Database Specific
Database Specific Abstract AbstractProvides estimates of changes in residential property prices in each of the eight capital cities of Australia and related statistics. The information is presented in the form of price indexes for established houses and attached dwellings as well as an aggregated residential property price index. Estimates relating to the total value of the dwelling stock, transfer counts and medians are also provided.
Source Source Contact person/organisation Contact person/organisationFor further information about these and related statistics, contact the National Information and Referral Service on 1300 135 070
Direct source Direct sourceResidential Property Price Indexes: Eight Capital Cities
Source Periodicity Source PeriodicityQuarterly
Data source(s) used Data source(s) usedAdministrative data and survey data
Data Characteristics Data Characteristics Base period Base periodIt is calculated on the index reference period of each index: 2011-12 = 100.0 for each of the eight capital cities as well as a weighted average of them.
Other data characteristics Other data characteristicsAll Australian residential property sales data are supplied to the ABS by CoreLogic RP Data. This dataset is a combination of residential property sales data obtained from State and Territory Land Title Office or Valuers General Offices (VGs) in each capital city and real estate agents data provided to CoreLogic RP Data. The calculations are based on the exchange date of the sales and the weighting information for established houses and attached dwellings is collected through the Census of Population and Housing.
Periodicity PeriodicityQuarterly.
Sampling Sampling Population & Scope Population & Scope Geographic coverage Geographic coverageThe geographic coverage of the indexes is the eight Greater Capital City Statistical Areas (GCCSA). The geographical coverage for the median price, transfer counts and Total Value of Dwelling Stock (TVDS) is the whole of state (including the Other Territories).
Statistical population Statistical populationSydney, Melbourne, Brisbane, Adelaide, Perth, Hobart, Darwin, Canberra, Weighted average of eight capital cities, Rest of State and Australia.
Concepts & Classifications Concepts & Classifications Aggregation & consolidation Aggregation & consolidation Classification(s) used Classification(s) usedThe Greater Capital City Statistical Area (GCCSA) is based on the 2011 Australian Statistical Geography Standard (ASGS) (vol 1, cat. no. 1270.0.55.001) The definition of dwelling structure type for the purpose of the Residential Property Price Index (RPPI) is consistent with the ABS classifications: The Functional Classification of Building 1999 (revision 2011) (cat. no. 1268.0.55.001); and the Dwelling Structure Classification which is used in the Census of Population and Housing (refer to Census Dictionary, 2011 (cat. no. 2901.0).
Estimation Estimation Imputation ImputationIt should be noted that when the number of price observations available for a cluster is nil or extremely low in a quarter, a price movement for the cluster is derived using imputation methods based on price movements of other clusters.
Index type Index typePrice Index
Key statistical concept Key statistical conceptA price index is concerned with measuring pure price change - that is, it is concerned with isolating and measuring that element of price change which is not brought about by any change to either the quantity or the quality of the goods or services for which the index is required.
Weights WeightsProvides estimates of changes in residential property prices in each of the eight capital cities of Australia and related statistics. The information is presented in the form of price indexes for established houses and attached dwellings as well as an aggregated residential property price index. Estimates relating to the total value of the dwelling stock, transfer counts and medians are also provided.
For further information about these and related statistics, contact the National Information and Referral Service on 1300 135 070
Administrative data and survey data
Residential Property Price Indexes: Eight Capital Cities
Quarterly
Quarterly.
It is calculated on the index reference period of each index: 2011-12 = 100.0 for each of the eight capital cities as well as a weighted average of them.
All Australian residential property sales data are supplied to the ABS by CoreLogic RP Data. This dataset is a combination of residential property sales data obtained from State and Territory Land Title Office or Valuers General Offices (VGs) in each capital city and real estate agents data provided to CoreLogic RP Data. The calculations are based on the exchange date of the sales and the weighting information for established houses and attached dwellings is collected through the Census of Population and Housing.
Sydney, Melbourne, Brisbane, Adelaide, Perth, Hobart, Darwin, Canberra, Weighted average of eight capital cities, Rest of State and Australia.
The geographic coverage of the indexes is the eight Greater Capital City Statistical Areas (GCCSA). The geographical coverage for the median price, transfer counts and Total Value of Dwelling Stock (TVDS) is the whole of state (including the Other Territories).
A price index is concerned with measuring pure price change - that is, it is concerned with isolating and measuring that element of price change which is not brought about by any change to either the quantity or the quality of the goods or services for which the index is required.
The Greater Capital City Statistical Area (GCCSA) is based on the 2011 Australian Statistical Geography Standard (ASGS) (vol 1, cat. no. 1270.0.55.001) The definition of dwelling structure type for the purpose of the Residential Property Price Index (RPPI) is consistent with the ABS classifications: The Functional Classification of Building 1999 (revision 2011) (cat. no. 1268.0.55.001); and the Dwelling Structure Classification which is used in the Census of Population and Housing (refer to Census Dictionary, 2011 (cat. no. 2901.0).
It should be noted that when the number of price observations available for a cluster is nil or extremely low in a quarter, a price movement for the cluster is derived using imputation methods based on price movements of other clusters.
Price Index