Skip to main content

Table 2 Socioeconomic and demographic characteristics of study sample of under-five children, Nepal MICS 2019 (N = 6288)

From: Socioeconomic and demographic correlates of child nutritional status in Nepal: an investigation of heterogeneous effects using quantile regression

Variables

Mean (SD) or frequency (%)

Height-for-age z-scores (HAZ)

-1.3 (1.5)

Child characteristics

 Child’s age (months)

30.4 (17.3)

 Child’s sex

  Female

2976 (47.3)

  Male

3312 (52.7)

 Birth order

  First

2668 (42.4)

  Second and third

2904 (46.2)

  Fourth and above

716 (11.4)

Mother’s characteristics

 Mother’s age at birth

  < 20 years

1136 (18.1)

  20–34 years

4800 (76.3)

  > 34 years

352 (5.6)

 Education status of mother

  No formal education

1563 (24.9)

  Primary education (grade1-5)

964 (15.3)

  Secondary education (grade 6–10)

2428 (38.6)

  Higher secondary and above (grade 11 and above)

1333 (21.2)

Household characteristics

 Number of under-five children in household

  One

3831 (60.9)

  Two

1936 (30.8)

  Three

414 (6.6)

  Four or more

107 (1.7)

 Number of household members

  Two to five members

3230 (51.4)

  Six to eight members

2215 (35.2)

  Nine or more members

843 (13.4)

 Source of drinking water

  Improved

5734 (91.2)

  Unimproved

554 (8.8)

 Type of toilet facility

  Improved

5819 (92.5)

  Unimproved

469 (7.5)

 Ethnicity

  Brahmin, Chhetri and Madhesi

2690 (42.8)

  Janajati and Newar

2102 (33.4)

  Dalit and Muslim

977 (15.5)

  Others (eg. Marwadi, Bangali)

519 (8.3)

 Residence

  Rural

2214 (35.2)

  Urban

4074 (64.8)

 Province

  Province 1

991 (15.8)

  Madhesh province

1451 (23.1)

  Bagmati province

1190 (18.9)

  Gandaki province

459 (7.3)

  Lumbini province

1169 (18.6)

  Karnali province

412 (6.5)

  Sudurpaschim province

616 (9.8)

 Wealth index quintile

  Poorest

1458 (23.2)

  Poor

1294 (20.6)

  Middle

1274 (20.3)

  Richer

1215 (19.3)

  Richest

1047 (16.6)

Total

6288 (100)

  1. Abbreviation: SD Standard Deviation, MICS Multiple Indicator Cluster Survey