# data[].attributes.body
people move in and out of areas over time. Based on changing rather than stable populations.

# data[].attributes.body
not everyone will match what the average is. Does not capture nuances or variation within an area.

# data[].attributes.body
can be a good measure when others are not available.

# data[].attributes.headline
Some people are more suited in the academic environment than in jobs outside of uni, so they might choose to stay in uni and do research. This might not be indicative of their SES

# data[].attributes.subject
Some people are more suited in the academic environment than in jobs outside of uni, so they might choose to stay in uni and do research. This might not be indicative of their SES

# data[].attributes.body
brings together a number of different indicators.

# data[].attributes.body
benefit: can be linked with or indicated by education and income to measure overall SES

# data[].attributes.body
benefit: can be linked with or indicated by education and income to measure overall SES

# data[].attributes.body
can fluctuate depending on circumstances within a family or household (e.g. changes in life course, parental leave, changes to work). Assumes that working can be stable.

# data[].attributes.headline
Maybe someone comes from a low SES background but due to wanting to achieve better life outcomes, they go through long-term education. 

# data[].attributes.subject
Maybe someone comes from a low SES background but due to wanting to achieve better life outcomes, they go through long-term education. 

# data[].attributes.body
can give a better sense of people's resources and links to health.

# data[].attributes.body
benefit: can give indication of community SES based on employment/lack of in a certain area

# data[].attributes.body
captures the combined status of a family or household.

# data[].attributes.body
limitation: people with inconsistent job history sometimes positioned in between SES groups

# data[].attributes.body
limitation: if measured by individuals rather than household, children who are not yet in workforce are excluded

# data[].attributes.headline
Education level can't measure soft skills, life skills and real life experience. Sometimes, level of experience and life circumstances is more indicative of SES levels.

# data[].attributes.subject
Education level can't measure soft skills, life skills and real life experience. Sometimes, level of experience and life circumstances is more indicative of SES levels.

# data[].attributes.body
limitation: sometimes measured by household so can ignore some of the members occupations

# data[].attributes.headline
higher education usually leads to more stable income jobs 

# data[].attributes.subject
higher education usually leads to more stable income jobs 

# data[].attributes.body
benefit: can measure diverse range of people in different occupations

# data[].attributes.headline
measures family background (family's ability to support children in higher education)

# data[].attributes.subject
measures family background (family's ability to support children in higher education)