• One of the lowest ranges of life expectancy (59.4 - 65.09) 
• Life expectancy 69 years average -2018- 
• Many parts of the world have a higher life expectancy than India 

What the data suggest about  well-being: 

• Low life expectancy suggests low well-being 
• Less access to health care 
• Exposed to more infections and diseases 

Internal factors:  

• Cannot receive basic medical care 
• Accessibility struggle to medical care as they live in rural locations - 600 million people- 
• Low air quality 

Bibliography: 

• 2019-> 3.1 deaths per 1000 live births
• number of infant deaths decreased from 4.2 in 2009 - 3.1 in 2019  

What the data suggests about well-being: 

• High well-being due to the low amount of infant deaths

Internal factors: 

• Good access to healthcare -mother and child-

External factors: 

• Less access to imports such as medicines 

Bibliography: 

Description of data: 

• Australia had a high number of years of schooling 
• Just over 12 years in total -2017- 
• 22 Years expected 

What the data suggests about well-being: 

• many years of school = high well being 
• education =. better future 
• high amount of schooling = better education 

Internal factors: 

• High employment 
• Access to good health care 

External factors: 

• More access to skilled educators 

Description of data: 

• average number of years compared to the world 
• 6-8 years average 
• 12 years expected 

What the data suggests about well-being: 

• Low number of years compared to Australia = less educated 
• less education 

Internal factors: 

• Unemployment 
•  Low level of health, sickness 
•  Lack of interest from the parents increase the probability of non-schooling and dropout average twice.

External factors: 

• Less access to educated teachers 

Bibliography: 

• High life expectancy 
• 82.7 years on average -2018- 
• Highest group (>74.50)  

What the data suggests about well-being: 

• High life expectancy compared to India shows they have more access to health care 

Internal factors: 

• High and free access to healthcare 

External factors: 

• Access to outside the country medical imports (medicines) 

Bibliography: 

Description of data: 

• Australia has a HDI of 1 -high compared to some parts of the world 

What the data suggests about well-being: 

• Shows Australia has a high well-being as their health, income and education is high 

Internal factors: 

• High lifespan 
• High income 
• Good access to healthcare  

Description of data: 

• 0.5-0.7 HDI
• Lower HDI compared to Australia 

What the data suggests about well-being: 

• Low well-being 
• Low levels of inequality  

Internal factors:  

• inequality
• inadequate medical education services
• population explosion
• Unemployment 

Bibliography: 

• Shows the low gender equality 
• Males have more rights compared to females

What the data suggests about well-being: 

• Low gender equality = low well-being 
• Less chances for females 

Internal factors: 

• Uneven access to education 
• Lack of legal protections 

Bibliography: 

• High gender inequality 
• Lower compared to India and some other countries 

What the data suggests about well-being: 

• High inequality = low well-being 
• Lower inequality/ higher equality than India = higher well-being 

Internal factors: 

• Less education on gender equality and inequality 

Bibliography: 

• 2019- mortality rate was 28.3 deaths to 1000 live births 
• deaths decreases from 47.3 in 2009 to 28.3 in 2019

What the data suggests about well- being: 

• high infant mortality rate = low well-being 
• Less access to good health care 

Internal factors: 

• Less access to good healthcare for mother and child
• Less resources 

External factors: 

• Less access to external resources such as medicines 

Bibliography:

• High unemployment rate 
• 5.36% in 2018 - 5.4% in 2020 

What the data suggests about well-being: 

• Shows India has a low well-being because of the high unemployment rate 
• Higher unemployment = less income = lower well being 

Internal factors:

• Low consumer demand 
• Slow Economic Growth.
• Increase in Population
• Slow Growth of Industrialisation
• COVID 19 affects businesses closing 

• COVID 19 affects travel for work 

Description of data:

• $51,680 - GNI per capita 
• increased of $1920 from 2018-2019
• second highest income group 

What the data suggests about well-being: 

• High national income = high well being 

Internal factors:  

• Consumption- the value of all goods and services acquired and consumed by the country's households.
• Investment 
• Government spending
• Net exports 

External factors:

• Net foreign factor income (NFFI) - difference between a nation's gross national product (GNP) and gross domestic product (GDP)
• COVID affects exports and imports 

Description of data: 

• $6920- GNI per capita 
• increased of $340 form 2018 -2019
• lowest income group 

What the data suggests about well- being: 

• Low GNI = low well-being 
• Lower well-being compared to Australia 

Internal factors

• High population growth 
• Poor industrial development 
• Poor savings and investment 

External factors: 

• Net foreign factor income (NFFI).

Bibliography : 

• medium to high unemployment rate 
• rate of 5.16% in 2019 
• Lower rate than India 

What the data suggests about well-being: 

• High well-being compared to India as the unemployment rate is lower
• lower unemployment rate= more income for families 

Internal factors: 

• Higher education 
• better job matches
• more job possibilities 

Bibliography: