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of 34 Annual Workforce Profile Report 2018 August 2018

ANNUAL WORKFORCE PROFILE REPORT 2018

PEOPLE, TALENT AND CULTURE

Workforce Size by Employment Type ....................................................... 9

Workforce Size by Division/Portfolio ....................................................... 9

Workforce Size by Employment Type ....................................................... 7

Workforce Size by Division/Portfolio ....................................................... 7

AT A GLANCE .......................................................................................................2

Workforce Profile Summary (2016, 2017, 2018) ....................... 4

Workforce Size (excluding casuals) ................................................. 6

Workforce Size (including casuals)* ................................................ 9

Casual Workforce ..........................................................................................12

Academic Staff Qualifications .............................................................13

Staff Turnover ...................................................................................................15

Length of Service - Continuing and Fixed Term Staff ....... 17

Gender .................................................................................................................. 19

Age (excluding casuals) ..........................................................................22

Australian Aboriginal and/or Torres Strait Islander

Employment ....................................................................................................24

Country of Birth .............................................................................................25

Academic Promotions ..............................................................................26

Professional Staff Reclassifications .............................................. 28

Occupational Health and Safety ......................................................29

Definitions .........................................................................................................30

Table of CONTENTS


At a GLANCEThe Workforce Profile Report includes a range of key human resource indicators that profile the University workforce. The data is derived from the annual data collection provided to the Department of Education and Training and is either a snapshot (as at 31 March) or cumulative for the calendar year (1 January to 31 December). These data sets are combined for the corresponding year to present the workforce profile for that year. For example, Workforce Data (including casuals) for 2017 combines Continuing and Fixed Term FTE as at 31st March 2017 and Casual FTE from 1 January to 31 December 2017. The following table displays the timeframe associated with the data sets presented in the report.

31st March YYYY 1st January to 31st December YYYY

Continuing and Fixed Term Workforce

Academic Staff Qualifications

Length of Service

Gender

Age


Country of Birth

Casual Workforce

Turnover

Academic Promotions

Professional Staff Reclassifications

Occupational Health and Safety

Benchmark data is sourced from Australian Universities’ annual Department submissions and from the Universities’ Human Resources Benchmarking Program coordinated by the Australian Higher Education Industrial Association. The combined use of the current profile, benchmark and trend analysis data can be used to plan, implement and evaluate human resource policies and initiatives.

Definitions and a brief description of terms used in the report including formulas for calculating ratios are located on pages 32 – 36.

Academic Staff with Doctorate31 March 2018

76.7%+1.7% vs prior year

46% Level A78% Level B88% Level C98% Level D97% Level E

FTE(including casuals)

31 December 2017

3,072+143.4 FTE vs prior year

FTE31 March 2018

2,642+47.4% FTE vs prior year

1,769 continuing+0.5 FTE

873 fixed term+46.9 FTE


Women31 March 2018

48.4% at all academic levels-0.2% vs prior year

38% at Level D and above-0.5% vs prior year

59% Uni-wide+0.4% vs prior year

ATSI31 March 2018

Turnover31 December 2017

5.1%Involuntary

8.6%Voluntary

13.7%No change vs prior year

ATSI31 March 2018

38 (1.33%)+2 (0.5%) vs 2017

International(country of birth)

31 March 2018

21.5% +1.4% vs prior year

18%Professional

27%Academic

Median Age31 March 2018

44 years45 years Academic

42 years Professional{

Age31 March 2018

22.6% over 55 years of age

21.2% under 35years of age

Length of Service31 March 2018

9 years5 monthsMedian tenure

Academic Promotion Level D+31 December 2017

5 Women-6 vs prior year

14 Men+8 vs prior year

Lost Time Incidence Rate31 December 2017

0.1 (4 people)-0.4 (-11 people) vs prior year


Workforce Profile Summary (2016, 2017, 2018)

2016 2017 2018

Workforce (excluding casuals) FTE Percentage FTE Percentage FTE Percentage

Academic Staff 1061 43% 1122 43% 1131 43%

Professional Staff 1431 57% 1473 57% 1511 57%

Continuing Staff 1758 71% 1769 68% 1769 67%

Fixed-Term Contract Staff 734 29% 826 32% 873 33%

Total Staff (FTE) 2492 2595 2642

Total Staff (headcount) 2709 2816 2863

Ratio of Professional to Academic Staff (FTE) 1.35 1.31 1.34

Workforce (including casuals) FTE Percentage FTE Percentage FTE Percentage

Academic Staff 1385 47% 1473 48%

Professional Staff 1543 53% 1598 42%

Total Staff (FTE) 2928 3072

Ratio of Professional to Academic Staff (FTE) 1.11 1.08

Total Number of Payment Summaries Issued 6613 6513 6615

Casual Workforce FTE Percentage FTE Percentage FTE Percentage

Academic Staff as a percentage of Total Academic Staff (FTE)

324 23% 351 24%

Professional Staff as a percentage of Total Professional Staff ( FTE) 112 7% 125 8%

Total Casual Staff as a percentage of Total Staff (FTE)

436 15% 477 16%

Qualifications

Academic Staff Qualifications - Doctorate 74.7% 75.1% 76.7%

Staff Turnover Headcount % turnover Headcount % turnover Headcount % turnover

Voluntary Separations 236 9% 241 9%

Involuntary Separations 135 5% 145 5%

Total Staff Separations 371 14% 386 14%

Length of Service - Average Years

Academic 9 years 9 years 10 months 9 years

Professional 9 years 11 months 9 years 11 months 9 years 9 months

University-Wide 9 years 6 months 9 years 5 months 9 years 5 months

Gender

Female Academic Staff - Level D and Above 37% 39% 38%


2016 2017 2018

Female Academic Staff (FTE as % of All Academic Staff)

