Country Livability
An analysis of the livability of
a country
In some parts of the
world, life is pretty 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
Country Ranking
30
28
26
24
22
20
18
16
14
12
10
8
6
4
2
0
90
92
R2 = 0.6696
94
96
Literacy Rate (%)
98
100
Country Ranking
Country Livability vs Infant Mortality Rate
30
28
26
24
22
20
18
16
14
12
10
8
6
4
2
0
0
1
R2 = 0.5731
2
3
4
5
6
7
8
9
Infant Mortality Rate (per 1000 births)
10
11
12
Country's Ranking
Country Livability vs Annual Income
30
28
26
24
22
20
18
16
14
12
10
8
6
4
2
0
10000
R2 = 0.8327
20000
30000
40000
GDP (per capita)
50000
60000
Country Ranking
Country Livability vs Life Expectancy
30
28
26
24
22
20
18
16
14
12
10
8
6
4
2
0
72
R2 = 0.5858
74
76
78
Life Expectancy
80
82
84
COuntry Ranking
Country Livability vs Unemployment Rate
30
28
26
24
22
20
18
16
14
12
10
8
6
4
2
0
0
R2 = 0.8268
2
4
6
8
10
Unemployed Population (%)
12
14
And then there are the
less fortunate countries,…
Literacy Rate:
18.2%
Life Expectancy:
37
Infant Mortality:
123.64/1000
Gross Domestic
Product (Per Capita US):
$600
Country Livability vs Life Expectancy
30
28
26
24
Country Ranking
22
20
18
16
14
12
10
8
6
4
2
0
30
R2 = 0.3828
35
40
45
50
Life Expectancy
55
60
65
70
Country Liv ibility v s Annual Income
30
28
26
24
Country Ranking
22
20
18
16
14
12
10
8
6
4
2
0
0
500
1000
1500
2000
GDP (per capita US$)
2500
R 2 = 0.5607
3000
Country Livibility vs Literacy Rate
30
28
26
24
22
Country Ranking
20
18
16
14
12
10
8
6
4
2
0
0
20
R2 = 0.372
40
60
Literacy Rate (%)
80
100
Country Ranking
Country Livability vs Infant Mortality
30
28
26
24
22
20
18
16
14
12
10
8
6
4
2
0
50
70
90
110
130
150
170
Infant Mortality Rate (per 1000 births)
190
R2 = 0.2466
Additional Questions
 It would be interesting to look at climate
and geographical positioning, however
those are not statistical facts.
 It would also be interesting to look at the
countries history. i.e the countries’s debt,
wars/conflicts, inflation
 If I was able to collect data for all 245
countries, how would my graphs differ?
Conclusions
 The numerical statistics I chose to use for this
project were good choices!
 The unemployment rate seemed to be very
crucial, as it had an R-squared value of .82 –
that’s 82%
 Looking especially at the worst 30 countries,
Infant Mortality did not seem to have as much
of an impact.
Be thankful you live in Canada, it’s a pretty scary
world out there!
The
End