1. Visualizing Women Status: Developed vs. Developing Worlds
Saumya Bhatnagar

2. COUNTRY SELECTION AND CHOSEN VARIABLES
· Health
o Maternal Mortality
o Childbearing
o HIV/AIDS
· Families
o Legal Age of marriage, by gender
o Marriage
· Education
o Literacy
o Tertiary Education
· Work
o Distribution of labour force by status in employment
· Political decision making
o Percentage of parliament seats in Single or Lower chamber occupied by women
· United States of America (1)
· India (9)
· Portugal (45)
· Lebanon (80)
· Mozambique (112)
· Haiti (138)
· Bhutan (153)
The selection of the countries was done on the basis of their GDP (nominal) according to the list of the International Monetary Fund published for the year 2014.

3. HEALTH : Maternal and Infant Mortality

4. HEALTH : Maternal Mortality

5. OBSERVATIONS
Weak negative correlation between the GDP and the MMR that is, the higher the GDP, the lesser the MMR.
There is a weak negative correlation between GDP and infant mortality ratio
Extremely high linear positive relationship between the Maternal Mortality and Infant Mortality ratio

6. HEALTH: Childbearing

7. OBSERVATIONS
There is a weak negative linear correlation between adolescent fertility rate and GDP rankings among countries
there is a weak negative correlation between GDP and total fertility rate.
Extremely high positive linear correlation between adolescent fertility rate and maternal mortality and infant mortality

8. HEALTH: HIV/AIDS
There is no significant pattern between percentage of women suffering from HIV and the GDP of a country

9. FAMILIES: Legal Age of Marriage

10. FAMILIES: Legal Age of Marriage
There is no correlation between the GDP rankings and any of the 4 variables

11. FAMILIES: Marriage

12. FAMILIES: Marriage

13. OBSERVATIONS
GDP ranking and the mean age of marriage of women have a mild positive correlation that is, the higher the rank of a country, the higher the mean age, but it will still be less than the mean age of males which has no correlation with the GDP ranks of the countries.
There is also a mild negative linear correlation between the GDP ranking and the percentage of women between the age of 15 and 19 ever married, that is, the higher the ranking of a country, the lesser the percentage of women married, however, this shall still be more than the percentage of men ever married in the country, even though the percentage of men ever married has no correlation to the GDP rankings
There is a strongly positive linear correlation between the percentage of adolescent women married and the Maternal Mortality Ratio
There is a medium positive linear correlation between the percentage of adolescent women married and the women’s percentage share of HIV.

14. EDUCATION: Literacy
There is no correlation between GDP ranking of the countries and their countries’ adult literacy rate and youth literacy rate for men and women.

15. EDUCATION: Literacy

16. EDUCATION: Tertiary Enrolment

17. EDUCATION: Tertiary Enrolment

18. OBSERVATIONS
That gross enrolment ratio of men and women has a medium positive correlation to GDP
The percentage of women’s share at the tertiary education level has no correlation

19. WORK: Distribution of labour force by status in employment

20. OBSERVATIONS
We see that there is a mild positive correlation between the women employees and GDP as well as male employees and GDP
However, surprisingly, there seems to be a negative linear correlation between own account workers both male and female and the GDP rankings.
There is no correlation between contributing family members and the GDP.

21. POLITICAL DECISION MAKING
There is no correlation between GDP ranking of the countriesThe percentage of women in parliament

22. CONCLUSIONS
GDP has a slight influence on most Health variables such as MMR, IMR
GDP has slight influence on the variables which require implementation of certain laws under the Family's variable
Expecting GDP to affect all aspects of Education; doesn’t affect literacy but affects Gross Enrolment Ratio.
GDP affects number of female and male employees, but negatively affects own account workers
GDP has no effect on political participation