AndreaBozzo/ceres-open-data-index huggingface dataset:
Local Authority Districts (December 2012) Boundaries GB BFC

<span style='color:rgb(0, 0, 0); font-family:Verdana, Arial, Helvetica, sans-serif; font-size:14.4px;'>This file contains the digital vector boundaries for Local Authority Districts, in Great Britain, as at December 2012. </span><div><span style='color:rgb(0, 0, 0); font-family:Verdana, Arial, Helvetica, sans-serif; font-size:14.4px;'><br /></span></div><div><span style='color:rgb(0, 0, 0); font-family:Verdana, Arial, Helvetica, sans-serif; font-size:14.4px;'>The boundaries available are: (BFC) Full resolution - clipped to the coastline (Mean High Water mark).</span></div><div><span style='color:rgb(0, 0, 0); font-family:Verdana, Arial, Helvetica, sans-serif; font-size:14.4px;'><br /></span></div><div><span style='color:rgb(0, 0, 0); font-family:Verdana, Arial, Helvetica, sans-serif; font-size:14.4px;'>Contains both Ordnance Survey and ONS Intellectual Property Rights.</span></div>

<br /><div><div>REST URL of WFS Server – <a href='https://dservices1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/services/LAD_DEC_2012_GB_BFC/WFSServer?service=wfs&request=getcapabilities' target='_blank' rel='nofollow ugc noopener noreferrer'>https://dservices1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/services/LAD_DEC_2012_GB_BFC/WFSServer?service=wfs&request=getcapabilities</a></div></div>

<br /><div><div>REST URL of Map Server – <a href='https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/LAD_DEC_2012_GB_BFC/MapServer' target='_blank' rel='nofollow ugc noopener noreferrer'>https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/LAD_DEC_2012_GB_BFC/MapServer</a></div></div>

<br /><div><div>REST URL of Feature Access Service – <a href='https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/LAD_DEC_2012_GB_BFC/FeatureServer' target='_blank' rel='nofollow ugc noopener noreferrer'>https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/LAD_DEC_2012_GB_BFC/FeatureServer</a></div></div>

Tags: 2012, Administrative Boundaries, BDY_ADM, BDY_LAD, Boundaries, DEC_2012, Local Authority District, UK, United Kingdom, WFS, WMS
Organization: Office for National Statistics
County Electoral Division (May 2018) Names and Codes in EN

<span style='color: rgb(0, 0, 0); font-family: Lato, &quot;Avenir Next&quot;; font-size: 18px;'>This file contains the names and codes for County Electoral Divisions in England as at 3 May 2018.  (File Size - 200 KB) </span><br /><span style='color: rgb(0, 0, 0); font-family: Lato, &quot;Avenir Next&quot;; font-size: 18px;'>Field Names – CED18CD, CED18NM</span><br /><span style='color: rgb(0, 0, 0); font-family: Lato, &quot;Avenir Next&quot;; font-size: 18px;'>Field Types – Text, Text</span><br /><span style='color: rgb(0, 0, 0); font-family: Lato, &quot;Avenir Next&quot;; font-size: 18px;'>Field Lengths – 9, 55</span><div><br /></div><div><div></div></div><div><br /></div><div><div>REST URL of Feature Access Service – <a href='https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/County_Electoral_Division_May_2018_Names_and_Codes_for_England_2022/FeatureServer' target='_blank' rel='nofollow ugc noopener noreferrer'>https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/County_Electoral_Division_May_2018_Names_and_Codes_for_England_2022/FeatureServer</a></div></div>

Tags: 2018, Administrative Names and Codes, CED, County Electoral Divisions, England, MAY_2018, NAC_ADM, NAC_CED, Names and Codes, county electoral division names and codes
Organization: Office for National Statistics
Combined Authorities (December 2023) Names and Codes in EN

<span style='font-family:Lato, &quot;Avenir Next&quot;; color:rgb(0, 0, 0); font-size:18px;'>This file contains names and codes for Combined Authorities (CAUTH) in England as at 31st December 2023</span><span style='font-family:Lato, &quot;Avenir Next&quot;; color:rgb(0, 0, 0); font-size:18px;'>.   The names of the combined authorities in this product reflect those that are in common use, both within the areas and beyond. It should be noted that the names are not always the same as the names in the Statutory Instruments that established them. This is because the statutory names are often very long and not suitable for the presentation of statistics. (File Size - 16 KB)</span><div style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'>Field Names - CAUTH23CD, CAUTH23NM</div><div style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'>Field Types - Text, Text, Number</div><div style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'>Field Lengths - 9, 31</div>

