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9208.0 - Survey of Motor Vehicle Use, Australia, 12 months ended 31 October 2010 Quality Declaration 
Previous ISSUE Released at 11:30 AM (CANBERRA TIME) 23/08/2011   
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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 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 2010 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
6.1
14.3
6.9
5.6
3.6
22.9
8.4
4.7
Victoria
5.3
25.6
5.9
7.6
4.1
25.3
8.8
4.1
Queensland
5.9
17.1
7.0
5.5
4.0
19.0
8.7
4.3
South Australia
5.4
14.6
6.3
6.3
5.1
20.7
6.6
4.1
Western Australia
5.5
17.9
5.4
12.0
4.1
21.5
6.9
4.0
Tasmania
4.7
25.7
5.4
5.9
8.0
26.0
16.1
3.4
Northern Territory
8.1
28.0
6.5
9.0
8.8
np
np
5.3
Australian Capital Territory
5.4
23.4
6.8
5.3
8.5
np
np
4.6
Australia
2.7
8.4
3.1
3.3
1.8
10.2
3.8
2.1

Number of vehicles

New South Wales
1.6
4.6
2.1
1.7
1.7
14.9
4.5
1.3
Victoria
1.7
4.9
1.8
4.6
1.7
14.1
4.6
1.4
Queensland
1.7
5.3
2.0
1.9
2.0
11.2
3.5
1.3
South Australia
1.4
1.6
4.2
4.4
2.1
8.8
4.0
1.0
Western Australia
1.5
2.8
1.7
1.6
2.3
10.4
4.0
1.1
Tasmania
1.3
4.5
1.4
1.8
4.5
15.6
6.4
1.0
Northern Territory
2.6
4.0
2.9
5.2
3.3
np
np
1.7
Australian Capital Territory
2.8
7.0
2.3
1.5
4.9
np
np
2.4
Australia
0.7
1.9
0.9
1.4
0.9
5.8
1.8
0.6

Average kilometres travelled

New South Wales
5.9
13.8
6.6
5.4
3.5
14.0
8.2
4.5
Victoria
5.1
25.4
5.7
5.7
4.0
20.3
8.2
3.9
Queensland
5.6
17.0
6.9
5.3
3.7
17.9
8.2
4.1
South Australia
5.5
14.4
7.1
7.3
5.3
20.9
6.2
4.1
Western Australia
5.2
17.9
5.2
12.0
4.3
18.5
5.9
3.8
Tasmania
4.5
25.5
5.4
5.6
6.6
27.1
15.3
3.3
Northern Territory
7.9
28.2
6.4
8.6
9.0
25.7
7.8
5.2
Australian Capital Territory
5.3
20.2
6.4
5.2
6.8
15.3
np
4.5
Australia
2.6
8.1
3.1
2.9
1.9
8.7
3.5
2.0

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 2010 estimate for total kilometres travelled by all passenger vehicles registered in Australia is 163,360 million kilometres (Table 4 of the publication). The rounded RSE for this estimate is 2.7%, as shown above. Therefore, the standard error for the 2010 kilometres travelled by passenger vehicles estimate is 4,410 million kilometres (2.7% of 163,360 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 158,949 million kilometres to 167,770 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 154,540 million kilometres to 172,180 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 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
3.7
8.7
5.6
21.5
99.0
45.3
13.3
3.2
Diesel
16.7
99.9
6.1
3.4
2.0
12.0
4.7
3.0
LPG/CNG/dual fuel
15.9
-
16.1
40.0
30.8
66.1
16.9
11.4
Total
3.2
8.7
3.3
3.3
2.0
11.6
4.0
2.1

Average rate of fuel consumption

Petrol
1.8
2.7
1.6
10.1
100.0
9.2
3.9
1.5
Diesel
4.6
100.0
1.8
1.7
0.7
7.7
2.4
2.2
LPG/CNG/dual fuel
4.5
-
3.9
37.8
8.6
19.3
13.7
3.7
Total
1.6
2.7
1.2
1.7
0.7
7.3
2.3
1.0

- 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
20.4
11.5
3.9
3.7
Victoria
12.6
9.8
4.8
4.1
Queensland
15.9
7.9
5.8
4.9
South Australia
15.4
11.6
7.1
6.0
Western Australia
12.4
14.1
6.4
5.7
Tasmania
14.7
12.4
8.2
6.7
Northern Territory
13.2
9.2
15.9
14.4
Australian Capital Territory
23.6
18.8
27.8
14.1
Australia
8.4
5.5
2.5
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 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 2006 and 2010 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
2006
RSE (2006)
2010
RSE (2010)
Movement
SE (Movement)(a)
mill.
%
mill.
%
mill.
mill.

