Ordnance Survey ® OpenMap - Local Buildings are polygon features that represent a built entity that includes a roof. This is a generalized building and could be made up of an amalgamation of other buildings and structures.Ordnance Survey ® OpenMap - Local Important Buildings are polygon features that represent buildings that fall within the extent of a functional site across England, Wales and Scotland. Important Buildings are classified into a number of building themes such as: Attraction and Leisure - A feature that provides non-sporting leisure activities for the public. Includes Tourist Attractions.Air Transport - This theme includes all sites associated with movement of passengers and goods by air, or where aircraft take off and land. Includes Airport, Helicopter Station, Heliport.Cultural Facility - A feature that is deemed to be of particular interest to society. Includes Museum, Library, Art Gallery.Education facility - This theme includes a very broad group of sites with a common high level primary function of providing education (either state funded or by fees). Includes: Primary Education, Secondary Education, Higher or University Education, Further Education, Non State Secondary Education, Non State Primary Education, Special Needs Education.Emergency Services - Emergency services are organizations which ensure public safety and health by addressing different emergencies. Includes: Fire Station, Police Station.Medical Facility - This theme includes sites which focus on the provision of secondary medical care services. Includes: Medical Care Accommodation, Hospital, Hospice.Religious Building - A place where members of a religious group congregate for worship. Includes: Places of Worship (churches etc.)Retail - A feature that sells to the general public finished goods. Includes: Post OfficeRoad Transport - This theme includes: Bus Stations, Coach Stations, Road user services.Sports and Leisure Facility - A feature where many different sports can be played. Includes: Sports and Leisure CentreWater Transport - This theme includes sites involved in the transfer of passengers and or goods onto vessels for transport across water. Includes: Port consisting of Docks and Nautical Berthing, Vehicular Ferry Terminal, Passenger Ferry Terminal. With OS OpenMap - Local Buildings and Important Buildings you can: Understand your area in detail, including the location of key sites such as schools and hospitals.Share high-quality maps of development proposals to help interested parties to understand their extent and impact.Analyse data in relation to important public buildings, roads, railways, lines and more.Use in conjunction with other layers such as Functional Sites – an area or extent which represents a certain type of function or activity.Present accurate information consistently with other available open data products. For more information on OS OpenMap see their website: https://www.ordnancesurvey.co.uk/products/os-open-map-local The currency of the data is 10/2025

The most detailed open data mapping product available, providing a backdrop for integrating and visualising analytical datasets. The product provides an enhanced level of detail for buildings - including the specific identification of functional sites such as hospitals and schools, and an extensive set of cartographic names optimised for digital styling and presentation.

Keywords: Buildings, Rivers, OSVectorMapLocalColourRaster, OSVectorMapLocalBackdropColourRaster, OSVectorMapLocalBlackAndWhiteRaster OS VectorMap Raster is a GeoTiff, pre-styled version of the OS VectorMap Local vector dataset at a nominal scale of 1:10000 covering the whole of Great Britain that has been designed for creating graphical mapping. The product can be used as mapping in its own right or can be used to provide a flexible geographic context reference for customers’ overlay information. It is available in three styles: * Colour * Backdrop Colour * Black and White The main characteristics of the dataset is representation of real world features (e.g. roads, railways, buildings, vegetation, boundaries and urban extents) as points, lines, polygons, and text.

OS MasterMap Topography Layer – Building Height Attribute shows building height properties to help manage assets, plan works and visualise urban density. Building Height Attribute is an enhancement to, and forms part of, OS MasterMap Topography Layer. It provides a set of height attributes with a buildings theme within OS MasterMap Topography Layer. It has further been enhanced with the inclusion of tanks, chimney stacks and glasshouses. The product has been developed in response to customer demand for height information for buildings and select structures. It can be used to make simple 3D visualisations of buildings and structures and can be used to assist a range of analytical applications across both public and commercial sectors. Building Height Attribute can be used to enhance the information obtained from OS MasterMap Topography Layer in a range of applications. It can also be integrated with other Ordnance Survey products such as OS Terrain® 5 andOS MasterMap Imagery Layer.

