9208.0 - Survey of Motor Vehicle Use, Australia, 12 months ended 30 June 2012  
Previous ISSUE Released at 11:30 AM (CANBERRA TIME) 23/04/2013   
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TECHNICAL NOTE DATA QUALITY INDICATORS


DATA QUALITY

1 When interpreting the results of a survey it is important to take into account factors that may affect the reliability of estimates. The survey procedures as well as sampling and non-sampling errors should be considered. Examination of the following quality indicators will assist users in determining fitness for purpose of the Survey of Motor Vehicle Use (SMVU).


SAMPLING ERROR

2 Estimates in this publication are based on information collected for a sample of registered motor vehicles, rather than a full enumeration, and are therefore subject to sampling error. They may differ from the data that would have been produced if the information had been obtained for all registered motor vehicles. Examples of the sampling error for this publication are included in this Technical Note.

3 The sampling error associated with an estimate can be estimated from the sample results. One measure of sampling error is given by the standard error, which indicates the extent to which an estimate might have varied by chance because only a sample of vehicles was included. There are about two chances in three that a sample estimate will differ by less than one standard error from the figure that would have been obtained if all vehicles had been included, and about 19 chances in 20 that the difference will be less than two standard errors.

4 Another measure of sampling variability is the relative standard error (RSE) which is obtained by expressing the standard error as a percentage of the estimate to which it refers. The RSE is a useful measure in that it provides an immediate indication of the percentage error likely to have occurred due to sampling. In this publication, estimates with an RSE between 25% and 50% are annotated with the symbol '*', indicating that the estimate should be used with caution as it is subject to sampling variability too high for most practical purposes. Estimates with an RSE greater than 50% are annotated with the symbol '**' indicating that the sampling variability causes the estimates to be considered too unreliable for general use.

5 The RSEs relating to 2012 estimates contained in Table 4 of this publication are shown in the following table.

RSE OF MOTOR VEHICLE USE(a), State/territory of registration - Type of vehicle

Passenger vehicles
Motor cycles
Light commercial vehicles
Rigid trucks
Articulated trucks
Non-freight carrying trucks
Buses
Total
%
%
%
%
%
%
%
%

TOTAL KILOMETRES TRAVELLED

New South Wales
5.6
14.4
7.9
6.0
4.7
22.0
8.5
4.4
Victoria
5.6
15.9
7.6
7.1
4.8
21.4
9.2
4.4
Queensland
8.1
19.3
8.9
7.6
5.2
20.8
7.9
5.8
South Australia
6.0
25.6
8.8
6.6
3.7
21.4
9.3
4.7
Western Australia
8.4
26.0
7.0
9.6
4.7
23.6
6.9
5.9
Tasmania
5.6
17.6
6.7
6.7
6.9
19.4
11.6
4.2
Northern Territory
6.2
18.6
6.8
12.1
11.8
np
np
4.0
Australian Capital Territory
7.1
25.1
11.9
5.7
9.9
np
np
4.6
Australia
3.0
8.2
3.7
3.1
2.2
9.9
3.8
2.3

NUMBER OF VEHICLES

New South Wales
1.6
4.5
2.0
1.8
1.9
19.3
3.9
1.3
Victoria
1.4
2.5
1.6
2.2
2.8
6.4
3.6
1.1
Queensland
1.9
3.6
3.1
1.6
1.8
12.7
3.1
1.4
South Australia
1.9
8.2
2.9
5.3
2.1
11.1
8.2
1.6
Western Australia
1.9
4.0
3.4
2.2
3.3
12.5
3.3
1.5
Tasmania
1.9
2.7
2.7
1.5
3.9
7.3
5.0
1.3
Northern Territory
2.2
5.8
4.3
10.2
3.6
np
np
1.7
Australian Capital Territory
2.3
6.6
5.0
2.0
5.2
np
np
2.0
Australia
0.7
1.7
1.1
1.0
1.2
5.1
1.7
0.5

AVERAGE KILOMETRES TRAVELLED

New South Wales
5.6
13.8
7.7
5.8
4.3
14.9
8.0
4.4
Victoria
5.5
16.1
7.4
6.4
5.1
20.5
8.8
4.3
Queensland
7.8
18.7
8.2
7.5
5.1
17.0
7.5
5.6
South Australia
5.9
24.2
8.9
8.0
3.9
18.2
8.7
4.6
Western Australia
8.0
25.6
6.4
8.5
5.2
20.3
6.4
5.7
Tasmania
5.3
17.3
6.6
6.6
7.0
19.0
11.2
4.0
Northern Territory
5.8
18.0
6.9
7.5
11.2
15.9
10.5
3.9
Australian Capital Territory
6.5
23.9
10.9
5.8
9.3
21.4
np
5.6
Australia
3.0
8.1
3.6
3.0
2.3
8.4
3.7
2.2

np not available for publication but included in totals where applicable, unless otherwise indicated
(a) These RSEs relate to the estimates in Table 4.