49% 49% 48%

Female Professional Staff – HEO10+ 45% 43% 42%

Female Professional Staff (FTE as % of All Professional Staff)

67% 66% 66%

Total Female Staff (FTE as % of Total Staff) 59% 58% 59%

Age

Academic Median Age 46 years 45 years 45 years

Professional Median Age 42 years 42 years 42 years

University-Wide Median Age 44 years 44 years 44 years


ATSI Staff (as % of total headcount) 0.9% 1.3% 1.3%

Career Development

Academic Staff Promotions (Level B to E) 55 55

Academic Promotion Application Rate 7.6% 6.6%

Academic Promotion Rate 5.4% 5.1%

Academic Promotion Success Rate 71% 79%

Professional Staff Reclassification Applications 17 21

Professional Staff Reclassifications 14 17


Workforce Size (excluding casuals)

Table 1: Total Staff, Academic, and Professional, 2004 – 2018 with % change and staff ratio

Year All Staff (FTE)

% change from previous year

Academic (FTE)

% change from previous year

Professional (FTE)

% change from

previous year

Ratio Professional to

Academic

2004 2086 4.1% 891 3.8% 1195 4.2% 1.34

2005 2103 0.8% 920 3.2% 1183 -1.0% 1.29

2006 2162 2.8% 956 4.0% 1205 1.9% 1.26

2007 2266 4.8% 1010 5.6% 1256 4.2% 1.24

2008 2395 5.7% 1043 3.3% 1352 7.6% 1.30

2009 2369 -1.1% 1030 -1.3% 1339 -1.0% 1.30

2010 2426 2.4% 1032 0.2% 1394 4.1% 1.35

2011 2575 6.2% 1102 6.7% 1473 5.7% 1.34

2012 2571 -0.1% 1093 -0.7% 1478 0.3% 1.35

2013 2619 1.9% 1110 1.5% 1509 2.1% 1.36

2014 2642 0.9% 1127 1.5% 1515 0.4% 1.34

2015 2596 -1.7% 1126 -0.1% 1470 -3.0% 1.31

2016 2492 -4.0% 1061 -5.7% 1431 -2.7% 1.35

2017 2595 4.1% 1122 5.7% 1473 2.9% 1.31

2018 2642 1.8% 1131 0.8% 1511 2.6% 1.34


Workforce Size by Employment Type Table 2: Continuing and Fixed-Term FTE by Academic and Professional, 2016 – 2018

University Total (FTE)

2016 2017 2018

Acad Prof Total Acad Prof Total Acad Prof Total

Continuing 616.5 1141.4 1757.8 613.6 1155.3 1768.9 628.7 1140.7 1769.4

Fixed Term 444.8 289.6 734.4 508.5 317.5 826 502.8 370.1 872.9

Total 1061 1431 2492 1122 1473 2595 1131 1511 2642

Table 3: Continuing and Fixed-Term percentage of FTE by Academic and Professional, 2016 – 2018

University Total (percentage of FTE)

2016 2017 2018


Continuing 58% 80% 71% 55% 78% 68% 56% 76% 67%

Fixed Term 42% 20% 29% 45% 22% 32% 44% 24% 33%

Workforce Size by Division/Portfolio Table 4: Total Staff FTE by Division/Portfolio (excluding casuals), 2016 – 2018

Division/Portfolio

Total FTE FTE change

from 2017 to

2018

% change from 2017

to 2018 2016 2017 2018

UniSA Business School 296.0 298.0 289.8 -8.24 -3%

Division: Education, Arts & Social Sciences 347.8 345.7 353.3 7.64 2%

Division: Health Sciences 491.5 512.9 513.3 0.41 0%

Division: Info Tech, Engineering & the Environment 262.3 287.1 300.3 13.17 5%

Chancellery 210.5 215.9 213.3 -2.66 -1%

Ext Relat & Strat Proj Portfolio 25.0 32.1 35.4 3.30 10%

Portfolio: Academic 291.3 334.6 359.8 25.13 8%

Portfolio: Research & Innovation 144.0 147.6 166.2 18.62 12%

Resources 418.9 420.9 410.9 -10.00 -2%

Non Division / Portfolio 5.0 0.0 0.0 0.00 /0

University Total 2492 2595 2642 47.4 2%


Table 5: Academic and Professional Staff by Division/Portfolio (FTE and Headcount excluding casuals), 2018

Division/Portfolio FTE (%) Total FTE Headcount

Acad Prof Acad Prof Total Acad Prof Total

UniSA Business School 61% 39% 176.7 113.1 290 190 125 315

Division: Education, Arts & Social Sciences 65% 35% 228.8 124.5 353 253 134 386

Division: Health Sciences 71% 29% 362.9 150.4 513 418 167 585

Division: Info Tech. Engineering & the Environment 70% 30% 209.0 91.2 300 217 95 312

Chancellery 4% 96% 8.2 205.1 213 9 220 229

Ext Relat & Strat Proj Portfolio 9% 91% 3.2 32.2 35 4 36 40

Portfolio: Academic 16% 84% 55.8 304.0 360 60 330 390

Portfolio: Research & Innovation 52% 48% 86.9 79.3 166 90 84 174

Resources 0% 100% 0.0 410.9 411 0 434 434

University Total 43% 57% 1131.5 1510.8 2642 1240 1624 2863

Table 6: Ratio of Fixed Term Staff (FTE) to Continuing Staff, Benchmarking Data

2015 2016 2017 2018

University of South Australia 0.47 0.42 0.47 0.49

Australian Technology Network 0.44 0.44 0.46 0.49

All Australian Institutions 0.50 0.49 0.51 0.53 Table 7: University Trend (excluding casuals)

