Ā | Cabo Delgado | Gaza | Inhambane | Manica | Maputo City | Maputo Province | Nampula | Niassa | Sofala | Tete | Zambezia | Mozambique |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Number of health workers | 1553 | 1446 | 1721 | 1653 | 2538 | 1292 | 3386 | 1349 | 2569 | 1579 | 2925 | 22Ā 011 |
Age [mean (SD)] | 34.94 (9.39) | 33.81 (9.15) | 33.87 (9.37) | 34.47 (9.52) | 37.10 (10.68) | 34.99 (9.05) | 36.03 (9.56) | 36.36 (9.46) | 34.56 (10.07) | 35.22 (9.61) | 35.00 (9.68) | 35.24 (9.73) |
Age category [N, (%)] | ||||||||||||
Ā <ā30Ā years | 525 (33.8) | 554 (38.3) | 694 (40.3) | 560 (33.9) | 721 (28.4) | 408 (31.6) | 902 (26.6) | 343 (25.4) | 977 (38.0) | 530 (33.6) | 942 (32.2) | 7156 (32.5) |
Ā 30ā50Ā years | 848 (54.6) | 737 (51.0) | 845 (49.1) | 925 (56.0) | 1348 (53.1) | 746 (57.7) | 2061 (60.9) | 845 (62.6) | 1291 (50.3) | 879 (55.7) | 1624 (55.5) | 12Ā 149 (55.2) |
Ā >ā50Ā years | 179 (11.5) | 155 (10.7) | 182 (10.6) | 168 (10.2) | 469 (18.5) | 138 (10.7) | 422 (12.5) | 161 (11.9) | 301 (11.7) | 169 (10.7) | 359 (12.3) | 2703 (12.3) |
Male (%) | 909 (58.5) | 531 (36.7) | 656 (38.1) | 845 (51.1) | 751 (29.6) | 416 (32.2) | 1765 (52.1) | 796 (59.0) | 1251 (48.7) | 780 (49.4) | 1705 (58.3) | 10Ā 405 (47.3) |
Category [N, (%)] | ||||||||||||
Ā MCH nurses | 351 (22.6) | 304 (21.0) | 467 (27.1) | 363 (22.0) | 449 (17.7) | 305 (23.6) | 796 (23.5) | 330 (24.5) | 532 (20.7) | 357 (22.6) | 554 (18.9) | 4808 (21.8) |
Ā Nurses | 368 (23.7) | 436 (30.2) | 441 (25.6) | 477 (28.9) | 892 (35.1) | 278 (21.5) | 945 (27.9) | 393 (29.1) | 852 (33.2) | 414 (26.2) | 906 (31.0) | 6402 (29.1) |
Ā Physicians | 45 (2.9) | 53 (3.7) | 73 (4.2) | 58 (3.5) | 304 (12.0) | 75 (5.8) | 122 (3.6) | 44 (3.3) | 112 (4.4) | 48 (3.0) | 91 (3.1) | 1025 (4.7) |
Ā Dentists | 23 (1.5) | 39 (2.7) | 37 (2.1) | 31 (1.9) | 39 (1.5) | 46 (3.6) | 70 (2.1) | 19 (1.4) | 47 (1.8) | 33 (2.1) | 45 (1.5) | 429 (1.9) |
Ā Pharmacists | 116 (7.5) | 67 (4.6) | 110 (6.4) | 114 (6.9) | 186 (7.3) | 80 (6.2) | 243 (7.2) | 104 (7.7) | 185 (7.2) | 131 (8.3) | 199 (6.8) | 1535 (7.0) |
Ā Laboratorians | 100 (6.4) | 76 (5.3) | 127 (7.4) | 115 (7.0) | 181 (7.1) | 87 (6.7) | 233 (6.9) | 69 (5.1) | 169 (6.6) | 157 (9.9) | 217 (7.4) | 1531 (7.0) |
Ā Medical technicians | 272 (17.5) | 255 (17.6) | 181 (10.5) | 232 (14.0) | 122 (4.8) | 164 (12.7) | 467 (13.8) | 201 (14.9) | 349 (13.6) | 192 (12.2) | 434 (14.8) | 2869 (13.0) |
Ā Public health technicians | 151 (9.7) | 114 (7.9) | 159 (9.2) | 121 (7.3) | 72 (2.8) | 155 (12.0) | 270 (8.0) | 85 (6.3) | 157 (6.1) | 111 (7.0) | 293 (10.0) | 1688 (7.7) |
Ā Other technicians | 127 (8.2) | 102 (7.1) | 126(7.3) | 142 (8.6) | 293 (11.5) | 102 (7.9) | 240 (7.1) | 104 (7.7) | 166 (6.5) | 136 (8.6) | 186 (6.4) | 1724 (7.8) |
Salary source [N, (%)] | ||||||||||||
Ā Government | 1489 (95.9) | 1332 (92.1) | 1655 (96.2) | 1486 (89.9) | 2118 (83.5) | 1025 (79.3) | 2976 (87.9) | 1235 (91.5) | 2074 (80.7) | 1216 (77.0) | 2849 (97.4) | 19Ā 455 (88.4) |
Ā PROSAUDEa | 62 (4.0) | 93 (6.4) | 66 (3.8) | 167(10.1) | 365 (14.4) | 255 (19.7) | 408 (12.0) | 114 (8.5) | 495 (19.3) | 362 (22.9) | 57 (1.9) | 2444 (11.1) |
Ā Others | 2 (0.1) | 21 (1.5) | 0 (0.0) | 0 (0.0) | 55 (2.2) | 12 (0.9) | 2 (0.1) | 0 (0.0) | 0 (0.0) | 1 (0.1) | 19 (0.6) | 112 (0.5) |
Number of CHW | 362 | 232 | 246 | 270 | 0 | 158 | 637 | 322 | 212 | 213 | 470 | 3122 |
Male (%) | 292 (80.7) | 54 (23.3) | 127 (51.6) | 234 (86.7) | ā | 50.0 (31.6) | 519 (81.5) | 258 (80.1) | 197 (92.9) | 200 (93.9) | 343 (73.0) | 2274 (72.8) |