Type of vehicle
Passenger vehicles
156 184
2
163 360
3
7 176
5 683
Motor cycles
1 641
10
2 394
8
752
256
Light commercial vehicles
35 210
2
42 715
3
7 505
1 590
Rigid trucks
8 040
3
9 011
3
971
373
Articulated trucks
6 151
2
6 917
2
766
172
Non-freight trucks
261
13
210
10
-51
39
Buses
1 917
4
2 024
4
107
107
Total
209 405
2
226 632
2
17 227
6 013

(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 7,176 million kilometres and the standard error is 5,683 million kilometres, which means there are 19 chances in 20 that the true movement estimate is between a decrease of 4,190 million kilometres and an increase of 18,542 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 84% of all of the selections for 2010. After removing those vehicles that had been found to be deregistered or out of scope, the live response rate for the 2010 SMVU was 84%.

RESPONSE AND NON-RESPONSE BY CATEGORY

Percentage of selections 2010
%

Response received
Registered vehicle
79
Unregistered vehicle(a)
5
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 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
86
Victoria
83
Queensland
85
South Australia
86
Western Australia
86
Tasmania
84
Northern Territory
74
Australian Capital Territory
82
Australia
84


LIVE RESPONSE RATES, Type of vehicle

Response rate
%

Type of vehicle
Passenger vehicle
81
Motor cycles
80
Light commercial vehicles
81
Rigid trucks
85
Articulated trucks
86
Non-freight carrying trucks
86
Buses
85
Total
84



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 2010 (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 15.7 million vehicles was identified on 31 March 2009 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.

18 The responses received in the SMVU provide an indication of the quality of the frame. In 2010, 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 2010 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, 21.8% were found to be other vehicle types, 15.4% 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

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.

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
17
26
42
Victoria
15
31
38
Queensland
18
25
39
South Australia
16
25
37
Western Australia
14
23
37
Tasmania
18
23
46
Northern Territory
30
41
58
Australian Capital Territory
19
28
37
Australia
16
27
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
17
. .
43
Motor cycles
16
. .
34
Light commercial vehicles
17
41
40
Rigid trucks
14
28
36
Articulated trucks
14
26
27
Non-freight carrying vehicles
12
. .
32
Buses
10
. .
19
Total
16
27
39

. . 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 2010 SMVU, the frame was created on 31 March 2009. 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 2004
SMVU 2005
SMVU 2006
SMVU 2007
SMVU 2010
%
%
%
%
%

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

- nil or rounded to zero (including null cells)

CONTRIBUTION OF NEW VEHICLES REGISTERED AFTER 31 MARCH

Percentage of total kilometres travelled
2004
2005
2006
2007
2010
%
%
%
%
%

Type of vehicle
Passenger vehicles
10
11
11
10
9
Motor cycles
15
16
16
15
11
Light commercial vehicles
14
14
14
14
10
Rigid trucks
13
12
12
12
8
Articulated trucks
18
19
20
17
11
Non-freight carrying trucks
13
14
14
9
8
Buses
12
15
15
16
5
Total
11
12
12
11
9



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

2004
2005
2006
2007
2010

Number of registered vehicles with nil use

Passenger vehicles
406 865
393 971
409 471
456 884
561 613
Motor cycles
92 953
73 570
100 725
125 547
148 217
Light commercial vehicles
93 220
103 683
115 841
114 241
122 227
Rigid trucks
24 214
32 944
36 263
36 660
34 647
Articulated trucks
3 967
4 105
4 340
3 680
5 165
Non-freight carrying trucks
1 547
1 518
1 448
1 418
2 424
Buses
1 319
1 303
1 343
1 510
2 831
Total
624 085
611 094
669 430
739 940
877 123

Proportion of registered vehicles with nil use (%)

Passenger vehicles
4
4
4
4
5
Motor cycles
24
17
22
25
23
Light commercial vehicles
5
5
6
5
5
Rigid trucks
7
9
9
9
8
Articulated trucks
6
6
6
5
6
Non-freight carrying trucks
9
8
7
7
11
Buses
2
2
2
2
4
Total
5
4
5
5
6




DISTRIBUTIONS

28 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 1,002 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.

