country livability

Country LivabilityCountry Livability

An analysis of the livability of An analysis of the livability of a countrya country

In some parts of the In some parts of the world, life is pretty world, life is pretty good…good…

Literacy Rate: 100%

Unemployed Population: 2.2%

Life Expectancy: 82

Gross Domestic Product (Per Capita US):

$45000

Infant Mortality Rate: 2.2/1000

Country Livability vs Literacy Rate

R2 = 0.6696

0

2

4

6

8

10

12

14

16

18

20

22

24

26

28

30

90 92 94 96 98 100

Literacy Rate (%)

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g

Country Livability vs Infant Mortality Rate

R2 = 0.5731

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1012141618202224262830

0 1 2 3 4 5 6 7 8 9 10 11 12

Infant Mortality Rate (per 1000 births)

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Country Livability vs Annual Income

R2 = 0.8327

02468

1012141618202224262830

10000 20000 30000 40000 50000 60000

GDP (per capita)

Co

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try

's R

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Country Livability vs Life Expectancy

R2 = 0.5858

02468

1012141618202224262830

72 74 76 78 80 82 84

Life Expectancy

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Country Livability vs Unemployment Rate

R2 = 0.8268

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1012141618202224262830

0 2 4 6 8 10 12 14

Unemployed Population (%)

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And then there are the And then there are the less fortunate countries,less fortunate countries,……

Literacy Rate: 18.2%

Life Expectancy: 37

Infant Mortality: 123.64/1000

Gross Domestic Product (Per Capita US):

$600

Country Livability vs Life Expectancy

R2 = 0.3828

0

2

4

6

8

10

12

14

16

18

20

22

24

26

28

30

30 35 40 45 50 55 60 65 70

Life Expectancy

Co

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Ran

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Country Livibility vs Annual Income

R2 = 0.5607

0

2

4

6

8

10

12

14

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18

20

22

24

26

28

30

0 500 1000 1500 2000 2500 3000

GDP (per capita US$)

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Ra

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Country Livibility vs Literacy Rate

R2 = 0.372

0

2

4

6

8

10

12

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18

20

22

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30

0 20 40 60 80 100

Literacy Rate (%)

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Country Livability vs Infant Mortality

R2 = 0.2466

0

24

68

10

1214

1618

20

2224

2628

30

50 70 90 110 130 150 170 190

Infant Mortality Rate (per 1000 births)

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Additional QuestionsAdditional Questions It would be interesting to look at climate It would be interesting to look at climate

and geographical positioning, however and geographical positioning, however those are not statistical facts.those are not statistical facts.

It would also be interesting to look at the It would also be interesting to look at the countries history. i.e the countries’s debt, countries history. i.e the countries’s debt, wars/conflicts, inflationwars/conflicts, inflation

If I was able to collect data for all 245 If I was able to collect data for all 245 countries, how would my graphs differ?countries, how would my graphs differ?

ConclusionsConclusions The numerical statistics I chose to use for this The numerical statistics I chose to use for this

project were good choices!project were good choices! The unemployment rate seemed to be very The unemployment rate seemed to be very

crucial, as it had an R-squared value of .82 – crucial, as it had an R-squared value of .82 – that’s 82%that’s 82%

Looking especially at the worst 30 countries, Looking especially at the worst 30 countries, Infant Mortality did not seem to have as much Infant Mortality did not seem to have as much of an impact.of an impact.

Be thankful you live in Canada, it’s a pretty scary Be thankful you live in Canada, it’s a pretty scary world out there!world out there!

The End