12.07.2015 Views

Bangladesh 1993-1994 Demographic and Health ... - Measure DHS

Bangladesh 1993-1994 Demographic and Health ... - Measure DHS

Bangladesh 1993-1994 Demographic and Health ... - Measure DHS

SHOW MORE
SHOW LESS
  • No tags were found...

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

Figure 3.4Trends in the Total Fertility RateFrom Selected Sources, <strong>Bangladesh</strong>, 1980-<strong>1993</strong>Births per Womana2 . . . . . . ; . ' .80 81 82 83 84 85 87 8 89 91 92 g3YearNote: All survey rates are based on 3-year moving averages,except most recent year (2-year average)Source: Table 3.4Unlike survey data, the data from the Matlab district (Fable 3.4, last two columns) are collected ina surveillance system in which women are interviewed by field workers every two weeks. Thus, the data areless likely than survey data to suffer from recall error or problems in remembering or reporting dates. Thedemographic surveillance system covers a population of approximately 100,000 each in a "treatment" area,in which an intensive matemal <strong>and</strong> child health <strong>and</strong> family planning program has been in effect <strong>and</strong> a"comparison" area in which the residents receive the normal government <strong>and</strong> private health care (ICDDR,B,<strong>1994</strong>:2). Although data from Matlab are not nationally representative <strong>and</strong> therefore not comparable to datafrom the other sources, they do provide evidence of the unprecedented decline in fertility that has taken placein <strong>Bangladesh</strong>. Figure 3.5 shows the total fertility rates for the Matlab study area <strong>and</strong> the <strong>1993</strong>-94 B<strong>DHS</strong>fertility rates for the period 1982 to <strong>1993</strong>. The data from the B<strong>DHS</strong> <strong>and</strong> the Matlab comparison area showroughly comparable rates of decline over time, although, once again, the decline depicted from the B<strong>DHS</strong>is steeper than that from the surveillance system.The fact that the low fertility rates reported in the B<strong>DHS</strong> for the years immediately preceding thesurvey are not accompanied by a proportionately large increase in contraceptive use, in age at marriage, orin another of the major fertility determinants, invites an investigation into data quality. A review of the datareveals no obvious systematic errors such as omission or displacement of births that are often found in surveydata (see Appendix C.2). Moreover, a recent study in which data from a B<strong>DHS</strong>-type survey in the Matlabarea were compared with those from the ICDDR, B surveillance system, showed almost identical fertilityrates in the two sources, thus lending support to the B<strong>DHS</strong> fertilty data (see Appendix C.2). Some researchershypothesize that <strong>Bangladesh</strong>i surveys routinely underestimate recent fertility because women tend tooverreport the ages of their young children (Clel<strong>and</strong> et at., <strong>1993</strong>:14; Clel<strong>and</strong> et al., <strong>1994</strong>:17,18). To the extentthat such age overreporting is r<strong>and</strong>om--that is, not selective of women with certain characteristics--it wouldnot be readily detectable in the data. However, if age overreporting is a widespread cultural phenomenon,it would presumably have also affected the fertility rates reported in prior surveys. Thus, although the levelof the total fertility rate reported in the B<strong>DHS</strong> for the years immediately preceding the survey may beunderestimated, if rates from previous surveys were similarly affected, the data nonetheless indicate anextremely rapid decline in fertility in <strong>Bangladesh</strong> over the past two decades.29

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!