Adding some relevant data. The district handbooks released by census provide pincode details for village areas. for each village / location code, they provide the relevant pincode which covers that village. I have collated that data from the handbook files and put them up here:
https://github.com/avinashcelestine/pincodes_censuscodes Unfortunately, the district handbooks only provide such pincode data for villages, not towns or wards. And even within villages, a number of locations dont have the relevant pincode info (i think a large part of Madhya Pradesh is blank for instance). Another bunch of villages have pincodes in less than 6 digits. Despite these issues however, there are still 4.13 lakh villages out of a total of 6.4 lakh, for whom six digit pincodes are given. the handbooks are here: http://www.censusindia.gov.in/2011census/dchb/DCHB.html (For the sake of completeness, i have not removed entries for those villages for which pincodes are not given) These will be useful for anyone looking to map census data to pincodes. regards Avinash On Sun, Apr 3, 2016 at 6:47 PM, Dilip Damle <cadvis...@gmail.com> wrote: > Hi Devdatta, > > What is the data that you are looking for. > I had saved it. > But it is huge. About 1.55 GB consisting of about 135 shapefiles out of > which 70 are raw booths. > > > > On Saturday, April 2, 2016 at 12:32:47 PM UTC+5:30, Devdatta Tengshe wrote: >> >> Hi Raphael, >> >> Firstly, thanks a lot for extracting this information. >> >> I was looking at http://dx.doi.org/10.4119/unibi/2674065, but I could >> find only the Boundaries for the constituencies. >> >> Can you tell us where we can find the locations of the polling booths >> that you had extracted? >> >> Secondly, can you also share (if you still have them) the heatmaps code >> that you used to create the constituency boundaries? I think that is what >> will be required to create the pincode boundaries as well. >> >> Regards, >> Dev >> >> Regards, >> Devdatta >> >> On Fri, Apr 1, 2016 at 6:31 PM, Raphael Susewind < >> li...@raphael-susewind.de> wrote: >> >>> Dear all, >>> >>> following up on my earlier email, I just pushed a list of pincodes for >>> all electoral booths across India to GitHub and made a pull request to >>> the datameet repository: >>> >>> https://github.com/datameet/pincodes/pull/2 >>> >>> Please note that this can be incomplete, and is based on a rather >>> brutish, quick and dirty hack - see comments in rolls2pincode.pl. But it >>> does use the same IDs as those in the 2014 elections, and hence can be >>> combined with my GIS shapefiles for polling booths: >>> >>> http://dx.doi.org/10.4119/unibi/2674065 >>> >>> I leave it to others to double-check accuracy and create actual pincode >>> maps. I hope this is useful, >>> >>> Best, >>> Raphael >>> >>> On 28.03.2016 07:50, Raphael Susewind wrote: >>> >>> > Dear Avinash and all, >>> > >>> > I will try to make some time this week to scrape the pincodes from >>> > electoral rolls for all polling booths in my electoral GIS shapefiles. >>> > >>> > Since pincode is in latin script, this should not be affected by the >>> > much discussed PDF scraping issues with electoral rolls. >>> > >>> > We could then either go down the voronoi route, or alternatively use >>> the >>> > heatmap processing chain that I used to generate AC boundaries - this >>> > latter would have the advantage of dealing with wrong coordinates in >>> the >>> > booth point dataset (basically, not all electoral booth coordinates are >>> > correct; consequently, if we only voronoi, we would have a blip of >>> > pincode B within a see of pincode A quite frequently. The heatmap stuff >>> > takes care of this). >>> > >>> > Since I am not familiar with postal boundaries: can anyone here confirm >>> > whether pincode areas are contiguous, and whether each pincode has only >>> > one area? Or can it be that several non-contiguous areas have the same >>> > pincodem intersparsed with other pincodes? (In which case voronoi would >>> > perhaps be the better solution at last) >>> > >>> > In any case, I hope to give you the pincode for each polling booth by >>> > end of the week or so (based on all-India 2014 electoral rolls), >>> > >>> > Best, >>> > Raphael >>> > >>> > On 28.03.2016 06:33, Avinash Celestine wrote: >>> > >>> >> perhaps one way is to avoid using postal data altogether. >>> >> >>> >> All header pages in electoral rolls(the first page) contain the name >>> of >>> >> the polling station related to that roll, the PS number, and >>> importantly >>> >> the pin code. >>> >> >>> >> A site like psleci.nic.in <http://psleci.nic.in> has geog >>> coordinates >>> >> of polling stations (though Raphael had collected the data earlier*). >>> >> Matching the two will give a fairly dense scattering of points - in >>> >> fact much more dense than if we used some of the methods earlier in >>> this >>> >> thread. >>> >> >>> >> We thus have a way of associating a pin code with a geo coordinate. We >>> >> can then use the voronoi method. >>> >> >>> >> Electoral rolls are mostly in pdf which make them difficult to scrape. >>> >> But from what i have seen, for any given state, the location on the >>> >> header page, of the pincode number is more or less constant, making it >>> >> possible to target just that part of the page with any pdf parser. >>> >> >>> >> Electoral rolls have become difficult to download in bulk( a good >>> >> thing!) but i understand different people on this group have the pdfs >>> >> for different states. Putting this stuff together should give us >>> >> comprehensive data on header pages for atleast some states. >>> >> Alternatively, we can file RTIs for just the header pages of electoral >>> >> rolls, though i dont know how successful that would be. >>> >> >>> >> * Raphael's data is >>> >> at https://github.com/raphael-susewind/india-election-data >>> >> >>> >> >>> >> >>> >> On Sun, Mar 27, 2016 at 12:07 PM, srinivas kodali <iota....@gmail.com >>> >> <mailto:iota....@gmail.com>> wrote: >>> >> >>> >> Well, There were postal delivery zones in the past and the postal >>> >> department even used to make maps of these zones. The Delhi postal >>> >> delivery zone map >>> >> < >>> https://drive.google.com/file/d/0B1RcWLku0ZOWWVBHMldrZWdfZEU/view?usp=sharing> >>> had >>> >> boundaries for delhi. I am not sure if other cities had them or >>> how >>> >> long the postal department was doing this, but it certainly can >>> help >>> >> with the boundaries for cities. >>> >> >>> >> Regards, >>> >> Srinivas Kodali >>> >> www.lostprogrammer.com <http://www.lostprogrammer.com> >>> >> /"Not everyone who wanders is lost, I am probably a bit"/ >>> >> >>> >> On Tue, Mar 22, 2016 at 9:29 PM, Arun Ganesh <arung...@gmail.com >>> >> <mailto:arung...@gmail.com>> wrote: >>> >> >>> >> Shravan, crowdsourcing the boundaries of pincodes is not as >>> >> trivial as you think. To start with, an area does not fall >>> under >>> >> a pincode, rather a street does based on the post office that >>> >> services it. Read >>> >> this: >>> http://www.georeference.org/doc/zip_codes_are_not_areas.htm >>> >> >>> >> You may also want to do some background reading of existing >>> >> research that has been done by the group >>> >> here: >>> https://datameet.hackpad.com/M4hPFJVV2Gm?eid=v4YoXN4tTw5 >>> >> >>> >> To sum up, nobody has precise pincode boundaries like how you >>> >> imagine them, not even the postal department. Any existing >>> >> datasets are an estimate at best using some data processing >>> on a >>> >> large volume of address data. >>> >> >>> >> -- >>> >> Datameet is a community of Data Science enthusiasts in India. >>> >> Know more about us by visiting http://datameet.org >>> >> --- >>> >> You received this message because you are subscribed to the >>> >> Google Groups "datameet" group. >>> >> To unsubscribe from this group and stop receiving emails from >>> >> it, send an email to datameet+u...@googlegroups.com >>> >> <mailto:datameet+u...@googlegroups.com>. >>> >> For more options, visit https://groups.google.com/d/optout. >>> >> >>> >> >>> >> -- >>> >> Datameet is a community of Data Science enthusiasts in India. Know >>> >> more about us by visiting http://datameet.org >>> >> --- >>> >> You received this message because you are subscribed to the Google >>> >> Groups "datameet" group. >>> >> To unsubscribe from this group and stop receiving emails from it, >>> >> send an email to datameet+u...@googlegroups.com >>> >> <mailto:datameet+u...@googlegroups.com>. >>> >> For more options, visit https://groups.google.com/d/optout. >>> >> >>> >> >>> >> -- >>> >> Datameet is a community of Data Science enthusiasts in India. Know >>> more >>> >> about us by visiting http://datameet.org >>> >> --- >>> >> You received this message because you are subscribed to the Google >>> >> Groups "datameet" group. >>> >> To unsubscribe from this group and stop receiving emails from it, send >>> >> an email to datameet+u...@googlegroups.com >>> >> <mailto:datameet+u...@googlegroups.com>. >>> >> For more options, visit https://groups.google.com/d/optout. >>> > >>> >>> -- >>> Dr Raphael Susewind | Associate, Contemporary South Asia Studies, Oxford >>> Snail Mail | Melanchthonstr. 4a, 33615 Bielefeld, Germany >>> Web & Twitter | https://www.raphael-susewind.de | @RaphaelSusewind >>> Impact | https://impactstory.org/raphael-susewind >>> >>> Please consider https://www.gnupg.org for encryption (key id 10AEE42F) >>> >>> >>> -- >>> Datameet is a community of Data Science enthusiasts in India. 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