9208.0 - Survey of Motor Vehicle Use, Australia, 12 months ended 31 Oct 2007 Quality Declaration 
ARCHIVED ISSUE Released at 11:30 AM (CANBERRA TIME) 28/08/2008   
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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 2007 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
4.9
15.2
4.9
5.8
4.8
27.9
9.9
3.8
Victoria
4.5
16.7
5.8
6.1
4.1
25.6
7.1
3.5
Queensland
4.3
25.4
7.0
6.7
4.7
20.4
8.5
3.3
South Australia
5.2
22.6
6.1
6.2
4.8
29.1
8.8
4.0
Western Australia
4.9
17.4
7.6
6.0
4.1
20.0
13.2
3.8
Tasmania
5.5
27.6
7.7
13.9
4.7
23.6
7.2
4.1
Northern Territory
5.3
19.9
7.1
8.8
9.4
26.1
8.0
3.8
Australian Capital Territory
4.7
13.4
10.9
7.2
7.8
22.7
8.7
4.1
Australia
2.2
9.5
2.9
2.8
2.1
11.8
4.2
1.7

Number of vehicles

New South Wales
1.9
4.7
2.1
1.4
2.1
18.0
3.9
1.5
Victoria
1.8
2.7
1.6
1.6
1.9
12.8
3.7
1.5
Queensland
2.2
3.2
2.4
1.5
2.5
9.7
3.0
1.7
South Australia
1.6
3.5
1.6
1.7
1.3
9.2
4.1
1.3
Western Australia
1.7
2.3
3.4
1.5
2.1
10.2
4.6
1.2
Tasmania
1.8
5.3
2.1
2.6
3.6
7.8
3.8
1.3
Northern Territory
2.2
4.8
1.9
6.4
3.6
9.7
7.6
1.4
Australian Capital Territory
1.9
7.9
3.2
1.5
5.1
8.7
7.3
1.6
Australia
0.9
1.6
1.0
0.7
1.0
5.9
1.6
0.7

Average kilometres travelled

New South Wales
4.7
14.6
4.8
5.8
4.3
24.6
9.3
3.6
Victoria
4.3
16.9
5.6
6.0
3.8
23.5
6.7
3.4
Queensland
4.2
25.5
6.9
6.5
4.5
20.0
7.8
3.1
South Australia
5.0
22.6
6.0
6.1
4.9
26.4
8.5
3.8
Western Australia
4.8
17.2
6.9
5.9
4.2
18.6
12.9
3.7
Tasmania
5.3
27.9
7.6
11.8
4.9
22.6
6.8
4.0
Northern Territory
5.0
18.9
6.9
6.9
9.5
22.9
7.7
3.7
Australian Capital Territory
4.4
13.6
11.0
7.0
7.5
22.7
9.7
3.9
Australia
2.1
9.5
2.9
2.8
2.0
10.9
3.9
1.6

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


6 As an example of the use of an RSE, the 2007 estimate for total kilometres travelled by all passenger vehicles registered in Australia is 157,928 million kilometres (Table 4 of the publication). The rounded RSE for this estimate is 2.2%, as shown above. Therefore, the standard error for the 2007 kilometres travelled by passenger vehicles estimate is 3,474 million kilometres (2.2% of 157,928 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 154,454 million kilometres to 161,402 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 150,980 million kilometres to 164,876 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
2.6
10.3
4.8
17.3
-
42.3
19.1
2.3
Diesel
15.9
-
6.5
3.5
2.2
17.1
5.0
2.4
LPG/CNG/dual fuel
19.8
-
15.5
41.6
75.2
67.4
33.6
14.9
Total
2.5
10.3
3.0
3.4
2.2
15.7
4.5
1.6

Average rate of fuel consumption

Petrol
0.9
3.4
1.5
8.5
-
24.2
6.1
0.8
Diesel
3.9
-
1.7
1.6
0.7
7.3
2.2
1.9
LPG/CNG/dual fuel
5.2
-
4.4
14.7
20.2
25.5
11.7
3.8
Total
1.0
3.4
1.1
1.6
0.7
6.9
2.4
0.7

- 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
11.2
10.3
4.9
4.2
Victoria
11.2
14.4
5.5
4.9
Queensland
12.8
16.6
5.9
5.5
South Australia
11.9
14.3
7.7
6.8
Western Australia
13.7
13.0
6.4
5.6
Tasmania
28.7
14.6
7.0
6.1
Northern Territory
18.5
11.2
14.2
12.6
Australian Capital Territory
21.5
34.6
21.2
19.3
Australia
5.8
6.2
2.7
2.4

(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_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 2003 and 2007 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
2003
RSE (2003)
2007
RSE (2007)
Movement
SE (Movement)(a)
Type of vehicle
mill.
%
mill.
%
mill.
mill.

