Extra risk indicators
/v1/suburbs/{suburb_name}/risks/extras10¢ per callLandslide / storm-tide coverage, EPA notices, landlord-insurance medians and crime benchmark, with per-microburb detail.
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_namestringrequiredExact 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
Responses
Successful Response
area_namestringalways returnedCanonical ABS SAL suburb name.
area_levelstringalways returnedAlways 'suburb'.
landslide_pctnumbermay be null% of suburb area in a landslide-risk overlay.
storm_tide_high_pctnumbermay be null% of suburb area in the high storm-tide band.
epa_notices_nintegermay be nullEPA notices inside the suburb.
insuranceobjectalways returnedLandlord-insurance premium estimate medians for the suburb.
crime_benchobjectalways returnedCrime benchmark — median of summed per-100k predicted crime rates across microburbs, suburb vs national.
per_mbobjectalways returnedPer-microburb detail split out from the suburb scalars.
/v1/suburbs/{suburb_name}/risks/extrascurl --request GET \
--url 'https://api.microburbs.com.au/v1/suburbs/Belmont%20North/risks/extras' \
--header 'Authorization: Bearer test'{
"data": {
"area_name": "Belmont North",
"area_level": "suburb",
"landslide_pct": 0,
"storm_tide_high_pct": 0,
"epa_notices_n": 3,
"insurance": {
"n": 77,
"comp_med": 2542,
"basic_med": 479,
"rent_med": 433
},
"crime_bench": {
"nat_med": 2787.56,
"sub_med": 2248.01
},
"per_mb": {
"insurance": [
{
"mb": "10431160000",
"score": 2551
}
],
"risks": [
{
"mb": "10431160000",
"contam_pct": 100,
"mine_pct": 100,
"acid_pct": 0
}
]
}
}
}