You can also download Data tables (XLXS, 598KB)This link will download a file
Note: Certain tables are from those reported in the Self-managed super fund statistical report, June 2018.
For statistical information on the taxation of SMSFs (and other entities) see annual Taxation statistics.
Table 1: Yearly SMSF population and asset size
This table shows the:
- number of SMSFs established or wound up during each financial year
- number of SMSFs and members at year end
- total assets held by SMSFs at year end.
These figures are estimates based on SMSF annual returns, and are consistent with those reported in the Self-managed super fund statistical report, June 2018.
|
SMSFs |
2013–14 |
2014–15 |
2015–16 |
2016–17 |
2017–18 |
|---|---|---|---|---|---|
|
Establishments |
33,379 |
33,792 |
32,868 |
30,540 |
25,034 |
|
Wind-ups |
12,571 |
12,895 |
11,961 |
12,355 |
10,529 |
|
Net establishments |
20,808 |
20,897 |
20,907 |
18,185 |
14,505 |
|
Total SMSFs |
521,731 |
542,628 |
563,535 |
581,720 |
596,225 |
|
Total members |
987,951 |
1,027,276 |
1,061,794 |
1,090,885 |
1,118,650 |
|
Total assets ($m) |
533,179 |
582,414 |
618,371 |
704,589 |
749,899 |
Table 2: SMSF age distribution
This table shows the age distribution of SMSFs, based on years since their establishment date.
|
SMSF age since establishment (at 30/06/2018) |
% of SMSFs |
|---|---|
|
In 1st year of establishment |
4.0% |
|
>1–2 years |
4.9% |
|
>2–3 years |
5.2% |
|
>3–5 years |
10.3% |
|
>5–10 years |
20.4% |
|
>10 years |
55.1% |
|
N/A |
0.3% |
|
Total |
100% |
|
Average SMSF age |
10 years |
|
Median SMSF age |
10 years |
Table 3: Contribution flows
These tables show the total value of contributions to SMSFs during each financial year and the mean and median amounts, along with contributions by fund size.
These figures are estimates based on SMSF annual returns, and are consistent with those reported in the Self-managed super fund statistical report, June 2018.
For additional data on member and employer contributions by member age and gender, see Data tables (XLXS, 598KB)This link will download a file.
|
Total |
2012–13 |
2013–14 |
2014–15 |
2015–16 |
2016–17 |
|---|---|---|---|---|---|
|
Member |
17,886 |
19,515 |
24,901 |
24,480 |
34,687 |
|
Employer |
5,426 |
6,012 |
6,906 |
7,160 |
7,130 |
|
Mean |
2012–13 |
2013–14 |
2014–15 |
2015–16 |
2016–17 |
|---|---|---|---|---|---|
|
Member |
76,383 |
79,987 |
98,206 |
96,396 |
133,061 |
|
Employer |
20,387 |
22,028 |
24,526 |
24,819 |
24,976 |
|
Median |
2012–13 |
2013–14 |
2014–15 |
2015–16 |
2016–17 |
|---|---|---|---|---|---|
|
Member |
18,000 |
20,000 |
24,012 |
22,109 |
30,000 |
|
Employer |
16,791 |
17,449 |
18,486 |
18,768 |
19,155 |
|
|
2012–13 |
2013–14 |
2014–15 |
2015–16 |
2016–17 |
|---|---|---|---|---|---|
|
Member |
42.8% |
49.1% |
50.1% |
52.8% |
52.3% |
|
Employer |
7.7% |
7.4% |
8.0% |
8.0% |
7.7% |
|
Total SMSF |
20.8% |
21.1% |
23.4% |
23.3% |
26.4% |
Table 4: Rollover flow (into and out of SMSFs)
These tables show the total value of rollovers into and out of SMSFs during each financial year and the mean and median amount, along with distribution of rollovers by fund size.
These figures are estimates based on SMSF annual returns, and are consistent with those reported in the Self-managed super fund statistical report, June 2018.
|
Total |
2012–13 |
2013–14 |
2014–15 |
2015–16 |
2016–17 |
|---|---|---|---|---|---|
|
Inward |
16,488 |
15,067 |
15,028 |
14,954 |
18,316 |
|
Outward |
4,275 |
5,086 |
5,617 |
5,481 |
9,207 |
|
Mean |
2012–13 |
2013–14 |
2014–15 |
2015–16 |
2016–17 |
|---|---|---|---|---|---|
|
Inward |
199,019 |
194,145 |
204,884 |
196,512 |
247,978 |
|
Outward |
291,909 |
293,379 |
328,038 |
299,858 |
452,385 |
|
Median |
2012–13 |
2013–14 |
2014–15 |
2015–16 |
2016–17 |
|---|---|---|---|---|---|
|
Inward |
83,074 |
81,164 |
81,096 |
77,125 |
75,339 |
|
Outward |
67,480 |
83,615 |
93,243 |
81,544 |
128,599 |
|
Fund size |
2012–13 |
2013–14 |
2014–15 |
2015–16 |
2016–17 |
|---|---|---|---|---|---|
|
$0 |
0.34% |
0.43% |
0.39% |
0.40% |
0.51% |
|
$>0–$50k |
0.76% |
0.64% |
0.54% |
0.48% |
0.46% |
|
>$50k–$100k |
2.05% |
1.88% |
1.52% |
1.51% |
0.92% |
|
>$100k–$200k |
7.62% |
7.72% |
6.75% |
6.88% |
4.41% |
|
>$200k–$500k |
21.81% |
21.81% |
20.90% |
22.50% |
16.53% |
|
>$500k–$1m |
24.01% |
23.65% |
22.66% |
22.82% |
17.88% |
|
>$1m–$2m |
20.91% |
20.96% |
20.87% |
21.01% |
19.41% |
|
>$2m–$5m |
15.20% |
16.17% |
17.16% |
16.27% |
23.77% |
|
>$5m–$10m |
4.25% |
4.86% |
5.44% |
5.40% |
9.22% |
|
>$10m–$20m |
1.68% |
1.56% |
1.61% |
2.04% |
4.65% |
|
>$20m–$50m |
0.98% |
0.31% |
1.09% |
0.37% |
1.98% |
|
>$50m–$100m |
0.39% |
0.01% |
0.61% |
0.33% |
0.26% |
|
>$100m–$500m |
0.00% |
0.00% |
0.46% |
0.01% |
0.00% |
|
Fund size |
2012–13 |
2013–14 |
2014–15 |
2015–16 |
2016–17 |
|---|---|---|---|---|---|
|
$0 |
17.83% |
26.29% |
27.20% |
26.82% |
22.29% |
|
$>0–$50k |
11.82% |
10.32% |
9.60% |
9.13% |
8.44% |
|
>$50k–$100k |
1.47% |
1.73% |
1.38% |
1.24% |
1.46% |
|
>$100k–$200k |
2.34% |
2.27% |
1.99% |
2.02% |
1.32% |
|
>$200k–$500k |
7.30% |
5.84% |
6.06% |
5.69% |
3.90% |
|
>$500k–$1m |
10.72% |
10.08% |
9.98% |
10.43% |
6.10% |
|
>$1m–$2m |
14.33% |
13.73% |
12.30% |
14.27% |
10.91% |
|
>$2m–$5m |
19.65% |
18.60% |
18.65% |
18.29% |
24.71% |
|
>$5m–$10m |
9.35% |
8.41% |
7.94% |
7.19% |
11.27% |
|
>$10m–$20m |
3.45% |
2.38% |
3.55% |
3.53% |
6.79% |
|
>$20m–$50m |
0.47% |
0.25% |
1.14% |
0.71% |
2.22% |
|
>$50m–$100m |
0.04% |
0.05% |
0.20% |
0.67% |
0.57% |
|
>$100m–$500m |
1.23% |
0.03% |
0.02% |
0.00% |
0.01% |
Table 5: Benefit payments
These tables show the total benefit payments from SMSFs during each financial year, and average and median amounts. Benefit payments includes income stream benefits, lump sum benefits, transition-to-retirement (TRIS) and combination payments.