6 As an example of the use of an RSE, the 2012 estimate for total kilometres travelled by passenger vehicles registered in Australia is 167,456 million kilometres (Table 4 of the publication). The rounded RSE for this estimate is 3.0%, as shown above. Therefore, the standard error for the estimated total kilometres travelled by passenger vehicles is 5,024 million kilometres (3.0% of 167,456 million kilometres). There are about two chances in three that the figure obtained if all vehicles had been included, would have been in the range 162,432 million kilometres to 172,480 million kilometres (a range of one standard error above and below the survey estimate). There are about 19 chances in 20 that the figure would have been in the range 157,408 million kilometres to 177,504 million kilometres (a range of two standard errors above and below the survey estimate).

7 It is important to note that estimates at more detailed levels than the above are subject to higher RSEs and therefore are less reliable.

8 RSEs for other key estimates are shown in the following tables. RSEs of other estimates can be made available on request.

RSE of fuel consumption(a), Type of fuel - Type of vehicle

Passenger vehicles
Motor cycles
Light commercial vehicle
Rigid trucks
Articulated trucks
Non-freight carrying trucks
Buses
Total
%
%
%
%
%
%
%
%

TOTAL FUEL CONSUMPTION

Petrol
3.8
8.0
7.7
33.0
-
31.7
21.0
3.3
Diesel
14.7
-
6.2
3.4
2.3
9.3
4.3
2.8
Other(b)
20.0
-
26.4
46.8
39.3
57.9
13.4
14.6
Total
3.4
8.0
3.9
3.3
2.3
9.2
3.7
2.1

AVERAGE RATE OF FUEL CONSUMPTION

Petrol
1.3
2.0
2.3
9.8
-
12.3
3.4
1.2
Diesel
4.4
-
1.5
1.9
0.8
4.7
2.3
2.3
Other(b)
7.7
-
7.5
35.4
17.2
25.8
9.4
5.5
Total
1.3
2.0
1.5
1.9
0.8
4.6
2.2
0.9

- nil or rounded to zero (including null cells)
(a) These RSEs relate to the estimates in Table 5.
(b) Other fuel type includes LPG, CNG, Dual fuel, hybrid and other.

RSE OF FREIGHT VEHICLES(a), State/territory of operation

Light commercial vehicles
Rigid trucks
Articulated trucks
Total
%
%
%
%

TOTAL TONNE-KILOMETRES

New South Wales
19.5
9.7
5.4
4.4
Victoria
14.2
12.3
5.8
5.1
Queensland
20.3
10.6
7.0
5.8
South Australia
15.5
11.7
6.2
5.3
Western Australia
22.4
11.5
6.0
5.2
Tasmania
22.5
11.0
10.3
7.4
Northern Territory
16.1
26.7
16.5
14.4
Australian Capital Territory
24.9
19.9
27.4
14.3
Australia
9.0
5.1
2.9
2.4

(a) These RSEs relate to the estimates in Table 13.


9 Summary tables in this publication contain estimates for earlier years.

10 The standard error for the movement between two years can be approximated using the following formula Equation: EQ1_SEwhere Equation: EQ2is an estimate of total of the variable of interest, obtained from the 1st time point Equation: EQ3is an estimate of total of the same variable of interest, obtained from the 2nd time point Equation: EQ4is an estimate of movement of the total of the variable of interest from the 1st time point to the 2nd time point, ie Equation: EQ5

11 For total kilometres travelled by type of vehicle from the 2007 and 2012 SMVUs, the standard errors of the movements and the estimates from which they are derived are shown in the following table.

SE OF THE MOVEMENT OF TOTAL KILOMETRES TRAVELLED - 2007 and 2012(a)

LEVEL ESTIMATES
MOVEMENT ESTIMATES
2007
RSE (2007)
2012
RSE (2012)
Movement
SE (Movement)(b)
mill.
%
mill.
%
mill.
mill.

