Monthly Household Spending Indicator

This is not the latest release View the latest release

Experimental indicator of household spending using bank transactions data

Reference period

May 2022

Released

12/07/2022

View all releases

Key statistics

Household spending increased 7.9% through the year, current price, calendar adjusted.
Through the year, household spending increased for both goods (+5.7%) and services (+10.2%).
Through the year, both discretionary (+8.9%) and non-discretionary (+6.8%) spending increased.

Household spending, current price, calendar adjusted (indexed to January 2019)
	Index	Monthly	Through the year
Jan-2019	100
Feb-2019	104.2	4.2
Mar-2019	105.1	0.9
Apr-2019	105.6	0.5
May-2019	107.2	1.5
Jun-2019	109.6	2.2
Jul-2019	107.5	-1.9
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
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	115.3	14.8	-0.9
Dec-2020	125.1	8.5	-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	102	-7.3	3.8
Aug-2021	98.3	-3.6	4
Sep-2021	102.3	4.1	4.4
Oct-2021	108.9	6.5	8.5
Nov-2021	125.6	15.3	8.9
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	117.2	0.1	7.9

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"],[[100],[104.2],[105.09999999999999],[105.59999999999999],[107.2],[109.59999999999999],[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],[115.3],[125.09999999999999],[100.59999999999999],[103.2],[107.90000000000001],[106.8],[108.59999999999999],[110],[102],[98.299999999999997],[102.3],[108.90000000000001],[125.59999999999999],[130.59999999999999],[106.7],[114.7],[117.09999999999999],[117.09999999999999],[117.2]],[[null],[4.2000000000000002],[0.90000000000000002],[0.5],[1.5],[2.2000000000000002],[-1.8999999999999999],[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],[14.800000000000001],[8.5],[-19.600000000000001],[2.6000000000000001],[4.5999999999999996],[-1],[1.7],[1.3],[-7.2999999999999998],[-3.6000000000000001],[4.0999999999999996],[6.5],[15.300000000000001],[4],[-18.300000000000001],[7.5],[2.1000000000000001],[0],[0.10000000000000001]],[[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[6.5],[1],[-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],[3.7999999999999998],[4],[4.4000000000000004],[8.5],[8.9000000000000004],[4.4000000000000004],[6.0999999999999996],[11.1],[8.5],[9.5999999999999996],[7.9000000000000004]]]

[]

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

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

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.

This release of the indicator includes four new series: Good, Services, Discretionary spending and Non-discretionary spending. To see more information about these new series, please refer to the attached information paper.

Through the year spending

Household spending through the year by category, current price, calendar adjusted
	Mar-2022	Apr-2022	May-2022
Food	3.5	8	3
Alcoholic beverages and tobacco	-3.4	3.6	1.4
Clothing and footwear	11.9	10.8	7.8
Furnishings and household equipment	12	15.7	9.8
Health	-1.1	-1.3	0.7
Transport	20	11.9	14.5
Recreation and culture	10.7	8.7	10
Hotels, cafes and restaurants	10.8	15.8	10.3
Miscellaneous goods and services	11.1	16.5	12.6
Total	8.5	9.6	7.9

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

["","Mar-2022","Apr-2022","May-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"],[[3.5],[-3.3999999999999999],[11.9],[12],[-1.1000000000000001],[20],[10.699999999999999],[10.800000000000001],[11.1],[8.5]],[[8],[3.6000000000000001],[10.800000000000001],[15.699999999999999],[-1.3],[11.9],[8.6999999999999993],[15.800000000000001],[16.5],[9.5999999999999996]],[[3],[1.3999999999999999],[7.7999999999999998],[9.8000000000000007],[0.69999999999999996],[14.5],[10],[10.300000000000001],[12.6],[7.9000000000000004]]]

[]

[{"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}]

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

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

transport (+14.5%)
miscellaneous goods and services (+12.6%)
hotels, cafes and restaurants (+10.3%).

