TECHNICAL NOTE DATA QUALITY INDICATORS
DATA QUALITY
1 When interpreting the results of a survey it is important to take into account factors that may affect the reliability of estimates. The survey methodology procedures as well as sampling and non-sampling errors should be considered. Examination of the following quality indicators will assist users in determining fitness for purpose of the Survey of Motor Vehicle Use (SMVU).
SAMPLING ERROR
2 Estimates in this publication are based on information collected for a sample of registered motor vehicles, rather than a full enumeration, and are therefore subject to sampling error. They may differ from the data that would have been produced if the information had been obtained for all registered motor vehicles. Examples of the sampling error for this publication are included in this Technical Note.
3 The sampling error associated with an estimate can be estimated from the sample results. One measure of sampling error is given by the standard error, which indicates the extent to which an estimate might have varied by chance because only a sample of vehicles was included. There are about two chances in three that a sample estimate will differ by less than one standard error from the data that would have been obtained if all vehicles had been included, and about 19 chances in 20 that the difference will be less than two standard errors.
4 Another measure of sampling variability is the relative standard error (RSE) which is obtained by expressing the standard error as a percentage of the estimate to which it refers. The RSE is a useful measure in that it provides an immediate indication of the percentage error likely to have occurred due to sampling. In this publication, estimates that have an estimated relative standard error between 10% and 25% are annotated with the symbol '^' . These estimates should be used with caution as they are subject to sampling variability too high for some purposes. Estimates with an RSE between 25% and 50% are annotated with the symbol '*', indicating that the estimate should be used with caution as it is subject to sampling variability too high for most practical purposes. Estimates with an RSE greater than 50% are annotated with the symbol '**' indicating that the sampling variability causes the estimates to be considered too unreliable for general use.
5 The RSEs relating to 2005 estimates contained in Table 4 of this publication are shown in the following table.
RSE OF MOTOR VEHICLE USE(a), State/territory of registration - Type of vehicle |
| |
| Passenger vehicles | Motor cycles | Light commercial vehicles | Rigid trucks | Articulated trucks | Non-freight carrying trucks | Buses | Total | |
| % | % | % | % | % | % | % | % | |
Total kilometres travelled | |
| |
New South Wales | 5.2 | 16.9 | 6.6 | 4.8 | 5.0 | 25.4 | 8.4 | 4.0 | |
Victoria | 4.5 | 16.1 | 8.2 | 5.9 | 4.0 | 20.7 | 12.0 | 3.7 | |
Queensland | 5.1 | 13.8 | 7.2 | 6.6 | 4.8 | 13.3 | 10.2 | 3.9 | |
South Australia | 4.4 | 21.0 | 7.3 | 8.0 | 5.3 | 34.7 | 7.9 | 3.6 | |
Western Australia | 6.1 | 18.2 | 10.2 | 8.0 | 5.9 | 24.4 | 11.5 | 5.0 | |
Tasmania | 6.2 | 16.6 | 10.7 | 9.6 | 5.3 | 18.9 | 7.9 | 5.0 | |
Northern Territory | 6.8 | 17.4 | 12.8 | 11.1 | 9.7 | 23.8 | 10.7 | 5.3 | |
Australian Capital Territory | 4.3 | 13.2 | 7.0 | 7.2 | 8.8 | 17.0 | 10.5 | 3.7 | |
Australia | 2.4 | 7.3 | 3.5 | 2.7 | 2.1 | 10.2 | 4.6 | 1.9 | |
Number of vehicles | |
| |
New South Wales | 1.4 | 3.2 | 3.4 | 1.4 | 2.7 | 18.3 | 4.1 | 1.1 | |
Victoria | 1.9 | 2.7 | 3.3 | 1.7 | 1.9 | 9.3 | 4.2 | 1.5 | |
Queensland | 1.9 | 2.4 | 2.3 | 1.6 | 2.1 | 8.0 | 3.5 | 1.4 | |
South Australia | 1.6 | 3.7 | 3.3 | 1.6 | 2.2 | 13.0 | 3.5 | 1.3 | |
Western Australia | 1.1 | 2.8 | 1.5 | 1.1 | 2.0 | 10.5 | 6.2 | 0.9 | |
Tasmania | 2.0 | 2.9 | 2.9 | 2.5 | 2.0 | 10.2 | 3.4 | 1.5 | |
Northern Territory | 1.6 | 2.7 | 3.4 | 11.3 | 3.6 | 13.8 | 8.4 | 1.2 | |
Australian Capital Territory | 2.2 | 4.9 | 2.9 | 1.7 | 4.5 | 16.4 | 4.4 | 1.9 | |
