Monthly Household Spending Indicator

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Experimental indicator of household spending using bank transactions data

Reference period

June 2022

Released

9/08/2022

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Key statistics

Household spending increased 10.2% through the year, current price, calendar adjusted.
Through the year, household spending increased for both services (+15.9%) and goods (+5.0%).
Through the year, both discretionary (+10.8%) and non-discretionary (+9.8%) spending increased.

Household spending, current price, calendar adjusted (indexed to January 2019)
	Index	Monthly (%)	Through the year (%)
Jan-2019	100
Feb-2019	104.1	4.1
Mar-2019	105.1	1
Apr-2019	105.6	0.5
May-2019	107.2	1.5
Jun-2019	109.5	2.1
Jul-2019	107.5	-1.8
Aug-2019	110.1	2.4
Sep-2019	109.1	-0.9
Oct-2019	111.4	2.1
Nov-2019	116.3	4.4
Dec-2019	126	8.3
Jan-2020	106.5	-15.5	6.5
Feb-2020	105.2	-1.2	1.1
Mar-2020	98.9	-6	-5.9
Apr-2020	72.1	-27.1	-31.7
May-2020	86.4	19.8	-19.4
Jun-2020	95.2	10.2	-13.1
Jul-2020	98.3	3.3	-8.6
Aug-2020	94.5	-3.9	-14.2
Sep-2020	98	3.7	-10.2
Oct-2020	100.4	2.4	-9.9
Nov-2020	115.2	14.7	-0.9
Dec-2020	125.1	8.6	-0.7
Jan-2021	100.6	-19.6	-5.5
Feb-2021	103.2	2.6	-1.9
Mar-2021	107.9	4.6	9.1
Apr-2021	106.8	-1	48.1
May-2021	108.6	1.7	25.7
Jun-2021	110	1.3	15.5
Jul-2021	101.9	-7.4	3.7
Aug-2021	98.3	-3.5	4
Sep-2021	102.3	4.1	4.4
Oct-2021	108.9	6.5	8.5
Nov-2021	125.6	15.3	9
Dec-2021	130.6	4	4.4
Jan-2022	106.7	-18.3	6.1
Feb-2022	114.7	7.5	11.1
Mar-2022	117.1	2.1	8.5
Apr-2022	117.1	0	9.6
May-2022	117.3	0.2	8
Jun-2022	121.2	3.3	10.2

Household spending, current price, calendar adjusted (indexed to January 2019)

["","Index","Monthly","Through the year"]

