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Microburbs Property Data API

LGA - Market

Leased rents by bedroom, Victorian councils

GET/v1/lga/{lga_name}/market/leased-rents-vic10¢ per call

Median weekly rent on new Victorian tenancies, and the number of new bonds, each quarter since 1999 by dwelling type and bedrooms (flats and houses), for every Victorian council area.

Coverage: All 79 Victorian council areas with at least 5 new bonds in the quarter and group; June quarter 1999 onwards. Current to 2026-06-30. Full description, field list and method: /v1/datasets/leased-rents-vic.

Authorization

Bearer tokentest

Sandbox key test works for the allowlisted GNAF + SAL — no signup.

Request

The only values you send. Fields under Responses below are what comes back — you never pass those.

Path parameters

lga_namestringrequired

Council (LGA) name exactly as /v1/lga/list returns it, e.g. `Lake Macquarie`.

Query parameters

fieldsstringoptional

Comma-separated subset of: rent_all, rent_flat_1bed, rent_flat_2bed, rent_flat_3bed, rent_house_2bed, rent_house_3bed, rent_house_4bed, bonds_all, bonds_flat_1bed, bonds_flat_2bed, bonds_flat_3bed, bonds_house_2bed, bonds_house_3bed, bonds_house_4bed. Omit for all.

fromstringoptional

First period to include: 2020, 2020-Q3, 2020-07 or 2020-07-01.

tostringoptional

Last period to include, same formats as `from`.

Responses

Successful Response

application/json

DatasetValuesfields returned to you

datasetstringalways returned

Dataset slug; describe it with /v1/datasets/{slug}.

levelstringalways returned

suburb, lga or block.

areastringalways returned

Canonical name (or mesh-block code) of the area answered.

period_typestringalways returned

snapshot, year, financial_year, quarter or month.

as_ofstring · datealways returned

Date the dataset is current to. Values are never withheld for age; check this instead.

modelledbooleanalways returned

True when the figures are estimates from a model rather than counts or measurements.

fieldsarray of DatasetFieldSeriesalways returned

GET/v1/lga/{lga_name}/market/leased-rents-vic

cURL

curl --request GET \
  --url 'https://api.microburbs.com.au/v1/lga/Lake%20Macquarie/market/leased-rents-vic' \
  --header 'Authorization: Bearer test'

Example Responses

Show schema

{
  "data": {
    "dataset": "leased-rents-vic",
    "level": "lga",
    "area": "Port Phillip",
    "period_type": "quarter",
    "as_of": "2026-06-30",
    "modelled": false,
    "fields": [
      {
        "field": "rent_all",
        "name": "Median weekly rent, all dwellings",
        "unit": "$/week",
        "values": [
          {
            "period": "2025-Q4",
            "period_start": "2025-10-01",
            "value": 635
          },
          {
            "period": "2026-Q1",
            "period_start": "2026-01-01",
            "value": 650
          },
          {
            "period": "2026-Q2",
            "period_start": "2026-04-01",
            "value": 650
          }
        ]
      },
      {
        "field": "rent_flat_1bed",
        "name": "Median weekly rent, 1-bedroom flats",
        "unit": "$/week",
        "values": [
          {
            "period": "2025-Q4",
            "period_start": "2025-10-01",
            "value": 500
          },
          {
            "period": "2026-Q1",
            "period_start": "2026-01-01",
            "value": 530
          },
          {
            "period": "2026-Q2",
            "period_start": "2026-04-01",
            "value": 500
          }
        ]
      },
      {
        "field": "rent_flat_2bed",
        "name": "Median weekly rent, 2-bedroom flats",
        "unit": "$/week",
        "values": [
          {
            "period": "2025-Q4",
            "period_start": "2025-10-01",
            "value": 678
          },
          {
            "period": "2026-Q1",
            "period_start": "2026-01-01",
            "value": 690
          },
          {
            "period": "2026-Q2",
            "period_start": "2026-04-01",
            "value": 680
          }
        ]
      }
    ]
  }
}

Successful Response200

application/json

About this dataset

All 79 Victorian council areas with at least 5 new bonds in the quarter and group; June quarter 1999 onwards. Current to 2026-06-30; refreshed quarterly.