The estimates for total benefit payments are consistent with those reported in the Self-managed super fund statistical report, June 2018. The average and median figures are based on SMSF annual returns.
|
SMSF benefit payments |
2012–13 |
2013–14 |
2014–15 |
2015–16 |
2016–17 |
|---|---|---|---|---|---|
|
Total ($m) |
25,492 |
29,482 |
33,456 |
35,430 |
46,368 |
|
Average ($) |
105,061 |
113,099 |
119,230 |
118,703 |
144,987 |
|
Median ($) |
52,000 |
60,000 |
62,061 |
62,630 |
67,380 |
|
Type of benefit |
2012–13 |
2013–14 |
2014–15 |
2015–16 |
2016–17 |
|---|---|---|---|---|---|
|
Lump sum benefit |
15.3% |
12.5% |
12.2% |
11.4% |
13.1% |
|
Income stream benefit |
73.0% |
74.4% |
75.4% |
76.7% |
78.6% |
|
Transition to retirement benefit |
11.7% |
13.1% |
12.4% |
11.9% |
8.3% |
|
Age range |
% of members receiving benefit payments |
Average member benefit payment ($) |
Average member balance ($).a |
|---|---|---|---|
|
<55 |
1.9% |
36,566 |
652,807 |
|
55–59 |
6.51% |
52,879 |
1,047,858 |
|
60–64 |
22.33% |
92,341 |
1,121,328 |
|
65–69 |
28.84% |
97,386 |
1,112,654 |
|
70–74 |
22.97% |
93,692 |
1,154,928 |
|
>74 |
17.39% |
114,181 |
1,176,488 |
|
Unknown.b |
0.03% |
178,105 |
1,164,428 |
|
Total |
100% |
94,290.19 |
1,122,354.59 |
Notes:
a
Average member balance is calculated before benefit payment.
b
Unknown value indicates a value less than 0.1% but greater than 0.
For additional data on members receiving income stream benefit payments and lump sum and income stream benefit payments by benefit type, see Data tables (XLXS, 598KB)This link will download a file
Table 6: SMSF net fund flow
This table shows net contributions, transfers, benefit payments, total expenses and net fund flow for SMSFs from the 2012–13 to the 2016–17 year.
Breakdown of SMSF fund flows ($bn), 2012–13 to 2016–17
|
|
2012–13 |
2013–14 |
2014–15 |
2015–16 |
2016–17 |
|---|---|---|---|---|---|
|
Total contributions |
23.3 |
25.5 |
31.8 |
31.6 |
41.8 |
|
Net transfers |
12.2 |
10.0 |
9.4 |
9.5 |
9.1 |
|
Benefit payments |
25.5 |
29.5 |
33.5 |
35.4 |
46.4 |
|
Total expenses |
4.9 |
5.7 |
6.6 |
7.9 |
7.9 |
|
Net fund flow |
5.1 |
0.3 |
1.2 |
–2.2 |
–3.3 |
Table 7: SMSF trustee type
This table shows the trustee structure (either corporate or individual trustees) of SMSFs at 30 June 2018, and for new registrations for 2015–16 to 2017–18.
|
Trustee type |
% of all SMSFs at 30/06/2018 |
2015–16 registrations |
2016–17 registrations |
2017–18 registrations |
|---|---|---|---|---|
|
Corporate |
58.94% |
27,292 (80.87%) |
25,629 (80.96%) |
21,142 (80.48%) |
|
Individual |
41.06% |
6,455 (19.13%) |
6,027 (19.04%) |
5,127 (19.52%) |
|
Total |
100% |
33,747 (100%) |
31,656 (100%) |
26,269 (100%) |
Table 8: SMSFs by payment phase
This table shows the proportion of SMSFs in different payment phases at 30 June 2018 by year. Data for the 2016-17 statistics in this table was collected at 31 March 2019.
Partial pension phase refers to SMSFs where at least one member has received a pension payment, and full pension phase refers to SMSFs where all members received pension payments.
These figures are estimates based on SMSF annual returns.
|
No. of SMSFs |
2012–13 |
2013–14 |
2014–15 |
2015–16 |
2016–17 |
|---|---|---|---|---|---|
|
In accumulation phase |
56.2% |
55.2% |
53.8% |
55.3% |
57.6% |
|
In partial pension phase |
11.2% |
11.2% |
11.2% |
11.2% |
10.8% |
|
In full pension phase |
32.6% |
33.6% |
35.0% |
33.5% |
31.6% |
|
Total |
100% |
100% |
100% |
100% |
100% |
Table 9: Audits performed by SMSF auditors
These tables show the number of SMSF auditors who performed audits in relation to each year of audit, the distribution of SMSF auditors by the number of audits they performed, the proportion of total audits performed by SMSF auditors by number of audits and the proportion of total assets audited by number of audits for the years ended 30 June 2013 to 30 June 2017.
These figures are based on SMSF annual returns.
From 1 July 2013 only SMSF auditors registered with ASIC can undertake SMSF audits, resulting in a reduction in auditors performing SMSF audits.
The year columns refer to the year being audited, not the year the audit took place.
|
Number of auditors |
2012–13 |
2013–14 |
2014–15 |
2015–16 |
2016–17 |
|---|---|---|---|---|---|
|
Total |
7,032 |
6,582 |
6,238 |
5,949 |
5,565 |
|
Number of audits |
% of auditors 2012–13 |
% of auditors 2013–14 |
% of auditors 2014–15 |
% of auditors 2015–16 |
% of auditors 2016–17 |
|---|---|---|---|---|---|
|
<5 funds |
16.8% |
14.8% |
13.4% |
13.5% |
15.3% |
|
5–50 funds |
50.9% |
50.8% |
50.1% |
49.9% |
51.5% |
|
51–250 funds |
27.8% |
29.3% |
30.7% |
30.7% |
27.8% |
|
>250 funds |
4.5% |
5.0% |
5.8% |
6.0% |
5.3% |
|
Total |
100% |
100% |
100% |
100% |
100% |
|
Number of audits |
% of audits 2012–13 |
2013–14 |
2014–15 |
2015–16 |
2016–17 |
|---|---|---|---|---|---|
|
<5 funds |
0.5% |
0.4% |
0.4% |
0.3% |
0.4% |
|
5–50 funds |
17.7% |
16.4% |
15.0% |
14.1% |
15.0% |
|
51–250 funds |
41.0% |
39.7% |
38.0% |
36.7% |
36.0% |
|
>250 funds |
40.9% |
43.5% |
46.7% |
48.9% |
48.5% |
|
Total |
100% |
100% |
100% |
100% |
100% |
|
Number of audits |
% of assets 2012–13 |
2013–14 |
2014–15 |
2015–16 |
2016–17 |
|---|---|---|---|---|---|
|
<5 funds |
0.4% |
0.4% |
0.3% |
0.3% |
0.4% |
|
5–50 funds |
16.8% |
15.7% |
14.5% |
13.8% |
15.0% |
|
51–250 funds |
41.4% |
40.1% |
38.1% |
37.0% |
36.7% |
|
>250 funds |
41.5% |
43.9% |
47.1% |
48.8% |
47.9% |
|
Total |
100% |
100% |
100% |
100% |
100% |
Average and median SMSF auditor fees
This table shows average and median SMSF auditor fees reported on the SMSF annual return. From 2012–13, non-deductible SMSF auditor fee expenses are included.