Passenger vehicles
151 743
3
157 928
2
6 184
5 457
Motor cycles
1 376
9
1 905
9
528
216
Light commercial vehicles
32 671
3
37 385
3
4 713
1 515
Rigid trucks
7 768
3
8 644
3
876
360
Articulated trucks
5 841
3
6 929
2
1 088
219
Non-freight trucks
203
8
283
12
80
38
Buses
1 893
3
2 097
4
204
107
Total
201 497
2
215 171
2
13 674
5 611

(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 6,184 million kilometres and the standard error is 5,457 million kilometres, which means there are 19 chances in 20 that the true movement estimate is between a decrease of 4,730 million kilometres and an increase of 17,098 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 83% of all of the selections for 2007. After removing those vehicles that had been found to be deregistered or out of scope, the live response rate for the 2007 SMVU was 82%.

RESPONSE AND NON-RESPONSE BY CATEGORY

Percentage of selections 2007
%

Response received
Registered vehicle
78
Unregistered vehicle(a)
5
Non-response
Untraceable - mailing address unknown
5
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 reproted 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
84
Victoria
82
Queensland
84
South Australia
87
Western Australia
85
Tasmania
85
Northern Territory
73
Australian Capital Territory
78
Australia
82

LIVE RESPONSE RATES, Type of vehicle

Response rate
%

Passenger vehicle
82
Motor cycles
81
Light commercial vehicles
80
Rigid trucks
83
Articulated trucks
84
Non-freight carrying trucks
86
Buses
83
Total
82


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 2007 (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 14.4 million vehicles was identified on 31 March 2006 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 2007, 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 2007 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, 23.9% were found to be other vehicle types, 15.5% of vehicles listed as buses were found to be other vehicle types and 2.1% of vehicles listed as articulated trucks 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
14
31
42
Victoria
16
34
45
Queensland
19
26
44
South Australia
15
21
36
Western Australia
16
27
43
Tasmania
15
38
46
Northern Territory
28
51
55
Australian Capital Territory
15
32
44
Australia
16
29
43

(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
. .
46
Motor cycles
16
. .
45
Light commercial vehicles
18
48
45
Rigid trucks
16
28
38
Articulated trucks
16
29
32
Non-freight carrying vehicles
14
. .
50
Buses
15
. .
27
Total
16
29
43

. . 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 2007 SMVU, the frame was created on 31 March 2006. 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 2003
SMVU 2004
SMVU 2005
SMVU 2006
SMVU 2007
%
%
%
%
%

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

- nil or rounded to zero (including null cells)

CONTRIBUTION OF NEW VEHICLES REGISTERED AFTER 31 MARCH

Percentage of total kilometres travelled
2003
2004
2005
2006
2007
%
%
%
%
%

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

2003
2004
2005
2006
2007

Number of registered vehicles with nil use

Passenger vehicles
345 789
406 865
393 971
409 471
456 884
Motor cycles
76 212
92 953
73 570
100 725
125 547
Light commercial vehicles
77 282
93 220
103 683
115 841
114 241
Rigid trucks
21 725
24 214
32 944
36 263
36 660
Articulated trucks
4 187
3 967
4 105
4 340
3 680
Non-freight carrying trucks
1 270
1 547
1 518
1 448
1 418
Buses
1 679
1 319
1 303
1 343
1 510
Total
528 144
624 085
611 094
669 430
739 940

Proportion of registered vehicles with nil use (%)