What it is

What new tenants in Victoria actually pay, by council area and quarter, back to 1999. Flats (1 to 3 bedrooms) and houses (2 to 4 bedrooms), plus all dwellings, each with the median weekly rent and the number of new bonds.

What it shows

Per council area and quarter from the June quarter 1999: the median weekly rent in dollars and the count of new rental bonds, for seven groups (all dwellings; flats with 1, 2 or 3 bedrooms; houses with 2, 3 or 4). Cells with fewer than 5 bonds are not published.

Why use it

A 27-year quarterly series of signed rents by bedroom, usable for long-run rent growth, cycle timing, real-rent comparisons and yield history at council level. It adds the lodged-bond view to our advertised-rent series: use it when you need what tenants really signed, or the history before our own listing records begin.

How it is built

From the state housing department's quarterly rental report, itself compiled from every residential rental bond lodged with the state's bond authority. Each figure is the median weekly rent on new lettings in that quarter. We keep each council area's figures as published and match its name to ours; the state-wide and metro/non-metro summary rows are not area data and are left out. Council-level cells are suppressed by the source where fewer than 5 bonds sit behind them. Townhouses and other types appear only inside 'all dwellings'. Council areas that straddle several rental markets are one row here, so a council median hides differences between its suburbs. The latest quarter is the most recent release.

Fields

Field	Unit	Description
`rent_all` Median weekly rent, all dwellings	$/week	Median weekly rent on new tenancies of all dwellings that started in the quarter, from lodged rental bonds.
`rent_flat_1bed` Median weekly rent, 1-bedroom flats	$/week	Median weekly rent on new tenancies of 1-bedroom flats that started in the quarter, from lodged rental bonds.
`rent_flat_2bed` Median weekly rent, 2-bedroom flats	$/week	Median weekly rent on new tenancies of 2-bedroom flats that started in the quarter, from lodged rental bonds.
`rent_flat_3bed` Median weekly rent, 3-bedroom flats	$/week	Median weekly rent on new tenancies of 3-bedroom flats that started in the quarter, from lodged rental bonds.
`rent_house_2bed` Median weekly rent, 2-bedroom houses	$/week	Median weekly rent on new tenancies of 2-bedroom houses that started in the quarter, from lodged rental bonds.
`rent_house_3bed` Median weekly rent, 3-bedroom houses	$/week	Median weekly rent on new tenancies of 3-bedroom houses that started in the quarter, from lodged rental bonds.
`rent_house_4bed` Median weekly rent, 4-bedroom houses	$/week	Median weekly rent on new tenancies of 4-bedroom houses that started in the quarter, from lodged rental bonds.
`bonds_all` New bonds, all dwellings	count	Number of new rental bonds lodged in the quarter for all dwellings; this is the sample size behind the median.
`bonds_flat_1bed` New bonds, 1-bedroom flats	count	Number of new rental bonds lodged in the quarter for 1-bedroom flats; this is the sample size behind the median.
`bonds_flat_2bed` New bonds, 2-bedroom flats	count	Number of new rental bonds lodged in the quarter for 2-bedroom flats; this is the sample size behind the median.
`bonds_flat_3bed` New bonds, 3-bedroom flats	count	Number of new rental bonds lodged in the quarter for 3-bedroom flats; this is the sample size behind the median.
`bonds_house_2bed` New bonds, 2-bedroom houses	count	Number of new rental bonds lodged in the quarter for 2-bedroom houses; this is the sample size behind the median.
`bonds_house_3bed` New bonds, 3-bedroom houses	count	Number of new rental bonds lodged in the quarter for 3-bedroom houses; this is the sample size behind the median.
`bonds_house_4bed` New bonds, 4-bedroom houses	count	Number of new rental bonds lodged in the quarter for 4-bedroom houses; this is the sample size behind the median.