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-19	100	100
Feb-19	100.4	107.6
Mar-19	101.8	108.1
Apr-19	102.3	108.7
May-19	102.6	111.4
Jun-19	107.1	111.9
Jul-19	102.7	111.9
Aug-19	105.8	114.1
Sep-19	106.3	111.6
Oct-19	110.1	112.6
Nov-19	119.2	113.7
Dec-19	140.8	112.5
Jan-20	104.6	108.2	4.6	8.2
Feb-20	102.1	108	1.7	0.4
Mar-20	112.3	86.7	10.3	-19.8
Apr-20	95.4	50.8	-6.7	-53.3
May-20	113.7	61.3	10.8	-45
Jun-20	117.7	74.5	9.9	-33.4
Jul-20	118.1	80.2	15	-28.3
Aug-20	112.6	77.9	6.4	-31.7
Sep-20	113.5	83.8	6.8	-24.9
Oct-20	115.8	86.2	5.2	-23.4
Nov-20	136.8	95.5	14.8	-16
Dec-20	153.9	98.7	9.3	-12.3
Jan-21	112.8	89.4	7.8	-17.4
Feb-21	110.8	96.3	8.5	-10.8
Mar-21	113.6	102.7	1.2	18.5
Apr-21	112.3	101.8	17.7	100.4
May-21	114.5	103.2	0.7	68.4
Jun-21	118.6	102	0.8	36.9
Jul-21	113.1	91.7	-4.2	14.3
Aug-21	111.1	86.5	-1.3	11
Sep-21	115.6	90.1	1.9	7.5
Oct-21	123.2	95.7	6.4	11
Nov-21	144.8	108	5.8	13.1
Dec-21	157.9	105.6	2.6	7
Jan-22	119	95.5	5.5	6.8
Feb-22	121	109	9.2	13.2
Mar-22	121.3	113.2	6.8	10.2
Apr-22	123.5	111.3	10	9.3
May-22	121	113.7	5.7	10.2

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-19","Feb-19","Mar-19","Apr-19","May-19","Jun-19","Jul-19","Aug-19","Sep-19","Oct-19","Nov-19","Dec-19","Jan-20","Feb-20","Mar-20","Apr-20","May-20","Jun-20","Jul-20","Aug-20","Sep-20","Oct-20","Nov-20","Dec-20","Jan-21","Feb-21","Mar-21","Apr-21","May-21","Jun-21","Jul-21","Aug-21","Sep-21","Oct-21","Nov-21","Dec-21","Jan-22","Feb-22","Mar-22","Apr-22","May-22"],[[100],[100.40000000000001],[101.8],[102.3],[102.59999999999999],[107.09999999999999],[102.7],[105.8],[106.3],[110.09999999999999],[119.2],[140.80000000000001],[104.59999999999999],[102.09999999999999],[112.3],[95.400000000000006],[113.7],[117.7],[118.09999999999999],[112.59999999999999],[113.5],[115.8],[136.80000000000001],[153.90000000000001],[112.8],[110.8],[113.59999999999999],[112.3],[114.5],[118.59999999999999],[113.09999999999999],[111.09999999999999],[115.59999999999999],[123.2],[144.80000000000001],[157.90000000000001],[119],[121],[121.3],[123.5],[121]],[[100],[107.59999999999999],[108.09999999999999],[108.7],[111.40000000000001],[111.90000000000001],[111.90000000000001],[114.09999999999999],[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],[95.5],[109],[113.2],[111.3],[113.7]],[[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[4.5999999999999996],[1.7],[10.300000000000001],[-6.7000000000000002],[10.800000000000001],[9.9000000000000004],[15],[6.4000000000000004],[6.7999999999999998],[5.2000000000000002],[14.800000000000001],[9.3000000000000007],[7.7999999999999998],[8.5],[1.2],[17.699999999999999],[0.69999999999999996],[0.80000000000000004],[-4.2000000000000002],[-1.3],[1.8999999999999999],[6.4000000000000004],[5.7999999999999998],[2.6000000000000001],[5.5],[9.1999999999999993],[6.7999999999999998],[10],[5.7000000000000002]],[[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],[6.7999999999999998],[13.199999999999999],[10.199999999999999],[9.3000000000000007],[10.199999999999999]]]

[]

