Population Demographicsand Prosperity

Demographics?• Demographics refers to a variety of statistics used

to analyze and evaluate different populations. Some statistic variables include:

Age Gender Birth/Death Rates Education Migration Rates Race/Religion

• Many of these statistics are also used as ways of measuring the Human Development Index, which is the standard of living in different places.

Prosperity?• Prosperity refers to the growth and development of a town,

region, or country. It is the amount of success and fortune a population has had.

• Prosperity can be measured by economic strength (Gross Domestic Product or GDP), average income (US$/year), or by country classification models (developed, newly-industrialized, developing).

• Developed Nations: Countries that are industry or service-based, and have been highly urbanized.

• Newly-Industrialized Nations: Countries that are rising in economic growth, but are not quite at the level of first world, developed countries.

• Developing Nations: Countries that are still rural (agriculture) based, and do not offer the services that the other countries have.

Question

1. How are the different measurements of prosperity (GDP per Capita and Average Annual Income) related?

I will…• Show a graph that compares countries and their

GDP• Show a graph that compares countries and their

Average Income• Do a direct comparison of the two graphs to

determine a relationship

Hypothesis

• I think that the developed countries will have a higher GDP per Capita than other countries. I also think that developed countries will have a higher average income than other countries. I believe that the newly-industrialized countries will be close to the developed countries in GDP per Capita.

InformationCountries That Will Be Used For

Examples

• Developed: Canada, France, Japan, United Kingdom, United States

• Newly Industrialized: Brazil, China, India, Mexico, South Africa

• Developing: Chad, Kenya, Sudan, Pakistan, Vietnam

Category Country Amount

Developed 34

Newly-Industrialized

9

Developing 144

Countries Categorized

Developed

New ly-Industrialized

Developing

Country GDP per Capita Average Income (US$)

Canada (1) 31500 29740

France (2) 28700 27460

Japan (3) 29400 28620

United Kingdom (4) 29600 27650

United States (5) 40100 37500

Brazil (6) 8100 7480

China (7) 5600 4990

India (8) 3100 2880

Mexico (9) 9600 8950

South Africa (10) 11100 10270

Chad (11) 1600 1100

Kenya (12) 1100 1020

Sudan (13) 1900 1880

Pakistan (14) 2200 2060

Vietnam (15) 2700 2490

Standard Deviation: 13806Variance: 190615523.8Canada’s Z-Score: 1.285

GDP for Different Countries

y = -2562.9x + 34256

-10000

010000

20000

3000040000

50000

Countries

GD

P p

er

Ca

pit

a

Mean: 13573 Median: 8100Mode:--------

Analysis

Quartile 1: 2200Quartile 2: 8100

Quartile 3: 29400Interquartile Range: 27200

Minimum: 1100Maximum: 40100

Range: 39000

Standard Deviation: 13155

Variance: 171996406.7

Canada’s Z Score: 1.281

Mean: $12939

Median: $7480

Mode:-------

Average Income of Different Countries

y = -2439.4x + 32454

-10000

0

10000

20000

30000

40000

Country

Av

era

ge

An

nu

al I

nc

om

e

(US

$)

Analysis• Quartile 1: $2060

• Quartile 2: $7480

• Quartile 3: $27650

• Interquartile Range: $25590

• Minimum: $1020

• Maximum: $37500

• Range: $36480

Income and GDP Relation

y = 0.9496x - 121.41

R2 = 0.9994

0

10000

20000

30000

40000

0 10000 20000 30000 40000 50000

GDP per Capita

Avera

ge I

nco

me (

US

$)

• This is a cause and effect relationship because as the GDP increases, the average income increases. It is strong, positive correlation since the coefficient of correlation is very close to 1.

Comparisons

GDP per Capita: y=-2562.9x+34256

Average Income: y=-2439.4x+32454

Summary

• Based on my hypothesis, I was correct for the most part.

• Both the GDP and Average Income in developed countries are much higher than in newly-industrialized and developing countries. This shows the large separation in the world between the wealthy and non-wealthy countries.

• I was wrong in predicting that newly-industrialized countries would have GDP levels close to developed countries. Instead, they are closer to developing countries.

Question 2

• What is the primary religion in a country, and is that related to the death rate in that country?

I will

• Show a graph demonstrating the religion in each country used

• Show a graph comparing each country and its death rate

• Compare the two demographics to see if there is a relationship

Hypothesis

• I predict that the countries that follow the Christian religion will have lower death rates than countries following Islam.

• I think that countries supporting religions other than Christianity and Islam will have death rates similar to Islamic countries.

Information on Religion

Christianity (8/15) =53%

Islam (3/15) =20%

Other (4/15) =27%

Distribution of Religions

Christianity

Islam

Other

Therefore this may lead to bias in the question because the

distribution of religions across the 15 countries are not equal

Death Rates

The death rate is the amount of people that die for every 1000 people. It is calculated annually.

