Miscellaneous raw data for replicating "Mobility and Congestion in Urban India" by Akbar, Couture, Duranton and Storeygard, American Economic Review, 2023

Combines several raw datasets used in the replication data for: Akbar, Prottoy, Victor Couture, Gilles Duranton, and Adam Storeygard. 2023. "Mobility and Congestion in Urban India." American Economic Review, 113 (4): 1083-1111. Contents: Shape metrics for Indian cities from Harari (2020) Boundaries of Indian towns and districts, and towns, and daily labor earnings by district and sector from the Employment and Unemployment Survey of the National Sample Survey (NSS-EUE) 2011–12 from Li, Rama, Galdo and Pinto's (2015) South Asia Spatial Database. Population and number of households by town and village, share of population possessing a car or motorcycle by town and village, pucca and kutcha road length and count of streetlight poles, by town only, and average commute distancefor urban non-agricultural workers by mode by district, all from the Government of India's 2011 Census of India. Data on the location of potholes and car paths in Indian cities are from Intents Mobi (https://intents.mobi) Time zone at each city centroid determined by Python package timezonefinder in 2019 Weighted count of total trips started at each 30-minute bin of weekdays from the 2017 US National Household Travel Survey (NHTS; FHWA 2017): Citations Federal Highway Administration (FHWA). 2017. 2017 National Household Travel Survey, U.S. Department of Transportation, Washington, DC. URL: https://nhts.ornl.gov. Harari, Mariaflavia. 2020. "Cities in Bad Shape: Urban Geometry in India." American Economic Review, 110 (8): 2377-2421. Li, Yue, Martin Rama, Virgilio Galdo, and Maria Florencia Pinto. 2015. A spatial database for South Asia. Unpublished manuscript.