Table 1.
Year | 2015 | 2019 | 2023 | |
---|---|---|---|---|
Number | 7022 | 6639 | 7780 | |
Gender | Male | 3043 (47%) | 2831 (43%) | 3271 (42%) |
Female | 2917 (44%) | 2773 (42%) | 4316 (44%) | |
Blank | 962 (14%) | 1035 (16%) | 1093 (14%) | |
Age | 10s | 11 (0.2%) | 0 (0%) | 4 (0.1%) |
20s | 276 (4%) | 223 (3%) | 340 (4%) | |
30s | 942 (13%) | 812 (12%) | 853 (11%) | |
40s | 2122 (30%) | 1952 (29%) | 1977 (25%) | |
50s | 1974 (28%) | 1875 (28%) | 2289 (29%) | |
60s | 1352 (19%) | 1314 (20%) | 1607 (21%) | |
70s | 285 (4%) | 417 (6%) | 622 (8%) | |
80s | 47 (1%) | 25 (0.4%) | 57 (1%) | |
Blank | 13 (0.2%) | 21 (0.3%) | 31 (0.4%) | |
Insurance | National Health Insurance | 2032 (31%) | 2454 (32%) | |
Employees’ Insurance | 3038 (46%) | 3433 (44%) | ||
Other | 1257 (19%) | 1397 (18%) | ||
Blank | 312 (5%) | 526 (6%) |