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Table 2 Participants socio-demographic profile

From: How do gender and disability influence the ability of the poor to benefit from pro-poor health financing policies in Kenya? An intersectional analysis

Participant

Age

Type of disability

Highest level of education

Marital status

Source of income

Residence

Participant description

1

70

mobility impaired

none

single

small-scale trading

urban

HDSS resident

2

32

mobility impaired

primary

single

laundering

urban

HDSS resident

3

30

mobility impaired

pre-school

married

none

urban

HDSS resident

4

35

visually impaired

secondary

separated

community health volunteer

urban

HISP beneficiary

5

60

mobility impaired

primary

divorced

small-scale trading

urban

HISP beneficiary

6

57

mobility impaired

primary

widowed

subsistence farming

rural

HDSS resident

7

48

mobility impaired

primary

married

subsistence farming

rural

HISP beneficiary

8

24

mobility impaired

none

married

small-scale trading

rural

HDSS resident

9

77

visually impaired

none

widowed

government cash transfer

rural

HISP beneficiary

10

81

visually impaired

none

widowed

government cash transfer

rural

HISP beneficiary

11

58

mobility impaired

primary

single

small-scale trading

rural

HISP beneficiary