Supplementary Materials for Geo-mapping of COVID-19 Risk Correlates in India: A Data Byte and Visualization S V Subramanian*, Omar Karlsson, Weixing Zhang, Rockli Kim *Corresponding author. Email:
[email protected] Table S1 All district estimates (provided in a separate document: Table_S1_all_district_estimates.csv) Table S2 Number of observations, number of households, and missingness for all measures, total and across 640 Indian districts........................................................................................................................... 2 Table S3 Population density (persons per square kilometer), percentage with no access to handwashing facilities, and percent population older than 65 years of age across 640 Districts of India, 2016.............. 22 Table S4 Total population, population with no access to handwashing facilities, and population older than 65 years of age across 640 Districts of India, 2016. ................................................................................. 38 Table S5 Percentage with no access to handwashing facilities, and percent population older than 65 years of age across 543 parliamentary constituencies of India, 2016. ...................................................... 54 Table S6 Percentage with hypertension, diabetes, and obesity among female of reproductive age across 640 Districts of India, 2016........................................................................................................................ 67 1 Table S2 Number of observations, number of