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Statistic Powerpoint

  1. 1. UGANDA
  2. 2. Background Information <ul><li>GDP: $37.2726 billion </li></ul><ul><li>Population:32,369,558 people </li></ul>
  3. 3. Human Development Index <ul><li>HDI: 0. 493 (156 th out of 179 countries) </li></ul><ul><li>Literacy Rate : 72.6% </li></ul><ul><ul><li>Male: 76.8% </li></ul></ul><ul><ul><li>Female: 57.7% </li></ul></ul><ul><li>GDP per Capita:$1100 (2008) </li></ul><ul><li>Life Expectancy: 52.72 years old </li></ul><ul><ul><li>Male: 51.66 years old </li></ul></ul><ul><ul><li>Female: 53.81 years old </li></ul></ul>
  4. 4. Gender Disparities <ul><li>Male are dominant over females </li></ul>
  5. 5. Human Poverty Index <ul><li>Literary Rate: 72.6% </li></ul><ul><li>Population without access to clean water: 40% </li></ul><ul><li>Children underweight for their age: 23% </li></ul>
  6. 6. Lorenz Curve <ul><li>Gini Coefficient: 45.7 </li></ul>
  7. 7. Conclusion <ul><li>Uganda is one of the low human development countries, one of the main reasons for such poverty is AIDS. </li></ul><ul><li>Stat: The large number of AIDS related deaths amongst young adults has left behind over a million orphaned children </li></ul>
  8. 9. GDP: 5.2% GDP/per capita: $10,100 Population: 198,739,269 Human Development Index Literacy Rate (age over 15 who can read/write ) : total population: 88.6% male: 88.4% female: 88.8% Life Expectancy: total population: 71.99 years male: 68.43 years female: 75.73 years
  9. 10. Gender Issues Sex Ratio: at birth: 1.05 male/female under 15 years: 1.04 male/female 15-64 years: 0.98 male/female 65 years and over: 0.73 male/female total population: 0.98 male/female
  10. 11. H uman P overty I ndex Population without access to clean water: While 20% of the Brazilian population (about 37 million people) lacks access to potable water, in rural areas the portion rises to 90% without proper sanitation, including access to clean drinking water. The crisis reaches into the periphery of the cities .( http://www.landaction.org/display.php?article=271 ) Children underweight for their age:
  11. 12. A low Gini coefficient indicates more equal income or wealth distribution, while a high Gini coefficient indicates more unequal distribution. 0 corresponds to perfect equality (everyone having exactly the same income) and 1 corresponds to perfect inequality (where one person has all the income, while everyone else has zero income). Lorenz Curve Gini coefficient: 56.7
  12. 13. Conclusion It is a BRIC country which refers to the fast growing developing economies of Brazil, Russia, India and China. Still a developing nation Relatively low school life expectancy
  13. 14. PAKISTAN
  14. 15. GDP, Population <ul><li>GDP: $504.3 billion </li></ul><ul><li>GDP growth rate: 5.8% </li></ul><ul><li>GDP per capita: 2,361 </li></ul><ul><li>Population: 176,242,949 </li></ul>
  15. 16. Human Development Index <ul><li>Literacy rate: definition: age 15 and over can read and write </li></ul><ul><ul><ul><li>total population: 49.9% </li></ul></ul></ul><ul><ul><ul><li>male: 63% </li></ul></ul></ul><ul><ul><ul><li>female: 36% </li></ul></ul></ul><ul><li>Life expectancy: </li></ul><ul><ul><ul><li>Total population: 64 years </li></ul></ul></ul><ul><ul><ul><li>Male: 63 years </li></ul></ul></ul><ul><ul><ul><li>Female: 66 years </li></ul></ul></ul>
  16. 17. Gender Issues <ul><li>Gender disparities </li></ul><ul><ul><li>Deeply rooted cultural </li></ul></ul><ul><ul><li>cultural and religious values </li></ul></ul><ul><li>total population: 1.04 male(s)/female </li></ul><ul><li>at birth: 1.05 male(s)/female </li></ul>
