---
title: Rental bond refunds, New South Wales, 2025
resource: https://publicdata.au/d/nsw-rental-bond-refunds-2025/
publisher: NSW Fair Trading
licence: CC BY 4.0
licence_url: https://creativecommons.org/licenses/by/4.0/
version: 2026-01-13
rows: 311060
fields: 7
source: https://www.nsw.gov.au/sites/default/files/noindex/2026-01/rentalbond_refunds_year_2025.xlsx
source_sha256: 5f7d721a52ff3bb75ba0575785175955adf4b4784a4e735c3c144750e442c0ff
language: en-AU
operator: National Digital
not_endorsed: true
---

# Rental bond refunds, New South Wales, 2025

Every residential rental bond refunded by NSW Fair Trading in 2025, one row per bond, with the postcode, dwelling type, bedrooms, amounts paid to agent and tenant and days held.

Published by NSW Fair Trading under CC BY 4.0 and republished here in other formats, with cells typed and suppressed values made null. NSW Fair Trading has not endorsed this site.

Also called: NSW rental bond refund data 2025, Rental bond refunds by postcode NSW 2025, Fair Trading rental bond refunds year 2025.

## Download

Latest version, redirects to `https://publicdata.au/d/nsw-rental-bond-refunds-2025/v/2026-01-13/`:

- csv: https://publicdata.au/d/nsw-rental-bond-refunds-2025/latest/data.csv (11 MB)
- xlsx: https://publicdata.au/d/nsw-rental-bond-refunds-2025/latest/data.xlsx (9.7 MB)
- json: https://publicdata.au/d/nsw-rental-bond-refunds-2025/latest/data.json (48 MB)
- parquet: https://publicdata.au/d/nsw-rental-bond-refunds-2025/latest/data.parquet (1.6 MB)
- sqlite: https://publicdata.au/d/nsw-rental-bond-refunds-2025/latest/data.sqlite (11 MB)
- duckdb: https://publicdata.au/d/nsw-rental-bond-refunds-2025/latest/data.duckdb (9.0 MB)
- ndjson: https://publicdata.au/d/nsw-rental-bond-refunds-2025/latest/data.ndjson (48 MB)
- arrow: https://publicdata.au/d/nsw-rental-bond-refunds-2025/latest/data.arrow (3.6 MB)
- csv.gz: https://publicdata.au/d/nsw-rental-bond-refunds-2025/latest/data.csv.gz (2.5 MB)

Pinned version 2026-01-13: `https://publicdata.au/d/nsw-rental-bond-refunds-2025/v/2026-01-13/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/nsw-rental-bond-refunds-2025/rows. Counts and sums: https://publicdata.au/api/v1/datasets/nsw-rental-bond-refunds-2025/aggregate.

- Rows: https://publicdata.au/api/v1/datasets/nsw-rental-bond-refunds-2025/rows?bedrooms=lte.5&limit=5
- Aggregate: https://publicdata.au/api/v1/datasets/nsw-rental-bond-refunds-2025/aggregate?group=bedrooms&metric=avg.days_bond_held&bedrooms=lte.5

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/nsw-rental-bond-refunds-2025/openapi.json

## Explore

Charts and dashboards in the browser: https://publicdata.au/d/nsw-rental-bond-refunds-2025/explore/. A dashboard can be shared as a link or embedded.

## Fields

| field | type | publisher's header | note |
|---|---|---|---|
| `payment_date` | date | Payment Date |  |
| `postcode` | string | Postcode |  |
| `dwelling_type` | string | Dwelling Type |  |
| `bedrooms` | integer | Bedrooms |  |
| `payment_to_agent` | number | Payment To Agent |  |
| `payment_to_tenant` | number | Payment To Tenant |  |
| `days_bond_held` | integer | Days Bond Held |  |

## Versions

- 2026-01-13: 311060 rows, 7 fields, sha256 5f7d721a52ff. https://publicdata.au/d/nsw-rental-bond-refunds-2025/v/2026-01-13/

Machine-readable: https://publicdata.au/d/nsw-rental-bond-refunds-2025/versions.json, https://publicdata.au/d/nsw-rental-bond-refunds-2025/changes.json, https://publicdata.au/d/nsw-rental-bond-refunds-2025/datapackage.json, https://publicdata.au/d/nsw-rental-bond-refunds-2025/schema.json, https://publicdata.au/d/nsw-rental-bond-refunds-2025/history.tar.zst

## Part of Rental bond data, NSW Fair Trading

- [Rental bond lodgements, New South Wales, 2021](https://publicdata.au/d/nsw-rental-bond-lodgements-2021/)
- [Rental bond lodgements, New South Wales, 2022](https://publicdata.au/d/nsw-rental-bond-lodgements-2022/)
- [Rental bond lodgements, New South Wales, 2023](https://publicdata.au/d/nsw-rental-bond-lodgements-2023/)
- [Rental bond lodgements, New South Wales, 2024](https://publicdata.au/d/nsw-rental-bond-lodgements-2024/)
- [Rental bond lodgements, New South Wales, 2025](https://publicdata.au/d/nsw-rental-bond-lodgements-2025/)
- [Rental bond refunds, New South Wales, 2021](https://publicdata.au/d/nsw-rental-bond-refunds-2021/)
- [Rental bond refunds, New South Wales, 2022](https://publicdata.au/d/nsw-rental-bond-refunds-2022/)
- [Rental bond refunds, New South Wales, 2023](https://publicdata.au/d/nsw-rental-bond-refunds-2023/)
- [Rental bond refunds, New South Wales, 2024](https://publicdata.au/d/nsw-rental-bond-refunds-2024/)

