Private New Capital Expenditure and Expected Expenditure, Australia

This is not the latest release View the latest release

Contains estimates of actual and expected new capital expenditure by type of asset and by selected industries

Reference period

December 2019

Released

27/02/2020

View all releases

Key statistics

Trend estimate for total new capital expenditure fell 1.4% in Dec 2019.
Seasonally adjusted estimate for total new capital expenditure fell 2.8% in Dec 2019.
Buildings and structures fell 5.9% seasonally adjusted in Dec 2019.
Equipment, plant and machinery rose 0.8% in Dec 2019.

Main features

December key figures

		Dec Qtr 19	Sep Qtr 19 to Dec Qtr 19	Dec Qtr 18 to Dec Qtr 19
		$m	% change	% change
Trend estimates(a)
	Total new capital expenditure	28 663	-1.4	-4.5
	Buildings and structures	15 083	-1.7	-6.6
	Equipment, plant and machinery	13 599	-0.8	-1.9
Seasonally adjusted(a)
	Total new capital expenditure	28 454	-2.8	-5.8
	Buildings and structures	14 815	-5.9	-9.6
	Equipment, plant and machinery	13 639	0.8	-1.3

a. In volume terms

New capital expenditure, in volume terms
	Trend ($b)	Seasonally adjusted ($b)
Dec 2015	32.9	33.7
Mar 2016	31.6	31.7
Jun 2016	30.1	29.8
Sep 2016	28.9	28.7
Dec 2016	28.6	28.6
Mar 2017	28.8	28.9
Jun 2017	29.2	29.2
Sep 2017	29.6	29.7
Dec 2017	29.9	29.9
Mar 2018	29.9	30.1
Jun 2018	29.9	29.7
Sep 2018	29.8	29.8
Dec 2018	30.0	30.2
Mar 2019	29.8	29.7
Jun 2019	29.5	29.4
Sep 2019	29.1	29.3
Dec 2019	28.7	28.5

New capital expenditure, in volume terms

["","Trend","Seasonally adjusted"]

[["Dec 2015","Mar 2016","Jun 2016","Sep 2016","Dec 2016","Mar 2017","Jun 2017","Sep 2017","Dec 2017","Mar 2018","Jun 2018","Sep 2018","Dec 2018","Mar 2019","Jun 2019","Sep 2019","Dec 2019"],[[32.890999999999998],[31.591000000000001],[30.059999999999999],[28.866],[28.585000000000001],[28.826000000000001],[29.231000000000002],[29.628],[29.896000000000001],[29.940999999999999],[29.879000000000001],[29.798999999999999],[30.009],[29.802],[29.451000000000001],[29.059000000000001],[28.663]],[[33.719000000000001],[31.68],[29.84],[28.66],[28.646000000000001],[28.893000000000001],[29.181999999999999],[29.687999999999999],[29.861999999999998],[30.105],[29.707000000000001],[29.757000000000001],[30.207000000000001],[29.675999999999998],[29.399999999999999],[29.27],[28.454000000000001]]]

[]

[{"axis_id":"0","tick_interval":"4","axis_min":"","axis_max":"","axis_title":"","precision":-1,"axis_units":"","tooltip_units":"","table_units":"","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]

[{"axis_id":"0","tick_interval":"5","axis_min":"25","axis_max":"40","axis_title":"$b","precision":"1","table_units":"($b)","tooltip_units":"(b)","axis_units":"","data_unit_prefix":"$","data_unit_suffix":"","reverse_axis":false}]

December key points

Actual expenditure (volume terms)

The trend estimate for total new capital expenditure fell by -1.4% in the December quarter 2019. This follows a fall of -1.3% in the September quarter 2019.
The seasonally adjusted estimate for total new capital expenditure fell by -2.8% in the December quarter 2019. This follows a fall of -0.4% in the September quarter 2019.
The trend volume estimate for buildings and structures fell by -1.7% in the December quarter 2019. This follows a fall of -1.9% in the September quarter 2019.
The seasonally adjusted estimate for buildings and structures fell by -5.9% in the December quarter 2019. This follows a rise of 2.5% in the September quarter 2019.
The trend volume estimate for equipment, plant and machinery fell by -0.8% in the December quarter 2019. This follows a fall of -0.7% in the September quarter 2019.
The seasonally adjusted volume estimate for equipment, plant and machinery rose by 0.8% in the December quarter 2019. This follows a fall of -3.6% in the September quarter 2019.

Expected expenditure (current price terms)

This issue includes the fifth estimate (Estimate 5) for 2019-20 and the first estimate (Estimate 1) for 2020-21.
Estimate 5 for 2019-20 is $120,344m. This is 2.1% higher than Estimate 5 for 2018-19. Estimate 5 is 2.8% higher than Estimate 4 for 2019-20.
Estimate 1 for 2020-21 is $100,186m. This is 8.8% higher than Estimate 1 for 2019-20.

Actual new capital expenditure, in volume terms

Total capital expenditure

The trend estimate for total new capital expenditure fell -1.4% in the December quarter 2019.
The seasonally adjusted estimate for total new capital expenditure fell -2.8% in the December quarter 2019.

	Trend ($m)	Seasonally adjusted ($m)
Dec 2014	39,703	39,903
Mar 2015	37,878	37,763
Jun 2015	35,910	36,114
Sep 2015	33,957	33,026
Dec 2015	32,891	33,719
Mar 2016	31,591	31,680
Jun 2016	30,060	29,840
Sep 2016	28,866	28,660
Dec 2016	28,585	28,646
Mar 2017	28,826	28,893
Jun 2017	29,231	29,182
Sep 2017	29,628	29,688
Dec 2017	29,896	29,862
Mar 2018	29,941	30,105
Jun 2018	29,879	29,707
Sep 2018	29,799	29,757
Dec 2018	30,009	30,207
Mar 2019	29,802	29,676
Jun 2019	29,451	29,400
Sep 2019	29,059	29,270
Dec 2019	28,663	28,454

["","Trend","Seasonally adjusted"]

[["Dec 2014","Mar 2015","Jun 2015","Sep 2015","Dec 2015","Mar 2016","Jun 2016","Sep 2016","Dec 2016","Mar 2017","Jun 2017","Sep 2017","Dec 2017","Mar 2018","Jun 2018","Sep 2018","Dec 2018","Mar 2019","Jun 2019","Sep 2019","Dec 2019"],[[39703],[37878],[35910],[33957],[32891],[31591],[30060],[28866],[28585],[28826],[29231],[29628],[29896],[29941],[29879],[29799],[30009],[29802],[29451],[29059],[28663]],[[39903],[37763],[36114],[33026],[33719],[31680],[29840],[28660],[28646],[28893],[29182],[29688],[29862],[30105],[29707],[29757],[30207],[29676],[29400],[29270],[28454]]]

[]

[{"axis_id":"0","tick_interval":"4","axis_min":"","axis_max":"","axis_title":"","precision":-1,"axis_units":"","tooltip_units":"","table_units":"","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]

[{"axis_id":"0","tick_interval":"","axis_min":"27500","axis_max":"40000","axis_title":"$m","precision":"0","table_units":"($m)","tooltip_units":"(m)","axis_units":"","data_unit_prefix":"$","data_unit_suffix":"","reverse_axis":false}]

Buildings and structures

The trend estimate for buildings and structures fell -1.7% in the December quarter 2019.
The seasonally adjusted estimate for buildings and structures fell -5.9% in the December quarter 2019.

