Australian ICT Statistical Compendium 2011 - January 2012

AustrAliAn iCt stAtistiCAl Compendium 2011

1AustrAliAn Computer soCiety

AUSTRALIANCOMPUTERSOCIETY

Australian ICT StatisticalCompendium 2011

www.acs.org.au/2011compendium


AustrAliAn Computer soCiety2


2 Australian Computer society



Contents 4 Why this publication?

4 About the Australian Computer society

5 At A Glance

6 defining iCt

14 Who We Are

15 iCt employment demographics

16 learning iCt

24 Vocational education & training (Vet)

29 Women in iCt

35 Where We Work

38 iCt industry By state

46 What We do

50 iCt exports

52 iCt research

55 How We do it

56 How do We Compare?

62 Where Have We Come From – And Where Are We Going?

67 the nBn effect

72 How should We read this document?

73 About the Centre For innovative industries economic research inc

74 sources And Acknowledgments



the Australian Computer society (ACs) is the recognised professional association for those working in information and Communications technology, seeking to raise the standing of iCt professionals and represent their views to government, industry and the community. A member of the Australian Council of professions, the ACs is the guardian of professional

ethics and standards in the iCt sector, committed to ensuring the beneficial use of iCt for all Australians. it provides both members and non-members with opportunities for professional education, networking and certification, as well as enabling them to contribute to the development of their profession. Visit www.acs.org.au for more information.

About TheAustralian Computer Society


po Box Q534, QVB post office,

sydney nsW 1234

tel: +61 2 9299 3666

Fax: +61 2 9299 3997

We all recognise the difficulty of easily accessing relevant data (employment, educational outputs, research spend, etc.) on iCt economic and social trends. ACs, in cooperation with the Australian Bureau of statistics (ABs) and other relevant Government departments, engaged Ciier in 2009 and 2010 to develop an iCt statistical Compendium to combine quality iCt-related data into a single summary report, as part of the ACs commitment to improving iCt outcomes in Australia. the Compendiums have been very well received by the iCt profession, iCt industry, and by Governments around Australia, so this year, Ciier has again been engaged to provide an expanded version of the Compendium, including new analysis on the digital economy, more trend analysis, and discussions on improving iCt-related statistical data.

As with each edition, this Compendium does not include

all of the available data, but we have tried to amass a range of data addressing the main questions that arise. some data

included in the first publication – e.g. ABs iCt industry data, has again been substituted with later data from Ciier in this edition, as no later information was available from ABs. Where no later data could be identified, but the data is considered still highly relevant, information has been repeated.

the objective of this project was to produce a series of ‘snapshots’ of statistical data on the iCt workforce for ACs members, industry and government, and a potential ‘bible’ for iCt users, incorporating statistics on the Australian iCt sector, iCt higher and vocational education, iCt trade, iCt employment and skills, iCt immigration, with some breakdowns of the statistical data on a national and state/territory basis.

our aim is to continue to assist policymakers involved in the iCt sector by providing the latest available data, and to provide a tool for iCt professionals and the iCt industry, and for businesses that deal with the iCt sector.

Why This Publication?messAGe From tHe ACs

© Data in this publication is copyright to the attributed and referenced organisations, and this publication itself is also copyright. Other than for the purposes of and subject to the conditions prescribed under the Copyright Act, no part of it may be in any form or by any means (electronic, mechanical, microcopying, photocopying, recording or otherwise) be reproduced, stored in a retrieval system or transmitted without prior written permission.



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Defining ICT

one of the significant difficulties in understanding iCt in Australia is the frequent confusion between analysis of the iCt workforce in labour market terms (e.g. what job the individual performs), and analysing the iCt workforce in industry terms (e.g. what kind of organisation the individual worked for). Clearly iCt is evident in every industry sector, but unfortunately iCt is not yet always recognised statistically as an industry sector in its own right, and it will remain so until the current industry statistical metrics used in Australia are updated to reflect the pervasiveness and reality of iCt in the 21st century.

iCt broad employment occurs in a number of groupings. these include:

• the providers of iCt goods and services (usually called the iCt industry)

• the purchasers and users of iCt goods and services, including the government and private sectors, which also employ a large number of specialists to help them apply their iCt purchases

• the trainers, teachers and researchers in iCt who generally (but not always) operate within universities and colleges

• people who provide technical support to iCt, but who might, more properly, be categorised as electrical or electronics specialists

• people working in call-centres, or in desktop publishing and graphics design

there is a significant percentage of iCt professionals in the iCt industry, but iCt industry employment includes not only those professionals, but also many iCt non-professional technical, sales, logistical and administrative staff.

AnZsCo (Australia, new Zealand standard Classification of occupations) is a multi-level nomenclature essential to the understanding of employment statistics. the upper level (the 2-digit level) is meant to bring like occupations together so they can be aggregated. unfortunately, the iCt occupation grouping at this level leaves out some occupations that we, and others, would consider are, wholly or in part, within iCt. Accordingly, simple extracts from employment data of the “iCt” AnZsCo group can easily lead to inadvertent understatement of the actual position of iCt employment. in this report we have identified the key AnZsCo classes from which the iCt analysis is derived.

the ACs maintains a more appropriate classification of iCt occupations is required to understand the iCt sector and the “digital economy” in Australia, and thus inform iCt policy with a clear, verifiable set of metrics, potentially by reference to the skills Framework for the information Age.3

AnZsiC (Australia, new Zealand standard industry

Classification) is similarly structured to AnZsCo, and while it also has an upper-level iCt grouping (information media and telecommunications), which includes some small non-iCt elements, it unfortunately does not include the numerically larger software and services iCt industry sector, which is included as a misnamed subset (Computer

systems design) within the upper-level grouping “professional, scientific and technical services”.

“information media and telecommunications” also leaves out iCt hardware manufacture, iCt wholesale and retail trade, and iCt consulting sectors, which are scattered across a number of other AnZsiC classifications.

General economists, and other commentators, sometimes presume that “information media and telecommunications” in ABs data and government publications is the iCt industry, and make comment without realising that in employment terms, it is actually less than half of the employment of the “real” iCt industry.

this same analysis impacts their calculations of iCt revenue, exports and Gdp/GVA, which regularly become a synonym for economic importance, and are frequently understated for iCt, but overstated for the AnZsiC industry classifications in which the missing iCt industry sectors are hidden.

However, in this report we have tried, wherever possible, while not altering figures derived from these misleading categorisations, to indicate the estimated “true” value of the iCt industry component of each of these measures.

3 Skills Framework for the Information Age © http://www.sfia.org.uk

tHe iCt seCtor

AnZsCo And AnZsiC



parts of the iCt industry can be found in the following AnZsiC categories:

• professional, scientific and technical services• information media and telecommunications• retail trade• manufacturing• education and training• Wholesale trade• Arts and recreation services

major sectors within the industry include:

• it services, systems integration and software support• internet services and telecommunications• software and digital content development• Wholesale and retail distribution of software and

hardware• manufacture of iCt products and components

the ABs has measured the iCt industry intermittently as a specific exercise since 1996, with its last report now over five years old representing the period 2006-7 (cat 8126.0) and published in october 2008. this report was referenced for the iCt industry data in the 2009 ACs iCt statistical Compendium.

the Centre for innovative industries economic research inc has conducted an annual survey, since 1998, on a smaller survey sample, modelling the iCt industry in a similar manner to ABs. the iCt industry data for the 2011 statistical Compendium will draw upon Ciier’s december 2010 data, as the 2006-7 ABs data is now too far out of date to add meaningful value.

Further confusion is now arising with the use of the terms “digital economy” and “internet economy” to describe both those elements of the economic processes of all industries impacted by iCt, or by the specifics of internet-based iCt, and in some cases the productive elements (labour, infrastructure, etc.) that make these possible.

it is easier to accurately define Australia’s digital economy by what it is not, rather than by what it is. in the

broadest sense it is almost the entire domestic economy, other than those very small components of the economy that do not use any iCt support at all (e.g. subsistence farming or street musicians – unless they also distribute their outputs electronically). more logically, it is all of the iCt industry, and a significant proportion of almost every other economic sector that uses iCt. mining, healthcare, education, government, wholesale and retail trade, manufacturing, transport and other sectors all rely on iCt goods and services, and are therefore participants in the digital economy.

the internet economy can be defined as a varying subset of the digital economy. the variation is because the decision whether to use internet-based iCt or internal organisational iCt is one that is made for lots of different reasons – technical, financial, data security or operational control – and those decisions change over time. the distinction is also economically irrelevant, other than for iCt suppliers whose markets are internet-focused products and services. unfortunately, these terms are used interchangeably, and the more narrow definition of internet economy may therefore lead to conservative interpretations of the significance of the digital economy, and thus of the iCt industry and iCt profession that creates and maintains it.

the term “iCt industry” is also often used for a confusing range of different things, ranging from the “tight” definition of companies solely concerned with the provision of iCt products and services, but which includes companies with major units supplying iCt goods and services, through to a “looser” definition that may include retail iCt, that may include call centres that are mainly parts of other industries (e.g. banking), that may include significant sections of the electronics industries and of other professional services (e.g. management consultants and, historically, accountants), to a “broad” definition that can include anyone working on iCt-related matters in any industry.

