---
title: Median weekly rents by postcode and dwelling type, Queensland
resource: https://publicdata.au/d/qld-median-rents-by-postcode/
publisher: Residential Tenancies Authority
licence: CC BY 3.0 AU
licence_url: https://creativecommons.org/licenses/by/3.0/au/
version: 2026-07-13
rows: 99470
fields: 5
source: https://www.rta.qld.gov.au/sites/default/files/2023-04/rta-bond-statistics.xlsx
source_sha256: 5c3af9c21bb93b8a34912d3548e95b0f7da747d94c9e4fc6a0175c969a2e968a
language: en-AU
operator: National Digital
not_endorsed: true
---

# Median weekly rents by postcode and dwelling type, Queensland

The median weekly rent of new tenancies in each Queensland postcode by dwelling type and number of bedrooms, each quarter since March 2012, from the Residential Tenancies Authority.

Published by Residential Tenancies Authority under CC BY 3.0 AU and republished here in other formats, with cells typed and suppressed values made null. Residential Tenancies Authority has not endorsed this site.

Also called: Queensland median rent by postcode, Queensland rental bond data by postcode, RTA median rents postcode, Brisbane rent by postcode.

## Download

Latest version, redirects to `https://publicdata.au/d/qld-median-rents-by-postcode/v/2026-07-13/`:

- csv: https://publicdata.au/d/qld-median-rents-by-postcode/latest/data.csv (3.1 MB)
- xlsx: https://publicdata.au/d/qld-median-rents-by-postcode/latest/data.xlsx (2.0 MB)
- json: https://publicdata.au/d/qld-median-rents-by-postcode/latest/data.json (10 MB)
- parquet: https://publicdata.au/d/qld-median-rents-by-postcode/latest/data.parquet (93 KB)
- sqlite: https://publicdata.au/d/qld-median-rents-by-postcode/latest/data.sqlite (5.8 MB)
- duckdb: https://publicdata.au/d/qld-median-rents-by-postcode/latest/data.duckdb (1.0 MB)
- ndjson: https://publicdata.au/d/qld-median-rents-by-postcode/latest/data.ndjson (10 MB)
- arrow: https://publicdata.au/d/qld-median-rents-by-postcode/latest/data.arrow (972 KB)
- csv.gz: https://publicdata.au/d/qld-median-rents-by-postcode/latest/data.csv.gz (366 KB)

Pinned version 2026-07-13: `https://publicdata.au/d/qld-median-rents-by-postcode/v/2026-07-13/data.<format>`. 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/qld-median-rents-by-postcode/rows. Counts and sums: https://publicdata.au/api/v1/datasets/qld-median-rents-by-postcode/aggregate.

- Rows: https://publicdata.au/api/v1/datasets/qld-median-rents-by-postcode/rows?year=eq.2026&dwelling=eq.House%203&limit=5
- Aggregate: https://publicdata.au/api/v1/datasets/qld-median-rents-by-postcode/aggregate?group=postcode&metric=max.median_weekly_rent&year=eq.2026&dwelling=eq.House%203

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/<date>/` before `rows` or `aggregate` for an answer that never changes. `/api/v1/datasets/<slug>/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/qld-median-rents-by-postcode/openapi.json

## Explore

Charts and dashboards in the browser: https://publicdata.au/d/qld-median-rents-by-postcode/explore/. A dashboard can be shared as a link or embedded.

## Smaller files

- by `dwelling`: https://publicdata.au/d/qld-median-rents-by-postcode/v/2026-07-13/by/dwelling/index.json lists 8 files

## Fields

| field | type | publisher's header | note |
|---|---|---|---|
| `postcode` | string | (row header 1) |  |
| `dwelling` | string | (row header 2) |  |
| `quarter_month` | string | (column header 1) | The month that ends the quarter, Mar, Jun, Sep or Dec. |
| `year` | integer | (column header 2) |  |
| `median_weekly_rent` | number | (cell) |  |

Key: `postcode, dwelling, year, quarter_month`.

## Versions

- 2026-07-13: 99470 rows, 5 fields, sha256 5c3af9c21bb9. https://publicdata.au/d/qld-median-rents-by-postcode/v/2026-07-13/

Machine-readable: https://publicdata.au/d/qld-median-rents-by-postcode/versions.json, https://publicdata.au/d/qld-median-rents-by-postcode/changes.json, https://publicdata.au/d/qld-median-rents-by-postcode/datapackage.json, https://publicdata.au/d/qld-median-rents-by-postcode/schema.json, https://publicdata.au/d/qld-median-rents-by-postcode/history.tar.zst

## Part of RTA bond statistics

- [Median weekly rents by suburb and dwelling type, Queensland](https://publicdata.au/d/qld-median-rents-by-suburb/)

