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Georgia State University Course: World Hunger
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Module 5 - Data




Slide 1

Population Calculations

Data from: Population Reference Bureau. 2003 World Population Data Sheet. Available at

Population calculations help to explain issues that affect world hunger and how hunger affects the world's people. In this section we will examine some of the calculations that may be useful as you read course materials and other information on world issues. The data used in these calculations are from the Population Reference Bureau. These data are updated annually. We are using the 2003 data for illustration. You may want to print out a copy of the current data to follow the calculations and to see how the data are changing.




Slide 2

Population Estimates

  • World population - 6,314,000,000 (rounded)
  • Population percentages
    • Most populous country - China (1,288,700,000)
      • China has (1,288,700,000/6,314,000,000) x (100) = 20.4% of the world's people
  • India is next (1,068,600,0000)
    • India has (1,068,600,000/6,314,000,000) x (100) = 16.9% of the world's people
  • China and India contain 37.3% (20.4% + 16.9%) of the world's people

Population estimates describe numbers of people in different categories. The current world population is around 6 billion people.

Over a third of the world's population lives in China and India. These are both Asian countries. These large populations require a lot of food and other resources. How would a large decrease in their productivity affect the remainder of the world?




Slide 3

Data

  • This parameter helps project future population.
  • Natural increase (%) = [birth rate/1000 - death rate/1000] x [100]
  • The world has a natural increase of about 1.3%
    • More developed countries - 0.1%
    • Less developed countries - 1.6%

Many governmental and non-governmental agencies try to predict population growth to project future needs. The most simple calculation to do this is the natural increase (%), which is based on current birth and death rates. Factors that alter the birth and death rates would affect population growth and future resource needs.

Which population is growing faster: the population in less developed countries or the population in more developed countries?
The population in less developed countries is growing faster because their Natural Increase (%) is greater.

Which factor currently has the greater effect on natural increase: birth rate or death rate? [Hint: where do you see the greater difference in rates between more developed and less developed countries on the Population Reference Bureau tables?]
Currently the birth rate has a greater effect. This is because there is generally a greater difference in the birth rates than in the death rates. This is variable, though.

International health organizations are concerned about many health issues. Two that greatly affect natural increase are the spread of HIV/AIDS and use of contraceptives. How would each of these affect natural increase (%)?




Slide 4

Population Doubling Time

  • Number of years for a population to double in size, assuming rate of population growth unchanged
  • Doubling time = 70/ Natural Increase (%)
  • World = 70/1.3 = 53.9
    • In a century, the world will have approximately 2 doublings
    • 2 doublings = 2 superscript 2 = 4x as many people

What is the population doubling time for the US?
     U.S. = 70/.6 = 116.7 years; In a century, the U.S. will have approximately 1 doubling.
How many people is this?
     1 doubling = 21 = 2x as many people; There are about 290 million people in the US today?580 million in the next century

What is the population doubling time for Africa?
     Africa = 70/2.4 = 29.1 years; In a century, Africa will have approximately 3 doublings.
How many people is this?
     3 doublings = 23 = 8x as many people; There are about 885 million people in Africa today? over 7 billion in the next century [This is more than the total population of the world today.]




Slide 5

Infant Mortality Rate

  • Infant mortality rate - number of deaths to infants (children under 1 year of age) per 1,000 live births
  • Worldwide, 55 out of 1000 (5.5%) babies do not survive the first year
  • Many countries have rates well over 100 infant deaths per 1000 live births
  • There is a large difference in infant mortality rates between more developed and less developed continents

Infant mortality rate is a major baseline measure for a country's health. In general, more developed countries have lower infant mortality rates than do less developed countries. Part of this is because of good general health and nutritional status. Part of it is because of medical care during pregnancy, delivery, and early infancy.

Asia: 54 per thousand = (54/1000) x (100) = 5.4%
Africa: 88 per thousand = (88/1000) x (100) = 8.8%
North America: 7 per thousand = 0.7%
Europe: 8 per thousand = 0.8%




Slide 6

GNI PPP per Capita

  • GNI PPP per capita is Gross National Income in Purchasing Power Parity divided by midyear populations.
  • From the population data sheet ($US):
    • United States--$34,280
    • Europe--$16,270
    • South America--$6,910
    • Asia--$4290
    • Africa--$2120

For this indicator, international dollars indicate the amount of goods and services one could buy in the US with a given amount of money. This is calculated by dividing the purchasing power of the country by its population.