“iCt industry” in this publication refers to the tighter ABs

and Ciier definitions; we have used the term “iCt worker” for the broader definition. the table below sets out a suggested model for the redefinition of the iCt industry, drawing upon existing AnZsiC structures.

tHe iCt industry



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in 2008, according to an Australian treasury paper4 and the ABs, it was not the mining sector that “rescued” Australia from the global financial crisis, but the services sectors, with the exception of the finance and insurance sector.

prior to the current resources boom, and notwithstanding data set limitations, Australian iCt contributed more to Australia’s Gdp than the mining sector.5

iCt services represent a large proportion of the remaining services.

iCt eConomiC ContriBution

Sectoral contributions to GDP growth Sep 2008-May 2008

Source ABS 5206.0 and Treasury

-1.20%

-1.00%

-0.80%

-0.60%

-0.40%

-0.20%

0.00%

0.20%

0.40%

0.60%Agriculture Mining Manufacturing

ICT and other servicesexcluding Finance and

Insurance Finance and Insurance Other sectors

4 The Australian economy and the global downturn – Part 2: The key quarters5 ABS ICT Satellite Account 2003, published 2006



in early 2011, the eminent economic analysts iBis published an industry sectoral analysis of fiscal contribution to Gross domestic product (Gdp) in 2010, derived from ABs data. Ciier reviewed this analysis, and found that (even excluding iCt manufacture, iCt

wholesaling and iCt retail, and some iCt consulting) the iCt industry sector contributes nearly 8 per cent of Australian Gdp. this was as much as the mining industry, and more than all other industry sectors, other than manufacturing, and finance and insurance.

Industry sector contribution to Australian GDP (2010)

7.74%

0.00% 2.00% 4.00% 6.00% 8.00% 10.00% 12.00%

Finance and Insurance

Manufacturing

Mining

Ownership of Dwellings

ICT, excluding ICT manufacture, wholesale and retail

Construction

Industry taxes et al

Property & Business Services (excluding ICT)

Health/Comm Services

Government Administration

Transport

Wholesale Trade

Retail trade

Education

Agriculture

Accommodation and Restaurants

Utilities

Personal Services

Cultural and Recreational Services



6 Del

oitt

e Ac

cess

Eco

nom

ics,

“The

Con

nect

ed C

ontin

ent”

Aug

201

17 C

IIER/

ABS

2011

in A

ugus

t 20

11, d

eloi

tte

Acce

ss e

cono

mic

s re

leas

ed a

pub

licat

ion

title

d “t

he C

onne

cted

Co

ntin

ent”,

whi

ch a

ttem

pted

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ts

Tota

l In

tern

atio

nal

Info

rmat

ion

Tech

nolo

gy

Tota

l

TOTA

LDo

mes

tic &

In

tern

atio

nal (

a)

ICT %

of To

tal

Stud

ents

at

Prov

ider

Dom

estic

ICT %

of

Tota

l ICT

at

this

Prov

ider

Vict

oria

Box H

ill In

stitu

te of

TAFE

6026

637

7197

337

28.78

%61

.86%

Deak

in Un

iversi

ty (b

)37

310

,870

193

3,801

566

14,67

13.8

6%65

.90%

La Tr

obe U

niver

sity

127

9,530

126

3,826

253

13,35

61.8

9%50

.20%

Melb

ourn

e Ins

titut

e of B

usine

ss an

d Tec

hnolo

gy30

724

139

1,740

169

2,464

6.86%

17.75

%

Melb

ourn

e Ins

titut

e of T

echn

ology

np18

8np

359

183

547

33.46

%np

Mon

ash C

olleg

e Gro

up10

7547

1,220

571,2

954.4

0%17

.54%

Mon

ash U

niver

sity

514

13,78

669

08,1

181,2

0421

,904

5.50%

42.69

%

RMIT

Unive

rsity

620

9,122

1043

10,49

31,6

6319

,615

8.48%

37.28

%

Swinb

urne

Univ

ersit

y of

Tech

nolog

y34

45,5

3644

23,6

1078

69,1

468.5

9%43

.77%

The U

niver

sity o

f Melb

ourn

e29

11,74

779

4,466

108

16,21

30.6

7%26

.85%

Unive

rsity

of Ba

llara

tnp

2,570

np2,6

2868

95,1

9813

.26%

np

Victo

ria U

niver

sity

131

6,645

389

2,900

520

9,545

5.45%

25.19

%

Stat

e Sub

-Tota

l, In

cludi

ng

Inst

itutio

ns W

ithou

t ICT

Co

mm

ence

men

ts2,

382

73,3

853,

913

46,1

956,

295

119,

580

5.26

%37

.84%

Com

men

Cin

G d

om

esti

C st

ud

ents

By

stAt

e, H

iGH

er e

du

CAt

ion

pro

Vid

er A

nd

Bro

Ad

Fie

ld o

F ed

uC

Atio

n, F

ull

yeA

r 20

10



Stat

e/Pr

ovid

erIn

form

atio

n Te

chno

logy

Do

mes

tic

Tota

lDo

mes

tic (a

)

ICT

Inte

rnat

iona

l St

uden

ts

Tota

l In

tern

atio

nal

Info

rmat

ion

Tech

nolo

gy

Tota

l

TOTA

LDo

mes

tic &

Inte

rnat

iona

l (a)

ICT %

of To

tal

Stud

ents

at

Prov

ider

Dom

estic

ICT %

of

Tota

l ICT

at

this

Prov

ider

Quee

nsla

nd

Bond

Univ

ersit

y33

1,622

321,8

4365

3,465

1.88%

50.77

%

Cent

ral Q

ueen

sland

Univ

ersit

y17

55,9

1372

53,9

7090

09,8

839.1

1%19

.44%

Griffi

th U

niver

sity

247

12,32

515

25,8

9539

918

,220

2.19%

61.90

%

Jam

es Co

ok U

niver

sity

120

5,100

225

2,577

345

7,677

4.49%

34.78

%

Quee

nslan

d Ins

titut

e of B

usine

ss an

d Tec

hnolo

gy27

230

391,2

3066

1,460

4.52%

40.91

%

Quee

nslan

d Univ

ersit

y of

Tech

nolog

y66

612

,723

323

3,319

989

16,04

26.1

7%67

.34%

The U

niver

sity o

f Que

ensla

nd22

611

,158

155

5,039

381

16,19

72.3

5%59

.32%

Unive

rsity

of So

uthe

rn Q

ueen

sland

139

8,045

224

2,812

363

10,85

73.3

4%38

.29%

Unive

rsity

of th

e Sun

shine

Coas

t56

3,564

497

460

4,538

1.32%

93.33

%

Stat

e Sub

-Tota

l, In

cludi

ng

Inst

itutio

ns W

ithou

t ICT

Co

mm

ence

men

ts1,

689

62,9

111,

879

27,6

973,

568

90,6

083.

94%

47.3

4%

Com

men

Cin

G d

om

esti

C st

ud

ents

By

stAt

e, H

iGH

er e

du

CAt

ion

pro

Vid

er A

nd

Bro

Ad

Fie

ld o

F ed

uC

Atio

n, F

ull

yeA

r 20

10

Wes

tern

Aus

tral

ia

Curti

n Int

erna

tiona

l Coll

ege

1010

528

1213

381,3

182.8

8%26

.32%

Curti

n Univ

ersit

y of T

echn

ology

215

10,07

120

275

0841

717

,579

2.37%

51.56

%

Edith

Cowa

n Univ

ersit

y28

29,4

2332

627

1460

812

,137

5.01%

46.38

%

Mur

doch

Univ

ersit

y13

24,5

4413

120

6526

36,6

093.9

8%50

.19%

Perth

Insti

tute

of Bu

sines

s and

Te

chno

logy

1041

2048

230

523

5.74%

33.33

%

The U

niver

sity o

f Wes

tern

Austr

alia

104

5,831

5718

5816

17,6

892.0

9%64

.60%

Stat

e Sub

-Tota

l, In

cludi

ng

Inst

itutio

ns W

ithou

t ICT

Co

mm

ence

men

ts73

933

,513

778

16,2

241,

517

49,7

373.

05%

48.7

1%



Stat

e/Pr

ovid

erIn

form

atio

n Te

chno

logy

Do

mes

tic

Tota

lDo

mes

tic (a

)

ICT

Inte

rnat

iona

l St

uden

ts

Tota

l In

tern

atio

nal

Info

rmat

ion

Tech

nolo

gy

Tota

l

TOTA

LDo

mes

tic &

In

tern

atio

nal (

a)

ICT %

of to

tal

Stud

ents

at

Prov

ider

Dom

estic

ICT %

of

Tota

l ICT

at

this

Prov

ider

Sout

h Au

stra

lia

Carn

egie

Mell

on U

niver

sity

1010

1444

2454

44.44

%41

.67%

Educ

ation

al En

terp

rises

Austr

alia

Pty L

td10

1214

322

2433

47.1

9%41

.67%

Sout

h Aus

tralia

n Ins

titut

e of

Busin

ess a

nd Te

chno

logy

1717

233

526

5069

87.1

6%34

.00%

The F

linde

rs Un

iversi

ty

110

6,178

411,5

9215

17,7

701.9

4%72

.85%

The U

niver

sity o

f Ade

laide

606,0

9315

02,9

6721

09,0

602.3

2%28

.57%

Unive

rsity

of So

uth A

ustra

lia30

48,5

4891

4,270

395

12,81

83.0

8%76

.96%

Stat

e Sub

-Tota

l, In

cludi

ng

Inst

itutio

ns W

ithou

t ICT

Co

mm

ence

men

ts49

421

,644

360

10,1

3885

431

,782

2.69

%57

.85%

Com

men

Cin

G d

om

esti

C st

ud

ents

By

stAt

e, H

iGH

er e

du

CAt

ion

pro

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er A

nd

Bro

Ad

Fie

ld o

F ed

uC

Atio

n, F

ull

yeA

r 20

10

Tasm

ania

Unive

rsity

of Ta

sman

ia20

68,5

7258

62,7

0579

211

,277

7.02%

26.01

%

Stat

e Sub

-Tota

l, In

cludi

ng

Inst

itutio

ns W

ithou

t ICT

Co

mm

ence

men

ts20

68,

621

586

2,70

679

211

,327

6.99

%26

.01%

Nort

hern

Terri

tory

Char

les D

arwi

n Univ

ersit

y40

3,474

2829

768

3,771

1.80%

58.82

%

Stat

e Sub

-Tota

l, In

cludi

ng

Inst

itutio

ns W

ithou

t ICT

Co

mm

ence

men

ts40

3,66

428

297

683,

961

1.72

%58

.82%



Stat

e/Pr

ovid

erIn

form

atio

n Te

chno

logy

Do

mes

tic

Tota

l Do

mes

tic(a

)