Type of vehicle
Passenger vehicles
157 928
2
167 456
3
9 528
6 161
Motor cycles
1 905
10
1 882
8
-22
238
Light commercial vehicles
37 385
3
43 716
4
6 331
1 954
Rigid trucks
8 644
3
9 258
3
615
380
Articulated trucks
6 929
2
7 381
2
451
220
Non-freight trucks
283
12
243
10
-41
41
Buses
2 097
4
2 516
4
419
131
Total
215 171
2
232 453
2
17 281
6 426

(a) Data for 2007 are for 12 months ended 31 October. Data for 2012 are for 12 months ended 30 June.
(b) Calculated on unrounded RSE estimates.


12 As indicated in the table above, the estimates of movement are subject to significant sampling error and caution should be used when making inferences about change. For example, the estimate of movement for passenger vehicles is an increase of 9,528 million kilometres and the standard error is 6,161 million kilometres, which means there are 19 chances in 20 that the true movement is between a decrease of 2,794 million kilometres and an increase of 21,850 million kilometres (a range of two standard errors above and below the movement estimate).


NON-SAMPLING ERROR

13 Non-sampling error covers the range of errors that are not caused by sampling and can occur in any statistical collection whether it is based on full enumeration or a sample. For example, non-sampling error can occur because of non-response to the statistical collection, errors or omissions in reporting, definition or classification difficulties, errors in transcribing and processing data and under-coverage of the frame from which the sample was selected. If these errors are systematic (not random) then the survey results will be distorted in one direction and therefore will be unrepresentative of the target population. Systematic errors result in bias.


Response and non-response

14 An important factor that affects non-sampling error is the response rate achieved. The ABS makes all reasonable efforts to maximise response rates. Where appropriate, mail reminders and telephone follow-up are used to attempt to contact non-responding vehicle owners. Responses were received from 84% of all of the selections for 2012.

RESPONSE AND NON-RESPONSE BY CATEGORY

Percentage of selections 2012
%

Response received
Registered vehicle
81
Unregistered vehicle(a)
3
Non-response
Untraceable - mailing address unknown
4
Other(b)
11
Total selections
100

(a) Includes deregistration, out of scope and duplicates.
(b) Includes: responses that were unusable because of unresolved queries or where the vehicle was sold during the reference third and the reported data covered less than 14 days; non-response where no listing could be found to enable contact by telephone; and owner contacted by telephone but response still not secured.


15 After removing those vehicles that had been found to be deregistered or out of scope, the response rate for the 2012 SMVU was 84%.

16 Response rates for each state and territory, and for each vehicle type, are shown in the following tables:

RESPONSE RATES, State/Territory

Response rate
%

New South Wales
87
Victoria
84
Queensland
86
South Australia
86
Western Australia
86
Tasmania
86
Northern Territory
77
Australian Capital Territory
81
Australia
84


RESPONSE RATES, Type of vehicle

Response rate
%

Type of vehicle
Passenger vehicle
81
Motor cycles
79
Light commercial vehicles
82
Rigid trucks
84
Articulated trucks
87
Non-freight carrying trucks
89
Buses
86
Total
84



17 Non-response has the potential to cause non-response bias, which occurs if the usage patterns of the non-responding vehicles differ from those of the responding vehicles. For the SMVU, it is assumed that the characteristics of non-responding vehicles are the same as for responding vehicles.


Frame quality

18 The scope of the survey comprises all vehicles that were registered with a motor vehicle authority for road use at some stage during the 12 months ended 30 June 2012 (excluding caravans, trailers, tractors, plant and equipment, defence services vehicles, diplomatic or consular-plated vehicles and vintage or veteran registered vehicles). A population or survey frame of 16.4 million vehicles was identified on 31 January 2011 using information obtained from the state and territory motor vehicle registration authorities, as part of the annual ABS Motor Vehicle Census (MVC) (cat. no. 9309.0). From this frame a stratified sample of 16,000 vehicles was selected for reporting on vehicle use.

19 In 2012, the effects of duplicate vehicle registrations, vehicle de-registrations prior to frame extract, and out-of-scope vehicles on the frame was estimated to be approximately 0.4% of the total frame. This indicates the frame was reliable in terms of providing an accurate number of registered vehicles in Australia.

