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Population Demographics
and Prosperity
Demographics?
• Demographics refers to a variety of statistics used
to analyze and evaluate different populations.
Some statistic variables include:
Age
Education
Gender
Migration Rates
Birth/Death 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$/year), or by country classification
models (developed, newly-industrialized,
developing).
• Developed Nations: Countries that are industry or servicebased, and have been highly urbanized.
• Newly-Industrialized Nations: Countries that are rising in
economic growth, but are not quite at the level of first
world, developed countries.
• Developing Nations: Countries that are still rural
(agriculture) based, and do not offer the services that the
other countries have.
Question
1. How are the different measurements of
prosperity (GDP per Capita and
Average Annual Income) related?
•
•
•
I will…
Show a graph that compares countries and their
GDP
Show a graph that compares countries and their
Average Income
Do a direct comparison of the two graphs to
determine a relationship
Hypothesis
• I think that the developed countries will
have a higher GDP per Capita than other
countries. I also think that developed
countries will have a higher average income
than other countries. I believe that the
newly-industrialized countries will be close
to the developed countries in GDP per
Capita.
Category Country
Amount
Developed
34
Information
Countries That Will Be Used For
Examples
Newly9
Industrializ
ed
• Developed: Canada, France, Japan,
United Kingdom, United States
Developing 144
• Newly Industrialized: Brazil, China,
India, Mexico, South Africa
Countries Categorized
Developed
New lyIndustrialized
Developing
• Developing: Chad, Kenya, Sudan,
Pakistan, Vietnam
Country
GDP per Capita
Average Income (US$)
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
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50000
40000
30000
20000
10000
0
-10000
an
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GDP per Capita
GDP for Different Countries
y = -2562.9x + 34256
Countries
Standard Deviation: 13806
Variance: 190615523.8
Canada’s Z-Score: 1.285
Mean: 13573
Median: 8100
Mode:--------
Analysis
Minimum: 1100
Maximum: 40100
Range: 39000
Quartile 1: 2200
Quartile 2: 8100
Quartile 3: 29400
Interquartile Range: 27200
40000
30000
20000
10000
y = -2439.4x + 32454
Standard Deviation: 13155
Variance: 171996406.7
Canada’s Z Score: 1.281
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Average Annual Income
(US$)
Average Income of Different Countries
Country
Mean: $12939
Median: $7480
Mode:-------
•
•
•
•
Quartile 1: $2060
Quartile 2: $7480
Quartile 3: $27650
Interquartile Range: $25590
Analysis
• Minimum: $1020
• Maximum: $37500
• Range: $36480
Comparisons
GDP per Capita: y=-2562.9x+34256
Average Income: y=-2439.4x+32454
Income and GDP Relation
Average Income (US$)
• 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.
y = 0.9496x - 121.41
R2 = 0.9994
40000
30000
20000
10000
0
0
10000
20000
30000
GDP per Capita
40000
50000
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 newlyindustrialized and developing countries. This
shows the large separation in the world between
the wealthy and non-wealthy countries.
• I was wrong in predicting that newlyindustrialized 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
Christ ianit y
Islam
Ot her
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
Death Rate
20
15
10
5
0
0
2
4
y = 0.1798x + 8.1428
Canada-1
France-2
Japan-3
UK-4
USA-5
Brazil-6
China-7
India-8
Mexico-9
South Africa-10
Chad-11
Kenya-12
Sudan-13
Pakistan-14
Vietnam-15
6
8
10
12
14
Countries (1-15 in order)
Standard Deviation: 3.1266
Variance: 9.7759
Canada’s Z Score: -0.7008
Mean: 9.5813
Median: 9.14
Mode: --------
16
Analysis
Quartile 1: 7.39
Quartile2: 9.14
Quartile3: 10.38
Interquartile Range: 2.99
Average Death Rates
Comparisons
For Christian Countries… 9.85
For Islam Countries… 11.83
For “other” Countries… 7.35
Death Rate
Death Rates vs Religion
14
12
10
8
6
4
2
0
Christianity
Islam
Religion
Other
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
To view GDP Graph Click Here
Comparisons
GDP vs Life Expectancy
Life Expectancy
100
Life Expectancy: y=-1.85x+81.425
GDP per Capita: y=-2562x+34256
80
60
40
20
0
0
10000
y = 0.0006x + 57.731
2
R = 0.6091
20000
30000
40000
50000
GDP per Capita
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.
• 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.
Summary
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.
The World’s Population
Growth Rate is 1.17%
Growth Rate Projections from
2005-2010
Country
Standard Deviation: 0.8447 Mean: 1.2426
Variance: 0.7136
Median: 1.12
Canada’s Z-Score: 0.4056
Mode: --------
Vietnam
Sudan
Chad
Mexico
China
USA
Japan
3.5
3
2.5
2
1.5
1
0.5
0
-0.5
Canada
Growth Rate %
Population Growth Rate 2005-2010
y = 0.1286x + 0.2138
• 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
Analysis
Comparison
To view the Average
Income Graph Click
Here
Average Income vs Growth Rate y = -4E-05x + 1.8028
2
Growth Rate %
R = 0.4516
3.5
3
2.5
2
1.5
1
0.5
0
-0.5 0
10000
20000
30000
Average Annuall Income ($)
40000
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
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_po
pulation_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].