Understanding Geographies Statistics for the Voluntary Sector Alison Peacock Mission Planning Officer Wednesday 8 July 2009
Manchester Diocese & Greater Manchester Districts Digital map from “Dotted Eyes”, © Crown Copyright Ordnance Survey Licence No (2009)
Presentation Overview Why does geography matter? Which geography should I use? Working with small area geographies –Wards –NeSS Geographies Tools and Applications
“Geography is key to virtually all National Statistics. It provides the structure for collecting, processing, storing and aggregating the data.” Why does geography matter?
Which Geography? Frequently Accessed Geographies Administrative Postal Health Census Output Electoral Travel to Work Areas Regeneration Areas (e.g. NDC) National & Neighbourhood Statistics GMP Police Divisions & Neighbourhood Areas Church of England Parish
What have we learned? Other geographies rarely match CoE parish boundaries! But access to small area geographies has enabled us to –identify areas of particular need within larger geographic areas –work more effectively across our own boundaries –define areas and issues of common interest –promote partnership working
1. Working with Wards Located within more than one geography hierarchy –Administrative –Electoral –Census Output Subject to frequent revisions –Statistical Wards –Census Area Statistics (CAS) Wards –Standard Table Wards
Ardwick Ward Boundary Change Postcode M12 6FZ Boundary 2003 Boundary 2004 Digital map from “Dotted Eyes”, © Crown Copyright Ordnance Survey Licence No (2009)
Be Aware! You are likely to find data presented for both electoral and CAS ward boundaries Labour market website NOMIS contains 2001 Census and 2009 benefits data calculated for CAS Wards Important to check the area to which the data relates (especially when calculating trends)
Ardwick Ward 2001 Census Resident Population National StatisticsManchester City Council NOMISNeSS2003 Boundaries 2004 Boundaries Ardwick9,8119,809 12,347
Ward-level Data Strengths & Limitations Wards are important units for local government statistics –e.g. Salford City Council ward profiles contain recent data on: Crime Benefits Dwelling Stock Council Tax But ward-level data is used less frequently in the presentation of Neighbourhood Statistics –very little data presented at ward-level post-2003 –replaced by NeSS geography hierarchy
2. Working with NeSS Geography Understanding the NeSS hierarchy Identifying the physical boundaries of statistical geographies Checking the availability of data for small area statistical geographies
Understanding the NeSS Geography Hierarchy
St Thomas Centre by NeSS Geography Hierarchy Postcode M12 6FZ Output Area 00BNFA0008 LSOA Manchester 018D E MSOA Manchester 018 E Digital map from “Dotted Eyes”, © Crown Copyright Ordnance Survey Licence No (2009)
Neighbourhood Summary
Find Statistics for An Area
NeSS Indicators by Geography % Census- Based Indicators % Other Indicators Total Indicators Output Area LSOA ,112 MSOA ,353 Source: Indicator Catalogue 02/07/09
Tools & Applications Additional Tools –Create a custom table, chart or map –Discover and view boundaries Key Applications –Building user-defined areas –Identifying areas of particular need
Additional NeSS Tools
Custom tables, charts and maps
Discover and view boundaries
“M14” (7 Part Wards) Digital map from “Dotted Eyes”, © Crown Copyright Ordnance Survey Licence No (2009)
St John, Pendlebury & the Duchy Estate Digital map from “Dotted Eyes”, © Crown Copyright Ordnance Survey Licence No (2009)
Further Information More About Areas =userguide/moreaboutareas/more-about-areas.htm Beginners’ Guide to UK Geography Geography Glossary
Contact Details Alison Peacock Mission Planning Officer (direct)