Microburbs
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Classic docs
Microburbs Property Data API
Suburb - Crime

Crime — breakdown by type

GET/v1/suburbs/{suburb_name}/crime/breakdown10¢ per call

Per-crime-type rates (predicted incidents per 100,000 residents per year) for the suburb vs national medians.

Exact suburb identifier required. Exact ABS Suburb and Locality (SAL) name, 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.

Price: 10¢ per call.

Authorization

Request

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

Path parameters

suburb_namestringrequired

Exact ABS Suburb and Locality (SAL) name, 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

None — this endpoint accepts no query parameters. Call the path above with your bearer token and nothing else.

Responses

Successful Response

application/json
CrimeBreakdownfields returned to you
area_namestringalways returned

Suburb (SAL) name.

area_levelstringalways returned

Always 'suburb' for these endpoints.

unitstringalways returned

Unit of every rate / national_median value — always 'predicted incidents per 100,000 residents per year'.

breakdownarray of CrimeBreakdownRowalways returned

One row per crime type, sorted by rate descending.

GET/v1/suburbs/{suburb_name}/crime/breakdown
cURL
curl --request GET \
  --url 'https://api.microburbs.com.au/v1/suburbs/Belmont%20North/crime/breakdown' \
  --header 'Authorization: Bearer test'
Example Responses
{
  "data": {
    "area_level": "suburb",
    "area_name": "Belmont North",
    "breakdown": [
      {
        "diff_pct": 12,
        "label": "Property",
        "national_median": 898,
        "rate": 1008,
        "type": "property",
        "verdict": "Above average"
      },
      {
        "diff_pct": -12,
        "label": "Drugs",
        "national_median": 409,
        "rate": 358,
        "type": "drugs",
        "verdict": "Below average"
      }
    ],
    "unit": "predicted incidents per 100,000 residents per year"
  }
}
Successful Response200
application/json