Table 1.
Summary statistics of the monthly province sociodemographic group observations
| Variable | Mean | Std. Dev. | Min | Max |
|---|---|---|---|---|
| Temperature variables | ||||
| ≤ 5th percentile | 1.62 | 3.44 | 0 | 23 |
| > 5th and ≤ 10th percentile | 1.58 | 2.56 | 0 | 19 |
| > 10th and ≤ 25th percentile | 4.63 | 5.68 | 0 | 23 |
| > 25th and < 75th | 14.95 | 9.86 | 0 | 31 |
| ≥ 75th and < 90th percentile | 4.48 | 6.27 | 0 | 28 |
| ≥ 90th and < 95th percentile | 1.56 | 3.02 | 0 | 17 |
| ≥ 95th percentile | 1.63 | 3.73 | 0 | 29 |
| Death counts | ||||
| Sum of deaths | 95.89 | 113.16 | 0 | 1,187 |
| Low SES sum of deaths | 93.66 | 98.15 | 0 | 970 |
| Medium SES sum of deaths | 106.49 | 117.25 | 10 | 1,187 |
| High SES sum of deaths | 87.52 | 121.88 | 2 | 1,048 |
| Population exposures | ||||
| Population exposures 65+ | 2,384.71 | 3,073.35 | 52.47 | 29,357.38 |
| Population exposures Low SES 65+ | 1,987.42 | 2,155.39 | 52.47 | 14,051.42 |
| Population exposures Medium SES 65+ | 2,706.31 | 3,252.03 | 398.46 | 22,043.77 |
| Population exposures High SES 65+ | 2,460.38 | 3,584.73 | 130.05 | 29,357.38 |
| Control variables | ||||
| GDP per capita (per 1,000) | 22.16 | 4.78 | 14.44 | 37.1 |
| Population density | 129.64 | 167.81 | 8.57 | 827.23 |
| Solar radiation | 1017.51 | 4.49 | 1004.72 | 1034.48 |
| Wind speed | 0.46 | 1.02 | −4.58 | 4.89 |
| Precipitation | 1.48 | 1.65 | 0 | 11.44 |
| Relative humidity | 68.08 | 12.55 | 26.72 | 95.04 |
| PM2.5 | 9.96 | 3.87 | 3.15 | 71.01 |
| Observations | ||||
| No. Province-year-month-sociodemographic group | 25,200 |
Summary statistics are calculated as averages for each monthly time series of observations for each gender and SES group in the 50 provinces from 2012 to 2018. Moreover, we show the population exposures and sum of deaths separately for the three SES groups