University total 2016 2017 2018

Academic Staff (FTE) 1061 1122 1131

Professional Staff (FTE) 1431 1473 1511

University total (FTE) 2492 2595 2642

University total (headcount) 2709 2816 2863

Ratio of professional to academic staff (FTE) 1.35 1.31 1.34

Table 8: Ratio of Professional to Academic Staff (excluding casuals), Benchmarking Data

2015 2016 2017 2018

University of South Australia 1.31 1.35 1.31 1.34

Flinders University 1.36 1.36 1.31

The University of Adelaide 1.22 1.31 1.30

Australian Technology Network 1.44 1.41 1.40

All Australian Institutions 1.35 1.34 1.34


Workforce Size (including casuals)* Workforce Size by Employment Type * 2017 is current completed year, with casual FTE cumulative Jan – Dec and continuing/fixed term as at 31 March.

Table 9: Continuing, Fixed-Term and Casual FTE by Academic and Professional, 2015 - 2017

University Total (FTE)

2015 2016 2017


Continuing 622.4 1143.0 1765 616.5 1141.4 1758 613.6 1155.3 1769

Fixed Term 503.4 327.4 831 444.8 289.6 734 508.5 317.5 826

Casual 336.9 119.8 457 323.9 112.1 436 351.3 125.3 477

Total 1462.7 1590.1 3053 1385.1 1543.1 2928 1473.4 1598.1 3072

Table 10: Continuing, Fixed-Term and Casual FTE as a percentage of Total FTE by Academic and Professional, 2015 - 2017

University Total (% of FTE)

2015 2016 2017


Continuing 43% 72% 58% 45% 74% 60% 42% 72% 58%

Fixed Term 34% 21% 27% 32% 19% 25% 35% 20% 27%

Casual 23% 8% 15% 23% 7% 15% 24% 8% 16%

Workforce Size by Division/Portfolio

Table 11: Total Staff FTE by Division/Portfolio (including casuals), 2015 - 2017

Division/Portfolio


from 2016 to

2017

% change from 2016

to 2017 2015 2016 2017

UniSA Business School 336.6 364.1 364.9 0.8 0%

Division: Education, Arts & Social Sciences 477.0 436.0 441.8 5.7 1%

Division: Health Sciences 652.2 633.3 663.1 29.9 5%

Division: Info Tech. Engineering & the Environment 544.7 334.9 366.4 31.5 9%

Chancellery 215.0 217.0 223.0 6.0 3%

Ext Relat & Strat Proj Portfolio 20.6 29.0 36.5 7.5 26%

Portfolio: Academic 314.6 325.5 386.5 61.0 19%

Portfolio: Research & Innovation 28.2 148.2 155.9 7.8 5%

Resources 457.3 435.1 433.3 -1.8 0%

Non Division / Portfolio 6.5 5.0 0.0 -5.0 -100%

University Total 3053 2928 3072 143.4 5%


Table 12: Academic and Professional Staff FTE by Division/Portfolio (including casuals), 2017

Division/Portfolio FTE (%) Total FTE Headcount

Acad Prof Acad Prof Total Acad Prof Total

UniSA Business School 66% 34% 239.2 125.7 365 489 254 704

Division: Education, Arts & Social Sciences 74% 26% 325.9 115.8 442 866 239 1073

Division: Health Sciences 73% 27% 485.1 178.0 663 1112 380 1438

Division: Info Tech. Engineering & the Environment 72% 28% 264.2 102.2 366 595 189 762

Chancellery 3% 97% 7.6 215.4 223 9 308 316

Ext Relat & Strat Proj Portfolio 9% 91% 3.1 33.4 37 5 54 59

Portfolio: Academic 15% 85% 56.9 329.6 387 288 760 1035

Portfolio: Research & Innovation 58% 42% 90.9 65.0 156 115 82 193

Resources 0% 100% 0.4 432.9 433 1 500 501

University Total 48% 52% 1473.4 1598.1 3072 3295 2674 5746

Table 13: Academic Staff FTE by Division/Portfolio (including casuals), 2017

Division/Portfolio


from 2016 to

2017

% change from 2016 to 2017

2015 2016 2017

UniSA Business School 223.1 238.0 239.2 1.2 0.5%

Division: Education, Arts & Social Sciences 339.0 324.0 325.9 2.0 0.6%

Division: Health Sciences 463.6 441.2 485.1 43.9 9.1%

Division: Info Tech. Engineering & the Environment 381.2 235.3 264.2 29.0 11.0%

Chancellery 5.9 6.0 7.6 1.6 21.0%

Ext Relat & Strat Proj Portfolio 0.0 0.1 3.1 3.1 98.3%

Portfolio: Academic 48.1 49.6 56.9 7.4 12.9%

Portfolio: Research & Innovation 1.8 91.0 90.9 -0.1 -0.1%

Regional Engagement 0.0 0.0 0.4 0.4 100.0%

Resources 0.0 0.0 0.0 0.0 -

University Total 1462.7 1385.1 1473.4 88.3 6.0%


Table 14: Professional Staff FTE by Division/Portfolio (including casuals), 2017

Division/Portfolio


from 2016 to

2017

% change from

2016 to 2017 2015 2016 2017

UniSA Business School 113.5 126.1 125.7 -0.4 -0.3%

Division: Education, Arts & Social Sciences 138.0 112.0 115.8 3.8 3.4%

Division: Health Sciences 188.5 192.1 178.0 -14.0 -7.3%

Division: Info Tech, Engineering & the Environment 163.5 99.7 102.2 2.5 2.5%

Chancellery 209.1 211.0 215.4 4.4 2.1%

Ext Relat & Strat Proj Portfolio 20.6 28.9 33.4 4.5 15.4%

Portfolio: Academic 266.5 275.9 329.6 53.6 19.4%

Portfolio: Research & Innovation 26.4 57.2 65.0 7.8 13.7%

Resources 457.3 435.1 432.9 -2.2 -0.5%

Non Division / Portfolio 6.5 5.0 0.0 -5.0 -

University Total 1590.1 1543.1 1598.1 55.1 3.6%


Casual Workforce Table 15: Casual Academic and Professional Staff (FTE) by Division/Portfolio, 1 January 2017 to 31 December 2017