Passenger vehicles
3
4
4
4
4
Motor cycles
20
24
17
22
25
Light commercial vehicles
4
5
5
6
5
Rigid trucks
6
7
9
9
9
Articulated trucks
7
6
6
6
5
Non-freight carrying trucks
7
9
7
7
7
Buses
3
2
2
2
2
Total
4
5
4
5
5



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 1,297 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
1 297
2 349
2 798
3 507
5 359
8 564
11 393
Victoria
1 364
2 274
2 887
3 453
5 650
8 370
13 961
Queensland
1 473
2 587
2 942
3 642
5 347
7 860
9 888
South Australia
871
1 868
2 273
2 750
4 410
7 496
11 946
Western Australia
1 161
2 365
2 841
3 617
5 259
7 885
16 166
Tasmania
811
1 934
2 327
2 863
4 594
9 063
12 578
Northern Territory
1 055
1 929
2 659
3 276
5 074
9 596
14 740
Australian Capital Territory
1 335
2 468
3 094
3 503
5 202
7 735
10 057
Australia
1 260
2 282
2 823
3 448
5 334
8 140
11 645
Motorcycles
New South Wales
46
312
583
794
2 349
4 153
5 600
Victoria
-
132
340
485
1 158
3 472
8 137
Queensland
-
182
409
515
2 135
3 992
12 243
South Australia
-
179
356
473
837
3 751
6 877
Western Australia
-
133
237
389
1 257
3 277
4 085
Tasmania
-
303
358
407
1 036
4 065
10 811
Northern Territory
-
182
443
647
1 849
4 550
5 015
Australian Capital Territory
-
296
358
826
1 593
3 310
5 163
Australia
-
194
358
540
1 569
3 955
7 459
Light commercial vehicles
New South Wales
1 233
2 400
3 368
4 153
6 233
10 932
16 924
Victoria
946
2 540
3 450
4 397
6 902
12 956
17 679
Queensland
1 324
2 281
3 144
3 724
7 248
14 534
22 115
South Australia
829
2 441
2 920
3 636
6 127
11 365
16 051
Western Australia
652
2 267
3 161
3 917
6 616
11 441
18 188
Tasmania
668
2 456
3 086
3 886
6 494
10 324
22 445
Northern Territory
1 585
2 807
3 636
4 349
6 037
11 193
26 778
Australian Capital Territory
951
2 814
3 593
4 541
6 928
12 996
18 598
Australia
1 093
2 463
3 269
4 043
6 640
12 402
19 306
Rigid trucks
New South Wales
643
2 406
3 415
4 700
8 814
18 856
44 929
Victoria
224
1 444
2 731
4 145
9 018
18 200
35 598
Queensland
700
2 406
3 663
4 931
8 827
21 016
34 243
South Australia
361
1 406
2 406
3 605
6 908
15 873
32 882
Western Australia
98
1 106
2 166
4 029
9 215
18 580
31 989
Tasmania
338
1 129
1 782
3 101
7 017
22 266
32 919
Northern Territory
537
2 037
2 504
3 338
6 282
13 819
38 443
Australian Capital Territory
1 564
3 433
4 328
5 673
9 544
23 908
50 737
Australia
383
1 813
3 002
4 390
8 798
18 844
36 207
Articulated trucks
New South Wales
3 184
11 237
16 774
22 735
39 041
58 008
72 046
Victoria
3 530
13 174
20 475
28 193
46 560
63 719
88 112
Queensland
3 822
13 262
19 542
25 770
47 865
68 670
89 323
South Australia
1 783
8 624
12 800
19 958
45 012
65 924
98 821
Western Australia
1 514
7 411
11 436
16 931
32 414
59 926
89 051
Tasmania
4 614
13 984
21 573
25 929
34 728
54 818
70 710
Northern Territory
1 721
6 104
10 327
12 887
35 307
63 159
74 473
Australian Capital Territory
7 308
22 916
35 115
38 593
53 918
65 140
79 638
Australia
2 950
11 125
17 335
24 030
42 557
64 181
88 275
Non-freight carrying trucks
New South Wales
186
1 095
1 676
1 690
4 381
10 952
12 718
Victoria
522
1 891
2 984
3 979
7 279
18 007
26 540
Queensland
670
1 316
3 200
4 203
7 218
22 977
25 140
South Australia
147
363
492
926
3 092
9 356
18 145
Western Australia
184
919
1 670
2 081
4 988
7 498
18 295
Tasmania
113
113
635
1 113
2 203
8 591
14 567
Northern Territory
45
406
1 250
1 675
7 609
11 540
19 566
Australian Capital Territory
-
686
1 014
2 216
6 245
11 998
13 886
Australia
311
1 095
1 676
2 698
5 990
13 274
25 140
Buses
New South Wales
2 155
4 682
6 406
7 076
12 614
23 096
36 991
Victoria
2 420
4 686
5 440
6 879
11 195
24 303
48 938
Queensland
2 347
3 955
4 710
5 840
12 667
24 561
36 655
South Australia
2 272
4 631
5 434
7 575
12 132
23 162
35 298
Western Australia
2 070
4 315
6 189
7 606
14 501
26 708
49 855
Tasmania
1 603
3 374
4 180
5 134
9 045
14 840
20 790
Northern Territory
1 403
2 626
3 507
4 666
8 882
20 006
35 706
Australian Capital Territory
3 097
5 341
6 112
8 583
14 972
23 500
28 853
Australia
2 155
4 207
5 413
6 763
11 775
23 904
38 644
Total
New South Wales
1 044
2 265
2 772
3 528
5 449
8 785
13 036
Victoria
1 161
2 252
2 852
3 495
5 792
9 749
16 866
Queensland
1 298
2 395
2 922
3 609
5 652
9 667
19 306
South Australia
793
1 846
2 277
2 864
4 603
8 194
15 343
Western Australia
871
2 273
2 811
3 545
5 573
8 865
19 016
Tasmania
647
1 927
2 389
2 926
4 949
10 136
17 274
Northern Territory
1 035
2 099
2 776
3 496
5 443
10 030
17 716
Australian Capital Territory
1 298
2 321
3 033
3 503
5 209
8 142
10 991
Australia
1 059
2 245
2 785
3 481
5 535
9 114
16 717

