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9208.0 - Survey of Motor Vehicle Use, Australia, 01 Nov 2004 to 31 Oct 2005  
Previous ISSUE Released at 11:30 AM (CANBERRA TIME) 07/09/2006   
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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 methodology 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 data 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 that have an estimated relative standard error between 10% and 25% are annotated with the symbol '^' . These estimates should be used with caution as they are subject to sampling variability too high for some purposes. 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 2005 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
5.2
16.9
6.6
4.8
5.0
25.4
8.4
4.0
Victoria
4.5
16.1
8.2
5.9
4.0
20.7
12.0
3.7
Queensland
5.1
13.8
7.2
6.6
4.8
13.3
10.2
3.9
South Australia
4.4
21.0
7.3
8.0
5.3
34.7
7.9
3.6
Western Australia
6.1
18.2
10.2
8.0
5.9
24.4
11.5
5.0
Tasmania
6.2
16.6
10.7
9.6
5.3
18.9
7.9
5.0
Northern Territory
6.8
17.4
12.8
11.1
9.7
23.8
10.7
5.3
Australian Capital Territory
4.3
13.2
7.0
7.2
8.8
17.0
10.5
3.7
Australia
2.4
7.3
3.5
2.7
2.1
10.2
4.6
1.9

Number of vehicles

New South Wales
1.4
3.2
3.4
1.4
2.7
18.3
4.1
1.1
Victoria
1.9
2.7
3.3
1.7
1.9
9.3
4.2
1.5
Queensland
1.9
2.4
2.3
1.6
2.1
8.0
3.5
1.4
South Australia
1.6
3.7
3.3
1.6
2.2
13.0
3.5
1.3
Western Australia
1.1
2.8
1.5
1.1
2.0
10.5
6.2
0.9
Tasmania
2.0
2.9
2.9
2.5
2.0
10.2
3.4
1.5
Northern Territory
1.6
2.7
3.4
11.3
3.6
13.8
8.4
1.2
Australian Capital Territory
2.2
4.9
2.9
1.7
4.5
16.4
4.4
1.9
Australia
0.8
1.3
1.4
0.7
1.0
5.0
1.9
0.6

Average kilometres travelled

New South Wales
5.1
16.8
6.2
4.6
4.5
23.9
7.8
4.0
Victoria
4.3
16.1
8.0
5.8
4.0
18.6
12.0
3.6
Queensland
5.0
13.9
6.9
6.4
4.6
13.9
9.7
3.8
South Australia
4.2
20.3
6.9
8.0
5.4
36.4
7.5
3.4
Western Australia
5.9
18.1
10.2
8.0
5.9
23.2
10.7
4.9
Tasmania
6.1
16.5
10.3
9.4
5.2
21.8
7.7
4.8
Northern Territory
6.6
16.9
12.2
12.8
8.9
19.5
11.9
5.2
Australian Capital Territory
4.2
12.9
6.6
7.1
7.8
19.8
11.6
3.6
Australia
2.4
7.3
3.3
2.7
2.0
9.5
4.4
1.9

(a) These RSEs relate to the estimates in Table 4.


6 As an example of the use of an RSE, the 2005 estimate for kilometres travelled by all passenger vehicles registered in Australia is 155,068 million kilometres (Table 4 of the publication). The rounded RSE for this estimate is 2.4%, as shown above. Therefore, the standard error for the 2005 kilometres travelled by passenger vehicles estimate is 3,722 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 151,346 million kilometres to 158,790 million kilometres. There are about 19 chances in 20 that the figure would have been in the range 147,624 million kilometres to 162,512 million kilometres.


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 variables are shown in the following tables. The RSEs of further detailed variables can be made available on request.

RSE OF FUEL CONSUMPTION(a), Type of fuel - Type of vehicle

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

Total fuel consumption

Petrol
Lead replacement
19.0
34.8
24.1
44.6
85.7
47.3
69.1
15.3
Unleaded
2.8
7.6
5.4
25.1
99.4
43.2
17.0
2.5
Total
2.7
7.4
5.2
29.6
72.5
36.4
16.9
2.4
Diesel
18.8
-
8.6
3.4
2.0
9.9
6.5
3.1
LPG/CNG/dual fuel
20.0
105.5
23.2
44.0
86.3
51.6
28.0
16.0
Total
2.7
7.4
3.7
3.4
2.0
9.4
5.4
1.8

