# data[].attributes.body
description of data
- this data shows India’s HPI score and rank, life expectancy, wellbeing, ecological footprint and inequality
- it gives scores and ranks for each section
- India was given a 29.2 HPI score, life expectancy of 67.3, wellbeing score of 4.6, ecological footprint score of 1.2, inequality score of 26%

what the data suggests about wellbeing
- high levels of life expectancy, well being, ecological footprint equals better wellbeing
- low levels of inequality equals better wellbeing
- high HPI equals higher wellbeing

internal factors
- happy intimate relationship with a partner
- network of close friends
- enjoyable and fulfilling career
- enough money
- regular exercise
- nutritional diet
- enough sleep

external factors
- war
- trade relationships with other countries

bibliography
- happy planet index
http://happyplanetindex.org/countries/india
- date retrieved 29th March 2021

# data[].attributes.headline
Hours of unpaid work men vs women in India 

# data[].attributes.subject
Hours of unpaid work men vs women in India 

# data[].attributes.body
description of data
- this line graph shows the amount on unpaid work women do compared to men in India
- it shows the amount of hours they work unpaid in rural and urban areas
- in India women do a significantly larger amount of unpaid work
- in rural areas women do just under 300 hours and men do 25 hours
- in urban areas women do just over 300 hours of unpaid work and men do just under 25 hours

what the data suggests about wellbeing
- higher a amounts of unpaid work equals more stress and less money so that means lower wellbeing
- India’s high hours of women doing unpaid work means they have
lower wellbeing

internal factors
- raising a child
- cooking
- cleaning
- housewife

external factors
- worldwide stereotypes
- men being more likely to get jobs worldwide

bibliography
- Oxfam inequality report 2019

https://www.google.com.au/url?sa=i&url=https%3A%2F%2Fwww.weforum.org%2Fagenda%2F2019%2F02%2Findia-s-inequality-crisis-hurts-girls-and-women-the-most&psig=AOvVaw05uF8wbPaWdJ_PMIf4-igk&ust=1617070499174000&source=images&cd=vfe&ved=0CAIQjRxqFwoTCLDt15C31O8CFQAAAAAdAAAAABAD

# data[].attributes.body
description of data
- this map shows the levels of economic freedom in countries all around the world
- gives scores that range from free to repressed

what the data suggests about wellbeing
- Australia got ranked in the ‘free’ category
- this shows that Australia is one of the most economically free countries around the world
- more economic freedom equals higher well being

internal factors
- property rights
- judicial effectiveness
- government integrity
- max burden
- government spending
- labor freedom
- monetary freedom

external factors
- trade freedom
- war

bibliography
- source 2 : oxford university pres
- date retrieved : 28th March 2021

# data[].attributes.body
description of data
- this map shows a country’s gross national income in US dollars
- it uses a colour system which colour codes countries all the world into their GNI rank
- it also uses a number rank system which goes form lightest to darkest to show the low to high levels of GNI

what the data suggests about wellbeing
- Australia is ranked in the highest category which is $25,000+ US
- the data states “generally countries with higher GNI per capita tend to have longer life expectancies, higher literacy rates, better access to safe water and lower infant mortality rates”
- it also says “a countries GNI per capita tends to be closely linked with other indicators that measure the social, economic and environmental wellbeing of the country and its people”

internal factors
- government spending
- capital spending by businesses

external factors
- net income by domestic residents and businesses from overseas investments
- net exports (exports minus imports)

bibliography
- source 8.2.1
- gross national income (GNI) per capita, 2013 world bank, 2014
- date retrieved : 28th March 2021

# data[].attributes.headline
Percentage of the population of India that is enslaved 

# data[].attributes.subject
Percentage of the population of India that is enslaved 

# data[].attributes.body
description of data
- this map shows how much of the population is enslaved in countries all over the world
- it uses a colour and rank system to show how much of each country is enslaved
- some countries go off the rank level and their percentages are shown on the map

what the data suggests about wellbeing
- this map gives India a shocking 1.1 which is off the rank
- on this map it shows India as the country with the fourth largest amount of enslaved people
- countries with higher levels of slavery means lower levels of wellbeing

internal factors
- the importance of the West Indian colonies
- the shortage of labour
- the failure to find alternative sources of labour
- the legal position
- racial attitudes
- religious factors

external factors
- war/military forces

bibliography
- source 8.10.4
- global slavery index, 2014
- date retrieved : 28th March 2021