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

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

Through the year, household spending on:

services rose 10.2%, driven by increased spending on transport and recreational services.
goods rose 5.7%, driven by rises in miscellaneous goods, food, 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-19	100	100
Feb-19	101.3	106.8
Mar-19	102.4	107.5
Apr-19	104	107.1
May-19	104.3	109.8
Jun-19	111.2	108.1
Jul-19	107	107.9
Aug-19	108.6	111.5
Sep-19	108.1	109.9
Oct-19	110.6	112.1
Nov-19	119.7	113.3
Dec-19	140.3	113.2
Jan-20	107.3	105.8	7.3	5.8
Feb-20	103.3	106.9	2	0.1
Mar-20	94.7	102.8	-7.5	-4.4
Apr-20	75.3	69.3	-27.6	-35.3
May-20	94.4	79.2	-9.5	-27.9
Jun-20	103	88.2	-7.4	-18.4
Jul-20	104.7	92.6	-2.1	-14.2
Aug-20	98.5	91	-9.3	-18.4
Sep-20	101.9	94.5	-5.7	-14
Oct-20	104.4	96.8	-5.6	-13.6
Nov-20	128.3	103.5	7.2	-8.6
Dec-20	144.1	108	2.7	-4.6
Jan-21	106.7	95.1	-0.6	-10.1
Feb-21	106	100.7	2.6	-5.8
Mar-21	110.2	105.8	16.4	2.9
Apr-21	110.7	103.4	47	49.2
May-21	110.9	106.6	17.5	34.6
Jun-21	115.4	105.1	12	19.2
Jul-21	104.8	99.4	0.1	7.3
Aug-21	99.6	97	1.1	6.6
Sep-21	105.4	99.5	3.4	5.3
Oct-21	114.2	104.1	9.4	7.5
Nov-21	140.2	112.5	9.3	8.7
Dec-21	149.5	113.7	3.7	5.3
Jan-22	111.8	102.1	4.8	7.4
Feb-22	118	111.8	11.3	11
Mar-22	120.4	114.1	9.3	7.8
Apr-22	123.4	111.5	11.5	7.8
May-22	120.8	113.9	8.9	6.8

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-19","Feb-19","Mar-19","Apr-19","May-19","Jun-19","Jul-19","Aug-19","Sep-19","Oct-19","Nov-19","Dec-19","Jan-20","Feb-20","Mar-20","Apr-20","May-20","Jun-20","Jul-20","Aug-20","Sep-20","Oct-20","Nov-20","Dec-20","Jan-21","Feb-21","Mar-21","Apr-21","May-21","Jun-21","Jul-21","Aug-21","Sep-21","Oct-21","Nov-21","Dec-21","Jan-22","Feb-22","Mar-22","Apr-22","May-22"],[[100],[101.3],[102.40000000000001],[104],[104.3],[111.2],[107],[108.59999999999999],[108.09999999999999],[110.59999999999999],[119.7],[140.30000000000001],[107.3],[103.3],[94.700000000000003],[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],[115.40000000000001],[104.8],[99.599999999999994],[105.40000000000001],[114.2],[140.19999999999999],[149.5],[111.8],[118],[120.40000000000001],[123.40000000000001],[120.8]],[[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],[106.90000000000001],[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],[113.90000000000001]],[[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[7.2999999999999998],[2],[-7.5],[-27.600000000000001],[-9.5],[-7.4000000000000004],[-2.1000000000000001],[-9.3000000000000007],[-5.7000000000000002],[-5.5999999999999996],[7.2000000000000002],[2.7000000000000002],[-0.59999999999999998],[2.6000000000000001],[16.399999999999999],[47],[17.5],[12],[0.10000000000000001],[1.1000000000000001],[3.3999999999999999],[9.4000000000000004],[9.3000000000000007],[3.7000000000000002],[4.7999999999999998],[11.300000000000001],[9.3000000000000007],[11.5],[8.9000000000000004]],[[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[5.7999999999999998],[0.10000000000000001],[-4.4000000000000004],[-35.299999999999997],[-27.899999999999999],[-18.399999999999999],[-14.199999999999999],[-18.399999999999999],[-14],[-13.6],[-8.5999999999999996],[-4.5999999999999996],[-10.1],[-5.7999999999999998],[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],[6.7999999999999998]]]

[]

[{"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}]

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

Through the year:

discretionary household spending rose 8.9%, driven by spending in recreation and culture.
non-discretionary household spending rose 6.8%, driven by spending on transport.

