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. 2020 Nov 26;756:143929. doi: 10.1016/j.scitotenv.2020.143929

Table 1.

Summary statistics—MCMA and Mexico City samples.

Variable Mexico City Metropolitan Area (MCMA)
Mexico City
Mean Standard deviation Mean Standard deviation
Death (1 if the person died from COVID19) 0.10 0.31 0.11 0.31
Female (1 if person's sex is female) 0.49 0.50 0.48 0.50
Age (person's age) 44.64 16.73 44.98 16.79
Obesity (1 if person diagnosed with obesity) 0.17 0.37 0.18 0.38
Smoking (1 if person had the habit of smoking) 0.10 0.31 0.11 0.31
Diabetes (1 if person diagnosed with diabetes) 0.14 0.35 0.14 0.35
Hypertension (1 if person diagnosed with hypertension) 0.17 0.37 0.17 0.38
PM2.5 (2000–2018 average daily mean in μg/m3) 25.72 2.25 26.70 2.02
PM2.5–2019 (2019 average annual mean in μg/m3) 24.92 2.65
PM2.5–14 (2-week average mean before onset of symptoms in μg/m3) 20.79 5.77
Temperature (2-week average daily mean before onset of symptoms in °C) 20.70 2.21
Population density (inhabitants per km2) 9.10 5.44 11.34 4.85
Population (100,000) 0.74 0.51 0.83 0.54
Hospital beds (per 10,000 inhabitants) 17.87 16.59 23.29 18.00
Lack access to health care (% of population) 19.81 3.34 19.03 2.76
Lack access to food security (% of population) 12.57 5.27 9.53 2.54
Can work from home (% of labor force) 24.69 8.71 29.26 7.48
Individual observations 196,273 71,620
Municipalities 76 14

Sources: Own estimation with data from Coneval (2017), SEDESA (2020), SSA (2020), Dingel and Neiman (2020), INEGI (2015), SEDEMA (2020) and Hammer et al. (2020). The MCMA is comprised of 76 municipalities in the states of Hidalgo, Mexico, and Mexico City. All municipalities (16) from Mexico City are part of the MCMA and are included in the MCMA sample. The Mexico City sample only considers the 14 municipalities for which we have PM2.5 for 2019 and 2020. PM2.5–2019 and PM2.5–14 are calculated from the weighted average of the daily concentrations from 7:00 am to 7:00 pm based on all monitors located within a 7 km radius from each municipality centroid, with weights given by the inverse of the distance between the municipality centroid and each monitor.