---
title: Average age of public housing dwellings by suburb and bedrooms, Western Australia
resource: https://publicdata.au/d/wa-public-housing-dwelling-age-by-suburb/
publisher: Department of Housing, Western Australia
licence: CC BY 3.0 AU
licence_url: https://creativecommons.org/licenses/by/3.0/au/
version: 2015-06-29
rows: 430
fields: 13
source: https://data.gov.au/data/dataset/30e20783-12ba-47bd-896d-69131943de75/resource/3c3a969d-9161-4397-93b4-75a04cee5c32/download/dwelling-suburb-age-by-bedroom.csv
source_sha256: 0e656ee541ee138403926955dd39c8bb7c15d44328aa18cbd7da00e71af36162
language: en-AU
operator: National Digital
not_endorsed: true
---

# Average age of public housing dwellings by suburb and bedrooms, Western Australia

The average age in years of public housing dwellings in each Western Australian suburb, by number of bedrooms and overall, as the Department of Housing published it in 2015.

Published by Department of Housing, Western Australia under CC BY 3.0 AU and republished here in other formats, with cells typed and suppressed values made null. Department of Housing, Western Australia has not endorsed this site.

Also called: WA Public Housing Dwelling Age by Suburb by Bedroom, Dwelling Suburb Age By Bedroom, Average age of public housing in WA suburbs.

## Download

Latest version, redirects to `https://publicdata.au/d/wa-public-housing-dwelling-age-by-suburb/v/2015-06-29/`:

- csv: https://publicdata.au/d/wa-public-housing-dwelling-age-by-suburb/latest/data.csv (18 KB)
- xlsx: https://publicdata.au/d/wa-public-housing-dwelling-age-by-suburb/latest/data.xlsx (25 KB)
- json: https://publicdata.au/d/wa-public-housing-dwelling-age-by-suburb/latest/data.json (98 KB)
- parquet: https://publicdata.au/d/wa-public-housing-dwelling-age-by-suburb/latest/data.parquet (20 KB)
- sqlite: https://publicdata.au/d/wa-public-housing-dwelling-age-by-suburb/latest/data.sqlite (61 KB)
- duckdb: https://publicdata.au/d/wa-public-housing-dwelling-age-by-suburb/latest/data.duckdb (200 KB)
- ndjson: https://publicdata.au/d/wa-public-housing-dwelling-age-by-suburb/latest/data.ndjson (96 KB)
- arrow: https://publicdata.au/d/wa-public-housing-dwelling-age-by-suburb/latest/data.arrow (18 KB)
- csv.gz: https://publicdata.au/d/wa-public-housing-dwelling-age-by-suburb/latest/data.csv.gz (7.9 KB)

Pinned version 2015-06-29: `https://publicdata.au/d/wa-public-housing-dwelling-age-by-suburb/v/2015-06-29/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/wa-public-housing-dwelling-age-by-suburb/rows. Counts and sums: https://publicdata.au/api/v1/datasets/wa-public-housing-dwelling-age-by-suburb/aggregate.

- Rows: https://publicdata.au/api/v1/datasets/wa-public-housing-dwelling-age-by-suburb/rows?limit=5
- Aggregate: https://publicdata.au/api/v1/datasets/wa-public-housing-dwelling-age-by-suburb/aggregate?group=suburb&metric=avg.total_average_age

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/wa-public-housing-dwelling-age-by-suburb/openapi.json

## Explore

Charts and dashboards in the browser: https://publicdata.au/d/wa-public-housing-dwelling-age-by-suburb/explore/. A dashboard can be shared as a link or embedded.

## Fields

| field | type | publisher's header | note |
|---|---|---|---|
| `suburb` | string | Suburb |  |
| `bed_0` | number | 0 bed |  |
| `bed_1` | number | 1 bed |  |
| `bed_2` | number | 2 bed |  |
| `bed_3` | number | 3 bed |  |
| `bed_4` | number | 4 bed |  |
| `bed_5` | number | 5 bed |  |
| `bed_6` | number | 6 bed |  |
| `bed_7` | number | 7 bed |  |
| `bed_8` | number | 8 bed |  |
| `bed_10` | number | 10 bed |  |
| `total_average_age` | number | Total Average Age |  |
| `total_average_age_rounded_to_year` | integer | Total Average Age rounded to year |  |

Key: `suburb`.

