture classifications are suitable for use at 1:24,000 scale. Original mapping of the Surficial Materials Map of Connecticut is preserved as polygon attribute values in this data layer, and is herein described. The Surficial Materials Map of Connecticut portrays the glacial and postglacial deposits of Connecticut in terms of their aerial extent and subsurface textural relationships. Glacial Ice-Laid Deposits (thin till, thick till, end moraine deposits) and Postglacial Deposits (alluvium, swamp deposits, marsh deposits, beach deposits, talus, and artificial fill) are differentiated from Glacial Meltwater Deposits. The meltwater deposits are further characterized using four texturally-based map units (g = gravel, sg = sand and gravel, s = sand, and f = fines). In many places a single map unit (e.g. sand) is sufficient to describe the entire meltwater section. Where more complex stratigraphic relationships exist, "stacked" map units are used to characterize the subsurface (e.g. sg/s/f - sand and gravel overlying sand overlying fines). Where postglacial deposits overlie meltwater deposits, this relationship is also described (e.g. alluvium overlying sand). Map unit definitions (Surficial Materials Polygon Code definitions, found in the metadata) provide a short description of the inferred depositional environment for each of the glacial meltwater map units. This map was compiled at 1:24,000 scale, and published at 1:125,000 scale. Connecticut Surficial Materials is a 1:24,000-scale, polygon and line feature-based layer describing the unconsolidated glacial and postglacial deposits of Connecticut in terms of their grain-size distribution (texture) as compiled at 1:24,000 scale for the Surficial Materials Map of Connecticut. Glacial meltwater deposits (stratified deposits) are particularly emphasized because these sediments are the major groundwater aquifers in the State and are also the major source of construction aggregate. These deposits are described in terms of their subsurface distribution of textures as well as their extent. The texture of meltwater deposits through their total vertical thickness in the subsurface is shown to the extent that it is known or can be inferred. In some places o

The United Kingdom (UK) is the most expensive European country for annual costs of prime industrial rent. The annual rent for industrial space in London Heathrow in the first quarter of 2025 cost ***** euros per square meter. Switzerland, Norway, Ireland, Finland, and Luxembourg were the other European countries where the average annual cost of industrial prime rents in the capital city exceeded *********** euros per square meter.

Highway Authority Subway forms part of the Public Access Map. This includes: • City Walkways and Proposed City Walkways • Permissive Paths • Highway Maintainable at Public Expense • Privately Maintainable Highway • Special Act Land • Statutory Open Spaces • Highway Subway • Permissive Subway The map showing highway status is provided after appropriate enquiry and in the belief that it represents the information at present available to the Corporation but on the distinct understanding that neither the Corporation nor any council officer is legally responsible for the reply, except for negligence. The plan should not be taken to imply that the boundary of the property directly abuts the public highway. Highway Authority Subway: Subway under the Highway (i.e. the City of London Corporation).

Median price paid for residential property in England and Wales by property type and electoral ward. Annual data.

Housing Index in the United Kingdom decreased to 511.60 points in June from 511.80 points in May of 2025. This dataset provides - United Kingdom House Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.