9208.0 - Survey of Motor Vehicle Use, Australia, 12 months ended 31 October 2014  
Previous ISSUE Released at 11:30 AM (CANBERRA TIME) 15/10/2015   
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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 estimates that would have been produced if the information had been obtained for all registered motor vehicles. Examples of the sampling error for this release are included in this Technical Note.

3 The sampling error associated with an estimate can be derived 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 the data cubes for this release, estimates are presented in the tables side by side with their RSEs.

5 The RSEs relating to 2014 estimates contained in Table 4 of the data cubes of this release 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
5.40
21.42
6.49
6.18
4.11
40.42
6.65
4.07
Victoria
6.75
21.28
4.94
6.40
3.66
27.11
10.95
5.15
Queensland
6.82
18.46
5.63
5.41
3.70
28.89
8.66
4.67
South Australia
5.77
16.34
8.08
6.08
3.86
16.24
13.32
4.47
Western Australia
6.53
18.02
8.00
5.39
3.45
22.35
10.72
4.74
Tasmania
5.53
18.52
7.12
5.14
6.05
23.58
8.00
4.17
Northern Territory
4.91
15.03
6.16
12.76
16.92
28.41
9.09
3.49
Australian Capital Territory
6.57
28.05
5.82
6.71
14.36
25.25
8.88
5.63
Australia
3.15
9.12
2.73
2.96
1.62
14.72
4.23
2.33

NUMBER OF VEHICLES

New South Wales
1.50
3.40
1.66
2.06
2.29
24.43
3.54
1.22
Victoria
1.93
2.13
1.76
2.30
2.12
12.30
4.55
1.57
Queensland
1.50
2.08
2.12
3.46
2.33
12.66
3.10
1.12
South Australia
2.81
4.50
2.88
2.49
2.32
6.52
8.60
2.24
Western Australia
2.32
2.19
2.39
2.07
3.14
10.02
4.66
1.65
Tasmania
1.75
3.62
2.92
2.41
3.97
4.99
3.16
1.24
Northern Territory
1.89
5.48
3.28
8.49
7.58
11.33
3.37
1.30
Australian Capital Territory
2.87
7.61
2.04
3.46
10.59
17.69
6.88
2.44
Australia
0.84
1.16
0.83
1.18
1.15
6.23
1.73
0.67

AVERAGE KILOMETRES TRAVELLED

New South Wales
5.30
21.51
6.03
6.42
3.71
21.17
6.57
3.99
Victoria
6.53
21.11
4.93
5.73
3.83
17.97
10.19
4.97
Queensland
6.70
18.48
5.66
5.58
3.80
26.30
8.22
4.65
South Australia
5.07
15.69
6.80
5.53
3.70
16.12
12.14
3.95
Western Australia
6.02
17.63
7.56
4.89
3.20
19.06
10.77
4.51
Tasmania
5.20
18.14
6.80
4.86
6.43
21.77
7.72
4.00
Northern Territory
4.42
14.21
6.07
7.76
17.28
27.55
8.22
3.20
Australian Capital Territory
5.73
27.76
5.74
6.15
9.32
20.32
8.45
5.01
Australia
3.14
9.07
2.69
2.83
1.77
10.83
4.00
2.35

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


6 As an example of the use of an RSE, the 2014 estimate for total kilometres travelled by passenger vehicles registered in Australia is 176,805 million kilometres (Table 4 of the data cubes). The rounded RSE for this estimate is 3.15%, as shown above. Therefore, the standard error for the estimated total kilometres travelled by passenger vehicles is 5,569 million kilometres (3.15% of 176,805 million kilometres). Standard errors can be used to construct confidence intervals around the estimates. There are about two chances in three that the figure obtained if all vehicles had been included, would have been in the range 171,236 million kilometres to 182,374 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 165,667 million kilometres to 187,943 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.