State and territory spending

State household spending through the year, current price, calendar adjusted
	Mar-2022	Apr-2022	May-2022
NSW	9.2	9.1	6.6
Vic.	7.5	8.5	9.1
Qld	11.4	13.7	10.4
SA	10	12.2	10.4
WA	5.1	10	5.7
Tas.	5.2	9	6.8
NT	7.4	5.3	5.1
ACT	5.6	4.6	3.2

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

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

[["NSW","Vic.","Qld","SA","WA","Tas.","NT","ACT"],[[9.1999999999999993],[7.5],[11.4],[10],[5.0999999999999996],[5.2000000000000002],[7.4000000000000004],[5.5999999999999996]],[[9.0999999999999996],[8.5],[13.699999999999999],[12.199999999999999],[10],[9],[5.2999999999999998],[4.5999999999999996]],[[6.5999999999999996],[9.0999999999999996],[10.4],[10.4],[5.7000000000000002],[6.7999999999999998],[5.0999999999999996],[3.2000000000000002]]]

[]

[{"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}]

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

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

Queensland (+10.4%)
South Australia (+10.4%)
Victoria (+9.1%).

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

clothing and footwear (+18.7%)
hotels, cafes and restaurants (+18.4%)
miscellaneous goods and services (+17.8%).

In South Australia, the strongest household spending categories through the year were:

furnishings and household equipment (+19.4%)
transport (+16.8%)
hotels, cafes and restaurants (+16.2%).

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

recreation and culture (+17.9%)
furnishings and household equipment (+17.7%)
transport (+17.7%).

State household spending through the year by category, current price, calendar adjusted (%)
	NSW	Vic.	Qld	SA	WA	Tas.	NT	ACT
Food	3.5	0.8	5.1	9.2	1	5.7	-7	-3.2
Alcoholic beverages and tobacco	4.8	-5.5	5	6	0.1	-0.7	9.2	-6.5
Clothing and footwear	-1	13.2	18.7	3.9	16.6	2.1	1.2	-18.4
Furnishings and household equipment	11.2	17.7	8.8	19.4	-3.9	10.1	-7	-3.5
Health	1.5	0.9	-0.5	2	-2.8	-5	9	-3.4
Transport	10.4	17.7	15.7	16.8	16.9	16	16.9	19.5
Recreation and culture	5.8	17.9	11.3	7.8	5.5	1.1	10.2	6
Hotels, cafes and restaurants	9.8	7.6	18.4	16.2	7.3	19.3	-3.8	5.7
Miscellaneous goods and services	13.7	9.8	17.8	11.1	13	8	16.7	9.2
Total	6.6	9.1	10.4	10.4	5.7	6.8	5.1	3.2

State household spending through the year by goods/services, current price, calendar adjusted (%)
	NSW	Vic.	Qld	SA	WA	Tas.	NT	ACT
Goods	5.4	6.5	7.9	9.5	2.8	1.7	-3.4	-4.6
Services	7.9	11.9	13	11.1	8.8	11.9	11.1	10.3

State household discretionary/non-discretionary spending, through the year, current price, calendar adjusted (%)
	NSW	Vic.	Qld	SA	WA	Tas.	NT	ACT
Discretionary	7.2	12.1	12.4	10.7	5.4	4.4	5.8	0.3
Non Discretionary	6.1	6.2	8.6	10.2	6.1	8.9	4.2	5.6

Data downloads

The following datacubes have been updated to include the new categories and re-ordered to:

Calendar adjusted - Index
Calendar adjusted - Through the year
Calendar adjusted - Monthly
Original - Index
Original - Through the year
Original - Monthly

Download all (724.51 KB)

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 [97.47 KB]
Table 2. Experimental estimates of Household Spending, New South Wales
Download xlsx [99.17 KB]
Table 3. Experimental estimates of Household Spending, Victoria
Download xlsx [99.26 KB]
Table 4. Experimental estimates of Household Spending, Queensland
Download xlsx [98.91 KB]
Table 5. Experimental estimates of Household Spending, South Australia
Download xlsx [99.01 KB]
Table 6. Experimental estimates of Household Spending, Western Australia
Download xlsx [98.92 KB]
Table 7. Experimental estimates of Household Spending, Tasmania
Download xlsx [98.83 KB]
Table 8. Experimental estimates of Household Spending, Northern Territory
Download xlsx [98.89 KB]
Table 9. Experimental estimates of Household Spending, Australian Capital Territory
Download xlsx [99.12 KB]

Revisions and future development

Minor improvements to the indicator methodology has resulted in some revisions. For more information, please refer to the information paper.

Updates to source data and additional processing have also 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, May 2022

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

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 rises again in May

Do you need more detailed statistics?

Request data

Microdata and TableBuilder