--- title: Reporting unit mappings to health networks and states in MyHospitals, Australia resource: https://publicdata.au/d/au-myhospitals-reporting-unit-mappings/ publisher: Australian Institute of Health and Welfare licence: CC BY 4.0 licence_url: https://creativecommons.org/licenses/by/4.0/ version: 2026-10-27 rows: 5910 fields: 8 source: https://myhospitalsapi.aihw.gov.au/api/v1/reporting-units source_sha256: 37a9633f8576adab5065647e44d17cf3b21459a80481938fb98db4c75453933a language: en-AU operator: National Digital not_endorsed: true --- # Reporting unit mappings to health networks and states in MyHospitals, Australia The Local Hospital Network, Primary Health Network and state each AIHW MyHospitals reporting unit maps to, about 5,900 rows, by code and name. Published by Australian Institute of Health and Welfare under CC BY 4.0. National Digital converted the publisher's file to other formats. It renamed and typed the columns and kept only those the schema lists. National Digital made these changes, and the publisher is not responsible for them. Australian Institute of Health and Welfare has not endorsed this site. Also called: Hospital to Local Hospital Network mapping with codes, Hospital to Primary Health Network mapping, MyHospitals reporting unit mappings. ## Download Latest version, redirects to `https://publicdata.au/d/au-myhospitals-reporting-unit-mappings/v/2026-10-27/`: - csv: https://publicdata.au/d/au-myhospitals-reporting-unit-mappings/latest/data.csv (787 KB) - xlsx: https://publicdata.au/d/au-myhospitals-reporting-unit-mappings/latest/data.xlsx (250 KB) - json: https://publicdata.au/d/au-myhospitals-reporting-unit-mappings/latest/data.json (1.6 MB) - parquet: https://publicdata.au/d/au-myhospitals-reporting-unit-mappings/latest/data.parquet (63 KB) - sqlite: https://publicdata.au/d/au-myhospitals-reporting-unit-mappings/latest/data.sqlite (770 KB) - duckdb: https://publicdata.au/d/au-myhospitals-reporting-unit-mappings/latest/data.duckdb - ndjson: https://publicdata.au/d/au-myhospitals-reporting-unit-mappings/latest/data.ndjson (1.6 MB) - csv.gz: https://publicdata.au/d/au-myhospitals-reporting-unit-mappings/latest/data.csv.gz (66 KB) Pinned version 2026-10-27: `https://publicdata.au/d/au-myhospitals-reporting-unit-mappings/v/2026-10-27/data.`. Dated versions keep their content. ## Query The query API returns only the rows you ask for, as JSON, NDJSON or CSV, from the same typed rows as the files. It needs no key. Rows: https://publicdata.au/api/v1/datasets/au-myhospitals-reporting-unit-mappings/rows. Counts and sums: https://publicdata.au/api/v1/datasets/au-myhospitals-reporting-unit-mappings/aggregate. - Rows: https://publicdata.au/api/v1/datasets/au-myhospitals-reporting-unit-mappings/rows?map_type_code=eq.STATE_MAPPING&limit=5 - Aggregate: https://publicdata.au/api/v1/datasets/au-myhospitals-reporting-unit-mappings/aggregate?group=reporting_unit_type&metric=count&map_type_code=eq.STATE_MAPPING Each filter is `field=operator.value` in the query string, and every filter must match. A number or date field compares as a number or date, and a text field compares as text. Values are case-sensitive, except that `like` and `ilike` ignore case in the ASCII letters A to Z. Prefix `not.` to negate a filter, as `not.eq.value`. Operators: `eq.value`, `neq.value`, `gt.value`, `gte.value`, `lt.value`, `lte.value`, `like.*text*`, `ilike.*text*`, `in.(a,b,c)`, `is.null`. - `select`: Fields to return, comma-separated. Every field when absent. - `order`: `field.asc` or `field.desc`, comma-separated. When absent, rows come in the order of the file they are read from. For the newest versions that is the version's own data.parquet, which keeps the publisher's order unless the dataset sorted it. Any other version is read from the Parquet file the answer names in `file`, and when that file is sorted the answer names its sort in `order`, which ties follow too. - `limit`: Rows per page, 1 to 10,000. 100 when absent. - `offset`: Rows to skip. The `next` URL in each answer sets it for you. - `group`: On `aggregate`, fields to group by, comma-separated. - `metric`: On `aggregate`, `count`, `sum.field`, `avg.field`, `min.field` or `max.field`, comma-separated. `count` when absent. - `format`: `json`, `ndjson` or `csv`. JSON carries the provenance header, and the others carry it in response headers. Without a version the API answers from the newest version, and that answer changes when the publisher releases again. Put `versions//` before `rows` or `aggregate` for an answer from that version alone. Every version with a table can be queried, and `/api/v1/datasets//versions` lists them. A query on a version the database does not hold is read from its Parquet file, and one that would read too much of it is refused with DuckDB SQL that answers it from the file. The API allows 60 requests in 10 seconds from one address. Above that it answers 429 for 10 seconds with a `Retry-After` header, a `RateLimit-Policy` header and a JSON body that gives the limit. Every API answer carries the same `RateLimit-Policy`. A client should wait the `Retry-After` seconds, or