	Trend ($m)	Seasonally adjusted ($m)
Dec 2014	26,362	26,560
Mar 2015	24,798	24,576
Jun 2015	23,429	23,594
Sep 2015	21,913	21,248
Dec 2015	20,924	21,699
Mar 2016	19,423	19,524
Jun 2016	17,744	17,363
Sep 2016	16,611	16,468
Dec 2016	16,437	16,498
Mar 2017	16,668	16,801
Jun 2017	16,899	16,812
Sep 2017	16,998	17,062
Dec 2017	16,961	16,976
Mar 2018	16,713	16,717
Jun 2018	16,361	16,432
Sep 2018	16,079	15,831
Dec 2018	16,148	16,381
Mar 2019	15,906	15,912
Jun 2019	15,643	15,361
Sep 2019	15,347	15,740
Dec 2019	15,083	14,815

["","Trend","Seasonally adjusted"]

[["Dec 2014","Mar 2015","Jun 2015","Sep 2015","Dec 2015","Mar 2016","Jun 2016","Sep 2016","Dec 2016","Mar 2017","Jun 2017","Sep 2017","Dec 2017","Mar 2018","Jun 2018","Sep 2018","Dec 2018","Mar 2019","Jun 2019","Sep 2019","Dec 2019"],[[26362],[24798],[23429],[21913],[20924],[19423],[17744],[16611],[16437],[16668],[16899],[16998],[16961],[16713],[16361],[16079],[16148],[15906],[15643],[15347],[15083]],[[26560],[24576],[23594],[21248],[21699],[19524],[17363],[16468],[16498],[16801],[16812],[17062],[16976],[16717],[16432],[15831],[16381],[15912],[15361],[15740],[14815]]]

[]

[{"axis_id":"0","tick_interval":"4","axis_min":"","axis_max":"","axis_title":"","precision":-1,"axis_units":"","tooltip_units":"","table_units":"","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]

[{"axis_id":"0","tick_interval":"3000","axis_min":"15000","axis_max":"30000","axis_title":"$m","precision":"0","table_units":"($m)","tooltip_units":"(m)","axis_units":"","data_unit_prefix":"$","data_unit_suffix":"","reverse_axis":false}]

Equipment, plant and machinery

The trend estimate for equipment, plant and machinery fell -0.8% in the December quarter 2019.
The seasonally adjusted estimate for equipment, plant and machinery rose 0.8% in the December quarter 2019.

	Trend ($m)	Seasonally adjusted ($m)
Dec 2014	13,537	13,540
Mar 2015	13,256	13,352
Jun 2015	12,654	12,704
Sep 2015	12,198	11,920
Dec 2015	12,103	12,177
Mar 2016	12,268	12,250
Jun 2016	12,373	12,529
Sep 2016	12,283	12,218
Dec 2016	12,166	12,159
Mar 2017	12,168	12,124
Jun 2017	12,334	12,352
Sep 2017	12,631	12,631
Dec 2017	12,936	12,888
Mar 2018	13,229	13,396
Jun 2018	13,514	13,258
Sep 2018	13,714	13,926
Dec 2018	13,859	13,826
Mar 2019	13,896	13,765
Jun 2019	13,806	14,039
Sep 2019	13,711	13,529
Dec 2019	13,599	13,639

["","Trend","Seasonally adjusted"]

[["Dec 2014","Mar 2015","Jun 2015","Sep 2015","Dec 2015","Mar 2016","Jun 2016","Sep 2016","Dec 2016","Mar 2017","Jun 2017","Sep 2017","Dec 2017","Mar 2018","Jun 2018","Sep 2018","Dec 2018","Mar 2019","Jun 2019","Sep 2019","Dec 2019"],[[13537],[13256],[12654],[12198],[12103],[12268],[12373],[12283],[12166],[12168],[12334],[12631],[12936],[13229],[13514],[13714],[13859],[13896],[13806],[13711],[13599]],[[13540],[13352],[12704],[11920],[12177],[12250],[12529],[12218],[12159],[12124],[12352],[12631],[12888],[13396],[13258],[13926],[13826],[13765],[14039],[13529],[13639]]]

[]

[{"axis_id":"0","tick_interval":"4","axis_min":"","axis_max":"","axis_title":"","precision":-1,"axis_units":"","tooltip_units":"","table_units":"","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]

[{"axis_id":"0","tick_interval":"1000","axis_min":"11000","axis_max":"17000","axis_title":"$m","precision":"0","table_units":"($m)","tooltip_units":"(m)","axis_units":"","data_unit_prefix":"$","data_unit_suffix":"","reverse_axis":false}]

Mining

The trend estimate for Mining rose 0.6% in the December quarter 2019.
The seasonally adjusted estimate for Mining fell -2.7% in the December quarter 2019.

	Trend ($m)	Seasonally adjusted ($m)
Dec 2014	20,559	20,409
Mar 2015	19,000	19,310
Jun 2015	17,416	17,429
Sep 2015	15,985	15,252
Dec 2015	14,560	15,400
Mar 2016	12,961	12,920
Jun 2016	11,348	10,962
Sep 2016	10,232	10,233
Dec 2016	9,847	9,960
Mar 2017	9,677	9,674
Jun 2017	9,499	9,489
Sep 2017	9,349	9,396
Dec 2017	9,220	9,118
Mar 2018	9,025	9,144
Jun 2018	8,723	8,732
Sep 2018	8,371	8,334
Dec 2018	8,091	8,076
Mar 2019	8,044	8,008
Jun 2019	8,136	8,098
Sep 2019	8,221	8,375
Dec 2019	8,267	8,151

["","Trend","Seasonally adjusted"]

[["Dec 2014","Mar 2015","Jun 2015","Sep 2015","Dec 2015","Mar 2016","Jun 2016","Sep 2016","Dec 2016","Mar 2017","Jun 2017","Sep 2017","Dec 2017","Mar 2018","Jun 2018","Sep 2018","Dec 2018","Mar 2019","Jun 2019","Sep 2019","Dec 2019"],[[20559],[19000],[17416],[15985],[14560],[12961],[11348],[10232],[9847],[9677],[9499],[9349],[9220],[9025],[8723],[8371],[8091],[8044],[8136],[8221],[8267]],[[20409],[19310],[17429],[15252],[15400],[12920],[10962],[10233],[9960],[9674],[9489],[9396],[9118],[9144],[8732],[8334],[8076],[8008],[8098],[8375],[8151]]]

[]

[{"axis_id":"0","tick_interval":"4","axis_min":"","axis_max":"","axis_title":"","precision":-1,"axis_units":"","tooltip_units":"","table_units":"","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]

[{"axis_id":"0","tick_interval":"4000","axis_min":"8000","axis_max":"24000","axis_title":"$m","precision":"0","table_units":"($m)","tooltip_units":"(m)","axis_units":"","data_unit_prefix":"$","data_unit_suffix":"","reverse_axis":false}]

Manufacturing

The trend estimate for Manufacturing fell -0.6% in the December quarter 2019.
The seasonally adjusted estimate for Manufacturing fell -10.1% in the December quarter 2019.

