There are three data sets: 1. Cross-sectional NYC mobility and COVID-19 data (ZCTA-level) 2. Longitudinal NYC COVID-19 data (Borough-level) 3. Longitudinal NYC mobility data (ZCTA and borough-level) 4. Geographic coordinates for NYC (ZCTA-level) 5. Regression output for Figure 4 (ZCTA-level) Dataset 1: Cross-sectional NYC mobility and COVID-19 data (ZCTA-level) File name: Cross-sectional_COVID19_mobility_zcta.csv Variable names and descriptions: borough - NYC borough ZCTA - NYC zip code tabulation area cumincidence - COVID-19 cumulative incidence (NYC DOHMH COVID-19) mobility_April_11 - main measure of mobility on April 11 (NYC MTA subway) median_income - median income (American Community Survey) gt_75_yrs - percent of individuals age >75 years (American Community Survey) all_essential - percent essential workers (American Community Survey) health_essential - percent healthcare essential workers (American Community Survey) nonhealth_essential - percent non-healthcare essential workers (American Community Survey) nonwhite_Hispanic - percent non-white and/or Hispanic/Latino (American Community Survey) uninsured - percent uninsured (American Community Survey) le_highschool - percent with a high school education or less (American Community Survey) rate_positive - rate of positive COVID-19 cases per 100,000 population percent_positive_over_tests - percentage of positive tests out of the total number of tests rate_tests - the rate of total tests per 100,000 population Dataset 2: Longitudinal NYC COVID-19 data (Borough-level) File name: Longitudinal_COVID19_borough.csv Variable names and descriptions: date - date borough - NYC borough incidence - incidence cumincidence - cumulative incidence rate_positive - rate of positive COVID-19 cases per 100,000 population (NYC DOHMH COVID-19) percent_positive_over_tests - percentage of positive tests out of the total number of tests (NYC DOHMH COVID-19) rate_tests - the rate of total tests per 100,000 population (NYC DOHMH COVID-19) Dataset 3: Longitudinal NYC mobility data (ZCTA and borough-level) File name: Longitudinal_Mobility_zcta_borough.csv Variable names and descriptions: date - date borough - NYC borough ZCTA - NYC zip code tabulation area mobility - measure of mobility (NYC MTA subway) Dataset 4: Geographic coordinates for NYC (ZCTA-level) File name: 4._Map_Mobility_zcta Variable names and descriptions: ZCTA - NYC zip code tabulation area long - longitude lat - latitude Feb_29 - measure of mobility on February 29 (NYC MTA subway) March_7 - measure of mobility on March 7 (NYC MTA subway) March_14 - measure of mobility on March 14 (NYC MTA subway) March_21 - measure of mobility on March 21 (NYC MTA subway) April_11 - measure of mobility on April 11 (NYC MTA subway) Dataset 5: Regression output for Figure 4 (ZCTA-level) File name: 5._Regression_output Variable names and descriptions: Variable - Predictor for the regression RiskRatio - risk ratio LowerLim - lower 95% confidence interval UpperLim - upper 95% confidence interval Outcome - Outcome for the regression