---
title: Rental bond lodgements, New South Wales, 2022
resource: https://publicdata.au/d/nsw-rental-bond-lodgements-2022/
publisher: NSW Fair Trading
licence: CC BY 4.0
licence_url: https://creativecommons.org/licenses/by/4.0/
version: 2023-11-28
rows: 330396
fields: 5
source: https://www.nsw.gov.au/sites/default/files/noindex/2023-11/RentalBond_Lodgements_Year_2022.xlsx
source_sha256: ffce3ada75aa77e43af1c14ee05a69488b9c11fa9e1f12bb2d6248b321fbc438
language: en-AU
operator: National Digital
not_endorsed: true
---

# Rental bond lodgements, New South Wales, 2022

Every residential rental bond lodged with NSW Fair Trading in 2022, one row per bond, with the postcode, dwelling type, bedrooms and weekly rent.

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 lodgement data 2022, Weekly rents of new leases by postcode NSW 2022, Fair Trading rental bond lodgements year 2022.

## Download

Latest version, redirects to `https://publicdata.au/d/nsw-rental-bond-lodgements-2022/v/2023-11-28/`:

- csv: https://publicdata.au/d/nsw-rental-bond-lodgements-2022/latest/data.csv (9.2 MB)
- xlsx: https://publicdata.au/d/nsw-rental-bond-lodgements-2022/latest/data.xlsx (7.1 MB)
- json: https://publicdata.au/d/nsw-rental-bond-lodgements-2022/latest/data.json (34 MB)
- parquet: https://publicdata.au/d/nsw-rental-bond-lodgements-2022/latest/data.parquet (775 KB)
- sqlite: https://publicdata.au/d/nsw-rental-bond-lodgements-2022/latest/data.sqlite (9.9 MB)
- duckdb: https://publicdata.au/d/nsw-rental-bond-lodgements-2022/latest/data.duckdb (5.0 MB)
- ndjson: https://publicdata.au/d/nsw-rental-bond-lodgements-2022/latest/data.ndjson (34 MB)
- arrow: https://publicdata.au/d/nsw-rental-bond-lodgements-2022/latest/data.arrow (2.8 MB)
- csv.gz: https://publicdata.au/d/nsw-rental-bond-lodgements-2022/latest/data.csv.gz (1.3 MB)

Pinned version 2023-11-28: `https://publicdata.au/d/nsw-rental-bond-lodgements-2022/v/2023-11-28/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-lodgements-2022/rows. Counts and sums: https://publicdata.au/api/v1/datasets/nsw-rental-bond-lodgements-2022/aggregate.

- Rows: https://publicdata.au/api/v1/datasets/nsw-rental-bond-lodgements-2022/rows?bedrooms=lte.5&limit=5
- Aggregate: https://publicdata.au/api/v1/datasets/nsw-rental-bond-lodgements-2022/aggregate?group=bedrooms&metric=avg.weekly_rent&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-lodgements-2022/openapi.json

## Explore

Charts and dashboards in the browser: https://publicdata.au/d/nsw-rental-bond-lodgements-2022/explore/. A dashboard can be shared as a link or embedded.

## Fields

| field | type | publisher's header | note |
|---|---|---|---|
| `lodgement_date` | date | Lodgement Date |  |
| `postcode` | string | Postcode |  |
| `dwelling_type` | string | Dwelling Type |  |
| `bedrooms` | integer | Bedrooms |  |
| `weekly_rent` | number | Weekly Rent |  |

## Versions

- 2023-11-28: 330396 rows, 5 fields, sha256 ffce3ada75aa. https://publicdata.au/d/nsw-rental-bond-lodgements-2022/v/2023-11-28/

Machine-readable: https://publicdata.au/d/nsw-rental-bond-lodgements-2022/versions.json, https://publicdata.au/d/nsw-rental-bond-lodgements-2022/changes.json, https://publicdata.au/d/nsw-rental-bond-lodgements-2022/datapackage.json, https://publicdata.au/d/nsw-rental-bond-lodgements-2022/schema.json, https://publicdata.au/d/nsw-rental-bond-lodgements-2022/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, 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/)
- [Rental bond refunds, New South Wales, 2025](https://publicdata.au/d/nsw-rental-bond-refunds-2025/)

## Same subject, other publishers

- [Median weekly rents and bonds lodged by postcode, South Australia](https://publicdata.au/d/sa-private-rents-by-postcode/) (SA)
- [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)
- [Rental bonds closed, Tasmania, November 2016](https://publicdata.au/d/tas-rental-bonds-closed-2016-11/) (Tas)
- [Rental bonds lodged, Tasmania, November 2016](https://publicdata.au/d/tas-rental-bonds-lodged-2016-11/) (Tas)
- [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)
- [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 Lodgements Year 2022, 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 Lodgements Year 2022, 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-lodgements-2022/v/2023-11-28/

Harvard: NSW Fair Trading (2023) Rental bond lodgements, New South Wales, 2022, version 2023-11-28 [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-lodgements-2022/v/2023-11-28/

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-lodgements-2022/v/2023-11-28/) by [National Digital](https://nationaldigital.com.au/).

## Questions

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

Open https://publicdata.au/d/nsw-rental-bond-lodgements-2022/latest/data.csv. It redirects to the newest dated version, which is https://publicdata.au/d/nsw-rental-bond-lodgements-2022/v/2023-11-28/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 lodgements, New South Wales in Excel?

Yes. https://publicdata.au/d/nsw-rental-bond-lodgements-2022/v/2023-11-28/data.xlsx is a workbook with the 330,396 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-lodgements-2022/v/2023-11-28/data.csv.gz is the CSV at about a tenth of the size.

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

The current version covers the years since 2022. Each release from Fair Trading becomes a new dated version here, and earlier versions stay online.

### How often is Rental bond lodgements, 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 lodgements, 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 lodgements, 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 lodged with NSW Fair Trading in 2022, with the lodgement date, the postcode of the rented premises, the dwelling type, the number of bedrooms and the weekly rent.

### 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. Other can include rented rooms, garages and car spaces. Every row in this year's file carries one of these five codes.

### What does a null bedroom count or rent mean?

Fair Trading writes U where the agent or landlord did not give the figure. It is a null value here. A bedroom count of 0 can be a studio or bedsitter, or premises such as a garage.

## 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-lodgements-2022.yaml](https://github.com/National-Digital/publicdata.au/blob/main/register/nsw-rental-bond-lodgements-2022.yaml) on GitHub, and a fix to it is welcome as a pull request. https://publicdata.au/contribute/ explains how.