Australia | 0.8 | 1.3 | 1.4 | 0.7 | 1.0 | 5.0 | 1.9 | 0.6 | |
Average kilometres travelled | |
| |
New South Wales | 5.1 | 16.8 | 6.2 | 4.6 | 4.5 | 23.9 | 7.8 | 4.0 | |
Victoria | 4.3 | 16.1 | 8.0 | 5.8 | 4.0 | 18.6 | 12.0 | 3.6 | |
Queensland | 5.0 | 13.9 | 6.9 | 6.4 | 4.6 | 13.9 | 9.7 | 3.8 | |
South Australia | 4.2 | 20.3 | 6.9 | 8.0 | 5.4 | 36.4 | 7.5 | 3.4 | |
Western Australia | 5.9 | 18.1 | 10.2 | 8.0 | 5.9 | 23.2 | 10.7 | 4.9 | |
Tasmania | 6.1 | 16.5 | 10.3 | 9.4 | 5.2 | 21.8 | 7.7 | 4.8 | |
Northern Territory | 6.6 | 16.9 | 12.2 | 12.8 | 8.9 | 19.5 | 11.9 | 5.2 | |
Australian Capital Territory | 4.2 | 12.9 | 6.6 | 7.1 | 7.8 | 19.8 | 11.6 | 3.6 | |
Australia | 2.4 | 7.3 | 3.3 | 2.7 | 2.0 | 9.5 | 4.4 | 1.9 | |
| |
(a) These RSEs relate to the estimates in Table 4. |
6 As an example of the use of an RSE, the 2005 estimate for kilometres travelled by all passenger vehicles registered in Australia is 155,068 million kilometres (Table 4 of the publication). The rounded RSE for this estimate is 2.4%, as shown above. Therefore, the standard error for the 2005 kilometres travelled by passenger vehicles estimate is 3,722 million kilometres. There are about two chances in three that the figure obtained if all vehicles had been included, would have been in the range 151,346 million kilometres to 158,790 million kilometres. There are about 19 chances in 20 that the figure would have been in the range 147,624 million kilometres to 162,512 million kilometres.
7 It is important to note that estimates at more detailed levels than the above are subject to higher RSEs and therefore are less reliable.
8 RSEs for other key variables are shown in the following tables. The RSEs of further detailed variables can be made available on request.
RSE OF FUEL CONSUMPTION(a), Type of fuel - Type of vehicle |
| |
| | Passenger vehicles | Motor cycles | Light commercial vehicles | Rigid trucks | Articulated trucks | Non-freight carrying trucks | Buses | Total | |
| | % | % | % | % | % | % | % | % | |
Total fuel consumption | |
| |
Petrol | | | | | | | | | |
| Lead replacement | 19.0 | 34.8 | 24.1 | 44.6 | 85.7 | 47.3 | 69.1 | 15.3 | |
| Unleaded | 2.8 | 7.6 | 5.4 | 25.1 | 99.4 | 43.2 | 17.0 | 2.5 | |
| Total | 2.7 | 7.4 | 5.2 | 29.6 | 72.5 | 36.4 | 16.9 | 2.4 | |
Diesel | 18.8 | - | 8.6 | 3.4 | 2.0 | 9.9 | 6.5 | 3.1 | |
LPG/CNG/dual fuel | 20.0 | 105.5 | 23.2 | 44.0 | 86.3 | 51.6 | 28.0 | 16.0 | |
Total | 2.7 | 7.4 | 3.7 | 3.4 | 2.0 | 9.4 | 5.4 | 1.8 | |
Average rate of fuel consumption | |
| |
Petrol | | | | | | | | | |
| Lead replacement | 5.7 | 11.1 | 4.8 | 18.1 | 41.9 | 9.7 | 30.3 | 4.6 | |
| Unleaded | 1.1 | 2.4 | 1.8 | 8.9 | 100.0 | 20.5 | 2.8 | 0.9 | |
| Total | 1.1 | 2.3 | 1.7 | 14.1 | 34.2 | 22.5 | 2.8 | 0.9 | |
Diesel | 7.3 | - | 2.5 | 1.8 | 0.8 | 5.6 | 2.9 | 2.6 | |
LPG/CNG/dual fuel | 6.7 | 100.0 | 6.3 | 15.0 | 1.4 | 53.9 | 12.2 | 5.7 | |
Total | 1.2 | 2.3 | 1.4 | 1.8 | 0.8 | 6.1 | 3.0 | 0.9 | |
| |
- nil or rounded to zero (including null cells) |
(a) These RSEs relate to the estimates in Table 5. |
RSE of freight vehicles(a), State/territory of operation |
| |
| Light commercial vehicles | Rigid trucks | Articulated trucks | Total | |
| % | % | % | % | |
Total tonne-kilometres | |
| |
New South Wales | 16.2 | 8.3 | 4.8 | 4.0 | |
Victoria | 15.8 | 11.3 | 5.2 | 4.7 | |
Queensland | 14.2 | 11.0 | 5.7 | 4.7 | |
South Australia | 17.0 | 22.2 | 6.9 | 6.4 | |
Western Australia | 18.9 | 16.0 | 8.5 | 7.5 | |
Tasmania | 17.3 | 12.8 | 6.1 | 5.2 | |
Northern Territory | 16.5 | 24.0 | 15.9 | 13.9 | |
Australian Capital Territory | 19.1 | 31.5 | 19.7 | 21.8 | |
Australia | 7.7 | 5.0 | 2.7 | 2.3 | |
| |
(a) These RSEs relate to the estimates in Table 13. |
9 Summary tables in this publication contain estimates for earlier years. Because of cost and provider load constraints, the SMVU cannot be designed to provide accurate measures of the movements between reference periods. Care should be taken in drawing inferences from changes in data over these years.