Ordnance Survey ® OpenMap - Local Functional Sites are polygon features that represent the area or extent of certain types of function or activity across England, Wales and Scotland. Functional Sites are classified into five main themes:Air Transport - This theme includes all sites associated with movement of passengers and goods by air, or where aircraft take off and land. Includes: Airfield, Airport, Helicopter Station, Heliport.Education - This theme includes a very broad group of sites with a common high-level primary function of providing education (either state funded or by fees). Includes: Primary Education, Secondary Education, Special Needs Education, Non State Primary Education, Further Education, Higher or University Education, Non State Secondary EducationMedical Care - This theme includes sites which focus on the provision of secondary medical care services. Includes: Medical Care Accommodation, Hospital, HospiceRoad Transport - This theme includes: Bus Stations, Coach Stations, Road user services. Water Transport - This theme includes sites involved in the transfer of passengers and or goods onto vessels for transport across water. Includes: Port consisting of Docks and Nautical Berthing, Vehicular Ferry Terminal, Passenger Ferry Terminal. With OS OpenMap - Local Functional Sites you can:Understand your area in detail, including the location of key sites such as schools and hospitals.Share high-quality maps of development proposals to help interested parties to understand their extent and impact.Analyse data in relation to important public buildings, roads, railways, lines and more.Use in conjunction with other layers such as Important Buildings - buildings that fall within the extent of a Functional Site.Present accurate information consistently with other available open data products. The currency of the data is 10/2025

Waverley Borough Council current planning applications and all applications decided within the last 100 days. When presented with the web page please click FILE/SAVE AS and when prompted save the page as filename.CSV This will provide you with a neatly formatted CSV file which can be opened in a spreadsheet package such as Excel or Libre Office Calc.

Released as part of the LGA Open Data Incentive Scheme. A full dataset version including the Geox, GeoY and UPRN derived from Ordnance Survey data can only be released for using the data to respond to, or interact with the Licensor to deliver or support the delivery of the Licensor’s Core Business due to OS licensing restrictions under a PSMA end user licence http://www.ordnancesurvey.co.uk/business-and-government/help-and-support/public-sector/guidance/licences.html

If you wish to use this data for any other purpose other than supporting the delivery of the Licensor’s Core Business, then you should contact Ordnance Survey via https://www.ordnancesurvey.co.uk/contact/ or telephone 03456 05 05 05 to discuss how they can help you with your requirements.

OS VectorMap Local is a simple vector dataset at a nominal scale of 1:10000 covering the whole of Great Britain that has been designed for creating graphical mapping. The product can be used as mapping in its own right or can be used to provide a flexible geographic context reference for customers’ overlay information.

As well as the vector dataset, a number of output styles are suggested. The main characteristics of the dataset is representation of real world features (e.g. roads, railways, buildings, vegetation, boundaries and urban extents) as points, lines, polygons, and text.

This dataset is a single large shapefile of the buildings in southeast England. You can use it to make gorgeous maps or join it with other datasets for some really nice visualizations.

Acknowledgements

This dataset was kindly made available by Alasdair Rae, with the underlying raw data from the British Ordnance Survey. You can find the original shapefiles here, plus shapefiles for the rest of the UK.

This dataset contains a sample of 10,000 (3.5%) out of a total of 285,846 text sequences extracted from the 1891–1896 Map of London by the Ordnance Survey (OS).

The methodology used for the automated recognition, linking, and sequencing of the text is detailed in the article Recognizing and Sequencing Multi-word Texts in Maps Using an Attentive Pointer by M. Zou et al., 2025.

Description of the content

The map is drawn at a scale of five-feet to the mile (c.a. 1:1,056). The text on the map is an invaluable source of information about the Greater London in the late Victorian period. It includes the names of streets, squares, parks, watercourses and even some estates ('Poplars', 'The Grange', 'Arbutus Lodge'). In addition, the map contains many details of the function of buildings and economic activity, such as factories ('Sweet Factory', 'Crown Linoleum Works', 'Imperial Flour Mills', 'Lion Brewery'), warehouses or commercial infrastructure ('Warehouse', 'Jamaica Wharf', 'Rag Store'), offices ('Offices'), etc. The map also mentions public buildings such as schools ('School Boys, Girls & Infants', 'Sunday School'), hospitals or clinics ('St. Saviour's Union Infirmary', 'Beulah Spa Hydropathic Establishment', 'South Western Fever Hospital'), railway stations ('Clapham Station'), post offices, banks, police stations, etc. Other social venues are also mentioned, such as public houses, i.e. pubs ('P.H.'), clubs, casinos, and recreational areas (e.g. 'Cricket Ground'). Special attention is given to churches, with a regular count of the number of seats (e.g. 'Baptist Chapel Seats for 600').