	Trend ($m)	Seasonally adjusted ($m)
Dec 2014	2,272	2,386
Mar 2015	2,235	2,242
Jun 2015	2,190	2,070
Sep 2015	2,127	2,235
Dec 2015	2,096	2,115
Mar 2016	2,067	1,935
Jun 2016	2,054	2,197
Sep 2016	2,117	2,039
Dec 2016	2,210	2,166
Mar 2017	2,281	2,385
Jun 2017	2,329	2,306
Sep 2017	2,337	2,279
Dec 2017	2,356	2,405
Mar 2018	2,393	2,389
Jun 2018	2,410	2,379
Sep 2018	2,377	2,417
Dec 2018	2,318	2,354
Mar 2019	2,306	2,195
Jun 2019	2,337	2,358
Sep 2019	2,359	2,476
Dec 2019	2,346	2,227

["","Trend","Seasonally adjusted"]

[["Dec 2014","Mar 2015","Jun 2015","Sep 2015","Dec 2015","Mar 2016","Jun 2016","Sep 2016","Dec 2016","Mar 2017","Jun 2017","Sep 2017","Dec 2017","Mar 2018","Jun 2018","Sep 2018","Dec 2018","Mar 2019","Jun 2019","Sep 2019","Dec 2019"],[[2272],[2235],[2190],[2127],[2096],[2067],[2054],[2117],[2210],[2281],[2329],[2337],[2356],[2393],[2410],[2377],[2318],[2306],[2337],[2359],[2346]],[[2386],[2242],[2070],[2235],[2115],[1935],[2197],[2039],[2166],[2385],[2306],[2279],[2405],[2389],[2379],[2417],[2354],[2195],[2358],[2476],[2227]]]

[]

[{"axis_id":"0","tick_interval":"4","axis_min":"","axis_max":"","axis_title":"","precision":-1,"axis_units":"","tooltip_units":"","table_units":"","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]

[{"axis_id":"0","tick_interval":"300","axis_min":"1500","axis_max":"3000","axis_title":"$m","precision":"0","table_units":"($m)","tooltip_units":"(m)","axis_units":"","data_unit_prefix":"$","data_unit_suffix":"","reverse_axis":false}]

Other selected industries

The trend estimate for Other Selected Industries fell -2.2% in the December quarter 2019.
The seasonally adjusted estimate for Other Selected Industries fell -1.9% in the December quarter 2019.

	Trend ($m)	Seasonally adjusted ($m)
Dec 2014	17,000	17,236
Mar 2015	16,765	16,331
Jun 2015	16,421	16,741
Sep 2015	15,956	15,639
Dec 2015	16,323	16,307
Mar 2016	16,631	16,890
Jun 2016	16,705	16,726
Sep 2016	16,546	16,418
Dec 2016	16,543	16,534
Mar 2017	16,871	16,841
Jun 2017	17,400	17,378
Sep 2017	17,939	18,014
Dec 2017	18,320	18,338
Mar 2018	18,525	18,576
Jun 2018	18,746	18,592
Sep 2018	19,048	19,006
Dec 2018	19,599	19,777
Mar 2019	19,452	19,474
Jun 2019	18,976	18,944
Sep 2019	18,478	18,419
Dec 2019	18,077	18,076

["","Trend","Seasonally adjusted"]

[["Dec 2014","Mar 2015","Jun 2015","Sep 2015","Dec 2015","Mar 2016","Jun 2016","Sep 2016","Dec 2016","Mar 2017","Jun 2017","Sep 2017","Dec 2017","Mar 2018","Jun 2018","Sep 2018","Dec 2018","Mar 2019","Jun 2019","Sep 2019","Dec 2019"],[[17000],[16765],[16421],[15956],[16323],[16631],[16705],[16546],[16543],[16871],[17400],[17939],[18320],[18525],[18746],[19048],[19599],[19452],[18976],[18478],[18077]],[[17236],[16331],[16741],[15639],[16307],[16890],[16726],[16418],[16534],[16841],[17378],[18014],[18338],[18576],[18592],[19006],[19777],[19474],[18944],[18419],[18076]]]

[]

[{"axis_id":"0","tick_interval":"4","axis_min":"","axis_max":"","axis_title":"","precision":-1,"axis_units":"","tooltip_units":"","table_units":"","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]

[{"axis_id":"0","tick_interval":"2000","axis_min":"12000","axis_max":"20000","axis_title":"$m","precision":"0","table_units":"($m)","tooltip_units":"(m)","axis_units":"","data_unit_prefix":"$","data_unit_suffix":"","reverse_axis":false}]

Actual and expected new capital expenditure

Financial years at current prices

The graphs below show the seven estimates of actual and expected expenditure for each financial year.

The timing and construction of these estimates are as follows:

		COMPOSITION OF ESTIMATE
	Estimate Based on data reported at:	Data on long-term expected expenditure	Data on Short-term expected expenditure	Data on actual expenditure
1.	Jan-Feb, 5-6 months before period begins	12 months	Nil	Nil
2.	Apr-May, 2-3 months before period begins	12 months	Nil	Nil
3.	Jul-Aug, at beginning of period	6 months	6 months	Nil
4.	Oct-Nov, 3-4 months into period	6 months	3 months	3 months
5.	Jan-Feb, 6-7 months into period	Nil	6 months	6 months
6.	Apr-May, 9-10 months into period	Nil	3 months	9 months
7.	Jul-Aug, at end of period	Nil	Nil	12 months

Total capital expenditure

Estimate 5 for 2019-20 is $120,344m. This is 2.1% higher than Estimate 5 for 2018-19.
Estimate 1 for 2020-21 is $100,186m. This is 8.8% higher than Estimate 1 for 2019-20.

	Actual year to date ($b)	Expected full year ($b)
1 (2015-2016)	-	102.6
2 (2015-2016)	-	104.5
3 (2015-2016)	-	115.7
4 (2015-2016)	32.4	92.3
5 (2015-2016)	68.7	54.5
6 (2015-2016)	96.3	30.9
7 (2015-2016)	127.7	-

1 (2016-2017)	-	83.9
2 (2016-2017)	-	91.3
3 (2016-2017)	-	105.6
4 (2016-2017)	27.9	79.3
5 (2016-2017)	58.7	53.1
6 (2016-2017)	83.7	29.4
7 (2016-2017)	114.4	-

1 (2017-2018)	-	81.2
2 (2017-2018)	-	86.6
3 (2017-2018)	-	103.1
4 (2017-2018)	28.9	80.4
5 (2017-2018)	61.1	53.2
6 (2017-2018)	87.4	30.3
7 (2017-2018)	119.4	-

1 (2018-2019)	-	83.0
2 (2018-2019)	-	87.9
3 (2018-2019)	-	102.5
4 (2018-2019)	29.4	84.4
5 (2018-2019)	62.9	55.0
6 (2018-2019)	89.4	32.8
7 (2018-2019)	122.1	-

1 (2019-2020)	-	92.1
2 (2019-2020)	-	98.7
3 (2019-2020)	-	112.9
4 (2019-2020)	29.6	87.4
5 (2019-2020)	61.9	58.5
6 (2019-2020)	-	-
7 (2019-2020)	-	-

1 (2020-2021)	-	100.2
2 (2020-2021)	-	-
3 (2020-2021)	-	-
4 (2020-2021)	-	-
5 (2020-2021)	-	-
6 (2020-2021)	-	-
7 (2020-2021)	-	-

["","Actual year to date","Expected full year"]

