To see the prevalence of tobacco consumption in socio demographic variables their difference if statistically significant or not in rural and urban areas. I chose thought of doing a chi-square test and hand calculate CI of 95% but I came across boot strapping. I'm just trying to find out if there is any other way to find out the CI and Chi2 together in Stata 16.


Code:
proportion Gender if TobaccoUser==1, over (Region) vce(boot)
additional questions :
1. Is there a way to find the results in percentage?
2. Any mistakes in the code for which my results are coming in a visually difficult way.


Observed Bootstrap Logit
Proportion Std. Err. [95% Conf. Interval]

Male Urban .6685824 .0135016 .6416087 .6944926
Male Rural .634323 .0135404 .6073998 .660432
Female Urban .3314176 .0135016 .3055074 .3583913
Female Rural .365677 .0135404 .339568 .3926002


I'm a novice user, apologies if I have done any major mistake by combining a non- parametric estimation method with a chi-square statistic.