Fertility
and mortality rates are two primary factors that determine changes in
population growth rates. According to demographers, fertility rate refers to
the number of births that occur to a woman at any given time in a society.
Fertility rates are often influenced by not only the psychological standing of
a woman but also, the economic, social and other health factors that guide
reproduction choices of a given country or society. Relationship status is a paramount
nonphysical factor that dictates the total fertility rate of a country.
Relationship status implies the commitment levels of a woman to her husband
that could otherwise expose them to pregnancy prevalence. The use of
contraceptives together induced prevalence of abortion is other non-physical
factors whose influence to a country’s fertility rates cannot be neglected (Harris 2012).
Diagram 2: Total
fertility rates in industrial, less developed, and least developed countries,
1950-2010
Source:
earth-policy.org
In comparison with the developed
economies, fertility levels in developing are often higher. This is relatively
because most women in third world countries and emerging economies are house
wives and are exposed to marriage pretty early. In addition, most of these
women are ignorant of family planning methods i.e. the use of contraceptives to
avert unwanted pregnancies. Moreover, their lack of exposure to schooling
disadvantages them in matters abortion. Abortion is often used by educated
women to delay pregnancy. In developed economies, most women have access to
good education. This has created avenues for them to acquire work outside their
homes. In addition, their engagement to work discourages early marriages hence
pregnancies are contained till later stages in life. Nevertheless, total
fertility rates of nearly all developing countries have fallen drastically
since the mid-20th century (Ewert
2012). Central and West African countries have showcased remarkable
improvement. Total fertility patterns often vary from one country to another. Most
of the time, Minorities i.e. in terms of race, ethnicity and tribe often
showcase higher rates of fertility in comparison with majority. On the other
hand, low income households or those with minimal exposure to education are
characterized by a lot of children than those who are literate or affluent. Another
notable aspect is that well educated women whom work stations are located
outside their homes tend to have few children than those who spend a lion’s
share of their time at home. Developing economies are often characterized by
large levels of people living in the rural areas than those living in the urban
areas. This unique characteristic is responsible for the high rates of
fertility. For example, households who reside in the rural areas often tend to
sire more children than those who reside in urban centers (Hunter 2000).
Mortality and life expectancy rates are
other variables that shape population growth trends magnificently. The age
structure of a people is an important characteristic as it guides death rates
in a society. In developing economies, death rates are high among young kids,
infants and the old. Therefore, societies or economies with large base of
elderly people often experience increased deaths that those economies whose
large group of citizens are the young or mid age adults. Courtesy of good
medical avenues, developed economies i.e. the United States and Europe have a
large portion of the elderly than the developing economies. From the
aforementioned, it is evident that despite having state of the art health
services, developing economies my witness high levels of death rates. To fully
understand longevity in a country, Life expectancy is often calculated by
demographers (McFee, et al. 2012). Life
expectancy can be defined as the average age a newborn child is able to live
considering a postulated yearly rate of mortality. After a kid passes through
early childhood stages, the probability that he/she could die in subsequent
years i.e. through adolescence is gradually reduced. In the year 2006 for example, life
expectancies of some developing ranged from mid-40s to a high of 70s in the United
States and some African states at birth. Considering how it is calculated, life
expectancy is litmus that can be used to ascertain the health levels of a
population. The general health of a people largely depends on a number of
aspects i.e. access to clean water, good nutrition, sanitation and access to
medication i.e. vaccination. A society
that has fully addressed all the above is better placed to avert preventable
illnesses that may otherwise lead to unnecessary deaths. Most children in
developing economies are often exposed to killer infections i.e. cholera and
typhoid courtesy of poor sanitation and lack of access to clean water (Jansen, et al. 2012).
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