[["Jan-2019","Feb-2019","Mar-2019","Apr-2019","May-2019","Jun-2019","Jul-2019","Aug-2019","Sep-2019","Oct-2019","Nov-2019","Dec-2019","Jan-2020","Feb-2020","Mar-2020","Apr-2020","May-2020","Jun-2020","Jul-2020","Aug-2020","Sep-2020","Oct-2020","Nov-2020","Dec-2020","Jan-2021","Feb-2021","Mar-2021","Apr-2021","May-2021","Jun-2021","Jul-2021","Aug-2021","Sep-2021","Oct-2021","Nov-2021","Dec-2021","Jan-2022","Feb-2022","Mar-2022","Apr-2022","May-2022","Jun-2022"],[[100],[104.09999999999999],[105.09999999999999],[105.59999999999999],[107.2],[109.5],[107.5],[110.09999999999999],[109.09999999999999],[111.40000000000001],[116.3],[126],[106.5],[105.2],[98.900000000000006],[72.099999999999994],[86.400000000000006],[95.200000000000003],[98.299999999999997],[94.5],[98],[100.40000000000001],[115.2],[125.09999999999999],[100.59999999999999],[103.2],[107.90000000000001],[106.8],[108.59999999999999],[110],[101.90000000000001],[98.299999999999997],[102.3],[108.90000000000001],[125.59999999999999],[130.59999999999999],[106.7],[114.7],[117.09999999999999],[117.09999999999999],[117.3],[121.2]],[[null],[4.0999999999999996],[1],[0.5],[1.5],[2.1000000000000001],[-1.8],[2.3999999999999999],[-0.90000000000000002],[2.1000000000000001],[4.4000000000000004],[8.3000000000000007],[-15.5],[-1.2],[-6],[-27.100000000000001],[19.800000000000001],[10.199999999999999],[3.2999999999999998],[-3.8999999999999999],[3.7000000000000002],[2.3999999999999999],[14.699999999999999],[8.5999999999999996],[-19.600000000000001],[2.6000000000000001],[4.5999999999999996],[-1],[1.7],[1.3],[-7.4000000000000004],[-3.5],[4.0999999999999996],[6.5],[15.300000000000001],[4],[-18.300000000000001],[7.5],[2.1000000000000001],[0],[0.20000000000000001],[3.2999999999999998]],[[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[6.5],[1.1000000000000001],[-5.9000000000000004],[-31.699999999999999],[-19.399999999999999],[-13.1],[-8.5999999999999996],[-14.199999999999999],[-10.199999999999999],[-9.9000000000000004],[-0.90000000000000002],[-0.69999999999999996],[-5.5],[-1.8999999999999999],[9.0999999999999996],[48.100000000000001],[25.699999999999999],[15.5],[3.7000000000000002],[4],[4.4000000000000004],[8.5],[9],[4.4000000000000004],[6.0999999999999996],[11.1],[8.5],[9.5999999999999996],[8],[10.199999999999999]]]

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Index reference period January 2019 = 100.0

Indicator estimates are produced in current price original and current price calendar adjusted terms. Calendar adjusted estimates account for trading day impacts and length of month. As the indicator time series lengthens, seasonally adjusted estimates will become available. Until such time, it is advised to focus on the through the year movements. Through the year movements measure change in the current month compared to the same month in the previous year.

Through the year spending

Household spending through the year by category, current price, calendar adjusted
	Apr-2022 (%)	May-2022 (%)	Jun-2022 (%)
Food	8	3.1	1.8
Alcoholic beverages and tobacco	3.6	1.5	0.9
Clothing and footwear	10.9	7.8	16.3
Furnishings and household equipment	15.6	10	1.1
Health	-1.3	0.8	0.8
Transport	11.9	14.7	22.7
Recreation and culture	8.7	10	15.5
Hotels, cafes and restaurants	15.8	10.4	17.1
Miscellaneous goods and services	16.5	12.9	14.4
Total	9.6	8	10.2

Household spending through the year by category, current price, calendar adjusted

["","Apr-2022","May-2022","Jun-2022"]

[["Food","Alcoholic beverages and tobacco","Clothing and footwear","Furnishings and household equipment","Health","Transport","Recreation and culture","Hotels, cafes and restaurants","Miscellaneous goods and services","Total"],[[8],[3.6000000000000001],[10.9],[15.6],[-1.3],[11.9],[8.6999999999999993],[15.800000000000001],[16.5],[9.5999999999999996]],[[3.1000000000000001],[1.5],[7.7999999999999998],[10],[0.80000000000000004],[14.699999999999999],[10],[10.4],[12.9],[8]],[[1.8],[0.90000000000000002],[16.300000000000001],[1.1000000000000001],[0.80000000000000004],[22.699999999999999],[15.5],[17.100000000000001],[14.4],[10.199999999999999]]]

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Through the year household spending increased in all nine spending categories. The largest increases were in:

transport (+22.7%)
hotels, cafes and restaurants (+17.1%)
clothing and footwear (+16.3%).

