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Global Health Economics and
            Sustainability
                                                                 Impact of socio-demographics on MMR, TFR, & FP in Pakistan


            investments in the health sector, improving antenatal   CPR increased from 12% in 1990 – 1991 to 29.6% in 2006
            and postnatal care, deliveries assisted by skilled   – 2007, with notable growth in “any method” (combination
            birth attendants, and institutional deliveries, these   of modern and traditional methods) and “modern method”
            improvements are yet to be reflected in a significantly   (only non-traditional  methods).  However,  progress
            lowered MMR. A  possible explanation is the high   stagnated in subsequent years, with the CPR reaching 35.4%
            large-scale migration rate from rural to urban areas,   in 2012 – 2013 and even declining slightly to 34.2% in 2017
            from the northern to southern regions of the country,   – 2018 (Figure 5). According to the 2017 – 2018 PDHS,
            and even from other countries, which has resulted in   the current use of any contraceptive method in rural areas
            vast slum and peri-urban areas. These areas may be   is 29.4%, and that in urban areas is 42.5%. The use of any
            undermining sustained improvements in the health   method of contraception is 28.6% among women with no
            sector, as they are often unplanned thus, deprived of   education, and this rises to 44% among those with higher
            educational opportunities, poverty reduction measures,   education. A significant disparity is also observed between
            and prospects for women’s empowerment. In general,   the lowest (20.1%) and highest wealth quintiles (44.5%).
            however, there has been significant improvement in   These  figures suggest that family planning services have
            antenatal care, postnatal care, and institutional deliveries
            across  the  country  owing  to  increased  awareness  and
            access to services.
            2.2. Fertility trends
            Fertility decline in Pakistan has historically been slow,
            as highlighted by a comparison of four rounds of the
            Pakistan Demographic and Health Survey (PDHS). The
            total fertility rate (TFR) was 4.9 in 1990 – 1991, 4.1 in
            2006 – 2007; 3.8 in 2012 – 2013; and 3.6 in 2017 – 2018
            (PDHS, 2006 – 2007). At present, the TFR is 3.6 children
            per woman of reproductive age (15 – 49 years). There is   Figure 4. Fertility trends by background characteristics (PDHS, NIPS,
            a significant disparity between urban and rural TFRs,   2017 – 2018)
            with urban and rural areas reporting TFRs of 2.9 and 3.9,
            respectively. Analysis of fertility through demographic
            background shows that fertility is highest among women
            with no education, from rural backgrounds, and in the
            lowest wealth quintile (Figure  4). The TFR for women
            with no education is 4.2, compared with 2.6 for those
            with higher education. Meanwhile, in terms of wealth
            quintiles, the TFR for women in the lowest quintile is 4.9,
            whereas it is 2.8 for those in the highest quintile. Those
            in urban areas show lower TFR compared with those in
            rural areas (2.9 vs. 3.9, respectively; PDHS 2017 – 2018,
            NIPS, 2017-18n.d.).
              Comparing the wanted fertility rate with TFR offers   Figure  5. Contraceptive prevalence rate trends from 1990 – 1991 to
            additional insights. In urban areas, the wanted fertility rate   2017 – 2018 (PDHS various Reports)
            was 2.4, compared with 3.2 in rural areas. Women with
            no education had higher wanted fertility rates (3.5) than   Table 1. Background characteristics versus fertility outcomes
            those with higher education (2.2). The wanted fertility rate
            among women in the lowest wealth quintile was 4, whereas   Background Characteristics  Fertility outcomes  Wanted fertility
            it  was  2.4  in  the  highest  wealth  quintile.  These  findings   Urban   2.4           -
            suggest that background characteristics have a significant   Rural           3.2           -
            influence on fertility outcomes (Table 1).         No education               -           3.5

            2.3. CPR                                           Higher education           -           2.2
            Pakistan’s CPR showed a significant increase during the   Lowest quintile     -            4
            1990s. However, progress has been slow after this rise. The   Highest quintile  -         2.4


            Volume 3 Issue 1 (2025)                         79                       https://doi.org/10.36922/ghes.2531
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