10 The standard error for the movement can be calculated using:
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 2001 and 2005 SMVUs, the standard errors of the movements and the estimates from which they are derived are shown in the following table.
SE OF THE MOVEMENT OF TOTAL KILOMETRES TRAVELLED |
| |
| Level estimates | Movement estimates | |
| 2001 | RSE (2001) | 2005 | RSE (2005) | Movement | SE (Movement)(a) | |
Type of vehicle | mill. | % | mill. | % | mill. | mill. | |
| |
Passenger vehicles | 143 925 | 2.5 | 155 068 | 2.4 | 11 143 | 5 233 | |
Motor cycles | 1 448 | 8.2 | 1 429 | 7.3 | -18 | 157 | |
Light commercial vehicles | 30 728 | 2.8 | 33 764 | 3.5 | 3 036 | 1 446 | |
Rigid trucks | 6 627 | 2.8 | 7 671 | 2.7 | 1 044 | 278 | |
Articulated trucks | 5 321 | 2.3 | 6 308 | 2.1 | 987 | 179 | |
Non-freight carrying trucks | 267 | 10.1 | 286 | 10.2 | 19 | 40 | |
Buses | 1 835 | 3.4 | 1 856 | 4.6 | 21 | 106 | |
Total | 190 152 | 2.0 | 206 383 | 1.9 | 16 231 | 5 416 | |
| |
(a) Calculated on unrounded RSE estimates |
12 As indicated in the table above, the estimates of movement are subject to significant sampling error and caution should be used in analysing the movements in the estimates. For example, the estimate of movement for passenger vehicles is an increase of 11,143 million kilometres and the standard error is 5,233 million kilometres, which means there are 19 chances in 20 that the true movement estimate is between an increase of 677 million kilometres and 21,609 million kilometres.
NON-SAMPLING ERROR
13 Non-sampling error covers the range of errors that are not caused by sampling and can occur in any statistical collection whether it is based on full enumeration or a sample. For example, non-sampling error can occur because of non-response to the statistical collection, errors or omissions in reporting by providers, definition or classification difficulties, errors in transcribing and processing data and under-coverage of the frame from which the sample was selected. If these errors are systematic (not random) then the survey results will be distorted in one direction and therefore will be unrepresentative of the target population. Systematic errors result in bias.
Response and non-response
14 An important factor that affects non-sampling error is the response rate achieved. The ABS makes all reasonable efforts to maximise response rates. Where appropriate, mail reminders and telephone follow-up are used to attempt to contact non-responding vehicle owners. Responses were received from 78% of all of the selections for 2005. After removing those vehicles that had been found to be deregistered or out of scope, the live response rate for the 2005 SMVU was 77%.
15 Live response rates for each state and territory, and for each vehicle type, are shown in the following tables:
LIVE RESPONSE RATES, State/Territory |
| |
| Response rate | |
| % | |
| |
New South Wales | 79 | |
Victoria | 76 | |
Queensland | 80 | |
South Australia | 82 | |
Western Australia | 77 | |
Tasmania | 79 | |
Northern Territory | 65 | |
Australian Capital Territory | 74 | |
Australia | 77 | |
| |
LIVE RESPONSE RATES, Type of vehicle |
| |
| Response rate | |
| % | |
| |
Passenger vehicle | 73 | |
Motor cycles | 70 | |
Light commercial vehicles | 72 | |
Rigid trucks | 79 | |
Articulated trucks | 78 | |
Non-freight carrying trucks | 84 | |
Buses | 85 | |
Total | 77 | |
| |
16 A large non-response increases the potential magnitude of non-response bias, which occurs if the usage patterns of the non-responding vehicles differ from those of the responding vehicles. For the SMVU, it is assumed that the characteristics of non-responding vehicles including the proportion of deregistered, out of scope and nil use vehicles are the same as for responding vehicles.