20 Vehicle classification anomalies arise when respondents indicate an alteration has been made to the vehicle body, resulting in a different vehicle type to that recorded on the frame. These changes can happen during the time-lag between finalising the frame and collection of SMVU data (between 5 and 17 months). Vehicle classification anomalies can also result from data supplied by state and territory vehicle registration authorities. An assessment of vehicle classification anomalies from 2012 data shows that while there was no bias towards specific states or territories, there were marked discrepancies for some vehicle types. For vehicles on the frame that were listed as non-freight carrying trucks, 23.7% were found to be other vehicle types and 13.7% of vehicles listed as buses were found to be other vehicle types. This issue was not significant for other vehicle types on the frame.


Imputation

21 Imputation is the process whereby a value is generated for missing data items, based on the responses for similar vehicles which were operating for the reference period. This is called partial imputation. As for previous surveys, the need for imputation of unanswered items on the returned questionnaires remained quite high.

22 Additional imputation is needed due to questionnaire non-response and is called full imputation. The tables below show the percentage contribution to the estimates from both partial and full imputation.

CONTRIBUTION TO ESTIMATES FROM IMPUTATION(a), State/territory of registration

Percentage of total kilometres travelled
Percentage of total tonne-kilometres travelled
Percentage of fuel consumption
%
%
%

New South Wales
17
21
38
Victoria
17
29
42
Queensland
16
24
39
South Australia
15
21
36
Western Australia
16
26
39
Tasmania
18
30
44
Northern Territory
26
23
50
Australian Capital Territory
19
43
37
Australia
17
25
39

(a) Includes both partial and full imputation

CONTRIBUTION TO ESTIMATES FROM IMPUTATION(a), Type of vehicle

Percentage of total kilometres travelled
Percentage of total tonne-kilometres travelled
Percentage of fuel consumption
%
%
%

Passenger vehicles
16
. .
41
Motor cycles
16
. .
38
Light commercial vehicles
18
42
44
Rigid trucks
15
28
38
Articulated trucks
14
23
28
Non-freight carrying vehicles
11
. .
37
Buses
10
. .
20
Total
17
25
39

. . not applicable
(a) Includes both partial and full imputation



SURVEY PROCEDURES

23 The survey is comprised of three independent samples, with a different one used for each four month period in the overall 12 month survey period. Estimates from each of these samples are aggregated and adjusted for new motor vehicles and re-registrations of vehicles to produce an annual estimate.


Four month collection period

24 The 2012 SMVU was the first to collect information in three periods. Previous surveys have been collected in quarters. The change may have impacted on the estimates. For example:
1. With a longer reporting period, it is expected fewer vehicles will report nil use for a full period. For more information see Paragraph 29 of the Technical Note.
2. Freight vehicle owners are asked to report the number of weeks the vehicle was used for work purposes. Comparisons with 2010 SMVU data suggest that it is possible that respondents may have reported 12 or 13 weeks if the vehicle was used every week during the survey period, rather than the 17 or 18 weeks. This may be because:
  • respondents who have completed previous SMVU continuing to report 12 or 13 weeks from habit, or
  • respondents believing/assuming the reporting period covers three months as this is common practise both within the ABS and wider community.
REPORTED WEEKS USED FOR WORK, Proportion of responses - Years ended 31 October 2010 and ended June 30 2012
Graph: REPORTED WEEKS USED FOR WORK, Proportion of responses—Years ended 31 October 2010 and ended June 30 2012


25 Number of weeks used for work is used in the calculation of total tonnes in Table 2 and Table 17. As it is not possible to separate mis-reported and correct responses, no adjustments have been made to the data. The ABS will continue to monitor the impacts of this change in future surveys.


Adjustments

26 The SMVU aims to measure the use of all vehicles registered during the reference year. Because selections are taken from vehicles registered some time before the beginning of each collection period, adjustments are made to account for the change in size of the registered motor vehicle fleet since the population frame was created. For the 2012 SMVU, the frame was created on 31 January 2011. These adjustments involved two categories:
  • re-registrations - older vehicles that are returning to the registered vehicle fleet after a period of de-registration, and
  • new motor vehicles - vehicles which have not been previously registered.