  17. 18. Human Poverty Index <ul><li>Probability or not surviving through 40: </li></ul><ul><ul><ul><li>15.4 percent </li></ul></ul></ul><ul><li>Illiteracy rate: 50.1% </li></ul><ul><li>Population without access to clean water: 9% </li></ul><ul><li>Children underweight for their age: 38% </li></ul>
  18. 19. Lorenz Curve <ul><li>Lorenz Curve is a curve that illustrates income distribution. </li></ul><ul><li>Distribution of income - Gini Coefficient: a measure of inequality of income distribution or inequality of wealth distribution. </li></ul><ul><li>30.6 </li></ul>
  19. 20. Conclusions <ul><li>A developing country </li></ul><ul><ul><li>Still gender issues involved </li></ul></ul><ul><ul><li>Illiteracy rate is high </li></ul></ul><ul><ul><li>Children underweight </li></ul></ul>
  20. 21. Bibliogrpahy <ul><li>http://people.hofstra.edu/geotrans/eng/ch4en/meth4en/ch4m1en.html </li></ul><ul><li>http://en.wikipedia.org/wiki/Economy_of_Pakistan </li></ul><ul><li>http://en.wikipedia.org/wiki/List_of_countries_by_income_equality </li></ul><ul><li>https://www.cia.gov/library/publications/the-world-factbook/geos/pk.html </li></ul>
  21. 22. Development and Statistic Presentation Japan Jim Tseng
  22. 23. <ul><li>GDP </li></ul><ul><ul><li>GDP (official exchange rate) is $4.844 trillion (2008 est.) </li></ul></ul><ul><li>Population </li></ul><ul><ul><li>127,078,679 </li></ul></ul><ul><ul><li>0-14 years: 13.5% </li></ul></ul><ul><ul><li>15-64 years: 64.3% 65 years and over: 22.2% (2009 est.) </li></ul></ul>
  23. 24. Human Development Index <ul><li>Literacy Rate </li></ul><ul><ul><li>99% </li></ul></ul><ul><li>GDP/capita </li></ul><ul><ul><li>GDP per capita (PPP US$) 2006 is (no.24) 31,951 </li></ul></ul><ul><li>Life expectancy </li></ul><ul><ul><li>Total population: 82.12 years </li></ul></ul>
  24. 26. Gender Issues <ul><li>Japan’s GDI value is 98.7% of its HDI value. </li></ul><ul><li>Life expectancy </li></ul><ul><ul><li>Total population: 82.12 years male: 78.8 years female: 85.62 years </li></ul></ul><ul><li>Combined primary, secondary and tertiary gross enrolment ratio (female as % male) </li></ul><ul><ul><li>97.4% </li></ul></ul>
  25. 27. <ul><li>Human Poverty Index </li></ul><ul><li>Life expectancy for Total population: 82.12 years </li></ul><ul><li>Literacy rate is 99% </li></ul>
  26. 29. <ul><li>A Gini coefficient is a summary numerical measure of how unequally one variable is related to another. </li></ul><ul><li>The Gini index is the Gini coefficient expressed as a percentage, and is equal to the Gini coefficient multiplied by 100. </li></ul>
  27. 30. Gini Index: 0 represents perfect economic equality, and 100 perfect inequality United States 40.8 China 44.7 Venezuela 44.1 Argentina 52.8 Iran 43.0 Cambodia 40.4 Brazil 58.0 Mexico 47.3 Colombia 58.6 Thailand 42.0 Ethiopia 30.0 Germany 28.3 France 32.7 Italy 36.0 Spain 34.7 Hungary 26.9 Canada 32.6 India 32.5 South Korea 31.6 Japan 24.9
  28. 31. Fairness of Income Distribution <ul><li>The Gini coefficient for the entire world has been estimated by various parties to be between 0.56 and 0.66. </li></ul><ul><li>Most developed European nations have Gini coefficients between 0.24 and 0.36, Japanese has a Gini coefficient below 0.25, indicating that Japan’s income distribution is quite balanced. </li></ul>
  29. 33. Source <ul><li>Websites </li></ul><ul><li>https://www.cia.gov/library/publications/the-world-factbook/geos/ja.html </li></ul><ul><li>http://hdrstats.undp.org/2008/countries/country_fact_sheets/cty_fs_JPN.html </li></ul><ul><li>http://bengal.missouri.edu/~matthewss/AgEc3257/Lorenz%20and%20Gini.ppt </li></ul><ul><li>PPT </li></ul><ul><li>Earth Trends- Country profiles- Economic Indicators Japan </li></ul>
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