Table 3.

Descriptive statistics of COVID-19 shocks by covariates

	Sample share	Salary reduction	Unemploy. benefits	Any shock	Avg. FWB
Household size:
1	12.0%	20.3%	18.8%	23.3%	60.3
2	33.2%	31.0%	26.4%	35.8%	58.8
3	20.5%	16.0%	21.5%	26.5%	64.7
4	21.9%	34.1%	31.9%	42.6%	58.7
5	7.8%	42.9%	34.1%	51.2%	51.6
6+	4.7%	37.5%	19.1%	47.3%	53.4
Gender:
Female	49.1%	35.8%	32.3%	44.5%	55.1
Male	50.9%	21.6%	19.9%	27.1%	63.5
Age:
18–24	13.7%	35.7%	45.9%	53.1%	53.9
25–34	25.8%	18.8%	19.6%	24.7%	62.2
35–44	22.8%	29.7%	22.6%	36.1%	57.7
45–54	20.1%	33.0%	26.7%	37.8%	59.5
55–64	17.5%	30.7%	23.3%	35.1%	61.4
Unemployment status + occupation:
Unemployed	8.1%	41.1%	59.7%	64.0%	41.5
Managers	11.1%	21.3%	15.9%	24.8%	67.8
Professionals	20.8%	11.3%	7.5%	14.1%	68.1
Trades workers	13.1%	26.6%	11.8%	27.0%	62.5
Personal service	8.7%	25.1%	21.3%	33.4%	59.7
Clerical	12.0%	18.1%	15.4%	23.9%	60.1
Sales	9.4%	37.4%	43.9%	60.4%	50.9
Machinery ops	6.3%	21.3%	23.0%	29.6%	59.3
Labourers	8.3%	82.1%	75.4%	82.1%	48.1
Not stated	2.2%	46.1%	32.1%	49.7%	54.6
State:
ACT	1.9%	8.0%	3.1%	8.0%	66.7
NSW	30.8%	31.5%	30.4%	40.1%	58.3
NT	1.5%	35.3%	8.8%	35.3%	66.1
QLD	21.0%	32.1%	24.9%	35.9%	58.7
SA	6.1%	24.2%	25.8%	32.0%	60.1
TAS	2.4%	29.1%	32.4%	35.5%	54.9
VIC	27.3%	27.9%	27.9%	37.4%	59.4
WA	9.1%	18.4%	13.4%	23.1%	62.3
Total	100.0%	28.6%	26.0%	35.6%	59.3

Note: N = 2078. Statistics are population weighted using data from the 2016 Australian Census, based on age, gender, occupation, and state