CONTRIBUTION OF ADJUSTMENTS FOR RE-REGISTRATIONS, Australia - 2005-07, 2010 and 2012(a)

PERCENTAGE OF TOTAL KILOMETRES TRAVELLED
SMVU 2005
SMVU 2006
SMVU 2007
SMVU 2010
SMVU 2012
%
%
%
%
%

Type of Vehicle
Passenger vehicles
3
1
3
2
1
Motor cycles
4
7
7
8
7
Light commercial vehicles
1
3
2
2
2
Rigid trucks
2
4
2
3
3
Articulated trucks
4
2
4
4
4
Non-freight carrying vehicles
1
3
2
6
1
Buses
-2
-
-2
6
5
Total
3
2
3
2
1

- nil or rounded to zero (including null cells)
(a) Data for 2005-07, 2010 are for 12 months ended 31 October. Data for 2012 are for 12 months ended 30 June.


27 These activities occur continuously and the adjustments are made to account for the registrations that are estimated to have been added to or removed from the registered vehicle fleet between the population frame date and the end of the reference period. The adjustment process also accounts for de-registrations. This means it is possible for the re-registration factor to be negative.

CONTRIBUTION OF NEW VEHICLES REGISTERED AFTER FRAME CREATION - 2005-07, 2010 and 2012(a)

PERCENTAGE OF TOTAL KILOMETRES TRAVELLED
2005
2006
2007
2010
2012

Type of vehicle
Passenger vehicles
11
11
10
9
7
Motor cycles
16
16
15
11
9
Light commercial vehicles
14
14
14
10
8
Rigid trucks
12
12
12
8
6
Articulated trucks
19
20
17
11
9
Non-freight carrying trucks
14
14
9
8
13
Buses
15
15
16
5
5
Total
12
12
11
9
7

(a) Data for 2005-07, 2010 are for 12 months ended 31 October. Data for 2012 are for 12 months ended 30 June.



Pre-advice methodology

28 The quality of survey responses is improved by employing a pre-advice methodology. This involves vehicle owners receiving early advice about their inclusion in the survey and encourages a higher degree of record keeping. In addition, the reporting of odometer readings taken at the start and end of the survey periods (approximately four months apart) provide reliable estimates of total distance travelled without a recall bias.


Nil use

29 Some providers may report nil use for the 4 month reference period in which they were selected. Nil use vehicles are registered vehicles that report no travel during that specific reference period. Nil use vehicles are included in the survey as their reported nil use is representative of other vehicles in the population. Vehicles may have nil use due to factors such as seasonal usage, mechanical faults or economic conditions. Where a provider gives a nil use response, a follow-up phone call is used to check the veracity of the response.

NIL USE, Vehicle type - 2005-07, 2010 and 2012(a)

2005
2006
2007
2010
2012

NUMBER OF REGISTERED VEHICLES WITH NIL USE

Passenger vehicles
393 971
409 471
456 884
561 613
479 179
Motor cycles
73 570
100 725
125 547
148 217
182 308
Light commercial vehicles
103 683
115 841
114 241
122 227
71 292
Rigid trucks
32 944
36 263
36 660
34 647
36 549
Articulated trucks
4 105
4 340
3 680
5 165
6 162
Non-freight carrying trucks
1 518
1 448
1 418
2 424
3 157
Buses
1 303
1 343
1 510
2 831
1 809
Total
611 094
669 430
739 940
877 123
780 455

PROPORTION OF REGISTERED VEHICLES WITH NIL USE (%)

Passenger vehicles
4
4
4
5
4
Motor cycles
17
22
25
23
26
Light commercial vehicles
5
6
5
5
3
Rigid trucks
9
9
9
8
8
Articulated trucks
6
6
5
6
7
Non-freight carrying trucks
8
7
7
11
15
Buses
2
2
2
4
2
Total
4
5
5
6
5

(a) Data for 2005-07, 2010 are for 12 months ended 31 October. Data for 2012 are for 12 months ended 30 June.



DISTRIBUTIONS

30 The following tables provide values for total kilometres travelled and total tonne-kilometres travelled for selected percentiles. These percentiles have been calculated from all values reported in each third of the reference period. Percentiles provide some indication of the distribution of vehicle use across the survey population. For example, one-fifth of New South Wales passenger vehicles reported a distance travelled of 1,399 kilometres or less for the third they were selected in the survey. Note that the minimum value for every combination of state/territory by type of vehicle for both tables is zero.

31 Users should contact the ABS if they have any queries on the quality and reliability of estimates for particular purposes.

