Tuesday, February 22, 2011

Creating Maps of Inequalities


Strange looking map, isn't it? Well, it's just a
modified map, a population cartogram, where the land area is shown in
proportion to population. Except that this is an inequality map. Here,
researchers have taken together data showing how many people suffer from a
certain disease in a certain land area, and then represent the map
proportionately.

This particular figure shows early neonatal
mortality, the deaths of infants in their first week after birth. India has the
highest neonatal mortality rate in the world (along with Pakistan, Bangladesh
and other countries of the subcontinent).

Pretty sad, isn't it?

Like the author says; "You
can say it, you can prove it, you can tabulate it, but it is only when you show
it that it hits home"
Statistics are hard to remember. Facts are
easily forgotten. But pictures remain in the mind for a long time.

There are fascinating, and sometimes surprising
insights from the six test examples; public spending on health, private
spending on health, neonatal mortality, HIV/AIDS prevalance, and the prevalance
of malaria.

To me, it was also depressing to be reminded how
badly India scored on all of these. These are just raw numbers from the United
Nations Human Development report, taken and plotted.

The explosive development in India is wonderful
and welcome, but mostly meaningless if the basic indicators of human life
remain depressing.

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