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BIOS 135 Population Dynamics

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BIOS 135 Population Dynamics Intro This week ilab was to understand, compare, and calculate the world’s population rate. Interactive media, World Bank, CIA Factbook websites was use to gain the different elements which brought each country to its population level. Financial income plays a major role in the understanding of fertility rates, whether an increase leads to poverty or a decrease leads to a higher capital income. Procedure 1. Use the World Bank's definitions for low income countries, lower middle income countries, upper middle income countries, and high income countries. Select a country in each category and complete the speadsheet for exercises 1- 3 located above. The World Bank and CIA Factbook websites are in the course webliography and should be used to help complete your table. 2. Starting with a hypothetical population of 14,000 people and an even age distribution (1,000 in each age group from 1-5 to 66-70 years), assume that the population initially has a total fertility rate of 2.0 and an average life span of 70 years. Using the spreadsheet for exercises 1-3, estimate how the population will change from this generation to the next under each of the following conditions. 3. a. Total fertility rate and life expectancy remain constant. 4. b. Total fertility rate changes to 4.0; life expectancy remains constant. 5. c. Total fertility rate changes to 1.0; life expectancy remains constant. 6. d. Total fertility rate remains at 2.0; life expectancy increases to 100. 7. e. Total fertility rate remains at 2.0; life expectancy decreases to 50. F. Total fertility rate changes to 4.0; life expectancy increases to 100. 8. Most developed countries have infant mortality rates of around 5 deaths per thousand live births, and some developing countries have infant mortality rates exceeding 100 deaths per 1,000 live births. How would either of these rates affect our final populations? Use the speadsheet for exercises 1-3 found above to adjust your calculations. 9. Using current population growth rates (obtained from the World Bank or CIA Factbook) and using the rule of 70, project how long it will take the population of the world and the following countries or regions to double. What is happening to population growth rates worldwide? Observation and Result 1. Country category Country name Per capita income Total fertility rate Life expectancy Low income Haiti $1,045 or Lower 3.21 62.7 Lower middle income Ukraine $1,046 tp $4,125 1.5 70.9 Higher middle income Peru $4,126 to $12,745 2.4 74.5 High income Japan $12,745 or more 1.4 83.1 2. Total Current Future Future Current fertility life life population Population rate expectancy expectancy = CP * TFR/2 * FLE / CLE a 14,000 2 70 70 14000.0 b 14,000 4 70 70 28000.0 c 14,000 1 70 70 7000.0 d 14,000 2 70 100 20000.0 e 14,000 2 70 50 10000.0 f 14,000 4 70 100 40000.0 Future Future population population (without IMR) IMR (per 1000) including IMR = FP * (1000-IMR)/1000 a 14000.0 5 13930.0 b 28000.0 5 27860.0 c 7000.0 5 6965.0 d 20000.0 5 19900.0 e 10000.0 5 9950.0 f 40000.0 5 39800.0 a 14000.0 100 12600.0 b 28000.0 100 25200.0 c 7000.0 100 6300.0 d 20000.0 100 18000.0 e 10000.0 100 9000.0 f 40000.0 100 36000.0 3. To calculate, (70 / Fertility rate) World, country, or region Population doubling time Fertility Rate of 2012 Life Expectancy World 28 yrs 2.5 70 China 41 yrs 1.7 70 India 28 yrs 2.5 70 United States 37 yrs 1.9 70 European Union 44 yrs 1.6 70 Conlusion What is happening to population growth rates worldwide? The countries growth rate is significantly becoming smaller due to advancement in medicine, education and other technological implications. This also could be the result of each country becoming more developed and financially established over time.

Voorbeeld van de inhoud

BIOS 135 Population Dynamics
Intro
This week ilab was to understand, compare, and calculate the world’s population rate.
Interactive media, World Bank, CIA Factbook websites was use to gain the different elements which
brought each country to its population level. Financial income plays a major role in the understanding of
fertility rates, whether an increase leads to poverty or a decrease leads to a higher capital income.

Procedure

1. Use the World Bank's definitions for low income countries, lower middle income countries,
upper middle income countries, and high income countries. Select a country in each
category and complete the speadsheet for exercises 1- 3 located above. The World Bank
and CIA Factbook websites are in the course webliography and should be used to help
complete your table.

2. Starting with a hypothetical population of 14,000 people and an even age distribution
(1,000 in each age group from 1-5 to 66-70 years), assume that the population initially has
a total fertility rate of 2.0 and an average life span of 70 years. Using the spreadsheet for
exercises 1-3, estimate how the population will change from this generation to the next
under each of the following conditions.
3. a. Total fertility rate and life expectancy remain constant.
4. b. Total fertility rate changes to 4.0; life expectancy remains constant.
5. c. Total fertility rate changes to 1.0; life expectancy remains constant.
6. d. Total fertility rate remains at 2.0; life expectancy increases to 100.
7. e. Total fertility rate remains at 2.0; life expectancy decreases to 50.
F. Total fertility rate changes to 4.0; life expectancy increases to 100.
8. Most developed countries have infant mortality rates of around 5 deaths per thousand live
births, and some developing countries have infant mortality rates exceeding 100 deaths per
1,000 live births. How would either of these rates affect our final populations? Use the
speadsheet for exercises 1-3 found above to adjust your calculations.
9. Using current population growth rates (obtained from the World Bank or CIA Factbook)
and using the rule of 70, project how long it will take the population of the world and the
following countries or regions to double. What is happening to population growth rates
worldwide?

Observation and Result
1.
Country Country Per capita Total Life
category name income fertility rate expectancy
$1,045 or
Low income Haiti 3.21 62.7
Lower
Lower middle $1,046 tp
Ukraine 1.5 70.9
income $4,125
Higher middle $4,126 to
Peru 2.4 74.5
income $12,745

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