ICT

Inte

rnat

iona

l St

uden

ts

Tota

l In

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atio

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Info

rmat

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Tech

nolo

gy

Tota

l

TOTA

L Do

mes

tic &

In

tern

atio

nal(a

)

ICT %

of To

tal

Stud

ents

at

Prov

ider

Dom

estic

ICT %

of

Tota

l ICT

at

this

Prov

ider

Aust

ralia

n Ca

pita

l Ter

ritor

y

Canb

erra

Insti

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of Te

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logy

1554

00

1554

27.78

%10

0.00%

The A

ustra

lian N

ation

al Un

iversi

ty90

4,931

942,3

2518

47,2

562.5

4%48

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Unive

rsity

of Ca

nber

ra19

95,0

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31,8

2343

26,9

026.2

6%46

.06%

Stat

e Sub

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l, In

cludi

ng

Inst

itutio

ns W

ithou

t ICT

Co

mm

ence

men

ts30

410

,064

327

4,14

863

114

,212

4.44

%48

.18%

Aust

ralia

n To

tal

2010

8,704

336,3

7110

,822

151,5

4619

,526

487,9

174.0

0%44

.58%

2009

8,328

315,9

6812

,243

154,5

6920

,571

470,5

374.3

7%40

.48%

2008

7,470

288,2

2811

,896

141,1

3119

,366

429,3

594.5

1%38

.57%

2007

7,839

281,6

2510

,384

126,7

0918

,223

408,3

344.4

6%43

.02%

2006

8,198

270,2

3610

,087

111,4

6318

,285

381,6

994.7

9%44

.83%

tota

l iC

t hi

gher

edu

catio

n co

mm

ence

men

ts h

ave

decl

ined

to 2

008

leve

ls, b

ut w

ith a

hig

her p

ropo

rtio

n of

dom

estic

stu

dent

s, al

mos

t to

2006

leve

ls.

iCt

com

men

cem

ents

con

tinue

d to

de

clin

e in

200

9 –

as a

per

cent

age

of to

tal s

tude

nts,

to 4

per

cen

t of t

he to

tal s

tude

nt b

ody.

Com

men

Cin

G d

om

esti

C st

ud

ents

By

stAt

e, H

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du

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ion

pro

Vid

er A

nd

Bro

Ad

Fie

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uC

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n, F

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r 20

10

Mul

ti-St

ate

Stat

e Sub

-Tota

l, In

cludi

ng

Inst

itutio

ns W

ithou

t ICT

Co

mm

ence

men

tsnp

8,14

61,

828

649,

974

0.64

%np



C

omm

enci

ng IC

T st

uden

ts in

Hig

her E

duca

tion,

200

6-20

10

0

5000

10,0

00

15,0

00

20,0

00

25,0

00

2006

2007

2008

2009

2010

Dom

estic

ICT

stud

ent c

omm

ence

men

ts

Inte

rnat

iona

l IC

T st

uden

t com

men

cem

ents

Tota

l IC

T st

uden

t com

men

cem

ents



C

omm

enci

ng IC

T st

uden

t per

cent

ages

200

6-20

10

ICT

% o

f all

dom

estic

stu

dent

s,

2.59

%

ICT

% o

f all

stud

ents

, 4.0

0%

0.00

%

1.00

%

2.00

%

3.00

%

4.00

%

5.00

%

6.00

%

2006

2007

2008

2009

2010

ICT

% o

f all

dom

estic

stu

dent

s

ICT

% o

f all

stud

ents



Voca

tion

al E

duca

tion

& T

rain

ing

(VE

T)

20

0220

0320

0420

0520

0620

0720

0820

0920

10

ICA –

Info

rmat

ion an

d Com

mun

icatio

ns Te

chno

logy E

nrolm

ents

(ICA Q

ualifi

catio

ns in

this

Cont

ext R

elate

to IT

Skills

)60

,282

63,76

955

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52,10

354

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50,02

749

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47,22

544

,197

ICT –

Telec

omm

unica

tions

Enro

lmen

ts

(ICT Q

ualifi

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this

Cont

ext R

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mun

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ns Sk

ills)

12,53

812

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10,52

69,9

759,8

8710

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12,52

35,5

511,8

81

Tota

l of t

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lifica

tions

74,8

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4862

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78

20

02(‘0

00)

2003

(‘000

)20

04(‘0

00)

2005

(‘000

)20

06(‘0

00)

2007

(‘000

)20

08(‘0

00)

2009

(‘000

)20

10(‘0

00)

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Sout

h Wale

s45

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Victo

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nslan

d19

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h Aus

tralia

5.85.0

3.23.3

3.12.3

1.81.9

1.8

Wes

tern

Austr

alia

11.3

11.2

8.88.1

7.13.5

3.13.2

2.9

Tasm

ania

3.03.2

3.23.0

2.81.3

1.21.1

1

North

ern T

errit

ory

1.71.5

1.61.3

1.00.4

0.20.2

0.1

Austr

alian

Capit

al Te

rrito

ry2.4

2.62.0

1.91.7

1.51.6

21.4

Austr

alia

108.0

95.5

80.0

73.8

70.6

45.9

4241

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Austr

alia A

ll Cou

rses

1995

.520

50.1

1923

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00.0

1988

.819

93.8

2031

2044

.722

14.2

ICT Pe

rcent

age

5.41%

4.66%

4.16%

3.89%

3.55%

2.30%

2.07%

2.04%

2.26%

nCV

er n

ote

that

this

dat

a is

lim

ited

to p

ublic

ly fu

nded

Vet

act

ivity

. the

priv

ate

Vet

trai

ning

mar

ket i

s al

so s

ubst

antia

l. n

CVer

indi

cate

d in

200

5 th

at it

was

app

roxi

mat

ely

the

sam

e si

ze a

s th

e pu

blic

ly fu

nded

Vet

mar

ket.

the

qual

ifica

tions

dat

a is

lim

ited

to th

ose

trai

ning

pac

kage

qua

lifica

tions

with

in th

e iC

A a

nd iC

t tr

aini

ng p

acka

ges.

in a

dditi

on to

the

liste

d qu

alifi

catio

ns a

la

rge

num

ber o

f stu

dent

s un

dert

ake

Vet

with

no

inte

ntio

n of

ach

ievi

ng a

qua

lifica

tion,

just

to s

tudy

par

t of a

qua

lifica

tion,

ther

efor

e th

ere

are

man

y ‘su

bjec

t onl

y’ s

tude

nts

who

may

mee

t th

e iC

t pr

ofile

, but

as

they

are

not

list

ed a

s be

ing

enro

lled

in a

qua

lifica

tion

they

are

not

refle

cted

in th

e en

rolm

ents

dat

a. A

dditi

onal

ly, m

any

Vet

stud

ents

und

erta

ke n

on-t

rain

ing

pack

age

qual

ifica

tions

(e.g

. nat

iona

lly o

r loc

ally

end

orse

d qu

alifi

catio

ns);

som

e of

thes

e m

ay b

e iC

t qu

alifi

catio

ns. e

nrol

men

ts in

clud

e al

l tho

se e

nrol

men

ts w

ithin

a g

iven

yea

r; bo

th c

omm

enci

ng

and

cont

inui

ng s

tude

nts.

spec

ific

qual

ifica

tion

data

whe

n m

easu

red

over

tim

e sh

ould

be

trea

ted

with

car

e as

qua

lifica

tions

tend

to ta

ke a

few

yea

rs to

bec

ome

wid

ely

adop

ted,

and

are

gr

adua

lly p

hase

d ou

t onc

e th

ey a

re s

uper

sede

d.

15 H

isto

rical

tim

e se

ries o

f voc

atio

nal e

duca

tion

and

trai

ning

in A

ustr

alia

, 198

1–20

08, N

CVER

VET

Pro

vide

r Col

lect

ion

puBl

iCly

Fu

nd

ed V

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nro

lmen

ts A

nd

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s 20

02-2

010

inFo

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teC

Hn

olo

Gy

Vet

Cou

rse

enro

lmen

ts B

y st

Ate

An

d t

erri

tory

, 200

2-20

1015



Info

rmat

ion

Tech

nolo

gy V

ET e

nrol

men

ts 2

002-

2010

020406080100

120

2002

2003

2004

2005

2006

2007

2008

2009

2010

'000 enrolled

0.00

%

1.00

%

2.00

%

3.00

%

4.00

%

5.00

%

6.00

%

7.00

%

8.00

%

ICT %

Info

rmat

ion

Tech

nolo

gy V

ET e

nrol

men

ts '0

00

ICT

Perc

enta

ge o

f all

VET

cour

ses



In

form

atio

n Te

chno

logy

VET

enr

olm

ents

by

Stat

e 20

02-2

010

05101520253035404550

2002

2003

2004

2005

2006

2007

2008

2009

2010

NSW

VIC

Qld

SA WA

TAS

NT

ACT

iCt

Vet

enro

lmen

ts c

ontin

ued

to d

eclin

e to

200

8, a

nd in

mos

t sta

tes

to 2

010.

the

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IC

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00

12,0

00

14,0

00

16,0

00

2005

-200

620

06-2

007

2007

-200

820

08-2

009

2009

-201

0

No.

per

ann

um

0.00

%

2.00

%

4.00

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6.00

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10.0

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Perc

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457

entra

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ICT

per c

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Perio

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T % of

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811

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ows:

