City | Sample | Population (2018) | p-value | |||
---|---|---|---|---|---|---|
Category | Sample size (%) | ±SD | Category | N (%) | ||
Beijing | Total | 1108.9 (100.0) | 167.3 | Total | 2154.2 (100.0) | |
Gender | ||||||
Male | 555.2 (50.1) | 81.7 | Male | 1095.6 (50.9) | 0.879 | |
Female | 553.7 (49.9) | 85.7 | Female | 1058.6 (49.1) | ||
Age | Total 15+ | 1927.6 | ||||
18-64 | 1095.2 (98.8) | 163.4 | 15-64 | 1686.2 (87.5) | < 0.001* | |
65+ | 13.7 (1.2) | 4.0 | 65+ | 241.4 (12.5) | ||
Shanghai | Total | 963.5 (100.0) | 137.3 | Total | 1462.4 (100.0)^ | |
Gender | ||||||
Male | 462.5 (48.0) | 63.9 | Male | 724.1 (49.5) | 0.761 | |
Female | 501.0 (52.0) | 73.4 | Female | 738.2 (50.5) | ||
Age | Total 18+ | 1285.9 | ||||
18-64 | 947.2 (98.3) | 132.3 | 18-59 | 783.9 (61.0) | < 0.001* | |
65+ | 16.3 (1.7) | 5.1 | 60+ | 502.0 (39.0) | ||
Chongqing | Total | 286.0 (100.0) | 46.1 | Total | 3101.8 (100.0) | |
Gender | ||||||
Male | 131.4 (45.9) | 21.1 | Male | 1563.4 (50.4) | 0.368 | |
Female | 154.6 (54.1) | 25.1 | Female | 1538.4 (49.6) | ||
Age | Total 15+ | 2572.3 | ||||
18-64 | 282.3 (98.7) | 44.9 | 15-64 | 2135.0 (83.0) | < 0.001* | |
65+ | 3.6 (1.3) | 1.2 | 65+ | 437.4 (17.0) | ||
Shenzhen | Total | 489.8 (100.0) | 66.6 | Total | 1302.7 (100.0) | |
Gender | ||||||
Male | 269.3 (55.0) | 37.8 | Male | 707.8 (54.3) | 0.893 | |
Female | 220.5 (45.0) | 28.9 | Female | 594.9 (45.7) | ||
Age | Total 18+ | \ | ||||
18-64 | 487.4 (99.5) | 66.2 | 18-64 | \ | NA | |
65+ | 2.4 (0.5) | 0.5 | 65+ | \ | ||
Hong Kong | Total | 42.8 (100.0) | 6.7 | Total | 748.77 (100.0) | |
Gender | ||||||
Male | 18.6 (43.5) | 2.9 | Male | 342.23 (45.7) | 0.659 | |
Female | 24.2 (56.5) | 3.8 | Female | 406.54 (54.3) | ||
Age | Total 15+ | 663.89 | ||||
18-64 | 42.5 (99.3) | 6.6 | 15 – 64 | 533.36 (80.3) | < 0.001* | |
65+ | 0.3 (0.7) | 0.1 | 65+ | 130.53 (19.7) |