Death Rates

y = 0.1798x + 8.1428

0

5

10

15

20

0 2 4 6 8 10 12 14 16

Countries (1-15 in order)

De

ath

Ra

te

Canada-1France-2Japan-3UK-4USA-5Brazil-6China-7India-8

Standard Deviation: 3.1266Variance: 9.7759

Canada’s Z Score: -0.7008Mean: 9.5813Median: 9.14

Mode: --------

Mexico-9South Africa-10Chad-11Kenya-12Sudan-13Pakistan-14Vietnam-15

AnalysisMinimum: 5.05

Maximum: 15.71

Range: 10.66

Quartile 1: 7.39Quartile2: 9.14Quartile3: 10.38Interquartile Range: 2.99

ComparisonsAverage Death Rates

For Christian Countries… 9.85

For Islam Countries… 11.83

For “other” Countries… 7.35

Death Rates vs Religion

02

46

810

1214

Christianity Islam Other

Religion

De

ath

Ra

te

Summary

• I was correct in predicting that the Christian countries would have lower death rates than the Islam countries. I think this occurs because in general Christian countries are more economically developed than Islamic ones.

• I was wrong though in thinking that countries with alternative religions (Hinduism, Shinto, Confucianism, and Buddhism) would have death rates similar to Islamic countries. As a result, they actually have the lowest death rates out of anybody. This may be because of a combination of less war and better health care and management.

Question 3

• What is the average life expectancy of each country, and does that relate to the GDP per Capita of each country?

I will…

• Show a graph demonstrating the life expectancy of each country used

• Show a graph representing the GDP per Capita of each country used

• Compare the two graphs to determine a relationship

Hypothesis• I think that countries that have a lower life

expectancy will have a lower GDP per Capita. I also predict that the developed countries (Canada, France, Japan, United Kingdom, USA) will have higher life expectancies than other countries.

Life Expectancy

• Life Expectancy is how long the average person is expected to live in a certain country. It is calculated annually.

Standard Deviation…

11.3591

Variance…

129.0302

Canada Z Score…

1.1327

Mean…

66.5627

Median…

69.2700

Mode…

---------

Analysis

• Minimum: 47.98

• Maximum: 80.70

• Range: 32.72

Quartile 1: 56.55

Quartile 2: 69.27

Quartile 3: 77.66

Interquartile Range: 21.11

ComparisonsGDP vs Life Expectancy

y = 0.0006x + 57.731

R2 = 0.6091

0

20

40

60

80

100

0 10000 20000 30000 40000 50000

GDP per Capita

Lif

e E

xp

ec

tan

cy

This is a cause and effect relationship because as the GDP per Capita increases, the Life Expectancy increases. It is a medium positive correlation because the coefficient of correlation is 0.6091.

Life Expectancy: y=-1.85x+81.425

GDP per Capita: y=-2562x+34256

To view GDP Graph Click Here

Summary

• I was correct in thinking that countries with a lower life expectancy would have lower GDP per Capita figures. It seems as if countries that are more economically developed have people live longer in general. Canada has the second highest GDP per Capita and the second highest life expectation, meaning our country is healthy and strong.

Question 4

• What is each country’s population growth rate, and is that related to its average annual income?

I will…• Show a graph representing the population growth rate of

each country• Show a graph demonstrating the average annual income of

each country• Compare the two statistics to see if there is a relation

Hypothesis

• I think that as the higher a country’s population growth rate is, the lower its average income will be. I also believe that Canada will have the lowest population growth rate because I do not think Canada’s population grows very fast.

Population Growth Rate

• The population growth rate is the percentage a population increases in a select number of years.

Growth Rate Projections from 2005-2010

The World’s Population Growth Rate is 1.17%

Standard Deviation: 0.8447 Mean: 1.2426Variance: 0.7136 Median: 1.12Canada’s Z-Score: 0.4056 Mode: --------

Population Growth Rate 2005-2010

y = 0.1286x + 0.2138

-0.50

0.51

1.52

2.53

3.5

Ca

na

da

Jap

an

US

A

Ch

ina

Me

xico

Ch

ad

Su

da

n

Vie

tnam

Country

Gro

wth

Ra

te %

Analysis• Minimum: -0.02• Maximum: 2.88• Range: 2.90

• Quartile 1: 0.55• Quartile 2: 1.12• Quartile 3: 1.84• Interquartile Range: 1.29

Comparison

Average Income vs Growth Rate y = -4E-05x + 1.8028

R2 = 0.4516

-0.50

0.51

1.52

2.53

3.5

0 10000 20000 30000 40000

Average Annuall Income ($)

Gro

wth

Ra

te %

This is a cause and effect relationship because as the average income increases, the population growth rate decreases. It is a weak, negative correlation since the coefficient of correlation is 0.4516

To view the Average Income Graph Click Here

Summary

• I was correct in thinking that the higher a country’s population growth rate is, the lower their average annual income would be. This means that the developed countries grow slower than other countries.

• I was wrong though in thinking that Canada would have the lowest growth rate out of the example countries. It was actually Japan, who has a population growth rate of -0.02, meaning that their population will be slowly decreasing until at least 2010.

Conclusion• Demographics and Prosperity are definitely

related to certain extents. Countries that are developed (stronger economically), tend to have lower death rates, lower growth rates, and higher life expectancies. Developing countries have high death rates, high growth rates, and low life expectancies. Newly Industrialized countries are generally between the two.

• I predict the gap to close between the developed and developing worlds because some world powers (USA) are struggling economically, while other developing countries (Vietnam) are improving economically.

References

• www.wikipedia.org/wiki/List_of_countries_by_population_growth_rate

• www.os-connection.com/pop• www.web.worldbank.org• estat.statcan.ca

THANK YOU

Math problems? Call 1-800-[(10x)(13i)2]-[sin(xy)/2.362x].