1. SECONDARY DATA ANALYSIS BOLIVIA VERONA 2001
I will present the results of VAM in Bolivia, trying to emphasise in the lessons learnt.

2. V=R-CC (Cuban Methodology) Inexistent
SDA 2000
SDA 2001
Model
V=R-CC (Cuban Methodology)
Inexistent
Methodology
Quantitative and Qualitative
Quantitative
PCA-Clustering

3. Variables Used SDA 2000

4. Drought

5. Frost

6. Flooding

7. Agricultural Potential

8. Forest Potential

9. Income

10. Physical Access

11. Number of persons per room

12. Illiteracy

13. Development index, relative to gender

14. Proportion of the population that seeks medical attention at health centers

15. Gap of unsatisfied basic needs between indigenous and Spanish speaking families

16. RISK OF UNEMPLOYMENT AND INFORMAL ACTIVITIES FOR CITIES

17. Variables Used SDA 2001

18. Outcome Indicators Poverty Index (% of the population) Income US$ PPA
Human Development Index
Unsatisfied Basic Needs (% of population)
Development index, relative to gender
(gap between men and women)

19. Independent Indicators
Proportion of the population with access to drinkable water
Number of doctors by population
Proportion of the population that seeks medical attention
at traditional doctors
at health centers
Accumulation of persons in
Population with shortage inadequate or improvised
Shortage of Services
Shortage of Sanitation Services
Shortage of Energy
Shortage of Education
Shortage of Access to Health Facilities
School attendance (measured in years)

20. Number of Primary Schools
Number of pupils at primary schools
Expenditures of municipalities in maternal care
Gap of unsatisfied basic needs between Indigenous
and Spanish speaking families
Total consultations per capita
Number of health posts
Number of basic support hospitals
Number of support hospitals
Number of service schools (pre-primary)
Number of pre-primary registered pupils
Number of service schools (secondary)
Number of secondary registered pupils

21. Number of service schools (superior)
Number of superior registered pupils
Number of service schools (alternative)
Number of alternative registered pupils
Total Investment in Agriculture 1994
Total Investment in Health 1994
Total Investment in Education 1994
Total Investment in basic reparation 1994
Total Investment in Agriculture 1995
Total Investment in Health 1995
Total Investment in Education 1995
Total Investment in basic reparation 1995
Total Investment in Agriculture 1996
Total Investment in Health 1996

22. Total Investment in Education 1996
Total Investment in basic reparation 1996
Total Investment in Agriculture 1997
Total Investment in Health 1997
Total Investment in Education 1997
Total Investment in basic reparation 1997
Total number of policlinics
Access to fluvial drainage 1994
Access to disposition of solid waste 1994
Number of industrial establishments
Number of financial establishments
Expenditures of municipios in gender related activities
Estimated number of organizations

23. Descriptive Indicators
Average altitude
Average yearly rainfall
Degree of urbanization
Population density
Urban NBI (population with unsatisfied basic needs)
Rural NBI
Population with satisfied basic needs (%)
Population living at the threshold of poverty (%)
Population living in moderated poverty (%)
Indigent population (%)
Marginal population (%)

24. Technically “questionable” Quality of the Information
SDA 2000
SDA 2001
Advantages
Easy to:
Understand
Establish the difference between a poverty map and traditional studies on food security
Technically accepted.
Problems
Technically “questionable”
Quality of the Information
Hard to understand for the government autorities
Not easy to establish the differences between poverty map and others
Information/ Qual/MVal

25. Appropriation of results.
SDA 2000
SDA 2001
Process
Broad and continuing participation of partners.
Results broadly disseminated
Without participation
Advantages
Results:
Technically Validated
Accepted and used (EBRP)
We can easily continue changing the results
Impact
WFP positioned as expert in Food Security.
WFP positioned as expert in Food Security
Problems
Institutionalisation
Appropriation of results.

26. RESULTS VAM 2000 AND SAF 2001

27. Results Why? General: Same Detail: Some differences
High correlations in the variables used in the SDA 2001.
Weighting by population in the SDA 2001

28. Combination of the both SDA