Ryan's Blog


Development: Correlation between Indicators


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Hello, In this blog post I am going to discuss the correlations in the development data for the United Kingdom and India using Gapminder. Firstly, The most obvious correlation I found is between the fertility rate and GDP Per Capita. From the graph one can see that UK has alway ways held an advantage over India in GDP. After the Industrial Revolution, especially 1850-1980 the gap widen dramatically. Now with India’s Industrial Revolution in recent years, it has been catching up. Never the less, clearly fertility rate have affected this gap. The gap might have closed faster had India Fertility dropped quicker. Whereas in the UK the family size dropped 1880s onwards, instead India has remained large only beginning to drop in the 1970s. How can we explain this? Clearly when family size is large, there is more pressure on society to produce schools, housing and jobs. Which means that the government is stretched financially. This also causes many LECD countries in Africa to struggle.

Secondly I found a clear correlation between Literacy rate and Fertility rate . In India, the data shows that as the fertility rate drops the literacy rate increases. whereas in UK it is likely that the literacy rate started high and has remained there. How do we explain this, Because teachers do not have teach big classes, pupil can get more attention and more money is available for each individual school child.

Finally, there is a clear link between HDI and Child Mortality. In India and the United Kingdom, as The HDI increases, the child mortality amount decreases. We can explain this by the use of higher health care opportunities available where more money is available. In a rich and literate society (HDI) health care obviously improves.

Clearly All of these correlations are linked. The HDI is based literacy, GDP/capita and Life expectancy, which in turn really on fertility rate, infant mortality and population growth rates.




  1. Hi,

    I like the style of your writing – Questioning yourself and answering it using the facts from the data. It’s very easy to read.
    The answers to the questions were very detailed and spread across all time periods, and explained fully.
    I especially liked where you said
    “This also causes many LECD countries in African to struggle”
    as you’re connecting the data to real world problems.
    There’s little grammatical errors, so have a go fixing them.


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