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What would a poverty map of India look like?

54 pointsby ad93611about 12 years ago

8 comments

NateDadabout 12 years ago
What's amazing to me is that a <i>bicycle</i> is considered an asset. I can't imagine being so poor as to not be able to own a bicycle... not owning a radio is almost worse, but at least a bicycle doesn't require electricity.... and I don't know how predominant radio is in India, but I would guess bicycle travel is pretty damn common.
unhappyhippieabout 12 years ago
Where did you get the district map of India? I know jvectormap that has the states[1] but it excludes the areas our government claims but does not administer (aksai chin, pok) which might not be appreciated in official circles.<p>[1] <a href="http://jvectormap.com/maps/countries/india/" rel="nofollow">http://jvectormap.com/maps/countries/india/</a>
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prakashkabout 12 years ago
The numbers for Hyderabad and Rangareddi districts in the state of Andhra Pradesh (in South India) show 3.1% and 7.3% respectively. Considering that the state capital and its metropolitan area are in these two districts, I expected highest numbers of people owning said "assets". But these two had lower numbers compared to other districts.<p>Then I came across the earlier post "We are the 5%" (<a href="http://datastories.in/blog/2013/04/01/indias-5-percent/" rel="nofollow">http://datastories.in/blog/2013/04/01/indias-5-percent/</a>), which had a similar map showing the "% of Households with TV, Computer, Phone and Vehicle, by District". This map shows Hyderabad with 22.7% and Rangareddi with 15.8%. These of course are more likely numbers.<p>Since TV and phone were among the lists of assets in both posts, the first set of numbers should be more in line with the second set. How is this discrepancy explained?
shared4youabout 12 years ago
Wondering what was the reason for choosing those 16%, 32% and 48% ? Why not other bins?
justkezabout 12 years ago
It's great to see more D3 based mapping projects - it has made it really easy for anyone to get hold of geospatial data and munge it with stats, all with very little learning curve.
anurajabout 12 years ago
Little more sensitivity of data would be helpful rather than the large bins - like &#60;5,5-10,10-20,20-30,30-40,40-50,50+ to get a proper picture.
jbattleabout 12 years ago
Is this particular distribution related to either the Mughal or British invasions?
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nos4A2about 12 years ago
Anyone has a link to the Raw data? (the census data I guess)
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