Tags: 2023, CAUTH, Combined Authorities, Combined Authority, DEC_2023, England, NAC_ADM, NAC_CAUTH
Organization: Office for National Statistics
Parish to Ward to Local Authority District (December 2019) Lookup in EW

<span style='color:rgb(0, 0, 0); font-family:Lato, &quot;Avenir Next&quot;; font-size:18px;'>This is a lookup file between civil parishes/communities, electoral wards/divisions in England and Wales as at 31 December 2019.  (File Size - 3 MB) </span><br /><span style='color:rgb(0, 0, 0); font-family:Lato, &quot;Avenir Next&quot;; font-size:18px;'>Field Names - PAR19CD, PAR19NM, WD19CD, WD19NM, LAD19CD, LAD19NM, FID</span><div><span style='color:rgb(0, 0, 0); font-family:Lato, &quot;Avenir Next&quot;; font-size:18px;'>Field Types - Text, Text, Text, Text, Text, Text</span></div><div><span style='color:rgb(0, 0, 0); font-family:Lato, &quot;Avenir Next&quot;; font-size:18px;'>Field Lengths - 9, 66, 9, 53, 9, 35</span></div><div><p style='margin-bottom:0cm; margin-bottom:.0001pt;'><span style='font-size:11.5pt; font-family:&quot;Helvetica&quot;,sans-serif; color:black; background:white;'>FID = The FID, or Feature ID is created by
the publication process when the names and codes / lookup products are
published to the Open Geography portal. </span><span style='font-size:11.5pt; font-family:&quot;Helvetica&quot;,sans-serif; color:#4C4C4C;'></span></p><span style='color:rgb(0, 0, 0); font-family:Lato, &quot;Avenir Next&quot;; font-size:18px;'></span></div><div><br /></div><div><div></div></div><div><br /></div><div><div>REST URL of Feature Access Service – <a href='https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/PAR19_WD19_LAD19_EW_LU_caeb0db084574edd9ef32a421ce6212d/FeatureServer' target='_blank' rel='nofollow ugc noopener noreferrer'>https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/PAR19_WD19_LAD19_EW_LU_caeb0db084574edd9ef32a421ce6212d/FeatureServer</a></div></div>

Tags: 2019, DEC_2019, England and Wales, LAD, LUP_ADM, LUP_PAR_WD_LAD, Local Authority, Local Authority Districts, PAR, Parish, Parishes, WD, Ward, Wards
Organization: Office for National Statistics
LSOA (2011) to Travel to Work Area (December 2011) Exact Fit Lookup in the UK

<span style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:17px;'>A lookup between the 2011 Lower Layer Super Output Areas (LSOAs) and travel to work areas (TTWAs) in the UK as at 31 December 2011 (File Size 7MB).</span><div><span style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:17px;'><b>NB</b></span></div><div><span style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:17px;'><b>File updated to include corrected LSOA11 names - the LSOA codes unaffected</b></span></div><div><br /></div><div><div></div></div><div><br /></div><div><div>REST URL of Feature Access Service – <a href='https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/LSOA11_TTWA11_UK_LU_04a063122da94a2c9bc94bcef63866aa/FeatureServer' target='_blank' rel='nofollow ugc noopener noreferrer'>https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/LSOA11_TTWA11_UK_LU_04a063122da94a2c9bc94bcef63866aa/FeatureServer</a></div></div>

Tags: Census Lookups, DEC_2011, LSOA, LUP_CEN, LUP_LSOA_TTWA, Lookups, Lower Layer Super Output Area, TTWA, Travel to Work, Travel to Work Areas, UK
Organization: Office for National Statistics
Output Area (2011) to Major Towns and Cities (December 2015) Best Fit Lookup in EW

<span style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'>A best fit lookup between 2011 Output Areas (OA) and Major Towns and Cities (TCITY) as at December 2015 in England and Wales. The TCITY statistical geography provides a precise definition of the major towns and cities in England and Wales. The geography has been developed specifically for the production and analysis of statistics, and is based on the Built-Up Areas geography that was created for the release of 2011 Census data. </span><span style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'>(File Size - 4 MB).  </span><div><div></div></div><div><br /></div><div><div>REST URL of Feature Access Service – <a href='https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/OA11_TCITY15_EW_LU_65267a69bf06490d81a4ee1458747f48/FeatureServer' target='_blank' rel='nofollow ugc noopener noreferrer'>https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/OA11_TCITY15_EW_LU_65267a69bf06490d81a4ee1458747f48/FeatureServer</a></div></div>