Those SMSFs that did not report an audit fee greater than $0 are not taken into account in calculating the average or median fee.
|
SMSF auditor fees |
2012–13 |
2013–14 |
2014–15 |
2015–16 |
2016–17 |
|---|---|---|---|---|---|
|
Average auditor fee |
737 |
726 |
760 |
703 |
688 |
|
Median auditor fee |
550 |
550 |
550 |
550 |
550 |
SMSF audit fee by ranges
This table shows the distribution of SMSFs by audit fee ranges.
These figures are based on SMSF annual returns. Those SMSFs that did not report an audit fee greater than $0 are not taken into account in calculating the average or median fee.
|
Audit fee range |
% of SMSFs 2012–13 |
2013–14 |
2014–15 |
2015–16 |
2016–17 |
|---|---|---|---|---|---|
|
>$0–$499 |
36.8% |
36.5% |
36.5% |
36.9% |
37.6% |
|
$500–$999 |
47.8% |
48.9% |
49.7% |
50.2% |
50.4% |
|
$1,000–$1,999 |
12.0% |
11.5% |
11.0% |
10.5% |
9.8% |
|
$2,000 and above |
3.4% |
3.1% |
2.8% |
2.4% |
2.1% |
|
Total |
100.0% |
100.0% |
100.0% |
100.0% |
100.0% |
Table 10: SAR lodgments per tax agent
This table shows the distribution of tax agents by the number of SMSF annual returns (SAR) they lodged.
|
Number of SMSF annual returns lodged per tax agent |
Tax agents 2012–13 |
2013–14 |
2014–15 |
2015–16 |
2016–17 |
|---|---|---|---|---|---|
|
1 |
2,556 |
2,469 |
2,303 |
2,123 |
1,960 |
|
2 |
1,243 |
1,244 |
1,223 |
1,194 |
1,163 |
|
3 |
843 |
874 |
861 |
850 |
842 |
|
4 |
656 |
648 |
653 |
660 |
638 |
|
5 |
576 |
559 |
517 |
546 |
513 |
|
6–10 |
1,768 |
1,869 |
1,860 |
1,798 |
1,719 |
|
11–20 |
2,015 |
2,045 |
2,048 |
2,052 |
1,984 |
|
21–100 |
3,891 |
4,019 |
4,146 |
4,108 |
3,876 |
|
101–500 |
863 |
945 |
980 |
1,019 |
919 |
|
>500 |
23 |
25 |
29 |
28 |
26 |
|
Total |
14,434 |
14,697 |
14,620 |
14,378 |
13,640 |
Table 11: Age ranges of SMSF members
This table shows the approximate age distribution of SMSF members at 30 June 2018, along with the age distribution of members of SMSFs established in each year from 2013 to 2017. This is an estimate based on Australian Business Register (ABR) data.
Age distribution of members, by establishment year of SMSF
|
Age range |
Proportion of all members at June 2018 |
2013 |
2014 |
2015 |
2016 |
2017 |
|---|---|---|---|---|---|---|
|
< 25 |
0.5% |
2.0% |
1.7% |
1.4% |
1.4% |
1.3% |
|
25 – 34 |
3.4% |
10.6% |
10.5% |
11.1% |
11.2% |
10.6% |
|
35 – 44 |
11.8% |
27.2% |
29.4% |
29.6% |
29.9% |
28.7% |
|
45 – 49 |
10.4% |
15.3% |
16.2% |
16.4% |
16.9% |
17.3% |
|
50 – 54 |
11.5% |
16.2% |
16.0% |
15.7% |
15.3% |
15.2% |
|
55 – 59 |
13.5% |
13.6% |
12.6% |
12.6% |
12.6% |
12.7% |
|
60 – 64 |
13.4% |
9.3% |
8.4% |
7.9% |
7.8% |
8.0% |
|
65 – 69 |
13.3% |
4.2% |
3.7% |
3.8% |
3.5% |
3.9% |
|
70 – 74 |
11.4% |
1.3% |
1.2% |
1.1% |
1.0% |
1.7% |
|
75 – 84 |
9.3% |
0.4% |
0.4% |
0.4% |
0.4% |
0.6% |
|
85+ |
1.5% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
|
Unknown |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
|
Total |
100.0% |
100.0% |
100.0% |
100.0% |
100.0% |
100.0% |
|
Average member age |
58.8 |
48.1 |
47.7 |
47.6 |
47.4 |
47.9 |
|
Median member age |
59.4 |
48.4 |
47.5 |
47.3 |
47.1 |
47.6 |
Table 12: SMSF members and non-SMSF members
These tables show the approximate age distribution of SMSF members at 30 June 2017, along with the average and median account balances for these members as reported on the 2016–17 SMSF annual return (SAR). Also included is a comparison of SMSF members’ average and median taxable income to non-SMSF members’ average and median taxable income. The age ranges in these tables align with those as reported in APRA’s Annual Superannuation Bulletin.
This is an estimate based on Australian Business Register (ABR) data.
|
Age range |
% of All SMSF members |
Average member balance as per 2017 SAR ($) |
Median member balance as per 2017 SAR ($) |
|---|---|---|---|
|
<25 |
0.8% |
53,556 |
6,796 |
|
25–34 |
3.3% |
82,829 |
39,241 |
|
35–44 |
11.0% |
154,145 |
96,811 |
|
45–49 |
9.8% |
253,853 |
152,910 |
|
50–54 |
11.7% |
395,418 |
211,728 |
|
55–59 |
14.3% |
605,043 |
339,486 |
|
60–64 |
14.9% |
836,619 |
518,475 |
|
65–69 |
14.7% |
945,355 |
569,792 |
|
70–74 |
11.1% |
1,017,756 |
578,033 |
|
75–84 |
7.8% |
1,032,505 |
568,023 |
|
85+ |
0.6% |
871,935 |
406,005 |
|
Unknown |
0.0% |
567,973 |
300,891 |
|
Total |
100% |
640,191 |
296,721 |
|
Age range |
Average taxable income |
Median taxable income |
|---|---|---|
|
<25 |
53,037 |
37,491 |
|
25–34 |
85,515 |
70,637 |
|
35–44 |
124,973 |
85,574 |
|
45–49 |
140,787 |
86,691 |
|
50–54 |
140,124 |
81,489 |
|
55–59 |
127,929 |
74,109 |
|
60–64 |
99,988 |
49,035 |
|
65–69 |
80,406 |
33,451 |
|
70–74 |
71,647 |
28,194 |
|
75–84 |
74,407 |
30,057 |
|
85+ |
114,547 |
44,931 |
|
Unknown |
7,130 |
7,130 |
|
Total |
108,638 |
59,625 |
|
Age ranges |
Average taxable income |
Median taxable income |
|---|---|---|
|
<25 |
31,099 |
26,660 |
|
25–34 |
54,395 |
48,861 |
|
35–44 |
71,039 |
57,425 |
|
45–49 |
76,301 |
58,445 |
|
50–54 |
74,058 |
56,512 |
|
55 – 59 |
70,534 |
53,915 |
|
60 – 64 |
57,739 |
43,404 |
|
65 – 69 |
46,782 |
32,570 |
|
70 – 74 |
37,998 |
24,980 |
|
75 – 84 |
35,546 |
23,706 |
|
85+ |
48,714 |
36,798 |
|
Unknown |
59,758 |
50,361 |
|
Total |
59,839 |
46,769 |
Note:
(C) The non-SMSF member population are those individuals, excluding SMSF members, for whom a 2017 member contribution was received.