Frame quality
17 The scope of the survey comprises all vehicles that were registered with a motor vehicle authority for road use at some stage during the 12 months ended 31 October 2005 (excluding caravans, trailers, tractors, plant and equipment, defence services vehicles, diplomatic or consular-plated vehicles and vintage or veteran registered vehicles). A population or survey frame of 13.5 million vehicles was identified on 31 March 2004 using information obtained from the state and territory motor vehicle registration authorities, as part of the annual ABS Motor Vehicle Census (MVC) (Cat No. 9309.0). From this frame a stratified sample of 15,988 vehicles was selected for reporting on vehicle use.
18 The responses received in the SMVU provide an indication of the quality of the frame. In 2005 the effects of duplicate vehicle registrations, vehicle de-registrations prior to frame extract, and out-of-scope vehicles on the frame was estimated to be approximately 0.2% of the total frame. This indicates the frame was reliable in terms of providing an accurate number of registered vehicles in Australia.
19 Vehicle classification anomalies arise when respondents indicate an alteration has been made to the vehicle body, resulting in a different vehicle type to that recorded on the frame. These changes can happen during the time-lag between finalising the frame and collection of SMVU data (between 7 and 19 months). Vehicle classification anomalies can also result from data supplied by state and territory vehicle registration authorities. An assessment of vehicle classification anomalies from 2005 data shows that while there was no bias towards specific states or territories, there were marked discrepancies for some vehicle types. For vehicles on the frame that were listed as non-freight carrying trucks, 14.6% were found to be other vehicle types, while 14.3% of vehicles listed as buses were found to be other vehicle types. This issue is not significant for other vehicle types on the frame.
Imputation
20 Imputation is the process whereby a value is generated for missing data items, based on the responses for similar vehicles which were operating for the reference period. As for previous surveys, the need for imputation of unanswered items on the returned questionnaires remained quite high. This is called partial imputation. Of the questionnaires returned for 2005, 11% needed imputation of one or more items apart from the average rate of fuel consumption.
21 Total fuel consumption can be difficult to collect, being derived from the product of total distance travelled and the average fuel consumption rate. The average fuel consumption rate can be reported directly by the respondent or derived from the respondent reporting an amount of fuel consumed and the distance travelled on that fuel (for all or part of the period). If records have not been kept during the reference period, it can be difficult for the provider to provide or reasonably estimate fuel consumption. If this is the case the fuel consumption rate is imputed from the average of 'like' responding providers.
22 Additional imputation is needed due to questionnaire non-response and is called full imputation. The tables below show the percentage contribution to the estimates from both partial and full imputation.
CONTRIBUTION TO ESTIMATES FROM IMPUTATION(a), State/territory of registration |
| |
| Percentage of total kilometres travelled | Percentage of total tonne-kilometres travelled | Percentage of fuel consumption | |
| % | % | % | |
| |
New South Wales | 22 | 28 | 40 | |
Victoria | 28 | 35 | 44 | |
Queensland | 23 | 27 | 41 | |
South Australia | 20 | 22 | 39 | |
Western Australia | 26 | 32 | 42 | |
Tasmania | 23 | 33 | 45 | |
Northern Territory | 39 | 56 | 53 | |
Australian Capital Territory | 24 | 36 | 43 | |
Australia | 24 | 30 | 42 | |
| |
(a) Includes both partial and full imputation |
CONTRIBUTION TO ESTIMATES FROM IMPUTATION(a), Type of vehicle |
| |
| Percentage of total kilometres travelled | Percentage of total tonne-kilometres travelled | Percentage of fuel consumption | |
| % | % | % | |
| |
Passenger vehicles | 24 | . . | 45 | |
Motor cycles | 28 | . . | 49 | |
Light commercial vehicles | 26 | 46 | 43 | |
Rigid trucks | 19 | 28 | 34 | |
Articulated trucks | 20 | 30 | 33 | |
Non-freight carrying vehicles | 17 | . . | 43 | |
Buses | 15 | . . | 24 | |
Total | 24 | 30 | 42 | |
| |
. . not applicable |
(a) Includes both partial and full imputation |
SURVEY PROCEDURES
23 The survey is comprised of four independent samples, with a different one used for each 3 month quarter in the overall 12 month survey period. Estimates from each of these samples are aggregated and adjusted for new motor vehicles and re-registrations of vehicles to produce an annual estimate.
Adjustments
24 The SMVU measures the use of all vehicles registered during the reference year. Because selections are taken from vehicles registered some time before the beginning of each collection period, adjustments are made to account for the change in size of the registered motor vehicle fleet since the population frame was created. For the 2005 SMVU the frame was created on 31 March 2004. These adjustments involved two categories:
- re-registrations - older vehicles that are returning to the registered vehicle fleet after a period of de-registration, and
- new motor vehicles - vehicles which have not been previously registered.