Goods and services spending

Household spending on goods and services, current price, calendar adjusted
	Goods - Index	Services - Index	Goods - Through the year change (%)	Services - Through the year change (%)
Jan-2019	100	100
Feb-2019	100.3	107.6
Mar-2019	101.8	108.1
Apr-2019	102.3	108.7
May-2019	102.6	111.4
Jun-2019	107	111.9
Jul-2019	102.7	111.9
Aug-2019	105.8	114
Sep-2019	106.3	111.6
Oct-2019	110.1	112.6
Nov-2019	119.1	113.7
Dec-2019	140.7	112.5
Jan-2020	104.6	108.2	4.6	8.2
Feb-2020	102.1	108	1.8	0.4
Mar-2020	112.3	86.7	10.3	-19.8
Apr-2020	95.4	50.8	-6.7	-53.3
May-2020	113.6	61.3	10.7	-45
Jun-2020	117.7	74.5	10	-33.4
Jul-2020	118.1	80.2	15	-28.3
Aug-2020	112.6	77.9	6.4	-31.7
Sep-2020	113.5	83.8	6.8	-24.9
Oct-2020	115.8	86.2	5.2	-23.4
Nov-2020	136.8	95.5	14.9	-16
Dec-2020	153.9	98.7	9.4	-12.3
Jan-2021	112.7	89.4	7.7	-17.4
Feb-2021	110.8	96.3	8.5	-10.8
Mar-2021	113.6	102.7	1.2	18.5
Apr-2021	112.3	101.8	17.7	100.4
May-2021	114.5	103.2	0.8	68.4
Jun-2021	118.6	102	0.8	36.9
Jul-2021	113.1	91.7	-4.2	14.3
Aug-2021	111.1	86.5	-1.3	11
Sep-2021	115.6	90.1	1.9	7.5
Oct-2021	123.2	95.7	6.4	11
Nov-2021	144.8	108	5.8	13.1
Dec-2021	157.9	105.6	2.6	7
Jan-2022	118.9	95.4	5.5	6.7
Feb-2022	121	109	9.2	13.2
Mar-2022	121.3	113.2	6.8	10.2
Apr-2022	123.4	111.2	9.9	9.2
May-2022	121.1	113.9	5.8	10.4
Jun-2022	124.5	118.2	5	15.9

Household spending on goods and services, current price, calendar adjusted

["","Goods - Index","Services - Index","Goods - Through the year change","Services - Through the year change"]

[["Jan-2019","Feb-2019","Mar-2019","Apr-2019","May-2019","Jun-2019","Jul-2019","Aug-2019","Sep-2019","Oct-2019","Nov-2019","Dec-2019","Jan-2020","Feb-2020","Mar-2020","Apr-2020","May-2020","Jun-2020","Jul-2020","Aug-2020","Sep-2020","Oct-2020","Nov-2020","Dec-2020","Jan-2021","Feb-2021","Mar-2021","Apr-2021","May-2021","Jun-2021","Jul-2021","Aug-2021","Sep-2021","Oct-2021","Nov-2021","Dec-2021","Jan-2022","Feb-2022","Mar-2022","Apr-2022","May-2022","Jun-2022"],[[100],[100.3],[101.8],[102.3],[102.59999999999999],[107],[102.7],[105.8],[106.3],[110.09999999999999],[119.09999999999999],[140.69999999999999],[104.59999999999999],[102.09999999999999],[112.3],[95.400000000000006],[113.59999999999999],[117.7],[118.09999999999999],[112.59999999999999],[113.5],[115.8],[136.80000000000001],[153.90000000000001],[112.7],[110.8],[113.59999999999999],[112.3],[114.5],[118.59999999999999],[113.09999999999999],[111.09999999999999],[115.59999999999999],[123.2],[144.80000000000001],[157.90000000000001],[118.90000000000001],[121],[121.3],[123.40000000000001],[121.09999999999999],[124.5]],[[100],[107.59999999999999],[108.09999999999999],[108.7],[111.40000000000001],[111.90000000000001],[111.90000000000001],[114],[111.59999999999999],[112.59999999999999],[113.7],[112.5],[108.2],[108],[86.700000000000003],[50.799999999999997],[61.299999999999997],[74.5],[80.200000000000003],[77.900000000000006],[83.799999999999997],[86.200000000000003],[95.5],[98.700000000000003],[89.400000000000006],[96.299999999999997],[102.7],[101.8],[103.2],[102],[91.700000000000003],[86.5],[90.099999999999994],[95.700000000000003],[108],[105.59999999999999],[95.400000000000006],[109],[113.2],[111.2],[113.90000000000001],[118.2]],[[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[4.5999999999999996],[1.8],[10.300000000000001],[-6.7000000000000002],[10.699999999999999],[10],[15],[6.4000000000000004],[6.7999999999999998],[5.2000000000000002],[14.9],[9.4000000000000004],[7.7000000000000002],[8.5],[1.2],[17.699999999999999],[0.80000000000000004],[0.80000000000000004],[-4.2000000000000002],[-1.3],[1.8999999999999999],[6.4000000000000004],[5.7999999999999998],[2.6000000000000001],[5.5],[9.1999999999999993],[6.7999999999999998],[9.9000000000000004],[5.7999999999999998],[5]],[[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[8.1999999999999993],[0.40000000000000002],[-19.800000000000001],[-53.299999999999997],[-45],[-33.399999999999999],[-28.300000000000001],[-31.699999999999999],[-24.899999999999999],[-23.399999999999999],[-16],[-12.300000000000001],[-17.399999999999999],[-10.800000000000001],[18.5],[100.40000000000001],[68.400000000000006],[36.899999999999999],[14.300000000000001],[11],[7.5],[11],[13.1],[7],[6.7000000000000002],[13.199999999999999],[10.199999999999999],[9.1999999999999993],[10.4],[15.9]]]