read the files, which have no limit. OpenAPI for this dataset: https://publicdata.au/d/au-myhospitals-reporting-unit-mappings/openapi.json ## Explore Charts and dashboards in the browser: https://publicdata.au/d/au-myhospitals-reporting-unit-mappings/explore/. A dashboard can be shared as a link or embedded. ## Smaller files - by `map_type_code`: https://publicdata.au/d/au-myhospitals-reporting-unit-mappings/v/2026-10-27/by/map_type_code/index.json lists 4 files ## Fields | field | type | publisher's header | note | |---|---|---|---| | `reporting_unit_code` | string | reporting_unit_code | | | `reporting_unit_name` | string | reporting_unit_name | | | `reporting_unit_type` | string | reporting_unit_type.reporting_unit_type_name | | | `map_type_code` | string | mapped_reporting_units.map_type.mapped_reporting_unit_code | | | `map_type_name` | string | mapped_reporting_units.map_type.mapped_reporting_unit_name | | | `mapped_code` | string | mapped_reporting_units.mapped_reporting_unit.reporting_unit_code | | | `mapped_name` | string | mapped_reporting_units.mapped_reporting_unit.reporting_unit_name | | | `mapped_type` | string | mapped_reporting_units.mapped_reporting_unit.reporting_unit_type.reporting_unit_type_name | | ## Versions - 2026-10-27: 5910 rows, 8 fields, sha256 37a9633f8576. https://publicdata.au/d/au-myhospitals-reporting-unit-mappings/v/2026-10-27/ Machine-readable: https://publicdata.au/d/au-myhospitals-reporting-unit-mappings/versions.json, https://publicdata.au/d/au-myhospitals-reporting-unit-mappings/changes.json, https://publicdata.au/d/au-myhospitals-reporting-unit-mappings/datapackage.json, https://publicdata.au/d/au-myhospitals-reporting-unit-mappings/schema.json, https://publicdata.au/d/au-myhospitals-reporting-unit-mappings/history.tar.zst ## Part of AIHW MyHospitals - [Hospitals, Local Hospital Networks and Primary Health Networks in MyHospitals, Australia](https://publicdata.au/d/au-hospitals-myhospitals/) - [Reported measures and their codes in MyHospitals, Australia](https://publicdata.au/d/au-myhospitals-reported-measures/) - [Reporting unit codes and alternative names in MyHospitals, Australia](https://publicdata.au/d/au-myhospitals-reporting-units/) - [Emergency department patients seen on time by hospital and triage category, Australia](https://publicdata.au/d/au-ed-patients-seen-on-time/) - [Emergency department presentations by hospital and triage category, Australia](https://publicdata.au/d/au-ed-presentations/) - [Time spent in emergency departments by hospital and patient group, Australia](https://publicdata.au/d/au-ed-time-in-ed/) - [Emergency department patients who left within four hours by hospital and patient group, Australia](https://publicdata.au/d/au-ed-time-within-4-hours/) - [Cancer surgery waiting times by hospital and cancer type, Australia](https://publicdata.au/d/au-cancer-surgery-waiting-times/) - [Elective surgery waiting times by hospital and urgency category, Australia](https://publicdata.au/d/au-elective-surgery-waiting-times/) - [Elective surgery waiting times by hospital and intended procedure, Australia](https://publicdata.au/d/au-elective-surgery-waiting-times-by-procedure/) - [Elective surgery waiting times by hospital and surgical specialty, Australia](https://publicdata.au/d/au-elective-surgery-waiting-times-by-specialty/) ## Same subject, other publishers - [Emergency department busyness by day and hour, Queensland](https://publicdata.au/d/qld-emergency-department-busyness/) (Qld) - [Elective surgery by specialty and hospital, Queensland, each quarter](https://publicdata.au/d/qld-elective-surgery-by-specialty/) (Qld) - [Elective surgery by urgency category and hospital, Queensland, each quarter](https://publicdata.au/d/qld-elective-surgery-by-category/) (Qld) - [Public hospital emergency departments and minor injury clinics, Queensland, live list](https://publicdata.au/d/qld-emergency-department-facilities/) (Qld) - [People waiting and median waits in emergency departments, Queensland, live](https://publicdata.au/d/qld-emergency-department-waits-now/) (Qld) - [Public hospital locations, South Australia](https://publicdata.au/d/sa-public-hospitals/) (SA) - [Private hospital locations, South Australia](https://publicdata.au/d/sa-private-hospitals/) (SA) - [Modified Monash Model 2023 remoteness by suburb and postcode, Australia](https://publicdata.au/d/au-modified-monash-model-by-suburb/) (Cth) - [Notifiable diseases by quarter, Queensland, 2010 to 2014](https://publicdata.au/d/qld-notifiable-diseases-2010-2014/) (Qld) - [Public dental waiting lists by clinic, Queensland, latest quarter](https://publicdata.au/d/qld-public-dental-waiting-lists/) (Qld) - [Council food safety enforcement in the processor and manufacturer sector, South Australia](https://publicdata.au/d/sa-food-enforcement-processor-manufacturer/) (SA) - [Air quality monitoring sites, South Australia](https://publicdata.au/d/sa-air-quality-monitoring-sites/) (SA) ## Attribution and citation Based on Australian Institute of Health and Welfare material. Australian Institute of Health and Welfare, Australian