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
3.49
9.17
7.48
46.22
84.30
45.26
16.60
3.19
Diesel
11.91
-
4.66
3.12
1.65
12.86
4.55
2.68
Other(b)
29.88
-
17.67
37.99
49.54
-
15.42
21.24
Total
3.63
9.17
3.03
3.11
1.65
12.72
3.93
2.22

AVERAGE RATE OF FUEL CONSUMPTION

Petrol
1.08
3.29
2.08
14.94
4.49
32.13
3.42
0.98
Diesel
2.87
-
1.30
1.67
0.71
8.50
2.37
1.95
Other(b)
7.33
-
4.08
21.27
18.21
-
11.69
5.23
Total
1.12
3.29
1.22
1.67
0.70
8.25
2.60
0.74

- nil or rounded to zero (including null cells)
(a) These RSEs relate to the estimates in Table 5 and Table 6.
(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
20.17
10.60
4.01
3.82
Victoria
13.51
11.10
4.55
4.15
Queensland
15.06
10.20
4.41
4.05
South Australia
15.19
13.17
8.04
6.96
Western Australia
16.63
14.68
5.37
4.90
Tasmania
22.44
12.41
13.66
9.29
Northern Territory
15.89
19.98
23.96
22.33
Australian Capital Territory
19.82
15.68
30.97
12.45
Australia
8.12
5.08
2.10
1.84

(a) These RSEs relate to the estimates in Table 23.


9 Tables 1, 2 and 3 for this release 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 2010 and 2014 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 - 2010 and 2014(a)

LEVEL ESTIMATES
MOVEMENT ESTIMATES
2010
RSE (2010)
2014
RSE (2014)
Movement
SE (Movement)(b)
mill.
%
mill.
%
mill.
mill.

Type of vehicle
Passenger vehicles
163 360
3
176 805
3
13 445
7 066
Motor cycles
2 394
8
2 162
9
-232
281
Light commercial vehicles
42 715
3
45 540
3
2 825
1 825
Rigid trucks
9 011
3
9 394
3
383
408
Articulated trucks
6 917
2
7 820
2
903
179
Non-freight trucks
210
10
346
15
135
55
Buses
2 024
4
2 304
4
279
124
Total
226 632
2
244 369
2
17 738
7 383

(a) Data are for 12 months ended 31 October.
(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 13,445 million kilometres and the standard error is 7,066 million kilometres, which means there are 19 chances in 20 that the true movement is between a decrease of 687 million kilometres and an increase of 27,577 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. Usable responses were received from 75% of all of the selections for 2014, comprised of 71% from registered vehicles and 4% from unregistered vehicles, out of scope and duplicates.

RESPONSE AND NON-RESPONSE BY CATEGORY

Percentage of selections 2014
%

Response received
Registered vehicle
71
Unregistered vehicle(a)
4
Non-response
Untraceable - mailing address unknown
5
Other(b)
20
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 2014 SMVU was 73%.

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
76
Victoria
73
Queensland
73
South Australia
77
Western Australia
75
Tasmania
77
Northern Territory
64
Australian Capital Territory
72
Australia
73


RESPONSE RATES, Type of vehicle

Response rate
%

Type of vehicle
Passenger vehicle
72
Motor cycles
72
Light commercial vehicles
73
Rigid trucks
71
Articulated trucks
74
Non-freight carrying trucks
84
Buses
80
Total
73



17 For the SMVU, it is assumed that the characteristics of non-responding vehicles are the same as for like responding vehicles. 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 example, the lowest response rate achieved by vehicle type was for rigid trucks (71%). This could result in the estimates for rigid trucks being of a lower quality than other vehicle types.