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Through the year, household spending on:

services rose 15.9%, driven by increased spending on transport and recreational services.
goods rose 5.0%, driven by rises in clothing and footwear.

Discretionary and non-discretionary spending

Household discretionary and non-discretionary spending, current price, calendar adjusted
	Discretionary - Index	Non Discretionary - Index	Discretionary - Through the year change (%)	Non Discretionary - Through the year change (%)
Jan-2019	100	100
Feb-2019	101.2	106.8
Mar-2019	102.4	107.5
Apr-2019	104	107.1
May-2019	104.3	109.8
Jun-2019	111.1	108.1
Jul-2019	107	107.9
Aug-2019	108.5	111.5
Sep-2019	108.1	109.9
Oct-2019	110.6	112.1
Nov-2019	119.7	113.3
Dec-2019	140.3	113.2
Jan-2020	107.3	105.8	7.3	5.8
Feb-2020	103.3	106.8	2.1	0
Mar-2020	94.6	102.8	-7.6	-4.4
Apr-2020	75.3	69.3	-27.6	-35.3
May-2020	94.4	79.2	-9.5	-27.9
Jun-2020	103	88.2	-7.3	-18.4
Jul-2020	104.7	92.6	-2.1	-14.2
Aug-2020	98.5	91	-9.2	-18.4
Sep-2020	101.9	94.5	-5.7	-14
Oct-2020	104.4	96.8	-5.6	-13.6
Nov-2020	128.3	103.5	7.2	-8.6
Dec-2020	144.1	108	2.7	-4.6
Jan-2021	106.7	95.1	-0.6	-10.1
Feb-2021	106	100.7	2.6	-5.7
Mar-2021	110.2	105.8	16.5	2.9
Apr-2021	110.7	103.4	47	49.2
May-2021	110.9	106.6	17.5	34.6
Jun-2021	115.3	105.1	11.9	19.2
Jul-2021	104.8	99.4	0.1	7.3
Aug-2021	99.6	97	1.1	6.6
Sep-2021	105.4	99.5	3.4	5.3
Oct-2021	114.2	104.1	9.4	7.5
Nov-2021	140.2	112.5	9.3	8.7
Dec-2021	149.4	113.7	3.7	5.3
Jan-2022	111.8	102.1	4.8	7.4
Feb-2022	118	111.8	11.3	11
Mar-2022	120.4	114.1	9.3	7.8
Apr-2022	123.3	111.5	11.4	7.8
May-2022	121	114	9.1	6.9
Jun-2022	127.7	115.4	10.8	9.8

