AIHW - Chronic Kidney Disease (CKD) - Prevalence by Sex (PHA) 2011-2012

This dataset presents the statistics of prevalence for chronic kidney disease (CKD) distributed by sex for the years between 2011-2012. The data is and is aggregated to the 2011 Public Health Information Development Unit (PHIDU) Population Health Areas (PHA), based on the 2011 Australian Statistical Geography Standard (ASGS).

The CKD datasets were released by the Australian Institute of Health and Welfare (AIHW) to present data on prevalence, treatment (hospitalisations for CKD and dialysis) and deaths. It shows the distribution of the impact of CKD across Australia and visualises rates of CKD and the health and demographic profile for local areas.

The data was modelled by the AIHW from the 2011-12 Australian Bureau of Statistics (ABS) Australian Health Survey (AHS): National Health Measures Survey.

For further information about this dataset, please visit:

• AIHW Geographical variation in chronic kidney disease data.: https://www.aihw.gov.au/reports/chronic-kidney-disease/geographical-variation-ckd/data
• AIHW Geographical variation in chronic kidney disease report.: https://www.aihw.gov.au/reports/chronic-kidney-disease/geographical-variation-ckd/contents/contents

Please note:

• AURIN has spatially enabled the original data using the PHIDU - PHAs.: http://phidu.torrens.edu.au/help-and-information/about-our-data/geographical-structures#population-health-areas
• Where data has not been published due to small numbers, "n.p." in the original data, the value has been set to null.
• Where values have been identified to have a relative root mean square error (RRMSE), a new column has been added where "*" presents an RRMSE between 25% and 50%. This data should be used with caution.
• Population in this dataset refers to 'population at risk' as modelled by the ABS. For more information, see the Explainatory Notes: https://aihw.gov.au/reports/chronic-kidney-disease/geographical-variation-ckd/notes.
• CKD prevalence estimates are based on measures of the estimated glomerular filtration rate (eGFR) and the albumin creatinine ratio (ACR) to identify biomedical signs of CKD.