1. Poverty Accessibility to Resources & Services Around the World
A GIS Analysis by:
Piecora, Patterson, Ledo-Massey & Alverez
A GIS Analysis by:
Katie Piecora
Keith Patterson
Rafaella Ledo-Massey
Jarily Alverez

2. DEPRIVATION IN WELL-BEING
Low Income
Lack of Clean Water
Lack of Basic Services
Lack of Basic Goods
No opportunity to better one’s life
Low Sanitation
DEPRIVATION IN WELL-BEING
Limited Health Care
No Voice
No Surviving Dignity
Inadequate Physical Security
Limited Education
Poverty Defined

3. 0%
1-16%
17-23%
24-30%
Poverty Map
31-42%
43-57%
58-88%
Problem
Many countries have more people living in extreme poverty than above the poverty line

4. Areas of Poverty = Lowest access to services needed for “Wellbeing”
Areas of poverty have the lowest access to the services necessary to fulfill the
“Foundations of Wellbeing” (nutritious food, primary education, and health care) in comparison
to middle and high income areas.
Hypothesis

5. Scope Evaluation of basic resources and services in high poverty areas
Due to the unavailability of indicators such as international grocery stores/marketplaces, international primary school locations, and international health care systems, other related indicators were implemented.
The agricultural land indicator represented access to food (assuming that all countries use their agricultural lands to feed the people of that country and no import or export takes place).
Female and male literacy indicators were used to evaluate primary education.
And lastly, a life expectancy indicator was used to represent access to health services.
Scope
Evaluation of basic resources and services in high poverty areas

6. Creating New Agriculture Indicator
Shapefile:
New Indicator Boundary (World)
Percentage of Agricultural Lands Shapefile
Join
Export
Clean Excel file to match world shapefile
Export new joined table as a new shapefile named Percentage of Agricultural Lands
Join “Country Name” field for World shapefile and Agricultural excel file B
Excel File:
Percentage of Agricultural Lands (World Bank)
Creating New Agriculture Indicator

7. Food Agricultural Land Indicator 1-15 16-26 27-39 40-52 53-65 66-82
1-15
This map contains data on the percentage of land used for agriculture. Our team created this indicator using data from the USDA database. By cleaning up the excel file to match the country names in the world shapefile, we were able to join the tables and create the food test indicator.
Lightest areas are in Africa=BAD
16-26
27-39
40-52
53-65
66-82

8. Primary Education Male & Female Literacy Male Female 1-41 42-65 66-82
This map contains data on the percentage of land used for agriculture. Our team created this indicator using data from the USDA database. By cleaning up the excel file to match the country names in the world shapefile, we were able to join the tables and create the food test indicator.
Africa and South Asia have the lowest literacy rates based on our data
1-41
42-65
66-82
83-89
90-95
96-100

9. Health Care Life Expectancy 1-56 57-65 66-71 72-75 76-79 80-83
1-56
This map shows data on life expectancy in every country.
Again with Africa by far having the lowest life expectancy and therefore health care
57-65
66-71
72-75
76-79
80-83

10. 5 maps to analyze relationships between 3 indicators and % of poverty
Objectives

11. Development of Indicators
Parcels
Union
Reclassify
Food Map
Acquire Parcels (.shp)
Percentage in Poverty
Percentage of Agricultural lands
Union Percentage in Poverty with Percentage of Agricultural lands using the “Country” field
Reclassify Symbology ranges to contain 6 classes and change color to green
Parcels
Union
Reclassify
Education Map
Acquire Parcels (.shp)
Percentage in Poverty
Male Literacy
Female Literacy
Union Percentage in Poverty with literacy rates of male and female using the “Country” field
Reclassify Symbology ranges to contain 6 classes and change color to blue
Parcels
Union
Reclassify
Healthcare Map
Acquire Parcels (.shp)
Percentage in Poverty
Life Expectancy
Union Percentage in Poverty with Life Expectancy using the “Country” Field
Reclassify Symbology ranges to contain 6 classes and change color to orange
Development of Indicators

12. Agriculture Percentage & Poverty1 2 3 4 5 6
Agriculture Percentage & Poverty

13. Life Expectancy & Poverty1 2 3 4 5 6
indicated a relationship between countries with high percentages of poverty and low life expectancy.
Areas of significance include Central and West African countries with final ranks in the 4-6 range
Mexico with a final rank of 3-4.
Colombia, Bolivia, Paraguay, Afghanistan, and Mongolia also showed significant results with final ranks in the 4-6 range.
Life Expectancy & Poverty

14. 1 2 3 4 5 6
shows a strong correlation between countries with high percentages of poverty and low literacy rates.
Areas of interest include Central and West Africa with numerous countries earning a final rank in the 5-6 range,
Mexico with a final rank of 3-4
Middle East and Malaysia with final ranks ranging from 3-6.
Countries with a final rank of 0 did not supply any literacy data.
Literacy & Poverty

15. Development of Overall Map
Parcels
Union
Reclassify
Overall Map
Acquire Parcels (.shp)
Percentage in Poverty
Percentage of Agricultural Lands
Literacy Rates (Female/Male)
Life Expectancy
Union Overall Map =
PercofPoverty
+PercofAg
+FemaleLiteracy/MaleLieracy
+LifeExpectancy
Reclassify Symbology ranges to contain 6 classes and change color to grey
Development of Overall Map

16. All Indicators + Poverty1 2 3 4 5 6
Countries with the final rank of 0 either had no data supplied for
one or more of the test indicators or showed no correlation between the indicators. A final rank
of 6 indicates a strong correlation between high percent poverty, low access to food, low access
to primary education, and low access to health care services in those countries.
All Indicators + Poverty

17. Hypothesis Supported Conclusion POVERTY high % HEALTH PRIMARY CARE
EDUCATION
FOOD
significant correlations between countries with high percentage of poverty and low percentage of agricultural land, literacy rates, and life expectancy.
support the hypothesis in that areas with high poverty have limited access to nutritious food, primary education, and health care services.
This lack of access to services, prevents these regions from fulfilling The Social Progress Imperative’s “Foundations of Well­Being” Index and, therefore, denies them access to the potentials granted by the “Opportunity” Index.
low %
Conclusion

18. and the poverty cycle goes on …
This lack of access to services, prevents these regions from fulfilling The Social Progress Imperative’s “Foundations of Well­Being” Index and, therefore, denies them access to the potentials granted by the “Opportunity” Index.
and the poverty cycle goes on …