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:
where
is an estimate of total of the variable of interest, obtained from the 1st time point
is an estimate of total of the same variable of interest, obtained from the 2nd time point
is an estimate of movement of the total of the variable of interest from the 1st time point to the 2nd time
point, ie
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%.
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 |
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