Female sex workers in Africa: Epidemiology overview, data gaps, ways forward

Figures & data

Table 1. Descriptive statistics of Kibera FSWs and women in other economic occupations.

Question	Female		Kibera women in other occupations
	Sex worker (n = 161)		n = 159
When were you born? (AGE)	M = 30.39		M = 29.32
	SD = 7.93		SD = 7.20
How many years have you lived in Nairobi?	M = 16.93		M = 11.16
	SD = 9.30		SD = 9.09
What was the highest education level that you attained?	None	100	None	48
	Primary	19	Primary	50
	Secondary	37	Secondary	55
	Post-secondary	3	Post-secondary	6
What is your current marital status?	Never married	116	Never married	45
	Married	1	Married	78
	Divorced	38	Divorced	29
	Widowed	6	Widowed	7
How many biological/adopted children have you ever raised?	M = 3.53		M = 3.43
	SD = 3.13		SD = 3.05
Notes: M = mean; SD = standard deviation.
Source: From Ngugi, Benoit, Hallgrimsdottir, Jansson & Roth (2012a)

Fig. 1. ‘Yes’ responses to the question ‘Everyone at one time or another needs economic help. In these times who do you think you could go to for money?’ (After Ngugi et al., 2012).

Fig. 2. Occupations of clients.

Source: Meru Source: E. Ngugi, A. Ferguson, C. Morris 2005.

Ngugi , E. , Benoit , C. , Hallgrimsdottir , H. , Jansson , M. and Roth , E. 2012a . Partners and clients of female sex workers in an informal urban settlement in Nairobi, Kenya . Culture, Health and Sexuality , 14 ( 1–2 ) : 17 – 30 .

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