## Same subject, other publishers

- [Median weekly rents and bonds lodged by postcode, South Australia](https://publicdata.au/d/sa-private-rents-by-postcode/) (SA)
- [Rental bonds closed, Tasmania, November 2016](https://publicdata.au/d/tas-rental-bonds-closed-2016-11/) (Tas)
- [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)
- [Rental bond refunds, New South Wales, 2024](https://publicdata.au/d/nsw-rental-bond-refunds-2024/) (NSW)
- [Rental bond lodgements, New South Wales, 2025](https://publicdata.au/d/nsw-rental-bond-lodgements-2025/) (NSW)
- [Rental bond refunds, New South Wales, 2023](https://publicdata.au/d/nsw-rental-bond-refunds-2023/) (NSW)
- [Rental bond refunds, New South Wales, 2025](https://publicdata.au/d/nsw-rental-bond-refunds-2025/) (NSW)
- [Rental bond refunds, New South Wales, 2022](https://publicdata.au/d/nsw-rental-bond-refunds-2022/) (NSW)

## Attribution and citation

© The State of Queensland Residential Tenancies Authority, Bond statistics data, Median rents by Postcode, sourced 3 October 2026, https://www.rta.qld.gov.au/sites/default/files/2023-04/rta-bond-statistics.xlsx, licensed under CC BY 3.0 AU.

The licence requires the publisher's attribution. We ask that you also name publicdata.au and link to the version you used.

Plain text: © The State of Queensland Residential Tenancies Authority, Bond statistics data, Median rents by Postcode, sourced 3 October 2026, https://www.rta.qld.gov.au/sites/default/files/2023-04/rta-bond-statistics.xlsx, licensed under CC BY 3.0 AU. Serialised and versioned by National Digital at publicdata.au, https://publicdata.au/d/qld-median-rents-by-postcode/v/2026-07-13/

Harvard: Residential Tenancies Authority (2026) Median weekly rents by postcode and dwelling type, Queensland, version 2026-07-13 [data set], CC BY 3.0 AU, sourced 3 October 2026. Serialised and versioned by National Digital at publicdata.au. Available at: https://publicdata.au/d/qld-median-rents-by-postcode/v/2026-07-13/

Markdown: Data: [RTA bond statistics](https://www.rta.qld.gov.au/copyright), Residential Tenancies Authority, [CC BY 3.0 AU](https://creativecommons.org/licenses/by/3.0/au/), sourced 3 October 2026. Files: [publicdata.au](https://publicdata.au/d/qld-median-rents-by-postcode/v/2026-07-13/) by [National Digital](https://nationaldigital.com.au/).

## Questions

### How do I download Median weekly rents by postcode and dwelling type as a CSV file?

Open https://publicdata.au/d/qld-median-rents-by-postcode/latest/data.csv. It redirects to the newest dated version, which is https://publicdata.au/d/qld-median-rents-by-postcode/v/2026-07-13/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 by postcode and dwelling type in Excel?

Yes. https://publicdata.au/d/qld-median-rents-by-postcode/v/2026-07-13/data.xlsx is a workbook with the 99,470 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/qld-median-rents-by-postcode/v/2026-07-13/data.csv.gz is the CSV at about a tenth of the size.

### What years does Median weekly rents by postcode and dwelling type cover?

The current version covers 2012 to 2025. Each release from RTA becomes a new dated version here, and earlier versions stay online.

### How often is Median weekly rents by postcode and dwelling type updated?

RTA 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 by postcode and dwelling type commercially?

Yes. CC BY 3.0 AU 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 by postcode and dwelling type?

No. The publisher is Residential Tenancies Authority, and its page is https://www.rta.qld.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.

### How do I get only the rows for one dwelling?

Every version has one JSON file per value of dwelling, 8 files in the current version, listed with row counts at https://publicdata.au/d/qld-median-rents-by-postcode/v/2026-07-13/by/dwelling/index.json. For example https://publicdata.au/d/qld-median-rents-by-postcode/v/2026-07-13/by/dwelling/house-3.json holds the 16,240 rows where dwelling is House 3.

### What is in each row?

The median weekly rent of the new tenancies that began in one Queensland postcode in one quarter for one dwelling type, such as a two bedroom flat or a three bedroom house, as the RTA works it out from the bonds lodged with it. The series runs from the March quarter 2012.

### Why are many medians blank?

The RTA leaves a cell empty where it gives no median for a postcode, dwelling type and quarter, which is usually because few bonds were lodged. A cell holding an empty string is a null value here, and a cell the workbook leaves wholly empty gives no row.

### How are the dates given?

As the month that ends the quarter and its year, in two columns, as the RTA's workbook heads them. A row for June 2026 covers tenancies that began from April to June 2026.

## 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/qld-median-rents-by-postcode.yaml](https://github.com/National-Digital/publicdata.au/blob/main/register/qld-median-rents-by-postcode.yaml) on GitHub, and a fix to it is welcome as a pull request. https://publicdata.au/contribute/ explains how.
