--- title: Median weekly rents and bonds lodged by suburb, South Australia resource: https://publicdata.au/d/sa-private-rents-by-suburb/ publisher: South Australian Housing Trust licence: CC BY 4.0 licence_url: https://creativecommons.org/licenses/by/4.0/ version: 2026-08-11 rows: 5787 fields: 5 source: https://data.sa.gov.au/data/dataset/8eb97a72-9919-448b-8de6-fc1530b3f7ec/resource/b4aa86f1-7efa-4690-9793-bd36df97ad29/download/private-rental-report-2026-06.xlsx source_sha256: 9ed02e20fe38a40827246501f3ee9a26111d8a8cf32b90b2b8ec15e8c7d9a20e language: en-AU operator: National Digital not_endorsed: true --- # Median weekly rents and bonds lodged by suburb, South Australia The number of new rental bonds and the median weekly rent in each South Australian suburb for the newest quarter, by dwelling type and number of bedrooms. Updated quarterly. Published by South Australian Housing Trust under CC BY 4.0 and republished here in other formats, with cells typed and suppressed values made null. South Australian Housing Trust has not endorsed this site. Also called: SA Private Rent Report by suburb, Adelaide rental prices by suburb, South Australian median weekly rent by suburb. ## Download Latest version, redirects to `https://publicdata.au/d/sa-private-rents-by-suburb/v/2026-08-11/`: - csv: https://publicdata.au/d/sa-private-rents-by-suburb/latest/data.csv (274 KB) - xlsx: https://publicdata.au/d/sa-private-rents-by-suburb/latest/data.xlsx (119 KB) - json: https://publicdata.au/d/sa-private-rents-by-suburb/latest/data.json (836 KB) - parquet: https://publicdata.au/d/sa-private-rents-by-suburb/latest/data.parquet (18 KB) - sqlite: https://publicdata.au/d/sa-private-rents-by-suburb/latest/data.sqlite (532 KB) - duckdb: https://publicdata.au/d/sa-private-rents-by-suburb/latest/data.duckdb (200 KB) - ndjson: https://publicdata.au/d/sa-private-rents-by-suburb/latest/data.ndjson (830 KB) - arrow: https://publicdata.au/d/sa-private-rents-by-suburb/latest/data.arrow (69 KB) - csv.gz: https://publicdata.au/d/sa-private-rents-by-suburb/latest/data.csv.gz (28 KB) Pinned version 2026-08-11: `https://publicdata.au/d/sa-private-rents-by-suburb/v/2026-08-11/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/sa-private-rents-by-suburb/rows. Counts and sums: https://publicdata.au/api/v1/datasets/sa-private-rents-by-suburb/aggregate. - Rows: https://publicdata.au/api/v1/datasets/sa-private-rents-by-suburb/rows?dwelling_type=eq.Houses&bedrooms=eq.3%20bedrooms&limit=5 - Aggregate: https://publicdata.au/api/v1/datasets/sa-private-rents-by-suburb/aggregate?group=suburb&metric=avg.median_weekly_rent&dwelling_type=eq.Houses&bedrooms=eq.3%20bedrooms 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/sa-private-rents-by-suburb/openapi.json ## Explore Charts and dashboards in the browser: https://publicdata.au/d/sa-private-rents-by-suburb/explore/. A dashboard can be shared as a link or embedded. ## Smaller files - by `dwelling_type`: https://publicdata.au/d/sa-private-rents-by-suburb/v/2026-08-11/by/dwelling_type/index.json lists 3 files ## Fields | field | type | publisher's header | note | |---|---|---|---| | `suburb` | string | (row header 1) | | | `dwelling_type` | string | (column header 1) | | | `bedrooms` | string | (column header 2) | | | `bonds_lodged` | integer | (cell: Count) | | | `median_weekly_rent` | number | (cell: Median) | | Key: `suburb, dwelling_type, bedrooms`. ## Versions - 2026-08-11: 5787 rows, 5 fields, sha256 9ed02e20fe38. https://publicdata.au/d/sa-private-rents-by-suburb/v/2026-08-11/ Machine-readable: https://publicdata.au/d/sa-private-rents-by-suburb/versions.json, https://publicdata.au/d/sa-private-rents-by-suburb/changes.json, https://publicdata.au/d/sa-private-rents-by-suburb/datapackage.json, https://publicdata.au/d/sa-private-rents-by-suburb/schema.json, https://publicdata.au/d/sa-private-rents-by-suburb/history.tar.zst ## Part of Private rent report, South Australia - [Median weekly rents and bonds lodged by postcode, South Australia](https://publicdata.au/d/sa-private-rents-by-postcode/) ## Same subject, other publishers - [Median house sale prices by suburb, metropolitan Adelaide](https://publicdata.au/d/sa-metro-median-house-prices/) (SA) - [Median weekly rents by suburb and property type, Victoria](https://publicdata.au/d/vic-rents-by-suburb/) (Vic) - [Median weekly rents by suburb and dwelling type, Queensland](https://publicdata.au/d/qld-median-rents-by-suburb/) (Qld) - [Rental bonds lodged, Tasmania, November 2016](https://publicdata.au/d/tas-rental-bonds-lodged-2016-11/) (Tas) - [Median house prices by suburb, Victoria](https://publicdata.au/d/vic-median-house-prices-by-suburb/) (Vic) - [Median unit prices by suburb, Victoria](https://publicdata.au/d/vic-median-unit-prices-by-suburb/) (Vic) - [Median vacant land prices by