<br /><span style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, Helvetica, Arial, sans-serif;'><font size='3'>For more information and an overview of best-fitting follow this link - </font></span><div><a href='https://geoportal.statistics.gov.uk/datasets/f0aac7ccbfd04cda9eb03e353c613faa/about' target='_blank' rel='nofollow ugc noopener noreferrer'>https://geoportal.statistics.gov.uk/datasets/f0aac7ccbfd04cda9eb03e353c613faa/about</a><div></div></div>

Tags: 2011, 2015, Best-fit Statistical Lookups, Census Lookups, DEC_2015, England and Wales, LUP_BFT, LUP_OA_TCITY, Latest_Lookups, Lookups, Major Towns and Cities, OA, Output Area, TCITY
Organization: Office for National Statistics
National Assembly for Wales Constituencies (December 2017) Boundaries WA BFE

This file contains the digital vector boundaries for National Assembly for Wales Constituencies in Wales, as at 31 December 2017.  The boundaries are full resolution - extent of the realm (usually this is the Mean Low Water mark but in some cases boundaries extend beyond this to include off shore islands). Contains both Ordnance Survey and ONS Intellectual Property Rights.<div><br /></div><div>REST URL of ArcGIS for INSPIRE View Service – <a href='https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/NAWC_(Dec_2017)_WA_BFE/MapServer' target='_blank' rel='nofollow ugc noopener noreferrer'>https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/NAWC_(Dec_2017)_WA_BFE/MapServer</a></div><div><br /></div><div><div>REST URL of ArcGIS for INSPIRE Feature DownloadService – <a href='https://dservices1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/services/National_Assembly_for_Wales_Constituencies_December_2017_WA_BFE/WFSServer?service=wfs&request=getcapabilities' target='_blank' rel='nofollow ugc noopener noreferrer'>https://dservices1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/services/National_Assembly_for_Wales_Constituencies_December_2017_WA_BFE/WFSServer?service=wfs&request=getcapabilities</a></div><div><br /></div><div><div>REST URL of Feature Access Service – <a href='https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/NAWC_Dec_2017_WA_BFE_2022/FeatureServer' target='_blank' rel='nofollow ugc noopener noreferrer'>https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/NAWC_Dec_2017_WA_BFE_2022/FeatureServer</a></div></div></div>

Tags: 2017, BDY_ELE, BDY_NAWC, BDY_NAWC_SENC, Boundaries, DEC_2017, Electoral Boundaries, NAWC, National Assembly for Wales Constituencies, WFS, WMS, Wales, boundaries
Organization: Office for National Statistics
Parishes (December 2022) Boundaries EW BSC

<span style='box-sizing:border-box; max-width:100%; color:rgb(0, 0, 0); font-family:Verdana, Arial, Helvetica, sans-serif; font-size:14.4px;'>This file contains the digital vector boundaries for Parishes in England and Wales as at December 2022. </span><span style='font-family:Verdana, Arial, Helvetica, sans-serif; font-size:14.4px; color:rgb(0, 0, 0);'>The boundaries available are: (BSC) boundaries are Super Generalised (200m) - clipped to the coastline (Mean High Water mark). </span><span style='font-family:Verdana, Arial, Helvetica, sans-serif; font-size:14.4px; color:rgb(0, 0, 0);'>Contains both Ordnance Survey and ONS Intellectual Property Rights.</span>

Tags: 2022, Administrative Boundaries, BDY_ADM, BDY_PAR, Boundaries, DEC_2022, EW, England and Wales, PAR, Parishes
Organization: Office for National Statistics
Police Recorded Injury Road Traffic Collision Statistics Northern Ireland 2024

The PSNI produces statistics on injury road traffic collisions (RTCs) that are reported to the Police. These statistics are collected in accordance with the STATS20 guidance from the Department for Transport (DfT) and are comparable with the statistics in Great Britain (GB). Damage only collisions or those collisions resulting in no injuries are excluded from these statistics.

