Briève analyse de données pour déterminer le taux de pauvreté dans les zones rurale et urbaine. Cette analyse donne un aperçu sur la variation de la pauvreté les caractéristiques socio-démographiques. NB: Source des données non précisée ici.

1. Center for Development
Research University Bonn
ZEF Bonn
West African Science Service Center
on Climate Change and Adapted
Land Use
CHEIKH ANTA DIOP UNIVERSITY OF DAKAR
PhD IN ECONOMICS OF CLIMATE CHANGE
Presented by:
Mouhamadou Lamine NDIMBLANE Supervisor:
Professor Jonathan Haughton,
Professor of economics, Suffolk University
April 2020
POVERTY ANALYSIS
Using ADePT to process data from a dataset

2. 6 4 2 0 2 4 6
0-5
10-15
20-25
30-35
40-45
50-55
60-65
70-75
80-85
90-95
Share in total population, %
Age
in
years
Figure 1: Age-Gender Pyramid and Poverty
Poor females Poor males Females Males

3. Table 1: Headcount Ratio by Demographic Composition
Poverty
Headcount
Rate
Distribution
of the Poor
Distribution
of Population
Data1 Data1 Data1
Poverty line = pline_l
Number of children 0-6 years old
no children 9.0 77.2 77.8
1 8.6 14.7 15.6
2 10.6 6.8 5.9
3 or more children 14.5 1.2 0.8
Household size
1 12.8 8.0 5.7
2 10.1 17.8 16.1
3 6.5 13.9 19.3
4 6.5 20.1 28.2
5 9.4 14.5 14.0
6 10.8 11.7 9.9
7 or more 18.5 13.9 6.8
Total 9.1 100.0 100.0

4. Table 2: Changes in the Probability of Being in Poverty (percent)
Data1
Urban Rural
Demographic event, child born in the family:
Change from having no children 0-6 years old to having
1 child
-2.4 9.7
Change from having no children 0-6 years old to having
2 children
9.0 19.8