This dataset provides information about the number of properties, residents, and average property values for Boundary Avenue cross streets in Manchester, PA.

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This dataset is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data.

Data covers the period 05/12/2019 - 05/02/2020

Public transport schedule data for all bus and Metrolink tram services within the Greater Manchester boundary. Updated by TfGM weekly.

For details of what the data in the fields represents, you may find it useful to look at the General Transit Feed Specification Reference page - a link to this is below.

You will be deemed to accept the terms of the Licence through any use or downloading of the data. Please acknowledge the source of this information using the following attribution statement:

Contains Transport for Greater Manchester data. Contains OS data © Crown copyright and database right 2019.

The definition of the Flood Zone 3b: The Functional Floodplain is contained at Paragraph 078 of the Planning Practice Guidance on Flood Risk and Coastal Change and is defined as:This zone comprises land where water from rivers or the sea has to flow or be stored in times of flood. The identification of functional floodplain should take account of local circumstances and not be defined solely on rigid probability parameters. Functional floodplain will normally comprise:• land having a 3.3% or greater annual probability of flooding, with any existing flood risk management infrastructure operating effectively; or• land that is designed to flood (such as a flood attenuation scheme), even if it would only flood in more extreme events (such as 0.1% annual probability of flooding).Local planning authorities should identify in their Strategic Flood Risk Assessments areas of functional floodplain and its boundaries accordingly, in agreement with the Environment Agency. (Not separately distinguished from Zone 3a on the Flood Map).

Bus and Metrolink stop and time data for all services within the Greater Manchester boundary. Known technically as "ATCO-CIF".

Cycle routes in Greater Manchester, including on-road, off-road, and canal towpaths and National Cycle Network routes. Data provided by the GM local authorities. The dataset is available in MapInfo .tab, Google .kmz, and ESRI .shp file formats.

This cycle map data has been collated from a number of different sources by Transport for Greater Manchester and cannot be guaranteed to be fully correct.

Please acknowledge the source of this information using the following attribution statement:

Contains Transport for Greater Manchester data. Contains OS data © Crown copyright and database right 2022.

This report presents results of HFAS’s (Transport for Greater Manchester Highways Forecasting and Analytical Services formerly known as GMTU) key centre monitoring during the financial year. It includes trends in modal split of trips entering town centres. It is the Key Centres section of Transport Statistics Greater Manchester.

Counts of road traffic and rail users were conducted on a cordon around each of the 10 key centres in Greater Manchester in 1997. Subsequently, until April 2008, three or four centres were surveyed annually with each centre being surveyed on a three yearly cycle to monitor progress towards key objectives in the Greater Manchester Local Transport Plan (GMLTP) and this continued for GMLTP2.

Bus patronage was measured using CPS data. This data was not designed to give an accurate picture of bus passenger at a local level but was then the only data available.

Stockport MBC allocated funds from a performance monitoring programme that, together with SEMMMS and LTP funding, allowed annual monitoring of Stockport key centre each Autumn since 2004. Similarly, Manchester was surveyed in March 2006 as part of Manchester City Council’s second local performance service agreement (LPSA2).

It was decided that from April 2008 each key centre would be surveyed annually and that manual bus surveys would be conducted, rather than using CPS data. Therefore bus trends to 2008 are based on CPS data but trends since then are based on on bus occupancy surveys at cordon points.

Tables providing a summary of road traffic and modal share trends are presented here. Further details of the surveys conducted for each centre are shown in the Transport Statistics reports for the relevant districts.

The exact locations of the cordons and the extent of the areas they encompass have an influence on both the total volume of traffic and the relative proportions of each mode of travel. Therefore comparisons between centres should be treated with caution.

For each key centre, more detailed information and a map showing the location of the cordon are given in the latest individual HFAS Transport Statistics report for the relevant district.

