factors & predictors of life expectancy -...
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Factors & Predictors ofFactors & Predictors ofLife ExpectancyLife Expectancy
Marissa NeillyMarissa Neilly
ObjectiveObjective To research and better understand To research and better understand
what the predictors of life what the predictors of life expectancy areexpectancy are
Hypothesis: levels of nutrition and Hypothesis: levels of nutrition and healthcare are the most important healthcare are the most important factors or predictorsfactors or predictors
Global Life Expectancy OverviewGlobal Life Expectancy Overview
0200,000400,000600,000800,000
1,000,0001,200,0001,400,0001,600,0001,800,0002,000,000
Number of People(X1000)
30-35
35-40
40-45
45-50
50-55
55-60
60-65
65-70
70-75
75-80
80-85
Life Expectancy (Years)
Global Life Expectancy Frequency Distribution(192 countries, 6.3 billion total population)
Global Life Expectancy Overview Global Life Expectancy Overview Cont…Cont…
NutritionNutrition
Relationship Between Life Expectancy and Nutrition
y = 0.0182x + 13.214R2 = 0.6003
0102030405060708090
1500 2000 2500 3000 3500 4000
Nutrition- Kilocalories/person/day
Life
Exp
ecta
ncy
HealthcareHealthcare
Relationship Between Healthcare and Life Expectancy
y = 8.2748Ln(x) + 27.683R2 = 0.7388
0102030405060708090
0 100 200 300 400 500 600
# of Physicians per 100,000 people
Life
Exp
ecta
ncy
Healthcare Cont…Healthcare Cont…
y = 0.1896x + 45.422R2 = 0.4835
0
10
20
30
40
50
60
70
80
0 20 40 60 80 100 120 140 160
# of Physicians per 100,000 people
Life
Exp
ecta
ncy
y = -7E-05x + 75.088R2 = 4E-06
0
10
20
30
40
50
60
70
80
90
0 100 200 300 400 500 600
# of Physicians per 100,000 people
Life
Exp
ecta
ncy
Water QualityWater Quality
Relationship Between Water Quality and Life Expectancy
y = 0.8961x + 13.832R2 = 0.4099
020406080
100
0 10 20 30 40 50 60 70 80 90
Access to Clean Water Index Number 0-100; lower scores indicate water scarcity and poor water provision
Life
Exp
ecta
ncy
Income Income Relationship Between Income and Life Expectancy
y = 0.0007x + 56.178R2 = 0.447
0102030405060708090
0 10000 20000 30000 40000 50000
Income Per Capita
Life
Exp
ecta
ncy
PollutionPollutionRelationship Between Pollution and Life Expectancy
y = 0.6874x + 62.913R2 = 0.0701
0
20
40
60
80
100
0 5 10 15 20
Amount of CO2 Emmisions Per Capita
Life
Exp
ecta
ncy
EducationEducation
Relationship Between Education and Life Expectancy
y = 2.7302x + 32.135R2 = 0.4892
0
20
40
60
80
100
0 5 10 15 20
Education- Average Length of Schooling (Years)
Life
Exp
ecta
ncy
Variable Country (X) ValuePredicted Life
ExpectancyReported Life
ExpectancyDifference
(years)
Kilocalories/day per capita
Zambia 1890 45.2 32.4 12.8
Swaziland 2365 56.5 34.4 22.1
Dominican Republic 2308 55.4 66.7 11.3
Romania 3361.8 74.4 70.5 4.1
Netherlands 3374.1 74.6 78.3 3.7
Czech Republic 3064.8 69.7 75.4 5.7
Healthcare(Physicians per
100,000)
Zambia 6.9 43.7 32.4 11.3
Swaziland 17.6 51.4 34.4 17
Dominican Republic 188 71 66.7 4.3
Romania 188.7 71 70.5 0.5
Netherlands 329.1 75.7 78.3 2.6
Czech Republic 343.4 76 75.4 0.6
Education (average number of years in school per capita)
Zambia 7 51.2 32.4 18.8
Swaziland 10 59.4 34.4 25
Dominican Republic 12 64.9 66.7 1.8
Romania 12 64.9 70.5 5.6
Netherlands 16 75.8 78.3 2.5
Czech Republic 14 70.4 75.4 5
Income (International monetary units per working male per year, 000’s)
Zambia 1041 47.9 32.4 15.5
Swaziland 7227 64 34.4 29.6
Dominican Republic 9694 66.5 66.7 0.2
Romania 8311 65.2 70.5 5.3
Netherlands 38266 77.9 78.3 0.4
Czech Republic 20370 72.6 75.4 2.8
ConclusionsConclusions The best predictors for life The best predictors for life
expectancy are:expectancy are:• NutritionNutrition• HealthcareHealthcare• IncomeIncome• EducationEducation
This information can be used to This information can be used to improve livesimprove lives