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spec

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2008

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511

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Popu

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flows

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spec

ts 20

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Editi

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2009

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067

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timat

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sed o

n Lim

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NZSC

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onl

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IC

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003-

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0

5,00

0

10,0

00

15,0

00

20,0

00

25,0

00

30,0

00

35,0

00

2003

2004

2005

2006

2007

2008

2009

ICT

Tem

pora

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kille

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igra

tion

(new

457

vis

as)

ICT

perm

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W

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IC

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aff b

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dust

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0

5000

10,0

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15,0

00

20,0

00

25,0

00

30,0

00

35,0

00

40,0

00

45,0

00

50,0

00

Industry sector

Professional,Scientific and

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and Safety

Financial andInsurance Services

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Retail Trade

Education andTraining

Health Care andSocial Assistance

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Administrative andSupport Services

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0.0%

5.0%

10.0

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15.0

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20.0

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are

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pani

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W

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in IC

T, J

ob n

umbe

rs a

nd fe

mal

e pe

rcen

tage

s

0

1000

2000

3000

4000

5000

6000

7000

1351 ICT Managers

2232 ICT Trainers

2247 Managementand Organisation

Analysts2249 Other

Information andOrganisation

2252 ICT SalesProfessionals

2324 Graphic andWeb Designers, and

Illustrators2600 ICT

Professionals nfd2610 Business andSystems Analysts,and Programmers2611 ICT Business

and SystemsAnalysts

2612 MultimediaSpecialists and Web

Developers2613 Software and

ApplicationsProgrammers

2621 Database andSystems

Administrators, and2630 ICT Network

and SupportProfessionals nfd

2631 ComputerNetwork

Professionals2632 ICT Support

and Test Engineers2633

TelecommunicationsEngineering3124 Electronic

EngineeringDraftspersons and3130 ICT and

TelecommunicationsTechnicians nfd3131 ICT Support

Technicians3132

TelecommunicationsTechnical Specialists3420 Electronics andTelecommunicationsTrades Workers nfd

3423 ElectronicsTrades Workers

3424Telecommunications

Trades Workers6212 ICT Sales

Assistants

0.0%

10.0

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30.0

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40.0

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60.0

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70.0

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80.0

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T In

dust

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elec

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ICT

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So

ftw

are &

Se

rvice

s Fem

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1351

ICT M

anag

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9,178

1,848

2,509

21.4%

27.3%

21.3%

2232

ICT T

raine

rs2,7

670

053

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–

2247

Man

agem

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18,69

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Oth

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2252

ICT S

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211,0

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and I

llustr

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3,116

47.2%

56.3%

29.2%

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ICT P

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siona

ls nf

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240

392

11.6%

–8.2

%

2610

Busin

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s Ana

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fd0

00

––

–

2611

ICT B

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4,672

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805

00

7.3%

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2613

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plica

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876

4,384

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Dat

abas

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1,940

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2630

ICT N

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00.0

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2631

Com

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2,463

331

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10.7%

13.3%

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2632

ICT S

uppo

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60

134

3.8%

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2633

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unica

tions

Engin

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1,912

1,296

115

13.8%

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100.0

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3124

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eerin

g Dra

ftspe

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and T

echn

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00

2.5%

––

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mun

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fd0

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––

–

3131

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10,87

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12,9

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3132

Telec

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tions

Tech

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Spec

ialist

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342

10

17.4%

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3420

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370

427

4.9%

21.4%

3424

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761,7

760

7.1%

10.2%

–

6212

ICT S

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ssista

nts

10,31

96,2

651,3

2845

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Tota

l ICT

occu

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ns13

1,05

918

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21,4

1124

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26.3

%16

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Tota

l Em

ploy

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all A

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152,

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37,9

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18 Fe

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W

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in IC

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201

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ext

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1351

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Man

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2232

ICT

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2631

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Mul

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Bus

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ICT

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2

3131

ICT

Sup

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3132

Tel

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mun

icat

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Te

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73

3423

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3424

Tel

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mun

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76

6212

ICT

Sal

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9



Av

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in IC

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AB

S 63

02.0

May

201

1

$1,5

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24

$992

$0

$200

$400

$600

$800

$1,0

00

$1,2

00

$1,4

00

$1,6

00

$1,8

00 Aug-94 Feb-95 Aug-95 Feb-96 Aug-96 Feb-97 Aug-97 Feb-98 Aug-98 Feb-99 Aug-99 Feb-00 Aug-00 Feb-01 Aug-01 Feb-02 Aug-02 Feb-03 Aug-03 Feb-04 Aug-04 Feb-05 Aug-05 Feb-06 Aug-06 Feb-07 Aug-07 Feb-08 Aug-08 Feb-09 Aug-09 Feb-10 Aug-10 Feb-11

Mal

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ear

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Tech

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19 E

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Code

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17,04

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6,628

1,767

2,066

352

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2232

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raine

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191,6

4077

719

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111

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8

2247

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113

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6,303

2,411

3,212

534

191

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2249

Oth

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6,230

5,547

2,749

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1,434

225

244

1,046

2252

ICT S

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8319

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212

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8,502

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curit

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2,151

2,730

997

243

1,581

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Telec

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60

00

00

3131

ICT S

uppo

rt Te

chnic

ians

19,54

713

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9,881

3,563

5,163

572

280

2,435

3132

Telec

omm

unica

tions

Tech

nical

Spec

ialist

s1,3

692,0

741,0

8017

60

115

7513

5

3423

Elec

tronic

s Tra

des W

orke

rs99

788

10

214

280

107

012

9

3424

Telec

omm

unica

tions

Trad

es W

orke

rs9,3

994,9

765,2

962,1

792,2

5646

830

817

0

6212

ICT S

ales A

ssista

nts

5,295

5,469

6,548

2,479

1,931

805

017

2

Tota

l wor

king i

n ICT

occu

patio

ns in

all in

dustr

ies17

0,509

139,6

0966

,668

23,23

533

,518

6,129

2,825

21,47

7

ICT oc

cupa

tion %

of to

tal S

tate

/Terri

tory

emplo

ymen

t4.7

1%4.8

4%2.9

0%2.8

5%2.7

7%2.5

9%2.3

0%10

.61%



20 E

lect

roni

cs a

nd g

raph

ic d

esig

n w

orke

rs in

all

indu

stry

sect

ors h

ave

been

incl

uded

in th

e ta

ble,

acc

ordi

ngly

the

Stat

e IC

T to

tals

do

not b

alan

ce to

the

sum

of t

he co

lum

ns.

ICT O

ccup

atio

ns (E

lect

roni

cs an

d gr

aphi

c des

igne

rs in

clude

d in

sect

or ro

ws),

by A

NZSI

C Cod

e20NS

WVI

CQL

DSA

WA

TAS

NTAC

T

Prof

essio

nal, S

cient

ific a

nd Te

chnic

al Se

rvice

s72

,720

68,01

624

,567

7,049

15,36

31,6

1765

25,6

70

Info

rmat

ion M

edia

and T

eleco

mm

unica

tions

29

,715

20,67

810

,395

4,787

3,712

969

384

1,489

Publi

c Adm

inistr

ation

and S

afety

10

,031

6,919

8,282

4,169

4,132

850

780

10,39

1

Finan

cial a

nd In

sura

nce S

ervic

es

17,98

910

,663

2,197

398

1,442

124

7336

0

Man

ufac

turin

g 12

,751

8,928

5,122

1,010

1,387

218

159

428

Reta

il Tra

de

11,73

77,3

213,9

131,8

431,2

9236

310

332

5

Educ

ation

and T

raini

ng

9,758

6,897

4,085

602

1,710

909

246

1,142

Who

lesale

Trad

e 12

,743

6,301

3,067

577

00

056

6

Cons

tructi

on

5,376

3,947

4,005

1,592

2,050

108

300

0

Othe

r Ser

vices

6,1

725,7

912,0

4645

21,7

7931

784

641

Healt

hcar

e and

Socia

l Assi

stanc

e 1,9

824,9

072,7

191,4

241,7

310

8624

3

Trans

port,

Posta

l and

War

ehou

sing

1,904

4,826

2,496

481

820

219

024

0

Adm

inistr

ative

and S

uppo

rt Se

rvice

s 4,2

5978

11,5

7696

594

712

70

722

Electr

icity,

Gas

, Wat

er an

d Was

te Se

rvice

s 1,2

381,9

851,4

5594

964

159

418

413

5

Arts

and R

ecre

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Serv

ices

902

1,742

1,680

343

048

783

159

Mini

ng

436

360

1,833

390

1,878

084

0

Rent

al, H

iring

and R

eal E

state

Serv

ices

1,360

1,286

00

533

115

00

Acco

mm

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ion an

d Foo

d Ser

vices

1,3

230

701

00

128

112

0

Agric

ultur

e, Fo

restr

y and

Fish

ing

00

039

50

010

70

ICT o

ccup

atio

ns in

all i

ndus

try s

ecto

rs17

0,50

913

9,60

966

,668

23,2

3533

,518

6,12

92,

825

21,4

77



Au

stra

lian

ICT

Indu

stry

Em

ploy

men

t – M

odel

com

paris

ons

1996

-201

0

150,

000

170,

000

190,

000

210,

000

230,

000

250,

000

270,

000

290,

000

310,

000 Ju

n-96

Jun-

97Ju

n-98

Jun-

99Ju

n-00

Jun-

01Ju

n-02

Jun-

03Ju

n-04

Jun-

05Ju

n-06

Jun-

07Ju

n-08

Jun-

09Ju

n-10

Jun-

11

ABS

ICT

Indu

stry

Mod

el (A

BS 8

126.

0)

CIIE

R/W

hite

hors

e M

odel

ABs

last

mea

sure

d th

e iC

t in

dust

ry in

200

6-7

(812

6.0)

. the

cha

rt a

bove

mea

sure

s the

cor

rela

tion

betw

een

the

7 A

Bs a

nd 2

2 Ci

ier-

Whi

teho

rse

iCt

indu

stry

mod

els

sinc

e 19

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ach

box

is a

sep

arat

e su

rvey

and

repo

rt.



