Australia - Non-residential Building Completions





Australia: Non-residential Building Completions

Mnemonic HCMPN.IAUS
Unit Ths. Ch. AUD, SA
Adjustments Seasonally Adjusted
Quarterly 1.9 %
Data 2018 Q4 10,718,869
2018 Q3 10,518,942

Series Information

Source Australian Bureau of Statistics (ABS)
Release Construction Work Completed
Frequency Quarterly
Start Date 9/30/1974
End Date 12/31/2018

Australia: Real Estate

Reference Last Previous Units Frequency
House Price Value 2019 Q1 528,586 538,245 AUD, NSA Quarterly
Residential Building Permits Mar 2019 14,429 17,083 #, SA Monthly
Building Completions 2018 Q4 29,599,558 30,103,262 Ths. Ch. AUD, SA Quarterly
Housing Starts 2018 Q4 26,754 29,088 #, SA Quarterly
Non-residential Building Completions 2018 Q4 10,718,869 10,518,942 Ths. Ch. AUD, SA Quarterly
Residential Building Completions 2018 Q4 16,661,651 17,268,275 Ths. Ch. AUD, SA Quarterly
Residential Housing Starts 2018 Q4 19,134 26,148 #, SA Quarterly
House Price Index 2018 Q2 149.46 151.34 2011-2012=100 Index, SA Quarterly

Release Information

Presents preliminary statistics for the value of construction work done in Australia. Separate data is shown for building work done and for engineering work done for both the private and public sectors. The building work done data is further dissected into new residential, alterations and additions to residential and non-residential work. The data is a major source used to compile the national accounts estimates for private gross fixed capital formation on dwellings, and other buildings and structures

The estimates of building work done and engineering work done are from the quarterly Building Activity Survey and the quarterly Engineering Construction Survey respectively. Estimates of work done are based upon a response from each survey of approximately 80% of the value of work done during the current quarter. 

The scope of the Building Activity Survey is building activity which includes construction of new buildings and alterations and additions to existing buildings. 

Classifications of data are catagorised from ownership (private\public), type of building and type of work put into the buildings from newly built to alterations.

Data are subject to adjustments. Seasonally adjusted statistics reflect both irregular and trend movements, an upward or downward movement in a seasonally adjusted series does not necessarily indicate a change of trend.