Purpose: Through the use of graphs and charts, my partner and I were able to attain and learn how to work with demographic data to calculate population growths as well as create bar and pyramid charts to further enhance our knowledge when dealing with rates.
Related to class topics: As discussed in class as well as in our textbook, China has an over population problem that is growing drastically and resources are beginning to run out. ” While the population of many developed countries are either stable or declining, those of most developing countries are growing, and the trend for the entire global population is continued growth. Molles, (P. 259) As showed in the graphs and information gathered below Molles’ views are validated.
Data:
1. China and India have the largest populations in the world. Which of these two countries adds more people to its population annually? [Calculate the numbers added by applying the rate of natural increase to the population of each country. Hint: the rate is a percent]
Table 1- Annual Population Growth:
| Country | Number of People added annually |
| China | 6,690,000.0005 |
| India | 17,820,000.012 |
As we can see from the table above, India adds more people to its population annually.
1. What proportion of the world’s people live the following continents/regions and what are the projected proportions by 2025 and 2050?
Table 2- Populations in Proportion to the World’s Population:
| Continent | % Living Today | % by 2025 | % by 2050 |
| Asia | 60.3% | 60% | 57.2% |
| North America | 5% | 4.8% | 5% |
| Latin America | 8.5% | 8.2% | 7.7% |
| Europe | 10.7% | 9.2% | 7.6% |
| Oceania | 0.54% | 0.56% | 0.61% |
What does the bar chart reflect?
The bar chart shows that Asia will have the highest increase in population by 2025 and 2050, but has decreased from the current population today.
How did we attain our data?
In order to find the % living today for each country, we take the population of the each country and divide it by the population of the % living today of the world. We then multiply this times 100 . The steps repeat for 2025 as well as 2050. So for 2025 we divide the given number by the world’s population and then multiply it by 100 again and so on for 2050.
Use the data above and Excel to construct a bar chart showing the regional distributions of the world’s population for the current year, 2025, and 2050.
The bar chart shows that Asia will have the highest increase in population by 2025 and 2050, but has decreased from the current population today.
What proportion of the world’s people live in less developed countries (LDCs) and in more developed countries (MDCs) today? What proportion is projected to live in LDCs and MDCs in 2025 and in 2050?
Table 3- LDC/MDC Populations in Proportion to the World’s Population:
| Countries | % of World’s Pop. Today | % of World’s Pop. 2025 | % of World’s Pop. 2050 |
| LCDs | 82.1% | 84.1% | 86.0% |
| MCDs | 18% | 16% | 14.1% |
In more developed countries there is more money and more education available, therefore the people are aware that the population needs to be regulated, so there is significantly less of an increase in population. In less developed countries there is less money and less education, therefore they have a much higher rate of population increase. My partner and I discovered that since the number of LCD’s is going to increase over the years, meaning that people will be moving from MCD’s to less developed countries due to either economic or social problems.
4. Examine the crude birth rate, crude death rate, and rate of natural increase of any three countries (one being your own country) listed on the World Population Data Sheet.
Table 4- Calculating Rate of Natural Increase:
| Country | CBR % | CDR % | Rate of Natural Increase (%) |
| US | 1.4% | 0.8% | 0.6% |
| Greece | 1.1% | 1.0% | 0.1% |
| Spain | 1.1% | 0.8% | 0.3% |
The rate of natural increase is the difference between the crude death rate (CDR) and the crude birth rate (CBR). The data above was found using the World Population Data sheet for 2010. Because the numbers were not in rate form, my partner and I had to divide them by 1000.
Age-dependency ratio:
Select 2 LDCs and 2 MDCs from the data sheet and compute the age-dependency ratios for each.
The formula for this ratio:
| % of population under age 15 + % of 65 and over | X 100 |
| % of population ages 15-64 |
[Hint: The three percents will equal 100%. ]
Example: The age-dependency ratio in the United States in 2004 was:
| 21% + 12% | X 100 |
| 67% |
This means that there were 49 people in the dependent ages for every 100 people of working age.
Table 5- Calculating Age-Dependency Ratios:
| Country | Age-Dependency Ratio |
| LCD 1: Burundi | 78.6% |
| LCD 2: Ethiopia | 88.7% |
| MDC 1: UK | 51.5% |
| MDC 2: Sweden | 53.8% |
What factors do you think contribute to a high age-dependency ratio?
