Data on religion and politics in India
This table contains booth-level estimates of religious demography based on the connotations of electors' names in the electoral rolls of Uttar Pradesh (revision 2011), using an optimized version of my name2community algorithm
|id||unique code for each row, in case one ever needs it|
|ac_id_09||ID code of the assembly segment assigned by the Election Commission (identical with all other post-delimitation codes, hence the _09)|
|booth_id_12||ID code of the polling booth assigned by the Election Commission (which stayed identical between 2011 and 2013, hence the _12; together with ac_id_09, this should suffice for matching with other tables)|
|electors_11||Number of registered electors|
|missing_percent_11||Percentage of electors whose names could not be matched by the algorithm (one crude aggregate measure of reliability)|
|hindu_percent_11||Estimated percentage of electors who are Hindu|
|muslim_percent_11||Estimated percentage of electors who are Muslim|
|christian_percent_11||Estimated percentage of electors who are Christian (be aware that accuracy of the algorithm has only been tested for Hindu and Muslim names, not Christian ones)|
|sikh_percent_11||Estimated percentage of electors who are Sikh (be aware that accuracy of the algorithm has only been tested for Hindu and Muslim names, not Sikh ones)|
|jain_percent_11||Estimated percentage of electors who are Jain (be aware that accuracy of the algorithm has only been tested for Hindu and Muslim names, not Jain ones)|
|buddhist_percent_11||Estimated percentage of electors who are Buddhist (be aware that accuracy of the algorithm has only been tested for Hindu and Muslim names, not Buddhist ones)|
|age_avg_11||Average age of all electors|
|age_stddev_11||Standard deviation of the age distribution of all electors|
|female_percent_11||Percentage of female electors among all electors|
|age_*_avg_11||Average age of electors estimated to be * (Hindu / Muslim / Christian / Sikh / Jain / Buddhist)|
|age_*_stddev_11||Standard deviation of the age distribution of electors estimated to be * (Hindu / Muslim / Christian / Sikh / Jain / Buddhist)|
|female_*_percent_11||Percentage of female electors among electors estimated to be * (Hindu / Muslim / Christian / Sikh / Jain / Buddhist)|
Originally, the electoral rolls were crawled in October 2012 from http://220.127.116.11/Rollpdf (a CEO Uttar Pradesh website) using run-in-osc/downloadpdf.pl; the "last updated on" entry on the rolls' cover sheet reads "29/09/2011".
Raw data itself (electoral roll PDFs as well as the voter-by-voter name classifications derived from them) are not shared here, though, both to save space (it amounts to several GBs of binary dumps) and in light of privacy concerns (electoral rolls are public data, but I doubt that electors like to have their probable religion searchable by EPIC card number).
The subsequent processing chain is however preserved in the run-in-osc and run-in-osc-add-firstpage-stuff folders for reference. It ran on the Oxford Advanced Research Computing cluster (then called the Oxford Supercomputing Centre) and several hardcoded binary paths as well as the PBS scheduler commands are unique to this environment. After running createnamedb.pl once and putting all additional software in place, the chain was started using run.sh, which basically sparked 403 parallel processes (one for each assembly segment), in which roll PDFs were downloaded, relevant data extracted, names of electors matched to likely religion and ultimately booth-wise estimates of religious demography calculated. The second chain in run-in-osc-add-firstpage-stuff was run about a year later to extract additional variables from the first page of each electoral roll that are then added to the upid table - this script covered the years 2011, 2012 and 2013 in one run (yes, it was sort of an afterthought).
The final task of pulling everything together for this dataset is delivered by combine.pl, which results in one large booths.sqlite file, which is shared here as .tgz archive (even this is quite large). The SQL code to put this into the main database and create the subsequent CSV dumps was done using transform.pl.
While the database in its entirety is subject to an ODC Open Database License, as explained in the main README and LICENSE files, the content of this specific table as well as code used for crawling and compilation is subject to a CC-BY-NC-SA 4.0 license: you can use it for non-commercial purposes as long as you attribute and share any additions or modifications on equal terms.