CONTRIBUTION OF ADJUSTMENTS FOR RE-REGISTRATIONS, Australia |
| |
| | Percentage of total kilometres travelled | |
| | SMVU 2001 | SMVU 2002 | SMVU 2003 | SMVU 2004 | SMVU 2005 | |
| | % | % | % | % | % | |
| |
Type of vehicle | | | | | | |
| Passenger vehicles | 3 | 3 | 2 | 1 | 3 | |
| Motor cycles | 7 | 5 | 6 | 6 | 4 | |
| Light commercial vehicles | 2 | 1 | 2 | 2 | 1 | |
| Rigid trucks | 3 | 3 | 2 | 4 | 2 | |
| Articulated trucks | 3 | 4 | 4 | 4 | 4 | |
| Non-freight carrying vehicles | 6 | 4 | 2 | 6 | 1 | |
| Buses | 1 | 4 | -1 | - | -2 | |
| Total | 3 | 2 | 2 | 2 | 3 | |
| |
- nil or rounded to zero (including null cells) |
CONTRIBUTION OF NEW VEHICLES REGISTERED AFTER 31 MARCH |
| |
| | Percentage of total kilometres travelled | |
| | 2000 | 2001 | 2002 | 2003 | 2004 | |
| | % | % | % | % | % | |
| |
Type of vehicle | | | | | | |
| Passenger vehicles | 4 | 5 | 9 | 10 | 10 | |
| Motor cycles | 5 | 8 | 17 | 15 | 15 | |
| Light commercial vehicles | 4 | 5 | 11 | 14 | 14 | |
| Rigid trucks | 3 | 4 | 10 | 10 | 13 | |
| Articulated trucks | 6 | 6 | 14 | 17 | 18 | |
| Non-freight carrying trucks | 4 | 2 | 8 | 13 | 13 | |
| Buses | 3 | 5 | 11 | 14 | 12 | |
| Total | 4 | 5 | 10 | 11 | 11 | |
| |
25 These activities occur continuously and the adjustments are made to account for the registrations that are estimated to have been added to or removed from the registered vehicle fleet between the population frame date and the end of the reference period. The adjustment process also accounts for de-registrations. This means it is possible for the re-registration factor to be negative.
Pre-advice methodology
26 The quality of survey responses is improved by employing a pre-advice methodology. This involves vehicle owners receiving early advice about their inclusion in the survey and encourages a higher degree of record keeping. In addition, the reporting of odometer readings taken at the start and end of the survey periods (approximately three months apart) provide reliable estimates of total distance travelled without a recall bias.
Nil use
27 Some providers may report nil use for the 3 month reference period in which they were selected. Nil use vehicles are live registered vehicles that reported travelling zero kilometres during that specific reference period only. Nil use vehicles are included in the survey as their reported nil use is representative of other vehicles in the population. Vehicles may have nil use due to factors such as seasonal usage, mechanical faults or economic conditions. Where a provider gives a nil use response, a follow-up phone call is used to check the veracity of the response.
Nil use, Vehicle type |
| |
| 2001 | 2002 | 2003 | 2004 | 2005 | |
Number of registered vehicles with nil use | |
| |
Passenger vehicles | 305 723 | 350 224 | 345 789 | 406 865 | 393 971 | |
Motor cycles | 69 740 | 87 690 | 76 212 | 92 953 | 73 570 | |
Light commercial vehicles | 84 806 | 70 111 | 77 282 | 93 220 | 103 683 | |
Rigid trucks | 29 059 | 26 130 | 21 725 | 24 214 | 32 944 | |
Articulated trucks | 3 740 | 3 575 | 4 187 | 3 967 | 4 105 | |
Non-freight carrying trucks | 1 675 | 1 563 | 1 270 | 1 547 | 1 518 | |
Buses | 1 569 | 1 217 | 1 679 | 1 319 | 1 303 | |
Total | 496 312 | 540 510 | 528 144 | 624 085 | 611 094 | |
Proportion of registered vehicles with nil use (%) | |
| |
Passenger vehicles | 3 | 3 | 3 | 4 | 4 | |
Motor cycles | 20 | 24 | 20 | 24 | 17 | |
Light commercial vehicles | 5 | 4 | 4 | 5 | 5 | |
Rigid trucks | 9 | 8 | 6 | 7 | 9 | |
Articulated trucks | 6 | 6 | 7 | 6 | 6 | |
Non-freight carrying trucks | 9 | 9 | 7 | 9 | 7 | |
Buses | 3 | 2 | 3 | 2 | 2 | |
Total | 4 | 4 | 4 | 5 | 4 | |
| |
STRATIFICATION CHANGES
28 An investigation into the stratification of the SMVU was conducted in 2003 to determine whether the quality of the SMVU estimates could be improved by using alternate or additional stratification variables or boundaries. The aim of the investigation was to reduce the RSEs of the key data items of total distance travelled and tonne-kilometres travelled, at the state by vehicle type level, while maintaining the existing quarterly sample size of 4,000 vehicles.
