Regional Indices/Statistics

You can obtain price indices and other related statistics from the API at various region levels, intervals and time windows.

Statistics can be obtained for Houses, Units, and Dwellings (houses and units combined).

Region Type	Available Statistics ¹	Periods	Comments	Region Type Example Values ²

Region Type	Available Statistics ¹	Periods	Comments	Region Type Example Values ²
Locality/Suburb	Market Score Price Rents Sale Counts Time on Market Vendor Expectation Error Yields	Monthly all statistics Quarterly Price Time On Market Vendor Expectation Error	level = `SUBURB`-`postcode` Postcode is appended to suburb name to distinguish suburbs with same name in different states, or in the same state.	`MOSMAN-2088`
Postcode	Price	Monthly Quarterly		`2088`
LGA	Price Sale Counts	Monthly Quarterly	Prices are trimmed mean only. level = lga_code	`15350`
SA3	Price Rents Sale Counts Time on Market Vendor Expectation Error	Monthly Quarterly	level = sa3	`12104`
SA4	Price Rents Sale Counts Time on Market Vendor Expectation Error	Monthly Quarterly	level = sa4	`121`
City	Price Rents Yields	Monthly	level = SYD, MEL, BRI, PER, CAN, ADE, DAR, HOB, CAP5 (5 major capitals), AUS (all Australia), BRG (Brisbane including Gold Coast) Houses, Units and All Dwellings monthly hedonic index series representing average price movements across each Australian capital city. The price series reflect the changes in value of a large, diversified portfolio of residential property of that type in that capital city. The All Dwellings indices are dwelling stock weighted averages of the corresponding House and Unit indices, thus representing the changes in value of a combined, market weighted portfolio of houses and units in that city. There are also composite index series for all Australia (including regional areas) and a dwelling stock weighted average of the 5 largest capital cities (Sydney, Melbourne, Brisbane, Adelaide and Perth).	`SYD`

Notes

1. Types of statistics

Market Score = scale from 0 (cold) to 100 (hot) indicating level of market activity
Price = (except where commented) the best single index from a choice of hedonic & trimmed mean (hedonic where possible, trimmed mean in some metro fringe / regional areas).
Rents = trimmed mean of weekly rental prices
Sales Counts = number of sales that occurred in the period
Time on Market (TOM) = average time on market in days
Vendor Expectation Error (VEE) = average % difference sale to list price, with a +'ve % indicating on average sale price > listing price (a premium) and a -'ve % indicating on average sale price < listing price (a discount).
Yields = expected rental yield

2. Region values can be obtained or derived from the address_details portion of the property information returned by the v2/properties resource.

For example:

{
    ...
    "address": "23 CABBAN STREET MOSMAN NSW 2088",
    "property_id": "1017942",
    "property_type": "House",
    "address_details": {
        "address": "23 CABBAN STREET MOSMAN NSW 2088",
        "location": {
            "point": {
                "lat": -33.83561852,
                "lon": 151.24246728
            }
        },
        "unit_number": null,
        "street_number": "23",
        "street_number_high": null,
        "street": "CABBAN",
        "street_type": "ST",
        "street_suffix": null,
        "locality": "MOSMAN",
        "state": "NSW",
        "postcode": "2088",
        "lga": "Mosman (A)",
        "lga_code": "15350",
        "meshblock": 10527700000,
        "sa1": 12104141554,
        "sa2": 121041415,
        "sa3": 12104,
        "sa4": 121
    }
}