A lookup between postcodes and postcode sectors, postcode districts and postcode areas as at March 2021 in England and Wales (File size 5MB).

Postcode area and district polygons derived from Ordnance Survey Open Data using R and GRASS. Method used was creating voronoi polygons from point postcode data and dissolving boundaries based on postcode area and district attributes.Contains OS data © Crown Copyright and database rightFile descriptions:postcode_polygons.gpkg: geopackage file containing two polygon layers: postcode_area and postcode_district.postcode_aggregator.R: R script to extract area and district from full postcode.postcode_aggregator.sh: GRASS/Bash script to convert point postcode data into polygons.postcode_overview.png: image of polygons available.

This is the ONS Postcode Directory (ONSPD) for the United Kingdom as at February 2024 in Comma Separated Variable (CSV) and ASCII text (TXT) formats. This file contains the multi CSVs so that postcode areas can be opened in MS Excel. To download the zip file click the Download button. The ONSPD relates both current and terminated postcodes in the United Kingdom to a range of current statutory administrative, electoral, health and other area geographies. It also links postcodes to pre-2002 health areas, 1991 Census enumeration districts for England and Wales, 2001 Census Output Areas (OA) and Super Output Areas (SOA) for England and Wales, 2001 Census OAs and SOAs for Northern Ireland and 2001 Census OAs and Data Zones (DZ) for Scotland. It now contains 2021 Census OAs and SOAs for England, Wales and Northern Ireland. It helps support the production of area-based statistics from postcoded data. 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. (File size - 231 MB) Please note that this product contains Royal Mail, Gridlink, LPS (Northern Ireland), Ordnance Survey and ONS Intellectual Property Rights.

Looking for a detailed postcode sector map of United Kingdom? With Spotzi, you can explore this British postcode data in our dashboards for free. Create a free account and unlock access to our powerful postcode dashboard to analyze, segment, and target areas like never before.

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Open Postcode Geo is a postcode dataset and API optimised for geocoding applications. You can use Open Postcode Geo to geocode a dataset, geocode user input, and therefore build a proximity search.

Data is derived from the ONS (Office for National Statistics) postcode database and is free to use, subject to including attributions to ONS, OS (Ordinance Survey) and Royal Mail.

Information is also provided on a range of topics, including education, health, crime, business, etc.

Postcodes can be entered at area, district, sector, and unit level - see Postcode map for the geographical relationship between these.

OS Code-Point® Open is an OpenData postcode-level dataset providing a point location for all geographic postal codes in Great Britain. The gazetteer service allows geocoding and postcode searching against this dataset. It is ideal for a variety of uses including planning A to B journeys, performing analysis, managing assets (such as premises) or utilising postcode lookups. Attributes: Postcode units, eastings, northings, positional quality indicator, NHS® regional health authority code, NHS health authority code, country code, administrative county code, administrative district code and administrative ward code.Data Currency: February 2022

UK Postcode-level Flood Risk Data (Rivers and Sea)

Identifying Risk Areas for Flood Protection and Planning

By IBM Watson AI XPRIZE - Environment [source]

About this dataset

Welcome to the UK Postcode-level Flood Risk Dataset. This open source dataset contains detailed information on flood risk levels by postcode in the UK, allowing you to map out potential problems and plan accordingly. With this dataset, you can assess each postcode's growing risk of floods due to human land use change and climate change-related weather patterns, as well as historical occurrences specific to each area.

We pull data from organizations including Risk of Flooding from Rivers & Sea, Open Postcode Geo, Royal Mail copyright & database right (2017), National Statistics data Crown copyright & database right (2017), and Environment Agency data licensed under the Open Government Licence v3.0. The associated columns in this dataset are detailed below:

• Postcode - unique identifier for the postal code district where flood risk area is located
• FID - Unique ID for each location point
• PROB 4BAND - Flood risk level for a given postcode determined according to a four tier grade system (High, Medium, Low or Very Low)
• SUITABILITY - Suitability of location based on environment factors assessed according to OFRA criteria
• PUB_DATE - Date when data was published or last updated
• RISK FOR INSURANCE SOP - Standard Operating Procedure assigned according the Probability 4 band Risk rating
• Easting/Northing/Latitude/Longitude – Coordinates associated with a given postcode location

This data can be used by local authorities and agencies conducting flood mapping projects; insurers assessing assets at specified locations using an agreed set of methodology; advisors assessing locations for development purposes; forecasters aiding contingency planning; homeowners/commercial businesses seeking insurance cover for claims arising from flooding events etc. Ultimately we hope citizens around the world use this dataset as an important tool to predict areas exposedto potential flooding risks so that preventive measures may be taken beforehand!

