Analysis of the socio-economic profiles in Europe

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Presentation to GIS Day event on Geo-analysis for implementing policy in Kortrijk, Belgium 20 November 2013

Technologie Wirtschaft & Finanzen

Geo-analysis for implementing policy
Analysis of the socio-economic profiles
in Europe
Mike Thacker, Porism Limited (UK)
Kortrijk – 20 November 2013

To discuss
1. Evidence-led policy
2. Metrics structures
3. Example data analysis by area
4. Socio-economic profiles
5. Profiling by area across Europe
6. Small area profiles
7. Natural neighbourhoods
8. Further information

How open data applied to geography can
influence and be used to implement
policy

Evidence-led policy
Policy

Metrics

Services

Increase healthiness /
quality of life

Obesity
Psychiatric illness
Cardiac illness

Dietary advice, School meals
Green spaces,
Recreational facilities

Increase economic activity

Employment
Street crime
Educational attainment

Careers advice
Policing, CCTV
Schooling, Adult education

Safer roads

Road accidents

Traffic control, Signage

ce
en
u
infl
Policies

Policy

Metrics

determine

cha
nge
Services

Metrics structure
Metric
type

has
Metric
value

has

Date/
Time

At a point 2012
or
Over a period 2010-12
2011/12

has

Dimensions

Examples
•Age
•Gender
•Severity

has
Organis
ation

has

Example
•Norfolk County
Council
£75.3M

governs

Examples
•Miles of roads
•Road accidents
•Spending on roads

Σ EoE £573.2M
Σ England £208.8M

Area

Example 6,142.5 353
•Norfolk administrative area
•East of England 24,027.8 2,473
•England
183,003.4 21,534

Example data analysis
Full report: Live PDF

Socio-economic profiles
• Use statistical clustering techniques to see
which groups have similar metrics values
• Label these groups and describe their
characteristics
• Identify services and message which modify
outcomes for each

Where different groups live

http://insight.esd-toolkit.eu/

Small area metrics analysis

UK small area metrics report

Natural neighbourhoods
Unofficial geographies

URI

Further information
•
•

European / North Sea profiles http://insight.esd-toolkit.eu/
UK:
– Metric types http://id.esd.org.uk/list/metricTypes
– Dimensions (Circumstances) http://id.esd.org.uk/list/circumstances
– Municipalities http://opendatacommunities.org/data/local-authorities
– Administrative areas http://statistics.data.gov.uk/doc/statisticalgeography/
– Natural neighbourhoods: http://neighbourhoods.esd.org.uk/
– Tools http://about.esd.org.uk/

• Opening Up resources http://www.opening-up.eu/

Mike.Thacker@Porism.com

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Analysis of the socio-economic profiles in Europe

1. Geo-analysis for implementing policy Analysis of the socio-economic profiles in Europe Mike Thacker, Porism Limited (UK) Kortrijk – 20 November 2013

2. To discuss 1. Evidence-led policy 2. Metrics structures 3. Example data analysis by area 4. Socio-economic profiles 5. Profiling by area across Europe 6. Small area profiles 7. Natural neighbourhoods 8. Further information How open data applied to geography can influence and be used to implement policy

3. Evidence-led policy Policy Metrics Services Increase healthiness / quality of life Obesity Psychiatric illness Cardiac illness Dietary advice, School meals Green spaces, Recreational facilities Increase economic activity Employment Street crime Educational attainment Careers advice Policing, CCTV Schooling, Adult education Safer roads Road accidents Traffic control, Signage ce en u infl Policies Policy Metrics determine cha nge Services

4. Metrics structure Metric type has Metric value has Date/ Time At a point 2012 or Over a period 2010-12 2011/12 has Dimensions Examples •Age •Gender •Severity has Organis ation has Example •Norfolk County Council £75.3M governs Examples •Miles of roads •Road accidents •Spending on roads Σ EoE £573.2M Σ England £208.8M Area Example 6,142.5 353 •Norfolk administrative area •East of England 24,027.8 2,473 •England 183,003.4 21,534

5. Example data analysis Full report: Live PDF

6. Socio-economic profiles • Use statistical clustering techniques to see which groups have similar metrics values • Label these groups and describe their characteristics • Identify services and message which modify outcomes for each

7. Example: Metropolitan strugglers

8. Example: Rural inheritance

9. Where different groups live http://insight.esd-toolkit.eu/

10. Small area metrics analysis UK small area metrics report

11. Natural neighbourhoods Unofficial geographies URI

12. Further information • • European / North Sea profiles http://insight.esd-toolkit.eu/ UK: – Metric types http://id.esd.org.uk/list/metricTypes – Dimensions (Circumstances) http://id.esd.org.uk/list/circumstances – Municipalities http://opendatacommunities.org/data/local-authorities – Administrative areas http://statistics.data.gov.uk/doc/statisticalgeography/ – Natural neighbourhoods: http://neighbourhoods.esd.org.uk/ – Tools http://about.esd.org.uk/ • Opening Up resources http://www.opening-up.eu/ Mike.Thacker@Porism.com

Analysis of the socio-economic profiles in Europe

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