[["1 (2015-2016)","2 (2015-2016)","3 (2015-2016)","4 (2015-2016)","5 (2015-2016)","6 (2015-2016)","7 (2015-2016)","","1 (2016-2017)","2 (2016-2017)","3 (2016-2017)","4 (2016-2017)","5 (2016-2017)","6 (2016-2017)","7 (2016-2017)","","1 (2017-2018)","2 (2017-2018)","3 (2017-2018)","4 (2017-2018)","5 (2017-2018)","6 (2017-2018)","7 (2017-2018)","","1 (2018-2019)","2 (2018-2019)","3 (2018-2019)","4 (2018-2019)","5 (2018-2019)","6 (2018-2019)","7 (2018-2019)","","1 (2019-2020)","2 (2019-2020)","3 (2019-2020)","4 (2019-2020)","5 (2019-2020)","6 (2019-2020)","7 (2019-2020)","","1 (2020-2021)","2 (2020-2021)","3 (2020-2021)","4 (2020-2021)","5 (2020-2021)","6 (2020-2021)","7 (2020-2021)"],[[null],[null],[null],[32.40881529],[68.70169568],[96.326043010000006],[127.6915896],[null],[null],[null],[null],[27.883177159999999],[58.65888554],[83.730410969999994],[114.4057933],[null],[null],[null],[null],[28.90283539],[61.140679300000002],[87.416371389999995],[119.3610315],[null],[null],[null],[null],[29.44030592],[62.852578549999997],[89.382166900000001],[122.0742065],[null],[null],[null],[null],[29.632061570000001],[61.873131839999999],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null]],[[102.5708473],[104.4991771],[115.7035204],[92.313081350000004],[54.543276429999999],[30.856429129999999],[null],[null],[83.937457910000006],[91.309132649999995],[105.59934],[79.295889389999999],[53.096360619999999],[29.444493640000001],[null],[null],[81.195278200000004],[86.557508409999997],[103.1050422],[80.366341079999998],[53.160567460000003],[30.28721144],[null],[null],[82.987209289999996],[87.883266379999995],[102.47948359999999],[84.36355408],[54.99901088],[32.844244850000003],[null],[null],[92.120853769999997],[98.723709940000006],[112.9064748],[87.381376689999996],[58.470502140000001],[null],[null],[null],[100.1861143],[null],[null],[null],[null],[null],[null]],[[null],[null],[null],[null],[null]]]

[]

[{"axis_id":"0","tick_interval":"","axis_min":"","axis_max":"","axis_title":"","precision":-1,"axis_units":"","tooltip_units":"","table_units":"","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]

[{"axis_id":"0","tick_interval":"20","axis_min":"0","axis_max":"200","axis_title":"$ billion","precision":"1","table_units":"($b)","tooltip_units":"(b)","axis_units":"","data_unit_prefix":"$","data_unit_suffix":"","reverse_axis":false}]

Buildings and structures

Estimate 5 for 2019-20 is $68,475m. This is 2.4% higher than Estimate 5 for 2018-19.
Estimate 1 for 2020-21 is $61,049m. This is 10.8% higher than Estimate 1 for 2019-20

	Actual year to date ($b)	Expected full year ($b)
1 (2015-2016)	-	69.1
2 (2015-2016)	-	70.6
3 (2015-2016)	-	76.8
4 (2015-2016)	20.4	61.1
5 (2015-2016)	42.9	35.4
6 (2015-2016)	59.8	19.3
7 (2015-2016)	77.1	-

1 (2016-2017)	-	50.6
2 (2016-2017)	-	56.5
3 (2016-2017)	-	64.4
4 (2016-2017)	15.9	49.2
5 (2016-2017)	33.4	33.0
6 (2016-2017)	48.1	17.8
7 (2016-2017)	65.1	-

1 (2017-2018)	-	47.8
2 (2017-2018)	-	52.3
3 (2017-2018)	-	63.0
4 (2017-2018)	16.8	48.5
5 (2017-2018)	35.1	32.7
6 (2017-2018)	50.0	18.7
7 (2017-2018)	67.2	-

1 (2018-2019)	-	48.6
2 (2018-2019)	-	52.3
3 (2018-2019)	-	59.6
4 (2018-2019)	16.0	49.9
5 (2018-2019)	34.2	32.6
6 (2018-2019)	48.7	19.1
7 (2018-2019)	65.3	-

1 (2019-2020)	-	55.1
2 (2019-2020)	-	59.3
3 (2019-2020)	-	66.7
4 (2019-2020)	16.1	51.8
5 (2019-2020)	32.8	35.6
6 (2019-2020)	-	-
7 (2019-2020)	-	-

1 (2020-2021)	-	61.0
2 (2020-2021)	-	-
3 (2020-2021)	-	-
4 (2020-2021)	-	-
5 (2020-2021)	-	-
6 (2020-2021)	-	-
7 (2020-2021)	-	-

["","Actual year to date","Expected full year"]

[["1 (2015-2016)","2 (2015-2016)","3 (2015-2016)","4 (2015-2016)","5 (2015-2016)","6 (2015-2016)","7 (2015-2016)","","1 (2016-2017)","2 (2016-2017)","3 (2016-2017)","4 (2016-2017)","5 (2016-2017)","6 (2016-2017)","7 (2016-2017)","","1 (2017-2018)","2 (2017-2018)","3 (2017-2018)","4 (2017-2018)","5 (2017-2018)","6 (2017-2018)","7 (2017-2018)","","1 (2018-2019)","2 (2018-2019)","3 (2018-2019)","4 (2018-2019)","5 (2018-2019)","6 (2018-2019)","7 (2018-2019)","","1 (2019-2020)","2 (2019-2020)","3 (2019-2020)","4 (2019-2020)","5 (2019-2020)","6 (2019-2020)","7 (2019-2020)","","1 (2020-2021)","2 (2020-2021)","3 (2020-2021)","4 (2020-2021)","5 (2020-2021)","6 (2020-2021)","7 (2020-2021)"],[[null],[null],[null],[20.390920300000001],[42.923763530000002],[59.820148850000002],[77.111073649999994],[null],[null],[null],[null],[15.924834479999999],[33.36451065],[48.096817469999998],[65.105237549999998],[null],[null],[null],[null],[16.814607039999999],[35.126758760000001],[50.012943200000002],[67.187416150000004],[null],[null],[null],[null],[15.964080060000001],[34.198505269999998],[48.738161730000002],[65.326293379999996],[null],[null],[null],[null],[16.10099598],[32.841737360000003],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null]],[[69.096994710000004],[70.606659129999997],[76.759149469999997],[61.092588259999999],[35.420411690000002],[19.33902454],[null],[null],[50.563107270000003],[56.541449989999997],[64.424027600000002],[49.173866699999998],[32.990590429999997],[17.769218519999999],[null],[null],[47.78310931],[52.26223555],[63.03417348],[48.54785846],[32.743118559999999],[18.734649019999999],[null],[null],[48.599573280000001],[52.278639910000003],[59.614763779999997],[49.918033880000003],[32.648633150000002],[19.131832880000001],[null],[null],[55.07663247],[59.30022185],[66.744248380000002],[51.840117909999996],[35.632876160000002],[null],[null],[null],[61.04935236],[null],[null],[null],[null],[null],[null]],[[null],[null],[null],[null],[null]]]

[]

[{"axis_id":"0","tick_interval":"","axis_min":"","axis_max":"","axis_title":"","precision":-1,"axis_units":"","tooltip_units":"","table_units":"","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]

[{"axis_id":"0","tick_interval":"20","axis_min":"0","axis_max":"140","axis_title":"$ billion","precision":"1","table_units":"($b)","tooltip_units":"(b)","axis_units":"","data_unit_prefix":"$","data_unit_suffix":"","reverse_axis":false}]

Equipment, plant and machinery

Estimate 5 for 2019-20 is $51,869m. This is 1.7% higher than Estimate 5 for 2018-19.
Estimate 1 for 2020-21 is $39,137m. This is 5.6% higher than Estimate 1 for 2019-20.