Table 13: Average and median asset sizes
These tables show the average and median SMSF fund asset size and member account balance at the end of each financial year, the average member balance by age and gender, and the closing balance for female members by balance range.
These figures are estimates based on SMSF annual returns, and are consistent with those reported in the Self-managed super fund statistical report, June 2018.
This table was updated in June 2024.
|
Assets |
2012–13 |
2013–14 |
2014–15 |
2015–16 |
2016–17 |
|---|---|---|---|---|---|
|
Average assets per member |
507,392 |
544,858 |
572,509 |
587,171 |
652,465 |
|
Median assets per member |
296,580 |
319,301 |
336,647 |
347,011 |
393,141 |
|
Average assets per SMSF |
962,562 |
1,031,385 |
1,081,964 |
1,107,726 |
1,223,460 |
|
Median assets per SMSF |
530,407 |
570,726 |
601,912 |
618,754 |
693,265 |
Average member balance by gender and phase
|
|
2012–13 |
2013–14 |
2014–15 |
2015–16 |
2016–17 |
|---|---|---|---|---|---|
|
Average SMSF member balance (accumulation) |
$191,708 |
$211,929 |
$232,571 |
$253,674 |
$300,735 |
|
Average SMSF member balance (pension) |
$821,759 |
$877,549 |
$906,938 |
$912,724 |
$1,007,600 |
|
Average SMSF member balance (total) |
455,657 |
489,691 |
515,885 |
530,488 |
603,430 |
|
|
2012–13 |
2013–14 |
2014–15 |
2015–16 |
2016–17 |
|---|---|---|---|---|---|
|
Average SMSF member balance (accumulation) |
$263,202 |
$289,463 |
$312,885 |
$337,030 |
$392,952 |
|
Average SMSF member balance (pension) |
$985,132 |
$1,044,906 |
$1,073,936 |
$1,072,352 |
$1,164,017 |
|
Average SMSF member balance (total) |
586,632 |
624,598 |
648,963 |
659,860 |
735,843 |
|
Age range |
Female |
Male |
Total |
|---|---|---|---|
|
< 25 |
60,776 |
60,296 |
60,523 |
|
25 – 34 |
84,670 |
100,452 |
92,738 |
|
35 – 44 |
143,276 |
184,442 |
164,010 |
|
45 – 49 |
235,503 |
295,273 |
265,461 |
|
50 – 54 |
357,149 |
462,779 |
410,585 |
|
55 – 59 |
566,327 |
685,265 |
627,354 |
|
60 – 64 |
799,439 |
937,547 |
870,320 |
|
65 – 69 |
928,549 |
1,049,184 |
992,003 |
|
70 – 74 |
985,184 |
1,134,889 |
1,068,163 |
|
75 – 84 |
1,031,515 |
1,152,513 |
1,104,174 |
|
85+ |
951,167 |
1,058,580 |
1,023,380 |
|
Unknown |
491,010 |
853,501 |
639,300 |
For additional historical data for 2012 to 2015, see Data tables (XLXS, 598KB)This link will download a file
|
Member balance range |
Female members |
% of female members |
|---|---|---|
|
$0 |
23,904 |
5.8% |
|
>$0–$50k |
59,419 |
14.4% |
|
>$50k–$100k |
44,085 |
10.7% |
|
>$100k–$200k |
58,947 |
14.3% |
|
>$200k–$500k |
89,535 |
21.7% |
|
>$500k–$1m |
70,338 |
17.0% |
|
>$1m–$2m |
44,540 |
10.8% |
|
>$2m–$5m |
19,091 |
4.6% |
|
>$5m–$10m |
2,557 |
0.6% |
|
>$10m |
485 |
0.1% |
|
Total |
412,901 |
100% |
For additional historical data for 2013 to 2016, see Data tables (XLXS, 598KB)This link will download a file
Table 14: Asset sizes in establishment year
This table shows average and median SMSF asset sizes and member account balances in their year of establishment.
These figures are estimates based on SMSF annual returns.
|
From annual return for establishment year |
2012–13 |
2013–14 |
2014–15 |
2015–16 |
2016–17 |
|---|---|---|---|---|---|
|
Average assets per member account balance |
181,615 |
179,295 |
191,393 |
196,187 |
324,096 |
|
Median assets per member account balance |
95,178 |
100,852 |
103,430 |
111,157 |
148,012 |
|
Average assets per SMSF |
337,591 |
349,305 |
377,790 |
379,136 |
521,373 |
|
Median assets per SMSF |
204,052 |
217,429 |
223,283 |
236,741 |
319,902 |
Table 15: Asset ranges, by fund and member size
These tables show the approximate distribution of SMSFs by fund asset sizes and by members’ account balances.
These figures are estimates based on SMSF annual returns, and are consistent with those reported in the Self-managed super fund statistical report, June 2018.
Asset range by members' account balance
|
Member account balance range |
% of members 2012–13 |
2013–14 |
2014–15 |
2015–16 |
2016–17 |
|---|---|---|---|---|---|
|
$0–$50k |
21.1% |
19.9% |
19.0% |
17.8% |
16.2% |
|
>$50k–$100k |
10.9% |
10.7% |
10.5% |
10.2% |
9.2% |
|
>$100k–$200k |
15.1% |
15.1% |
15.1% |
15.4% |
14.7% |
|
>$200k–$500k |
23.6% |
23.4% |
23.5% |
24.0% |
23.9% |
|
>$500k–$1m |
16.0% |
16.3% |
16.7% |
17.0% |
18.1% |
|
>$1m–$2m |
9.1% |
9.7% |
10.1% |
10.3% |
11.8% |
|
>$2m–$5m |
3.8% |
4.3% |
4.5% |
4.6% |
5.2% |
|
>$5m–$10m |
0.4% |
0.5% |
0.6% |
0.6% |
0.8% |
|
>$10m |
0.1% |
0.1% |
0.1% |
0.1% |
0.2% |
|
Total |
100% |
100% |
100% |
100% |
100% |
For additional data on the distribution of SMSFs by fund asset size in establishment year, and fund asset size and member balance by payment phase, see Data tables (XLXS, 598KB)This link will download a file
Asset range and payment phase
|
Member asset range |
Accumulation |
Pension |
|---|---|---|
|
$0–$50k |
–3.71% |
0.20% |
|
>$50k–$100k |
–3.76% |
–0.39% |
|
>$100k–$200k |
–4.85% |
–0.99% |
|
>$200k–$500k |
–0.20% |
–3.94% |
|
>$500k–$1m |
5.93% |
–3.01% |
|
>$1m–$2m |
4.16% |
1.39% |
|
>$2m–$5m |
2.07% |
4.31% |
|
>$5m–$10m |
0.28% |
1.66% |
|
>$10m–$20m |
0.07% |
0.60% |
|
>$20m-$50m |
0.02% |
0.13% |
|
>$50m-$100m |
0.00% |
0.02% |
|
>$100m-$500m |
0.00% |
0.01% |
Asset range by fund size
|
Fund asset range |
% of funds 2012–13 |
2013–14 |
2014–15 |
2015–16 |
2016–17 |
|---|---|---|---|---|---|
|
$0–$50k |
7.5% |
7.1% |
6.6% |
5.9% |
5.5% |
|
>$50k–$100k |
5.6% |
5.0% |
4.5% |
4.1% |
3.3% |
|
>$100k–$200k |
10.9% |
10.2% |
9.5% |
9.0% |
7.8% |
|
>$200k–$500k |
24.7% |
24.2% |
24.0% |
24.3% |
22.9% |
|
>$500k–$1m |
22.7% |
23.1% |
23.7% |
24.4% |
24.7% |
|