Household discretionary and non-discretionary spending, current price, calendar adjusted

["","Discretionary - Index","Non Discretionary - Index","Discretionary - Through the year change","Non Discretionary - Through the year change"]

[["Jan-2019","Feb-2019","Mar-2019","Apr-2019","May-2019","Jun-2019","Jul-2019","Aug-2019","Sep-2019","Oct-2019","Nov-2019","Dec-2019","Jan-2020","Feb-2020","Mar-2020","Apr-2020","May-2020","Jun-2020","Jul-2020","Aug-2020","Sep-2020","Oct-2020","Nov-2020","Dec-2020","Jan-2021","Feb-2021","Mar-2021","Apr-2021","May-2021","Jun-2021","Jul-2021","Aug-2021","Sep-2021","Oct-2021","Nov-2021","Dec-2021","Jan-2022","Feb-2022","Mar-2022","Apr-2022","May-2022","Jun-2022"],[[100],[101.2],[102.40000000000001],[104],[104.3],[111.09999999999999],[107],[108.5],[108.09999999999999],[110.59999999999999],[119.7],[140.30000000000001],[107.3],[103.3],[94.599999999999994],[75.299999999999997],[94.400000000000006],[103],[104.7],[98.5],[101.90000000000001],[104.40000000000001],[128.30000000000001],[144.09999999999999],[106.7],[106],[110.2],[110.7],[110.90000000000001],[115.3],[104.8],[99.599999999999994],[105.40000000000001],[114.2],[140.19999999999999],[149.40000000000001],[111.8],[118],[120.40000000000001],[123.3],[121],[127.7]],[[100],[106.8],[107.5],[107.09999999999999],[109.8],[108.09999999999999],[107.90000000000001],[111.5],[109.90000000000001],[112.09999999999999],[113.3],[113.2],[105.8],[106.8],[102.8],[69.299999999999997],[79.200000000000003],[88.200000000000003],[92.599999999999994],[91],[94.5],[96.799999999999997],[103.5],[108],[95.099999999999994],[100.7],[105.8],[103.40000000000001],[106.59999999999999],[105.09999999999999],[99.400000000000006],[97],[99.5],[104.09999999999999],[112.5],[113.7],[102.09999999999999],[111.8],[114.09999999999999],[111.5],[114],[115.40000000000001]],[[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[7.2999999999999998],[2.1000000000000001],[-7.5999999999999996],[-27.600000000000001],[-9.5],[-7.2999999999999998],[-2.1000000000000001],[-9.1999999999999993],[-5.7000000000000002],[-5.5999999999999996],[7.2000000000000002],[2.7000000000000002],[-0.59999999999999998],[2.6000000000000001],[16.5],[47],[17.5],[11.9],[0.10000000000000001],[1.1000000000000001],[3.3999999999999999],[9.4000000000000004],[9.3000000000000007],[3.7000000000000002],[4.7999999999999998],[11.300000000000001],[9.3000000000000007],[11.4],[9.0999999999999996],[10.800000000000001]],[[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[5.7999999999999998],[0],[-4.4000000000000004],[-35.299999999999997],[-27.899999999999999],[-18.399999999999999],[-14.199999999999999],[-18.399999999999999],[-14],[-13.6],[-8.5999999999999996],[-4.5999999999999996],[-10.1],[-5.7000000000000002],[2.8999999999999999],[49.200000000000003],[34.600000000000001],[19.199999999999999],[7.2999999999999998],[6.5999999999999996],[5.2999999999999998],[7.5],[8.6999999999999993],[5.2999999999999998],[7.4000000000000004],[11],[7.7999999999999998],[7.7999999999999998],[6.9000000000000004],[9.8000000000000007]]]

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Through the year:

discretionary household spending rose 10.8%, driven by spending in recreation and culture.
non-discretionary household spending rose 9.8%, driven by spending on transport.