21 C

IIER

Whi

teho

rse

Top

250

ICT

indu

stry

ana

lysi

s by

Stat

e an

d Te

rrito

ry D

ec 2

010,

by

ICT

indu

stry

gro

upin

g. N

on-IC

T oc

cupa

tions

in IC

T in

dust

ries a

re in

clud

ed in

thes

e to

tals.

ICT

Ind

ustr

y By

Sta

te21

Cons

ultin

g &

Soft

war

e Se

rvice

sM

anuf

actu

ring

Dist

ribut

ion

of H

ardw

are

and/

or So

ftw

are p

rodu

cts

Tele

com

mun

icatio

ns

Serv

ices

Tota

l

New

Sout

h Wale

s46

,545

2,892

35,30

229

,515

114,2

54

Victo

ria37

,420

1,803

24,46

223

,465

87,14

9

Quee

nslan

d18

,481

883

5,966

10,59

935

,930

Wes

tern

Austr

alia

10,07

731

43,4

687,7

6921

,627

Sout

h Aus

tralia

3,506

1,479

1,723

5,387

12,09

6

Austr

alian

Capit

al Te

rrito

ry6,9

6012

289

482

18,7

97

Tasm

ania

1,992

5627

01,3

763,6

93

North

ern T

errit

ory

182

9019

333

31,1

71

Tota

l12

5,16

37,

638

72,2

7879

,265

284,

716

% of

Tota

l43

.96%

2.68

%25

.39%

27.8

4%

iCt

indu

stry

in A

ustr

alia

em

ploy

men

t is d

omin

ated

by

soft

war

e an

d se

rvic

es. e

ach

stat

e an

d te

rrito

ry h

as a

diff

eren

t mix

of i

ndus

try

sect

ors,

with

nea

rly 4

9 pe

r cen

t of d

istr

ibut

ion

empl

oym

ent

in n

ew s

outh

Wal

es, c

ompa

red

to it

s ov

eral

l 40

per c

ent o

f tot

al iC

t in

dust

ry e

mpl

oym

ent,

but 3

0 pe

r cen

t of s

oftw

are

and

serv

ices

in V

icto

ria, a

nd s

oftw

are

and

serv

ices

com

pris

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79 p

er

cent

of t

he to

tal o

f Aus

tral

ian

Capi

tal t

errit

ory

iCt

indu

stry

em

ploy

men

t.

Fte

Wo

rKFo

rCe



IC

T In

dust

ry E

mpl

oym

ent b

y In

dust

ry s

ecto

r, D

ec 2

010

Tele

com

mun

icat

ions

Ser

vice

s28

%C

onsu

lting

and

Sof

twar

e Se

rvic

es44

%

Man

ufac

turin

g of

Har

dwar

e or

So

ftwar

e3%

Dis

tribu

tion

of H

ardw

are

and/

or

Softw

are

prod

ucts

25%


40 AustrAliAn Computer soCiety

Em

ploy

men

t Str

uctu

re o

f the

Aus

tral

ian

ICT

indu

stry

200

3-20

10

Man

ufac

turin

g of

Har

dwar

e or

S

oftw

are

Dis

tribu

tion

of H

ardw

are

and/

or

Sof

twar

e pr

oduc

ts

Tele

com

mun

icat

ions

Ser

vice

s

Con

sulti

ng a

nd S

oftw

are

Ser

vice

s

0

20,0

00

40,0

00

60,0

00

80,0

00

100,

000

120,

000

140,

000

160,

000 Ju

n- 03D

ec-

03Ju

n- 04D

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04Ju

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05Ju

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ec-

06Ju

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07Ju

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ec-

08Ju

n- 09D

ec-

09Ju

n- 10D

ec-

10Ju

n- 11D

ec-

11Ju

n- 12D

ec-

12



Vo

latil

ity in

ICT

indu

stry

em

ploy

men

t by

Stat

e by

per

iod

-10,

000

-5,0

000

5,00

0

10,0

00

15,0

00

20,0

00

25,0

00

30,0

00

commen

cing %

Dec-03

Jun-04

Dec-04

Jun-05

Dec-05

Jun-06

Dec-06

Jun-07

Dec-07

Jul-0

8Ju

l-09

Dec-10

NS

WS

A

AC

TTA

S

VIC

NT

QLD

WA

empl

oym

ent v

olat

ility

has

dim

inis

hed

in re

cent

yea

rs.



St

ate

Con

trib

utio

n to

Nat

iona

l IC

T In

dust

ry J

obs

grow

th J

ul 2

003-

Dec

201

0

SA, 6

00, 1

%

Oth

er, 1

,587

, 3%

VIC

, 20,

942,

33%

TAS,

735

, 1.1

7%

NT,

125

, 0.2

0%

ACT,

727

, 1.1

6%

NSW

, 21,

159,

35%

QLD

, 11,

575,

18%

WA,

6,8

61, 1

1%

NSW

SA

ACT

TAS

VIC

NT

QLD

WA



IC

T In

dust

ry E

mpl

oym

ent P

erce

ntag

e by

Sta

te D

ec 2

010

TAS

1.3% NT

0.4%

VIC

30.6

%

NSW

40.1

%

QLD

12.6

%

SA 4.2%

WA

7.6%

ACT

3.1%

VIC

NSW

QLD

ACT

SA WA

TAS

NT

stat

e an

d te

rrito

ry i

Ct

indu

stry

em

ploy

men

t al

so g

row

s at

diff

eren

t ra

tes.

sinc

e 20

03, V

icto

ria,

Que

ensl

and

and

Wes

tern

Aus

tral

ia h

ave

cont

ribut

ed jo

bs g

row

th h

ighe

r tha

n th

eir s

tate

per

cent

age

of to

tal i

Ct

indu

stry

em

ploy

men

t, ta

sman

ia a

nd th

e n

orth

ern

terr

itory

hav

e ke

pt

pace

, whi

le n

ew s

outh

Wal

es, s

outh

Aus

tral

ia a

nd th

e Au

stra

lian

Capi

tal t

errit

ory

have

gro

wn

mor

e sl

owly

.



22 C

IIER

Whi

teho

rse

Top

250

ICT

Indu

stry

Sur

vey

and

Mod

el D

ecem

ber 2

010

Com

pute

r Ser

vice

sM

anuf

actu

ring

Who

lesa

le Tr

ade

Tele

com

mun

icatio

nsTo

tal

New

Sout

h Wale

s$7

.31$1

.02$8

.51$1

5.84

$32.6

8

Victo

ria$5

.87$0

.63$5

.90$1

2.60

$25.0

0

Quee

nslan

d$2

.90$0

.31$1

.44$5

.69$1

0.34

Wes

tern

Austr

alia

$1.58

$0.11

$0.84

$4.17

$6.70

Sout

h Aus

tralia

$0.55

$0.52

$0.42

$2.89

$4.38

Rest

of Au

strali

a$1

.49$0

.09$0

.33$1

.36$3

.27

Tota

l$1

9.70

$2.6

9$1

7.42

$42.

55$8

2.36

Dec-0

3De

c-04

Dec-0

5De

c-06

Dec-0

7De

c-08

Dec-0

9De

c-10

Com

pute

r Ser

vices

$11,8

86$1

2,483

$13,6

35$1

4,989

$17,8

61$1

7,519

$18,4

99$1

9,703

Man

ufac

turin

g$2

,718

$2,61

6$2

,160

$2,59

0$2

,687

$2,70

0$2

,693

$2,68

7

Who

lesale

Trad

e$1

2,377

$12,5

05$1

8,262

$18,7

66$1

5,803

$17,0

88$1

7,251

$17,4

24

Telec

omm

unica

tions

$38,4

59$4

0,062

$40,9

52$4

2,432

$42,4

32$4

7,293

$43,0

81$4

2,549

$65,

439

$67,

665

$75,

008

$78,

777

$78,

782

$84,

600

$81,

524

$82,

362

Busin

ess M

onito

r Int

erna

tiona

l

IT m

arke

t (ex

clude

s Tele

com

mun

icatio

ns)

2010

$US1

8.7 bi

llion

2014

$US2

2.7 bi

llion

Oth

er R

even

ue E

stim

ates

iCt

indu

stry

rev

enue

gre

w m

argi

nally

sin

ce d

ec 2

009,

aft

er a

dro

p fr

om

dec

embe

r 200

8. C

ompu

ter s

ervi

ces

reve

nue

lead

s th

e re

cove

ry.

ICT

Ind

ustr

y R

even

ue e

stim

ates

$A

Bill

ion22

ICT

Rev

enue

tre

nd, $

A M

illio

n



Con

sulti

ng a

nd S

oftw

are

Serv

ices

24% Man

ufac

turin

g of

Har

dwar

e or

So

ftwar

e3%

Dis

tribu

tion

of H

ardw

are

and/

or

Softw

are

Pro

duct

s21

%

Tele

com

mun

icat

ions

Ser

vice

s52

%

ICT

Indu

stry

Rev

enue

by

Indu

stry

sec

tor,

Dec

201

0

tele

com

mun

icat

ions

com

pani

es c

ontin

ue, h

owev

er, t

o ga

in th

e m

ajor

ity o

f iC

t in

dust

ry re

venu

e.



