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

Places of worship and community centres

GET/v1/suburbs/{suburb_name}/amenities/community-and-worship5¢ per call

Christian churches, mosques, Hindu, Buddhist and Sikh temples, synagogues, community centres and halls, and cemeteries: 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/community-and-worship.

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_churches, per_1000_churches, nearest_km_churches, count_mosques, per_1000_mosques, nearest_km_mosques, count_hindu_temples, per_1000_hindu_temples, nearest_km_hindu_temples, count_buddhist_temples, per_1000_buddhist_temples, nearest_km_buddhist_temples, count_sikh_temples, per_1000_sikh_temples, nearest_km_sikh_temples, count_synagogues, per_1000_synagogues, nearest_km_synagogues, count_community_centres, per_1000_community_centres, nearest_km_community_centres, count_cemeteries, per_1000_cemeteries, nearest_km_cemeteries, 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/community-and-worship

cURL

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

Example Responses

Show schema

{
  "data": {
    "dataset": "community-and-worship",
    "level": "suburb",
    "area": "Nightcliff",
    "period_type": "snapshot",
    "as_of": "2026-10-01",
    "modelled": false,
    "fields": [
      {
        "field": "count_churches",
        "name": "Christian churches: count",
        "unit": "count",
        "values": [
          {
            "period": "2026-10-01",
            "period_start": "2026-10-01",
            "value": 0
          }
        ]
      },
      {
        "field": "per_1000_churches",
        "name": "Christian churches: per 1,000 residents",
        "unit": "per 1,000",
        "values": [
          {
            "period": "2026-10-01",
            "period_start": "2026-10-01",
            "value": 0
          }
        ]
      },
      {
        "field": "nearest_km_churches",
        "name": "Christian churches: nearest",
        "unit": "km",
        "values": [
          {
            "period": "2026-10-01",
            "period_start": "2026-10-01",
            "value": 1.142
          }
        ]
      }
    ]
  }
}

Successful Response200

application/json

About this dataset

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

What it is

Christian churches, mosques, Hindu, Buddhist and Sikh temples, synagogues, community centres and halls, and cemeteries, 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

Faith and community infrastructure shows which communities a suburb serves and where gathering places exist. It is used for community services planning, outreach, and finding suburbs that suit a particular faith community.

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_churches` Christian churches: count	count	Number of christian churches inside the suburb boundary.
`per_1000_churches` Christian churches: per 1,000 residents	per 1,000	Christian churches per 1,000 residents. Left blank for suburbs with fewer than 200 residents.
`nearest_km_churches` Christian churches: nearest	km	Straight-line distance from the suburb centre to the nearest of these, in kilometres; blank when none is within 50 km.
`count_mosques` Mosques: count	count	Number of mosques inside the suburb boundary.
`per_1000_mosques` Mosques: per 1,000 residents	per 1,000	Mosques per 1,000 residents. Left blank for suburbs with fewer than 200 residents.
`nearest_km_mosques` Mosques: nearest	km	Straight-line distance from the suburb centre to the nearest of these, in kilometres; blank when none is within 50 km.
`count_hindu_temples` Hindu temples: count	count	Number of hindu temples inside the suburb boundary.
`per_1000_hindu_temples` Hindu temples: per 1,000 residents	per 1,000	Hindu temples per 1,000 residents. Left blank for suburbs with fewer than 200 residents.
`nearest_km_hindu_temples` Hindu temples: nearest	km	Straight-line distance from the suburb centre to the nearest of these, in kilometres; blank when none is within 50 km.
`count_buddhist_temples` Buddhist temples: count	count	Number of buddhist temples inside the suburb boundary.
`per_1000_buddhist_temples` Buddhist temples: per 1,000 residents	per 1,000	Buddhist temples per 1,000 residents. Left blank for suburbs with fewer than 200 residents.
`nearest_km_buddhist_temples` Buddhist temples: nearest	km	Straight-line distance from the suburb centre to the nearest of these, in kilometres; blank when none is within 50 km.
`count_sikh_temples` Sikh temples: count	count	Number of sikh temples inside the suburb boundary.
`per_1000_sikh_temples` Sikh temples: per 1,000 residents	per 1,000	Sikh temples per 1,000 residents. Left blank for suburbs with fewer than 200 residents.
`nearest_km_sikh_temples` Sikh temples: nearest	km	Straight-line distance from the suburb centre to the nearest of these, in kilometres; blank when none is within 50 km.
`count_synagogues` Synagogues: count	count	Number of synagogues inside the suburb boundary.
`per_1000_synagogues` Synagogues: per 1,000 residents	per 1,000	Synagogues per 1,000 residents. Left blank for suburbs with fewer than 200 residents.
`nearest_km_synagogues` Synagogues: nearest	km	Straight-line distance from the suburb centre to the nearest of these, in kilometres; blank when none is within 50 km.
`count_community_centres` Community centres and halls: count	count	Number of community centres and halls inside the suburb boundary.
`per_1000_community_centres` Community centres and halls: per 1,000 residents	per 1,000	Community centres and halls per 1,000 residents. Left blank for suburbs with fewer than 200 residents.
`nearest_km_community_centres` Community centres and halls: nearest	km	Straight-line distance from the suburb centre to the nearest of these, in kilometres; blank when none is within 50 km.
`count_cemeteries` Cemeteries: count	count	Number of cemeteries inside the suburb boundary.
`per_1000_cemeteries` Cemeteries: per 1,000 residents	per 1,000	Cemeteries per 1,000 residents. Left blank for suburbs with fewer than 200 residents.
`nearest_km_cemeteries` Cemeteries: 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 places of worship and community centres: count	count	Total of all categories in this group inside the suburb.
`per_1000_total` All places of worship and community centres: per 1,000 residents	per 1,000	Total per 1,000 residents; blank for suburbs with fewer than 200 residents.
`per_km2_total` All places of worship and community centres: per km2	per km2	Total per square kilometre of suburb area.