Dear STATA users

I hope someone can help me. I am having a really hard time making a - what I thought would be a quite simple table.

I want to make a table over background factors related to placement breakdown looking similar to this one below:
Probability of placement breakdown Significance
Gender
Boys (n=545) 0.21 0.720
Girls (n=478) 0.23 0.720
Age
0-5 (n=56) 0.07 0.000
6-12 (n=318) 0.22 0.958
13-17 (n=587) 0.23 0.320
18-22 (n=52) 0.23 0.741
Placement breakdown is a dummyvariable called placementbreakdown 1 = placement breakdown 0 = no placement breakdown
Gender is also a dummy variable called gender 1 = boy 0 = girl.
And age consists of multiple dummy variables called age_0_5, age_6_12, age_13_17 and age_18_22.

If we start with the gender variable, I might be able to figure out the rest on my own.

My data is survey data collected in clusteres, so we use the svy-command to compensate for that.

What I have tried to do is:

. svy: mean breakdown, over(gender)
(running mean on estimation sample)

Survey: Mean estimation

Number of strata = 1 Number of obs = 1,007
Number of PSUs = 156 Population size = 1,007
Design df = 155

--------------------------------------------------------------------
| Linearized
| Mean std. err. [95% conf. interval]
-------------------+------------------------------------------------
c.breakdown@gender |
0 | .2252632 .024941 .175995 .2745313
1 | .2142857 .0237364 .1673971 .2611744
--------------------------------------------------------------------

. test c.breakdown@0.gender=c.breakdown@1.gender

Adjusted Wald test

( 1) c.breakdown@0bn.gender - c.breakdown@1.gender = 0

F( 1, 155) = 0.13
Prob > F = 0.7200

. estadd scalar p_diff = r(p)

added scalar:
e(p_diff) = .71999581

. esttab ., cells("b") stats(p_diff) nostar noabbrev nonumber eqlabels(none) collabels(Probability of placement breakdown) nomtitle

-------------------------
Probability of placement breakdown
-------------------------
c.breakdown@0.gender .2252632
c.breakdown@1.gender .2142857
-------------------------
p_diff .7199958
-------------------------

I have tried several ways but this is the closest i get to the table above. It is not very interpretable especially since there is no labels on the variables.

Are there any suggestions on how I could do this better/more interpretable?

Thank you in advance,

Sofie.