--- title: Family and domestic violence hospitalisations by relationship to perpetrator, Australia resource: https://publicdata.au/d/au-fdv-hospitalisations/ publisher: Australian Institute of Health and Welfare licence: CC BY 4.0 licence_url: https://creativecommons.org/licenses/by/4.0/ version: 2026-08-06 rows: 256 fields: 6 source: https://www.aihw.gov.au/getmedia/f4a9196a-9797-4b03-acc8-d72a5b83d370/AIHW-FDSV-all-data-download.xlsx source_sha256: d822a928d03fccd6ec1b6b970099e2e0f1b309e666c9d9636e87537ef53195b5 language: en-AU operator: National Digital not_endorsed: true --- # Family and domestic violence hospitalisations by relationship to perpetrator, Australia Hospital admissions for family and domestic violence assault injuries by financial year, age group, sex and the perpetrator's relationship, as counts and rates per 100,000, from 2020-21. Updated with the AIHW data tables. Published by Australian Institute of Health and Welfare under CC BY 4.0 and republished here in other formats, with cells typed and suppressed values made null. Australian Institute of Health and Welfare has not endorsed this site. Also called: FDV hospitalisations, Domestic violence injury hospitalisations, AIHW FDSV data tables NHMD 1, Assault hospitalisations by perpetrator. ## Download Latest version, redirects to `https://publicdata.au/d/au-fdv-hospitalisations/v/2026-08-06/`: - csv: https://publicdata.au/d/au-fdv-hospitalisations/latest/data.csv (20 KB) - xlsx: https://publicdata.au/d/au-fdv-hospitalisations/latest/data.xlsx (15 KB) - json: https://publicdata.au/d/au-fdv-hospitalisations/latest/data.json (44 KB) - parquet: https://publicdata.au/d/au-fdv-hospitalisations/latest/data.parquet (8.5 KB) - sqlite: https://publicdata.au/d/au-fdv-hospitalisations/latest/data.sqlite (45 KB) - duckdb: https://publicdata.au/d/au-fdv-hospitalisations/latest/data.duckdb (100 KB) - ndjson: https://publicdata.au/d/au-fdv-hospitalisations/latest/data.ndjson (44 KB) - arrow: https://publicdata.au/d/au-fdv-hospitalisations/latest/data.arrow (10 KB) - csv.gz: https://publicdata.au/d/au-fdv-hospitalisations/latest/data.csv.gz (1.8 KB) Pinned version 2026-08-06: `https://publicdata.au/d/au-fdv-hospitalisations/v/2026-08-06/data.`. Dated versions never change. ## 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-fdv-hospitalisations/rows. Counts and sums: https://publicdata.au/api/v1/datasets/au-fdv-hospitalisations/aggregate. - Rows: https://publicdata.au/api/v1/datasets/au-fdv-hospitalisations/rows?unit=eq.Number&year=eq.2024%E2%80%9325&age_group=eq.All%20ages&perpetrator_relationship=eq.Spouse%20or%20domestic%20partner&limit=5 - Aggregate: https://publicdata.au/api/v1/datasets/au-fdv-hospitalisations/aggregate?group=sex&metric=sum.value&unit=eq.Number&year=eq.2024%E2%80%9325&age_group=eq.All%20ages&perpetrator_relationship=eq.Spouse%20or%20domestic%20partner 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 with `ilike`. 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. The publisher's row order when absent. - `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 loaded version, and that answer changes when the publisher releases again. Put `versions//` before `rows` or `aggregate` for an answer that never changes. `/api/v1/datasets//versions` lists the loaded versions. 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-fdv-hospitalisations/openapi.json ## Explore Charts and dashboards in the browser: https://publicdata.au/d/au-fdv-hospitalisations/explore/. A dashboard can be shared as a link or embedded. ## Fields | field | type | publisher's header | note | |---|---|---|---| | `year` | string | Year | The financial year, such as 2024–25. | | `age_group` | string | Age group | | | `sex` | string | Sex | | | `perpetrator_relationship` | string | Perpetrator's relationship to victim | | | `unit` | string | Unit | | | `value` | number | Value | | ## Versions - 2026-08-06: 256 rows, 6 fields, sha256 d822a928d03f. https://publicdata.au/d/au-fdv-hospitalisations/v/2026-08-06/ Machine-readable: https://publicdata.au/d/au-fdv-hospitalisations/versions.json, https://publicdata.au/d/au-fdv-hospitalisations/changes.json, https://publicdata.au/d/au-fdv-hospitalisations/datapackage.json, https://publicdata.au/d/au-fdv-hospitalisations/schema.json, https://publicdata.au/d/au-fdv-hospitalisations/history.tar.zst ## Same subject, other publishers - [Reported offences by month, Queensland, from July 1997](https://publicdata.au/d/qld-offences-monthly/) (Qld) - [Family and domestic abuse-related offences by postcode and quarter, South Australia](https://publicdata.au/d/sa-family-domestic-abuse-offences/) (SA) - [Recorded offences by region and month, Northern Territory](https://publicdata.au/d/nt-crime-statistics/) (NT) - [Offences reported to police by suburb and day, South