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Microburbs Property Data API

LGA - Area Statistics

Motor vehicles per dwelling

GET/v1/lga/{lga_name}/area-stats/motor-vehicles5¢ per call

How many cars households keep: dwellings with no vehicle, one, two, three or four or more, for every suburb and council area.

Coverage: About 10,700 suburbs and localities and 545 council areas across Australia, in all states and territories (areas with too few people or homes for reliable figures are left out); one snapshot at 10 August 2021. Current to 2021-08-10. Full description, field list and method: /v1/datasets/motor-vehicles.

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: total_occupied_dwellings, no_vehicle_count, no_vehicle_pct, one_vehicle_count, one_vehicle_pct, two_vehicles_count, two_vehicles_pct, three_vehicles_count, three_vehicles_pct, four_plus_vehicles_count, four_plus_vehicles_pct, two_or_more_vehicles_count, two_or_more_vehicles_pct, vehicles_not_stated_count, vehicles_not_stated_pct. 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}/area-stats/motor-vehicles

cURL

curl --request GET \
  --url 'https://api.microburbs.com.au/v1/lga/Lake%20Macquarie/area-stats/motor-vehicles' \
  --header 'Authorization: Bearer test'

Example Responses

Show schema

{
  "data": {
    "dataset": "motor-vehicles",
    "level": "lga",
    "area": "Waverley",
    "period_type": "snapshot",
    "as_of": "2021-08-10",
    "modelled": false,
    "fields": [
      {
        "field": "total_occupied_dwellings",
        "name": "Occupied private dwellings",
        "unit": "dwellings",
        "values": [
          {
            "period": "2021-08-10",
            "period_start": "2021-08-10",
            "value": 27455
          }
        ]
      },
      {
        "field": "no_vehicle_count",
        "name": "No motor vehicle",
        "unit": "dwellings",
        "values": [
          {
            "period": "2021-08-10",
            "period_start": "2021-08-10",
            "value": 5100
          }
        ]
      },
      {
        "field": "no_vehicle_pct",
        "name": "No motor vehicle: share of occupied private dwellings",
        "unit": "%",
        "values": [
          {
            "period": "2021-08-10",
            "period_start": "2021-08-10",
            "value": 18.58
          }
        ]
      }
    ]
  }
}

Successful Response200

application/json

About this dataset

About 10,700 suburbs and localities and 545 council areas across Australia, in all states and territories (areas with too few people or homes for reliable figures are left out); one snapshot at 10 August 2021. Current to 2021-08-10; refreshed five-yearly.

What it is

The number of registered motor vehicles garaged or parked at each occupied private dwelling on 10 August 2021, for every suburb and council area, grouped as none, one, two, three and four or more, with a two-or-more total.

What it shows

Occupied private dwellings by number of motor vehicles, each as a count and as a share of all occupied private dwellings, plus the total. Counts and shares are separate fields (for example no_vehicle_count and no_vehicle_pct).

Why use it

Car ownership shows how car-dependent a suburb is and how much parking it needs. Use it to find walkable, transit-served suburbs where many households have no car, to judge parking demand for a development, to size a market for car services, car share or EV charging, or to add a transport profile to a suburb report. For how people get to work see travel-to-work.

How it is built

The base is all occupied private dwellings. Vehicles are those owned or used by residents and kept at the dwelling, excluding motorbikes, scooters and tractors. two_or_more_vehicles adds two, three and four or more. Areas with fewer than 20 dwellings are left out. Our 2021 area statistics, matched to our suburb and council-area names. Figures are a snapshot at 10 August 2021 (the latest full count), so they describe the area then, not today. To protect privacy the source lightly randomises small numbers, so a count of 0, 3 or 6 can be approximate and shares in small areas jump around: check the base field before trusting a percentage. Shares are rounded to two decimals and capped at 100.

Fields

Field	Unit	Description
`total_occupied_dwellings` Occupied private dwellings	dwellings	Occupied private dwellings in the area, the base for every share.
`no_vehicle_count` No motor vehicle	dwellings	Number of occupied private dwellings in the area with: No motor vehicle (2021 snapshot). Small counts are lightly randomised for privacy.
`no_vehicle_pct` No motor vehicle: share of occupied private dwellings	%	No motor vehicle as a percent of all occupied private dwellings in the area.
`one_vehicle_count` One motor vehicle	dwellings	Number of occupied private dwellings in the area with: One motor vehicle (2021 snapshot). Small counts are lightly randomised for privacy.
`one_vehicle_pct` One motor vehicle: share of occupied private dwellings	%	One motor vehicle as a percent of all occupied private dwellings in the area.
`two_vehicles_count` Two motor vehicles	dwellings	Number of occupied private dwellings in the area with: Two motor vehicles (2021 snapshot). Small counts are lightly randomised for privacy.
`two_vehicles_pct` Two motor vehicles: share of occupied private dwellings	%	Two motor vehicles as a percent of all occupied private dwellings in the area.
`three_vehicles_count` Three motor vehicles	dwellings	Number of occupied private dwellings in the area with: Three motor vehicles (2021 snapshot). Small counts are lightly randomised for privacy.
`three_vehicles_pct` Three motor vehicles: share of occupied private dwellings	%	Three motor vehicles as a percent of all occupied private dwellings in the area.
`four_plus_vehicles_count` Four or more motor vehicles	dwellings	Number of occupied private dwellings in the area with: Four or more motor vehicles (2021 snapshot). Small counts are lightly randomised for privacy.
`four_plus_vehicles_pct` Four or more motor vehicles: share of occupied private dwellings	%	Four or more motor vehicles as a percent of all occupied private dwellings in the area.
`two_or_more_vehicles_count` Two or more motor vehicles	dwellings	Number of occupied private dwellings in the area with: Two or more motor vehicles (2021 snapshot). Small counts are lightly randomised for privacy.
`two_or_more_vehicles_pct` Two or more motor vehicles: share of occupied private dwellings	%	Two or more motor vehicles as a percent of all occupied private dwellings in the area.
`vehicles_not_stated_count` Number of vehicles not stated	dwellings	Number of occupied private dwellings in the area with: Number of vehicles not stated (2021 snapshot). Small counts are lightly randomised for privacy.
`vehicles_not_stated_pct` Number of vehicles not stated: share of occupied private dwellings	%	Number of vehicles not stated as a percent of all occupied private dwellings in the area.