Net enrollment is the number of pupils of the school-age group for primary education, enrolled either in primary or secondary education, expressed as a percentage of the total population in that age group. The plot shows the enrollment rate for different groups of countries from the year 1970 to 2018. There is a significant rise in the net enrollment for females for primary education from 1970 to 2018.
For all the countries in the world, the enrollment rate was around 65% in 1970 which is around 90% in 2018. The following groups have more than 95% net enrollment for females for primary education: European Union, OECD members, Europe & Central Asia, High income, East Asia & PacificLatin, America & Caribbean.
The plot shows the effect of GDP on CO2 emissions(metric tons per capita) in log scale across all countries from the year 1980 to 2014. Gross Domestic Product (GDP) is the monetary value of all finished goods and services made within a country during a specific period. GDP provides an economic snapshot of a country, used to estimate the size of an economy and growth rate.
Carbon dioxide emissions, largely by-products of energy production and use, account for the largest share of greenhouse gases, which are associated with global warming and climate change. Qatar, Kuwait, UAE and the US are among the top countries for co2 emission.
Gross Domestic Product (GDP) is the monetary value of all finished goods and services made within a country during a specific period. GDP provides an economic snapshot of a country, used to estimate the size of an economy and growth rate.
We have used the cartogram plot to visualize the GDP of each country where the GDP value is substituted for the land area. We have provided a slider on top which allows us to change the plot to show data for that year.
Here we represent two types of employment categories among the female population
We represent these values as % of the total female population, we have left out the remaining part of unemployed females. We plot these values using the radar plot because we wanted to compare such type of employment across different categories of people and regions. Different categories and regions are represented along different dimensions.
This plot shows the relationship between life expectancy(years) and Adjusted net national income(current US$) of all the countries using bubble chart where the size of the bubble shows the population of the country.
Life expectancy is defined as how long, on average, a newborn can expect to live. Adjusted net national income(current US$) is Gross National Income (GNI) minus consumption of fixed capital and natural resources depletion. The plot shows an increase in life expectancy as the income is increasing. The most life expectancy is in Japan.
This is actually not a social development indicator but we kept it for viewing the visualization of joy/ridge plot.
Dependency Ratio represents the number of dependents in a population divided by the number of working-age people. Dependents are defined as those aged 0 to 14 and those aged 65 and older. Working-age is from 15 to 64. We used the joy plot to visualize it. It shows the distribution of a numeric value for several groups. The example clearly shows that the dependency ratio is increasing for countries like Japan and China.