"The village is the cell of the national body and the cell-life must be healthy and developed for the national body to be healthy and developed." - Sri Aurobindo (During his speech on the Palli Samiti resolution at Kishoregunj). To track and assess development of our country, its important to understand the pace of development in our villages. In order to do so, many of the data do-gooders, non-profits, activists, designers and journalists struggle a lot to get Indian village boundaries in a clean machine consumable form. Here is beginning of an attempt to open Indian village boundaries consolidated at one place, currently this contains data for 12 Indian states namely Andhra Pradesh, Assam, Bihar, Gujarat, Haryana, Jharkhand, Karnataka, Kerala, Madhya Pradesh, Maharashtra, Rajasthan, West Bengal.
##Data Format Data is currently maintained in CSV format compressed using XZ and geometery of villages being in WKT format.
##Data Dictionary
- village_id: Unique ID for the village
- village_name: Name of the village
- village_descriptive_name: Descriptive name of village of following format ( Village - Block - District- State Code )
- village_census_code: Village census code according to 2011 Census of India
- panchayat_name: Name of the panchayat
- panchayat_code: Unique ID for the panchayat
- block_code: Unique ID for block
- block_name: Name of the block
- district_name: Name of the district
- district_code: Unique ID for the district
- district_census_code: District census code according to 2011 Census of India
- state_name: Name of the state
- state_code: Unique ID for the state
- state_census_code: State census code according to 2011 Census of India
- geometery_in_wkt: Geometery of the village in WKT(Well-known Text) format
- centroid_latitude: Latitude value of centroid of the village geometery
- centroid_longitude: Longitude value of centroid of the village geometery
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