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How to use the dataset

This Kaggle dataset provides postcode-level flood risk data for the UK, including the flood risk level, coordinates, and other related information. This dataset is derived from Risk of Flooding from Rivers and Sea (provided by the British government) and Open Postcode Geo. It is licensed under the OGL 3.0 open government license.

In this data set you will find columns for each postcode as well as unique identifiers for a particular region (FID), an overall four band flood risk level (PROB_4BAND), whether a specific location or building is suitable or not (SUITABILITY), when it was published so you can be sure you are getting reliable up to date information (PUB_DATE), Easting/Northing which roughly measure distance eastwards/northwards of locations in meters(EASTING / NORTHING), LATITUDE & LONGITUDE that point to a precise location on google map & finally RISK_FOR_INSURANCE SOP which clearly distinguishes between sites which should generate warnings with regard to various kinds of insurance policies. This allows companies applying digital transformation solutions like hazard mapping solutions to show what risks certain locations present in relation to possible flood damage using digital technologies such as GIS systems or location intelligence tools etc., allowing organizations apply data science models or techniques like predictive analytics that may be used in decision making processes such as those taken by municipalities when signing off disaster management plans etc..

You can use this dataset for research purposes, share your findings on websites through charts & graphs to develop an educational understanding about possible hazards associated with areas that people inhabit around UK particularly at times when storm systems are localized heavily over specific regions making it most likely due causing major catastrophic event across British Isles . People living there can always access their respective postcodes very easily via our Flood Map by Postcode page here Flood Map.

When writing reports acknowledging source material properly , kindly take into account our acknowledgements including; Contains OS data © Crown copyright and database right 2017, Contains Royal Mail data © Royal Mail copyright and Database right 2017 , Contains National Statistics ...

Geographic Insights validate, evaluate and benchmark the sales-based dynamics of a location measuring sales, transactions, average ticket size , number of accounts, etc. happening in a retail area on a specific period in time. The indices combine the location of merchants and the date, time and amount of the transactions to create a “timeseries of data”. The indices are aggregated, anonymized and normalized at all levels of the geographic hierarchy.

A best-fit lookup between postcodes, 2021 Census Output Areas (OA), Lower Layer Super Output Areas (LSOA), Middle Layer Super Output Areas (MSOA) and local authority districts (LAD). Postcodes are as at May 2024 in the UK and are best-fitted by plotting the location of the postcode's mean address into the areas of the output geographies. (File size 22 MB). Field Names - PCD7, PCD8, PCDS, DOINTR, DOTERM, USERTYPE, OA21CD, LSOA21CD, MSOA21CD, LADCD, LSOA21NM, MSOA21NM, LADNM, LADNMW Field Types - All Text Field Lengths - 7, 8, 8, 8, 8, 1, 9, 9, 9, 9, 55, 65, 45, 45

The Access Network Map of England is a national composite dataset of Access layers, showing analysis of extent of Access provision for each Lower Super Output Area (LSOA), as a percentage or area coverage of access in England. The ‘Access Network Map’ was developed by Natural England to inform its work to improve opportunities for people to enjoy the natural environment. This map shows, across England, the relative abundance of accessible land in relation to where people live. Due to issues explained below, the map does not, and cannot, provide a definitive statement of where intervention is necessary. Rather, it should be used to identify areas of interest which require further exploration. Natural England believes that places where people can enjoy the natural environment should be improved and created where they are most wanted. Access Network Maps help support this work by providing means to assess the amount of accessible land available in relation to where people live. They combine all the available good quality data on access provision into a single dataset and relate this to population. This provides a common foundation for regional and national teams to use when targeting resources to improve public access to greenspace, or projects that rely on this resource. The Access Network Maps are compiled from the datasets available to Natural England which contain robust, nationally consistent data on land and routes that are normally available to the public and are free of charge. Datasets contained in the aggregated data:•
Agri-environment scheme permissive access (routes and open access)•
CROW access land (including registered common land and Section 16)•
Country Parks•
Cycleways (Sustrans Routes) including Local/Regional/National and Link Routes•
Doorstep Greens•
Local Nature Reserves•
Millennium Greens•
National Nature Reserves (accessible sites only)•
National Trails•
Public Rights of Way•
Forestry Commission ‘Woods for People’ data•
Village Greens – point data only Due to the quantity and complexity of data used, it is not possible to display clearly on a single map the precise boundary of accessible land for all areas. We therefore selected a unit which would be clearly visible at a variety of scales and calculated the total area (in hectares) of accessible land in each. The units we selected are ‘Lower Super Output Areas’ (LSOAs), which represent where approximately 1,500 people live based on postcode. To calculate the total area of accessible land for each we gave the linear routes a notional width of 3 metres so they could be measured in hectares. We then combined together all the datasets and calculated the total hectares of accessible land in each LSOA. For further information about this data see the following links:Access Network Mapping GuidanceAccess Network Mapping Metadata Full metadata can be viewed on data.gov.uk.

