The Population Fluctuation Depending on the death rate, birth rate, migration and emigration

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The population fluctuation of an area depends on factors such as the death rate, birth rate, migration and emigration. These are affected by natural and man-made factors. The natural factors include diseases, earthquakes, hurricanes and typhoons.  Factor such as disease have been known to wipe out entire populations, in some scenarios fear of outbreak of diseases such as Ebola have led to migration of large chunks of the population.

Contagious diseases also prevent people from migrating to certain regions; this is because of fear of infection. Earthquakes are an important factor in population variation; areas which are prone to earthquakes are generally less populated compared to how they would be if there were no earthquakes in the region.  Earthquakes of high magnitude of a point of 6 on the Richter scale have been known to cause deaths. Areas that are prone to earthquake also lack quality infrastructure hence they are not that attractive to people.

 They main reason there is insufficient infrastructure is that investors fear losses in case of earthquake. Environmental disasters such as hurricanes and typhoons also have a huge bearing on populations. Huge hurricanes destroy millions of dollars’ worth of property hence areas that experience them are not so attractive. Populations are also affected by man –made factors such as urbanization, political atmosphere, early marriages, fertility rates, wars and government policies.

Urbanization is a critical factor especially because it provides opportunities for employment. Since the early 1970’s, the young have been migrating to towns with the idea of a better life in mind. This has caused a population explosion in towns and a reduction in population in the rural areas. The building of industries and creation of infrastructure has also attracted people to downs du e to the availabilities of such amenities.

The fertility rates have also of late been of significant influence in demographic patterns. It has come to the attention that there are regions with very high fertility rates hence a boom in population in those regions. Regions with low fertility rates have a slow or even negative population change. Fertility rates are affected by factors such as life style and genetics. Wars are another critical influencer in population change.

With the advent of deadly weapons such as nuclear warheads and the creation of biological warfare, it is possible to wipe out huge chunks of populations with a matter of minutes.

Favorable business policies attract investors who in their part help in the creation of employment; the opportunity for employment hence attracts the young in their thousands. Policies, which reduce the cost of food and other basic commodities, also lead to an increase in population due to their ripple effect on the living standards of the counties citizens. Policies can also directly affect populations, as is the case with China. In China, couples are only allowed a minimum of one child .This has had a huge impact on China’s population, which had previously been growing at an exponential rate. It has however also had an unprecedented effect, the Chinese people generally value the male child more than the female child hence in most circumstances the female fetus is terminated. This has resulted in an imbalance in the population scale such that there are more males than females. This imbalance has further reduced the population growth rate.

Such knowledge is important for administration and business organizations in improving the economy both of a region and of a business. An administration can use the knowledge of diseases and population growth for planning of policies and strategies. Biopharmaceutical firms can use disease statistics in order to design specific drugs to counter the reported diseases. This will in turn improve the firms’ productivity and specificity to concentrating drugs to the right places. Population dynamics knowledge can be used to tailor services relevant to specific areas to improve efficiency of logistics.

1. PIE CHART SHOWING POPULATION DISTRIBUTION IN EACH  PROVINCE

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