Average rate of fuel consumption

Petrol
Lead replacement
5.7
11.1
4.8
18.1
41.9
9.7
30.3
4.6
Unleaded
1.1
2.4
1.8
8.9
100.0
20.5
2.8
0.9
Total
1.1
2.3
1.7
14.1
34.2
22.5
2.8
0.9
Diesel
7.3
-
2.5
1.8
0.8
5.6
2.9
2.6
LPG/CNG/dual fuel
6.7
100.0
6.3
15.0
1.4
53.9
12.2
5.7
Total
1.2
2.3
1.4
1.8
0.8
6.1
3.0
0.9

- nil or rounded to zero (including null cells)
(a) These RSEs relate to the estimates in Table 5.

RSE of freight vehicles(a), State/territory of operation

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

Total tonne-kilometres

New South Wales
16.2
8.3
4.8
4.0
Victoria
15.8
11.3
5.2
4.7
Queensland
14.2
11.0
5.7
4.7
South Australia
17.0
22.2
6.9
6.4
Western Australia
18.9
16.0
8.5
7.5
Tasmania
17.3
12.8
6.1
5.2
Northern Territory
16.5
24.0
15.9
13.9
Australian Capital Territory
19.1
31.5
19.7
21.8
Australia
7.7
5.0
2.7
2.3

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


9 Summary tables in this publication contain estimates for earlier years. Because of cost and provider load constraints, the SMVU cannot be designed to provide accurate measures of the movements between reference periods. Care should be taken in drawing inferences from changes in data over these years.


10 The standard error for the movement can be calculated using:

Equation: EQ1_SE
where
Equation: EQ2 is an estimate of total of the variable of interest, obtained from the 1st time point
Equation: EQ3 is an estimate of total of the same variable of interest, obtained from the 2nd time point
Equation: EQ4 is 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 2001 and 2005 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

Level estimates
Movement estimates
2001
RSE (2001)
2005
RSE (2005)
Movement
SE (Movement)(a)
Type of vehicle
mill.
%
mill.
%
mill.
mill.

Passenger vehicles
143 925
2.5
155 068
2.4
11 143
5 233
Motor cycles
1 448
8.2
1 429
7.3
-18
157
Light commercial vehicles
30 728
2.8
33 764
3.5
3 036
1 446
Rigid trucks
6 627
2.8
7 671
2.7
1 044
278
Articulated trucks
5 321
2.3
6 308
2.1
987
179
Non-freight carrying trucks
267
10.1
286
10.2
19
40
Buses
1 835
3.4
1 856
4.6
21
106
Total
190 152
2.0
206 383
1.9
16 231
5 416

(a) 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 in analysing the movements in the estimates. For example, the estimate of movement for passenger vehicles is an increase of 11,143 million kilometres and the standard error is 5,233 million kilometres, which means there are 19 chances in 20 that the true movement estimate is between an increase of 677 million kilometres and 21,609 million kilometres.



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 by providers, 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 78% of all of the selections for 2005. After removing those vehicles that had been found to be deregistered or out of scope, the live response rate for the 2005 SMVU was 77%.

RESPONSE AND NON-RESPONSE BY CATEGORY

Percentage of selections 2005
%

Response received
Registered vehicle
73
Unregistered vehicle(a)
5
Non-response
Untraceable - mailing address unknown
7
Other(b)
15
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 quarter 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 Live response rates for each state and territory, and for each vehicle type, are shown in the following tables:

LIVE RESPONSE RATES, State/Territory

Response rate
%

New South Wales
79
Victoria
76
Queensland
80
South Australia
82
Western Australia
77
Tasmania
79
Northern Territory
65
Australian Capital Territory
74
Australia
77

LIVE RESPONSE RATES, Type of vehicle

Response rate
%

Passenger vehicle
73
Motor cycles
70
Light commercial vehicles
72
Rigid trucks
79
Articulated trucks
78
Non-freight carrying trucks
84
Buses
85
Total
77


16 A large non-response increases the potential magnitude of 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 including the proportion of deregistered, out of scope and nil use vehicles are the same as for responding vehicles.


Frame quality

17 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 31 October 2005 (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 13.5 million vehicles was identified on 31 March 2004 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 15,988 vehicles was selected for reporting on vehicle use.


18 The responses received in the SMVU provide an indication of the quality of the frame. In 2005 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 0.2% of the total frame. This indicates the frame was reliable in terms of providing an accurate number of registered vehicles in Australia.