In addition, the map provides details that can be of great interest in the study of everyday life in London at the end of the 19th century. For example, there are numerous mentions of 'Stables', 'Drinking Fountain's or 'Urinal'[s]. Fire protection infrastructure is highlighted, e.g. fire plugs ('F.P.') and fire alarms ('F.A.'). The map also includes information on elevation (e.g. '11·6') and flood levels (e.g. 'High Water Mark of Ordinary Tides').

A list of abbreviations used in the Ordnance Survey maps, created by Richard Oliver [1], is made available by the National Library of Scotland (link).

Organization of the data

The data in 10k_text_london_OS_1890s.geojson is organized as a regular geojson file.

Example structure

{ "type": "FeatureCollection", "features": [ { "type": "Feature", "geometry": { "type": "MultiPolygon", "coordinates": [[[ [x1, y1], [x2, y2], ...]]] }, "properties": { "label": "Oxford Circus", } },

... # Further text sequences            

] }

Image documents

The original map document consists of 729 separate sheets, digitized, georeferenced, and served as geographic tiles by the National Library of Scotland [2].

Descriptive statistics

Total Number of text sequences: 285,846Sample size: 10,000Total Area covered: 450 square km

Use and Citation

For any mention of this dataset, please cite :

@misc{text_london_OS_1890s, author = {Zou, Mengjie and Petitpierre, R{\'{e}}mi and di Lenardo, Isabella}, title = {{London 1890s Ordnance Survey Text Layer}}, year = {2025}, publisher = {Zenodo}, url = {https://doi.org/10.5281/zenodo.14982946}}@article{recognizing_sequencing_2025, author = {Zou, Mengjie and Dai, Tianhao and Petitpierre, R{\'{e}}mi and Vaienti, Beatrice and di Lenardo, Isabella}, title = {{Recognizing and Sequencing Multi-word Texts in Maps Using an Attentive Pointer}}, year = {2025}}

Corresponding author

Rémi PETITPIERRE - remi.petitpierre@epfl.ch - ORCID - Github - Scholar - ResearchGate

License

This project is licensed under the CC BY 4.0 License.

Liability

We do not assume any liability for the use of this dataset.

References

Oliver R. (2013). Ordnance Survey maps: A concise guide for historians. The Charles Close Society. London, UK. 3rd Ed. 320 pages

Ordnance Survey, London, five feet to the mile, 1893-1896 (1896), https://maps.nls.uk/os/townplans-england/london-1056-1890s.html, digitized by the National Library of Scotland (NLS)

This dataset contains records of all assets (land and/or buildings) that Lincolnshire County Council has an interest in - whether it be fully owned (freehold), fully leased or partially leased. The dataset also indicates the use of the site, which committee manages the site, and its size and geographic location. It also shows whether the site has restrictions against it due to being in a conservation area or having Listed Building status. The dataset is updated annually each January. You can freely re-use this data for any purpose. Please attribute as: Contains public sector information licensed from Lincolnshire County Council under the Open Government Licence v3.0. These copyright statements must be shown: Contains OS data © Crown copyright and database right [year]. Contains Royal Mail data © Royal Mail copyright and database right [year]. Contains National Statistics data © Crown copyright and database right [year].

Benefits and key featuresUnderstand your area in detail, including the location of key sites such as schools and hospitals.Share high-quality maps of development proposals to help interested parties to understand their extent and impact.Analyse data in relation to important public buildings, roads, railways, lines and more.Present accurate information consistently with other available open data products.

Record lots are defined by the Department of Buildings (DOB) – Office of the Surveyor (OS) - DC Surveyor. They are official, platted, recorded subdivision lots created by the D.C Surveyor’s Office in compliance with the Subdivision Ordinance of the District of Columbia (must have public street frontage etc). Typically, these lots are numbered 1 through 799 with no number being used more than once in a Square. Exceptions to this rule:When the 1-799 range has been exhausted within a square, the Surveyor’s Office assigns numbers from 1200 or may even use 8000 and aboveFor reasons unknown, 42 Squares have record lot numbers greater than 799 but less than 1200Additionally, in most case scenario’s, a piece of property must be a Record Lot before a building permit will be issued for that site in the District of Columbia, and all proposed Record Lots are carefully reviewed by Zoning Administration officials for compliance with the city’s Zoning Ordinances. Other agencies that review new record lots besides OS are Office of Zoning, Office of Planning, the Dept. of Public Works, Historic Preservation and DDOT.Record lots are defined only when requested by property owners, normally when they are seeking a building permit. Record lots are recorded in Plat Books and Subdivision Books in the Office of the Surveyor. These documents are bound volumes of historical representations of the locations of property lines, and they include record dimensions, though typically no bearings of lines. These lots are located within squares, which usually correspond to one or two city blocks. Certain record lots can also be classified as “of-lots”. An "Of-Lot" is the D.C. Surveyor’s Office term for describing “Remaining/Part of Original Lot X”In the record lot feature class, if a domain value of 1 resides in the “OF_LOT” field, you can assume that at one time the original lot was modified. Typically, any of these of-lots will also have a tax lot overlaying them since it is a piece or remainder of a Record Lot.