Wha

t W

e D

oiC

t u

sAG

e

Subs

crib

ers b

y Sta

tes a

nd Te

rrito

ries f

or IS

Ps w

ith

mor

e tha

n 1,

000 a

ctive

subs

crib

ers23

Jun

2008

Jun

2009

Jun

2010

Jun

2011

New

Sout

h Wale

s2,3

22,00

02,7

13,00

03,0

13,00

03,4

63,00

0

Victo

ria1,7

27,00

01,9

52,00

02,4

11,00

02,6

95,00

0

Quee

nslan

d1,5

12,00

01,7

46,00

01,9

87,00

02,3

11,00

0

Sout

h Aus

tralia

496,0

0058

4,000

638,0

0076

8,000

Wes

tern

Austr

alia

780,0

0091

9,000

971,0

001,1

58,00

0

Tasm

ania

150,0

0018

2,000

193,0

0023

4,000

North

ern T

errit

ory

56,00

083

,000

72,00

085

,000

Austr

alian

Capit

al Te

rrito

ry18

4,000

241,0

0021

3,000

192,0

00

Aust

ralia

tota

l7,

228,

000

8,42

0,00

09,

499,

000

10,9

06,0

00

23 A

BS 8

1530

DO

003_

2011

06 In

tern

et A

ctiv

ity, A

ustr

alia

, Jun

e 20

11



In

tern

et s

ubsc

riber

s by

Sta

te a

nd T

errit

ory

(ISPs

with

mor

e th

an 1

,000

sub

scrib

ers)

0

2,00

0,00

0

4,00

0,00

0

6,00

0,00

0

8,00

0,00

0

10,0

00,0

00

12,0

00,0

00

Jun

2008

Jun

2009

Jun

2010

Jun

2011

Aust

ralia

n C

apita

l Ter

ritor

yN

orth

ern

Terr

itory

Tasm

ania

Wes

tern

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tralia

Sout

h Au

stra

liaQ

ueen

slan

dVi

ctor

iaN

ew S

outh

Wal

es

tele

com

mun

icat

ions

com

pani

es c

ontin

ue, h

owev

er, t

o ga

in th

e m

ajor

ity o

f iC

t in

dust

ry re

venu

e.



24 A

BS 8

1460

DO

002_

2008

09 H

ouse

hold

Use

of I

nfor

mat

ion

Tech

nolo

gy, A

ustr

alia

, 200

8-09

( no

late

r dat

a av

aila

ble)

Empl

oyed

per

sons

aged

15 an

d ov

er, L

abou

r Fo

rce C

hara

cter

istics

, by l

ocat

ion

of In

tern

et

Acce

ss –

2008

-0924

Tota

l em

ploy

ed

pers

ons

Hom

eW

ork

Any l

ocat

ion

Indu

stry

‘000

‘000

%‘0

00%

‘000

%

11 Fi

nanc

ial an

d Ins

uran

ce Se

rvice

s41

537

490

332

8040

698

10 In

form

ation

Med

ia an

d Tele

com

mun

icatio

ns23

120

790

180

7822

296

12 Re

ntal,

Hiri

ng an

d Rea

l Esta

te Se

rvice

s21

617

179

160

7420

796

13 Pr

ofes

siona

l, Scie

ntifi

c and

Tech

nical

Serv

ices

822

728

8967

081

792

96

16 Ed

ucat

ion an

d Tra

ining

898

784

8766

474

851

95

04 El

ectri

city,

Gas, W

ater

and W

aste

Serv

ices

143

123

8795

6613

192

15 Pu

blic A

dmini

strat

ion an

d Safe

ty70

159

385

486

6964

091

02 M

ining

125

105

8462

5010

987

18 Ar

ts an

d Rec

reat

ion Se

rvice

s19

715

880

112

5717

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2000

2001

2002

2003

2004

2005

2006

2007

2008

2009

Tota

l ICT E

quipm

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0

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0

2,00

0

3,00

0

4,00

0

5,00

0

6,00

0

7,00

0

8,00

0

2000

2001

2002

2003

2004

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2009

Tota

l IC

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26 8

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007_

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and

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rimen

tal D

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ness

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l R&D

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$-

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00

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00

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usin

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se o

f Inf

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we

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utlo

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ralia

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holes

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t ava

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. 4. T

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omy

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erlan

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ralia

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(200

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utlo

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van

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on

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s and

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mat

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anki

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(out

of 70

coun

trie

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l sco

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nnec

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ess

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ronm

ent

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l and

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ltura

l En

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nmen

t

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l En

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vern

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licy a

nd Vi

sion

Cons

umer

an

d Bu

sines

s Ad

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n

Rank

ing

Cate

gory

we

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ing

20%

15%

15%

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8.30

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31 E

cono

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t Int

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nkin

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ter A

cces

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et A

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sHo

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with

Br

oadb

and

Inte

rnet

Acc

ess

Rank

ing

(calcu

late

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CI

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Aver

age %

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cula

ted

by CI

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%%

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Kore

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94.3

189

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Icelan

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87.7

83.2

287

.6

Neth

erlan

ds3

87.7

86.1

74.0

382

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Norw

ay4

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84.0

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84.4

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ark

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erlan

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73.9

na7

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Luxe

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.880

.161

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74.6

Cana

da9

78.4

72.7

64.2

971

.8

Finlan

d10

75.8

72.4

66.1

1071

.4

Aust

ralia

1178

.072

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.011

70.7

Germ

any

1281

.874

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70.5

Unite

d King

dom

1378

.071

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70.2

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85.9

63.9

58.5

1469

.4

Austr

ia15

75.9

68.9

54.5

1566

.4

Belgi

um16

70.0

63.6

60.3

1664

.6

Franc

e17

68.4

62.3

57.1

1762

.6

EU27

1867

.960

.448

.618

59.0

Irelan

d19

70.3

63.0

42.9

1958

.7

Unite

d Sta

tes

2061

.861

.750

.820

58.1

New

Zeala

nd21

71.6

64.5

33.2

2156

.4

32 A

BS 8

1460

DO

011_

2008

09 H

ouse

hold

Use

of I

nfor

mat

ion

Tech

nolo

gy, A

ustr

alia

, 200

8-09

Ho

use

Ho

lds

Wit

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CCes

s to

A H

om

e Co

mpu

ter,

Au

strA

liA

An

d s

eleC

ted

Co

un

trie

s –

2008

32



33 In

tern

atio

nal T

elec

omm

unic

atio

n U

nion

(ITU

) ann

ual I

CT D

evel

opm

ent I

ndex

Rep

ort 2

010

Aust

ralia

USA

UKCa

nada

NZ

ICT de

velop

men

t Ind

ex Ra

nk 20

0815

1910

2116

IDI 2

008

6.90

6.54

7.07

6.49

6.81

ICT D

evelo

pmen

t Ind

ex Ra

nk 20

0714

1710

1916

20

09 R

ank

2008

Ran

kIC

T Pric

e Bas

ket V

alue

Broa

dban

d(%

of G

NI p

er ca

pita

*)

Singa

pore

21

0.33

0.49

USA

62

0.40

0.50

Finlan

d12

100.5

90.9

7

UK9

140.5

70.6

3

Cana

da11

150.5

80.7

1

Irelan

d21

210.8

20.8

8

Kore

a19

230.7

91.4

1

Japa

n35

241.0

91.1

8

Belgi

um18

250.7

50.7

8

Aust

ralia

2526

0.86

0.77

NZ39

331.2

81.2

3

inte

rnAt

ion

Al

tele

Com

mu

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nio

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t d

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ent

ind

ex r

epo

rt 2

010

iCt

priC

e BA

sKet

200

933



34 IT

U W

orld

Tele

com

mun

icat

ion

/ ICT

Indi

cato

rs D

atab

ase

2010

2000

2001

2002

2003

2004

2005

2006

2007

2008

2009

2010

Icelan

d44

.4749

.3979

.1283

.1483

.8887

.0089

.5190

.6091

.0093

.0095

.00

Norw

ay26

.7629

.2572

.8478

.1377

.6981

.9982

.5586

.9390

.5792

.0893

.39

Neth

erlan

ds43

.9849

.3761

.2964

.3568

.5281

.0083

.7085

.8287

.4289

.6390

.72

Swed

en45

.6951

.7770

.5779

.1383

.8984

.8387

.7682

.0190

.0091

.0090

.00

Denm

ark

39.17

42.96

64.25

76.26

80.93

82.74

86.65

85.03

85.02

86.84

88.72

Finlan

d37

.2543

.1162

.4369

.2272

.3974

.4879

.6680

.7883

.6782

.4986

.89

Unite

d King

dom

26.82

33.48

56.48

64.82

65.61

70.00

68.82

75.09

78.39

83.56

85.00

Kore

a (Re

p.)44

.7056

.6059

.4065

.5072

.7073

.5078

.1078

.8080

.9981

.6083

.70

New

Zeala

nd47

.3853

.2459

.0860

.9661

.8562

.7269

.0069

.7672

.0379

.7083

.00

Germ

any

30.22

31.65

48.82

55.90

64.73

68.71

72.16

75.16

77.91

79.26

81.85

Cana

da51

.3060

.2061

.5964

.2065

.9671

.6672

.4073

.2076

.7080

.3081

.60

Franc

e14

.3126

.3330

.1836

.1439

.1542

.8746

.8766

.0970

.6871

.5880

.10

Japa

n29

.9938

.5346

.5948

.4462

.3966

.9268

.6974

.3075

.4078

.0080

.00

Unite

d Sta

tes

43.08

49.08

58.79

61.70

64.76

67.97

68.93

75.00

74.00

78.00

79.00

Unite

d Ara

b Em

irate

s23

.6326

.2728

.3229

.4830

.1340

.0052

.0061

.0072

.0075

.0078

.00

Aust

ralia

46.7

652

.69

n/a

n/a

n/a

63.0

066

.00

69.4

571

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74.2

576

.00

inte

rnet

use

rs p

er 1

00 in

HA

BitA

nts

, sel

eCte

d C

ou

ntr

ies34



35 CIIER/Whitehorse Top 250 Survey and industry model36 ABS labour market surveys for 5 main ICT occupations (old Anzsco format) to 2008, ICT Technical, professional and trade since 2008.

