Tag: graph

Human Development Index 2011

The United Nations Development Programme (UNDP) released its Human Development Report 2011. It “argues that the urgent global challenges of sustainability and equity must be addressed together – and identifies policies on the national and global level that could spur mutually reinforcing progress towards these interlinked goals“.

In this report, there is a ranking, the Human Development Index (HDI). The HDI is a way to measure the development. It combines indicators in three main dimensions: health, education and living standards. The mathematical way used to combine these indicators is explained in a technical note (PDF). The interest is of course to have a single number to use in comparison for both social and economic development. It’s not the only element to take into account to compare development. It’s merely a starting point giving an overview of development. An in-depth discussion about development and comparison between countries will need to go further and analyze each indicator separately (as well as other indicators if possible).

But human nature likes rankings. So be it. Here are the top 10 countries according this HDI:

1 Norway 0.943
2 Australia 0.929
3 Netherlands 0.910
4 United States 0.910
5 New Zealand 0.908
6 Canada 0.908
7 Ireland 0.908
8 Liechtenstein 0.905
9 Germany 0.905
10 Sweden 0.904

And the 10 least developed countries are all in Africa (again, according to the HDI):

178 Guinea 0.344
179 Central African Republic 0.343
180 Sierra Leone 0.336
181 Burkina Faso 0.331
182 Liberia 0.329
183 Chad 0.328
184 Mozambique 0.322
185 Burundi 0.316
186 Niger 0.295
187 Democratic Republic of the Congo 0.286

For information, China is 101st with an HDI of 0.687 ; Vietnam is 128th with an HDI of 0.593 ; India is 134th with an HDI of 0.547 (all three in the group of medium human development countries).

If I put all this in a map, it gives (thanks to the UNDP Statplanet tool):

Map of the Human Development Index 2011

The UNDP also has a data explorer tool à-la-Gapminder. Yesterday, I wrote about Hans Rosling’s talk urging us to continue to improve child survival in order to curb the world population growth. If I plot the HDI -vs- the “under-five mortality rate per 1,000 live births” (the probability of dying between birth and exactly age 5, expressed per 1,000 live births), I get the following graph that intuitively makes sense: the smaller is your under-5 mortality rate, the bigger is your HDI (meaning the country is more developed).

HDI -vs- under-5 mortality rate

Now the HDI is admittedly a theoretical value: it doesn’t take into account inequalities within each specific country. That’s the reason why the UNDP created in 2010 the Inequality-adjusted Human Development Index (IHDI). The IHDI is thus the actual level of human development (taking into account inequality). The average loss in the HDI due to inequality is about 23%. And although the loss is variable from country to country, it increases on average when you go down the human development index (HDI), see figure below. This average loss is the smallest in Europe and Central Asia (-12.7%) and the biggest in Sub-Saharan Africa (-34.5%).

Average IHDI loss

Evolution of H1N1

I needed some data to test the pChart charting library so I decided to use WHO data about swine flu (in its weekly updates). The only issue I had was that the WHO started to collect data by country and changed to gather data by regional offices from July 27th, 2009 onwards. So graphs below are only by regional offices.

Evolution of A/H1N1 cases - jepoirrier.net

Evolution of A/H1N1 deaths - jepoirrier.net

For your information:

  • AFRO: WHO Regional Office for Africa
  • AMRO: WHO Regional Office for the Americas
  • EMRO: WHO Regional Office for the Eastern Mediterranean
  • EURO: WHO Regional Office for Europe
  • SEARO: WHO Regional Office for South-East Asia
  • WPRO: WHO Regional Office for the Western Pacific

I didn’t really see such graph on the web but there is the excellent FluTracker by Dr. Niman and a lot of information about the swine flu on Wikipedia. If you want to start interpreting these curves, you might be interested in reading squareCircleZ’s post about the H1N1 and the Logistic Equation.