Australia](https://publicdata.au/d/sa-crime-statistics/) (SA) ## Attribution and citation Based on Australian Institute of Health and Welfare material. Australian Institute of Health and Welfare, Australian Government, Family, domestic and sexual violence data tables, National Hospital Morbidity Database table NHMD 1, sourced 30 September 2026, https://www.aihw.gov.au/family-domestic-and-sexual-violence/resources/data-downloads, 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, Family, domestic and sexual violence data tables, National Hospital Morbidity Database table NHMD 1, sourced 30 September 2026, https://www.aihw.gov.au/family-domestic-and-sexual-violence/resources/data-downloads, licensed under CC BY 4.0. Serialised and versioned by National Digital at publicdata.au, https://publicdata.au/d/au-fdv-hospitalisations/v/2026-08-06/ Harvard: Australian Institute of Health and Welfare (2026) Family and domestic violence hospitalisations by relationship to perpetrator, Australia, version 2026-08-06 [data set], CC BY 4.0, sourced 30 September 2026. Serialised and versioned by National Digital at publicdata.au. Available at: https://publicdata.au/d/au-fdv-hospitalisations/v/2026-08-06/ Markdown: Data: [Family and domestic violence hospitalisations by relationship to perpetrator, Australia](https://www.aihw.gov.au/copyright), Australian Institute of Health and Welfare, [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/), sourced 30 September 2026. Files: [publicdata.au](https://publicdata.au/d/au-fdv-hospitalisations/v/2026-08-06/) by [National Digital](https://nationaldigital.com.au/). ## Questions ### How do I download Family and domestic violence hospitalisations by relationship to perpetrator as a CSV file? Open https://publicdata.au/d/au-fdv-hospitalisations/latest/data.csv. It redirects to the newest dated version, which is https://publicdata.au/d/au-fdv-hospitalisations/v/2026-08-06/data.csv today. The same path serves Excel, JSON, Parquet, SQLite, DuckDB, NDJSON, Arrow. A dated URL never changes, so use it when the file must stay the same. ### Can I open Family and domestic violence hospitalisations by relationship to perpetrator in Excel? Yes. https://publicdata.au/d/au-fdv-hospitalisations/v/2026-08-06/data.xlsx is a workbook with the 256 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-fdv-hospitalisations/v/2026-08-06/data.csv.gz is the CSV at about a tenth of the size. ### What years does Family and domestic violence hospitalisations by relationship to perpetrator cover? The current version covers the years since 2020. Each release from AIHW becomes a new dated version here, and earlier versions stay online. ### How often is Family and domestic violence hospitalisations by relationship to perpetrator updated? AIHW releases it yearly. This site checks the portal every week and adds a dated version when the file changes. ### Can I use Family and domestic violence hospitalisations by relationship to perpetrator 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 Family and domestic violence hospitalisations by relationship to perpetrator? No. The publisher is Australian Institute of Health and Welfare, and its page is https://www.aihw.gov.au/copyright. This site republishes the publisher's file without changing its content. The original sits beside every version as source.xlsx with its SHA-256, so the two can be compared. ### What is counted? Hospital admissions for assault injuries where the perpetrator was recorded as a spouse or domestic partner, a parent or another family member, by financial year from 2020-21, age group and sex, as the number of hospitalisations and the rate per 100,000 people, compiled by the Institute from the National Hospital Morbidity Database. The Institute writes n.p. where a figure is not published. ### Where is this table from? The Institute's Family, domestic and sexual violence data tables workbook, which gathers tables from several national collections. This dataset is one sheet of it. The data in this sheet is compiled by the Institute from a government source it names, and the ABS and AIC publish their own material under CC BY 4.0 as well. ### Why does the attribution say "based on" AIHW material? The Institute publishes its data tables under CC BY 4.0 and asks that material adapted from them, which republishing in other formats is, carry the words "Based on Australian Institute of Health and Welfare material". Every file here carries them. 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.xlsx`. ## Improve this dataset This page is built from [register/au-fdv-hospitalisations.yaml](https://github.com/National-Digital/publicdata.au/blob/main/register/au-fdv-hospitalisations.yaml) on GitHub, and a fix to it is welcome as a pull request. https://publicdata.au/contribute/ explains how.