	Actual year to date ($b)	Expected full year ($b)
1 (2015-2016)	-	33.5
2 (2015-2016)	-	33.9
3 (2015-2016)	-	38.9
4 (2015-2016)	12.0	31.2
5 (2015-2016)	25.8	19.1
6 (2015-2016)	36.5	11.5
7 (2015-2016)	50.6	-

1 (2016-2017)	-	33.4
2 (2016-2017)	-	34.8
3 (2016-2017)	-	41.2
4 (2016-2017)	12.0	30.1
5 (2016-2017)	25.3	20.1
6 (2016-2017)	35.6	11.7
7 (2016-2017)	49.3	-

1 (2017-2018)	-	33.4
2 (2017-2018)	-	34.3
3 (2017-2018)	-	40.1
4 (2017-2018)	12.1	31.8
5 (2017-2018)	26.0	20.4
6 (2017-2018)	37.4	11.6
7 (2017-2018)	52.2	-

1 (2018-2019)	-	34.4
2 (2018-2019)	-	35.6
3 (2018-2019)	-	42.9
4 (2018-2019)	13.5	34.4
5 (2018-2019)	28.7	22.4
6 (2018-2019)	40.6	13.7
7 (2018-2019)	56.7	-

1 (2019-2020)	-	37.0
2 (2019-2020)	-	39.4
3 (2019-2020)	-	46.2
4 (2019-2020)	13.5	35.5
5 (2019-2020)	29.0	22.8
6 (2019-2020)	-	-
7 (2019-2020)	-	-

1 (2020-2021)	-	39.1
2 (2020-2021)	-	-
3 (2020-2021)	-	-
4 (2020-2021)	-	-
5 (2020-2021)	-	-
6 (2020-2021)	-	-
7 (2020-2021)	-	-

["","Actual year to date","Expected full year"]

[["1 (2015-2016)","2 (2015-2016)","3 (2015-2016)","4 (2015-2016)","5 (2015-2016)","6 (2015-2016)","7 (2015-2016)","","1 (2016-2017)","2 (2016-2017)","3 (2016-2017)","4 (2016-2017)","5 (2016-2017)","6 (2016-2017)","7 (2016-2017)","","1 (2017-2018)","2 (2017-2018)","3 (2017-2018)","4 (2017-2018)","5 (2017-2018)","6 (2017-2018)","7 (2017-2018)","","1 (2018-2019)","2 (2018-2019)","3 (2018-2019)","4 (2018-2019)","5 (2018-2019)","6 (2018-2019)","7 (2018-2019)","","1 (2019-2020)","2 (2019-2020)","3 (2019-2020)","4 (2019-2020)","5 (2019-2020)","6 (2019-2020)","7 (2019-2020)","","1 (2020-2021)","2 (2020-2021)","3 (2020-2021)","4 (2020-2021)","5 (2020-2021)","6 (2020-2021)","7 (2020-2021)"],[[null],[null],[null],[12.017894999999999],[25.777932159999999],[36.505894150000003],[50.580515949999999],[null],[null],[null],[null],[11.958342679999999],[25.29437489],[35.633593500000003],[49.300555750000001],[null],[null],[null],[null],[12.08822835],[26.013920540000001],[37.40342819],[52.173615400000003],[null],[null],[null],[null],[13.47622586],[28.654073279999999],[40.64400517],[56.747913130000001],[null],[null],[null],[null],[13.531065590000001],[29.031394479999999],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null]],[[33.473852579999999],[33.892517939999998],[38.944370890000002],[31.220493090000002],[19.122864740000001],[11.51740459],[null],[null],[33.374350649999997],[34.767682659999998],[41.175312409999997],[30.122022699999999],[20.105770190000001],[11.67527512],[null],[null],[33.412168889999997],[34.295272859999997],[40.070868709999999],[31.818482629999998],[20.4174489],[11.55256243],[null],[null],[34.387636010000001],[35.604626469999999],[42.864719829999999],[34.445520199999997],[22.350377730000002],[13.71241197],[null],[null],[37.044221299999997],[39.423488079999998],[46.162226390000001],[35.54125878],[22.837625979999999],[null],[null],[null],[39.136761960000001],[null],[null],[null],[null],[null],[null]],[[null],[null],[null],[null],[null]]]

[]

[{"axis_id":"0","tick_interval":"","axis_min":"","axis_max":"","axis_title":"","precision":-1,"axis_units":"","tooltip_units":"","table_units":"","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]

[{"axis_id":"0","tick_interval":"10","axis_min":"0","axis_max":"70","axis_title":"$ billion","precision":"1","table_units":"($b)","tooltip_units":"(b)","axis_units":"","data_unit_prefix":"$","data_unit_suffix":"","reverse_axis":false}]

Mining

Estimate 5 for 2019-20 is $38,447m. This is 11.4% higher than Estimate 5 for 2018-19.
Estimate 1 for 2020-21 is $38,518m. This is 28.0% higher than Estimate 1 for 2019-20

	Actual year to date ($b)	Expected full year ($b)
1 (2015-2016)	-	53.8
2 (2015-2016)	-	53.1
3 (2015-2016)	-	55.0
4 (2015-2016)	14.9	45.2
5 (2015-2016)	31.1	24.1
6 (2015-2016)	42.5	13.2
7 (2015-2016)	53.4	-

1 (2016-2017)	-	34.1
2 (2016-2017)	-	36.4
3 (2016-2017)	-	41.2
4 (2016-2017)	10.1	30.0
5 (2016-2017)	20.7	19.8
6 (2016-2017)	29.2	9.8
7 (2016-2017)	38.8	-

1 (2017-2018)	-	27.2
2 (2017-2018)	-	28.4
3 (2017-2018)	-	33.3
4 (2017-2018)	9.4	24.4
5 (2017-2018)	19.2	17.7
6 (2017-2018)	27.4	10.9
7 (2017-2018)	36.4	-

1 (2018-2019)	-	24.8
2 (2018-2019)	-	26.8
3 (2018-2019)	-	31.5
4 (2018-2019)	8.4	24.8
5 (2018-2019)	17.4	17.1
6 (2018-2019)	24.8	10.6
7 (2018-2019)	33.4	-

1 (2019-2020)	-	30.1
2 (2019-2020)	-	32.4
3 (2019-2020)	-	38.0
4 (2019-2020)	8.6	29.9
5 (2019-2020)	18.0	20.4
6 (2019-2020)	-	-
7 (2019-2020)	-	-

1 (2020-2021)	-	38.5
2 (2020-2021)	-	-
3 (2020-2021)	-	-
4 (2020-2021)	-	-
5 (2020-2021)	-	-
6 (2020-2021)	-	-
7 (2020-2021)	-	-

["","Actual year to date","Expected full year"]