A best-fit lookup between output areas and enumeration postcode sectors as at 31 December 2011 in England and Wales. The 2011 OA to enumeration postcode sector (E&W) lookup has been created from a base file, namely the residential postcode (census enumeration only) to 2011 OA lookup. The base file was created by best-fitting postcodes to 2011 OA by plotting the postcode centroid (the point of the mean address in the postcode) into the 2011 OA. To create a 2011 OA to postcode sector lookup from the base file, the following processes were run: - postcodes were truncated to five characters (postcode sector level) from seven characters (unit postcode level). - these five character postcode sectors were grouped to form a postcode sector to OA lookup (many postcode sectors to many OA). - each unique OA was then assigned to a single postcode sector. If an OA covered more than one postcode sector, the postcode sector with most Census population falling in the OA was assigned. This gives a one OA to many postcode sectors lookup. Postcode sectors can cross administrative areas and will only be aligned within the defined postcode hierarchy. (File Size 3MB).Field Names – OA11CD, PCDS11CD

Field Types – Text, Text

Field Lengths – 9, 5REST URL of Feature Access Service – https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/OA11_PCDS11_EW_LU_1e64375a018c47b1b8f0932c5c27d4f2/FeatureServer

The property subsidence assessment dataset provides an understanding of the shrink-swell hazard at both the individual property and/or postcode level for England and Wales. It builds upon the BGS GeoSure shrink-swell data by mapping the hazard to the individual building polygon and considering the other susceptibility factors of building type, foundation depth, and drainage and tree proximity. The data consist of GIS building polygons with an overall susceptibility to subsidence score between 1-100. Scores are also classified from non-plastic to very high. Each building polygon is also scored from 1-10 for each subsidence factor (geology, foundation, drainage, building type, building storey and tree proximity). Postcode data is also available as a table showing the ‘average’ PSA score for all buildings within the postcode. The identification of shrink-swell related subsidence prone areas, alongside the inclusion of potential sources to exacerbate these phenomena, can better inform insurers and homeowners and form the basis to make decisions concerning prevention and remediation. The product enhances geological information obtained from GIP (BGS GeoSure Insurance Product) and GeoSure via the inclusion of the crucial shrink-swell susceptibility factors (proximity to trees and foundation depth). This therefore allows the derivation of a risk element for the housing stock at Building level, which is then generalised to Postcode level. BGS GeoSure - a series of GIS digital maps identifying areas of potential natural ground movement hazard in Great Britain

This method provides statistics on relative deprivation in England, Wales, and Scotland, including:

• The Index of Multiple Deprivation (IMD) – a measure of overall deprivation
• Domain-specific indices (e.g., income, employment, education, health etc.) that differ by country
• Area rankings and deciles for simplified analysis

Area Types

The indices assess deprivation at a small-area level:

• England & Wales: Lower-layer Super Output Areas (LSOAs)
• Scotland: Data Zones

Ranking & Deciles

Each area is ranked from most to least deprived:

• England: 1 (most deprived) to 32,844 (least deprived)
• Wales: 1 (most deprived) to 1,909 (least deprived)
• Scotland: 1 (most deprived) to 6,976 (least deprived)

The ranks are available in the imdRank field, with domain-specific ranks in fields such as incomeRank, employmentRank, crimeRank, etc.

To simplify, areas are also categorized into deciles (1 = most deprived, 10 = least deprived), available in fields like imdDecile, incomeDecile, employmentDecile, etc.