Division/Portfolio

Academic Professional University Total

FTE %

Academic workforce

FTE % Prof.

workforce FTE % total

workforce

UniSA Business School 52.5 22% 14.4 11% 66.89 18%

Division: Education, Arts & Social Sciences 87.4 27% 8.7 7% 96.06 22%

Division: Health Sciences 123.8 26% 26.4 15% 150.27 23%

Division: Info Tech. Engineering & the Environment 65.4 25% 13.9 14% 79.34 22%

Chancellery 0.0 0% 7.1 3% 7.12 3%

Ext Relat & Strat Proj Portfolio 0.1 4% 4.3 13% 4.38 12%

Portfolio: Academic 17.1 30% 34.7 11% 51.87 13%

Portfolio: Research & Innovation 4.5 5% 3.8 6% 8.32 5%

Resources 0.4 100% 12.0 3% 12.39 3%

University Total 351.3 23.8% 125.3 7.8% 476.63 15.5%

Table 16: University Trend

Casual Staff as a % of Total FTE 2015 2016 2017

Academic 23.0% 23.4% 23.8%

Professional 7.5% 7.3% 7.8%

Total 15.0% 14.9% 15.5%

Table 17: Casual Academic Staff as a percentage of Total Academic Staff, Benchmarking Data

2014 2015 2016 2017

University of South Australia 24.4% 23.0% 23.4% 23.8%

Flinders University 24.1% 25.4% 27.4%

The University of Adelaide 14.0% 15.2% 14.7%

Australian Technology Network 28.2% 27.8% 26.9%

All Australian Institutions 21.6% 22.8% 23.3%


Academic Staff Qualifications Table 18: Academic Staff Highest Qualification as a percentage of Academic Staff (headcount) by Division/Portfolio, 2018

Division/Portfolio Doctorate Masters Other Total

(Headcount)

UniSA Business School 82.1% 10.0% 7.9% 190

Division: Education, Arts & Social Sciences 70.0% 16.6% 13.4% 253

Division: Health Sciences 71.5% 9.8% 18.7% 418

Division: Info Technology Engineering & the Environment 88.0% 6.0% 6.0% 217

Chancellery 88.9% 11.1% - 9

Portfolio: Academic 60.0% 16.7% 23.3% 60

Ext Relat & Strat Proj Portfolio 75.0% - 25.0% 4

Portfolio: Research & Innovation 91.1% 2.2% 6.7% 90

University-wide 76.7% 10.3% 13.0% 1240

Table 19: Academic Staff Highest Qualification as a percentage of Academic Staff (headcount) by Classification, 2018

Division/Portfolio Doctorate Masters Other Total

(Headcount)

Senior Academic Staff 95.5% - 4.5% 44

Academic Staff Level E 96.9% 0.8% 2.3% 129

Academic Staff Level D 98.0% - 2.0% 101

Academic Staff Level C 87.8% 6.8% 5.4% 296

Academic Staff Level B 77.9% 14.2% 7.9% 367

Academic Staff Level A 46.2% 18.0% 35.7% 305

University-wide 76.7% 10.3% 13.0% 1240


Table 20: Doctorate Qualifications, Benchmarking Data 2015 2016 2017 2018




Australian Technology Network 73.7% 75.2% 75.8% 75.7%

All Australian Institutions 69.5% 69.4% 69.4% 71.8%


Staff Turnover Table 21: Total Voluntary and Involuntary Staff Separations by Academic and Professional, 1 January 2017 to 31 December 2017

Separations Academic Professional University Total

Involuntary 91 54 145

Voluntary 93 148 241

Total 184 202 386

Table 22: Number of Voluntary and Involuntary Staff Separations by Gender and Award (headcount), 1 January 2017 to 31 December 2017

Gender Award Involuntary Voluntary University

Total Total (%)

Female Academic 36 42 78 12.6%

Professional 36 103 139 13.0%

Total Female 72 145 217 12.9%

Male Academic 55 51 106 17.3%

Professional 18 45 63 12.2%

Total Male 73 96 169 15.0%

Total 145 241 386 13.7%

Table 23: Voluntary and Involuntary Staff Turnover by Division/Portfolio, 1 January 2017 to 31 December 2017

Division/Portfolio Invol-untary

Volun-tary Total

Invol-untary

(%)

Volun-tary

(%)

Total

(%)

