From: Is Ghana’s pro-poor health insurance scheme really for the poor? Evidence from Northern Ghana
Variable | Response options | Insured | Uninsured | p-value | Total N = 5469 | ||
---|---|---|---|---|---|---|---|
Number | Percent | Number | Percent | ||||
Location | Rural | 1,812 | 38.1 | 2,947 | 61.9 | 4,759 | |
Urban | 376 | 53.0 | 334 | 47.0 | <0.001 | 710 | |
District | Bawku East | 449 | 44.7 | 556 | 55.3 | 1,005 | |
Bawku West | 161 | 28.1 | 413 | 71.9 | <0.001 | 574 | |
Bolgatanga | 252 | 53.1 | 223 | 46.9 | 475 | ||
Bongo | 238 | 38.3 | 384 | 61.7 | 622 | ||
Builsa | 477 | 51.4 | 451 | 48.6 | 928 | ||
Garu-Tempane | 356 | 30.4 | 816 | 69.6 | 1,172 | ||
Talensi-Nabdan | 255 | 36.8 | 438 | 63.2 | 693 | ||
Education | None | 1,239 | 37.3 | 2,085 | 62.7 | <0.001 | 3,324 |
Primary/JSS | 766 | 41.1 | 1,099 | 58.9 | 1,865 | ||
Sec/tertiary | 183 | 65.4 | 97 | 34.6 | 280 | ||
Age | 15–17 | 431 | 35.8 | 774 | 64.2 | <0.001 | 1,205 |
18–29 | 1,074 | 44.2 | 1,356 | 55.9 | 2,430 | ||
30–49 | 683 | 37.2 | 1,356 | 62.8 | 1,834 | ||
Marital status | Married | 1,519 | 41.3 | 2,157 | 58.7 | 0.005 | 3,676 |
Not Married | 669 | 37.3 | 1,124 | 62.7 | 1,793 | ||
Socio-economic status of household | Quintile 1 (poorest) | 383 | 33.9 | 746 | 66.1 | 1,129 | |
Quintile 2 | 429 | 36.9 | 733 | 63.1 | 1,162 | ||
Quintile 3 | 389 | 33.3 | 780 | 66.7 | <0.001 | 1,169 | |
Quintile 4 | 369 | 38.9 | 580 | 61.1 | 949 | ||
Quintile 5 (richest) | 618 | 58.3 | 442 | 41.7 | 1,060 | ||
Autonomy | Yes | 1,112 | 39.6 | 1,699 | 60.4 | 0.486 | 2,811 |
No | 1,076 | 40.5 | 1,582 | 59.5 | 2,658 | ||
No of children | 0 | 560 | 36.8 | 962 | 63.2 | 1,522 | |
1–4 | 1,045 | 46.1 | 1,221 | 53.9 | <0.001 | 2,266 | |
5+ | 583 | 34.7 | 1,221 | 65.3 | 1,681 | ||
Occupation | Farmer/trader | 1,718 | 39.5 | 2,629 | 60.5 | 4,347 | |
Civil servant | 57 | 72.2 | 22 | 27.9 | <0.001 | 79 | |
Student | 413 | 39.6 | 630 | 60.4 | 1,043 |