- 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
-
-
50
292
1 115
3 553
6 190
Victoria
-
-
72
280
1 585
4 728
7 256
Queensland
-
-
69
307
1 291
4 514
6 682
South Australia
-
-
4
117
917
1 927
5 544
Western Australia
-
-
2
98
1 018
2 582
6 682
Tasmania
-
-
-
-
500
3 305
10 451
Northern Territory
-
-
4
79
619
1 527
4 340
Australian Capital Territory
-
-
28
255
1 579
3 901
7 056
Australia
-
-
35
239
1 169
3 623
6 682
Rigid trucks
New South Wales
299
1 578
3 297
5 775
19 548
85 539
439 866
Victoria
44
990
2 409
4 151
17 984
85 019
300 608
Queensland
506
2 133
4 026
7 319
23 446
110 915
379 680
South Australia
281
1 703
2 687
4 379
15 136
67 500
267 282
Western Australia
-
1 244
2 513
5 552
20 032
75 580
328 390
Tasmania
-
1 024
1 960
3 527
13 693
96 687
336 739
Northern Territory
129
1 203
2 183
3 515
11 374
47 861
153 773
Australian Capital Territory
621
3 014
4 961
7 968
21 936
121 966
372 819
Australia
155
1 545
2 939
5 595
19 548
88 895
379 555
Articulated trucks
New South Wales
28 794
129 397
194 362
287 825
632 064
1 293 155
1 890 636
Victoria
31 350
169 384
261 078
424 618
949 084
1 870 047
2 564 269
Queensland
33 694
157 500
257 330
402 288
911 518
1 894 163
2 763 161
South Australia
14 986
91 670
162 045
269 328
1 050 543
2 109 965
3 063 455
Western Australia
12 145
89 691
156 479
245 551
682 603
2 508 334
4 389 828
Tasmania
53 065
167 846
260 498
357 555
580 995
1 328 441
2 218 159
Northern Territory
11 293
83 382
111 437
191 034
1 141 140
2 223 312
3 773 262
Australian Capital Territory
62 117
381 189
537 636
714 414
1 116 743
1 993 284
2 383 802
Australia
26 629
137 463
218 805
353 237
857 160
1 797 873
3 053 819

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