UniSA Business School 14 29 43 4.4% 9.0% 13.4%

Division: Education, Arts & Social Sciences 23 20 43 6.0% 5.2% 11.3%

Division: Health Sciences 32 49 81 5.5% 8.3% 13.8%

Division: Info Tech. Engineering & the Environment 22 17 39 7.3% 5.6% 12.9%

Chancellery 6 26 32 2.6% 11.2% 13.7%

Ext Relat & Strat Proj Portfolio 1 3 4 2.7% 8.1% 10.8%

Portfolio: Academic 15 29 44 4.2% 8.1% 12.3%

Portfolio: Research & Innovation 24 29 53 15.8% 19.1% 34.9%

Resources 8 39 47 1.8% 8.8% 10.6%

University Total 145 241 386 5.1% 8.6% 13.7%


Table 24: University Trend by Turnover Type 2015 2016 2017

Involuntary 5.9% 5.0% 5.1%

Voluntary 9.5% 8.7% 8.6%

Total Turnover 15.4% 13.7% 13.7%

Table 25: Total Turnover, Benchmarking Data

2014 2015 2016 2017



All Australian Institutions 15.2% 15.6% 16.0% 16.5% Table 26: Voluntary Employee Initiated Turnover, Benchmarking Data

2014 2015 2016 2017





Length of Service - Continuing and Fixed Term Staff



Service 2016 2017 2018

Average length of service - Academic 9 years 9 years 10

months 9 years

Average length of service - Professional 9 years 11

months 9 years 11

months 9 years 9 months

Average length of service 9 years 6 months 9 years 5 months 9 years 5 months

Over 15 years service – Academic 20% 20% 22%

Over 15 years service – Professional 22% 22% 21%

Over 15 years service - total 21% 21% 22%

Table 28: Length of Service Profile, Benchmarking Data, 2018

Years Service

< 1 1 -3 3 - 5 5 - 10 10 - 15 15 +

University of South Australia 10.8% 16.3% 10.6% 25.1% 15.7% 21.6%

Australian Technology Network 13.6% 18.9% 13.5% 22.8% 13.6% 17.7%

All Australian Institutions 13.4% 19.2% 12.5% 23.3% 13.9% 17.6%


Gender Table 29: Total Workforce (excluding casuals) by Classification and Gender, 2018

Occupational Classifications FTE FTE (%)

Men Women Total Men Women

Senior Staff - Academic 28.0 15.6 43.6 64% 36%

Level E 73.5 38.0 111.5 66% 34%

Level D 55.1 42.7 97.8 56% 44%

Level C 160.1 125.4 285.5 56% 44%

Level B 162.1 175.6 337.6 48% 52%

Level A 104.7 150.8 255.5 41% 59%

Senior Staff - Professional 16.0 7.0 23.0 70% 30%

HEO10 26.4 24.1 50.5 52% 48%

HEO9 28.0 31.4 59.4 47% 53%

HEO8 65.2 116.9 182.1 36% 64%

HEO7 92.2 143.0 235.2 39% 61%

HEO6 97.4 172.4 269.8 36% 64%

HEO5 88.5 190.5 279.0 32% 68%

HEO4 79.3 282.5 361.9 22% 78%

HEO3 11.5 32.8 44.3 26% 74%

HEO2 2.7 2.0 4.7 58% 42%

HEO1 - - - - -

Trainee 0.0 1.0 1.0 0% 100%

Total 1090.8 1551.5 2642.3 41% 59%

Table 30: Female Staff by Academic and Professional and Division/ Portfolio, 2018

Division/Portfolio FTE FTE (%)

Acad Prof Total Acad Prof

UniSA Business School 77.6 97.8 175.3 43.9% 86.4%

Division: Education, Arts & Social Sciences 130.1 96.4 226.5 56.9% 77.4%

Division: Health Sciences 218.1 110.1 328.2 60.1% 73.2%

Division: Info Tech. Engineering & the Environment 48.8 55.4 104.2 23.3% 60.8%

Chancellery 2.6 158.9 161.5 31.7% 77.5%

Portfolio: Academic 36.9 217.5 254.4 66.1% 71.6%

Ext Relat & Strat Proj Portfolio 0.0 26.2 26.2 0.0% 81.4%

Portfolio: Research & Innovation 33.9 48.3 82.2 39.0% 60.9%

Resources 0.0 192.8 192.8 - 46.9%

Total 548.0 1003.5 1551.5 48.4% 66.4%



2016 2017 2018

Female academic staff (FTE as % all levels) 48.7% 48.6% 48.4%

Female academic Staff (FTE as % of Level D and above) 36.5% 38.6% 38.1%

Female professional staff (FTE as % of all levels) 66.9% 65.7% 66.4%

Female professional staff (FTE as % of HEO10+) 45.1% 42.8% 42.3%

Female staff (FTE as % of all levels) 59.1% 58.3% 58.7%

Table 32: Female Academic Staff – All Levels, Benchmarking Data

2015 2016 2017 2018





All Australian Institutions 44.3% 44.7% 45.1% Table 33: Female Academic Staff – Level D and Above, Benchmarking Data

2015 2016 2017 2018







Table 34: Female Professional Staff – All Levels, Benchmarking Data

2015 2016 2017 2018







Age (excluding casuals)

Table 35: Academic and Professional Staff (headcount) by Age and Gender, 2018

Classification / Gender Number of Staff in each Age Group

15-24 25-34 35-44 45-54 55+

Academic Female 1 114 193 161 154

Male 2 93 188 154 180

Total 3 207 381 315 334

Professional Female 20 269 329 285 204

Male 8 101 165 132 111

Total 28 370 494 417 315

Table 36: Age Profile by Division/Portfolio, compared to Australian Universities (headcount), 2018

