SECONDARY DATA ANALYSISSECONDARY DATA ANALYSIS BOLIVIA BOLIVIA

VERONA VERONA 200 20011

  SDA 2000 SDA 2001

ModelV=R-CC (Cuban

Methodology)Inexistent

MethodologyQuantitative and

Qualitative 

QuantitativePCA-Clustering

Variables Used

SDA 2000

Drought

Frost

Flooding

Agricultural Potential

Forest Potential

Income

Physical Access

Number of persons per

room

Illiteracy

Development index, relative

to gender

Proportion of the population that seeks medical

attention at health centers

Gap of unsatisfied basic needs between

indigenous and Spanish speaking

families

0,2500,2700,2900,3100,3300,3500,3700,390

Ciudad

Riesgo

RISK OF UNEMPLOYMENT AND

INFORMAL ACTIVITIES FOR CITIES

Variables Used

SDA 2001

 

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)

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• Proportion of the population that seeks medical attention 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)

• 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

• 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

• 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

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 (%)

  SDA 2000 SDA 2001

Advantages

Easy to:UnderstandEstablish 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 autoritiesNot easy to establish the differences between poverty map and othersInformation/ Qual/MVal

  SDA 2000 SDA 2001

Process Broad and continuing participation of partners.Results broadly disseminated

Without participation

Advantages Results:Technically ValidatedAccepted 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 Appropriation of results.Institutionalisation

RESULTS VAM 2000 AND SAF 2001RESULTS VAM 2000 AND SAF 2001

ResultsResults

General: Same

Detail: Some differences

Why?Why?High correlations in the variables used

in the SDA 2001.

Weighting by population in the SDA 2001

Combination of the both SDACombination of the both SDA