>$1m–$2m |
16.9% |
17.6% |
18.1% |
18.4% |
19.8% |
|
>$2m–$5m |
9.5% |
10.4% |
10.9% |
11.1% |
12.6% |
|
>$5m–$10m |
1.7% |
2.0% |
2.2% |
2.2% |
2.6% |
|
>$10m – $20m |
0.3% |
0.4% |
0.4% |
0.5% |
0.6% |
|
>$20m – $50m |
0.1% |
0.1% |
0.1% |
0.1% |
0.1% |
|
>$50m–$100m |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
|
>$100m–$500m |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
|
Total |
100% |
100% |
100% |
100% |
100% |
|
Fund asset range |
2013 |
2013–14 |
2014–15 |
2015–16 |
2016–17 |
|---|---|---|---|---|---|
|
$0–$50k |
0.14% |
0.11% |
0.09% |
0.08% |
0.06% |
|
>$50k–$100k |
0.44% |
0.36% |
0.31% |
0.28% |
0.20% |
|
>$100k–$200k |
1.69% |
1.48% |
1.31% |
1.22% |
0.95% |
|
>$200k–$500k |
8.76% |
8.05% |
7.63% |
7.57% |
6.49% |
|
>$500k–$1m |
16.97% |
16.11% |
15.74% |
15.79% |
14.46% |
|
>$1m–$2m |
24.60% |
23.93% |
23.49% |
23.33% |
22.72% |
|
>$2m–$5m |
29.42% |
29.87% |
30.14% |
29.96% |
30.55% |
|
>$5m–$10m |
12.05% |
13.07% |
13.56% |
13.45% |
14.32% |
|
>$10m–$20m |
4.05% |
4.76% |
5.08% |
5.32% |
6.31% |
|
>$20m–$50m |
1.56% |
1.73% |
2.02% |
2.28% |
2.79% |
|
>$50m–$100m |
0.32% |
0.39% |
0.46% |
0.53% |
0.71% |
|
>$100m–$500m |
0.15% |
0.15% |
0.18% |
0.19% |
0.45% |
|
Total |
100% |
100% |
100% |
100% |
100% |
Asset range by fund size in year of establishment
|
Fund asset range |
2012–13 |
2013–14 |
2014–15 |
2015–16 |
2016–17 |
|---|---|---|---|---|---|
|
$0–$50k |
16.4% |
14.8% |
16.3% |
13.8% |
9.0% |
|
>$50k–$100k |
11.4% |
10.3% |
9.8% |
9.8% |
7.6% |
|
>$100k–$200k |
21.7% |
22.0% |
19.9% |
19.7% |
16.5% |
|
>$200k–$500k |
30.6% |
31.7% |
31.0% |
32.6% |
32.7% |
|
>$500k–$1m |
14.5% |
15.4% |
16.3% |
17.1% |
21.4% |
|
>$1m–$2m |
4.5% |
4.8% |
5.4% |
5.7% |
9.7% |
|
>$2m–$5m |
0.9% |
0.9% |
1.2% |
1.2% |
2.8% |
|
>$5m |
0.1% |
0.1% |
0.1% |
0.1% |
0.3% |
|
|
100% |
100% |
100% |
100% |
100% |
Table 16: SMSF asset allocations
This table shows the value and proportion of assets held by SMSFs for each type of asset listed on the 2017 SMSF annual return, as well as the mean and median value. It follows that SMSFs will have different asset allocations in individual cases.
These figures are estimates based on SMSF annual returns, and are consistent with those reported in the 2012–13 to 2016–17 Self-managed super fund statistical report, June 2018.
|
Asset allocation |
($m) |
% of total SMSF assets |
% of SMSF population holding those assets |
Mean ($)(d) |
Median ($)(e) |
|---|---|---|---|---|---|
|
Listed trusts |
31,668 |
4.49% |
30.52% |
187,193 |
71,841 |
|
Unlisted trusts |
74,967 |
10.64% |
22.74% |
587,448 |
229,327 |
|
Insurance policy |
173 |
0.02% |
0.09% |
330,538 |
128,997 |
|
Other managed investments |
33,198 |
4.71% |
10.96% |
523,819 |
220,582 |
|
Cash and term deposits |
171,774 |
24.38% |
97.02% |
306,026 |
108,125 |
|
Debt securities |
11,332 |
1.61% |
8.51% |
228,235 |
101,642 |
|
Loans |
4,577 |
0.65% |
2.75% |
297,351 |
88,000 |
|
Listed shares |
204,660 |
29.05% |
60.66% |
575,456 |
271,848 |
|
Unlisted shares |
7,515 |
1.07% |
6.76% |
200,938 |
31,037 |
|
Limited recourse borrowing arrangements |
37,216 |
5.28% |
8.78% |
766,422 |
486,973 |
|
Non-residential real property |
65,122 |
9.24% |
11.80% |
988,688 |
575,000 |
|
Residential real property |
34,248 |
4.86% |
9.63% |
631,784 |
445,000 |
|
Collectables and personal use assets |
313 |
0.04% |
0.52% |
108,995 |
40,397 |
|
Other assets |
18,770 |
2.66% |
81.57% |
41,355 |
7,884 |
|
Overseas shares |
5,519 |
0.78% |
5.51% |
182,055 |
38,894 |
|
Overseas non-residential real property |
137 |
0.02% |
0.04% |
542,958 |
166,688 |
|
Overseas residential real property |
237 |
0.03% |
0.16% |
288,408 |
153,887 |
|
Overseas managed investments |
763 |
0.11% |
0.58% |
240,647 |
86,262 |
|
Other overseas assets |
2,404 |
0.34% |
2.57% |
164,753 |
49,587 |
|
Total Australian and overseas Assets |
704,589 |
100.00% |
- |
1,258,658 |
688,540 |
|
Borrowings |
20,769 |
2.95% |
10.23% |
368,210 |
268,000 |
|
Other liabilities |
5,375 |
0.76% |
59.73% |
16,188 |
2,908 |
|
Net Australian and overseas assets |
678,445 |
96.29% |
- |
1,210,280 |
636,394 |
Note:
(c) (d) Mean and median values are only applicable to the funds that held those types of assets.
|
Asset allocation |
% change in value of assets 2013–14 |
2014–15 |
2015–16 |
2016–17 |
|---|---|---|---|---|
|
Listed trusts |
0.27% |
0.37% |
0.31% |
0.04% |
|
Unlisted trusts |
0.21% |
0.50% |
0.73% |
0.27% |
|
Other managed investments |
0.19% |
0.34% |
–0.04% |
–0.21% |
|
Cash and term deposits |
-2.78% |
-1.76% |
-0.85% |
–0.06% |
|
Listed shares |
1.45% |
–0.90% |
–1.57% |
0.76% |
|
Non-residential real property |
-0.57% |
-0.24% |
-0.15% |
-1.70% |
|
Residential real property |
0.12% |
0.27% |
0.68% |
0.15% |
|
Limited recourse borrowing arrangements |
1.06% |
0.76% |
0.67% |
0.93% |
|
All other assets |
0.04% |
0.65% |
0.21% |
-0.18% |
|
LRBA investment by asset type |
($m) |
% of total SMSF assets |
% of SMSFs holding these assets |
Mean ($)(f) |
Median ($)(g) |
|---|---|---|---|---|---|
|
Australian residential real property |
17,925 |
2.54% |
5.88% |
562,889 |
451,785 |
|
Australian non-residential real property |
16,854 |
2.39% |
2.49% |
1,250,405 |
691,600 |
|
Overseas real property |
63 |
0.01% |
0.01% |
651,724 |
411,359 |
|
Australian shares |
804 |
0.11% |
0.34% |
309,192 |
148,066 |
|
Overseas shares |
376 |
0.05% |
0.01% |
264,414 |
71,218 |
|
Other |
1,194 |
0.17% |
0.25% |
726,333 |
223,417 |
|
Total(h) |
37,216 |
5.28% |
8.98% |
766,422 |
486,973 |
Notes:
(f) (g) Mean and median values are only applicable to the funds that held those types of assets.
