The social paradoxes of commercial surrogacy in developing countries: India before the new law of 2018

Table 2 Sociodemographic characteristics of surrogates interviewed

	n/N^(a)	%	95% CI^(b)
Age (years)
21–24	6/30	20	[8–39]
25–29	14/30	47	[29–65]
30–33	10/30	33	[18–53]
City of recruitment
Chennai	15/33	45	[29–63]
Mumbai	16/33	48	[31–66]
New Delhi	2/33	6	[1–22]
Marital status
Single (separated, divorced, widow)	7/33	21	[10–39]
Married (living with husband)	26/33	79	[10–39] [61–90]
Number of children
1	11/32	34	[19–53]
2	16/32	50	[32–68]
3	5/32	16	[6–34]
Education level
Illiterate	2/29	7	[1–24]
Primary (up to 6th)	10/29	34	[19–54]
Secondary (7th to 11th)	13/29	45	[27–64]
Graduate school	4/29	14	[5–33]
Professional activity
Housewife	11/32	34	[19–53]
Wage-paid employment	21/32	66	[47–81]
Monthly family income (in Indian rupees)
< 10,000	5/13	38	[15–68]
10,000	3/13	23	[6–54]
> 10,000	5/13	38	[15–68]
Religion
Hindu	22/31	71	[52–85]
Muslim	5/31	16	[6–34]
Christian	4/31	13	[4–31]

^(a)For each item, the number (N) of surrogates who answered the question is indicated so that the item could be coded
^(b)As per recommendations for the analysis of small sample data, confidence intervals were estimated using the Wilson score interval with continuity correction [43]. Contrary to confidence intervals based on the classic approximation by Gaussian law, the Wilson score intervals are non-centered confidence intervals