Complete enumeration of all firms (non-farm establishments) in every town and village in 1990, 1998, 2005, 2013, including manufacturing and services, formal and informal, private and public.

Forest cover data comes from Vegetation Continuous Fields (VCF), a MODIS product that measures tree cover at 250m resolution from 2000 to 2019. VCF is predicted from a machine learning algorithm based on broad spectrum satellite images and trained with human-categorized data, which can distinguish between crops, plantations and primary forest cover.

These data were linked to the SHRUG as part of work conducted by Asher, Garg, and Novosad (2018).

Night lights are widely used as a proxy for some form of electrification or economic activity when time series data on economic activity is otherwise unavailable. Gridded night lights data from the National Oceanic and Atmospheric Administration (NOAA) were matched to village and town polygons, and aggregated into totals and means. These are available annually from 1992–2013.

Administrative village-level data on the national rural road construction describe road completion dates, completion time, costs, and overruns, construction materials, and more.

We initially provide two key variables from the SECC: consumption and share of employment in agriculture. We impute consumption for each individual following the small area estimation methodology of Elbers et al. (2003), giving SHRUG users a proxy for village-level mean consumption per capita. We also provide 1000 bootstrapped estimates so users can account for the consumption estimate error (see codebook for details).

Electoral data are available for legislative constituencies. All SHRUG data are available at electoral boundaries (legislative constituencies), and electoral data is readily linkable to candidate affidavits. These data are from the Trivedi Center for Political Data. Data include turnout and vote totals for each candidate and party for all elections from 1980–2013.

RBI directory contains 154,505 bank branches present in Rural, Urban, Semi-urban and Metropolitan areas, matched with population census of 2011. Includes four identifiers - name of state, district, village/town, and pincode. Some of the un-identified branches were mapped manually using information from the Google search engine. In total, we are able to map 151,104 bank branches with PC11.

The first beta release of the SHRUG. We recommend you use the most up-to-date version. Made available for the curious.