PHN Data: Flat files

A flat file is a type of data storage format that organises information in a plain, unstructured text file. In a flat file, data are stored in a tabular form, with each line representing a record and individual data elements separated by delimiters, such as commas or tabs.

PHIDU data flat files comprise data structured by Broad topic, Topic, and Indicator where each row represents a geographic area. PHIDU data flat files are available for the following geographies:

Primary Health Networks (PHNs)
Higher structures - Greater Capital City Statistical Areas/Rest of States/NT; States/Territories; and Australia
Population Health Areas (PHAs) within PHNs
Local Government Areas (LGAs) with PHNs

Data Updated: 20 December 2023

All PHNs and higher structures

Primary Health Networks (PHNs)

Higher structures

NSW PHNs

Central and Eastern Sydney

Northern Sydney

Western Sydney

Nepean Blue Mountains

South Western Sydney

South Eastern NSW

Western NSW

Hunter New England and Central Coast

North Coast

Murrumbidgee

Data by Primary Health Networks (Totals)

Data by List of PHA and LGAs in the PHNs

Qld PHNs

Data by Primary Health Networks (Totals)

Data by List of PHA and LGAs in the PHNs

Further information

Change log

Data schema

Item	Comment
Area code	Relates to the geographic code for the area
Area name	Relates to the geographic name for the area
Broad_topic	Data theme, made up of a group of topics
Topic	A group of indicators
Indicator	A single indicator
Time_period	The time period the indicator data was collected in
Measure_type	The indicators method of calculation
Metadata	Notable information if any about the indicator
Count	The number of observations for an indicator for a particular geographic area
Rate	The rate for an indicator for a particular geographic area
Topic_index	A sort column for the Topic column
Indicator_index	A sort column for the Indicator column
Broad_topic_index	A sort column for the Broad_topic column

Disclaimer

Users are advised to exercise caution and refrain from aggregating rates or data from different areas, as the flat file format may lack the necessary granularity and relational structure to ensure accurate comparisons. The absence of specific relationships and contextual information between data points may lead to misinterpretation or erroneous conclusions when attempting to combine rates across various areas.

Please click here for more information on Aggregating data to larger areas.

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