1. Human Migration and Health care synopsis in a global world
Santiago Arias, Kelton Fredric, Bernardo Gonzalez, Kayla Lockcuff

2. Background
Gross Domestic Product (GDP) commonly used as indicator of country’s status, effectiveness or appeal
Social Progress Index (SPI) is separate weighted combination of indicators based on holistic evaluation of country’s status
Want to compare indicators of country’s wellbeing with GDP and SPI to see correlation
Santi-

3. Methodology Search for data relevant to main goal
Select data indexes and parse through selecting 133 countries containing SPI values
Use geospatial analysis to compare indexes and create visual or numerical system to indicate trends or correlations
Create Metadata/interpret information regarding all correlations or trends
Draw conclusions using Metadata, visual aids, and geographical relations
Santi-

4. Scope
SPI (social progress index) obtained for roughly 133 countries used for comparison
GDP for all selected countries is obtained, along with GDP per capita in US Dollars
Total expenditure on health care as percentage of GDP is recorded for the selected countries
Net migration rate is obtained for the 133 countries
The SPI, GDP, Healthcare Exp, Infant Mortality and Net migration will be used for as many countries as possible and complementary data may be gathered.
Santi-

5. Main goal Net migration is connected to quality of life
Correlate SPI and net migration and verify an indicator linked to both GDP and quality of life
Use indicators to bridge gap between a national wealth, and quality of life
Determine trends, indicators, or logical connections of migrations to GDP, SPI, and geography
Correlate health care expenditure and overall health like infant mortality rate to net migration
Santi-

6. SPI BASICS
Santi-Net migration map shows which countries have the highest flux of people. We decided to see if there was a comparison between net migration and GDP/SPI of a country.
SPI trends are easily revealed by setting up classes or plotting them against other indicators such as GDP. A multitude of information can be made available through similar functions.

7. Net Migration vs. SPI
A clear Trend between SPI and Net Migration Rates.
SPI’s below75 tend to have an outflow of people
SPI’s above 75 all have an influx of people
Some outliers exist
A clear correlation exists, but what drives it? SPI considers many aspects of human life. So this trend is expected but can now be quantified.

8. Net Migration vs GDP per capita
Much like SPI net migrations tend towards positive for more prosperous conditions. Low GDP per capita outliers may be due to anomalies, such as war and famine.

9. Net migration Map
ArcMap classes can reveal much about geographical trends or allow one to make inferences.
The map reveals high influxes of people in certain regions, and areas of outflux. Much of Africa has a negative net migration rate. (Correlates to low SPI and GDP values)

10. Net Migration and SPI explained
X-Y scatterplot correlates between SPI and Migration rates, but cannot give information about geographical trends directly
The information provided from a class map of many nations reveals trends regionally and can empower users to make more educated inferences about what drives these migration rates
Classically high emigration rates of African nations are linked to low SPI and GDP values

11. GDP Per Capita
GDP per capita measures theoretical avg distribution of wealth
Correlates more effectively with SPI than raw GDP
Concentrations of wealth exists but are negligible
Kayla-
Helps to indicate expendable income of population

12. GDP per Capita
Kayla-follows same trends as SPI and GDP, closely tied to net migrations
Trends in GDP per capita are clearly tied with geographical location. The red countries are those with a the lowest GDP per capita, and vice-versa for the green countries.

13. Health Care Expenditure
Displays correlation with increasing per capita health care spending there is increasing life expectancy
Most 3rd world countries have lower life expectancies
Kayla- Sum up graph-
Linked to gdp per capita because wealth of citizens enable them to spend so much towards healthcare.
US The United States of America is somewhat of an outlier because of its enormous GDP and percent GDP spent on healthcare and the lack of clear health benefits. The US does not exhibit an increase in life expectancy that would be expected for such considerable expenditures. This problem arises from a cultural problem not indicated by our graphs or data provided. A cultural epidemic of obesity and sedentary lifestyle has been blamed for the unusual health problem in the US. And although this is not indicated directly by our data, our analysis reveals the US’s deviation from the rest of the data and could lead one to seek out the reason for such a break from the trend

14. Health Care Expenditure
Shows developed countries tend to dedicate a larger portion of GDP to heath care
Asia has some of the least GDP dedicated to health care
Kayla-Total expenditure as a % of GDP
Health care expenditure is correlated to high SPI, GDP, and GDP per capita, doesn’t guarantee actual health benefits which is why we decided to compare with infant mortality
(Reason missing countries data missing from data set)

15. Health Care vs. Infant Mortality
Clear correlation between GDP percentage towards healthcare and infant mortality
Nations with higher infant mortality have lower percentages of GDP towards health care
Kayla-Africa has low health care correlating with higher infant mortality rates
US and western europe higher health care lower infant mortality

16. Infant Mortality vs. GDP per capita
Bernie
Infant mortality also correlates strongly with GDP per capita because both are so highly tied to health care expenditure

17. Endemic Problems
Bernie-
Symptoms like net migration and indicators like SPI, GDP per capita, and health care can reveal deep social issues with strong regional ties such as infant mortality

18. Conclusion
Many problems are endemic to regions, this may be due to geographic or cultural factors.
Health care is a considerably higher priority in the developed world, leading to lower infant mortality
Human migration patterns often follow regional trends. Emigrants tend to move to adjoining countries, so the rates tend to lessen farther out from a high outflux country.
US deviation from GDP per capita vs. life exp. due to endemic obesity, suggests outliers hint to unseen causes
Kelton

19. Questions?