(h) The total represents the proportion of total SMSFs holding all LRBA assets. There is a small proportion of SMSFs who hold more than one type of LRBA asset.
Change (%) in SMSF population, by asset type held, 2013-14 to 2016-17
|
Asset type |
% change in SMSFs holding assets 2013-14 |
2014-15 |
2015-16 |
2016-17 |
|---|---|---|---|---|
|
Listed trusts |
1.17% |
0.54% |
1.11% |
1.51% |
|
Unlisted trusts |
0.45% |
0.43% |
1.57% |
0.78% |
|
Other managed investments |
-0.14% |
0.18% |
-0.32% |
0.02% |
|
Cash and term deposits |
-0.18% |
0.02% |
0.21% |
-0.20% |
|
Listed Shares |
-0.90% |
0.47% |
0.16% |
0.51% |
|
Non-residential real property |
-0.01% |
-0.14% |
-0.72% |
-2.03% |
|
Residential real property |
0.64% |
0.62% |
1.02% |
0.56% |
|
Limited recourse borrowing arrangements |
2.82% |
0.56% |
0.97% |
1.52% |
|
All other assets |
-1.31% |
2.39% |
3.46% |
1.50% |
Table 17: Asset allocations by fund phase
This table shows the proportion of assets held by SMSFs in accumulation and pension phases, for each type of asset listed on the 2017 SMSF annual return.
These figures are estimates based on SMSF annual returns.
|
Asset allocation |
Accumulation phase |
Pension phase |
|---|---|---|
|
Listed trusts |
4.5% |
4.7% |
|
Unlisted trusts |
8.9% |
11.8% |
|
Insurance policy |
0.0% |
0.0% |
|
Other managed investments |
4.1% |
4.9% |
|
Cash and term deposits |
25.4% |
23.4% |
|
Debt securities |
0.9% |
1.9% |
|
Loans |
0.6% |
0.7% |
|
Listed shares |
23.8% |
30.7% |
|
Unlisted shares |
1.1% |
1.1% |
|
Limited recourse borrowing arrangements |
12.1% |
2.0% |
|
Non-residential real property |
8.5% |
10.0% |
|
Residential real property |
6.0% |
4.4% |
|
Collectables and personal use assets |
0.1% |
0.0% |
|
Other assets |
2.6% |
2.8% |
|
Overseas shares |
0.7% |
0.8% |
|
Overseas non-residential real property |
0.0% |
0.0% |
|
Overseas residential real property |
0.1% |
0.0% |
|
Overseas managed investments |
0.1% |
0.1% |
|
Other overseas assets |
0.3% |
0.3% |
|
Total Australian and overseas assets |
100% |
100% |
Table 18: Asset concentrations
These tables show the distribution of SMSFs that have 50% or more of their assets by value invested in one particular asset class. For example, at 30 June 2017, 43.6% of SMSFs held 80% or more of their assets in one particular asset class, representing 28.9% of total SMSF assets.
An asset concentration of 100% indicates all assets are held within a single asset class.
These figures are estimates based on SMSF annual returns.
|
Asset concentration |
% of SMSFs 2012–13 |
2013–14 |
2014–15 |
2015–16 |
2016–17 |
|---|---|---|---|---|---|
|
100% |
13.0% |
12.3% |
11.5% |
10.7% |
10.2% |
|
>=90% |
32.3% |
32.2% |
31.5% |
30.9% |
29.9% |
|
>=80% |
45.4% |
45.5% |
45.0% |
44.5% |
43.6% |
|
>=70% |
58.2% |
58.3% |
57.7% |
57.2% |
56.3% |
|
>=60% |
71.8% |
71.7% |
70.9% |
70.3% |
69.5% |
|
>=50% |
86.8% |
86.9% |
86.6% |
85.7% |
84.8% |
|
Asset concentration |
% of SMSF assets 2012–13 |
2013–14 |
2014–15 |
2015–16 |
2016–17 |
|---|---|---|---|---|---|
|
100% |
5.8% |
5.3% |
4.9% |
4.7% |
4.9% |
|
>=90% |
19.8% |
19.8% |
19.3% |
19.2% |
18.7% |
|
>=80% |
30.2% |
30.2% |
29.7% |
29.4% |
28.9% |
|
>=70% |
40.1% |
40.1% |
39.4% |
39.0% |
38.4% |
|
>=60% |
50.0% |
49.8% |
48.8% |
48.4% |
47.8% |
|
>=50% |
59.8% |
59.5% |
58.6% |
57.9% |
57.3% |
Table 19: Asset concentration by fund size
This table shows, by fund size, the distribution of SMSFs that have 50% or more of their assets by value invested in one particular asset class.
These figures are estimates based on SMSF annual returns.
|
Fund size |
% of SMSFs with 100% concentration |
>=90% |
>=80% |
>=70% |
>=60% |
>=50% |
|---|---|---|---|---|---|---|
|
$1–$50k |
41.1% |
64.5% |
75.8% |
83.6% |
91.1% |
98.0% |
|
>$50k–$100k |
23.8% |
52.4% |
65.4% |
75.8% |
85.7% |
95.7% |
|
>$100k–$200k |
20.2% |
45.5% |
59.4% |
71.4% |
82.7% |
93.7% |
|
>$200k–$500k |
12.2% |
36.9% |
53.2% |
66.0% |
77.6% |
89.8% |
|
>$500k–$1m |
7.7% |
28.1% |
42.8% |
56.5% |
70.4% |
85.4% |
|
>$1m–$2m |
5.4% |
20.8% |
33.1% |
46.1% |
60.9% |
78.8% |
|
>$2m–$5m |
3.0% |
14.8% |
25.5% |
38.4% |
53.9% |
73.0% |
|
>$5m–$10m |
1.6% |
12.2% |
22.8% |
34.8% |
50.1% |
68.5% |
|
>$10m |
1.8% |
13.9% |
25.0% |
37.3% |
51.3% |
69.2% |
Table 20: Asset concentration by type
This table shows, by asset class, the distribution of SMSFs that have 50% or more of their assets by value invested in that asset class.