## 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)
- [Median weekly rents by postcode and dwelling type, Queensland](https://publicdata.au/d/qld-median-rents-by-postcode/) (Qld)
- [Median weekly rents and bonds lodged by suburb, South Australia](https://publicdata.au/d/sa-private-rents-by-suburb/) (SA)
- [Median weekly rents by suburb and dwelling type, Queensland](https://publicdata.au/d/qld-median-rents-by-suburb/) (Qld)
- [Public housing dwellings, Queensland](https://publicdata.au/d/qld-public-housing-dwellings/) (Qld)
- [Rental bonds lodged, Tasmania, November 2016](https://publicdata.au/d/tas-rental-bonds-lodged-2016-11/) (Tas)
- [Median weekly rents by suburb and property type, Victoria](https://publicdata.au/d/vic-rents-by-suburb/) (Vic)
- [Dwelling completions per 1,000 people, New South Wales](https://publicdata.au/d/nsw-dwelling-completions/) (NSW)
- [Median house sale prices by suburb, metropolitan Adelaide](https://publicdata.au/d/sa-metro-median-house-prices/) (SA)
- [Land transfer duty by postcode, Victoria, 2021-22](https://publicdata.au/d/vic-land-transfer-duty-by-postcode/) (Vic)

## Attribution and citation

NSW Fair Trading, NSW Government, Rental bond data, Residential Rental Bond Refunds Year 2025, sourced 3 October 2026, https://www.nsw.gov.au/housing-and-construction/rental-forms-surveys-and-data/rental-bond-data, 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: NSW Fair Trading, NSW Government, Rental bond data, Residential Rental Bond Refunds Year 2025, sourced 3 October 2026, https://www.nsw.gov.au/housing-and-construction/rental-forms-surveys-and-data/rental-bond-data, licensed under CC BY 4.0. Serialised and versioned by National Digital at publicdata.au, https://publicdata.au/d/nsw-rental-bond-refunds-2025/v/2026-01-13/

Harvard: NSW Fair Trading (2026) Rental bond refunds, New South Wales, 2025, version 2026-01-13 [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/nsw-rental-bond-refunds-2025/v/2026-01-13/

Markdown: Data: [Rental bond data, NSW Fair Trading](https://www.nsw.gov.au/nsw-government/copyright), NSW Fair Trading, [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/), sourced 3 October 2026. Files: [publicdata.au](https://publicdata.au/d/nsw-rental-bond-refunds-2025/v/2026-01-13/) by [National Digital](https://nationaldigital.com.au/).

## Questions

### How do I download Rental bond refunds, New South Wales as a CSV file?

Open https://publicdata.au/d/nsw-rental-bond-refunds-2025/latest/data.csv. It redirects to the newest dated version, which is https://publicdata.au/d/nsw-rental-bond-refunds-2025/v/2026-01-13/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 Rental bond refunds, New South Wales in Excel?

Yes. https://publicdata.au/d/nsw-rental-bond-refunds-2025/v/2026-01-13/data.xlsx is a workbook with the 311,060 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/nsw-rental-bond-refunds-2025/v/2026-01-13/data.csv.gz is the CSV at about a tenth of the size.

### What years does Rental bond refunds, New South Wales cover?

The current version covers the years since 2025. Each release from Fair Trading becomes a new dated version here, and earlier versions stay online.

### How often is Rental bond refunds, New South Wales updated?

Fair Trading no longer updates it. This site checks the portal every week and adds a dated version when the file changes.

### Can I use Rental bond refunds, New South Wales 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 Rental bond refunds, New South Wales?

No. The publisher is NSW Fair Trading, and its page is https://www.nsw.gov.au/nsw-government/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 in each row?

One residential rental bond refunded by NSW Fair Trading in 2025, with the payment date, the postcode of the rented premises, the dwelling type, the number of bedrooms, the amounts paid to the agent and to the tenant, and the number of days the bond was held.

### What do the dwelling type codes mean?

Fair Trading defines F as a flat or unit, H as a house, T as a terrace, townhouse or semi-detached, O as other and U as unknown. Thirteen rows carry other codes, such as 1, G and P, which the definitions sheet in the source file does not define.

### What does a null bedroom count mean?

Fair Trading writes U where the bedroom count was not given. It is a null value here.

## 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/nsw-rental-bond-refunds-2025.yaml](https://github.com/National-Digital/publicdata.au/blob/main/register/nsw-rental-bond-refunds-2025.yaml) on GitHub, and a fix to it is welcome as a pull request. https://publicdata.au/contribute/ explains how.