Jun-01 Jun-02 Jun-03 Jun-04 Jun-05 Jun-06 Jun-07 Jun-08Dec-

09/Feb 2010

Dec-10/Feb

2011

ICT industry35 210,686 202,766 222,136 224,830 237,979 255,086 287,829 288,372 283,000 285,000

ICT technicians and professionals36

267,900 268,700 280,100 273,100 273,400 277,700 282,000 282,533 297,075 316,051

Where Have We Come From – And Where Are We Going?

ICT R&D by field of research

$-

$1,000

$2,000

$3,000

$4,000

$5,000

$6,000

1996-7 1998-9 2000-1 2002-3 2004-5 2006-7 2007-8 2008-9

Year

$Am

illio

n

Private non-profit

Higher Education

State/Territory

Commonwealth

Business

Research estimated as equal to latest data available for prior year

iCt industry staffing has flattened since 2008. this is offset by rises in overall iCt technical, professional and trade staff, suggesting the change away from “panacea” outsourcing towards previous ratios of in-house iCt staffing is having an effect. the trend-line in the iCt industry data adds some support to this hypothesis, as it matches more closely to rises in iCt professional, technical and trade staff since 2008.

Longitudinal Employment And Economic Data

employment estimAtes deeWr/ABs/Ciier



ICT Industry revenue trends 2003-2010

$0

$10,000

$20,000

$30,000

$40,000

$50,000

$60,000

$70,000

$80,000

$90,000

2003 2004 2005 2006 2007 2008 2009 2010

$A,000

ManufacturingWholesale TradeComputer ServicesTelecommunications

Part of the ICT Industry – long-term growth

0.0

50.0

100.0

150.0

200.0

250.0

300.0

Nov-84

Nov-86

Nov-88

Nov-90

Nov-92

Nov-94

Nov-96

Nov-98

Nov-00

Nov-02

Nov-04

Nov-06

Nov-08

Part Time ; Telecommunications Services ; Persons ;Part Time ; Internet Service Providers, Web SearchPortals and Data Processing Services ; Persons ;Part Time ; Internet Publishing and Broadcasting ; Persons ;Part Time ; Computer System Design and RelatedServices ; Persons ;Full Time ; Telecommunications Services ; Persons ;Full Time ; Internet Service Providers, Web SearchPortals and Data Processing Services ; Persons ;Full Time ; Internet Publishing and Broadcasting ; Persons ;Full Time ; Computer System Design and RelatedServices ; Persons ;

iCt industry revenue37 dipped in 2008-9, led by telecommunications. While overall revenue has risen in 2009-10, telecommunications remains flat. long-term employment growth continued, however, here based on those parts of the iCt industry that can be extracted from ABs labour market quarterly data.38

37 CIIER Whitehorse Top 250 ICT Industry Survey and industry model 2003-1038 ABS labour market Nov 2010



CIIER projections of future ICT technical and professional Employment Based upon ASX 200 June 30 closes and ABS labour market data extracts

0

1000

2000

3000

4000

5000

6000

7000

01/07

/99

03/07

/00

02/07

/01

01/07

/02

01/07

/03

01/07

/04

01/07

/05

01/07

/06

01/07

/07

01/07

/08

01/07

/09

01/07

/10

01/07

/11

01/07

/12

01/07

/13

01/07

/14

01/07

/15

01/07

/16

50,000

100,000

150,000

200,000

250,000

300,000

350,000

400,000

ASX June 30 close from previous year, plus average economist projections for 2011 and 2012

ASX trend

ICT Tech, professional and trade employment actual and CIIER projections

ICT technical and professional employment trend

this chart models a future iCt employment demand algorithm based upon a regressive analysis of correlations to Australian share market indices (effectively a surrogate for future investment intentions).

Forward share market index positions, of course, may vary from those projected, which are based upon conservative economist indicators.

the Ciier model projects a growth in iCt technical and professional employment net demand of 14,000 next year, and, assuming an Asx close June 30, 2012 of 5000 points, 21,000 the following year.

With the current uncertainties, it is useful to calculate the possible outcomes of these algorithms should the stock market recover more slowly, or if a recession should occur.

Future trends



CIIER projections of future ICT Professional and Technical EmploymentBased upon ASX 200 sharemarket analysis

01/07/14, 341,000

01/07/14, 372,000

01/07/12, 299,000

01/07/11, 285,00001/07/14, 272,800

0

50,000

100,000

150,000

200,000

250,000

300,000

350,000

400,000

Jul-99 Jul-00 Jul-01 Jul-02 Jul-03 Jul-04 Jul-05 Jul-06 Jul-07 Jul-08 Jul-09 Jul-10 Jul-11 Jul-12 Jul-13 Jul-14 Jul-15

Stockmarket slow recoveryStockmarket projected recoveryStockmarket recession

Historic employment 1999-2011, ABS labour market data

these suggest that, unless Australia tips into a minimum two-year recession, net demand for iCt technical and professional staff continues to grow over the next three years.

it should also be noted that this projected data is about net change. notwithstanding any growth in net demand, replacements will also still need to be made for retirements, external migration, the expiring of temporary visas and other ongoing reductions in the iCt workforce.

it is highly doubtful that this demand can be met from current education sources, as despite a slight increase in domestic iCt enrolments in the past two years, the neglect of domestic iCt education for the previous 10 years still has a long way to go to recover to necessary levels to support Australia’s digital economy.

Year 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010

No 17,436 15,997 13,553 11,123 9,277 8,198 7,839 7,470 8,328 8,704

domestiC iCt HiGHer eduCAtion CommenCements



IC

T pr

ofes

sion

als

– An

nual

Gra

duat

e en

try

v Ag

e re

tirem

ent,

curr

ent t

rend

s

0

1,00

0

2,00

0

3,00

0

4,00

0

5,00

0

6,00

0

7,00

0

2007

2008

2009

2010

2011

2012

2013

2014

2015

2016

2017

2018

2019

2020

loca

l gra

duat

es,

Ret

irem

ents

,

the

char

t ab

ove

has

been

upd

ated

fro

m t

hat

orig

inal

ly f

ound

in

a Ci

ier/

ACs

pub

licat

ion39

to

refle

ct t

he r

ecov

ery

in i

Ct

dom

estic

co

mm

ence

men

ts, a

nd, t

hus,

like

ly g

radu

atio

ns in

a t

hree

-yea

r sc

enar

io. i

t in

dica

tes

that

ret

irem

ents

alo

ne w

ill s

till h

ave

a gr

owin

g an

d si

gnifi

cant

impa

ct u

pon

the

likel

y pr

opor

tion

of d

omes

tic iC

t gr

adua

tes

left

to fu

el e

mpl

oym

ent g

row

th.

39 IC

T Sk

ills F

orec

astin

g Re

port

Aug

200

8, C

IIER,

ACS



The NBN Effect“A National Broadband Network based on FTTP technology will provide the best possible platform for Australia to use as a basis for its move into the knowledge economy. The NBN will provide Australia with a future-proof broadband infrastructure and provide support for future generations of applications and services that will underpin all sectors of the Australian economy. The NBN infrastructure will provide necessary backhaul support for complementary wireless services and will encourage competition at the services level, thereby eliminating wasteful duplication of infrastructure in the access network. Importantly, the FTTP infrastructure in the NBN will be readily upgradeable to 1 Gb/s and even 10 Gb/s to the home as new applications and services continue to drive demand for more bandwidth.” 40

in a report last year for the tasmanian iCt industry and tasmanian Government, Ciier analysts noted that there had been many theories put forward in respect to the potential impact of the nBn on iCt in Australia, and that they had ranged from “fanciful concepts of a panacea to all ills, to luddite rejections of necessity or impact”. A problem in applying rational analysis to the impact or otherwise of the nBn has been the frequent tendency of commentators to forget that advances in communications and iCt applications are, and were, taking place with or without the nBn, so, as noted by Ciier analysts in the tasmanian report: “it is its role as an additional facilitator and catalyst

that becomes important in the long run, rather than the underlying continuation of gains in productivity, efficiency and the range of products and services impacted by or created by iCt”.

the original conjectured “25,000 jobs”41 to be created by the nBn project were not categorised into skills mixes, nor was a difference made between the development phase and steady-state. this lack of clarity has led to presumptions about the quantification and qualification of potential nBn skills demand, many of which must inevitably be poorly founded. An example of this was a headline “Broadband jobs forecast falls short by thousands”,42 referring to nBn workforce modelling forecasting a requirement for 16,000 workers (5500 labourers, 300 cablers, 2300 earthmoving contractors, 1100 telecommunications line workers, 900 traffic controllers, and 3200 higher skills workers in various categories). these are, of course, all construction requirements, and have little to do with the real iCt skills implications of the nBn, which have more to do with enhanced content and bandwidth, not digging holes. the nBn will, however, certainly not diminish the demand for iCt technical and professional skills already identified in this report, and is highly likely to increase such demand beyond the levels already projected. inability to satisfy such demand for skilled labour is likely to become the largest constraint upon the efficacious use of the facilities the nBn will deliver.

40 Tucker, Rodney S. 2010. Broadband facts, fiction and urban myths. telecommunications Journal of Australia. 60 (3): pp. 43.1 to 43.15. http://tja.org.au41 Access Economic report to DBCDE 200842 Age/smH 26/9/2011 p6



NBN Rollout Workforce Requirements

NBNCoNBNCo

Timeline 2010-2018

CalendaringTool

WFM 1-n

PortalSupport

NBNCo Help2Network +

layer2

NBNCo FAN 1

Pipe build/Lay

WFM 1-n

Help1Network

Install &Support

FDH

FDH

Lay.

Install

Streets 1-n

House

Demarcation Point/Property Boundary

wire TriplePlay

Net eng integration of existing Telco infrastructure with NBNCo, including POI

SDU

MDU

SDU install Detail

Lay

NBNCo FAN n

FDH

FDHLa

y.