29 The investigations showed that by implementing changes to the stratification, a reduction in RSEs for these key data items would be realised. The main changes to the stratification variables were to increase the importance of, and number of, 'vehicle age' cohorts, and to remove 'area of registration'.
30 These changes were implemented for the 2004 SMVU and have resulted in the survey frame being stratified by state of registration, vehicle type, vehicle age and vehicle size.
DISTRIBUTIONS
31 The following tables provide values for total kilometres travelled and total tonne-kilometres travelled for selected percentiles. These percentiles have been calculated from all values reported in each quarter of the reference period. Percentiles provide some indication of the distribution of vehicle use across the survey population. For example, one-fifth of New South Wales passenger vehicles reported a distance travelled of 1,238 kilometres or less for the quarter they were selected in the survey. Note that the minimum value for every combination of state/territory by type of vehicle for both tables is zero.
32 Users should contact the ABS if they have any queries on the quality and reliability of estimates for particular purposes.
Selected percentiles(a), State/territory of registration - Type of vehicle |
| |
| | 20th Percentile | 40th Percentile | 50th Percentile | 60th Percentile | 80th Percentile | 95th Percentile | 99th Percentile | |
Total kilometres travelled | |
| |
Passenger vehicles | | | | | | | | |
| New South Wales | 1 238 | 2 298 | 2 887 | 3 816 | 5 582 | 8 329 | 17 569 | |
| Victoria | 1 192 | 2 358 | 2 831 | 3 290 | 5 050 | 8 287 | 13 283 | |
| Queensland | 1 510 | 2 650 | 3 205 | 3 660 | 5 689 | 8 948 | 13 007 | |
| South Australia | 1 290 | 2 135 | 2 614 | 2 991 | 4 655 | 7 325 | 10 339 | |
| Western Australia | 1 006 | 2 273 | 2 859 | 3 490 | 5 133 | 9 739 | 14 695 | |
| Tasmania | 1 328 | 2 150 | 2 698 | 3 428 | 5 156 | 10 344 | 15 781 | |
| Northern Territory | 1 207 | 2 072 | 2 559 | 2 957 | 4 230 | 8 163 | 20 550 | |
| Australian Capital Territory | 1 115 | 2 727 | 3 228 | 3 985 | 5 543 | 8 094 | 9 947 | |
| Australia | 1 246 | 2 336 | 2 867 | 3 512 | 5 300 | 8 542 | 13 493 | |
Motorcycles | | | | | | | | |
| New South Wales | 31 | 243 | 358 | 497 | 1 231 | 2 936 | 4 395 | |
| Victoria | 33 | 175 | 427 | 664 | 1 569 | 3 365 | 5 571 | |
| Queensland | 82 | 423 | 546 | 681 | 1 352 | 3 820 | 4 966 | |
| South Australia | - | 162 | 296 | 527 | 1 126 | 2 858 | 7 187 | |
| Western Australia | - | 32 | 138 | 371 | 1 479 | 3 218 | 4 107 | |
| Tasmania | - | 76 | 274 | 472 | 1 320 | 3 168 | 3 844 | |
| Northern Territory | 197 | 483 | 593 | 784 | 1 872 | 4 994 | 9 805 | |
| Australian Capital Territory | 119 | 549 | 825 | 1 256 | 2 247 | 4 213 | 4 838 | |
| Australia | 19 | 205 | 415 | 576 | 1 483 | 3 365 | 5 571 | |
Light commercial vehicles | | | | | | | | |
| New South Wales | 1 509 | 2 931 | 3 579 | 4 551 | 6 879 | 11 980 | 16 495 | |
| Victoria | 1 134 | 2 321 | 3 332 | 4 092 | 6 430 | 11 854 | 14 121 | |
| Queensland | 951 | 2 731 | 3 426 | 4 860 | 7 299 | 11 538 | 16 737 | |
| South Australia | 1 562 | 2 699 | 3 649 | 4 523 | 7 005 | 11 648 | 15 498 | |
| Western Australia | 534 | 2 320 | 2 736 | 3 650 | 5 916 | 11 612 | 19 371 | |