These figures are estimates based on SMSF annual returns.
|
Asset type |
% of SMSFs with 100% of asset class |
>=90% |
>=80% |
>=70% |
>=60% |
>=50% |
|---|---|---|---|---|---|---|
|
Listed trusts |
0.0% |
0.3% |
0.6% |
0.9% |
1.2% |
1.7% |
|
Unlisted trusts |
0.2% |
1.6% |
2.8% |
3.9% |
5.2% |
6.6% |
|
Insurance policy |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
|
Other managed investments |
0.1% |
1.1% |
1.8% |
2.4% |
3.0% |
3.6% |
|
Cash and term deposits |
8.7% |
12.7% |
14.9% |
17.3% |
20.3% |
24.0% |
|
Debt securities |
0.0% |
0.0% |
0.1% |
0.1% |
0.1% |
0.2% |
|
Loans |
0.0% |
0.2% |
0.3% |
0.4% |
0.5% |
0.5% |
|
Listed shares |
0.2% |
5.6% |
10.3% |
14.9% |
19.7% |
25.0% |
|
Unlisted shares |
0.0% |
0.2% |
0.3% |
0.5% |
0.6% |
0.7% |
|
Limited recourse borrowing arrangements |
0.2% |
3.6% |
5.5% |
6.6% |
7.3% |
7.8% |
|
Non-residential real property |
0.2% |
1.9% |
3.3% |
4.5% |
5.6% |
6.8% |
|
Residential real property |
0.1% |
1.5% |
2.4% |
3.3% |
4.1% |
4.9% |
|
Collectables and personal use assets |
0.0% |
0.0% |
0.0% |
0.1% |
0.1% |
0.1% |
|
Other assets |
0.4% |
0.9% |
1.1% |
1.4% |
1.6% |
1.9% |
|
Overseas shares |
0.0% |
0.0% |
0.1% |
0.1% |
0.2% |
0.2% |
|
Overseas non-residential real property |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
|
Overseas residential real property |
0.0% |
0.0% |
0.0% |
0.1% |
0.1% |
0.1% |
|
Overseas managed investments |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
|
Other overseas assets |
0.0% |
0.0% |
0.1% |
0.1% |
0.1% |
0.1% |
|
Total |
10.2% |
29.9% |
43.6% |
56.3% |
69.5% |
84.4% |
Table 21: Asset concentration by phase
This table shows the distribution of SMSFs in accumulation or pension phase that have 50% or more of their assets by value invested in one particular asset class.
These figures are estimates based on SMSF annual returns.
|
Asset concentration |
% of SMSFs in accumulation phase |
% of SMSFs in |
|---|---|---|
|
100% |
12.9% |
6.7% |
|
>=90% |
36.3% |
21.6% |
|
>=80% |
51.3% |
33.7% |
|
>=70% |
63.9% |
46.6% |
|
>=60% |
76.1% |
61.2% |
|
>=50% |
88.9% |
78.6% |
Table 22: Average returns for SMSFs and APRA-regulated funds
These tables show the average returns and the average return on assets (ROA) made by SMSFs and the average rate of return (ROR) made by APRA-regulated funds of more than four members for 2012–13 to 2016–17.
The ROA is calculated by determining the net earnings, and comparing this to average assets during the financial year to determine the percentage return on assets.
|
ROA (%) |
2012–13 |
2013–14 |
2014–15 |
2015–16 |
2016–17 |
|---|---|---|---|---|---|
|
SMSFs |
10.2 |
9.7 |
6.0 |
3.1 |
10.2 |
|
APRA funds |
13.9 |
11.7 |
8.9 |
2.9 |
9.1 |
|
ROA (%) |
No. of SMSFs 2012–13 |
2013–14 |
2014–15 |
2015–16 |
2016–17 |
|---|---|---|---|---|---|
|
<–20% |
21,353 |
13,560 |
17,346 |
17,330 |
11,739 |
|
–20% to <–15% |
5,476 |
4,241 |
6,041 |
8,053 |
4,449 |
|
–15% to <–10% |
8,753 |
7,555 |
11,161 |
18,208 |
8,516 |
|
–10% to <–5% |
15,798 |
16,237 |
24,325 |
49,162 |
17,358 |
|
–5% to 0% |
42,600 |
47,834 |
71,119 |
133,833 |
52,388 |
|
>0% to 5% |
93,545 |
108,286 |
165,912 |
162,496 |
110,111 |
|
>5% to 10% |
77,796 |
106,081 |
112,357 |
42,824 |
111,739 |
|
>10% |
164,234 |
147,698 |
56,961 |
39,943 |
112,142 |
|
Total |
429,555 |
451,492 |
465,222 |
471,849 |
428,442 |
Table 23: Average ROA by fund size and age
These tables show the average return on assets (ROA) of SMSFs by asset size and fund age. The ROA is calculated by determining the net earnings, and comparing this to average assets during the financial year to determine the percentage return on assets.
These figures are estimates based on SMSF annual returns.
|
Fund size |
2012–13 |
2013–14 |
2014–15 |
2015–16 |
2016–17 |
|---|---|---|---|---|---|
|
$1–$50k |
–17.29% |
–12.57% |
–17.43% |
–17.27% |
–14.67% |
|
>$50k–$100k |
–5.22% |
–2.86% |
–6.78% |
–7.27% |
–5.39% |
|
>$100k–$200k |
0.82% |
1.50% |
–1.05% |
–3.41% |
–0.48% |
|
>$200–$500k |
6.34% |
5.88% |
2.42% |
0.04% |
4.65% |
|
>$500k–$1m |
9.29% |
8.32% |
4.59% |
1.50% |
7.01% |
|
>$1m–$2m |
10.64% |
9.58% |
5.70% |
2.33% |
8.37% |
|
>$2m |
11.61% |
11.30% |
7.54% |
4.66% |
12.89% |
|
Fund age |
2012–13 |
2013–14 |
2014–15 |
2015–16 |
2016–17 |
|---|---|---|---|---|---|
|
Less than 2 years |
5.76% |
5.64% |
3.90% |
1.49% |
5.18% |
|
2 to 3 years |
7.22% |
6.80% |
4.83% |
2.52% |
8.30% |
|
4 to 5 years |
8.67% |
7.97% |
5.15% |
2.50% |
7.87% |
|
Older than 5 years |
10.65% |
10.14% |
6.23% |
3.22% |
10.55% |
Table 24: Expense ratios
These tables show SMSFs expense ratios. The expenses of an SMSF are calculated by summing various deductible and non-deductible expense labels from its income tax return. The total is then compared to its average assets to get a ratio of expenses to assets.
These figures are estimates based on SMSF annual returns.
|
Expense ratios |
2012–13 |
2013–14 |
2014–15 |
2015–16 |
2016–17 |
|---|---|---|---|---|---|
|
Administration and operating |
0.51% |
0.52% |
0.51% |
0.56% |
0.51% |
|
Investment |
0.55% |
0.59% |
0.64% |
0.69% |
0.66% |
|
Total |
1.06% |
1.11% |
1.15% |
1.26% |
1.17% |
|
Ratio range |
% of SMSFS Administration and operating expenses |
% of SMSFs Investment expenses |
% of SMSFs Total expenses |
|---|---|---|---|
|
<=0.25% |
21.2 |
25.9 |
12.1 |
|
>0.25–0.5% |
20.3 |
10.3 |
13.4 |
|
>0.5–0.75% |
13.3 |
9.3 |
10.4 |
|
>0.75–1% |
9.4 |
7.9 |
8.7 |
|
>1–1.5% |
12.8 |
11.3 |
13.8 |
|
>1.5–2% |
7.6 |
6.5 |
9.3 |
|
>2–3% |
7.5 |
6.8 |
10.1 |
|
>3–5% |
4.5 |
6.9 |
8.2 |
|
>5% |
3.4 |
15.0 |
14.0 |
|
Total |
100% |
100% |
100% |
For additional historical data for 2013 to 2016, see Data tables (XLXS, 598KB)This link will download a file
Table 25: Average expense ratios, by fund size
This table shows average SMSF expense ratios by fund size. The expenses of an SMSF are calculated by summing various deductible and non-deductible expense labels from its income tax return. The total is then compared to its average assets to get a ratio of expenses to assets.