1:50 000 Scale Colour Raster is Ordnance Survey’s definitive raster product, providing a complete digital view of the popular Landranger® paper map series. It comprises 815 tiles, each 20 km by 20 km, and offers clear detail on roads, footpaths, woods, water features, important buildings and height contours. All topographic features are joined across sheet edges, providing seamless coverage of the entire country.

Attached details of assets (Buildings and Public Open Space) that East Cambridgeshire District Council are responsible for. This table is shown detailing their unique property reference given by the Council, their tenure and sizes (m2) A full dataset version including the GeoX, GeoY and UPRN derived from Ordnance Survey data can only be released for 'using the data to respond to, or interact with the Licensor to deliver or support the delivery of the Licensor's Core Business' due to OS Licensing restrictions under a PSMA end user licence http://www.ordnancesurvey.co.uk/business-and-government/public-sector/mapping-agreements/end-user-licence.html If you wish to use this data for any other purpose other than supporting the delivery of the Licensor's Core Business, then you should contact Ordnance Survey via https://www.ordnancesurvey.co.uk/contact/ or telephone 03456 05 05 05 to discuss how they can help you with your requirements

This dataset provides information on Northumberland County Councils land and building assets. Details are provided to meet the required standards of the Local Government Transparency Code 2014. The Code states for vacant properties that only the first part of the postcode should be published so this information has been redacted accordingly. As the Name of building and/or land also contains address details these have also been redacted for vacant properties. Due to OS licensing restrictions a full dataset version including the GeoX, GeoY and UPRN data can only be released for the purpose of using the data to respond to, or interact with the Licensor to deliver or support the delivery of the Licensors Core Business under a PSMA end user licence. http://www.ordnancesurvey.co.uk/business-and-government/public-sector/mapping-agreements/end-user-licence.html

OS MasterMap Topography Layer is the most detailed and accurate view of Great Britain's landscape. It includes features representing the manmade and natural environment, including: roads, tracks and paths; land cover; buildings; water; rail; height;heritage; structures and; administrative boundaries. All features are assigned a unique Topographic Identifier (TOID).

This dataset contains polylines depicting non-woodland linear tree and shrub features in Cornwall and much of Devon, derived from lidar data collected by the Tellus South West project. Data from a lidar (light detection and ranging) survey of South West England was used with existing open source GIS datasets to map non-woodland linear features consisting of woody vegetation. The output dataset is the product of several steps of filtering and masking the lidar data using GIS landscape feature datasets available from the Tellus South West project (digital terrain model (DTM) and digital surface model (DSM)), the Ordnance Survey (OS VectorMap District and OpenMap Local, to remove buildings) and the Forestry Commission (Forestry Commission National Forest Inventory Great Britain 2015, to remove woodland parcels). The dataset was tiled as 20 x 20 km shapefiles, coded by the bottom-left 10 km hectad name. Ground-truthing suggests an accuracy of 73.2% for hedgerow height classes.

The National Receptor Dataset (NRD) is a collection of risk receptors, typically residential and commercial property, intended for use in flood and coastal erosion risk management. It is a spatial dataset produced from Ordnance Survey (OS) AddressBase® Premium (ABP) and OS MasterMap® (MM) data with information on property type, floor area and Flood Hazard Research Centre’s Multi-Coloured Manual (MCM) codes attributed.

The versions of the NRD described here for the NRD 2023 & 2025 created as part of the Flood Risk Assessment Wales Data Management (FRAW DM) process. These datasets of NRD builds on the same methodology as NRD 2018, with a refresh of input datasets.

NRD 2023 & 2025 comprises of two layers, they have been created from the OS AddressBase Premium dataset and from OSMM, which is created from OS MasterMap. Both datasets should be viewed together, to give a complete view of the NRD datasets.