State and territory spending

State household spending through the year, current price, calendar adjusted
	Apr-2022 (%)	May-2022 (%)	Jun-2022 (%)
NSW	9.1	6.7	7.7
Vic.	8.5	9.2	11.8
Qld	13.7	10.6	12.4
SA	12.1	10.6	10.1
WA	10	5.9	9.7
Tas.	9	6.9	10.8
NT	5.3	5.2	7.6
ACT	4.6	3.4	3.1

State household spending through the year, current price, calendar adjusted

["","Apr-2022","May-2022","Jun-2022"]

[["NSW","Vic.","Qld","SA","WA","Tas.","NT","ACT"],[[9.0999999999999996],[8.5],[13.699999999999999],[12.1],[10],[9],[5.2999999999999998],[4.5999999999999996]],[[6.7000000000000002],[9.1999999999999993],[10.6],[10.6],[5.9000000000000004],[6.9000000000000004],[5.2000000000000002],[3.3999999999999999]],[[7.7000000000000002],[11.800000000000001],[12.4],[10.1],[9.6999999999999993],[10.800000000000001],[7.5999999999999996],[3.1000000000000001]]]

[]

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Household spending increased through the year for all states and territories. The strongest increases were in:

Queensland (+12.4%)
Victoria (+11.8%)
Tasmania (+10.8%).

In Queensland, the strongest household spending categories through the year were:

hotels, cafes and restaurants (+25.6%)
miscellaneous goods and services (+25.5%)
clothing and footwear (+24.0%).

In Victoria, the strongest household spending categories through the year were:

transport (+29.4%)
clothing and footwear (+23.2%)
recreation and culture (+23.0%).

In Tasmania, the strongest household spending categories through the year were:

hotels, cafes and restaurants (+27.0%)
transport (+25.1%)
furnishings and household equipment (+20.0%).

State household spending through the year by category, current price, calendar adjusted (%)
	NSW	Vic.	Qld	SA	WA	Tas.	NT	ACT
Food	1.7	0.9	2.7	7.2	-0.1	7.8	-11.9	-3.2
Alcoholic beverages and tobacco	1.5	-5.3	9.1	2.3	3.0	-0.6	9.8	-14.3
Clothing and footwear	11.0	23.2	24.0	2.4	21.8	4.2	7.6	-12.3
Furnishings and household equipment	-6.0	2.6	3.0	13.4	2.0	20.0	9.9	-17.5
Health	2.5	0.4	-1.6	1.4	2.6	-7.3	4.5	-6.9
Transport	17.0	29.4	23.2	21.2	23.7	25.1	26.4	19.3
Recreation and culture	16.0	23.0	12.3	6.8	9.0	4.2	10.1	9.4
Hotels, cafes and restaurants	9.2	22.0	25.6	17.6	10.4	27.0	-2.5	6.4
Miscellaneous goods and services	8.7	8.6	25.5	14.1	19.6	12.4	23.2	15.6
Total	7.7	11.8	12.4	10.1	9.7	10.8	7.6	3.1

State household spending through the year by goods/services, current price, calendar adjusted (%)
	NSW	Vic.	Qld	SA	WA	Tas.	NT	ACT
Goods	2.7	5.3	7.7	7.0	5.6	4.8	-0.5	-6.3
Services	12.9	19.5	17.3	13.3	14.1	17.1	13.4	11.4

State household discretionary/non-discretionary spending, through the year, current price, calendar adjusted (%)
	NSW	Vic.	Qld	SA	WA	Tas.	NT	ACT
Discretionary	7.0	12.9	14.5	9.4	9.9	9.3	9.9	0.2
Non Discretionary	8.4	10.6	10.6	10.8	9.5	12.3	5.3	5.5

Data downloads

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Monthly Household Spending Indicator Data Cubes

Includes index numbers, monthly percentage changes and through the year percentage changes.

