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JUNE KEY FIGURES

		Jun Qtr 14	Mar Qtr 14 to Jun Qtr 14	Jun Qtr 13 to Jun Qtr 14
		$m	% change	% change
Trend estimates(a)
	Total new capital expenditure	37 408	-1.7	-5.0
	Buildings and structures	25 223	-1.9	-2.1
	Equipment, plant and machinery	12 218	-1.1	-10.4
Seasonally adjusted(a)
	Total new capital expenditure	37 646	1.1	-4.0
	Buildings and structures	25 293	2.0	-0.7
	Equipment, plant and machinery	12 352	-0.9	-10.1
(a) In volume terms

New Capital Expenditure, in Volume terms

• The trend volume estimate for total new capital expenditure decreased by 1.7% in the June quarter 2014 while the seasonally adjusted estimate increased by 1.1%.
• The trend volume estimate for buildings and structures decreased by 1.9% in the June quarter 2014 while the seasonally adjusted estimate increased by 2.0%.
• The trend volume estimate for equipment, plant and machinery decreased by 1.1% in the June quarter 2014 while the seasonally adjusted estimate decreased by 0.9%.

• This issue includes the seventh estimate (Estimate 7) for 2013-14 and the third estimate (Estimate 3) for 2014-15.
• Estimate 7 for 2013-14 is $157,869m. This is 1.7% lower than Estimate 7 for 2012-13. Estimate 7 is 3.2% lower than Estimate 6 for 2013-14.
• Estimate 3 for 2014-15 is $145,158m. This is 10.2% lower than Estimate 3 for 2013-14.
• See pages 7 to 10 for further commentary on expectations data.

• As happens in September quarter each year, revisions to previously released data will occur as a result of the annual re-analysis of seasonally adjusted data series and the movement forward on the index year for the calculation of chain volume measures.

• The March quarter 2014 estimate for total capital expenditure has been revised upwards by $281m (+0.8%). Buildings and structures was revised upwards by $288m (+1.3%) and equipment, plant and machinery was revised downwards by $8m (-0.1%). The revisions are due to updated information received from survey respondents.
• Revisions to seasonally adjusted estimates are due to revisions to original estimates as well as concurrent methodology for deriving seasonal factors.