SELECTED PERCENTILES(a), State/territory of registration - Type of vehicle

20th Percentile
40th Percentile
50th Percentile
60th Percentile
80th Percentile
95th Percentile
99th Percentile

TOTAL KILOMETRES TRAVELLED

Passenger vehicles
New South Wales
1 399
2 604
3 226
4 163
6 703
9 507
23 687
Victoria
1 807
2 798
3 395
4 245
6 344
11 550
17 803
Queensland
1 372
3 159
3 845
4 872
7 157
11 593
24 362
South Australia
1 374
2 740
3 515
4 076
6 150
9 693
13 253
Western Australia
1 359
2 454
3 188
4 362
6 315
10 692
18 740
Tasmania
1 214
2 138
3 057
3 815
5 715
10 833
13 988
Northern Territory
1 369
2 608
3 068
3 712
5 547
10 699
20 333
Australian Capital Territory
1 984
3 409
4 184
4 854
6 038
11 061
18 740
Australia
1 440
2 777
3 409
4 269
6 651
10 648
18 957
Motorcycles
New South Wales
61
412
623
889
1 323
3 448
4 494
Victoria
-
207
333
593
1 587
3 571
3 745
Queensland
-
52
206
460
1 195
3 072
5 155
South Australia
42
224
387
469
1 569
5 173
5 775
Western Australia
-
25
179
448
1 597
5 130
7 475
Tasmania
-
149
350
603
1 767
4 522
5 544
Northern Territory
14
498
634
1 021
1 710
3 355
6 366
Australian Capital Territory
18
232
358
502
1 851
4 805
5 221
Australia
-
179
356
588
1 424
3 745
6 534
Light commercial vehicles
New South Wales
2 198
3 641
4 311
5 655
9 322
19 011
26 246
Victoria
1 519
3 704
4 741
5 839
9 963
13 429
27 510
Queensland
1 268
2 833
3 593
5 042
7 594
13 548
22 140
South Australia
1 600
3 222
3 891
4 751
8 715
14 122
20 755
Western Australia
1 120
3 329
4 613
5 952
9 233
14 289
18 867
Tasmania
785
2 313
3 037
3 667
6 199
11 659
19 778
Northern Territory
910
2 782
3 647
5 081
7 272
12 398
20 287
Australian Capital Territory
3 118
4 491
5 195
6 025
10 251
17 428
43 957
Australia
1 421
3 310
4 191
5 464
8 676
14 333
25 861
Rigid trucks
New South Wales
726
2 765
3 986
5 318
11 122
23 579
42 453
Victoria
396
3 075
4 974
6 871
11 660
20 372
40 743
Queensland
391
2 591
4 561
6 406
11 089
24 681
47 815
South Australia
264
2 026
3 418
5 182
10 161
21 610
41 236
Western Australia
193
1 422
3 024
5 031
10 593
27 450
42 011
Tasmania
291
1 805
3 213
4 373
8 078
21 788
39 988
Northern Territory
1 121
2 406
3 537
5 104
7 673
14 562
28 116
Australian Capital Territory
2 508
4 911
6 218
7 254
11 769
23 356
44 053
Australia
427
2 591
4 236
5 974
11 089
23 137
42 011
Articulated trucks
New South Wales
2 907
12 736
16 795
27 443
48 734
72 817
90 350
Victoria
1 801
12 176
17 664
25 840
52 231
79 116
120 590
Queensland
5 923
16 556
22 822
35 348
60 780
87 873
100 742
South Australia
2 548
9 654
14 764
21 673
48 609
80 725
117 489
Western Australia
867
10 613
15 127
22 667
44 645
79 728
125 803
Tasmania
2 344
10 699
17 312
25 342
41 669
59 576
135 717
Northern Territory
382
4 987
10 613
16 074
45 585
71 755
104 388
Australian Capital Territory
5 838
21 673
30 892
41 450
61 016
69 762
138 345
Australia
2 531
12 736
18 004
26 974
50 650
79 394
109 570
Non-freight carrying trucks
New South Wales
965
2 689
3 586
4 064
8 408
12 769
14 291
Victoria
280
659
1 000
1 453
5 027
22 408
27 852
Queensland
260
2 043
2 989
4 365
9 732
18 009
22 908
South Australia
245
677
790
1 046
3 554
10 037
15 073
Western Australia
-
220
390
716
5 798
15 204
17 490
Tasmania
87
430
639
990
3 371
14 248
20 119
Northern Territory
np
np
np
np
np
np
np
Australian Capital Territory
np
np
np
np
np
np
np
Australia
136
790
1 444
2 578
6 092
15 204
22 908
Buses
New South Wales
3 034
6 283
7 671
11 136
17 093
30 850
38 931
Victoria
2 945
5 824
6 720
8 152
17 644
36 208
54 712
Queensland
2 349
6 395
8 200
10 190
18 777
38 590
52 261
South Australia
2 326
4 779
5 618
7 491
16 877
25 783
28 481
Western Australia
1 682
4 063
6 072
8 038
15 554
26 831
44 870
Tasmania
1 646
3 659
4 790
6 062
13 029
27 664
48 468
Northern Territory
np
np
np
np
np
np
np
Australian Capital Territory
np
np
np
np
np
np
np
Australia
2 407
5 506
7 094
9 011
17 093
33 221
47 607
Total
New South Wales
1 354
2 654
3 349
4 269
6 910
11 076
26 017
Victoria
1 436
2 772
3 409
4 383
6 869
12 071
21 488
Queensland
1 068
2 841
3 558
4 550
7 274
13 394
26 244
South Australia
1 301
2 668
3 450
4 076
6 228
10 457
24 134
Western Australia
786
2 448
3 182
4 441
7 068
11 150
24 120
Tasmania
974
1 979
2 977
3 725
5 763
11 249
17 419
Northern Territory
1 161
2 565
3 087
3 859
6 366
12 200
23 026
Australian Capital Territory
1 855
3 401
4 184
4 875
6 172
13 072
18 740
Australia
1 265
2 699
3 409
4 362
6 927
11 752
24 362

