Table 2

HIV prevalence by demographic characteristics and province

VariableWCP, n/N (%; 95% CI)FSP, n/N (%; 95% CI)P valueWCP and FSP, n/N (%; 95% CI)
N108/802 (13.5%; 0% to 37.3%)270/1104 (24.5%; 23.3% to 25.7%)0.270378/1906 (17.2%; 1.9% to 32.6%)
Age category (years)
 15–197/101 (6.9%; 0% to 24.2%)17/186 (9.1%; 3.3% to 15.0%)0.75324/287 (7.8%; 0% to 18.2%)
 20–2425/226 (11.1%; 0% to 34.4%)68/363 (18.7%; 10.5% to 27.0%)0.43893/589 (14.0%; 0% to 28.4%)
 25–2933/178 (18.5%; 0% to 59.1%)77/244 (31.6%; 28.2% to 34.9%)0.425110/422 (23.0%; 0% to 50.0%)
 30–3420/124 (16.1%; 0% to 34.8%)60/141 (42.6%; 30.9% to 54.2%)0.02980/265 (24.0%; 8.6% to 39.5%)
 35–3912/88 (13.6%; 0% to 36.3%)35/102 (34.3%; 27.5% to 41.1%)0.07347/190 (20.0%; 1.2% to 38.6%)
 40–443/21 (14.3%; 0% to 47.5%)12/30 (40.0%; 31.5% to 48.5%)0.10615/51 (23.3%; 1.1% to 45.5%)
 45–490/3 (0; –)
 ≥500/1 (0; –)
Marital status
 Never married57/395 (14.4%; 0% to 37.7%)105/547 (19.2%; 12.5% to 25.8%)0.614162/942 (16.1%; 1.2% to 30.9%)
 Currently married36/305 (11.8%; 0% to 37.7%)78/318 (24.5%; 16.4% to 32.7%)0.263114/623 (15.4%; 0% to 34.9%)
 Divorced/separated/
 widowed
4/31 (12.9%; 0% to 44.8%)50/102 (49.0%; 35.2% to 62.9%)0.04554/133 (32.9%; 6.8% to 59.0%)
 Married/cohabited before but current status unrecorded11/71 (15.5%; 3.0% to 28.0%)37/137 (27.0%; 20.9% to 33.1%)0.08348/208 (20.3%; 13.0% to 27.7%)
Highest educational level
 Primary13/92 (14.1%; 1.1% to 27.2%)52/171 (30.4%; 24.5% to 36.3%)0.03465/263 (20.8%; 11.9% to 29.8%)
 Secondary (any grade)86/593 (14.5%; 0% to 38.5%)208/866 (24.0%; 22.7% to 25.3%)0.333294/1459 (17.9%; 3.2% to 32.5%)
 Finished secondary school13/145 (9.0%; 0.0% to 25.1%)37/208 (17.8%; 14.3% to 21.3%)0.21450/353 (12.1%; 2.3% to 21.8%)
 Tertiary9/114 (7.9%; 0% to 34.3%)8/54 (14.8%; 0% to 29.8%)0.56117/168 (8.9%; 0% to 32.1%)
Employed
 Yes28/245 (11.4%; 0.0% to 38.3%)37/131 (28.2%; 25.1% to 31.4%)0.15965/376 (14.2%; 0.0% to 37.8%)
 No80/556 (14.4%; 0.0% to 36.1%)233/973 (23.9%; 22.4% to 25.5%)0.290313/1529 (18.2%; 6.0% to 30.4%)
Wealth quintile*
 Lowest quintile
 (poorest)
29/157 (18.5%; 10.7% to 26.2%)66/218 (30.3%; 24.4% to 36.1%)0.02895/375 (22.5%; 18.2% to 26.8%)
 Second lowest quintile38/157 (24.2%; 6.1% to 42.3%)55/217 (25.3%; 23.2% to 27.5%)0.87193/374 (24.6%; 13.0% to 36.2%)
 Middle quintile20/167 (12.0%; 0.0% to 35.4%)50/218 (22.9%; 17.1% to 28.8%)0.27670/385 (15.6%; 0.0% to 31.5%)
 Second highest quintile12/159 (7.5%; 0% to 26.2%)53/219 (24.2%; 21.5% to 26.9%)0.07065/378 (13.2%; 0.0% to 28.5%)
 Highest quintile
 (wealthiest)
5/144 (3.5%; 0% to 14.8%)44/215 (20.5%; 6.5% to 34.4%)0.05949/359 (13.6%; 0% to 24.0%)
Setting
 Urban formal18/455 (4.0%; 0% to 9.6%)NA NANA
 Urban informal90/347 (25.9%; 21.4% to 30.9%)124/520 (23.8%; 20.2% to 27.7%)<0.001214/867 (25.2%; 23.3% to 27.1%)
 Rural formalNA146/584 (25.0%; 24.6% to 25.4%) NANA
  • *Household wealth quintiles were generated separately for each province using data for the specified province only, without weighting. The two-sample test of equality of proportions test statistic for survey data was used to generate P values. This test statistic involves use of the ‘lincom command in STATA and takes consideration of study design, that is, the two-stage stratified cluster random sampling and design weights, where appropriate, to generate point estimates, their CIs and P values. The wider CI for WCP than FSP is due to clustering, as described in text. Furthermore, please note that WCP had larger probability weights, used in weighting of the survey-derived data than FSP, as described in text.

  • –, insufficient data for generation of estimates; differences in totals is due to missing data; %, prevalence of HIV adjusted for design effect; FSP, Free State Province; NA, not applicable; WCP, Western Cape Province.