Table 2.
Characteristics of women at COVID-19 follow-up survey by site, weighted
| Burkina Faso (n=2242) | Kinshasa, Democratic Republic of the Congo (n=560) | Kenya (n=3870) | Lagos, Nigeria (n=573) | ||
|---|---|---|---|---|---|
| Residence | |||||
| Urban | 374 (16·7%) | 560 (100·0%) | 1082 (28·0%) | 573 (100·0%) | |
| Rural | 1868 (83·3%) | .. | 2788 (72·0%) | .. | |
| Age (years) | |||||
| 15–24 | 500 (22·3%) | 50 (8·9%) | 638 (16·5%) | 15 (2·6%) | |
| 25–34 | 905 (40·4%) | 240 (42·9%) | 1731 (44·7%) | 229 (40·0%) | |
| 35–49 | 837 (37·3%) | 270 (48·2%) | 1501 (38·8%) | 329 (57·4%) | |
| Parity | |||||
| 0 | 118 (5·3%) | 41 (7·3%) | 162 (4·2%) | 29 (5·1%) | |
| 1–2 | 678 (30·2%) | 194 (34·7%) | 1315 (34·0%) | 228 (39·8%) | |
| ≥3 | 1445 (64·5%) | 325 (58·0%) | 2393 (61·8%) | 316 (55·1%) | |
| Education | |||||
| Less than secondary | 2002 (89·4%) | 61 (10·9%) | 2249 (58·1%) | 85 (14·8%) | |
| Secondary or higher | 238 (10·6%) | 499 (89·1%) | 1621 (41·9%) | 488 (85·2%) | |
| Wealth | |||||
| Low | 813 (36·3%) | 177 (31·6%) | 1512 (39·1%) | 179 (31·2%) | |
| Middle | 853 (38·0%) | 174 (31·1%) | 1261 (32·6%) | 179 (31·2%) | |
| High | 576 (25·7%) | 209 (37·3%) | 1097 (28·3%) | 215 (37·5%) | |
| Economic loss due to COVID-19 | |||||
| None | 514 (23·0%) | 32 (5·8%) | 242 (6·2% | 31 (5·4%) | |
| Partial | 1331 (59·4%) | 153 (27·4%) | 1962 (50·8%) | 346 (60·4%) | |
| Complete | 396 (17·7%) | 373 (66·8%) | 1664 (43·0%) | 196 (34·2%) | |
| Need for contraception | 1569 (70·0%) | 390 (69·6%) | 3196 (82·6%) | 460 (80·3%) | |
| Contraceptive use among women in need | 757 (50·9%) | 263 (69·0%) | 2574 (80·5%) | 280 (61·6%) | |
Data are n (%). Due to small amounts of missing data, not all data sum to the totals in the table headings.