Free sandbox: try any request below on the sample suburbs, no signup. For every suburb, create an API key.

Microburbs Property Data API

Suburb - Amenities

Banking, post and emergency services

GET/v1/suburbs/{suburb_name}/amenities/services5¢ per call

Bank branches, ATMs, post offices, police stations and fire stations: counts in the suburb, rates per 1,000 residents and distance from the suburb centre to the nearest of each.

Coverage: All Australian suburbs and localities. Current to 2026-10-01. Full description, field list and method: /v1/datasets/services.

Exact suburb identifier required. Exact official suburb name (SAL), e.g. Burwood (NSW) — many suburbs carry a state suffix. If starting from free text or an unverified bare name, first call GET /v1/geocode/suburb?q=<text>, then use the exact data[].area_name it returns. Suburb data endpoints do not guess a state or typo-correct names.

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

suburb_namestringrequired

Exact official suburb name (SAL), e.g. `Burwood (NSW)` — many suburbs carry a state suffix. If starting from free text or an unverified bare name, first call `GET /v1/geocode/suburb?q=<text>`, then use the exact `data[].area_name` it returns. Suburb data endpoints do not guess a state or typo-correct names.

Query parameters

fieldsstringoptional

Comma-separated subset of: count_banks, per_1000_banks, nearest_km_banks, count_atms, per_1000_atms, nearest_km_atms, count_post_offices, per_1000_post_offices, nearest_km_post_offices, count_police_stations, per_1000_police_stations, nearest_km_police_stations, count_fire_stations, per_1000_fire_stations, nearest_km_fire_stations, count_total, per_1000_total, per_km2_total. 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/suburbs/{suburb_name}/amenities/services

cURL

curl --request GET \
  --url 'https://api.microburbs.com.au/v1/suburbs/Belmont%20North/amenities/services' \
  --header 'Authorization: Bearer test'

Example Responses

Show schema

{
  "data": {
    "dataset": "services",
    "level": "suburb",
    "area": "Belmont North",
    "period_type": "snapshot",
    "as_of": "2026-10-01",
    "modelled": false,
    "fields": [
      {
        "field": "count_banks",
        "name": "Bank branches: count",
        "unit": "count",
        "values": [
          {
            "period": "2026-10-01",
            "period_start": "2026-10-01",
            "value": 0
          }
        ]
      },
      {
        "field": "per_1000_banks",
        "name": "Bank branches: per 1,000 residents",
        "unit": "per 1,000",
        "values": [
          {
            "period": "2026-10-01",
            "period_start": "2026-10-01",
            "value": 0
          }
        ]
      },
      {
        "field": "nearest_km_banks",
        "name": "Bank branches: nearest",
        "unit": "km",
        "values": [
          {
            "period": "2026-10-01",
            "period_start": "2026-10-01",
            "value": 2.724
          }
        ]
      }
    ]
  }
}

Successful Response200

application/json

About this dataset

All Australian suburbs and localities. Current to 2026-10-01; refreshed quarterly.

What it is

Bank branches, ATMs, post offices, police stations and fire stations, summarised for every suburb in one call.

What it shows

For each category: the number inside the suburb boundary, the number per 1,000 residents, and the distance in kilometres from the suburb centre to the nearest one. Plus a total count, a total per 1,000 residents and a total per square kilometre for the whole group.

Why use it

Access to banking and post is a practical test of how self-contained a suburb is, and highlights services deserts in regional and outer areas. Emergency services proximity is a common buyer and insurer question.

How it is built

We combine open map data with a second places database, drop duplicates, closed and unnamed places, and place each one in its suburb by location. Rates use the suburb's latest resident count and are left blank under 200 residents. Distances are straight-line from the suburb's central point, not walking or driving distance, and are blank beyond 50 km. Counts reflect what is mapped, so very small or remote suburbs can be under-counted.

Fields

Field	Unit	Description
`count_banks` Bank branches: count	count	Number of bank branches inside the suburb boundary.
`per_1000_banks` Bank branches: per 1,000 residents	per 1,000	Bank branches per 1,000 residents. Left blank for suburbs with fewer than 200 residents.
`nearest_km_banks` Bank branches: nearest	km	Straight-line distance from the suburb centre to the nearest of these, in kilometres; blank when none is within 50 km.
`count_atms` ATMs: count	count	Number of atms inside the suburb boundary.
`per_1000_atms` ATMs: per 1,000 residents	per 1,000	ATMs per 1,000 residents. Left blank for suburbs with fewer than 200 residents.
`nearest_km_atms` ATMs: nearest	km	Straight-line distance from the suburb centre to the nearest of these, in kilometres; blank when none is within 50 km.
`count_post_offices` Post offices: count	count	Number of post offices inside the suburb boundary.
`per_1000_post_offices` Post offices: per 1,000 residents	per 1,000	Post offices per 1,000 residents. Left blank for suburbs with fewer than 200 residents.
`nearest_km_post_offices` Post offices: nearest	km	Straight-line distance from the suburb centre to the nearest of these, in kilometres; blank when none is within 50 km.
`count_police_stations` Police stations: count	count	Number of police stations inside the suburb boundary.
`per_1000_police_stations` Police stations: per 1,000 residents	per 1,000	Police stations per 1,000 residents. Left blank for suburbs with fewer than 200 residents.
`nearest_km_police_stations` Police stations: nearest	km	Straight-line distance from the suburb centre to the nearest of these, in kilometres; blank when none is within 50 km.
`count_fire_stations` Fire stations: count	count	Number of fire stations inside the suburb boundary.
`per_1000_fire_stations` Fire stations: per 1,000 residents	per 1,000	Fire stations per 1,000 residents. Left blank for suburbs with fewer than 200 residents.
`nearest_km_fire_stations` Fire stations: nearest	km	Straight-line distance from the suburb centre to the nearest of these, in kilometres; blank when none is within 50 km.
`count_total` All banking, post and emergency services: count	count	Total of all categories in this group inside the suburb.
`per_1000_total` All banking, post and emergency services: per 1,000 residents	per 1,000	Total per 1,000 residents; blank for suburbs with fewer than 200 residents.
`per_km2_total` All banking, post and emergency services: per km2	per km2	Total per square kilometre of suburb area.