Žemėlapio duomenys, rodantys siūlomą Didžiojo Mančesterio švarios oro zonos ribą. Duomenų rinkinys pateikiamas Mapinfo.tab, Esri.shp, Google.kml ir GeoJSON formatais.

Patvirtinkite šios informacijos šaltinį naudodami šį priskyrimo pareiškimą:
Apima didžiojo Mančesterio transporto duomenis. Jame yra OS duomenų © Karūnos autorių teisės ir duomenų bazių teisės 2021 m.

Super Output Areas are a geographic hierarchy designed to improve the reporting of small-area statistics.

The Lower Super Output Areas and Data Zones list contains 42,619 areas of the following constituent geographies:

• 32,844 Lower Super Output Areas in England
• 890 Super Output Areas in Northern Ireland
• 6,976 Data Zones in Scotland
• 1,909 Lower Super Output Areas in Wales

Please visit ONS Beginner's Guide to UK Geography for more info.

The boundaries are available as either 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) or

clipped to the coastline (Mean High Water mark).

This is a collection of datasets and source code used for a crime prediction study based on POI locations.[1] Crime data from data.police.uk for the following UK police forces:-- Greater Manchester Police,-- Merseyside Police,-- Dorset Police,-- West Yorkshire Police.Time span: October 2016--September 2019.License: https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/Format: CVS (zipped).Files: GreaterManchesterPolice.zip MerseysidePolice.zip Dorset Police.zip West Yorkshire Police.zip [2] Data extracts from OpenStreetMap made available by Geofabrik.de forthe following UK counties:-- Greater Manchester,-- Merseyside,-- Dorset,-- West Yorkshire.Data layers: pois, pois_a, transport, transport_a.Downloaded on: November 14, 2019.License: Open Database License 1.0.Format: shapefile (zipped).Files: greater-manchester-latest-free.shp.zip merseyside-latest-free.shp.zip dorset-latest-free.shp.zip west-yorkshire-latest-free.shp.zip[3] UK administrative boundary data from ordnancesurvey.co.uk.Downloaded on: September 23, 2019.License: Open Government License.Note: Contains OS data © Crown copyright and database right 2018Format: shapefile (zipped)File: district_borough_unitary_region.shp.zip[4] Administrative boundary data for the following UK urban areas:-- Manchester (Manchester District),-- Liverpool (Liverpool District),-- Bournemouth (Bournemouth, Christchurch and Poole District),-- Wakefield (Wakefield District).Obtained by extracting the corresponding districts from dataset [3] listed above.Format: RDS.File: adm-man-liv-bou-wak.RDS.[5] Crime data aggregated to 300x300m grid for the following UK urban areas:-- Manchester (Manchester District),-- Liverpool (Liverpool District),-- Bournemouth (Bournemouth, Christchurch and Poole District),-- Wakefield (Wakefield District).Obtained by geographical aggregation of crime data [1] listed above, limited to the corresponding district boundaries from [3].Format: RDS.File: crime-grid-man-liv-bou-wak.RDS.[6] POI data aggregated to 300x300m grid for the following UK urban areas:-- Manchester (Manchester District),-- Liverpool (Liverpool District),-- Wakefield (Wakefield District),-- Bournemouth (Bournemouth, Christchurch and Poole District).Obtained by geographical aggregation of POI data [2] listed above, limited to the corresponding district boundaries from [3].Format: RDS.File: poi-grid-man-liv-bou-wak.RDS.[7] R functions for data preparation.File: crime-poi-functions-data.R.[8] R functions for model creation and evaluation.File: crime-poi-functions-model.R.[9] R script for data preparation.File: crime-poi-data.R.[10] R script for model creation and evaluation.File: crime-poi-model.R.The code assumes that:-- source code files are placed in the current working directory,-- original unprocessed data files [1-3] are placed in the data subdirectory of the current working directory,-- the RDS subdirectory exists in the current working directory (this is where RDS files are saved),-- the Plots subdirectory exists in the current working directory (this is where plot files are saved).The provided RDS files [4-6] may be optionally placed in the RDS subdirectory to avoid repeating the time-consuming data preparation process -- they will be used if available or re-created from the original data otherwise (but the latter may take several hours).