Data files

Table 1. Experimental estimates of Household Spending, Australia
Download xlsx [97.94 KB]
Table 2. Experimental estimates of Household Spending, New South Wales
Download xlsx [99.67 KB]
Table 3. Experimental estimates of Household Spending, Victoria
Download xlsx [99.71 KB]
Table 4. Experimental estimates of Household Spending, Queensland
Download xlsx [99.37 KB]
Table 5. Experimental estimates of Household Spending, South Australia
Download xlsx [99.41 KB]
Table 6. Experimental estimates of Household Spending, Western Australia
Download xlsx [99.35 KB]
Table 7. Experimental estimates of Household Spending, Tasmania
Download xlsx [99.37 KB]
Table 8. Experimental estimates of Household Spending, Northern Territory
Download xlsx [99.42 KB]
Table 9. Experimental estimates of Household Spending, Australian Capital Territory
Download xlsx [99.57 KB]

Revisions and future development

Updates to source data have resulted in some revisions to the outputs.

The new experimental monthly household spending indicator uses new and innovative methodologies to produce indicators of household spending based on bank transactions data.

The ABS is continuing to assess and refine the monthly household spending indicator methodologies and welcomes comments on the usefulness of these estimates.

The ABS is able to provide technical advice on using the monthly household spending indicator estimates, and its coherence with other ABS estimates such as Monthly Retail Trade and the National Accounts.

The ABS welcomes comments on the usefulness of these estimates. If you would like to provide feedback or request technical advice, please email national.accounts@abs.gov.au.

Acknowledgement

The ABS would like to acknowledge the ongoing support of the participating banks that have enabled the ABS to produce these statistics.

Methodology

Monthly Household Spending Indicator methodology, June 2022

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APA

Citation

Monthly Household Spending Indicator

APA

Citation

Key statistics

Through the year spending

Goods and services spending

Discretionary and non-discretionary spending

State and territory spending

Data downloads

Monthly Household Spending Indicator Data Cubes

Table 1. Experimental estimates of Household Spending, Australia

Table 2. Experimental estimates of Household Spending, New South Wales

Table 3. Experimental estimates of Household Spending, Victoria

Table 4. Experimental estimates of Household Spending, Queensland

Table 5. Experimental estimates of Household Spending, South Australia

Table 6. Experimental estimates of Household Spending, Western Australia

Table 7. Experimental estimates of Household Spending, Tasmania

Table 8. Experimental estimates of Household Spending, Northern Territory

Table 9. Experimental estimates of Household Spending, Australian Capital Territory

Revisions and future development

Acknowledgement

Methodology

Do you need more detailed statistics?

Request data

Microdata and TableBuilder

Provide feedback

APA

Monthly Household Spending Indicator

APA

Key statistics

Through the year spending

Goods and services spending

Discretionary and non-discretionary spending

State and territory spending

Data downloads

Monthly Household Spending Indicator Data Cubes

Table 1. Experimental estimates of Household Spending, Australia

Table 2. Experimental estimates of Household Spending, New South Wales

Table 3. Experimental estimates of Household Spending, Victoria

Table 4. Experimental estimates of Household Spending, Queensland

Table 5. Experimental estimates of Household Spending, South Australia

Table 6. Experimental estimates of Household Spending, Western Australia

Table 7. Experimental estimates of Household Spending, Tasmania

Table 8. Experimental estimates of Household Spending, Northern Territory

Table 9. Experimental estimates of Household Spending, Australian Capital Territory

Revisions and future development

Acknowledgement

Methodology

Media releases

Household spending continued to rise in June

Do you need more detailed statistics?

Request data

Microdata and TableBuilder