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 31 October 2014 (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 17.2 million vehicles was identified on 31 January 2013 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 2014, 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 0.3% 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 9 and 21 months). Vehicle classification anomalies can also result from data supplied by state and territory vehicle registration authorities. An assessment of vehicle classification anomalies from 2014 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 14.2% 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
20
38
52
Victoria
25
52
59
Queensland
26
43
54
South Australia
18
40
44
Western Australia
26
40
57
Tasmania
26
38
57
Northern Territory
36
48
64
Australian Capital Territory
23
48
48
Australia
23
43
55

(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
23
. .
58
Motor cycles
26
. .
58
Light commercial vehicles
25
63
55
Rigid trucks
28
38
55
Articulated trucks
24
44
43
Non-freight carrying vehicles
17
. .
57
Buses
16
. .
28
Total
23
43
55

. . 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.


Coherent Estimates

24 The 2014 SMVU was run with an additional road freight component, published in Road Freight Movements, Australia (cat. no. 9223.0). The SMVU 2014 and the road freight component were designed together to provide coherent estimates at the state of registration by vehicle type level for total distance travelled, tonne-kilometres and total tonnes.


Adjustments

25 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 2014 SMVU, the frame was created on 31 January 2013. 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(a), Australia - 2006, 2007, 2010, 2012 and 2014(b)

PERCENTAGE OF TOTAL KILOMETRES TRAVELLED
SMVU 2006
SMVU 2007
SMVU 2010
SMVU 2012
SMVU 2014
%
%
%
%
%

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

- nil or rounded to zero (including null cells)
(a) Estimates for 2014 were produced using a different method than in 2006, 2007, 2010, 2012. The contribution of adjustments for re-registrations for 2014 is not comparable with other years.
(b) Data for 2006, 2007, 2010, 2014 are for 12 months ended 31 October. Data for 2012 are for 12 months ended 30 June.


26 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 - 2006, 2007, 2010, 2012 and 2014(a)

PERCENTAGE OF TOTAL KILOMETRES TRAVELLED
2006
2007
2010
2012
2014

Type of vehicle
Passenger vehicles
11
10
9
7
10
Motor cycles
16
15
11
9
11
Light commercial vehicles
14
14
10
8
11
Rigid trucks
12
12
8
6
6
Articulated trucks
20
17
11
9
16
Non-freight carrying trucks
14
9
8
13
13
Buses
15
16
5
5
3
Total
12
11
9
7
10

(a) Data for 2006, 2007, 2010, 2014 are for 12 months ended 31 October. Data for 2012 are for 12 months ended 30 June.



Pre-advice methodology

27 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

28 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 - 2006, 2007, 2010, 2012 and 2014(a)

2006
2007
2010
2012
2014

NUMBER OF REGISTERED VEHICLES WITH NIL USE

Passenger vehicles
409 471
456 884
561 613
479 179
476 348
Motor cycles
100 725
125 547
148 217
182 308
196 887
Light commercial vehicles
115 841
114 241
122 227
71 292
103 727
Rigid trucks
36 263
36 660
34 647
36 549
38 541
Articulated trucks
4 340
3 680
5 165
6 162
6 652
Non-freight carrying trucks
1 448
1 418
2 424
3 157
2 566
Buses
1 343
1 510
2 831
1 809
2 006
Total
669 430
739 940
877 123
780 455
826 725

PROPORTION OF REGISTERED VEHICLES WITH NIL USE (%)

Passenger vehicles
4
4
5
4
4
Motor cycles
22
25
23
26
25
Light commercial vehicles
6
5
5
3
4
Rigid trucks
9
9
8
8
8
Articulated trucks
6
5
6
7
7
Non-freight carrying trucks
7
7
11
15
12
Buses
2
2
4
2
3
Total
5
5
6
5
5

(a) Data for 2006, 2007, 2010, 2014 are for 12 months ended 31 October. Data for 2012 are for 12 months ended 30 June.



DISTRIBUTIONS

29 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 1,623 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.

