Table 1.
Socioeconomic High-resolution Rural-Urban Geographic data sets used for geospatial analysis of association of contextual factors with health in Bihar, India*
| Title | Description | Data year used in the study | 
|---|---|---|
| Population Census data (1991-2011) | Extensive demographics and a detailed listing of public goods for all towns and villages in India for the years 1991, 2001, and 2011. | 2011 | 
| All-India Forest Cover (Vegetation Continuous Fields) (2000-2019) | Forest cover data derived from tree cover measured at 250-m resolution by Vegetarian Continuous Fields, a MODIS product, from 2000-2019. A machine-learning algorithm derived from broad spectrum satellite images and trained with human-categorised data predicted VCF. It can distinguish between crops, plantations, and primary forest cover. | 2014 | 
| All-India Night Lights (1994-2013) | National Oceanic and Atmospheric Administration (NOAA) gridded night lights data, available annually from 1992-2013, were matched to village and town polygons and aggregated into totals and means. Estimates were calibrated for consistency among all years. Night lighting is often used as a proxy for economic activity when time series data on this is unavailable. | 2013 | 
| Pradhan Mantri Gram Sadak Yojana | Administrative data on national rural road construction at the village-level. Includes road completion dates, completion time, costs, overruns, construction materials, and beyond. | 2011 | 
*Adapted from “Available Data” by the Data Development Laboratory, 2020, (http://www.devdatalab.org/shrug_download/).