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Census Measures of Service Use by Tim Carlton

This comprehensive report explores how Census data can be utilized to analyze service use in various sectors such as education, healthcare, welfare, and justice. Discover the insights gained from linking Census information with hospital records and the importance of accurate data for policy-making.

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Census Measures of Service Use by Tim Carlton

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  1. Census measures of service use Tim Carlton Commonwealth Grants Commission

  2. Census generally tells us who people are; • Not what they are doing • Why is Census useful? • Internal consistency

  3. Most hospitalised occupations • Hospital data identify occupation • Comparable definitions and coding processes • Context sensitive answers

  4. What State services • School Education • Post school education • Health • Admitted patients • Welfare • Residential care for people with disabilities • Child protection • Public Housing • Justice services • Prisons • Transport Services

  5. Apparent participation rate of 10-14 year oldsRatio of School enrolments to ERP

  6. Indigenous 17 year olds in education

  7. Welfare • Range of Indicators of use of welfare services • Institutional care: Spent census night in • Hostel for disabled • hostel for the homeless, night shelter, refuge; or • other welfare institution. • Non-Institutional care • Foster care • Group homes for disabled

  8. Foster children identified in Census

  9. Ancestry of non-Indigenous children in foster care

  10. Age distribution of people in group houses

  11. Public housing per 1,000 population

  12. Relative use of public housingStandardised for equivalised household income

  13. Prisoners • Census forms did not go to individual prisoners • Prison staff filled out based on admin records • Indigeneity, birthplace, age – • have admin data comparability issues • Other indicators — Not Stated

  14. Indigenous Hospital Record Project • Do Indigenous people identify in hospital admissions? • Ideally Census Data enhancement would link records between census and hospital admissions. • Please pleaseplease! • Next best approach is to link hospitals

  15. Linking hospitals • AIHW, through State health departments, tells us about people who spent census night as a patient in a public hospital: • Hospital = Princeton‑Plainsboro Teaching Hospital • SLA = “West Windsor, New Jersey” • Admitted on or before 8 August 2006 • Separated on or after 9 August 2006 • 420 People including 25 Indigenous • Census tells us about people who spent censusnight as a patient in a public hospital • SLA = “West Windsor, New Jersey” • Type of Non Private dwelling = Public hospital (not psychiatric) • Residential status in NPD = Guest, patient, inmate, other resident. • 400 People, including 30 Indigenous

  16. Comparing patients counts by SLA

  17. Indigenous Proportion of patients

  18. Indigenous proportion of patients — Remoteness

  19. Indigenous proportion of patients — State

  20. Indigenous identification in hospital separations data-quality report

  21. Conclusions • Census is phenomenally powerful • Use your imagination • Let us use the power • Table builder needs more power • Ethnicity of parents of 17 years olds in school • Really identify Disabled group homes • Where do hospital patients usually live • Census data enhancements

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