19 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 7 and 19 months). Vehicle classification anomalies can also result from data supplied by state and territory vehicle registration authorities. An assessment of vehicle classification anomalies from 2005 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, 14.6% were found to be other vehicle types, while 14.3% of vehicles listed as buses were found to be other vehicle types. This issue is not significant for other vehicle types on the frame.


Imputation

20 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. As for previous surveys, the need for imputation of unanswered items on the returned questionnaires remained quite high. This is called partial imputation. Of the questionnaires returned for 2005, 11% needed imputation of one or more items apart from the average rate of fuel consumption.


21 Total fuel consumption can be difficult to collect, being derived from the product of total distance travelled and the average fuel consumption rate. The average fuel consumption rate can be reported directly by the respondent or derived from the respondent reporting an amount of fuel consumed and the distance travelled on that fuel (for all or part of the period). If records have not been kept during the reference period, it can be difficult for the provider to provide or reasonably estimate fuel consumption. If this is the case the fuel consumption rate is imputed from the average of 'like' responding providers.


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
22
28
40
Victoria
28
35
44
Queensland
23
27
41
South Australia
20
22
39
Western Australia
26
32
42
Tasmania
23
33
45
Northern Territory
39
56
53
Australian Capital Territory
24
36
43
Australia
24
30
42

(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
24
. .
45
Motor cycles
28
. .
49
Light commercial vehicles
26
46
43
Rigid trucks
19
28
34
Articulated trucks
20
30
33
Non-freight carrying vehicles
17
. .
43
Buses
15
. .
24
Total
24
30
42

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



SURVEY PROCEDURES

23 The survey is comprised of four independent samples, with a different one used for each 3 month quarter 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.


Adjustments

24 The SMVU measures 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 2005 SMVU the frame was created on 31 March 2004. 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

Percentage of total kilometres travelled
SMVU 2001
SMVU 2002
SMVU 2003
SMVU 2004
SMVU 2005
%
%
%
%
%

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

- nil or rounded to zero (including null cells)

CONTRIBUTION OF NEW VEHICLES REGISTERED AFTER 31 MARCH

Percentage of total kilometres travelled
2000
2001
2002
2003
2004
%
%
%
%
%

Type of vehicle
Passenger vehicles
4
5
9
10
10
Motor cycles
5
8
17
15
15
Light commercial vehicles
4
5
11
14
14
Rigid trucks
3
4
10
10
13
Articulated trucks
6
6
14
17
18
Non-freight carrying trucks
4
2
8
13
13
Buses
3
5
11
14
12
Total
4
5
10
11
11


25 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.


Pre-advice methodology

26 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 three months apart) provide reliable estimates of total distance travelled without a recall bias.


Nil use

27 Some providers may report nil use for the 3 month reference period in which they were selected. Nil use vehicles are live registered vehicles that reported travelling zero kilometres during that specific reference period only. 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

2001
2002
2003
2004
2005

Number of registered vehicles with nil use

Passenger vehicles
305 723
350 224
345 789
406 865
393 971
Motor cycles
69 740
87 690
76 212
92 953
73 570
Light commercial vehicles
84 806
70 111
77 282
93 220
103 683
Rigid trucks
29 059
26 130
21 725
24 214
32 944
Articulated trucks
3 740
3 575
4 187
3 967
4 105
Non-freight carrying trucks
1 675
1 563
1 270
1 547
1 518
Buses
1 569
1 217
1 679
1 319
1 303
Total
496 312
540 510
528 144
624 085
611 094

Proportion of registered vehicles with nil use (%)

Passenger vehicles
3
3
3
4
4
Motor cycles
20
24
20
24
17
Light commercial vehicles
5
4
4
5
5
Rigid trucks
9
8
6
7
9
Articulated trucks
6
6
7
6
6
Non-freight carrying trucks
9
9
7
9
7
Buses
3
2
3
2
2
Total
4
4
4
5
4



STRATIFICATION CHANGES

28 An investigation into the stratification of the SMVU was conducted in 2003 to determine whether the quality of the SMVU estimates could be improved by using alternate or additional stratification variables or boundaries. The aim of the investigation was to reduce the RSEs of the key data items of total distance travelled and tonne-kilometres travelled, at the state by vehicle type level, while maintaining the existing quarterly sample size of 4,000 vehicles.