- nil or rounded to zero (including null cells)
np not available for publication but included in totals where applicable, unless otherwise indicated
(a) Based on distance travelled in a four month reference period

SELECTED PERCENTILES(a), State/territory of registration - Type of freight vehicle

20th Percentile
40th Percentile
50th Percentile
60th Percentile
80th Percentile
95th Percentile
99th Percentile

TOTAL TONNE-KILOMETRES TRAVELLED

Light commercial vehicles
New South Wales
-
-
-
138
1 045
7 252
23 925
Victoria
-
-
108
261
1 449
3 821
8 488
Queensland
-
-
-
61
1 008
4 148
9 255
South Australia
-
-
159
430
1 534
3 777
6 574
Western Australia
-
-
-
186
2 137
7 328
12 467
Tasmania
-
-
-
19
444
3 879
12 026
Northern Territory
-
-
-
58
750
3 676
7 700
Australian Capital Territory
-
105
194
339
2 169
8 180
16 676
Australia
-
-
6
167
1 208
4 756
13 445
Rigid trucks
New South Wales
340
1 889
3 318
6 139
19 605
130 688
462 082
Victoria
113
2 935
6 109
10 529
28 840
105 376
339 684
Queensland
138
2 040
4 344
7 504
24 089
111 196
411 944
South Australia
198
2 042
5 186
9 981
23 463
95 812
313 900
Western Australia
32
1 639
3 278
6 392
22 911
89 224
180 270
Tasmania
-
1 382
3 220
6 513
23 533
106 074
418 153
Northern Territory
873
1 551
2 720
4 617
18 030
73 136
120 745
Australian Capital Territory
1 627
4 250
8 877
13 367
31 292
103 594
368 635
Australia
169
2 029
4 126
7 721
24 891
108 900
388 474
Articulated trucks
New South Wales
24 019
128 660
195 126
336 035
745 581
1 646 450
2 905 247
Victoria
15 707
127 356
206 720
354 550
931 292
2 083 384
3 029 664
Queensland
40 743
196 388
341 730
517 163
1 198 081
2 433 698
3 658 534
South Australia
26 074
101 379
175 815
277 848
977 988
2 483 171
3 977 642
Western Australia
5 760
117 143
197 508
315 297
921 528
3 154 292
5 324 610
Tasmania
11 454
77 435
137 759
313 864
622 800
1 395 036
2 951 847
Northern Territory
3 327
74 319
169 808
245 788
1 212 807
3 296 376
5 055 667
Australian Capital Territory
63 695
226 667
317 756
538 561
1 039 358
1 489 110
2 515 980
Australia
22 094
135 848
222 200
361 988
956 056
2 303 936
3 894 788

- nil or rounded to zero (including null cells)
(a) Based on distance travelled in a four month reference period