Using summarize after svy: mean with direct standardisation

[Rimma Myton]

Hello,

I am running the descriptive statistics for continuous variable that contains number of visits visits, using direct standardisation. My combined age and sex group is age_sex and my combined weight is combined_weight. Below is the outcome for svy: mean using a dummy sample data:

. svyset PLACE_ID

pweight: <none>
VCE: linearized
Single unit: missing
Strata 1: <one>
SU 1: PLACE_ID
FPC 1: <zero>

. svy: mean visits, stdize(age_sex) stdweight(combined_weight)
(running mean on estimation sample)

Survey: Mean estimation

Number of strata = 1 Number of obs = 3,000
Number of PSUs = 314 Population size = 3,000
N. of std strata = 10 Design df = 313

----------------------------------------------------------------
| Linearized
| Mean Std. Err. [95% Conf. Interval]
---------------+------------------------------------------------
visits | 7.5769 .5228137 6.548226 8.605573
----------------------------------------------------------------


Then I am trying to obtain the median and ICQ using summarize:

. summarize visits [aw =combined_weight], det

visits
-------------------------------------------------------------
Percentiles Smallest
1% 1 1
5% 2 1
10% 3 1 Obs 3,000
25% 3 1 Sum of Wgt. 174.823256

50% 6 Mean 6.955672
Largest Std. Dev. 4.729997
75% 9 27
90% 12 36 Variance 22.37287
95% 16 36 Skewness 1.630652
99% 24 42 Kurtosis 7.396223


But I get a different mean in the summarize table. Does it really matter or I am doing something wrong?

I would really appreciate any help with this. My dummy sample is attached in Excel.
Thanking you in advance.

[Rimma Myton]

Hello, I have found an answer to my question in another post here: https://www.statalist.org/forums/for...or-age-and-sex

I have also realised that attached an XLS file instead of intended CSV. My apologies, it was sent in error. Please ignore this post.

Many thanks everyone.