[["1 (2015-2016)","2 (2015-2016)","3 (2015-2016)","4 (2015-2016)","5 (2015-2016)","6 (2015-2016)","7 (2015-2016)","","1 (2016-2017)","2 (2016-2017)","3 (2016-2017)","4 (2016-2017)","5 (2016-2017)","6 (2016-2017)","7 (2016-2017)","","1 (2017-2018)","2 (2017-2018)","3 (2017-2018)","4 (2017-2018)","5 (2017-2018)","6 (2017-2018)","7 (2017-2018)","","1 (2018-2019)","2 (2018-2019)","3 (2018-2019)","4 (2018-2019)","5 (2018-2019)","6 (2018-2019)","7 (2018-2019)","","1 (2019-2020)","2 (2019-2020)","3 (2019-2020)","4 (2019-2020)","5 (2019-2020)","6 (2019-2020)","7 (2019-2020)","","1 (2020-2021)","2 (2020-2021)","3 (2020-2021)","4 (2020-2021)","5 (2020-2021)","6 (2020-2021)","7 (2020-2021)"],[[null],[null],[null],[14.88793341],[31.114651850000001],[42.514489089999998],[53.388983770000003],[null],[null],[null],[null],[10.06870208],[20.650954989999999],[29.2421854],[38.750630350000002],[null],[null],[null],[null],[9.3654562499999994],[19.238598719999999],[27.413709749999999],[36.389209180000002],[null],[null],[null],[null],[8.4224027760000002],[17.44579787],[24.750900569999999],[33.35508214],[null],[null],[null],[null],[8.6372931679999994],[18.01565106],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null]],[[53.819863009999999],[53.057882960000001],[54.990998169999997],[45.221590900000002],[24.136108020000002],[13.18110978],[null],[null],[34.143141669999999],[36.43803149],[41.223864620000001],[30.0433868],[19.814169440000001],[9.817073165],[null],[null],[27.244299949999998],[28.427326239999999],[33.25867959],[24.361320079999999],[17.731766700000001],[10.905088790000001],[null],[null],[24.845264180000001],[26.794744999999999],[31.543641019999999],[24.765943740000001],[17.060946699999999],[10.62275202],[null],[null],[30.09119973],[32.440082619999998],[38.024679020000001],[29.862681039999998],[20.43160249],[null],[null],[null],[38.51794331],[null],[null],[null],[null],[null],[null]],[[null],[null],[null],[null],[null]]]

[]

[{"axis_id":"0","tick_interval":"","axis_min":"","axis_max":"","axis_title":"","precision":-1,"axis_units":"","tooltip_units":"","table_units":"","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]

[{"axis_id":"0","tick_interval":"20","axis_min":"0","axis_max":"140","axis_title":"$ billion","precision":"1","table_units":"($b)","tooltip_units":"(b)","axis_units":"","data_unit_prefix":"$","data_unit_suffix":"","reverse_axis":false}]

Manufacturing

Estimate 5 for 2019-20 is $9,789m. This is 2.5% higher than Estimate 5 for 2018-19.
Estimate 1 for 2020-21 is $7,831m. This is 6.8% higher than Estimate 1 for 2019-20.

	Actual year to date ($b)	Expected full year ($b)
1 (2015-2016)	-	6.0
2 (2015-2016)	-	6.4
3 (2015-2016)	-	7.9
4 (2015-2016)	2.1	6.1
5 (2015-2016)	4.5	3.8
6 (2015-2016)	6.2	2.3
7 (2015-2016)	8.6	-

1 (2016-2017)	-	6.6
2 (2016-2017)	-	7.3
3 (2016-2017)	-	8.5
4 (2016-2017)	1.9	6.4
5 (2016-2017)	4.3	4.0
6 (2016-2017)	6.4	2.4
7 (2016-2017)	8.9	-

1 (2017-2018)	-	6.5
2 (2017-2018)	-	6.7
3 (2017-2018)	-	8.4
4 (2017-2018)	2.1	6.9
5 (2017-2018)	4.8	4.3
6 (2017-2018)	6.9	2.3
7 (2017-2018)	9.5	-

1 (2018-2019)	-	6.9
2 (2018-2019)	-	7.3
3 (2018-2019)	-	8.6
4 (2018-2019)	2.3	7.3
5 (2018-2019)	5.0	4.6
6 (2018-2019)	6.9	2.7
7 (2018-2019)	9.6	-

1 (2019-2020)	-	7.3
2 (2019-2020)	-	7.8
3 (2019-2020)	-	9.3
4 (2019-2020)	2.5	7.4
5 (2019-2020)	5.1	4.7
6 (2019-2020)	-	-
7 (2019-2020)	-	-

1 (2020-2021)	-	7.8
2 (2020-2021)	-	-
3 (2020-2021)	-	-
4 (2020-2021)	-	-
5 (2020-2021)	-	-
6 (2020-2021)	-	-
7 (2020-2021)	-	-

["","Actual year to date","Expected full year"]

[["1 (2015-2016)","2 (2015-2016)","3 (2015-2016)","4 (2015-2016)","5 (2015-2016)","6 (2015-2016)","7 (2015-2016)","","1 (2016-2017)","2 (2016-2017)","3 (2016-2017)","4 (2016-2017)","5 (2016-2017)","6 (2016-2017)","7 (2016-2017)","","1 (2017-2018)","2 (2017-2018)","3 (2017-2018)","4 (2017-2018)","5 (2017-2018)","6 (2017-2018)","7 (2017-2018)","","1 (2018-2019)","2 (2018-2019)","3 (2018-2019)","4 (2018-2019)","5 (2018-2019)","6 (2018-2019)","7 (2018-2019)","","1 (2019-2020)","2 (2019-2020)","3 (2019-2020)","4 (2019-2020)","5 (2019-2020)","6 (2019-2020)","7 (2019-2020)","","1 (2020-2021)","2 (2020-2021)","3 (2020-2021)","4 (2020-2021)","5 (2020-2021)","6 (2020-2021)","7 (2020-2021)"],[[null],[null],[null],[2.094807082],[4.4723318560000003],[6.2121269520000002],[8.5657538809999991],[null],[null],[null],[null],[1.916176804],[4.3360117709999999],[6.4207259700000003],[8.8725562119999992],[null],[null],[null],[null],[2.1298330980000002],[4.8011830350000002],[6.8793426950000001],[9.4513518889999997],[null],[null],[null],[null],[2.3215118330000002],[4.9865648890000003],[6.9444033699999999],[9.5915744360000001],[null],[null],[null],[null],[2.4686912460000001],[5.0550495409999998],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null]],[[6.021036885],[6.4095078609999998],[7.9310403110000003],[6.1046445460000003],[3.7714681830000001],[2.2554686230000001],[null],[null],[6.5631219319999996],[7.2693975890000004],[8.4989578229999996],[6.4291521720000002],[4.0419396799999996],[2.3886207580000001],[null],[null],[6.474108202],[6.6703969230000002],[8.4082688749999992],[6.9227756659999997],[4.252053546],[2.2743722700000002],[null],[null],[6.8875389900000004],[7.2670696299999999],[8.5932720529999997],[7.3234496269999996],[4.5661398169999998],[2.7188518469999998],[null],[null],[7.3292523599999999],[7.7710132730000003],[9.2806341420000003],[7.3895176720000002],[4.7340873300000004],[null],[null],[null],[7.8309428719999996],[null],[null],[null],[null],[null],[null]],[[null],[null],[null],[null],[null]]]

[]

[{"axis_id":"0","tick_interval":"","axis_min":"","axis_max":"","axis_title":"","precision":-1,"axis_units":"","tooltip_units":"","table_units":"","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]

[{"axis_id":"0","tick_interval":"5","axis_min":"0","axis_max":"20","axis_title":"$ billion","precision":"1","table_units":"($b)","tooltip_units":"(b)","axis_units":"","data_unit_prefix":"$","data_unit_suffix":"","reverse_axis":false}]

Other selected industries

Estimate 5 for 2019-20 is $72,107m. This is 2.3% lower than Estimate 5 for 2018-19.
Estimate 1 for 2020-21 is $53,837m. This is 1.6% lower than Estimate 1 for 2019-20.