This data came from a desktop study in 2011. Updates have been provided by Local Authorities when the paper cycle map has been updated. This data may not be completely up-to-date as bike shops frequently open and close.

This cycle map data has been collated from a number of different sources by Transport for Greater Manchester and cannot be guaranteed to be fully correct.

Data available in MapInfo .tab, Google .kmz, and ESRI .shp file formats.

Please acknowledge the source of this information using the following attribution statement:

Contains Transport for Greater Manchester data. Contains OS data © Crown copyright and database right 2017.

In the 2023/24 reporting year, Greater Manchester Police reported 333,630 crime offences, compared with 369,853 in the previous year. During this time period, the number of crimes reported was highest in 2022/23.

This dataset identifies areas where the distribution of great crested newts (GCN) has been categorised into zones relating to GCN occurrence and the level of impact development is likely to have on this species. Red zones contain key populations of GCN, which are important on a regional, national or international scale and include designated Sites of Special Scientific Interest for GCN. Amber zones contain main population centres for GCN and comprise important connecting habitat that aids natural dispersal. Green zones contain sparsely distributed GCN and are less likely to contain important pathways of connecting habitat for this species. White zones contain no GCN. However, as most of England forms the natural range of GCN, white zones are rare and will only be used when it is certain that there are no GCN.

Cycle routes in Greater Manchester, including on-road, off-road, and canal towpaths and National Cycle Network routes. Data provided by the GM local authorities. The dataset is available in MapInfo .tab, Google .kmz, and ESRI .shp file formats.

This cycle map data has been collated from a number of different sources by Transport for Greater Manchester and cannot be guaranteed to be fully correct.

Please acknowledge the source of this information using the following attribution statement:

Contains Transport for Greater Manchester data. Contains OS data © Crown copyright and database right 2018.

Este conjunto de datos consiste en archivos de mapas que muestran las rutas de autobuses que cubren el área de Greater Manchester. El conjunto de datos está disponible en los formatos de archivo MapInfo.tab, Google.kml y ESRI.shp.

Por favor, reconozca la fuente de esta información utilizando la siguiente declaración de atribución:

Contiene datos de Transport for Greater Manchester. Contiene datos del sistema operativo © Crown copyright y base de datos derecho 2023.

A lookup file between local authority districts (LAD) and combined authorities (CAUTH) in England as at 31 December 2016. (File Size - 2 KB)

This data includes the location of cycle stands (e.g. Sheffield Stands) which are generally on-street. All data comes from the Local Authorities.

This cycle map data has been collated from a number of different sources by Transport for Greater Manchester and cannot be guaranteed to be fully correct.

Available in MapInfo .tab, Google .kmz, and ESRI .shp file formats.

Please acknowledge the source of this information using the following attribution statement:

Contains Transport for Greater Manchester data. Contains OS data © Crown copyright and database right 2017.

Map files showing Greater Manchester's walking and cycling network proposals. The dataset is available in MapInfo .tab, Google .kml, ESRI .shp, and GeoJSON file formats.

Please acknowledge the source of this information using the following attribution statement:

Contains Transport for Greater Manchester data. Contains OS data © Crown copyright and database right 2021.

