Summary statistics, table

[Enrico Azzini]

Goodmorning, I need help on how to create a nice table for summary statistics. If is possible I would like to create a summary statistics similar to this one:

(the picture was taken from a paper made by Isabel Ruiz and Carlos Vega Silva)

my dataset is
----------------------- copy starting from the next line -----------------------

* Example generated by -dataex-. To install: ssc install dataex
clear
input byte cittad float(xcnt_cond_notold_t xcnt_cond_mf) byte sex
1 .56624806 .6457422 1
1 .56624806 .6457422 1
1 .56624806  .488934 2
1 .56624806 .6457422 1
1 .56624806 .6457422 1
1 .56624806 .6457422 1
1 .56624806 .6457422 1
1 .56624806  .488934 2
1 .56624806  .488934 2
1 .56624806  .488934 2
1 .56624806  .488934 2
1 .56624806 .6457422 1
1 .56624806  .488934 2
1 .56624806 .6457422 1
1 .56624806 .6457422 1
1 .56624806 .6457422 1
1 .56624806 .6457422 1
1 .56624806 .6457422 1
1 .56624806 .6457422 1
1 .56624806  .488934 2
1 .56624806  .488934 2
1 .56624806  .488934 2
1 .56624806 .6457422 1
1 .56624806  .488934 2
1 .56624806  .488934 2
1 .56624806  .488934 2
1 .56624806  .488934 2
1 .56624806  .488934 2
1 .56624806 .6457422 1
1 .56624806  .488934 2
1 .56624806  .488934 2
1 .56624806  .488934 2
1 .56624806  .488934 2
1 .56624806 .6457422 1
1 .56624806  .488934 2
1 .56624806 .6457422 1
1 .56624806 .6457422 1
1 .56624806 .6457422 1
1 .56624806 .6457422 1
1 .56624806  .488934 2
1 .56624806 .6457422 1
1 .56624806  .488934 2
1 .56624806 .6457422 1
1 .56624806  .488934 2
1 .56624806  .488934 2
1 .56624806  .488934 2
1 .56624806  .488934 2
1 .56624806  .488934 2
1 .56624806 .6457422 1
1 .56624806 .6457422 1
1 .56624806  .488934 2
1 .56624806 .6457422 1
1 .56624806 .6457422 1
1 .56624806  .488934 2
1 .56624806 .6457422 1
1 .56624806  .488934 2
1 .56624806  .488934 2
1 .56624806  .488934 2
1 .56624806  .488934 2
1 .56624806  .488934 2
1         .        . 1
1 .56624806 .6457422 1
1 .56624806 .6457422 1
1 .56624806 .6457422 1
1 .56624806 .6457422 1
1 .56624806 .6457422 1
1 .56624806 .6457422 1
1 .56624806  .488934 2
1 .56624806 .6457422 1
3 .3191417  .181912 1
3 .3191417 .4428459 2
3 .3191417 .4428459 2
3 .3191417  .181912 1
3 .3191417 .4428459 2
3 .3191417 .4428459 2
3 .3191417 .4428459 2
3 .3191417 .4428459 2
3 .3191417 .4428459 2
3 .3191417 .4428459 2
3 .3191417 .4428459 2
3 .3191417  .181912 1
3 .3191417 .4428459 2
3 .3191417 .4428459 2
3 .3191417 .4428459 2
3 .3191417 .4428459 2
3        .        . 1
3 .3191417 .4428459 2
3 .3191417 .4428459 2
3 .3191417  .181912 1
3 .3191417 .4428459 2
3 .3191417 .4428459 2
3 .3191417 .4428459 2
3 .3191417  .181912 1
3 .3191417 .4428459 2
3 .3191417 .4428459 2
3 .3191417 .4428459 2
3 .3191417 .4428459 2
3 .3191417 .4428459 2
3 .3191417  .181912 1
3 .3191417 .4428459 2
3 .3191417  .181912 1
3 .3191417 .4428459 2
3 .3191417 .4428459 2
3 .3191417  .181912 1
3 .3191417 .4428459 2
3 .3191417 .4428459 2
3 .3191417 .4428459 2
3 .3191417 .4428459 2
3 .3191417  .181912 1
3        .        . 2
3 .3191417  .181912 1
3        .        . 2
3 .3191417  .181912 1
3 .3191417 .4428459 2
3 .3191417 .4428459 2
3 .3191417 .4428459 2
3 .3191417 .4428459 2
3 .3191417 .4428459 2
3 .3191417 .4428459 2
3 .3191417 .4428459 2
3 .3191417 .4428459 2
3 .3191417 .4428459 2
3 .3191417  .181912 1
3 .3191417 .4428459 2
3 .3191417 .4428459 2
3 .3191417 .4428459 2
3 .3191417  .181912 1
2 .26313707 .16777547 1
2 .26313707   .321748 2
2 .26313707   .321748 2
2 .26313707 .16777547 1
2 .26313707   .321748 2
2 .26313707   .321748 2
2 .26313707   .321748 2
2         .         . 2
2 .26313707   .321748 2
2 .26313707   .321748 2
2 .26313707   .321748 2
2 .26313707 .16777547 1
2 .26313707 .16777547 1
2 .26313707   .321748 2
2 .26313707 .16777547 1
2         .         . 2
2 .26313707   .321748 2
2 .26313707   .321748 2
2 .26313707   .321748 2
2 .26313707 .16777547 1
2 .26313707 .16777547 1
2 .26313707   .321748 2
2 .26313707   .321748 2
2 .26313707   .321748 2
2 .26313707   .321748 2
2 .26313707   .321748 2
2 .26313707   .321748 2
2         .         . 2
2 .26313707   .321748 2
2 .26313707   .321748 2
2         .         . 2
2 .26313707 .16777547 1
2 .26313707   .321748 2
2 .26313707   .321748 2
2 .26313707   .321748 2
2 .26313707   .321748 2
2 .26313707   .321748 2


end

where cittad can take value from 1 to 3 and it indicate Native EconomicMigrants and Refugees, xcnt_cond_notold_t is the ratio between Worker and Total population and xcnt_cond_mf is the ratio between Worker and Total population but dividing for sex.
What I'd like to create is a table where are displayed the overall ratio for each sex for the three different groups.
Thankyou for the help.