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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