Tags: KSI, RTC, accidents, casualties, collisions, injury collisions, killed or seriously injured
Organization: OpenDataNI
Biodiversity patterns under a shifting baseline: Sensitive fish species core areas (Aim 1) 2024

The dataset contains outputs from Aim 1 in Bluemel et al. 2024 - Biodiversity 
patterns under a shifting baseline: important areas for sensitive fish species 
and ecosystem functioning to assist marine spatial planning (see attached), 
Cefas Project Report for Defra, 40 pp. The dataset includes regional 
core-areas (persistent areas of high fish population density) and projected 
spatial changes in the distribution of sensitive fish species (currently and 
under future environmental change) for nine focal species, including the 
common skate complex (Dipturus spp.), spurdog (Squalus acanthias), tope 
(Galeorhinus galeus), spotted ray (Raja montagui), undulate ray (Raja 
undulata), starry ray (Amblyraja radiata), John Dory (Zeus faber), Atlantic 
wolffish (Anarhichas lupus) and Atlantic halibut (Hippoglossus hippoglossus).

Historic core areas / home ranges: vectors of historic core-areas (persistent 
areas of high fish population density) and home ranges of the nine focal 
species derived from standardised trawl data (survey catch-rates expressed in 
terms of biomass per area swept by the trawl, kg.km2) from long-term 
fishery-independent monitoring programmes (Lynam & Ribeiro 2022a). Where 
available, core areas were defined for each decade (1985 – 1994; 1995 – 2004; 
2005 – 2014) where 50% of the population’s kernel density was concentrated. 
Similarly, the species range was defined as the areas containing 95% of the 
population’s kernel density. NB, there are no historic core areas available 
for tope.

Species distributions: contains gridded rasters of the raw predicted habitat 
suitability projections from the Bayesian Additive Regression Trees (BART, 
Chipman et al., 2010) modeling algorithm for the nine fish species for the 
model training/current day period 2005 – 2014 ('Training') and expected 
habitat suitability for a species given future environmental conditions in 
2050 (climate projection representative concentration pathway (RCP) 4.5 
(medium emissions, high mitigation)) ('RCP4.5_2050').

Current core areas: contains vectors of current core-areas of the nine focal 
species derived from the expected habitat, based on a novel thresholding 
approach tailored to the projections of each species distribution model (SDM) 
by outcomes from the spatial analysis of survey-derived biomass. 

Future core areas under rcp4.5 emissions scenario in 2050: contains vectors of 
future core-areas of the nine focal species derived from the expected habitat, 
based on a novel thresholding approach tailored to the projections of each SDM 
by outcomes from the spatial analysis of survey-derived biomass. NB, no future 
core area is predicted for starry ray under this emissions scenario.

The spatial reference for all data is WGS84/UTM zone 30N (EPSG:32630)

Organization: Marine Environmental Data & Information Network
Seafloor litter data collected around the UK coast from 2016 to 2022

These datasets describe seafloor litter data collected from the sea floor 
around the UK between 2016 and 2022. One dataset is from the North Sea 
(collected from 2016 to 2020) and one dataset is from the Celtic Seas 
(collected from 2018 to 2022). The number of items and the weight in kilograms 
is reported for each litter category. The litter data was collected using the 
ICES Manual for Seafloor Litter Data Collection and Reporting from Demersal 
Trawl Samples which also specifies the specific litter categories used; 

ICES (2022). ICES Manual for Seafloor Litter Data Collection and Reporting 
from Demersal Trawl Samples. ICES Techniques in Marine Environmental Science 
(TIMES). Report. `https://doi.org/10.17895/ices.pub.21435771.v1`_


.. _`https://doi.org/10.17895/ices.pub.21435771.v1`:
    https://doi.org/10.17895/ices.pub.21435771.v1

Organization: Marine Environmental Data & Information Network
Hyperspectral data of a submerged tarpaulin at Whitlingham Broad, UK, 2021

Unmanned Aerial Vehicle (UAV) hyperspectral data collected on 19/08/2021, 
imagining an artificial 10x10m tarpaulin deployed in Whitlingham broad 
(Norwich, UK). This dataset was collected in a collaboration with Texo (
`https://www.texo.co.uk/`_) and Headwall (
`https://www.headwallphotonics.com/`_) using a visible-near infrared (VNIR) 
sensor (400 - 1000 nm). The purpose of the data collection was to better 
understand the attenuation of plastic spectral signature in the freshwater 
environment and the effect of water.


.. _`https://www.texo.co.uk/`:
    https://www.texo.co.uk/

.. _`https://www.headwallphotonics.com/`:
    https://www.headwallphotonics.com/

Organization: Marine Environmental Data & Information Network
Code-Point

Code-Point® precisely locates 1.7 million postcode units in Great Britain and Northern Ireland. Each unit contains an average of 15 adjoining addresses.