Division/Portfolio Percentage of Staff in each Age Group % of staff

aged over 45 years 15-24 25-34 35-44 45-54 55+

UniSA Business School 1.3% 16.2% 27.3% 27.0% 28.3% 55.2%

Division: Education, Arts & Social Sciences 0.5% 11.4% 25.1% 26.7% 36.3% 63.0%

Division: Health Sciences 1.0% 20.7% 32.0% 25.5% 20.9% 46.3%

Division: Information Tech., Engineering & the Environment

0.6% 21.5% 30.1% 24.7% 23.1% 47.8%

Chancellery 3.9% 27.9% 28.4% 23.1% 16.6% 39.7%

Ext Relat & Strat Proj Portfolio 0.0% 22.5% 27.5% 30.0% 20.0% 50.0%

Portfolio: Academic 0.8% 24.6% 36.4% 21.8% 16.4% 38.2%

Portfolio: Research & Innovation 0.6% 32.8% 35.1% 20.1% 11.5% 31.6%

Resources 0.9% 15.9% 30.4% 30.4% 22.4% 52.8%

University Total 1.1% 20.2% 30.6% 25.5% 22.7% 48.2%

Australian Universities (average) 1.7% 20.9% 29.5% 26.5% 21.4% 47.9%

Table 37: Median Age of Academic Staff by Gender (years), 2018

Classifications Median Age

Male Female University-wide

Academic

Academic A 35 38 37

Academic B 41 43 42

Academic C 46 50 48

Academic D 48 52 51

Academic E 57 54 56

University-wide 45 45 45


Table 38: Median Age of Professional Staff by Gender (years), 2018



Professional HEW 1-5 41 42 42

HEW 6-10 43 42 43

University-wide 43 42 42

Table 39: Median Age of Senior Staff by Gender (years), 2018



Senior Staff Academic 55 57 55

Professional 51 53 52


2016 2017 2018

Academic staff median age 46 45 45

Professional staff median age 42 42 42

University-wide median age 44 44 44


Australian Aboriginal and/or Torres Strait Islander Employment Table 41: ATSI Employment as a percentage of Staff (headcount), 2018

Division/Portfolio ATSI employment (% of headcount)

UniSA Business School 0.6%

Division: Education, Arts & Social Sciences 1.6%

Division: Health Sciences 1.9%

Division: Info Technology, Engineering & the Environment -

Chancellery 2.6%

Ext Relat & Strat Proj Portfolio 5.0%

Portfolio: Academic 2.3%

Portfolio: Research & Innovation -

Resources 0.7%

University Total 1.3%

Table 42: ATSI Employment, Benchmarking Data

2015 2016 2017 2018

University of South Australia* 1.1% 0.9% 1.3% 1.3%






Country of Birth Table 43: Country of Birth as a percentage of Staff (Headcount), 2018

Country of Birth Academic Professional Total

Australia 23.5% 39.3% 32.5% International 26.2% 18% 21.5%

No Information 50.3% 42.7% 46%

Table 44: Top International Country of Birth as a percentage of Staff (Headcount) United Kingdom 4.2% 6.4% 5.4%

China 2.7% 1.2% 1.8% India 2.5% 1.0% 1.6%

Malaysia 0.7% 0.9% 0.8% New Zealand 0.6% 0.7% 0.7%

United States of America 1.0% 0.4% 0.6% Germany 1.0% 0.4% 0.6%

South Africa 0.6% 0.6% 0.6% Canada 0.8% 0.4% 0.6%

Vietnam 0.6% 0.4% 0.5% Singapore 0.2% 0.6% 0.5%

Other 11.3% 5.0% 7.7%

Other includes: Netherlands, Philippines, Italy, Hong Kong, Poland, South Korea, Ireland, Iran, Bangladesh, Sri Lanka, France, Zimbabwe, Russia, Turkey, Thailand, Paua New Guinea, Switzerland, Spain, Bosnia and Herzegovina, Croatia, Greece, Ukraine, Indonesia, Pakistan, Brazil, Austria, Serbia, Iraq, Taiwan, Korea, Kenya, Fiji, Denmark, Czechoslovakia, Egypt, Libya, Israel, Saudi Arabia, Japan, Argentina, Venezuela, Ghana, Nigeria, Mauritius, Tanzania, Uganda, Tonga, Belgium, Bulgaria, Romania, Estonia, Hungary, Lithuania, Slovakia, Algeria, Sudan, Jordan, Lebanon, Oman, United Arab Emirates, Cambodia, Nepal, Colombia, Peru, El Salvador, Liberia, Ethiopia, Namibia & Zambia.


Academic Promotions

Table 45: Number of Applications received for Academic Promotion, 1 January 2017 to 31 December 2017

Application for Promotion to Academic Level

BUE EASS HSC ITEE ALS R&I Total

Level B Male 3 - 3 - 1 - 7

Female 1 3 5 - 1 - 10

Level C Male 3 3 2 2 1 - 11

Female 3 5 6 1 1 - 16

Level D Male 1 1 3 6 - 2 13

Female 1 - 1 2 - - 4

Level E Male 1 1 - 4 - - 6

Female 1 - 2 - - - 3

Total Male 8 5 8 12 2 2 37

Female 6 8 14 3 2 - 33

University Total 14 13 22 15 4 2 70

Application for Promotion as a % of Academic Staff in Division/Portfolio

9.2% 5.3% 5.9% 8.3% 10.0% 2.7% 6.6%

Table 46: Number of Successful Applications for Academic Promotion, 1 January 2017 to 31 December 2017

