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MapInfo an introduction

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Joint Centre for Scottish Housing Research. Overview of Presentation ... Rough Sleeper Surveys. Issues to be confronted. Definition. Missing Data. Data Sources ... – PowerPoint PPT presentation

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Title: MapInfo an introduction


1
Joint Centre for Scottish Housing Research
European Typology on Homelessness and
Housing Exclusion
2
Overview of Presentation
  • The NAPs/Inclusion Indicators
  • Housing Exclusion Conceptual Model
  • Operational and Measurement Issues
  • Comparative / EU- level Issues
  • Next Steps

3
Suggested Primary EU Indicators for Social
Inclusion
4
Spheres of Housing Exclusion
5
Domains of Housing Exclusion
6
ETHOS Definition
  • Rough Sleeping
  • Night shelter
  • Roofless
  • Houseless
  • Hostel / temporary accommodation
  • Womens shelter
  • Asylum / immigrants shelters
  • Institutional release
  • Supported housing
  • Insecure Housing
  • No tenancy
  • Eviction orders
  • Violence / threat
  • Inadequately Housed
  • Temporary / illegal structures
  • Overcrowding
  • Unfit for habitation

7
Factors leading to Homelessness
8
more
Central Europe
Southern Europe
Atlantic
H O U S I N G P R O B L E M S
Continental
more
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Cyprus Malta ??
Nordic Netherlands
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SUPPORT PROBLEMS
9
Official Data Sources EU-15
10
Issues to be confronted
  • Definition
  • Missing Data
  • Data Sources
  • Measurement
  • Womens Aid
  • Hostel definition
  • All countries
  • E.g. Evictions
  • Hidden homelessness
  • Official / NGO
  • Hsg/Social/Justice
  • Double counting
  • Stock/Flow/Prevalence
  • Frequency / Regularity

11
Developing ETHOS
  • Refining the Operational sub-categories
  • Identifying data sources and definitions in each
    sub-category by country
  • Nomenclature of living situations in each country
  • Hostel
  • Temporary accommodation
  • Transitional / supported accommodation

12
Next Steps in Data Collection- ETHOS Categories
  • Clarify Policy Uses
  • Stock, Flow and Prevalence data
  • Possible Indicator (EU / National)
  • Make better use of NGO data
  • Requires national database of Service Providers
  • Flow Data (IT solution)
  • Core Variables
  • Breakdown by gender, age, ethnicity
  • Causes / pathways
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