For direct marketers, Code-Point® helps you maximise your response rates by targeting customers in the best postcodes for your offering.

Code-Point is a powerful insights tool. It shows up geographical hot-spots so you can target local action on, for example, petty crime or disease outbreaks.

We give you the split between residential and commercial addresses in each postcode. This lets you work out which areas to target for services like business broadband.

Code-Point provides a precise geographical location for each postcode unit in the United Kingdom. It also contains additional information, for example, NHS region and area codes, local government county, district and ward codes, PO boxes and the total number of addresses, both domestic and non-domestic, in each postcode unit. Code-Point includes Gridlink® data. Gridlink is a consortium initiative involving a number of government agencies that have cooperated to improve the consistency and quality of spatially referenced, postcode-based data.

Tags: Administrative codes, Delivery points, Gridlink, PO boxes, Postcode
Organization: Ordnance Survey
OS Open Built Up Areas

OS Open Built Up Areas represents the built up areas of Great Britain and contains three unique datasets, offering maximum flexibility to meet your needs: Built Up Areas, Built Up Extents and Non Built Up Extents and includes built up areas greater than 200,000m2 or 20 hectares, unique names, alternative language names and GSS codes.

Tags: Alternative Language Names, Built Up Area, Built Up Extent, GSS codes, Government Statistical Service codes, Non Built Up Extent, Place Names, Statistics
Organization: Ordnance Survey
Multi-modal Routing Network

The Multi-modal Routing Network is a combination of OS Networks Data including Rail, Paths, Roads and Ferries combined with Modal Change Sites to create a fully topological network to enable routing applications.
			
			The data is structured in a OpenStreetMap compliant way to enable the data to be used in a wide range of open software.  Data is supplied in both geopackage and Protocolbuffer Binary Format (PBF) the latter of which can be used directly in routing applications however some tailoring will be required to make full use of all of the attribution.

Organization: Ordnance Survey
OS MasterMap Greenspace Layer

OS MasterMap Greenspace Layer is Britain’s most comprehensive greenspace dataset covering urban areas across England, Scotland and Wales.

A detailed dataset of the natural environment, including public and private greenspaces, within urban areas in England, Scotland and Wales. OS MasterMap Greenspace Layer is created from a subset of OS MasterMap Topography Layer. It includes the detailed polygons from this data product and their unique Topographic Identifiers (TOIDs). Land cover and land use values are assigned to each detailed feature.

Tags: Land cover, Land use, camping, garden, golf, green space, natural environment, playground, public park
Organization: Ordnance Survey
Census 2011 - Postcode Units

Postcode unit boundaries are created and maintained by National Records of Scotland (NRS) for every live small user postcode so that the entire land surface of Scotland is covered by postcode polygons.

This is the set of postcode boundaries used for 2011 census outputs.  The dataset contains 145,690 postcode polygons.

Tags: Boundaries, Censuses, Postcodes, Statistical units, census survey, statistical data
Organization: Scottish Government SpatialData.gov.scot
Victim and offender - gender and age

<p>Breakdown of victim and offenders for each district, by age group and gender in Cambridgeshire.<br />
The data covers the full year of 2012 and covers victims and offenders as identified by Cambridgeshire Constabulary in 2012.</p>
<p>Parent Categories and Further Information</p>
<p>Victims and offenders were grouped by gender and age group. The age group are 5 year bands expect those over 70 who are grouped together.</p>
<p>Victim is defined by Cambridgeshire Constabulary.This excludes victims of business crimes.</p>
<p>Offender is defined by Cambridgeshire Constabulary.</p>
<p>More information can be found in the victim and offender needs assessment, which can be found here <a href="http://www.cambridgeshireinsight.org.uk/community-safety/victim-offender-needs-assessment">http://www.cambridgeshireinsight.org.uk/community-safety/victim-offender...</a></p>
<p>Source</p>
<p>Rates are calculated by using the population from the Census 2011.</p>
<p>Victim and offender numbers are supplied by Cambridgeshire Constabulary (2013).</p>


Tags: Community Safety, crime, offender, victim
Organization: Cambridgeshire Insight
Rough sleepers across England

<p>This data provides information across England on the number of rough sleepers in each local authority area and Region, identified either through a count or an estimate, from 2010 to 2017.<br />
The data comes from CLG table 1 and is presented here simply to ease analysis by simplifying the fomatting. The data itself is unchanged.</p>


Tags: Housing, homelessness
Organization: Cambridgeshire Insight