29 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
1 002
2 078
2 523
3 178
4 749
9 167
16 122
Victoria
1 121
2 350
2 788
3 232
5 130
8 397
17 227
Queensland
974
2 120
2 464
3 039
5 072
8 756
10 711
South Australia
876
1 673
2 066
2 727
4 072
6 771
11 747
Western Australia
1 277
2 206
2 668
3 296
4 983
8 407
14 081
Tasmania
897
1 632
2 227
2 818
4 570
7 833
13 269
Northern Territory
1 249
1 956
2 468
3 082
4 978
10 381
18 740
Australian Capital Territory
1 623
2 719
3 044
3 416
4 862
7 496
10 165
Australia
1 048
2 154
2 581
3 109
4 952
8 610
14 461
Motorcycles
New South Wales
30
350
712
901
1 613
4 045
4 681
Victoria
-
18
175
318
1 059
2 822
5 214
Queensland
4
300
560
837
1 872
5 537
11 259
South Australia
-
99
296
513
1 414
2 809
4 725
Western Australia
-
150
269
430
1 136
2 362
4 579
Tasmania
-
112
257
354
785
4 681
5 715
Northern Territory
23
284
362
495
1 366
5 850
18 724
Australian Capital Territory
-
292
593
855
1 462
4 393
5 980
Australia
-
195
358
599
1 359
4 228
7 368
Light commercial vehicles
New South Wales
1 049
3 018
3 420
4 173
6 242
13 269
18 924
Victoria
724
2 692
3 823
4 467
7 621
12 516
16 294
Queensland
891
2 632
3 430
4 660
6 875
13 260
19 483
South Australia
659
1 815
2 855
4 025
6 308
10 840
14 846
Western Australia
967
2 699
3 491
4 146
6 216
9 967
15 941
Tasmania
713
1 880
2 454
3 560
5 996
8 500
12 003
Northern Territory
1 159
2 352
2 840
3 670
5 368
8 928
17 712
Australian Capital Territory
1 623
3 036
3 670
4 155
6 291
9 677
13 783
Australia
901
2 652
3 430
4 269
6 753
12 784
18 924
Rigid trucks
New South Wales
799
2 412
3 547
4 726
8 133
16 939
33 448
Victoria
407
2 160
3 384
4 451
8 947
19 245
33 471
Queensland
524
2 112
3 225
4 452
8 542
16 743
26 107
South Australia
288
1 640
2 388
3 707
7 041
14 630
36 320
Western Australia
59
1 411
2 484
3 776
8 111
16 440
28 327
Tasmania
293
1 384
2 286
3 355
6 746
15 610
28 474
Northern Territory
391
1 280
1 891
2 790
5 285
10 246
19 108
Australian Capital Territory
1 740
3 607
4 298
5 391
8 730
18 889
29 061
Australia
465
2 099
3 143
4 364
8 302
16 889
33 255
Articulated trucks
New South Wales
3 287
10 613
14 887
20 969
37 976
57 126
72 652
Victoria
1 268
9 359
14 798
21 122
42 420
60 216
91 014
Queensland
3 055
12 387
18 588
26 921
43 781
60 771
79 630
South Australia
1 715
6 458
11 457
16 401
38 544
62 336
106 928
Western Australia
1 402
8 026
12 069
17 080
30 799
56 222
89 398
Tasmania
2 638
12 448
16 538
22 693
32 920
55 197
70 458
Northern Territory
260
4 687
8 563
15 504
27 466
46 687
57 880
Australian Capital Territory
8 469
27 021
31 779
35 065
44 058
58 097
74 131
Australia
1 982
9 926
14 730
21 046
39 419
59 852
84 050
Non-freight carrying trucks
New South Wales
982
3 677
4 724
5 185
8 097
12 718
12 943
Victoria
168
567
957
1 061
2 973
4 987
5 562
Queensland
169
641
1 428
2 504
4 973
11 476
13 539
South Australia
-
210
281
618
2 031
8 070
13 874
Western Australia
52
391
683
1 012
3 818
6 834
9 783
Tasmania
56
265
336
640
3 049
7 183
16 791
Northern Territory
np
np
np
np
np
np
np
Australian Capital Territory
np
np
np
np
np
np
np
Australia
151
567
1 012
1 604
4 760
9 783
12 943
Buses
New South Wales
2 002
3 969
5 671
6 872
10 674
20 170
37 179
Victoria
1 619
3 199
5 493
6 171
9 684
22 393
37 735
Queensland
1 266
2 813
3 970
4 706
9 344
22 524
34 899
South Australia
2 734
4 315
5 511
6 334
12 177
19 085
25 209
Western Australia
961
3 354
4 768
5 991
11 426
19 786
29 165
Tasmania
1 144
2 811
4 615
5 588
10 481
20 372
57 473
Northern Territory
np
np
np
np
np
np
np
Australian Capital Territory
np
np
np
np
np
np
np
Australia
1 558
3 439
4 779
6 141
10 250
20 627
34 899
Total
New South Wales
951
2 078
2 678
3 323
5 047
11 014
17 231
Victoria
985
2 295
2 788
3 260
5 241
9 790
20 537
Queensland
949
2 102
2 538
3 328
5 356
9 524
17 154
South Australia
779
1 637
2 066
2 753
4 457
8 386
13 177
Western Australia
1 024
2 045
2 650
3 305
5 211
9 370
15 924
Tasmania
741
1 585
2 226
2 836
4 909
8 002
13 815
Northern Territory
1 076
1 956
2 489
3 094
5 219
10 473
20 614
Australian Capital Territory
1 477
2 566
3 008
3 416
4 880
7 496
16 152
Australia
949
2 090
2 627
3 233
5 156
9 768
17 231