The US has a relatively large amount of purchasing power and a relatively small population. This means that, on average, individuals have greater purchasing power.

Africa has a relatively small amount of purchasing power and a relatively large population. This means that, on average, individuals have less purchasing power.

Based on natural increase, how would you expect the GNI PPP for the US and for Africa to change over the next century? What could affect this projected change?




Slide 7

Population Productivity

  • Generally, the productivity of a person remains at its peak between the ages of 15 and 65. That means that countries with higher proportions of their populations in this age range have the potential to be more productive than a population with more children or elderly.
  • Age dependency ratio = (% under 15 + % 65+)/(% 15-65)
    • Age dependency ratio (USA) = (21+13)/(100-34) = 0.5
    • Age dependency ratio (Africa) = (42+3)/100-45) = 0.8
    • Age dependency ratio (Niger) = (50+2)/(100-52) = 1.1

The age dependency ratio is the simplest projection of development potential. It describes the percentage of the population that is relatively unproductive. The smaller the age dependency ratio, the greater the potential productivity of the population. It is certainly possible to have people in the 15-65 year age range who are not productive. This is an estimate that does not include this factor.

HIV/AIDS is rapidly increasing the age dependency ratio in some parts of Africa (decreasing potential productivity). This is because many of the young to middle-aged adults are infected and die, leaving children behind. The age dependency ratio shows the effect of having a child-dominated society. It does not show the reduced productivity of individuals who are sick and the further reduction of productivity of the remaining population when they require care. It further does not show the decrease in productivity when children cannot grow as much or as varied a food supply, which can increase malnutrition.




Slide 8

Life Expectancy at Birth

  • Life expectancy at birth is the average number of years a newborn infant can expect to live under current mortality levels.
    • The value for females varies from 85 years for Japan to >40 years for Zimbabwe, a range of 45 years (85-40).
    • This is an indication of the wide differences in conditions in various countries.

Life expectancy at birth gives another general indicator of a country's health. The range is very wide, showing cumulative effects of poor health care, wars, etc.




Slide 9

Summarizing Data: Means

  • The mean is an average.
  • Mean (simple average) = sum of data values/observations
  • Example: In Northern Africa infant mortality rates are given per 1000 people for each of the 7 countries: 54, 44, 30, 37, 70, 23, 134
    • Sum of data values = 392
    • Number of observations = 7 (countries)
    • Average infant mortality rate = 56/1000

Means are averages that are frequently used to describe the general status of a population.

Calculated means frequently differ from reported mean because calculations are based on rounded figures.




Slide 10

Summarizing Data: Range & Median

  • Range = Maximum - Minimum
    • Infant mortality rate range = 134 - 23 = 111
  • Median = data value below and above which we have 50% of the data values
    • Sort the data: 23, 30, 37, 44, 54, 70, 134
    • The 4th observation is the data value below and above which we have the same number of observations; hence, 44 is the median. Median infant mortality rate is 44/1000, which is lower than the mean.
    • How is the median different from the mean?

The mean is an average, which means it takes into account all of the actual values. Very high or very low values can greatly affect a mean.

A median is not affected as greatly by a single high or low value.




Slide 11

Population Projections

  • Population projection is difficult. There are many factors that contribute towards population projection, such as
    • Birth rate
    • Death rate
    • Political stability of the country
    • Natural disasters, etc.
  • Taking care of all such variables, one tries to fit a model to the existing data. This is called statistical modeling.

True population projections are difficult to make with accuracy. The simplest, natural increase (%) assumes that birth and death rates remain constant. This is seldom a good assumption. While it is easy to talk about factors that might affect population projections, creating a mathematical model is more difficult because you have to estimate each factor and the ways in which factors interact.

Similarly, it is difficult to project food production. Many factors, including availability of land for farming, development of farming methods, numbers of farmers, development of new foods, etc. affect the amount of food that can be produced.

World hunger, then, has some very complicated calculations: how much food? how many people?

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