30 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
1 623
2 990
3 609
4 263
6 535
11 042
20 986
Victoria
1 623
2 913
3 792
4 744
7 366
11 694
18 335
Queensland
1 364
2 535
3 383
4 125
6 359
10 035
23 489
South Australia
1 517
2 662
3 320
3 902
5 593
11 175
16 596
Western Australia
1 079
2 450
3 298
3 934
5 789
10 068
18 740
Tasmania
1 452
2 546
3 278
3 754
5 894
9 510
14 336
Northern Territory
1 452
2 610
3 326
3 773
6 187
10 925
18 703
Australian Capital Territory
1 962
3 445
4 125
4 886
6 332
9 088
13 907
Australia
1 533
2 809
3 458
4 165
6 535
11 244
18 740
Motorcycles
New South Wales
-
115
269
534
1 532
3 281
7 490
Victoria
-
39
287
627
1 183
3 979
5 430
Queensland
-
127
316
490
2 093
4 681
6 839
South Australia
-
153
364
552
1 084
2 513
3 286
Western Australia
-
287
425
593
1 046
3 745
8 471
Tasmania
-
81
183
426
1 349
3 607
7 943
Northern Territory
-
297
585
857
1 876
3 552
4 842
Australian Capital Territory
-
389
467
1 046
1 883
5 617
7 185
Australia
-
127
316
554
1 421
3 979
6 839
Light commercial vehicles
New South Wales
2 294
3 604
4 779
5 440
7 621
17 011
23 026
Victoria
1 180
3 482
4 491
5 451
8 492
13 164
16 501
Queensland
1 953
3 468
4 408
5 345
8 161
14 516
18 354
South Australia
1 326
2 985
3 807
4 607
7 065
12 387
19 091
Western Australia
1 341
3 570
4 358
5 464
7 935
14 516
26 568
Tasmania
793
2 561
3 277
4 256
6 253
11 129
18 851
Northern Territory
1 501
3 124
4 057
5 306
8 354
11 806
16 088
Australian Capital Territory
2 324
3 939
4 572
5 747
9 359
15 096
23 001
Australia
1 807
3 468
4 409
5 345
8 057
14 516
20 580
Rigid trucks
New South Wales
1 214
3 008
4 244
5 336
10 082
20 747
43 121
Victoria
245
2 721
4 445
6 746
12 443
23 683
42 817
Queensland
847
3 008
4 075
5 773
11 830
23 455
39 300
South Australia
319
1 600
2 950
3 850
9 281
19 312
32 385
Western Australia
180
1 166
2 047
3 747
8 918
16 481
25 506
Tasmania
152
1 573
3 056
4 383
8 444
18 725
36 289
Northern Territory
586
1 945
3 034
4 909
7 461
14 717
36 827
Australian Capital Territory
1 249
3 559
5 102
6 862
11 178
22 271
41 265
Australia
586
2 644
3 862
5 430
10 764
21 910
42 175
Articulated trucks
New South Wales
2 476
10 681
19 179
25 387
46 709
77 801
98 956
Victoria
2 190
10 613
18 348
27 075
54 361
80 088
98 361
Queensland
3 512
15 480
21 522
31 307
51 576
81 494
114 577
South Australia
1 019
9 180
15 657
23 256
48 624
76 060
118 771
Western Australia
502
8 670
12 797
19 158
41 548
81 323
121 811
Tasmania
5 190
16 640
20 995
25 564
40 506
68 094
98 562
Northern Territory
4 548
10 315
13 089
17 066
40 694
61 818
125 347
Australian Capital Territory
8 452
19 614
25 340
40 820
49 950
60 863
64 779
Australia
2 119
10 919
17 465
25 373
49 172
80 201
110 674
Non-freight carrying trucks
New South Wales
928
3 269
7 505
7 948
8 805
16 313
26 798
Victoria
137
2 610
3 982
4 308
17 372
22 186
32 607
Queensland
203
3 139
4 939
7 150
8 118
27 924
39 924
South Australia
68
464
645
1 123
3 046
13 259
19 427
Western Australia
151
669
981
1 522
4 275
9 783
13 696
Tasmania
-
329
421
582
2 600
14 907
18 454
Northern Territory
74
593
1 339
2 014
4 481
21 550
36 260
Australian Capital Territory
1 882
5 925
6 625
7 997
8 939
10 570
10 570
Australia
169
1 271
2 427
4 145
8 805
18 586
32 607
Buses
New South Wales
1 774
5 885
6 980
8 411
14 112
22 210
31 110
Victoria
2 120
4 888
6 323
9 066
16 114
30 874
46 403
Queensland
2 058
4 938
6 938
8 813
19 172
31 225
49 668
South Australia
2 059
5 369
8 426
10 788
18 103
26 495
32 852
Western Australia
1 237
4 470
6 289
8 741
15 281
32 951
46 607
Tasmania
1 625
4 582
6 201
7 540
14 757
24 599
43 069
Northern Territory
1 566
3 668
4 862
6 112
11 737
23 314
49 855
Australian Capital Territory
1 536
5 287
10 187
15 305
24 619
33 523
35 036
Australia
1 879
5 165
6 594
8 708
15 974
28 894
46 403
Total
New South Wales
1 491
2 951
3 604
4 455
6 740
11 715
21 551
Victoria
1 344
2 858
3 722
4 744
7 711
12 480
20 756
Queensland
1 144
2 560
3 429
4 266
6 647
12 610
23 824
South Australia
1 307
2 574
3 242
3 897
5 864
11 244
17 419
Western Australia
918
2 376
3 244
3 943
6 346
11 867
21 254
Tasmania
1 073
2 426
3 075
3 754
5 950
10 035
19 543
Northern Territory
1 253
2 572
3 368
4 085
6 927
12 129
19 184
Australian Capital Territory
1 837
3 275
4 031
4 856
6 419
9 557
18 740
Australia
1 288
2 702
3 458
4 238
6 761
12 097
21 551