Successful Promotion to Academic Level

BUE EASS HSC ITEE ALS R&I Total

Level B Male 3 - 2 0 1 - 6

Female 1 3 5 - 1 - 10

Level C Male 3 3 1 1 1 - 9

Female 2 5 3 1 - - 11

Level D Male 1 1 3 4 - 2 11

Female - - - 2 - - 2

Level E Male - 1 - 2 - - 3

Female 1 - 2 - - - 3

Total Male 7 5 6 7 2 2 29

Female 4 8 10 3 1 - 26

University Total 11 13 16 10 3 2 55

Successful Promotions as a % of Academic Staff in Division/Portfolio

7.2% 5.3% 4.3% 5.5% 7.5% 2.7% 5.1%



University-Wide Academic Promotions 2015 2016 2017

Number of Female Applications 43 40 33

Number of Male Applications 47 37 37

Number of Successful Women 31 33 26

Number of Successful Men 34 22 29

Academic Promotion Application Rate 8.3% 7.6% 6.6%

Academic Promotion Rate 6.0% 5.4% 5.1%

Promotion Success Rate 72% 71% 79%

Table 48: Academic Promotion Rate, Benchmarking Data

2014 2015 2016 2017



All Australian Institutions 5.2% 5.5% 5.8% 6.0% Table 49: Academic Promotion Application Rate, Benchmarking Data

2014 2015 2016 2017



All Australian Institutions 7.3% 7.5% 7.7% 7.8% Table 50: Promotion Success Rate, Benchmarking Data

2014 2015 2016 2017

University of South Australia 64% 72% 71% 79%

Australian Technology Network 65% 75% 78% 81%

All Australian Institutions 71% 73% 75% 77%


Professional Staff Reclassifications Table 51: Number of Applications for Reclassification evaluated by Classification Level, 1 January 2017 to 31 December 2017

Professional Staff Level Applications for

Reclassifications by Substantive Position

Classification Level Increased

Classification Level Remained the Same

HEO1 - - -

HEO2 - - -

HEO3 5 5 -

HEO4 4 3 1

HEO5 2 2 -

HEO6 5 4 1

HEO7 2 1 1

HEO8 2 1 1

HEO9 1 1 -

HEO10 - - -

University Total 21 17 4

Table 52: Number of Applications for Reclassification evaluated by Division/Portfolio, 1 January 2017 to 31 December 2017

Division / Portfolio Applications

UniSA Business School 1

Division: Education, Arts & Social Sciences -

Division: Health Sciences 6

Division: Information Tech. Engineering & the Environment 2

Chancellery 6

Ext Relat & Strat Proj Portfolio -

Portfolio: Academic 1

Portfolio: Research & Innovation 2

Resources 3

University Total 21


2015 2016 2017

Number of applications for reclassification 10 17 21

Number of applications resulting in an increased classification level 8 14 17

Percentage of applications resulting in an increased classification level 80% 82% 81%


Occupational Health and Safety

Table 54: Occupational Health and Safety Statistics, 1 January to 31 December, 2015 – 2017

2015 2016 2017

Lost Time Rate 16.3 5.8 2.4 Lost Time Incidence Rate 0.5 0.5 0.1 Injury Ratio 0.2 0.3 0.1 WHS Claim Rate 1.1 1.1 0.5 Notification Rate 0.2 0.2 0.1 Injury Report Rate 5.6 3.9 5.2

Table 55: Lost Time Rate, Benchmarking Data, 1 January to 31 December, 2015 – 2017

2015 2016 2017

University of South Australia 16.3 5.8 2.4


All Australian Institutions 9.2 9.4 545.4 Table 56: Lost Time Incidence Rate, Benchmarking Data, 1 January to 31 December, 2015 – 2017

2015 2016 2017



All Australian Institutions 0.5 0.4 0.3 Table 57: Injury Ratio, Benchmarking Data, 1 January to 31 December, 2015 – 2017

2015 2016 2017



All Australian Institutions 0.3 0.2 0.2 Table 58: WHS Claim Rate, Benchmarking Data, 1 January to 31 December, 2015 – 2017

2015 2016 2017



All Australian Institutions 1.4 1.1 0.9 Table 59: Notification Rate, Benchmarking Data, 1 January to 31 December, 2015 – 2017

2015 2016 2017



All Australian Institutions 0.1 0.9 0.2 Table 60: Injury Report Rate, Benchmarking Data, 1 January to 31 December, 2015 – 2017

2015 2016 2017



All Australian Institutions 5.0 5.6 4.4


Definitions Benchmarking Data Benchmarking data is sourced from DET (Department of Education) and AHEIA (Australian Higher Education Industrial Association) Universities Benchmarking Program submissions. Data Collection Timing Data is collected and presented in the report on a snapshot or cumulative basis. All snapshot data is taken as at the 31 March each year (for example, the number of continuing and fixed term staff as at 31 March). Data collected on a cumulative basis is taken over a 12 month period from 1 January to 31 December (for example, the result of separations is the total number of separations that occurred over the specified 12 month period). Totals may not add up due to rounding. Staff A staff member is a paid employee of the University in a fixed term, continuing, or casual basis. The category does not include people contracted through a third party.

Academic Staff An academic staff member is employed to primarily perform the academic functions of teaching and/or research.

Professional Staff Professional staff are those employees who are not employed as academic staff members, i.e. the employee does not perform the functions of teaching and research.

Headcount Headcount is the actual number of staff employed by the University, regardless of their full time equivalent.

FTE (Full time Equivalent) Number of full time equivalent staff is calculated by dividing the number of hours actually worked by the number of hours worked by a full time employee. E.g. a staff member who works half time will be counted as 0.5 FTE.