29 The investigations showed that by implementing changes to the stratification, a reduction in RSEs for these key data items would be realised. The main changes to the stratification variables were to increase the importance of, and number of, 'vehicle age' cohorts, and to remove 'area of registration'.


30 These changes were implemented for the 2004 SMVU and have resulted in the survey frame being stratified by state of registration, vehicle type, vehicle age and vehicle size.



DISTRIBUTIONS

31 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 quarter 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 1,238 kilometres or less for the quarter 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.


32 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
1 238
2 298
2 887
3 816
5 582
8 329
17 569
Victoria
1 192
2 358
2 831
3 290
5 050
8 287
13 283
Queensland
1 510
2 650
3 205
3 660
5 689
8 948
13 007
South Australia
1 290
2 135
2 614
2 991
4 655
7 325
10 339
Western Australia
1 006
2 273
2 859
3 490
5 133
9 739
14 695
Tasmania
1 328
2 150
2 698
3 428
5 156
10 344
15 781
Northern Territory
1 207
2 072
2 559
2 957
4 230
8 163
20 550
Australian Capital Territory
1 115
2 727
3 228
3 985
5 543
8 094
9 947
Australia
1 246
2 336
2 867
3 512
5 300
8 542
13 493
Motorcycles
New South Wales
31
243
358
497
1 231
2 936
4 395
Victoria
33
175
427
664
1 569
3 365
5 571
Queensland
82
423
546
681
1 352
3 820
4 966
South Australia
-
162
296
527
1 126
2 858
7 187
Western Australia
-
32
138
371
1 479
3 218
4 107
Tasmania
-
76
274
472
1 320
3 168
3 844
Northern Territory
197
483
593
784
1 872
4 994
9 805
Australian Capital Territory
119
549
825
1 256
2 247
4 213
4 838
Australia
19
205
415
576
1 483
3 365
5 571
Light commercial vehicles
New South Wales
1 509
2 931
3 579
4 551
6 879
11 980
16 495
Victoria
1 134
2 321
3 332
4 092
6 430
11 854
14 121
Queensland
951
2 731
3 426
4 860
7 299
11 538
16 737
South Australia
1 562
2 699
3 649
4 523
7 005
11 648
15 498
Western Australia
534
2 320
2 736
3 650
5 916
11 612
19 371
Tasmania
793
1 708
2 425
3 396
6 822
13 355
18 739
Northern Territory
1 023
2 381
3 368
3 809
6 233
12 294
26 530
Australian Capital Territory
1 617
2 761
3 257
3 870
6 539
9 677
11 251
Australia
1 152
2 572
3 368
4 227
6 516
11 806
17 058
Rigid trucks
New South Wales
612
2 346
3 551
4 873
9 105
19 050
28 689
Victoria
195
1 444
2 661
4 352
8 789
16 420
34 592
Queensland
640
2 841
4 401
6 066
10 346
22 214
37 890
South Australia
161
1 203
2 166
3 468
6 481
12 390
28 810
Western Australia
94
800
1 616
2 245
6 784
13 545
25 807
Tasmania
391
1 731
2 752
3 836
6 531
18 435
32 227
Northern Territory
391
1 727
2 809
4 078
7 199
14 198
28 689
Australian Capital Territory
1 226
3 323
4 906
6 014
10 470
20 927
34 941
Australia
356
1 835
3 030
4 553
8 712
18 208
31 370
Articulated trucks
New South Wales
3 507
11 674
16 408
23 669
40 057
58 123
87 875
Victoria
3 354
10 279
17 641
24 808
44 181
62 777
87 690
Queensland
2 728
13 518
20 016
28 476
47 508
65 758
95 945
South Australia
2 955
10 026
16 569
23 060
45 884
67 619
103 471
Western Australia
1 358
8 268
11 401
17 023
32 632
51 828
86 662
Tasmania
4 302
15 723
22 425
26 855
34 635
55 430
86 215
Northern Territory
1 386
7 703
13 314
16 701
33 411
59 796
71 134
Australian Capital Territory
4 126
17 485
29 857
36 927
49 248
69 215
93 773
Australia
2 893
10 565
16 790
23 888
42 290
62 238
92 917
Non-freight carrying trucks
New South Wales
486
1 209
1 543
2 660
5 136
20 057
23 341
Victoria
368
438
1 174
4 594
9 612
20 524
25 009
Queensland
301
1 755
2 430
3 523
6 291
12 579
18 601
South Australia
28
285
355
461
839
9 175
21 455
Western Australia
8
241
316
508
4 594
9 191
13 852
Tasmania
113
113
142
635
2 875
6 685
12 431
Northern Territory
154
1 015
2 387
3 007
8 126
10 879
12 465
Australian Capital Territory
1 326
1 905
3 335
5 170
9 253
23 110
29 349
Australia
226
508
1 061
2 122
6 291
12 990
23 341
Buses
New South Wales
2 325
4 384
5 439
7 878
11 793
18 949
44 377
Victoria
2 508
4 814
5 692
6 547
11 550
20 327
39 006
Queensland
1 711
3 775
4 757
5 583
11 243
19 970
53 166
South Australia
2 677
4 429
6 038
7 937
13 135
21 546
32 759
Western Australia
1 344
3 391
4 487
5 604
12 740
23 335
27 520
Tasmania
1 321
2 761
3 979
5 445
8 684
15 450
20 807
Northern Territory
1 247
2 632
3 222
4 430
10 252
21 969
35 586
Australian Capital Territory
778
3 066
3 867
7 820
15 021
23 221
43 248
Australia
2 020
4 051
5 172
6 087
11 715
20 237
39 884
Total
New South Wales
1 191
2 297
2 931
3 841
5 873
9 131
19 900
Victoria
1 058
2 273
2 762
3 351
5 214
9 050
16 708
Queensland
1 234
2 526
3 185
3 761
5 937
10 465
14 516
South Australia
1 145
2 054
2 670
3 094
4 911
8 170
12 591
Western Australia
784
2 123
2 788
3 397
5 156
10 462
17 058
Tasmania
1 005
2 012
2 588
3 400
5 595
10 521
18 398
Northern Territory
1 075
2 070
2 631
3 278
5 078
9 952
22 140
Australian Capital Territory
1 029
2 660
3 181
3 827
5 578
8 199
10 358
Australia
1 134
2 273
2 857
3 569
5 543
9 370
17 058