- nil or rounded to zero (including null cells)
(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
-
-
54
267
1 268
4 006
21 254
Victoria
-
-
87
293
1 538
5 538
12 408
Queensland
-
-
102
379
1 323
3 596
7 242
South Australia
-
-
18
291
1 403
3 921
5 311
Western Australia
-
-
-
108
812
4 224
8 057
Tasmania
-
-
-
31
535
2 671
11 858
Northern Territory
-
-
32
200
973
2 094
4 022
Australian Capital Territory
-
2
135
510
1 602
8 880
12 637
Australia
-
-
51
272
1 320
3 986
10 308
Rigid trucks
New South Wales
609
2 644
4 235
6 839
18 226
88 954
319 187
Victoria
54
2 178
4 092
7 466
21 129
109 841
412 720
Queensland
473
2 235
4 605
7 765
24 275
97 115
269 217
South Australia
214
1 459
2 597
4 839
16 844
87 207
314 733
Western Australia
-
1 394
2 614
4 007
16 489
78 014
314 107
Tasmania
-
1 683
3 143
6 217
18 688
80 587
550 818
Northern Territory
306
1 699
3 733
6 650
19 956
43 075
114 756
Australian Capital Territory
509
3 178
5 740
8 772
22 885
146 730
334 104
Australia
244
2 151
3 894
6 650
20 521
95 519
319 187
Articulated trucks
New South Wales
17 555
106 624
190 004
332 475
819 872
1 828 063
3 081 370
Victoria
20 270
122 474
203 063
336 490
932 879
2 380 034
3 203 284
Queensland
37 290
212 418
285 537
429 295
1 046 431
2 055 962
2 908 224
South Australia
9 833
109 071
196 235
342 107
1 060 652
2 340 309
4 390 650
Western Australia
2 869
95 642
172 408
290 443
895 293
2 638 116
5 947 309
Tasmania
56 484
217 296
278 631
356 373
639 375
1 484 549
2 019 454
Northern Territory
24 695
105 520
181 286
465 306
1 181 377
2 130 182
6 217 211
Australian Capital Territory
71 402
206 720
418 400
541 800
800 469
1 216 272
1 322 251
Australia
17 555
127 970
222 873
357 229
943 610
2 207 144
3 593 641

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