Table 1 Descriptive statistics for the variables.
From: Effect of PM2.5 pollution on perinatal mortality in China
Variable | Grouping | Mean | SD | Min | Max | Observations |
|---|---|---|---|---|---|---|
Perinatal mortality rates (‰) | Overall | 9.129 | 4.547 | 2.150 | 25.800 | N = 434 |
Between | 3.618 | 2.876 | 20.935 | n = 31 | ||
Within | 2.824 | 2.215 | 20.538 | T = 14 | ||
Average PM2.5 (log) | Overall | 3.745 | 0.484 | 2.183 | 4.519 | N = 434 |
Between | 0.479 | 2.351 | 4.391 | n = 31 | ||
Within | 0.108 | 3.186 | 4.208 | T = 14 | ||
Max PM2.5 (log) | Overall | 3.987 | 0.416 | 2.666 | 4.718 | N = 434 |
Between | 0.405 | 2.890 | 4.544 | n = 31 | ||
Within | 0.117 | 3.430 | 4.578 | T = 14 | ||
New Average PM2.5 (log) | Overall | 3.500 | 0.581 | 1.462 | 4.426 | N = 434 |
Between | 0.573 | 1.650 | 4.256 | n = 31 | ||
Within | 0.141 | 2.946 | 4.055 | T = 14 | ||
New Max PM2.5 (log) | Overall | 4.288 | 0.339 | 3.114 | 5.956 | N = 434 |
Between | 0.298 | 3.255 | 4.775 | n = 31 | ||
Within | 0.170 | 3.863 | 6.038 | T = 14 | ||
GDP per capita(log) | Overall | 4.701 | 0.672 | 2.790 | 6.107 | N = 434 |
Between | 0.478 | 3.813 | 5.671 | n = 31 | ||
Within | 0.480 | 3.492 | 5.618 | T = 14 | ||
bed_pop | Overall | 35.675 | 10.809 | 15.318 | 63.671 | N = 434 |
Between | 6.171 | 27.839 | 49.940 | n = 31 | ||
Within | 8.939 | 21.434 | 61.823 | T = 14 | ||
ha_pop | Overall | 5.038 | 3.446 | 1.231 | 21.789 | N = 434 |
Between | 1.957 | 1.697 | 12.439 | n = 31 | ||
Within | 2.856 | − 2.860 | 14.388 | T = 14 | ||
Urbanization rate (%) | Overall | 48.327 | 15.252 | 13.890 | 89.600 | N = 434 |
Between | 13.112 | 22.351 | 84.071 | n = 31 | ||
Within | 8.115 | − 11.190 | 85.220 | T = 14 |