## Versions

- 2015-06-29: 430 rows, 13 fields, sha256 0e656ee541ee. https://publicdata.au/d/wa-public-housing-dwelling-age-by-suburb/v/2015-06-29/

Machine-readable: https://publicdata.au/d/wa-public-housing-dwelling-age-by-suburb/versions.json, https://publicdata.au/d/wa-public-housing-dwelling-age-by-suburb/changes.json, https://publicdata.au/d/wa-public-housing-dwelling-age-by-suburb/datapackage.json, https://publicdata.au/d/wa-public-housing-dwelling-age-by-suburb/schema.json, https://publicdata.au/d/wa-public-housing-dwelling-age-by-suburb/history.tar.zst

## Same subject, other publishers

- [Public housing dwellings, Queensland](https://publicdata.au/d/qld-public-housing-dwellings/) (Qld)
- [Social housing maintenance and modification spending, Queensland](https://publicdata.au/d/qld-social-housing-maintenance/) (Qld)
- [Public housing dwellings by council area, South Australia](https://publicdata.au/d/sa-public-housing-dwellings/) (SA)
- [Dwelling completions per 1,000 people, New South Wales](https://publicdata.au/d/nsw-dwelling-completions/) (NSW)
- [Social housing register, Queensland](https://publicdata.au/d/qld-social-housing-register/) (Qld)
- [Median house sale prices by suburb, metropolitan Adelaide](https://publicdata.au/d/sa-metro-median-house-prices/) (SA)
- [Public housing households by council area, South Australia](https://publicdata.au/d/sa-public-housing-households/) (SA)
- [New households housed in public housing by council area, South Australia](https://publicdata.au/d/sa-public-housing-new-households/) (SA)
- [Median weekly rents by suburb and dwelling type, Queensland](https://publicdata.au/d/qld-median-rents-by-suburb/) (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 property type, Victoria](https://publicdata.au/d/vic-rents-by-suburb/) (Vic)
- [Median house prices by suburb, Victoria](https://publicdata.au/d/vic-median-house-prices-by-suburb/) (Vic)

## Attribution and citation

Department of Housing (Western Australia), Government of Western Australia, WA Public Housing Dwelling Age by Suburb by Bedroom, https://data.gov.au/data/dataset/dwelling-suburb-age-by-bedroom, accessed 3 October 2026, 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: Department of Housing (Western Australia), Government of Western Australia, WA Public Housing Dwelling Age by Suburb by Bedroom, https://data.gov.au/data/dataset/dwelling-suburb-age-by-bedroom, accessed 3 October 2026, licensed under CC BY 3.0 AU. Serialised and versioned by National Digital at publicdata.au, https://publicdata.au/d/wa-public-housing-dwelling-age-by-suburb/v/2015-06-29/

Harvard: Department of Housing, Western Australia (2015) Average age of public housing dwellings by suburb and bedrooms, Western Australia, version 2015-06-29 [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/wa-public-housing-dwelling-age-by-suburb/v/2015-06-29/

Markdown: Data: [Average age of public housing dwellings by suburb and bedrooms, Western Australia](https://data.gov.au/data/dataset/dwelling-suburb-age-by-bedroom), Department of Housing, Western Australia, [CC BY 3.0 AU](https://creativecommons.org/licenses/by/3.0/au/), sourced 3 October 2026. Files: [publicdata.au](https://publicdata.au/d/wa-public-housing-dwelling-age-by-suburb/v/2015-06-29/) by [National Digital](https://nationaldigital.com.au/).

## Questions

### How do I download Average age of public housing dwellings by suburb and bedrooms as a CSV file?

Open https://publicdata.au/d/wa-public-housing-dwelling-age-by-suburb/latest/data.csv. It redirects to the newest dated version, which is https://publicdata.au/d/wa-public-housing-dwelling-age-by-suburb/v/2015-06-29/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 Average age of public housing dwellings by suburb and bedrooms in Excel?

Yes. https://publicdata.au/d/wa-public-housing-dwelling-age-by-suburb/v/2015-06-29/data.xlsx is a workbook with the 430 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/wa-public-housing-dwelling-age-by-suburb/v/2015-06-29/data.csv.gz is the CSV at about a tenth of the size.

### How often is Average age of public housing dwellings by suburb and bedrooms updated?

Department of Housing WA no longer updates it. This site checks the portal every week and adds a dated version when the file changes.

### Can I use Average age of public housing dwellings by suburb and bedrooms 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 Average age of public housing dwellings by suburb and bedrooms?

No. The publisher is Department of Housing, Western Australia, and its page is https://data.gov.au/data/dataset/dwelling-suburb-age-by-bedroom. This site republishes the publisher's file without changing its content. The original sits beside every version as source.csv with its SHA-256, so the two can be compared.

### What is in each row?

One Western Australian suburb or town, with the average age in years of the public housing dwellings there that have no separate bedroom, one bedroom, and so on up to ten bedrooms, and the average age across all of them, also given rounded to a whole year.

### Why are many cells blank?

A blank cell means the suburb had no public housing dwelling with that number of bedrooms. There is no column for nine bedrooms in the publisher's file.

### When is it from?

The Department of Housing published the file in June 2015 and has not updated it. The ages are as the department calculated them then.

## 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.csv`.

## Improve this dataset

This page is built from [register/wa-public-housing-dwelling-age-by-suburb.yaml](https://github.com/National-Digital/publicdata.au/blob/main/register/wa-public-housing-dwelling-age-by-suburb.yaml) on GitHub, and a fix to it is welcome as a pull request. https://publicdata.au/contribute/ explains how.
