Table 5. Estimated HIV prevalence by county and corresponding 95% Credible interval.
Code | County | Prevalence (95% CI) |
1 | Baringo | 0.033(0.014,0.061) |
2 | Bomet | 0.042(0.02,0.096) |
3 | Bungoma | 0.03(0.012,0.051) |
4 | Busia | 0.074(0.029,0.123) |
5 | Elgeyo Marakwet | 0.052(0.023,0.095) |
6 | Embu | 0.028(0.011,0.048) |
7 | Garissa | 0.058(0.026,0.105) |
8 | Homa Bay | 0.186(0.127,0.261) |
9 | Isiolo | 0.038(0.014,0.074) |
10 | Kajiado | 0.049(0.023,0.091) |
11 | Kakamega | 0.052(0.033,0.078) |
12 | Kericho | 0.052(0.028,0.09) |
13 | Kiambu | 0.03(0.016,0.046) |
14 | Kilifi | 0.041(0.022,0.066) |
15 | Kirinyaga | 0.036(0.017,0.061) |
16 | Kisii | 0.038(0.021,0.064) |
17 | Kisumu | 0.126(0.076,0.177) |
18 | Kitui | 0.046(0.025,0.083) |
19 | Kwale | 0.046(0.024,0.074) |
20 | Laikipia | 0.05(0.024,0.097) |
21 | Lamu | 0.023(0.007,0.049) |
22 | Machakos | 0.031(0.016,0.051) |
23 | Makueni | 0.038(0.019,0.067) |
24 | Mandera | 0.032(0.005,0.073) |
25 | Marsabit | 0.021(0.005,0.043) |
26 | Meru | 0.029(0.013,0.048) |
27 | Migori | 0.14(0.093,0.204) |
28 | Mombasa | 0.086(0.054,0.125) |
29 | Muranga | 0.027(0.011,0.046) |
30 | Nairobi | 0.069(0.05,0.09) |
31 | Nakuru | 0.057(0.037,0.092) |
32 | Nandi | 0.059(0.033,0.101) |
33 | Narok | 0.04(0.016,0.08) |
34 | Nyamira | 0.033(0.016,0.06) |
35 | Nyandarua | 0.04(0.02,0.065) |
36 | Nyeri | 0.027(0.011,0.044) |
37 | Siaya | 0.137(0.089,0.204) |
38 | Taita Taveta | 0.046(0.022,0.079) |
39 | Tana River | 0.03(0.012,0.057) |
40 | Tharaka-Nithi | 0.054(0.028,0.097) |
41 | Trans Nzoia | 0.071(0.04,0.127) |
42 | Turkana | 0.129(0.064,0.238) |
43 | Uasin Gishu | 0.048(0.02,0.078) |
44 | Vihiga | 0.045(0.024,0.081) |
45 | Wajir | 0.019(0.005,0.036) |
46 | West Pokot | 0.039(0.017,0.076) |