| Tasmania | 793 | 1 708 | 2 425 | 3 396 | 6 822 | 13 355 | 18 739 | |
| Northern Territory | 1 023 | 2 381 | 3 368 | 3 809 | 6 233 | 12 294 | 26 530 | |
| Australian Capital Territory | 1 617 | 2 761 | 3 257 | 3 870 | 6 539 | 9 677 | 11 251 | |
| Australia | 1 152 | 2 572 | 3 368 | 4 227 | 6 516 | 11 806 | 17 058 | |
Rigid trucks | | | | | | | | |
| New South Wales | 612 | 2 346 | 3 551 | 4 873 | 9 105 | 19 050 | 28 689 | |
| Victoria | 195 | 1 444 | 2 661 | 4 352 | 8 789 | 16 420 | 34 592 | |
| Queensland | 640 | 2 841 | 4 401 | 6 066 | 10 346 | 22 214 | 37 890 | |
| South Australia | 161 | 1 203 | 2 166 | 3 468 | 6 481 | 12 390 | 28 810 | |
| Western Australia | 94 | 800 | 1 616 | 2 245 | 6 784 | 13 545 | 25 807 | |
| Tasmania | 391 | 1 731 | 2 752 | 3 836 | 6 531 | 18 435 | 32 227 | |
| Northern Territory | 391 | 1 727 | 2 809 | 4 078 | 7 199 | 14 198 | 28 689 | |
| Australian Capital Territory | 1 226 | 3 323 | 4 906 | 6 014 | 10 470 | 20 927 | 34 941 | |
| Australia | 356 | 1 835 | 3 030 | 4 553 | 8 712 | 18 208 | 31 370 | |
Articulated trucks | | | | | | | | |
| New South Wales | 3 507 | 11 674 | 16 408 | 23 669 | 40 057 | 58 123 | 87 875 | |
| Victoria | 3 354 | 10 279 | 17 641 | 24 808 | 44 181 | 62 777 | 87 690 | |
| Queensland | 2 728 | 13 518 | 20 016 | 28 476 | 47 508 | 65 758 | 95 945 | |
| South Australia | 2 955 | 10 026 | 16 569 | 23 060 | 45 884 | 67 619 | 103 471 | |
| Western Australia | 1 358 | 8 268 | 11 401 | 17 023 | 32 632 | 51 828 | 86 662 | |
| Tasmania | 4 302 | 15 723 | 22 425 | 26 855 | 34 635 | 55 430 | 86 215 | |
| Northern Territory | 1 386 | 7 703 | 13 314 | 16 701 | 33 411 | 59 796 | 71 134 | |
| Australian Capital Territory | 4 126 | 17 485 | 29 857 | 36 927 | 49 248 | 69 215 | 93 773 | |
| Australia | 2 893 | 10 565 | 16 790 | 23 888 | 42 290 | 62 238 | 92 917 | |
Non-freight carrying trucks | | | | | | | | |
| New South Wales | 486 | 1 209 | 1 543 | 2 660 | 5 136 | 20 057 | 23 341 | |
| Victoria | 368 | 438 | 1 174 | 4 594 | 9 612 | 20 524 | 25 009 | |
| Queensland | 301 | 1 755 | 2 430 | 3 523 | 6 291 | 12 579 | 18 601 | |
| South Australia | 28 | 285 | 355 | 461 | 839 | 9 175 | 21 455 | |
| Western Australia | 8 | 241 | 316 | 508 | 4 594 | 9 191 | 13 852 | |
| Tasmania | 113 | 113 | 142 | 635 | 2 875 | 6 685 | 12 431 | |
| Northern Territory | 154 | 1 015 | 2 387 | 3 007 | 8 126 | 10 879 | 12 465 | |
| Australian Capital Territory | 1 326 | 1 905 | 3 335 | 5 170 | 9 253 | 23 110 | 29 349 | |
| Australia | 226 | 508 | 1 061 | 2 122 | 6 291 | 12 990 | 23 341 | |
Buses | | | | | | | | |
| New South Wales | 2 325 | 4 384 | 5 439 | 7 878 | 11 793 | 18 949 | 44 377 | |
| Victoria | 2 508 | 4 814 | 5 692 | 6 547 | 11 550 | 20 327 | 39 006 | |
| Queensland | 1 711 | 3 775 | 4 757 | 5 583 | 11 243 | 19 970 | 53 166 | |
| South Australia | 2 677 | 4 429 | 6 038 | 7 937 | 13 135 | 21 546 | 32 759 | |
| Western Australia | 1 344 | 3 391 | 4 487 | 5 604 | 12 740 | 23 335 | 27 520 | |
| Tasmania | 1 321 | 2 761 | 3 979 | 5 445 | 8 684 | 15 450 | 20 807 | |
| Northern Territory | 1 247 | 2 632 | 3 222 | 4 430 | 10 252 | 21 969 | 35 586 | |
| Australian Capital Territory | 778 | 3 066 | 3 867 | 7 820 | 15 021 | 23 221 | 43 248 | |
| Australia | 2 020 | 4 051 | 5 172 | 6 087 | 11 715 | 20 237 | 39 884 | |
