From: The less healthy urban population: income-related health inequality in China
Variable | Definition | Rural (N=7193) | Urban (N=2989) | ||
---|---|---|---|---|---|
Mean | SD | Mean | SD | ||
Health variables | |||||
SAH | Dummy variable: 1, excellent and good health; 0 otherwise | 0.593 | 0.491 | 0.594 | 0.491 |
Physical Limitation | Dummy variable: 1, having limitation coded as 1. 0 otherwise | 0.072 | 0.259 | 0.081 | 0.272 |
Demographic variables | |||||
Female 18-24 | Dummy variable: 1, female aged between 18–24; 0 otherwise. | 0.026 | 0.160 | 0.020 | 0.141 |
Female 25-34 | Dummy variable: 1, female aged between 25–34; 0 otherwise. | 0.076 | 0.265 | 0.065 | 0.246 |
Female 35-44 | Dummy variable: 1 female aged between 35–44; 0 otherwise. | 0.136 | 0.342 | 0.127 | 0.333 |
Female 45-54 | Dummy variable: 1 female aged between 45–54; 0 otherwise. | 0.130 | 0.336 | 0.123 | 0.329 |
Female 55-64 | Dummy variable: 1 female aged between 55–64; 0 otherwise. | 0.101 | 0.301 | 0.093 | 0.290 |
Female 65+ | Dummy variable: 1 female aged above 65; 0 otherwise. | 0.076 | 0.264 | 0.136 | 0.342 |
Male 18-24* | Dummy variable: 1 male aged between 18–24; 0 otherwise. | 0.031 | 0.174 | 0.028 | 0.164 |
Male 25-34 | Dummy variable: 1 male aged between 25–34; 0 otherwise. | 0.079 | 0.269 | 0.052 | 0.222 |
Male 35-44 | Dummy variable: 1 male aged between 35–44; 0 otherwise. | 0.136 | 0.343 | 0.120 | 0.325 |
Male 45-54 | Dummy variable: 1 male aged between 45–54; 0 otherwise. | 0.127 | 0.333 | 0.123 | 0.328 |
Male 55-64 | Dummy variable: 1 male aged between 55–64; 0 otherwise. | 0.108 | 0.310 | 0.093 | 0.290 |
Male 65+ | Dummy variable: 1 male aged 65 and above; 0 otherwise. | 0.067 | 0.249 | 0.108 | 0.310 |
Socioeconomic variables | |||||
Marital status | Dummy variable: 1 married, 0 otherwise | 0.856 | 0.351 | 0.808 | 0.394 |
Job status | Dummy variable: 1 having a job, 0 otherwise | 0.687 | 0.464 | 0.465 | 0.499 |
Income | Gross annual household income inflated to 2009 | 31,115 | 44,736 | 32,089 | 39,130 |
No education | Dummy variable: 1 no education; 0 otherwise | 0.273 | 0.446 | 0.157 | 0.364 |
Pri and Sec education | Dummy variable: 1 primary and secondary education; 0 otherwise | 0.554 | 0.497 | 0.371 | 0.483 |
High school education | Dummy variable: 1 high school and technical school education; 0 otherwise | 0.151 | 0.358 | 0.342 | 0.474 |
University education and above* | Dummy variable: 1 university education and above; 0 otherwise | 0.022 | 0.145 | 0.130 | 0.336 |
Province Liaoning | Dummy variable: 1 Liaoning, 0 otherwise | 0.113 | 0.316 | 0.091 | 0.288 |
Province Heilongjiang | Dummy variable: 1 Heilongjiang, 0 otherwise | 0.099 | 0.299 | 0.107 | 0.310 |
Province Jiangsu | Dummy variable: 1 Jiangsu, 0 otherwise | 0.118 | 0.323 | 0.117 | 0.321 |
Province Shandong | Dummy variable: 1 Shandong, 0 otherwise | 0.106 | 0.308 | 0.112 | 0.316 |
Province Henan | Dummy variable: 1 Henan, 0 otherwise | 0.116 | 0.320 | 0.114 | 0.318 |
Province Hubei | Dummy variable: 1 Hubei, 0 otherwise | 0.095 | 0.293 | 0.106 | 0.308 |
Province Hunan | Dummy variable: 1 Hunan, 0 otherwise | 0.107 | 0.309 | 0.132 | 0.339 |
Province Guangxi | Dummy variable: 1 Guangxi, 0 otherwise | 0.132 | 0.338 | 0.107 | 0.310 |
Province Guizhou* | Dummy variable: 1 Guizhou, 0 otherwise | 0.115 | 0.319 | 0.112 | 0.316 |