Factors that contribute to a high age-dependency ratio are less education and less money, therefore less developed countries have higher age-dependency ratios.
What are some economic and social consequences of a high age-dependency ratio?
With a high age-dependency ratio, there are too many people below the age of 15 and too many above the age of 64, therefore there are not enough people to support the economy and there is no one to rely on.
What Is an Age-Sex Graph?
An age-sex graph, commonly referred to as a population pyramid even though the graph for some countries is not actually a pyramid shape, displays a population’s age and sex composition.
- 1. From the following table select one country from each column (two countries) from for your case.
| Column A | Column B |
| United Kingdom | Bangladesh |
| France | Macedonia, FYROM |
| Germany | Egypt |
| Israel | Ethiopia |
| Japan | Albania |
| New Zealand | Thailand |
| Russia | Turkey |
| Greece | Vietnam |
Part B. Interpreting Age-Sex Graphs
- We will investigate the United Kingdom from Column A and Ethiopia from Column B.
- 2. Open the U.S. Census Bureau “International Database,” available at
http://www.census.gov/ipc/www/idb/
Select “Data Access”
Select the assigned country (see Table 1 above) from the country list and hit “Submit”
In the new page select “Tables”
In the new page select “Excel” (see somewhere in the middle of your screen where it says: “Download all Tables as Excel”)
From the Excel file record the following data for the country you selected.
- Table 6- Demographic Indicators for the United Kingdom:
| Demographic Indicators | Value |
| Total Midyear Population | 62348447 |
| Crude Birth Rate (per 1,000) | 12 % |
| Crude Death Rate (per 1,000) | 9 % |
| Natural Increase (%) | 0.6 % |
| Infant Mortality Rate (per 1,000 births) | 5 % |
| Total Fertility Rate | 1.9 % |
| Life Expectancy at Birth for Males | 77.84 |
| Life Expectancy at Birth for Females | 82.11 |
| Population <15 yrs. (%)/ >65 yrs. (%) | <15 = 18 %
>65 = 16 % |
| GNP/capita (US $) | $36,130 |
Graph 2- Age-Sex Pyramid for the United Kingdom:
Table 7- Demographic Indicators for Ethiopia:
| Demographic Indicators | Value |
| Total Midyear Population | 88,013 |
| Crude Birth Rate (per 1,000) | 43 % |
| Crude Death Rate (per 1,000) | 11 % |
| Natural Increase (%) | 3.2 % |
| Infant Mortality Rate (per 1,000 births) | 79 % |
| Total Fertility Rate | 6.1 % |
| Life Expectancy at Birth for Males | 54 |
| Life Expectancy at Birth for Females | 57 |
| Population <15 yrs. (%)/ >65 yrs. (%) | <15 = 44 %
>65 = 3 % |
| GNP/capita (US $) | $870 |
Graph 3- Age-Sex Pyramid for Ethiopia:
Compare the demographic indicators from the two countries. What generalizations can be made concerning demographic indicators and level of development? [for example, if the birth rate is high, then the level of development is...]. Form at least two generalizations that are supported by the pyramids and data charts.
It is clear by examining the demographic indicators of both the United Kingdom and Ethiopia that the United Kingdom is a much more developed country than Ethiopia. This is clear because, as one can see from the tables and graphs above, the United Kingdom has a crude birth rate of only 12% per 1,000, where as Ethiopia has a much higher crude birth rate of 43% per 1,000. The less developed a country is, the less education there is, therefore, the birth rate (population increase) goes up. One other factor that leads to the conclusion that Ethiopia is much less developed than the United Kingdom is that the infant mortality rate per 1,000 births is only 5% in the UK, but is 79% in Ethiopia. This statistic shows that there are, first off, many more babies being born in Ethiopia because the birth rate is still higher even though a lot of babies are dying, and that there is less education and, therefore, less advanced doctoring and more disease. It is clear that more babies are being born outside of hospitals in Ethiopia.
References:
Molles Jr., Manuel C. Ecology: Concepts and Applications, Fifth Edition. New York: McGraw-Hill, 2010.
World Population Data Sheet 2010. Population Reference Bureau. USAID. July 2010
U.S. Consensus Bureau. “International Database”. 27 November 2010.http://www.census.gov/ipc/www/idb/
Partner: Francesca Murray





