Living England is a multi-year project which delivers a broad habitat map for the whole of England, created using satellite imagery, field data records and other geospatial data in a machine learning framework. The Living England habitat map shows the extent and distribution of broad habitats across England aligned to the UKBAP classification, providing a valuable insight into our natural capital assets and helping to inform land management decisions. Living England is a project within Natural England, funded by and supports the Defra Natural Capital and Ecosystem Assessment (NCEA) Programme and Environmental Land Management (ELM) Schemes to provide an openly available national map of broad habitats across England.This dataset includes very complex geometry with a large number of features so it has a default viewing distance set to 1:80,000 (City in the map viewer).Process Description:A number of data layers are used to develop a ground dataset of habitat reference data, which are then used to inform a machine-learning model and spatial analyses to generate a map of the likely locations and distributions of habitats across England. The main source data layers underpinning the spatial framework and models are Sentinel-2 and Sentinel-1 satellite data from the ESA Copernicus programme, Lidar from the EA's national Lidar Programme and collected data through the project's national survey programme. Additional datasets informing the approach as detailed below and outlined in the accompanying technical user guide.Datasets used:OS MasterMap® Topography Layer; Geology aka BGS Bedrock Mapping 1:50k; Long Term Monitoring Network; Uplands Inventory; Coastal Dune Geomatics Mapping Ground Truthing; Crop Map of England (RPA) CROME; Lowland Heathland Survey; National Grassland Survey; National Plant Monitoring Scheme; NE field Unit Surveys; Northumberland Border Mires Survey; Sentinel-2 multispectral imagery; Sentinel-1 backscatter imagery; Sentinel-1 single look complex (SLC) imagery; National forest inventory (NFI); Cranfield NATMAP; Agri-Environment HLS Monitoring; Living England desktop validation; Priority Habitat Inventory; Space2 Eye Lens: Ainsdale NNR, State of the Bog Bowland Survey, State of the Bog Dark Peak Condition Survey, State of the Bog Manchester Metropolitan University (MMU) Mountain Hare Habitat Survey Dark Peak, State of the Bog; Moors for the Future Dark Peak Survey; West Pennines Designation NVC Survey; Wetland Annex 1 inventory; Soils-BGS Soil Parent Material; Met Office HadUK gridded climate product; Saltmarsh Extent and Zonation; EA LiDAR DSM & DTM; New Forest Mires Wetland Survey; New Forest Mires Wetland Survey; West Cumbria Mires Survey; England Peat Map Vegetation Surveys; NE protected sites monitoring; ERA5; OS Open Built-up Areas; OS Boundaries dataset; EA IHM (Integrated height model) DTM; OS VectorMap District; EA Coastal Flood Boundary: Extreme Sea Levels; AIMS Spatial Sea Defences; LIDAR Sand Dunes 2022; EA Coastal saltmarsh species surveys; Aerial Photography GB (APGB); NASA SRT (Shuttle Radar Topography Mission) M30; Provisional Agricultural Land Classification; Renewable Energy Planning Database (REPD); Open Street Map 2024.Attribute descriptions: Column Heading Full Name Format Description

SegID SegID Character (100) Unique Living England segment identifier. Format is LEZZZZ_BGZXX_YYYYYYY where Z = release year (2223 for this version), X = BGZ and Y = Unique 7-digit number

Prmry_H Primary_Habitat Date Primary Living England Habitat

Relblty Reliability
Character (12) Reliability Metric Score

Mdl_Hbs Model_Habs Interger List of likely habitats output by the Random Forest model.

Mdl_Prb Model_Probs Double (6,2) List of probabilities for habitats listed in ‘Model_Habs’, calculated by the Random Forest model.

Mixd_Sg Mixed_Segment Character (50) Indication of the likelihood a segment contains a mixture of dominant habitats. Either Unlikely or Probable.

Source Source

Description of how the habitat classification was derived. Options are: Random Forest; Vector OSMM Urban; Vector Classified OS Water; Vector EA saltmarsh; LE saltmarsh & QA; Vector RPA Crome, ALC grades 1-4; Vector LE Bare Ground Analysis; LE QA Adjusted

SorcRsn Source_Reason

Reasoning for habitat class adjustment if ‘Source’ equals ‘LE QA Adjusted’

Shap_Ar Shape_Area

Segment area (m2) Full metadata can be viewed on data.gov.uk.