Inequality Dimension | 2004 (24.9%) | 2007 (43.1%) | 2011 (47.1%) | 2014 (50.8%) | 2017 (59.0%) | |||||
---|---|---|---|---|---|---|---|---|---|---|
 | n | Estimate (95% CI) | n | Estimate (95% CI) | n | Estimate (95% CI) | n | Estimate (95% CI) | n | Estimate (95% CI) |
Economic Status | ||||||||||
Quintile 1 (poorest) | 658 | 15.7 (13.0, 18.8) | 472 | 43.3 (38.3, 48.5) | 718 | 49.9 (45.1, 54.8) | 699 | 56.9 (51.1, 62.5) | 721 | 65.7 (61.6, 69.5) |
Quintile 2 | 510 | 24.8 (20.7, 29.4) | 504 | 41.8 (36.7, 47.0) | 652 | 46.6 (42.0, 51.2) | 618 | 50.3 (44.3, 56.2) | 736 | 64.4 (60.5, 68.1) |
Quintile 3 | 563 | 26.6 (22.2, 31.5) | 443 | 45.8 (40.3, 51.4) | 647 | 49.1 (44.5, 53.7) | 641 | 50.1 (45.4, 54.7) | 672 | 55.6 (50.9, 60.2) |
Quintile 4 | 450 | 33.7 (28.2, 39.7) | 447 | 45.1 (39.2, 51.1) | 673 | 48.0 (43.9, 52.2) | 631 | 52.0 (47, 56.9) | 710 | 53.3 (49.2, 57.3) |
Quintile 5 (richest) | 434 | 27.8 (23.9, 32.2) | 430 | 39.4 (34.5, 44.4) | 576 | 40.6 (36.5, 44.9) | 616 | 44.0 (39.4, 48.7) | 658 | 55.2 (50.4, 59.9) |
Level of Education | ||||||||||
No Education | 891 | 21.1 (18.3, 24.3) | 514 | 42.4 (36.9, 48.1) | 551 | 46.9 (41.8, 52.1) | 433 | 55.6 (48.7, 62.2) | 222 | 60.9 (53.0, 68.3) |
Primary School | 809 | 22.8 (19.8, 26.0) | 684 | 44.4 (40.2, 48.7) | 971 | 48.9 (44.9, 53.0) | 905 | 54.3 (48.3, 60.2) | 969 | 63.6 (60.1, 67.0) |
Secondary / Higher | 916 | 30.5 (26.8, 34.4) | 1089 | 42.5 (38.8, 46.3) | 1742 | 46.1 (43.4, 48.8) | 1867 | 48 (45.2, 50.8) | 2307 | 56.9 (54.4, 59.3) |
Place of Residence | ||||||||||
Rural | 2118 | 25.2 (22.9, 27.7) | 1796 | 44.1 (40.6, 47.6) | 2526 | 47.9 (45.3, 50.5) | 2370 | 52.8 (49.6, 55.9) | 2569 | 59.8 (57.3, 62.3) |
Urban | 498 | 23.6 (19.9, 27.7) | 499 | 39.5 (35.6, 43.5) | 738 | 44.3 (40.7, 48.0) | 836 | 45.3 (40.5, 50.1) | 928 | 56.8 (52.9, 60.6) |
Sex of child | ||||||||||
Female | 1328 | 23.5 (21.1, 26.0) | 1143 | 43.6 (39.8, 47.6) | 1592 | 46.1 (43.0, 49.2) | 1500 | 50.9 (47.5, 54.3) | 1685 | 59.1 (56.2, 61.9) |
Male | 1288 | 26.4 (23.6, 29.5) | 1152 | 42.5 (39.2, 45.9) | 1673 | 48 (45.1, 50.9) | 1705 | 50.7 (47.1, 54.2) | 1812 | 58.9 (56.2, 61.5) |
Sub-National Regions | ||||||||||
Barisal | 157 | 20.9 (15.4, 27.7) | 132 | 50.8 (45.5, 56.1) | 177 | 43.6 (37.0, 50.3) | 185 | 52.0 (45.0, 59.0) | 209 | 60.3 (55.7, 64.8) |
Chattogram | 567 | 19.7 (15.1, 25.3) | 526 | 34.9 (29.6, 40.5) | 783 | 46.2 (41.5, 50.8) | 682 | 45.8 (40.8, 50.8) | 738 | 54.0 (48.3, 59.6) |
Dhaka | 794 | 23.5 (20.0, 27.5) | 729 | 43.7 (38.9, 48.6) | 988 | 43.0 (38.6, 47.5) | 1182 | 51.8 (45.8, 57.8) | 887 | 60.6 (55.5, 65.4) |
Khulna | 280 | 28.3 (24.4–32.6) | 193 | 51.9 (42.6–61.1) | 305 | 45.7 (40.5–50.9) | 250 | 39.1 (34.0-44.5) | 322 | 49.2 (42.9–55.6) |
Mymensingh | - | - | - | - | - | - | - | - | 298 | 64.0 (58.9, 68.8) |
Rajshahi | 595 | 29.2 (24.7, 34.2) | 522 | 43.4 (35.9, 51.3) | 439 | 53.5 (47.1, 59.8) | 323 | 52.5 (47.5, 57.6) | 387 | 57.6 (52.2, 62.9) |
Rangpur | - | - | - | - | 334 | 50.8 (44.7, 56.8) | 292 | 59.9 (54.5, 65.0) | 379 | 65.5 (60.1, 70.5) |
Sylhet | 224 | 30.0 (24.9, 35.8) | 193 | 48.0 (41.6, 54.4) | 238 | 54.0 (48.5, 59.4) | 292 | 56.6 (50.1, 62.9) | 278 | 65.3 (60.2, 70.0) |