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. 2023 Jun 20;23:320. doi: 10.1186/s12905-023-02469-y

Table 1.

Percentage distribution of early marriage by different socioeconomic characteristics of the sample

Characteristics Total respondents,
N (%)g
Early marriageh
n (%)
Prevalence of early marriage 58.85 (57.21–60.47)
Women’s age (in years)a
 20 876 (21.08) 482 (55.01)
 21 867 (20.85) 527 (60.76)
 22 858 (20.65) 494 (57.54)
 23 746 (17.94) 454 (60.89)
 24 809 (19.47) 489 (60.47)
Women’s educationb
 No formal education 145 (3.49) 109 (75.03)
 Primary 908 (21.84) 666 (73.32)
 Secondary 1905 (45.78) 1368 (71.80)
 Higher 1202 (28.90) 303 (25.20)
Husband’s educationa, f
 No formal education 423 (10.53) 305 (72.16)
 Primary 1289 (32.09) 844 (65.49)
 Secondary 1527 (38.02) 877 (57.42)
 Higher 777 (19.35) 327 (42.07)
Religiona
 Muslim 3828 (92.11) 2282 (59.61)
 Non-Muslim 328 (7.89) 164 (49.99)
Wealth indexc
 Poorest 679 (16.32) 504 (74.24)
 Poorer 769 (18.49) 491 (63.90)
 Middle 821 (19.74) 495 (60.36)
 Richer 938 (22.55) 523 (55.74)
 Richest 952 (22.90) 432 (45.41)
Family sizea
 Small (≤ 4 members) 1768 (42.56) 1106 (62.56)
 Large (> 4 members) 2387 (57.44) 1339 (56.10)
Place of residenced
 Urban 1275 (30.68) 696 (54.57)
 Rural 2881 (69.32) 1750 (60.73)
Divisione
 Barisal 209 (5.03) 135 (64.63)
 Chattogram 814 (19.59) 440 (54.07)
 Dhaka 1139 (27.41) 656 (57.57)
 Khulna 391 (9.41) 241 (61.62)
 Mymensingh 306 (7.37) 197 (64.39)
 Rajshahi 520 (12.50) 364 (70.11)
 Rangpur 433 (10.41) 290 (66.96)
 Sylhet 344 (8.27) 122 (35.36)
Community-level illiteracyb
 < 25 (low) 966 (23.21) 495 (51.26)
 25 to 50 (Moderate) 2396 (57.59) 1412 (58.95)
 > 50 (high) 799 (19.20) 538 (67.36)
Community-level povertyc
 > 41.0 (High poverty) 1820 (43.77) 1185 (65.09)
 16–41 (Moderate poverty) 1029 (24.75) 611 (59.39)
 < = 15 (Low poverty) 560 (13.45) 255 (45.54)
 Middle or rich community 749 (18.02) 395 (52.70)

aEstimates were adjusted or weighted by all women factor-total

bEstimates were adjusted or weighted by all women factor-education

cEstimates were adjusted or weighted by all women factor-wealth quintile

dEstimates were adjusted or weighted by all women factor-urban/rural

eEstimates were adjusted or weighted by all women factor-regional

fThere were some missing values in husband’s education (n = 4019)

gColumn percentage

hRow percentage