Government, MyHospitals Data API, reporting units, sourced 26 October 2026, https://myhospitalsapi.aihw.gov.au/, licensed under CC BY 4.0. The licence requires the publisher's attribution. We ask that you also name publicdata.au and link to the version you used. Plain text: Based on Australian Institute of Health and Welfare material. Australian Institute of Health and Welfare, Australian Government, MyHospitals Data API, reporting units, sourced 26 October 2026, https://myhospitalsapi.aihw.gov.au/, licensed under CC BY 4.0. Serialised and versioned by National Digital at publicdata.au, https://publicdata.au/d/au-myhospitals-reporting-unit-mappings/v/2026-10-27/ Harvard: Australian Institute of Health and Welfare (2026) Reporting unit mappings to health networks and states in MyHospitals, Australia, version 2026-10-27 [data set], CC BY 4.0, sourced 26 October 2026. Serialised and versioned by National Digital at publicdata.au. Available at: https://publicdata.au/d/au-myhospitals-reporting-unit-mappings/v/2026-10-27/ Markdown: Data: [AIHW MyHospitals](https://www.aihw.gov.au/copyright), Australian Institute of Health and Welfare, [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/), sourced 26 October 2026. Files: [publicdata.au](https://publicdata.au/d/au-myhospitals-reporting-unit-mappings/v/2026-10-27/) by [National Digital](https://nationaldigital.com.au/). ## Questions ### How do I download Reporting unit mappings to health networks and states in MyHospitals as a CSV file? Open https://publicdata.au/d/au-myhospitals-reporting-unit-mappings/latest/data.csv. It redirects to the newest dated version, which is https://publicdata.au/d/au-myhospitals-reporting-unit-mappings/v/2026-10-27/data.csv today. The same path serves Excel, JSON, Parquet, SQLite, DuckDB, NDJSON. A dated URL never changes, so use it when the file must stay the same. ### Can I open Reporting unit mappings to health networks and states in MyHospitals in Excel? Yes. https://publicdata.au/d/au-myhospitals-reporting-unit-mappings/v/2026-10-27/data.xlsx is a workbook with the 5,910 rows on a records sheet, the field list on a second sheet and the provenance on a third. The CSV also opens in Excel. https://publicdata.au/d/au-myhospitals-reporting-unit-mappings/v/2026-10-27/data.csv.gz is the CSV at about a tenth of the size. ### How often is Reporting unit mappings to health networks and states in MyHospitals updated? AIHW releases it several times a year. This site checks the portal every week and adds a dated version when the file changes. ### Can I use Reporting unit mappings to health networks and states in MyHospitals commercially? Yes. CC BY 4.0 allows commercial use, redistribution and derived works as long as the attribution is kept. The attribution string is in this page's side column and inside every file. ### Is this the official source for Reporting unit mappings to health networks and states in MyHospitals? No. The publisher is Australian Institute of Health and Welfare, and its page is https://www.aihw.gov.au/copyright. National Digital converted the publisher's file to other formats. It renamed and typed the columns and kept only those the schema lists. National Digital made these changes, and the publisher is not responsible for them. The original sits beside every version as source.json with its SHA-256, so the two can be compared. ### How do I get only the rows for one map type code? Every version has one JSON file per value of `map_type_code`, 4 files in the current version, listed with row counts at https://publicdata.au/d/au-myhospitals-reporting-unit-mappings/v/2026-10-27/by/map_type_code/index.json. For example https://publicdata.au/d/au-myhospitals-reporting-unit-mappings/v/2026-10-27/by/map_type_code/state-mapping.json holds the 2,816 rows where `map_type_code` is `STATE_MAPPING`. ### What is in each row? One mapping the MyHospitals Data API lists for a reporting unit. It gives the unit's code, name and type, the type of mapping, and the code, name and type of the unit it maps to. ### How do I find a hospital's Local Hospital Network code? Take the rows whose reporting unit is the hospital and whose mapping type is H_LHN. The Institute lists the same mapping under the network as well, so a network's rows of that type name its hospitals. A hospital the Institute maps to no network, such as most private hospitals, has no H_LHN row. ### Why do some rows repeat? The Institute lists each state's and the nation's mapping to itself twice, and both rows are kept as served. The Institute has not endorsed this site. ## What this site did to the data Cells were typed, headers were renamed to snake_case and the encoding was made UTF-8. Rows were left alone. Nothing is derived. The publisher's file is beside every version as `source.json`. ## Improve this dataset This page is built from [register/au-myhospitals-reporting-unit-mappings.yaml](https://github.com/National-Digital/publicdata.au/blob/main/register/au-myhospitals-reporting-unit-mappings.yaml) on GitHub, and a fix to it is welcome as a pull request. https://publicdata.au/contribute/ explains how.