	Actual year to date ($b)	Expected full year ($b)
1 (2015-2016)	-	42.7
2 (2015-2016)	-	45.0
3 (2015-2016)	-	52.8
4 (2015-2016)	15.4	41.0
5 (2015-2016)	33.1	26.6
6 (2015-2016)	47.6	15.4
7 (2015-2016)	65.7	-

1 (2016-2017)	-	43.2
2 (2016-2017)	-	47.6
3 (2016-2017)	-	55.9
4 (2016-2017)	15.9	42.8
5 (2016-2017)	33.7	29.2
6 (2016-2017)	48.1	17.2
7 (2016-2017)	66.8	-

1 (2017-2018)	-	47.5
2 (2017-2018)	-	51.5
3 (2017-2018)	-	61.4
4 (2017-2018)	17.4	49.1
5 (2017-2018)	37.1	31.2
6 (2017-2018)	53.1	17.1
7 (2017-2018)	73.5	-

1 (2018-2019)	-	51.3
2 (2018-2019)	-	53.8
3 (2018-2019)	-	62.3
4 (2018-2019)	18.7	52.3
5 (2018-2019)	40.4	33.4
6 (2018-2019)	57.7	19.5
7 (2018-2019)	79.1	-

1 (2019-2020)	-	54.7
2 (2019-2020)	-	58.5
3 (2019-2020)	-	65.6
4 (2019-2020)	18.5	50.1
5 (2019-2020)	38.8	33.3
6 (2019-2020)	-	-
7 (2019-2020)	-	-

1 (2020-2021)	-	53.8
2 (2020-2021)	-	-
3 (2020-2021)	-	-
4 (2020-2021)	-	-
5 (2020-2021)	-	-
6 (2020-2021)	-	-
7 (2020-2021)	-	-

["","Actual year to date","Expected full year"]

[["1 (2015-2016)","2 (2015-2016)","3 (2015-2016)","4 (2015-2016)","5 (2015-2016)","6 (2015-2016)","7 (2015-2016)","","1 (2016-2017)","2 (2016-2017)","3 (2016-2017)","4 (2016-2017)","5 (2016-2017)","6 (2016-2017)","7 (2016-2017)","","1 (2017-2018)","2 (2017-2018)","3 (2017-2018)","4 (2017-2018)","5 (2017-2018)","6 (2017-2018)","7 (2017-2018)","","1 (2018-2019)","2 (2018-2019)","3 (2018-2019)","4 (2018-2019)","5 (2018-2019)","6 (2018-2019)","7 (2018-2019)","","1 (2019-2020)","2 (2019-2020)","3 (2019-2020)","4 (2019-2020)","5 (2019-2020)","6 (2019-2020)","7 (2019-2020)","","1 (2020-2021)","2 (2020-2021)","3 (2020-2021)","4 (2020-2021)","5 (2020-2021)","6 (2020-2021)","7 (2020-2021)"],[[null],[null],[null],[15.4260748],[33.114711970000002],[47.599426960000002],[65.736851950000002],[null],[null],[null],[null],[15.89829827],[33.671918789999999],[48.067499589999997],[66.782606729999998],[null],[null],[null],[null],[17.40754604],[37.100897539999998],[53.123318949999998],[73.52047048],[null],[null],[null],[null],[18.672391309999998],[40.396215789999999],[57.662862959999998],[79.10354993],[null],[null],[null],[null],[18.526077149999999],[38.802431239999997],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null]],[[42.7299474],[45.031786250000003],[52.78148187],[40.98684591],[26.635700230000001],[15.41985073],[null],[null],[43.231194309999999],[47.601703569999998],[55.876517569999997],[42.823350419999997],[29.240251499999999],[17.238799709999999],[null],[null],[47.476870050000002],[51.459785250000003],[61.438093729999999],[49.08224534],[31.176747219999999],[17.107750379999999],[null],[null],[51.254406109999998],[53.821451740000001],[62.342570530000003],[52.262160719999997],[33.371924370000002],[19.502640979999999],[null],[null],[54.700401679999999],[58.512614050000003],[65.601161610000005],[50.129177970000001],[33.304812320000003],[null],[null],[null],[53.83722813],[null],[null],[null],[null],[null],[null]],[[null],[null],[null],[null],[null]]]

[]

[{"axis_id":"0","tick_interval":"","axis_min":"","axis_max":"","axis_title":"","precision":-1,"axis_units":"","tooltip_units":"","table_units":"","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]

[{"axis_id":"0","tick_interval":"10","axis_min":"0","axis_max":"100","axis_title":"$ billion","precision":"1","table_units":"($b)","tooltip_units":"(b)","axis_units":"","data_unit_prefix":"$","data_unit_suffix":"","reverse_axis":false}]

Changes in this issue

From this issue (December quarter 2019), this publication will include financial year estimates and realisation ratios for the Education and Training and Health Care and Social Assistance industries. Data from these industries have been collected over the past several quarters through the Survey of New Capital Expenditure. This new series will be ongoing and will be presented in current price original data. This series is available in the Data downloads section in Table 13B and Table 13C.

Mining projects

Mining projects tend to be complex in structure and comprise a number of different investment activities including exploration, engineering construction, plant and equipment and buildings. A feature article released in the March 2012 issue of Private New Capital Expenditure and Expected Expenditure, Australia (cat. no. 5625.0) provides a summary of the conceptual basis of the relevant ABS publications that measure investment in Australia, using a hypothetical mining project to illustrate how this investment is reflected in ABS data.

Inquiries

Inquiries about these and related statistics, contact the National Information and Referral Service on 1300 135 070. The ABS Privacy Policy outlines how the ABS will handle any personal information that you provide to us.