Ratio of Fixed Term Staff (FTE) to Continuing Staff

Total Fixed Term Staff (FTE) Total Continuing Staff (FTE)

The ratio of fixed term to continuing staff provides a profile of employment tenure within the workforce. The results for this ratio should be read as the ‘number of fixed term staff members for each continuing staff member’. For example, a result of 0.4 means that the university employs 0.4 fixed term staff members for each 1.0 continuing staff member. Ratio of Professional to Academic Staff (excluding casuals)

Professional Staff excluding Casuals (FTE) Academic Staff excluding Casuals (FTE)

Staffing ratios show the concentration of support and corporate staff compared to core-business staff (academics). This ratio gives an indication of the level of support (corporate and other service delivery) provided to enable the academic work of the university. Factors that may affect this measure include outsourcing of certain functions, service delivery differentiation and multi-campus operations. Casual Staff Casual staff are engaged by the hour and paid on an hourly basis. The data used describes the utilisation and payment of academic and professional casual staff across the University for the period 1 January to 31 December. It does not include any hours relating to payments made outside these dates for work performed during the period.

Full-time equivalence is derived using the prescribed DET formula:

FTE = (hours worked)


(F x N)

F = factor based on work performed prescribed as:

• 9 for lecturing • 25 for supervising or conducting demonstrations, tutorials, practicals or workshops • 35 for marking, research and all other work

N = number of weeks worked per year for various staff categories prescribed as:

• 28 for lecturing, tutoring and supervisory staff • 52 for marking, research and all other non-academic staff

Casual Academic Staff as a percentage of Total Academic Staff

Academic Casual Staff (FTE)

Total Academic Staff including Casuals (FTE) The percentage of academic casual staff relative to the overall academic population provides a profile of casualisation within the academic workforce.

Staff Turnover Turnover is defined as the ratio of staff that left the organisation to the average number of staff employed over a 12 month period. Turnover includes both voluntary and involuntary turnover and excludes casual staff.

Voluntary turnover represents the number of employees who initiated terminations of employment and includes:

• resignation • voluntary redundancy • retirement

Involuntary turnover represents the number of employer-initiated terminations of employment and includes:

• expiration of fixed-term contract employment • compulsory redundancy • dismissal • employment not continuing after probation

Turnover is calculated with the following formula:

Number of Staff terminated (headcount) x 100%

Average No. of staff for the 12 month period

Length of Service Profile The length of service profile shows the balance of organisation experience and fresh talent. A higher proportion of longer term employees may reflect the high levels of job satisfaction, job security and successful use of retention strategies. Alternatively a higher proportion of longer term employees may prompt consideration of issues including workforce regeneration, alignment of capabilities, staff development and succession management. A higher proportion of staff with shorter service may suggest turnover/retention issues, but may also reflect strategies to rejuvenate or expand the workforce.

Total Staff FTE of Length of Service Group Total Staff FTE

Female Participation The percentage of female staff relative to the overall university population demonstrates the gender balance within the workforce, which can be used to measure the effectiveness of equity activities within the organisation. Female Academic Staff – All Levels

Total Female (Academic) (FTE)


Total Staff (Academic) (FTE) Female Academic staff – Level D and Above

Total Female (Academic Level D and above) (FTE)

Total Staff (Academic Level D and above) (FTE) Female Professional staff – All Levels

Total Female (Professional) (FTE)

Total Staff (Professional) (FTE) Female Professional staff – HEO 10 and Above

Total Female (Professional HEO 10 and above) (FTE) Total Staff (Professional HEO 10 and above) (FTE)

Youth Employment Youth employment is defined as continuing and fixed-term employment of professional staff between 16 and 24 years of age.

The percentage is calculated as (FTE non-casual):

Total professional youth employed (FTE) x 100%

Total professional staff (FTE)

Indigenous Employment Indigenous staff are those who identify themselves as being of Aboriginal and/or Torres Strait Islander origin.

This percentage is calculated as:

Number of Indigenous Staff (headcount) x 100%

Total Staff (headcount) Doctoral Qualifications The Doctoral Qualifications measure is the percentage of Academic staff (continuing and fixed term) who have been awarded with a doctoral qualification. This gives an indication of the level of qualifications of the university’s academic staff.

Number of Academic Doctoral Qualifications (Headcount) _ Number of Academic Staff (Headcount)

Academic Promotion The academic promotion application rate is the rate of academic staff applying for academic promotion. It has been calculated using the following formula:

Number of academic staff applications for promotion A – D x 100%

Academic staff headcount Academic Levels A – D

The academic promotion rate is the rate of successful academic promotions. It has been calculated using the following formula:

Number of academic staff promoted A – D x 100

Academic staff headcount Academic Levels A – D


The academic promotion success rate is the rate of successful academic promotions in comparison with applications. It has been calculated using the following formula:

Number of academic staff promoted A – D x 100% Number of academic staff applications for promotion A – D Lost Time Rate The Lost Time Rate measures the amount of time lost due to work-related injuries per 100 employees. It is calculated as:

Days Lost to WHS Incidents

FTE Including Casuals / 100

Lost Time Incidence Rate The Lost Time Incidence Rate measures the number of workplace health and safety related occurrences per 100 FTE employees. Number of Lost Time Occurrences


Injury Ratio The injury ratio is a broad measure of the effectiveness of injury reporting and a broad indicator of the effectiveness of the university's WH&S management system. It is calculated as:

Number of injury reports

Number of Workers Compensation Claims

Workers Compensation Costs Total compensation costs per 100 FTE employees. It is calculated as:

(Salary Costs + Medical Costs + Rehabilitation Costs)


WHS Claim Rate WHS Claim Rate is the number of staff workers compensation claims made per 100 FTE. It is calculated as: Number of Staff Workers Compensation Claims


Notification Rate This is the number of notifications per 100 FTE employees. It is calculated as: Number of notifications



Injury Report Rate This is the number of injury reports from staff members per 100 FTE employees. It is calculated as: Number of injury reports


Contact information For further advice and information please contact: Daniel Byrnes, Manager: HR Information and Systems [email protected] or ext. 21619

mailto:[email protected]

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