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Datasets / Elective surgery waiting times by hospital and surgical specialty, Australia / 2026-10-20

Elective surgery waiting times by hospital and surgical specialty, Australia, version 2026-10-20

latest
As at 19 August 2026Rows 27,902Fields 11Fetched 19 October 2026Source SHA-256 ec085bef704b5669…

This version is kept for as long as this site exists, and its URL can be cited. Its files change only for the reasons the terms give, and each change is recorded in its notes. The publisher's file is here as source.xlsx, byte for byte.

About this version

The publisher's server states no change date, so this version is dated by the fetch.

Files

  • data.csv3.3 MB CSV: UTF-8 without a byte-order mark, RFC 4180 quoting, one header row using the normalised field names. Opens in Excel, Numbers and Sheets.
  • data.csv-metadata.json3.6 KB
  • data.csv.gz301 KB CSV (gzip): The same CSV, gzipped, at about a tenth of the size. curl, pandas, DuckDB and R read it directly.
  • data.duckdb DuckDB: One DuckDB database with a records table of typed columns, a fields table and a publicdata metadata table. It attaches read-only over HTTPS, so DuckDB, Python and R can query it without downloading it.
  • data.json9.4 MB JSON: One object with a publicdata header (publisher, licence, attribution, version, source hash), a fields list and a records array of 27,902 objects with typed values. Blank cells are null.
  • data.ndjson9.4 MB NDJSON: The first line is the provenance header, then one JSON object per line. For streaming and for tools that read line by line.
  • data.parquet149 KB Parquet: Columnar and typed. The smallest download and the fastest to query. Reads directly in DuckDB, pandas, Polars, Arrow and Spark. The provenance header is in the file metadata.
  • data.sqlite5.2 MB SQLite: One database with a records table, a fields table and a publicdata metadata table. Open it with any SQLite client.
  • data.xlsx1.2 MB Excel: One workbook with a records sheet of 27,902 typed rows, a fields sheet and a publicdata sheet with the provenance. Dates are real Excel dates. Opens in Excel, Numbers, LibreOffice and Sheets.
  • manifest.json1.7 KB
  • schema.json1.7 KB
  • schema.sql1.4 KB
  • source.xlsx18 MB

SHA256SUMS holds the SHA-256 of every file in this version under the name it downloads as. Check what you downloaded with sha256sum -c --ignore-missing SHA256SUMS in the same folder. On a Mac, use shasum -a 256 -c --ignore-missing SHA256SUMS. Each list is signed by the deploy that wrote it: gh attestation verify SHA256SUMS --repo National-Digital/publicdata.au --source-ref refs/heads/main shows it came from this project's main branch.

Smaller files by field: by/state/.

Attribution the licence asks for

Based on Australian Institute of Health and Welfare material. Australian Institute of Health and Welfare, Australian Government, MyHospitals Data API, elective surgery waiting times data extract, sourced 19 October 2026, https://myhospitalsapi.aihw.gov.au/, licensed under CC BY 4.0.

Provenance

Fetched from myhospitalsapi.aihw.gov.au on 19 October 2026. The portal listed the licence as CC BY 4.0 at that moment. manifest.json has every detail.

0200k400k600k800k2011–12: 659,7972012–13: 671,0752012–132013–14: 699,0352014–15: 697,5762014–152015–16: 711,8752016–17: 748,0812016–172017–18: 748,8292018–19: 758,1872018–192019–20: 688,3022020–21: 754,5992020–212021–22: 622,9882022–23: 735,4602022–232023–24: 778,4662024–25: 790,5282024–25
Elective surgeries, Australia per financial year, 2011–12 to 2024–25. Rows where reporting unit type is National are drawn. A sum of the surgeries column in this version, worked out in the build.
Change from the version before

First version followed here.

When the publisher releases again, this panel shows rows added, removed and changed by reporting_unit, reporting_unit_type, year, surgical_specialty, with a link to the diff file.