Skip to main content

Table 2 Percentage of households using distress financing by selected socio-economic variables and EAG + A and non-EAG states, India,2014–15 to 2017–18

From: Distress financing in coping with out-of-pocket expenditure for maternity care in India

Variables Categories 2014–15 2017–18
Age of the mother (in Years) 15–24 19.5 14.3
25–34 15.0 11.4
35–44 13.3 8.8
45 +  6.6 28.0
Residence Rural 17.7 12.7
Urban 15.2 11.7
Literacy of mother No literate 19.4 13.7
Literate without schooling 23.9 6.9
Primary 16.8 11.7
Secondary 17.7 13.2
Higher secondary 16.4 12.3
Graduate and above 10.6 10.3
Occupation of the mother Unpaid - 12.4
Student - 8.6
Self-employed - 14.6
Casual labour - 18.2
Pension - 8.5
Other - 18.7
Salaried - 9.3
Caste ST 12.3 10.9
SC 19.1 14.1
Others 17.1 12.1
Religion Hindu 17.1 12.8
Muslim 18.0 11.6
Others 12.3 9.6
Wealth quartile Quartile 1 18.4 13.2
Quartile 2 19.3 13.8
Quartile 3 17.1 13.2
Quartile 4 13.4 9.5
Type of health facility Public 13.3 11.2
Private 23.6 15.4
EAG + A Uttarakhand 0.7 8.1
Rajasthan 7.8 7.5
Uttar Pradesh 14.2 14.3
Bihar 25.1 7.7
Assam 3.3 3.6
Jharkhand 13.4 15.0
Odisha 22.4 6.5
Chhattisgarh 13.7 6.8
Madhya Pradesh 8.9 18.3
EAG + A 14.0 11.3
Non-EAG Non-EAG 20.0 13.8
Total India 17.0 12.5
  1. Note: The number of samples for the sale of physical assets category are very less to calculate averages