Retrieve the following data from The World Bank database (http://databank.worldbank.org/data/home.aspx) for India, Spain, and South Africa for the most recent year available:
- GDP in constant international dollars or PPP
- Population
- GDP per person in constant international dollars
- Mortality rate, infant (per 1,000 live births)
- Health expenditure per capita (current U.S. dollars)
- Life expectancy at birth, total (years)
Prepare a chart that compares India, Spain, and South Africa based on the data you find. Describe the key differences between the countries. Rank these as high-, medium-, and low-income countries, explain what is surprising or expected about this data.
Use the Rule of 72 to estimate how long it will take for India, Spain, and South Africa to double their standards of living.
Using the research skills you have acquired, retrieve the following data from The World Bank database (http://databank.worldbank.org/data/home.aspx) for India, Spain, and South Africa for 2010–2015, if available:
- Telephone lines
- Mobile cellular subscriptions
- Secure Internet servers (per one million people)
- Electricity production (kWh)
Prepare a chart that compares these three countries. Describe the key differences between the countries.
Retrieve the unemployment data from The World Bank database (http://databank.worldbank.org/data/home.aspx) for India, Spain, and South Africa for 2011-2015. Prepare a chart that compares India, Spain, and South Africa based on the data. Describe the key differences between the countries. Rank these countries as high-, medium-, and low-income countries. Explain what is surprising or expected about this data. How did the Great Recession impact these countries?
Retrieve inflation data from The World Bank data base (http://databank.worldbank.org/data/home.aspx) for India, Spain, and South Africa for 2011–2015. Prepare a chart that compares India, Spain, and South Africa based on the data. Describe the key differences between the countries. Rank these countries as high-, medium-, and low-income. Explain what is surprising or expected about the data.