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. Author manuscript; available in PMC: 2018 Sep 14.
Published in final edited form as: Sage Open. 2018 Jan 24;8(1):10.1177/2158244017753046. doi: 10.1177/2158244017753046

Table 2.

Breakdown of Monthly Income of Male Sex Workers: Lima, Peru (March 2014).

Total
Income Group 1 (US$0-US$137)
Income Group 2 (US$138-US$250)
Income Group 3 (US$251-US$429)
Income Group 4 (US$430-US$1,327)
Characteristics of the study participants N = 209 n = 51 n = 57 n = 51 n = 50
Median monthly income from SW (IQR)*** 143 (71-250) 71 (32-107) 161 (89-179) 179 (89-286) 289 (179-464)
Median monthly income from non-SW (IQR)*** 50 (0-186) 0 (0-7) 43 (0-107) 125 (0-214) 286 (143-357)
Median total monthly income (IQR) 250 (143-411) 86 (54-107) 196 (171-214) 321 (286-375) 536 (464-668)
Median number of sexual partners past 3 months (IQR)*** 20 (10-42) 11 (8-26) 20 (7-40) 20 (10-50) 29 (14-60)
Median number of clients past 3 months (IQR)*** 15 (8-37) 10 (5-20) 14 (7-32) 20 (10-40) 27 (12-56)
Median amount charged per encounter (IQR)** 11 (9-14) 11 (7-13) 11 (9-14) 11 (9-13) 11 (11-18)

Note. Income grouping was based on total monthly income and was used for presentation, not statistical analysis purposes. Groups 1 to 4 cutoffs were chosen to create four similar-sized groups. All incomes are presented in US$ (exchange rate of 2.8 Peruvian Nuevo Soles = US$1). Income was treated as a continuous variable. Linear regression analysis was used for continuous characteristic variables (e.g., age) and student’s t test/ANOVA was used for categorical characteristic variables (e.g., high school completion). SW = sex work; IQR = interquartile range.

p < .1

*

p < .05

**

p < .01

***

p < .001, for associations between study characteristics (first column) and total income.