suburb, Victoria](https://publicdata.au/d/vic-median-vacant-land-prices-by-suburb/) (Vic) - [Rental bond lodgements, New South Wales, 2021](https://publicdata.au/d/nsw-rental-bond-lodgements-2021/) (NSW) - [Rental bond lodgements, New South Wales, 2022](https://publicdata.au/d/nsw-rental-bond-lodgements-2022/) (NSW) - [Rental bond refunds, New South Wales, 2021](https://publicdata.au/d/nsw-rental-bond-refunds-2021/) (NSW) - [Rental bond lodgements, New South Wales, 2024](https://publicdata.au/d/nsw-rental-bond-lodgements-2024/) (NSW) - [Rental bond lodgements, New South Wales, 2023](https://publicdata.au/d/nsw-rental-bond-lodgements-2023/) (NSW) ## Attribution and citation South Australian Housing Trust, Government of South Australia, Private Rent Report, https://data.sa.gov.au/data/dataset/private-rent-report, accessed 3 October 2026, 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: South Australian Housing Trust, Government of South Australia, Private Rent Report, https://data.sa.gov.au/data/dataset/private-rent-report, accessed 3 October 2026, licensed under CC BY 4.0. Serialised and versioned by National Digital at publicdata.au, https://publicdata.au/d/sa-private-rents-by-suburb/v/2026-08-11/ Harvard: South Australian Housing Trust (2026) Median weekly rents and bonds lodged by suburb, South Australia, version 2026-08-11 [data set], CC BY 4.0, sourced 3 October 2026. Serialised and versioned by National Digital at publicdata.au. Available at: https://publicdata.au/d/sa-private-rents-by-suburb/v/2026-08-11/ Markdown: Data: [Private rent report, South Australia](https://data.sa.gov.au/data/dataset/private-rent-report), South Australian Housing Trust, [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/), sourced 3 October 2026. Files: [publicdata.au](https://publicdata.au/d/sa-private-rents-by-suburb/v/2026-08-11/) by [National Digital](https://nationaldigital.com.au/). ## Questions ### How do I download Median weekly rents and bonds lodged by suburb as a CSV file? Open https://publicdata.au/d/sa-private-rents-by-suburb/latest/data.csv. It redirects to the newest dated version, which is https://publicdata.au/d/sa-private-rents-by-suburb/v/2026-08-11/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 Median weekly rents and bonds lodged by suburb in Excel? Yes. https://publicdata.au/d/sa-private-rents-by-suburb/v/2026-08-11/data.xlsx is a workbook with the 5,787 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/sa-private-rents-by-suburb/v/2026-08-11/data.csv.gz is the CSV at about a tenth of the size. ### How often is Median weekly rents and bonds lodged by suburb updated? SA Housing Trust releases it quarterly. This site checks the portal every week and adds a dated version when the file changes. ### Can I use Median weekly rents and bonds lodged by suburb 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 Median weekly rents and bonds lodged by suburb? No. The publisher is South Australian Housing Trust, and its page is https://data.sa.gov.au/data/dataset/private-rent-report. 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. ### How do I get only the rows for one dwelling type? Every version has one JSON file per value of dwelling_type, 3 files in the current version, listed with row counts at https://publicdata.au/d/sa-private-rents-by-suburb/v/2026-08-11/by/dwelling_type/index.json. For example https://publicdata.au/d/sa-private-rents-by-suburb/v/2026-08-11/by/dwelling_type/flats-units.json holds the 2,572 rows where dwelling_type is Flats/Units. ### What is in each row? One suburb, dwelling type and number of bedrooms, with the number of rental bonds lodged in the quarter and the median weekly rent of those bonds. Dwelling types are flats and units, houses, and other or unknown. Flats and houses run from 1 to 4 or more bedrooms, and other or unknown dwellings have no bedroom count. ### What does a star mean? The publisher writes a star in place of the number of bonds where there are 1 to 5 dwellings. That count is a null here, flagged as suppressed, and the median beside it is kept. ### Which quarter does the table cover? The newest quarterly report, April to June 2026 at the first version. The publisher adds a report each quarter, and each becomes a version here. The reports back to 2013 stay on the portal. ### What are the Total rows? The publisher's Metro Total, Country Total and Grand Total rows are kept as published, in the suburb column. The publisher's total columns across dwelling types are left out, since they sum the other columns. ## 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/sa-private-rents-by-suburb.yaml](https://github.com/National-Digital/publicdata.au/blob/main/register/sa-private-rents-by-suburb.yaml) on GitHub, and a fix to it is welcome as a pull request. https://publicdata.au/contribute/ explains how.