list_curated
Returns a sorted list of 10 ABS dataflow IDs that accept plain-English filter keys and provide rich metadata for key economic indicators like unemployment, inflation, wages, GDP, housing, and population.
Instructions
List the 10 ABS dataflow IDs with hand-curated plain-English support.
These are the dataflows where get_data accepts plain-English filter
keys ({"region": "nsw"}) and describe_dataset returns rich
human-readable metadata. All other ABS dataflows (~1,200) are still
accessible via get_data with raw SDMX dimension IDs and codes.
The 10 curated dataflows: - LF — Labour Force (unemployment, employment, participation) - CPI — Consumer Price Index (inflation) - WPI — Wage Price Index (wage growth) - AWE — Average Weekly Earnings - JV — Job Vacancies - BA_GCCSA — Building Approvals (by Greater Capital City) - LEND_HOUSING — Lending Indicators / Housing Finance - ANA_AGG — National Accounts (GDP) - ERP_Q — Estimated Resident Population (quarterly) - ABS_ANNUAL_ERP_ASGS2021 — Population (annual; supports SA2/SA3/SA4)
Example: ids = list_curated() # → ['ABS_ANNUAL_ERP_ASGS2021', 'ANA_AGG', 'AWE', 'BA_GCCSA', 'CPI', # 'ERP_Q', 'JV', 'LEND_HOUSING', 'LF', 'WPI']
When to use: - You want to know which dataflows have plain-English support - You're enumerating capabilities programmatically (e.g. building a UI) - You're showing users a "supported topics" list
Returns: Sorted list of dataflow IDs. Always 10 entries today.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |