Table 1. Participant characteristics by Sex (N=13614)

CharacteristicWomenMenTotalApprox. P-value
Unweighted nWeighted % (or Median)Weighted 95% CI (or IQR)Unweighted nWeighted % (or Median)Weighted 95% CI (or IQR)Unweighted nWeighted % (or Median)Weighted 95% CI (or IQR)
Rural/urban setting0.023
Rural506064.4362.08-66.77349161.1958.40-63.98855162.8460.45-65.23
Urban283435.5733.23-37.92222938.8136.02-41.60506337.1634.77-39.55
Total7894100.00100.00-100.005720100.00100.00-100.0013614100.00100.00-100.00
Region0.585
Nairobi94510.389.27-11.4879511.7110.40-13.03174011.039.99-12.07
Central92013.2111.73-14.6964913.1811.08-15.29156913.2011.54-14.85
Coast9929.157.63-10.677099.417.97-10.8517019.287.87-10.68
Eastern158415.6414.01-17.27107215.2213.13-17.31265615.4313.74-17.12
Nyanza105414.6813.04-16.3276813.3611.55-15.17182214.0412.44-15.63
RiftValley141325.7023.10-28.30105026.7023.67-29.74246326.1923.48-28.90
Western98611.249.84-12.6467710.418.90-11.93166310.849.44-12.24
Total7894100.00100.00-100.005720100.00100.00-100.0013614100.00100.00-100.00
Age category (5 year categories)<.001
15-19117614.8713.79-15.94103617.8616.49-19.22221216.3315.41-17.26
20-24139717.6816.59-18.7883914.8313.66-16.00223616.2915.44-17.14
25-29131216.6715.67-17.6782814.7113.57-15.86214015.7114.91-16.52
30-3497612.5011.58-13.4271512.3011.32-13.28169112.4011.74-13.06
35-3983010.449.64-11.2458310.499.66-11.33141310.479.88-11.05
40-446688.427.77-9.074938.697.88-9.5011618.568.02-9.09
45-494926.395.77-7.023576.185.54-6.818496.295.81-6.76
50-544735.935.33-6.523716.405.72-7.078446.165.68-6.63
55-593204.013.51-4.512774.724.07-5.375974.363.92-4.80
60-642503.092.62-3.562213.823.23-4.404713.453.05-3.85
Total7894100.00100.00-100.005720100.00100.00-100.0013614100.00100.00-100.00
Educational level<.001
No primary118910.638.88-12.393793.862.89-4.8415687.326.04-8.60
Incomplete primary7028.427.29-9.544416.645.41-7.8611437.546.68-8.41
Complete primary240432.1030.33-33.88188132.5830.69-34.48428532.3430.93-33.75
Secondary+359948.8546.81-50.88301956.9254.60-59.23661852.8051.03-54.57
Total7894100.00100.00-100.005720100.00100.00-100.0013614100.00100.00-100.00
Marital status<.001
Ever widowed191524.4323.01-25.85219838.1336.44-39.82411331.1429.90-32.38
Married/cohabiting474460.3158.80-61.82307854.3852.72-56.05782257.4156.11-58.71
Never married/never cohabited4305.394.78-5.992083.763.15-4.376384.594.17-5.01
Separated/divorced7999.798.91-10.672323.673.11-4.2310316.796.24-7.34
Unknown60.080.01-0.1640.060.00-0.12100.070.02-0.12
Total7894100.00100.00-100.005720100.00100.00-100.0013614100.00100.00-100.00
Sexual debut<.001
First sex <15 years83013.0111.58-14.4372717.6015.90-19.30155715.2414.08-16.40
First sex 15+ years552386.9985.57-88.42380682.4080.70-84.10932984.7683.60-85.92
Total6353100.00100.00-100.004533100.00100.00-100.0010886100.00100.00-100.00
Age At Last Brithday789430.0023.00-41.00572030.0022.00-42.001361430.0022.00-42.000.067
Number of sex partners (matrix)54031.001.00-1.0041081.001.00-1.0095111.001.00-1.00

SurveyFreqs_Footnotes

Footnote
Categorical cells show column percentages.
Confidence intervals are 95% normal-approximation intervals based on the selected survey variance method.
The n column reports unweighted sample counts, while estimates and confidence intervals use survey weights.
P-values compare distributions across by-variable groups and are shown once on the characteristic row.
Categorical p-values use a Rao-Scott-style design-adjusted chi-square approximation derived from design-based cell variances.
Median p-values use a survey-adjusted median test based on deviations above the pooled weighted median.
Weighted estimates use the weight variable 'aiweight'.
Taylor linearization is used for weighted/design-based variance estimation.
Median summaries use an interpolated weighted-quantile approximation to SAS PROC SURVEYMEANS median, Q1, and Q3 output; exact SAS replication requires running the SAS macro.
SAS-parity mode formats the combined table like %svy_freqs: macro-style decimals, value-label order where available, and Total rows after each categorical block.
The Python p-values are labeled as approximations because SAS PROC SURVEYFREQ Rao-Scott P_RSCHI is not called directly in this environment.

SurveyFreqs_Metadata

SettingValue
analysis_typeCOL
continuous_statMEDIAN
variance_methodTAYLOR
by_variablesex2
outcome_variableNone
outcome_valueNone
survey_design_typestratified_cluster
weight_variableaiweight
strata_variablestrata2
cluster_variableqclust
include_missingNo
include_detailed_tablesNo
decimal_points2
pvalue_decimal3
sas_parityYes
table_titleTable 1. Participant characteristics by Sex
table_nametable1
survey_nameKAIS