- nil or rounded to zero (including null cells)
(a) Based on distance travelled in a quarter

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
-
6
148
310
1 508
4 932
11 293
Victoria
-
-
89
200
1 235
4 549
7 910
Queensland
-
-
18
308
1 556
5 296
6 796
South Australia
-
41
137
427
1 751
4 947
9 203
Western Australia
-
-
-
161
1 110
3 848
4 944
Tasmania
-
-
-
72
1 067
3 264
9 427
Northern Territory
-
-
55
175
707
2 689
4 839
Australian Capital Territory
-
10
119
279
1 143
3 257
6 838
Australia
-
-
78
288
1 385
4 605
7 948
Rigid trucks
New South Wales
269
1 570
3 412
5 872
21 394
79 769
340 196
Victoria
74
1 282
3 142
7 219
22 736
120 476
425 096
Queensland
258
2 873
5 111
8 987
26 145
104 396
340 685
South Australia
118
1 156
3 133
6 192
18 207
53 402
234 787
Western Australia
-
977
1 759
3 465
12 910
44 872
131 995
Tasmania
57
1 812
4 009
6 423
16 243
63 505
314 650
Northern Territory
541
1 857
3 674
6 541
13 588
35 452
241 952
Australian Capital Territory
853
3 575
5 535
9 964
25 295
105 079
381 936
Australia
122
1 672
3 456
6 425
20 431
82 240
338 194
Articulated trucks
New South Wales
36 573
127 315
184 589
332 315
668 020
1 590 195
2 612 761
Victoria
30 574
125 963
201 473
342 793
872 143
1 813 425
2 296 426
Queensland
21 944
149 904
248 325
400 127
898 379
1 846 315
2 641 077
South Australia
24 829
108 302
214 764
353 401
971 152
2 061 924
3 145 854
Western Australia
11 152
96 745
182 342
241 976
655 260
1 982 400
3 466 489
Tasmania
39 065
196 247
273 214
347 090
538 390
1 077 688
1 774 223
Northern Territory
9 112
103 329
165 025
300 343
915 902
3 084 422
3 823 713
Australian Capital Territory
34 603
218 558
406 820
518 612
872 442
1 727 637
2 113 696
Australia
24 886
127 247
205 170
339 158
814 140
1 752 643
2 612 761

- nil or rounded to zero (including null cells)
(a) Based on distance travelled in a quarter


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Commonwealth of Australia 2014

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