Using data from Ghana Demographic and Health Survey 2014

By Ama Owusu-Darko

The data used for this analysis came from the Women’s Individual Survey of the Ghana Demographic and Health Survey 2014 and was downloaded from the Demographic and Health Survey website www.dhsprogram.com.

Table 1: A table showing the distribution of the selected variables

birth before 19
(N=2852)
birth after 19
(N=3045)
Overall
(N=5897)
age
Mean (SD) 33.8 (8.55) 35.2 (7.35) 34.6 (7.99)
Median [Min, Max] 34.0 [15.0, 49.0] 35.0 [20.0, 49.0] 35.0 [15.0, 49.0]
early_mar
married before 19 2468 (86.5%) 945 (31.0%) 3413 (57.9%)
married after 19 384 (13.5%) 2100 (69.0%) 2484 (42.1%)
urban
urban 1052 (36.9%) 1622 (53.3%) 2674 (45.3%)
rural 1800 (63.1%) 1423 (46.7%) 3223 (54.7%)
lit2
cannot read at all 2148 (75.3%) 1710 (56.2%) 3858 (65.4%)
able to read only part of sentence 217 (7.6%) 251 (8.2%) 468 (7.9%)
able to read whole sentence 483 (16.9%) 1077 (35.4%) 1560 (26.5%)
no card with required language 3 (0.1%) 5 (0.2%) 8 (0.1%)
blind or visually impaired 1 (0.0%) 2 (0.1%) 3 (0.1%)
educlvl
no education 1135 (39.8%) 926 (30.4%) 2061 (34.9%)
primary 695 (24.4%) 472 (15.5%) 1167 (19.8%)
secondary 1002 (35.1%) 1449 (47.6%) 2451 (41.6%)
higher 20 (0.7%) 198 (6.5%) 218 (3.7%)
total years education
Mean (SD) 4.28 (4.22) 6.39 (5.30) 5.37 (4.92)
Median [Min, Max] 4.00 [0, 18.0] 8.00 [0, 18.0] 6.00 [0, 18.0]

From Figures 1-3 below, the histograms show the following trend. As compared to urban women, rural women are more likely to have their first child before the age of 23. (indicated by the blue bar)

The inflection point is age 23, where the trend shows urban women having higher percentages of first births at the ages 23 to 43.

Null Hypothesis=There is no association between the likelihood that a woman had her first child before the age of 19 and whether she is currently living in an urban or rural area

Alternate Hypothesis=There is an association between the likelihood that a woman had her first child before the age of 19 and whether she is currently living in an urban or rural area

## # A tibble: 2 x 4
##   urban `birth before 19` `birth after 19` Total
##   <fct>             <dbl>            <dbl> <dbl>
## 1 urban              1052             1622  2674
## 2 rural              1800             1423  3223
## 
##  Pearson's Chi-squared test with Yates' continuity correction
## 
## data:  location_first_birth
## X-squared = 158.8, df = 1, p-value < 2.2e-16

Since the p-value is less than 0.05, we reject the null hypothesis thus indicating that there is an association between whether a woman currently lives in an urban or rural area and the likelihood that she gave birth to her first child before age 19.