Mapping & Consumer Platform Adjustments

We use deciles to color-code our deprivation map. However, on our consumer platform, we reversed the ratings scale to match user expectations where higher ratings are associated with higher deprivation.

For example, postcode W6 0LJ (imdDecile 2, a highly deprived area) is displayed as “_Index of Multiple Deprivation - 9/10 or high_” on the consumer platform.

Data Availability

• England & Wales: 2019
• Scotland: 2020

PLEASE NOTE: This record has been retired. It has been superseded by: https://environment.data.gov.uk/dataset/f81508d3-cf5a-44ed-ae7e-452be665af84 This dataset is a product of a national assessment of flood risk for England produced using local expertise. It is produced using the Risk of Flooding from Rivers and Sea data which shows the chance of flooding from rivers and/or the sea, based on cells of 50m. Each cell is allocated one of four flood risk categories, taking into account flood defences and their condition.

This dataset uses OS address data and Royal Mail postcode data to show how many properties are in each of four flood risk categories in each postcode, based simply on the category allocated to the cell that each property is in.

The maps below show the population of the UK in 2022, at country, region, county and postcode sector level. The maps also provide information about the relative wealth, education and employment of people living in different areas.This map shows different countries of the UK.

A lookup between 2011 Census enumeration postcodes for England and Wales, and the parishes / communities, wards and local authority districts as at 31 December 2011. Enumeration postcodes are a sub-Output Area (OA) geography used only for the publication of estimates of males, females and households in the 2011 Census. The enumeration postcodes are defined as only those valid unit postcodes that were recorded during the 2011 Census as containing usually resident population. Postcodes have been assigned using a ‘point-in-polygon’ methodology that plots each postcode's mean address (centroid) into the areas of each of the parishes / communities, wards and local authority districts (LAD). In England there is not a full coverage of parishes, so the 2011 Census enumeration postcodes that do not fall into a parish will have no parish allocation. There are also 23 parishes (0.2%) that do not contain any enumeration postcode centroids. This occurs where a parish contains population, but the centroid of the postcode falls outside the parish. In these instances it is not possible to allocate a postcode to the parish.

A best-fit lookup between output areas and enumeration postcode sectors as at 31 May 2021 in England and Wales. The 2021 OA to enumeration postcode sector (E&W) lookup has been created from a Postcode Sector shapefile and the population-weighted centroids. (File Size 13 MB).Field Names – OA21CD, PCDS21CDField Types – Text, TextField Lengths – 9, 6

Geoplan mapping data provided the flood risk insurer with most accurate UK Postcode data on the market, giving them the ability to create flood maps, catastrophe models and analytics, used by some of the world's largest insurers.

Introduction This dataset provides information on where UK Power Networks requires flexibility services. The dataset provides a mapping of postcodes to Flexibility Zones – for all existing and historic day-ahead and long-term flexibility requirements. This enables potential flexibility service providers to quickly understand their eligibility for revenue from flexibility, without sharing any sensitive personal or commercial information. This dataset provides an approximation of eligibility for our flexibility tenders. Please note that even if your asset is within a postcode listed in this dataset, as part of the flexibility procurement process we will need to validate that the individual meter point (MPAN) is electrically connected to the Flexibility Zone. Methodological Approach Postcodes are listed against a Flexibility Zone where at least one meter point within that postcode is electrically connected to the constrained network asset. For large Flexibility Zones, which cover multiple postcodes, this will be a very good indication of eligibility for flexibility services. For smaller Flexibility Zones, particularly those at Low Voltage, a significant proportion of properties within a listed postcode may ultimately not be eligible. As part of our flexibility procurement process, we will check the individual meter point (MPAN) to confirm its final eligibility. This dataset offers an approximation of eligibility, without requiring any sharing of household or business level data. Quality Control Statement Dispatches are passed through a quality control algorithm to flag anomalies and erroneous data. Quality control checks include: Checking the formatting of postcodes Checking the number of postcodes mapped to each Flexibility Zone Checking that Flexibility Zone names align with those in other datasets on the Open Data Portal and on UK Power Networks’ chosen flexibility market platform: www.localflex.co.uk Assurance Statement The Flex Zone to Postcode mapping is reviewed before publication by a member of Flexibility Markets team.

Other

Download dataset information: Metadata (JSON)

Definitions of key terms related to this dataset can be found in the Open Data Portal Glossary: https://ukpowernetworks.opendatasoft.com/pages/glossary/