- 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 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
-
-
60
178
1 093
5 171
8 943
Victoria
-
-
8
148
1 161
3 896
7 719
Queensland
-
-
-
64
942
3 430
6 774
South Australia
-
-
43
272
1 083
3 033
9 150
Western Australia
-
-
59
202
1 096
3 694
5 569
Tasmania
-
-
-
12
490
2 493
6 319
Northern Territory
-
-
-
155
1 011
4 116
5 858
Australian Capital Territory
-
-
54
238
998
3 423
5 995
Australia
-
-
12
142
1 012
3 847
7 698
Rigid trucks
New South Wales
313
1 742
2 950
5 196
17 476
86 100
310 690
Victoria
168
1 914
3 059
5 436
16 432
80 329
278 747
Queensland
390
2 608
4 360
6 687
19 495
87 642
307 929
South Australia
103
1 882
3 215
5 707
15 680
71 256
292 628
Western Australia
-
1 333
2 818
6 398
18 219
69 883
545 218
Tasmania
20
1 112
2 416
4 560
14 467
69 498
272 805
Northern Territory
304
1 170
2 631
3 933
10 036
36 181
71 090
Australian Capital Territory
748
3 472
5 244
7 949
24 714
98 215
362 912
Australia
205
1 811
3 264
5 653
17 677
78 851
299 975
Articulated trucks
New South Wales
30 641
109 445
164 512
262 691
717 700
1 515 028
2 390 542
Victoria
10 318
79 663
151 576
264 868
746 431
1 575 076
2 435 911
Queensland
28 835
134 058
237 948
381 920
910 182
1 731 980
2 107 508
South Australia
10 197
70 353
141 050
235 910
800 413
2 118 103
3 368 246
Western Australia
14 584
91 838
158 834
263 972
690 637
2 176 265
4 856 542
Tasmania
23 744
163 474
268 653
331 722
528 739
1 342 085
1 947 699
Northern Territory
284
48 820
173 129
271 320
752 675
1 680 626
2 701 238
Australian Capital Territory
76 221
344 787
447 975
522 560
967 275
1 324 880
1 861 879
Australia
18 101
105 689
169 454
290 235
768 299
1 656 959
2 996 112

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



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