ONT

ONT

ONT

Critical path - rollout

during the nBn rollout,43 the critical points are assumed to be in the initial build/lay components and in the build and operation of the points of interconnects (pois). resource requirements will also need to consider not just the physical laying/building of the access infrastructure on the entry side of the total rollout, but also the detailed install requirements per unit, be it sdu or mdu internal or external or where the Vdsl2 has to be maintained in older apartments or non-fibre accessible sites. the skills mix is a complex one, and since different parts of the network will be at different stages of rollout at different times, it is anticipated that a significant mobility of workforce will inevitably occur. local supply/demand issues illustrated in the diagram are less likely to be of import, therefore, that the national and, in some cases, global, demand and supply of particular skills.44

no stage is, however, “pure” in its skills mix. even the pipe lay and build requires engineering, scheduling, calendaring and other support from such skills as project managers, software developers and engineers. the ont connection

work will require some retraining of electricians and communications tradespeople, and as this is more complex for multi-dwelling structures, with additional grades of skills for such sites.

As a critical mass of high-capacity infrastructure is reached, products and services will emerge to serve them. it is in this space that the skills of the iCt industry come to the fore, since these skills are, in the main, focused on web-based applications.

Ciier analysts’ concern is that the same issues of financial, market and distribution support that the domestic iCt industry today will continue to do so, and that this, rather than technical skill constraints related to the nBn, will be the single most important limiting factor for economic growth. projecting this growth is, however, difficult, and historical statistics can only provide limited support. the key statistics relate to demand for bandwidth, both in the number of subscribers and in the data access rates required.

43 NBNCo – represents all NBNCo domain; FAN (Fibre Access Node) includes OLT (Optical Termination) and Ethernet Fanout Switch; WFM is Work Force Management; FDH (Fibre Distribution Hub); 1-n – refers to one or many; MDU (Multi Dwelling Unit); SDU (Single Dwelling Unit); ONT (Optical Termination Unit) (note: can be internally or external unit).44 Working Futures, IBSA 2010



Historical increase in Data Access rate (Mb/s)

0.0024

0.00960.0144

0.056

0.256

0.512

1.5

10

100

1000

0.0330.028

0.001

0.01

0.1

1

10

100

1000

1985 1990 1995 2000 2005 2010 2015 2020 2025

Acc

ess

rate

(Mb/

s)

45 Tucker, Rodney S. 2010. Broadband facts, fiction and urban myths. telecommunications Journal of Australia. 60 (3): pp. 43.1 to 43.15. http://tja.org.au

data access rate45 has climbed continuously and exponentially, and it requires a logarithmic scale to present an intelligible picture. this kind of increase is unlikely to decline, as new and more complex systems require higher data rates to sustain them.



Au

stra

lian

Bro

adba

nd in

stal

latio

ns, c

urre

nt tr

end

and

NB

N e

stim

ates

-20.

00

0.00

20.0

0

40.0

0

60.0

0

80.0

0

100.

00

2000

2001

2002

2003

2004

2005

2006

2007

2008

2009

2010

2011

2012

2013

2014

2015

2016

2017

2018

2019

2020

2021

Fixe

d br

oadb

and

subs

crip

tions

% o

fpo

pula

tion

NBN

Co

estim

ates

, % o

fho

useh

olds

Gra

nt S

amue

l est

imat

esN

BN %

of h

ouse

hold

s

Cur

rent

Bro

adba

ndad

optio

n tre

nd

Broa

dban

d su

bscr

iptio

ns h

ave

also

clim

bed

rapi

dly,

and

eve

n ex

clud

ing

wire

less

and

mob

ile i

nter

net,

the

curr

ent

fixed

co

nnec

tions

tren

dlin

e of

per

cent

age

of h

ouse

hold

s con

nect

ed in

ters

ects

with

nBn

pre

dict

ions

(and

thos

e of

Gra

nt s

amue

l in

the

tels

tra

shar

ehol

ders

oct

ober

201

1 m

emor

andu

m) a

roun

d 20

17/1

8, w

ithou

t any

acc

eler

atio

n in

gro

wth

.



Fi

xed

Bro

adba

nd p

er h

ead

of p

opul

atio

n, C

ount

ries

with

mor

e th

an 1

mill

ion

fixed

bro

adba

nd

subs

crib

ers,

with

hig

her p

enet

ratio

n th

an A

ustr

alia

. So

urce

ITU

201

0

Aust

ralia

, 23.

19

0.00

5.00

10.0

0

15.0

0

20.0

0

25.0

0

30.0

0

35.0

0

40.0

0

45.0

0

2000

2001

2002

2003

2004

2005

2006

2007

2008

2009

2010

Per 100 peopleSw

itzer

land

Net

herla

nds

Den

mar

kKo

rea

(Rep

.)N

orw

ayFr

ance

Ger

man

ySw

eden

Belg

ium

Uni

ted

King

dom

Hon

g Ko

ng, C

hina

Can

ada

Finl

and

Japa

nU

nite

d St

ates

Isra

elN

ew Z

eala

ndSi

ngap

ore

Aust

riaAu

stra

lia

it sh

ould

als

o be

not

ed th

at A

ustr

alia

cur

rent

ly la

gs b

ehin

d m

any

othe

r adv

ance

d ec

onom

y co

untr

ies i

n its

cur

rent

bro

adba

nd p

enet

ratio

n, so

th

e gr

owth

con

cern

ed is

not

wor

ld-le

adin

g in

any

way

, with

man

y co

untr

ies

alre

ady

at le

vels

that

we

are

unlik

ely

to re

ach

until

201

5.

the

nBn

, on

this

sta

tistic

al e

vide

nce,

hel

ps to

ens

ure

that

Aus

tral

ia k

eeps

pac

e, a

nd c

an p

rovi

de A

ustr

alia

n co

nsum

ers

and

the

iCt

indu

stry

w

ith th

e in

fras

truc

ture

that

it re

quire

s.



A significant amount of the data presented in this compendium is derived from the ABs and other government agencies. other data is derived from surveys conducted by a variety of organisations. it should be noted that the ABs, other government agencies, and many of the organisations concerned, advise that some caution should be exercised in the analysis of such data.

some of the broader caveats to the data in this publication have been incorporated alongside the tables and charts; others are too extensive or complex for easy inclusion.

ABs outlines for its publications both the methods applied to source the data and estimates of the reliability of it for analysis purposes. these can be accessed from the ABs website.

the quality of statistical data is affected by a number of factors, the main ones being time, depth and coverage. timely data is data that is reasonably up-to-date, and non-timely data loses usefulness as it gets older, other than for trend analysis. in this publication we have tried to present the timeliest data available at the time of compilation, however, it is clear that some important iCt data is not as up-to-date as would be preferable. depth of data refers to the base level to which the data penetrates, and the relative size of the sample used. it also addresses whether the data only exists at a summary level, or whether it is a summation of more detailed

data. in general, the greater the depth the greater levels of accuracy. Coverage applies to the relevancy of the source to the analysis, i.e. if the only sources of data come from a single state, industry sector or size of organisation, does that allow analysis to presume with any level of certainty that other states, sectors or corporations are similar?

We have tried to identify in footnotes and comments both the source and timeliness of data, and analysis has been kept to the minimum necessary to minimise any inadvertent misinterpretation of the data presented.

some data are leading indicators, i.e. they can help to project other data (an example of a leading indicator is tertiary commencements, which, by the application of average “success” percentages, can project likely completions three years hence). other data are trailing indicators, i.e. job losses are often a trailing indicator of worse market conditions. Because they are gathered with different timeframes, leading and trailing indicators may not always agree. they can, however, if tracked consistently, show trends of growth or contraction, and of acceleration or slowdown.

statistics can tell us what has happened, but not always why. statistics can give us pointers to the future, but only to the limitations of the data and the environment. We hope you find these statistics useful and that they encourage debate and discussion about the scope and role of iCt in Australia.

stAtistiCAl dAtA CAVeAts And CAutions

How Should We Read This Document?



Ciier is an Australian think-tank developing and analysing consistent, competently researched, up-to-date data on employment, markets, revenue streams, r&d, processes and management methods for high technology, innovative and emerging industries. Ciier conducts the ‘top 250’ iCt industry survey, is recognised as a leading indicator of trends in the Australian iCt industry, and conducts analysis and reporting on information technology and other high technology industries.

Whitehorse strategic Group ltd assisted with the analysis for this publication. Whitehorse is an Australian-owned management consulting practice specialising in information management, iCt policy and strategy, e-government and governance.

About The Centre For Innovative Industries Economic Research Inc

Centre for innovative industries economic research incABn 64 806 162 996suite 2, 597 High st.northcote [email protected]: 03 9614 8510Fax: 03 9614 8201



the ACs and Ciier express our grateful thanks to the organisations that have contributed to this project by allowing access to data (either direct to the ACs or via Ciier), including:

Sources And Acknowledgements

Australian Bureau of statistics

Working Futures/iBsA

Australian department of education employment and Workplace relations

organisation for economic Cooperation and development (oeCd)

Australian department of immigration and Citizenship (formerly dimiA)

national Centre for Vocational education research (nCVer)

Cses (Victoria university)

tradedata

international telecommunication union (itu)

the project team for this compendium was led by Ciier director ian dennis under the guidance of ACs staff Adam redman, along with Amanda evans and seni murni; and Whitehorse associates phil Kowalski and suzana Grbesa. We especially wish to thank for their generous assistance with their advice and access to data, for this and previous reports, staff from ABs, deeWr, and industry colleagues Graeme philipson, Bob olivier, John Houghton and marcus Bowles, among many others. We hope that you find the ACs Australian iCt statistical Compendium 2011 useful.






www.acs.org.au/2011compendium

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Australian ICT Statistical Compendium 2011 - January 2012

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