measuring social progress in communities
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Measuring social progress in communities. Today. About Social Life Measuring wellbeing at the local level WP9 Pan-European stocktake Case studies Key findings What next ?. About Social Life. The Young Foundation. Social Life. Measuring wellbeing at a local level. - PowerPoint PPT PresentationTRANSCRIPT
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E-Frame conference, Amsterdam, 09.02.14
Measuring social progress in communities
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Today
1. About Social Life2. Measuring wellbeing at the local level3. WP94. Pan-European stocktake5. Case studies6. Key findings7. What next?
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About Social Life
The Young Foundation Social Life
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Measuring wellbeing at a local level
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Five stages of WARM (first version)
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Slide 6
WARM in Ardwick, Manchester
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WP9: Work package stages
Stage oneYoung Foundation
Inventory of pan-European indicators
Stage twoYoung Foundation
Case Studies in Barcelona & Malmö
Stage threeUNISI & UNIPI
Convene expert workshop
Stage fourYoung Foundation
Report & recommendations
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Pan-European stocktake
National levelPan-European country level data
Regional level (NUTS 1-5)European sub-country level units
Data for: England, Ireland, France, Spain, Sweden
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Stocktaking
Measure Key terms & concepts Indicator SP SE FR EN IELife satisfaction
Self-assessed life satisfaction; happiness
All things considered, how satisfied are you with your life as a whole nowadays?
1 3 1 3 1
Education Participating in further or higher education
Participation of 17 year olds in education or training
3 3 3 3 3
Education Young people who are unemployed and not in education
16 to 18 year olds who are not in education, training or employment
3 3 3 3 3
Education Per cent of population completed higher education
% of the population whose highest qualification is a first degree (or equivalent)
3 3 3 3 3
Education Per cent of population with no or low qualifications
Adults (25-54) With No or Low Qualification Rate (Persons, %)
3 2 3 3 3
Health People with long-term poor health e.g. cancer; depression - of working age (16 to 65)
People of working age with a limiting long-term illness (Persons, Percentage)
2 3 2 3 3
Health Good health General health: Good (Persons, %)
3 3 1 3 1
Health Subjective or self-assessed levels of health
Self-reported measure of people's overall health and wellbeing
3 3 1 3 3
Material wellbeing
Per cent of people unemployed
Unemployment rate (Persons, %)
3 3 3 3 3
Material wellbeing
Per cent of people receiving benefits for unemployment
Claimants for Less than 12 Months - Rate (Persons, %)
1 2 2 3 1
RAG rating: 3 = Data exists. 2 = proxy indicator exists, 1 = Indicator does not exist.
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Methodological challenges:
• NUTS are problematic at local level• Multiple geographical units• Timeliness• Cultural differences• Robustness & sample size• Data availability and co-ordination between agencies places limitations on what can be done.
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Case studies
What does resilience and wellbeing mean in other neighbourhoods in Europe?
Local Level dataInventory of pan-European indicators
Les Roquetes (Barcelona) & Lindängen (Malmö)
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Lindängen, Malmö, Sweden
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Les Roquetes, Barcelona, Spain
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Key findings from case studies
The data wasn’t capturing the strengths and needs in both these areas. For example:
• Sense of belonging to the local area• Volunteering• Ability to influence local decisions• Social capital• Financial security
This makes it difficult for local agencies to act accordingly
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Overall findings
• Country level data maps to WARM framework
• The larger the spatial unit, the more data there is available
• More data at individual level (eg. education, health, employment) rather than collective level (eg. neighbourliness, sense of belonging to local area)
• Local level wellbeing and resilience is often invisible in data
Therefore…
• Need to bridge top-down and bottom-up data collection
• Local agencies need to collectively find ways to capture this data
• Need to think of a role for crowd-sourced locally generated data
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Resilience Wellbeing
WARM version 2, using predictive data from national surveys
What next?
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A framework for social sustainability
Social Life Social Sustainability Framework, 2011
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[email protected]@social-life.co www.social-life.co @SL_Cities