List of improvements from NRD 2018 to NRD 2023 & 2025 include: 1. Main input datasets have been updated, including; OS ABP, OS MM, NRW Flood Alert and Warning Areas, NRW Flood Warning Uptake, Defended Areas. 2. Over 52,000 Static Caravans are now included in the OS MM datasets, therefore these have now been included in the NRD 2023 & 2025 from OSMM Layer. 3. The building footprint threshold within the NRD 2023 & 2025 from OSMM layer has been increased from 30m² to 60m². This is to remove unwanted features like garages being classified as “Residential” dwelling. 4. Ordnance Survey have significantly improved their classification of properties across Wales. For example, end of terrace houses in some location were called “semi-detached” previously, these have now been correctly assigned as “end of terrace” in NRD 2023 & 2025.

Smart Building OS Platforms Market Outlook

According to our latest research, the Global Smart Building OS Platforms market size was valued at $7.2 billion in 2024 and is projected to reach $32.8 billion by 2033, expanding at a robust CAGR of 18.2% during the forecast period of 2024–2033. The primary factor fueling this market’s growth is the surging demand for integrated, data-driven building management solutions that enhance operational efficiency, occupant comfort, and sustainability. As urbanization accelerates and smart city initiatives proliferate worldwide, building owners and operators are increasingly turning to advanced operating system platforms that unify disparate building systems—such as HVAC, lighting, security, and energy management—into a single, intelligent ecosystem. This integration not only optimizes resource utilization but also supports predictive maintenance, real-time monitoring, and compliance with evolving environmental regulations, positioning smart building OS platforms as a cornerstone in the future of urban infrastructure.

Regional Outlook

North America currently dominates the global Smart Building OS Platforms market, accounting for the largest share with a market value exceeding $2.8 billion in 2024. This region’s leadership can be attributed to its mature commercial real estate sector, early adoption of cutting-edge building automation technologies, and stringent regulatory frameworks promoting energy efficiency and sustainability. The United States, in particular, is home to a high concentration of smart buildings, driven by aggressive investments from both private and public sectors. Furthermore, the presence of key industry players and a robust ecosystem of technology providers has fostered rapid innovation and deployment of smart building OS platforms across commercial, residential, and public infrastructure segments. Federal and state-level incentives, alongside ambitious net-zero carbon targets, continue to propel the adoption of these solutions, reinforcing North America’s position as the bellwether for global market trends.

The Asia Pacific region is projected to be the fastest-growing market for Smart Building OS Platforms, with an impressive CAGR of 21.5% expected through 2033. This accelerated growth is primarily driven by rapid urbanization, burgeoning construction activities, and the increasing integration of IoT and AI technologies in new and existing buildings. Countries such as China, Japan, South Korea, and India are witnessing massive investments in smart city projects and infrastructure modernization, creating fertile ground for smart building OS platform adoption. Governments across the region are actively promoting green building certifications and digital transformation in the built environment, further catalyzing market expansion. The proliferation of affordable cloud-based solutions and the emergence of local technology startups are also contributing to the democratization and localization of smart building technologies, making them accessible to a broader spectrum of property owners and managers.

Emerging economies in Latin America and the Middle East & Africa are gradually catching up, albeit with unique challenges and opportunities. While these regions currently represent a smaller share of the global market, there is a growing recognition of the value proposition offered by smart building OS platforms, particularly in commercial and public infrastructure projects. However, adoption is often hampered by limited access to capital, inconsistent policy frameworks, and a shortage of skilled professionals. In response, international development agencies and multinational technology firms are increasingly collaborating with local governments to pilot smart building initiatives and build capacity. As awareness grows and digital infrastructure matures, these regions are expected to become important engines of future market growth, especially as localized solutions tailored to specific climatic, cultural, and regulatory contexts gain traction.

Report Scope

Land and property assets owned by Wakefield Council. Data sets will be published in September each year

A full dataset version including the Geox, GeoY and UPRN derived from Ordnance Survey data can only be released for “using the data to respond to, or interact with the Licensor to deliver or support the delivery of the Licensor’s Core Business” due to OS licensing restrictions under a PSMA end user licence.

If you wish to use this data for any other purpose other than supporting the delivery of the Licensor’s Core Business, then you should contact Ordnance Survey or telephone 03456 05 05 05 to discuss how they can help you with your requirements.

Contact Details:
Property Management
P. O. Box 700
(Floor 3)
Burton Street
Wakefield
WF1 2EB

Telephone 01924 305849
E mail: propertymanagement@wakefield.gov.uk

Publishing this information annually is a requirement of the Local Government Transparency Code 2015.