Data downloads

Table 1A. Actual expenditure by type of asset and industry - current prices $m

Data files

Download xls [58.5 KB]

Table 1B. Expected expenditure - short term, by type of asset and industry - current prices $m

Data files

Download xls [58 KB]

Table 1C. Expected expenditure - long term, by type of asset and industry - current prices $m

Data files

Download xls [58 KB]

Table 1E. Actual expenditure, by type of asset and industry - seasonally adjusted current prices $m

Data files

Download xls [57.5 KB]

Table 1F. Actual expenditure, by type of asset and industry - trend current prices $m

Data files

Download xls [74.5 KB]

Table 2A. Actual expenditure, detailed industries - current prices $m

Data files

Download xls [322 KB]

Table 2B. Expected expenditure, short term, detailed industries - current prices $m (a)

Data files

Download xls [281 KB]

Table 2C. Expected expenditure, long term, detailed industries - current prices $m (a)

Data files

Download xls [274 KB]

Table 2E. Actual expenditure, detailed industries - seasonally adjusted current prices $m

Data files

Download xls [84 KB]

Table 2F. Actual expenditure, detailed industries - trend current prices $m

Data files

Download xls [100 KB]

Table 3A. Actual expenditure, by type of asset - chain volume measures $m

Data files

Download xls [60.5 KB]

Table 3B. Actual expenditure, by type of industry - chain volume measures $m

Data files

Download xls [66 KB]

Table 4A. Actual expenditure, by type of asset and state - current prices: original $m

Data files

Download xls [161.5 KB]

Table 4B. Actual expenditure, by type of asset and state - current prices: seasonally adjusted $m

Data files

Download xls [77.5 KB]

Table 4C. Actual expenditure, by type of asset and state - current prices: trend $m

Data files

Download xls [97.5 KB]

Table 5A. Actual expenditure, by type of asset and state - chain volume measures: original $m

Data files

Download xls [77.5 KB]

Table 5B. Actual expenditure, by type of asset and state - chain volume measures: seasonally adjusted $m

Data files

Download xls [77.5 KB]

Table 5C. Actual expenditure, by type of asset and state - chain volume measures: trend $m

Data files

Download xls [97.5 KB]

Table 6A. Actual and expected capital expenditure by asset - New South Wales: current prices $m

Data files

Download xls [247 KB]

Table 6B. Actual and expected capital expenditure by industry - New South Wales: current prices $m

Data files

Download xls [324.5 KB]

Table 7A. Actual and expected capital expenditure by asset - Victoria: current prices $m

Data files

Download xls [251 KB]

Table 7B. Actual and expected capital expenditure by industry - Victoria: current prices $m

Data files

Download xls [326 KB]

Table 8A. Actual and expected capital expenditure by asset - Queensland: current prices $m

Data files

Download xls [248 KB]

Table 8B. Actual and expected capital expenditure by industry - Queensland: current prices $m

Data files

Download xls [327 KB]

Table 9A. Actual and expected capital expenditure by asset - South Australia: current prices $m

Data files

Download xls [263 KB]

Table 9B. Actual and expected capital expenditure by industry - South Australia: current prices $m

Data files

Download xls [354 KB]

Table 10A. Actual and expected capital expenditure by asset - Western Australia: current prices $m

Data files

Download xls [249 KB]

Table 10B. Actual and expected capital expenditure by industry - Western Australia: current prices $m

Data files

Download xls [329 KB]

Table 11A. Actual and expected capital expenditure by asset - Tasmania: current prices $m

Data files

Download xls [280.5 KB]

Table 11B. Actual and expected capital expenditure by industry - Tasmania: current prices $m

Data files

Download xls [436.5 KB]

Table 12A. Financial year estimates combining actual and expected expenditure by type of asset and industry - current prices

Data files

Download xls [142 KB]

Table 12B. Realisation ratios comparing actual to expected expenditure by type of asset and industry - current prices

Data files

Download xls [115 KB]

Table 13A. Experimental estimates of education and health - actual expenditure by type of asset and state/territory - current prices

Data files

Download xls [207 KB]

Table 13B. Experimental estimates of education and health - financial year estimates combining actual and expected expenditure by type of asset and industry - current prices

Data files

Download xls [82.5 KB]

Table 13C. Experimental estimates of education and health - realisation ratios comparing actual to expected expenditure by type of asset and industry - current prices

Data files

Download xls [66 KB]

All time series spreadsheets

Data files

Download zip [1.28 MB]

Methodology

Private New Capital Expenditure and Expected Expenditure, Australia methodology, December 2019

Do you need more detailed statistics?

Request data

We can provide customised data to meet your requirements

Request a quote

Microdata and TableBuilder

We can provide access to detailed, customisable data on selected topics

View available Microdata and TableBuilder

APA

Private New Capital Expenditure and Expected Expenditure, Australia

APA

Key statistics

Main features

December key figures

December key points

Actual expenditure (volume terms)

Expected expenditure (current price terms)

Actual new capital expenditure, in volume terms

Total capital expenditure

Buildings and structures

Equipment, plant and machinery

Mining

Manufacturing

Other selected industries

Actual and expected new capital expenditure

Financial years at current prices

Total capital expenditure

Buildings and structures

Equipment, plant and machinery

Mining

Manufacturing

Other selected industries

Changes in this issue

Mining projects

Inquiries

Data downloads

Table 1A. Actual expenditure by type of asset and industry - current prices $m

Table 1B. Expected expenditure - short term, by type of asset and industry - current prices $m

Table 1C. Expected expenditure - long term, by type of asset and industry - current prices $m

Table 1E. Actual expenditure, by type of asset and industry - seasonally adjusted current prices $m

Table 1F. Actual expenditure, by type of asset and industry - trend current prices $m

Table 2A. Actual expenditure, detailed industries - current prices $m

Table 2B. Expected expenditure, short term, detailed industries - current prices $m (a)

Table 2C. Expected expenditure, long term, detailed industries - current prices $m (a)

Table 2E. Actual expenditure, detailed industries - seasonally adjusted current prices $m

Table 2F. Actual expenditure, detailed industries - trend current prices $m

Table 3A. Actual expenditure, by type of asset - chain volume measures $m

Table 3B. Actual expenditure, by type of industry - chain volume measures $m

Table 4A. Actual expenditure, by type of asset and state - current prices: original $m

Table 4B. Actual expenditure, by type of asset and state - current prices: seasonally adjusted $m

Table 4C. Actual expenditure, by type of asset and state - current prices: trend $m

Table 5A. Actual expenditure, by type of asset and state - chain volume measures: original $m

Table 5B. Actual expenditure, by type of asset and state - chain volume measures: seasonally adjusted $m

Table 5C. Actual expenditure, by type of asset and state - chain volume measures: trend $m

Table 6A. Actual and expected capital expenditure by asset - New South Wales: current prices $m

Table 6B. Actual and expected capital expenditure by industry - New South Wales: current prices $m

Table 7A. Actual and expected capital expenditure by asset - Victoria: current prices $m

Table 7B. Actual and expected capital expenditure by industry - Victoria: current prices $m

Table 8A. Actual and expected capital expenditure by asset - Queensland: current prices $m

Table 8B. Actual and expected capital expenditure by industry - Queensland: current prices $m

Table 9A. Actual and expected capital expenditure by asset - South Australia: current prices $m

Table 9B. Actual and expected capital expenditure by industry - South Australia: current prices $m

Table 10A. Actual and expected capital expenditure by asset - Western Australia: current prices $m

Table 10B. Actual and expected capital expenditure by industry - Western Australia: current prices $m

Table 11A. Actual and expected capital expenditure by asset - Tasmania: current prices $m

Table 11B. Actual and expected capital expenditure by industry - Tasmania: current prices $m

Table 12A. Financial year estimates combining actual and expected expenditure by type of asset and industry - current prices

Table 12B. Realisation ratios comparing actual to expected expenditure by type of asset and industry - current prices

Table 13A. Experimental estimates of education and health - actual expenditure by type of asset and state/territory - current prices

Table 13B. Experimental estimates of education and health - financial year estimates combining actual and expected expenditure by type of asset and industry - current prices

Table 13C. Experimental estimates of education and health - realisation ratios comparing actual to expected expenditure by type of asset and industry - current prices

All time series spreadsheets

Methodology

Do you need more detailed statistics?

Request data

Microdata and TableBuilder