# data[].attributes.body
description of data
- this map shows the infant mortality rates in countries over the world
- it uses scores and colours to show which countries have high infant mortality rates and which countries have low infant mortality rates
what the data suggests about wellbeing
- on this map Australia is ranked in the <10 percentile which is the lowest category
- the data shows that countries with higher infant mortality rates means higher wellbeing levels
- the infant mortality rate is the number of infant deaths for every 1,000 live births
internal factors
- good healthcare
- healthy pregnancy
- access to good healthcare
- trained nurses and doctors
- proper equipment
external factors
- If needing foreign doctors use trained and skilled doctors
- good worldwide economy
bibliography
- Infant Mortality, World Health Organisation, 2014
- date retrieved : 29th March 2021

# data[].attributes.body
description of data
- this map shows Infant mortality rates in countries all around the world
- it uses a colour and rank system to show the different levels of infant mortality across countries around the world
what the data suggests about wellbeing
- on this map India is ranked in the category 10-49 which is the second lowest category
- this data shows that higher infant mortality rate equals lower wellbeing
- the infant mortality rate is the number of infant deaths for every 1,000 live births
internal factors
- birth defects.
- preterm birth and low birth weight.
- maternal pregnancy complications.
- sudden infant death syndrome.
- injuries (e.g., suffocation)

external factors
- war
- using foreign doctors/nurses
bibliography
- Infant Mortality, World Health Organisation, 2014
- date retrieved : 26th March 2021

# data[].attributes.body
description of data
- this map shows the life expectancy of living in different countries all around the world
- it uses different shades of green to show the different ages people in each country live until
what the data suggests about wellbeing
- Australia has a high life expectancy getting placed in the 75+ years of age percentile
- this data shows that countries like Australia with high life expectancies have a higher well being
internal factors
- access to health care
- hygiene
- diet and nutrition
- exercise
- crime rates
external factors
- war
- where food imports are coming from (clean or unclean countries)
- amount of tourists that may carry diseases
bibliography
- life expectancy. Population reference Bureau, 2015
- source 8.6.1
date retrieved : 26th March 2021

# data[].attributes.body
description of data
- this map shows the life expectancy of people living in different countries all around the world.
- it uses a colour system to colour coordinate each country according to their life expectancy
what the data suggests about wellbeing
- India has a low life expectancy being placed in the 60-64 years of age percentile
- the data shows that countries with lower levels of life expectancy have lower well being compared to places with high life expectancy
internal factors
- the quality of the health system and the ability of people to access it
- health behaviours such as tobacco and excessive alcohol consumption, poor nutrition and lack of exercise
external factors
- unequal trade relationships
- war
bibliography
- life expectancy. Population reference Bureau, 2015
- source 8.6.1
- date retrieved : 25th March 2021

# data[].attributes.body
description of data
- this map shows corruption perception of 180 countries/territories all over the world
- it uses a ranking system to rank the countries from most to least corrupt
- it uses a score system to score the country on how corrupt it is
what the data suggests about wellbeing
- Australia has a low level of corruption with a score of 77 and a rank of 11
- the data shows that countries with high levels of corruption equal less freedom and being more controlled by authorities. corrupt nations tend to have low levels of happiness and life satisfaction
- the data interprets that countries with low levels of corruption have more freedom and less corrupt nations tend to have high levels of happiness and life satisfaction
internal factors
- high media freedom
- open economy
- high levels of education
external factors
- coronavirus
- war
bibliography
- Transperancy international - map of corruption levels in countries all over the world (2020)
- URL https://www.transparency.org/en/cpi/2020/index
- date retrieved : 25th March 2021