Workshop D

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National data local knowledge NDC National
Evaluation
Workshop D Understanding Worklessness data Case
study Clapham Park NDC
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Workshop D. Understanding worklessness dataCase
studyClapham Park Project NDC
5th December 2006 National Data Local
Knowledge Simon Griffiths, Evaluation Strategy
Manager
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Drilling down worklessness data

• Key issues - opportunities constraints
• Neighbourhood-wide data
• Cross-theme data
• Project data

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Neighbourhood-wide data

• SDRC worklessness data
• Clearly defined, regular, consistent, geo-coded
  time-series data
• Distinguishing counts, rates benefits
• Time constraints - responsiveness to
  interventions
• Formatting - ease of use, interpretation
• Unlocking worklessness ethnicity trends
• Influences of the informal / criminal economy?
• Job Centre Plus data
• Central JCP provision NDC snapshots
• Claimants by benefit, age, gender, duration,
  disability, lone parents
• Local JCP provision?

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Neighbourhood-wide data

• MORI Household Survey data
• Drilling down age, gender, ethnicity,
  generational worklessness, job type, hours
  worked, self-employment
• Strategic opportunities getting a job, computer
  access internet use
• Barriers to employment numeracy literacy,
  skills, qualifications, ESOL
• Cross-cutting barriers mobility, childcare
  provision, refugee status, mental well-being,
  health, housing
• Data health warning sample sizes, market
  research limitations, externalities
• Tracking change tracking movers long-term
  sustainability of outcomes?

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Cross-theme data

• Cross-theme project data
• Mental well-being (Timebank) Project
• Volunteering Scheme
• Sustaining Communities Independence Programme,
  Community Support Project (St. Giles Housing
  Trust)
• Clapham Park Homes
• Youth Programme / Forum

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Project data

• Employment-focused projects
• Defining target groups distance from the labour
  market
• Defining outputs consistency/common
  understanding
• Individual baselines where come from?
• Key drivers barriers
• Monitoring progress milestones
• Assessing value added of interventions
• Shared intelligence complementary learning /
  outputs
• Tracking the sustainability of outcomes

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Top 3?

• Wider view of worklessness
• Multi-sourced multi-faceted evidence base
• Impact of externalities

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