These figures are estimates based on SMSF annual returns.
|
Fund size |
Administration and operating expenses |
Investment expenses |
Total expenses |
|---|---|---|---|
|
$1–$50k |
8.26% |
6.01% |
14.29% |
|
>$50k–$100k |
3.48% |
3.43% |
6.92% |
|
>$100k–$200k |
2.26% |
4.14% |
6.39% |
|
>$200k–$500k |
1.30% |
2.06% |
3.36% |
|
>$500k–$1m |
0.76% |
0.82% |
1.58% |
|
>$1m–$2m |
0.49% |
0.51% |
1.01% |
|
>$2m |
0.28% |
0.39% |
0.67% |
For additional historical data for 2013 to 2016, see Data tables (XLXS, 598KB)This link will download a file
Table 26: Types of contraventions reported to the ATO
This table shows the types of contraventions by SMSFs that have been reported to the ATO in auditor contravention reports lodged by SMSF auditors, since the start of contravention reporting in 2004 (up to 30 June 2018).
|
Contravention type |
% of total contraventions |
% of value of contraventions |
|---|---|---|
|
Acquisition of assets from related parties |
1.2% |
2.3% |
|
Administrative type contraventions |
10.5% |
2.9% |
|
Borrowings |
8.1% |
8.6% |
|
In-house assets |
18.8% |
27.8% |
|
Investments at arm's length |
7.6% |
8.1% |
|
Loan to member/financial assistance |
21.2% |
14.6% |
|
Operating standard type contraventions |
7.4% |
6.1% |
|
Other |
4.0% |
1.0% |
|
Separation of assets |
12.9% |
24.4% |
|
Sole purpose |
8.4% |
4.4% |
|
Total |
100% |
100% |
Table 27: Wind-ups by asset size, average and median assets and fund phase
These tables show the approximate distribution of SMSFs that report having wound up on their SMSF annual return by fund asset size in the year before wind-up, average and median assets in the year before wind-up, and fund phase in year of wind-up.
These figures are estimates based on SMSF annual returns.
|
Fund size |
% of SMSFs 2012–13 |
2013–14 |
2014–15 |
2015–16 |
2016–17 |
|---|---|---|---|---|---|
|
>$0–$50k |
38.7% |
30.7% |
27.8% |
25.7% |
20.2% |
|
>$50k–$100k |
13.1% |
13.2% |
12.6% |
11.5% |
10.2% |
|
>$100k–$200k |
16.9% |
17.5% |
17.8% |
17.6% |
17.5% |
|
>$200k–$500k |
20.5% |
24.1% |
24.6% |
26.1% |
28.9% |
|
>$500k–$1m |
7.5% |
10.1% |
12.0% |
13.0% |
16.0% |
|
>$1m–$2m |
2.5% |
3.3% |
3.8% |
4.6% |
5.3% |
|
>$2m–$5m |
0.7% |
0.9% |
1.2% |
1.4% |
1.7% |
|
>$5m |
0.1% |
0.1% |
0.1% |
0.2% |
0.3% |
|
Total |
100% |
100% |
100% |
100% |
100% |
|
|
2012–13 ($) |
2013–14 ($) |
2014–15 ($) |
2015–16 ($) |
2016–17 ($) |
|---|---|---|---|---|---|
|
Accumulation |
144,063 |
190,049 |
186,129 |
223,530 |
270,042 |
|
Pension |
386,190 |
424,201 |
459,713 |
483,936 |
572,737 |
|
Total |
224,136 |
275,111 |
290,933 |
326,225 |
382,864 |
|
|
2012–13 ($) |
2013–14 ($) |
2014–15 ($) |
2015–16 ($) |
2016–17 ($) |
|---|---|---|---|---|---|
|
Accumulation |
46,780 |
61,494 |
80,000 |
98,857 |
139,663 |
|
Pension |
230,766 |
264,623 |
301,114 |
307,782 |
376,808 |
|
Total |
91,550 |
116,331 |
141,851 |
166,784 |
212,335 |
|
|
% of SMSFs 2012–13 |
2013–14 |
2014–15 |
2015–16 |
2016–17 |
|---|---|---|---|---|---|
|
Accumulation |
73.1% |
68.3% |
66.3% |
64.2% |
64.5% |
|
Pension |
26.9% |
31.7% |
33.7% |
35.8% |
35.5% |
|
Total |
100.0% |
100.0% |
100.0% |
100.0% |
100.0% |
Table 28: Gender Statistics
These tables show the average member balance by gender and phase, the average balance by age and gender and the closing balance for female members by balance range (2016-17).
These figures are estimates based on SMSF annual returns, and are consistent with those reported in the Self-managed super fund statistical report, June 2018.
This table was updated in June 2024.
Average member balance by gender and phase
|
|
2012–13 |
2013–14 |
2014–15 |
2015–16 |
2016–17 |
|---|---|---|---|---|---|
|
Average SMSF member balance (accumulation) |
$243,649 |
$256,023 |
$264,797 |
$273,174 |
$307,485 |
|
Average SMSF member balance (pension) |
$821,759 |
$877,549 |
$906,938 |
$912,724 |
$1,007,600 |
|
Average SMSF member balance (total) |
$455,657 |
$489,691 |
$515,885 |
$530,488 |
$603,430 |
|
|
2012–13 |
2013–14 |
2014–15 |
2015–16 |
2016–17 |
|---|---|---|---|---|---|
|
Average SMSF member balance (accumulation) |
$332,725 |
$347,409 |
$353,878 |
$359,136 |
$393,334 |
|
Average SMSF member balance (pension) |
$985,132 |
$1,044,906 |
$1,073,936 |
$1,072,352 |
$1,164,017 |
|
Average SMSF member balance (total) |
$586,632 |
$624,598 |
$648,963 |
$659,860 |
$735,843 |
|
Age range |
Female |
Male |
Total |
|---|---|---|---|
|
< 25 |
60,776 |
60,296 |
60,523 |
|
25 – 34 |
84,670 |
100,452 |
92,738 |
|
35 – 44 |
143,276 |
184,442 |
164,010 |
|
45 – 49 |
235,503 |
295,273 |
265,461 |
|
50 – 54 |
357,149 |
462,779 |
410,585 |
|
55 – 59 |
566,327 |
685,265 |
627,354 |
|
60 – 64 |
799,439 |
937,547 |
870,320 |
|
65 – 69 |
928,549 |
1,049,184 |
992,003 |
|
70 – 74 |
985,184 |
1,134,889 |
1,068,163 |
|
75 – 84 |
1,031,515 |
1,152,513 |
1,104,174 |
|
85+ |
951,167 |
1,058,580 |
1,023,380 |
|
Unknown |
491,010 |
853,501 |
639,300 |
For additional historical data for 2012 to 2015, see Data tables (XLXS, 598KB)This link will download a file
|
Member balance range |
Female members |
% of female members |
|---|---|---|
|
$0 |
23,904 |
5.8% |
|
>$0–$50k |
59,419 |
14.4% |
|
>$50k–$100k |
44,085 |
10.7% |
|
>$100k–$200k |
58,947 |
14.3% |
|
>$200k–$500k |
89,535 |
21.7% |
|
>$500k–$1m |
70,338 |
17.0% |
|
>$1m–$2m |
44,540 |
10.8% |
|
>$2m–$5m |
19,091 |
4.6% |
|
>$5m–$10m |
2,557 |
0.6% |
|
>$10m |
485 |
0.1% |
|
Total |
412,901 |
100% |
For additional historical data for 2013 to 2016, see Data tables (XLXS, 598KB)This link will download a file