1. Drawing and applying poverty maps The Hungarian case
Open Society Foundations
Making the Most of EU Funds for Roma initiative
15 Dec 2011

2. Settlement (LAU2, NUTS5) or Micro-region (LAU1, NUTS4)
Mapping at 2 levels
Settlement (LAU2, NUTS5) or
sub-settlement
Micro-region (LAU1, NUTS4)
3.200 settlements in HU;
average population besides Bp 2.500;
sub-settlement level for those over 2.000
174 settlements in HU;
population besides Bp
aim: classification of segregated areas;
share of people without more than primary education and without employment over 50%
aim: classification of all areas;
80 more developed,
47 less developed (below average),
14 least developed (bottom 15%),
33 least developed with integrated programme (bottom 10%)
2 social indicators
31 social, economic and infrastructural indicators
used for integrated urban development strategies, etc.
used for the integrated programme of the less developed micro-regions, etc.

3. Indicators Settlement level: Micro-region level:
2 social: education (primary school), employment
Micro-region level:
14 social:
6 income, property, demography, etc.: income, flat, car, migration, mortality, urbanisation
5 poverty, etc.: education (secondary school), unemployed households, social assistance, child protection assistance, aging index
3 employment: unemployment, long term unemployment, activity
8 economic: number and change in number of enterprises, agriculture, services, tourism, retail, research, tax income
9 infrastructural: piped water, sewage, gas, waste collection, road and motorway accessibility, phone, cable TV, broadband internet
Foreseen change: smaller number of indicators, more focus on social indicators

4. Indicators – *census data
Settlement level:
2 social: education (primary school)*, employment
Micro-region level:
14 social:
6 income, property, demography, etc.: income, flat, car, migration, mortality, urbanisation
5 poverty, etc.: education (secondary school)*, unemployed households*, social assistance, child protection assistance, aging index
3 employment: unemployment, long term unemployment, activity*
8 economic: number and change in number of enterprises, agriculture*, services*, tourism, retail, research, tax income
9 infrastructural: piped water, sewage, gas, waste collection, road and motorway accessibility, phone, cable TV, broadband internet
Foreseen change: smaller number of indicators, more focus on social indicators

5. People without more than primary education and without employment
Ózd, Hungary
Area
Population
People without more than
primary education and without employment
Ózd
38.405
26%
Segregated area no 10
1.655
61%
Segregated area no 8
1.120
59%
Segregated area no 3
711
53%
Segregated area no 7
638
75%

6. Segregated area no 7, Ózd, Hungary

7. Ranking micro-regions

8. dark green: least developed micro-regions with integrated programme (33)
medium green: least developed micro-regions (14)
light green: less developed micro-regions (47)
striped: micro-regions with high rate of Roma, census data (44)

9. Territorial targeting of funds
Funding
300 meur, 1% of NSRF
From 8 OPs
Directly: 4 Regional OPs (ERDF), Social infra OP (ERDF), Social renewal OP (ESF)
Indirectly: State reform OP (ESF), Implementation OP (CF)
Allocation to each micro-region, 5-15 meur (based on No of population and settlements) – difference compared to comprehensive approach
Coordination
No formal power
Informal organisational and personal power, coordination unit as all OP MAs in National Development Agency – difference compared to comprehensive approach
Challenges
Lack of support from OP MAs (allocation, specific conditions)
Time

10. Per capita funding of least developed micro-regions

11. Per capita funding of least developed micro-regions

12. Per capita funding of least developed micro-regions

13. Equal opportunities guarantees
Tools
Planning, project generation
Roma inclusion among main objectives of the programme
Involvement of local Roma leaders
Involvement of equal opportunities experts, commissioned by the coordination unit
Mapping of segregated areas, preparation of equal opportunities analysis and plans
Initial project selection
Equal opportunities among main criteria of assessment of plans and project ideas
Involvement of equal opportunities experts
2 weakest plans sent back for revision
A number of projects selected from reserve list
Project preparation
Initial project selection with draft project ideas (3 pages each)
Specific conditions for project selection
Cooperation with MtM in project preparation
Results
Intervention does not increase internal differences in any micro-region, decreases internal differences in 1/3 of the micro-regions
Around 40 meur, 13% with direct Roma inclusion or equal opportunities impact

14. Thanks for your attention http://mtm. osi
Thanks for your attention Where the Paved Road Ends