Table 1 Socioeconomic characteristics of transgender people and women at risk of or living with HIV
Variables | Total | Cisgender Women | Transgender | |||
|---|---|---|---|---|---|---|
(N = 4 072) | (N = 3587) | (N = 485) | ||||
% | n | % | n | % | n | |
Individual characteristics | ||||||
 Age groups | Pearson chi2(2) = 81.8676 Pr = 0.000 | |||||
  Adolescent girls & young women (15–24) | 38,4% | 1565 | 36.4% | 1304 | 53.8% | 261 |
  Adults (25–44) | 53,0% | 2160 | 54.0% | 1938 | 45.8% | 222 |
  Older adults (45+) | 8,5% | 347 | 9.6% | 345 | 0.4% | 2 |
 Highest level of education | Pearson chi2(2) = 186.7638 Pr = 0.000 | |||||
  From none to primary education | 32,9% | 1341 | 36.1% | 1296 | 9.3% | 45 |
  Secondary education | 45,2% | 1839 | 44.5% | 1598 | 49.7% | 241 |
  Post-secondary or University degree | 21,5% | 874 | 18.9% | 679 | 40.2% | 195 |
Missing | 0,4% | 18 | 0.4% | 14 | 0.8% | 4 |
 Location | Pearson chi2(3) = 124.3402 Pr = 0.000 | |||||
   A large city | 9,8% | 401 | 8.6% | 308 | 19.2% | 93 |
   A town | 51,2% | 2084 | 49.7% | 1782 | 62.3% | 302 |
   A village | 35,3% | 1438 | 37.8% | 1357 | 16.7% | 81 |
   A farm or isolated house | 2,9% | 118 | 3.2% | 114 | 0.8% | 4 |
Missing | 0,8% | 31 | 0.7% | 26 | 1.0% | 5 |
Socioeconomic inequality | ||||||
 Subjective socioeconomic status | Pearson chi2(2) = 35.7852 Pr = 0.000 | |||||
  Lower tercile | 35,6% | 1450 | 36.5% | 1308 | 29.3% | 142 |
  Middle tercile | 42,7% | 1737 | 43.0% | 1544 | 39.8% | 193 |
  Higher tercile | 19,4% | 790 | 18.0% | 647 | 29.5% | 143 |
Missing | 2,3% | 95 | 2.5% | 88 | 1.4% | 7 |
 Subjective social standing status | Pearson chi2(2) = 57.1549 Pr = 0.000 | |||||
  Lower tercile | 46,0% | 1875 | 48.0% | 1720 | 32.0% | 155 |
  Middle tercile | 29,2% | 1189 | 28.7% | 1031 | 32.6% | 158 |
  Higher tercile | 22,6% | 921 | 21.1% | 756 | 34.0% | 165 |
Missing | 2,1% | 87 | 2.2% | 80 | 1.4% | 7 |
 Food insecurity | Pearson chi2(1) = 52.8119 Pr = 0.000 | |||||
  No | 22,1% | 901 | 20.4% | 732 | 34.8% | 169 |
  Yes | 74,0% | 3012 | 75.7% | 2716 | 61.0% | 296 |
Missing | 3,9% | 159 | 3.9% | 139 | 4.1% | 20 |
 Financial vulnerability | Pearson chi2(1) = 15.6085 Pr = 0.000 | |||||
  No | 16,3% | 662 | 15.4% | 552 | 22.7% | 110 |
  Yes | 80,5% | 3278 | 81.2% | 2913 | 75.3% | 365 |
Missing | 3,2% | 132 | 3.4% | 122 | 2.1% | 10 |
 Housing insecurity | Pearson chi2(1) = 14.4568 Pr = 0.000 | |||||
  No | 77,0% | 3137 | 77.8% | 2792 | 71.1% | 345 |
  Yes | 19,4% | 792 | 18.6% | 666 | 26.0% | 126 |
Missing | 3,5% | 143 | 3.6% | 129 | 2.9% | 14 |
Macrosocial categories of vulnerability | ||||||
 People who use drugs (n = 3674, missing = 398, chi2(1) = 9.07 p = 0.003) | 23,0% | 845 | 23.8% | 771 | 17.2% | 74 |
 Engaged in sex work (n = 3676, missing = 396, chi2(1) = 99.67 p = 0.000) | 43,0% | 1579 | 40.0% | 1298 | 65.3% | 281 |
 Engaged in transactional sex (n = 3675, missing = 397, chi2(1) = 103.53 p = 0.000) | 49,4% | 1814 | 46.3% | 1505 | 72.5% | 309 |