Total | | | | | | | | |
| New South Wales | 1 191 | 2 297 | 2 931 | 3 841 | 5 873 | 9 131 | 19 900 | |
| Victoria | 1 058 | 2 273 | 2 762 | 3 351 | 5 214 | 9 050 | 16 708 | |
| Queensland | 1 234 | 2 526 | 3 185 | 3 761 | 5 937 | 10 465 | 14 516 | |
| South Australia | 1 145 | 2 054 | 2 670 | 3 094 | 4 911 | 8 170 | 12 591 | |
| Western Australia | 784 | 2 123 | 2 788 | 3 397 | 5 156 | 10 462 | 17 058 | |
| Tasmania | 1 005 | 2 012 | 2 588 | 3 400 | 5 595 | 10 521 | 18 398 | |
| Northern Territory | 1 075 | 2 070 | 2 631 | 3 278 | 5 078 | 9 952 | 22 140 | |
| Australian Capital Territory | 1 029 | 2 660 | 3 181 | 3 827 | 5 578 | 8 199 | 10 358 | |
| Australia | 1 134 | 2 273 | 2 857 | 3 569 | 5 543 | 9 370 | 17 058 | |
| |
- nil or rounded to zero (including null cells) |
(a) Based on distance travelled in a quarter |
Selected percentiles(a), State/territory of registration - Type of freight vehicle |
| |
| | 20th Percentile | 40th Percentile | 50th Percentile | 60th Percentile | 80th Percentile | 95th Percentile | 99th Percentile | |
Total tonne-kilometres travelled | |
| |
Light commercial vehicles | | | | | | | | |
| New South Wales | - | 6 | 148 | 310 | 1 508 | 4 932 | 11 293 | |
| Victoria | - | - | 89 | 200 | 1 235 | 4 549 | 7 910 | |
| Queensland | - | - | 18 | 308 | 1 556 | 5 296 | 6 796 | |
| South Australia | - | 41 | 137 | 427 | 1 751 | 4 947 | 9 203 | |
| Western Australia | - | - | - | 161 | 1 110 | 3 848 | 4 944 | |
| Tasmania | - | - | - | 72 | 1 067 | 3 264 | 9 427 | |
| Northern Territory | - | - | 55 | 175 | 707 | 2 689 | 4 839 | |
| Australian Capital Territory | - | 10 | 119 | 279 | 1 143 | 3 257 | 6 838 | |
| Australia | - | - | 78 | 288 | 1 385 | 4 605 | 7 948 | |
Rigid trucks | | | | | | | | |
| New South Wales | 269 | 1 570 | 3 412 | 5 872 | 21 394 | 79 769 | 340 196 | |
| Victoria | 74 | 1 282 | 3 142 | 7 219 | 22 736 | 120 476 | 425 096 | |
| Queensland | 258 | 2 873 | 5 111 | 8 987 | 26 145 | 104 396 | 340 685 | |
| South Australia | 118 | 1 156 | 3 133 | 6 192 | 18 207 | 53 402 | 234 787 | |
| Western Australia | - | 977 | 1 759 | 3 465 | 12 910 | 44 872 | 131 995 | |
| Tasmania | 57 | 1 812 | 4 009 | 6 423 | 16 243 | 63 505 | 314 650 | |
| Northern Territory | 541 | 1 857 | 3 674 | 6 541 | 13 588 | 35 452 | 241 952 | |
| Australian Capital Territory | 853 | 3 575 | 5 535 | 9 964 | 25 295 | 105 079 | 381 936 | |
| Australia | 122 | 1 672 | 3 456 | 6 425 | 20 431 | 82 240 | 338 194 | |
Articulated trucks | | | | | | | | |
| New South Wales | 36 573 | 127 315 | 184 589 | 332 315 | 668 020 | 1 590 195 | 2 612 761 | |
| Victoria | 30 574 | 125 963 | 201 473 | 342 793 | 872 143 | 1 813 425 | 2 296 426 | |
| Queensland | 21 944 | 149 904 | 248 325 | 400 127 | 898 379 | 1 846 315 | 2 641 077 | |
| South Australia | 24 829 | 108 302 | 214 764 | 353 401 | 971 152 | 2 061 924 | 3 145 854 | |
| Western Australia | 11 152 | 96 745 | 182 342 | 241 976 | 655 260 | 1 982 400 | 3 466 489 | |
| Tasmania | 39 065 | 196 247 | 273 214 | 347 090 | 538 390 | 1 077 688 | 1 774 223 | |
| Northern Territory | 9 112 | 103 329 | 165 025 | 300 343 | 915 902 | 3 084 422 | 3 823 713 | |
| Australian Capital Territory | 34 603 | 218 558 | 406 820 | 518 612 | 872 442 | 1 727 637 | 2 113 696 | |
| Australia | 24 886 | 127 247 | 205 170 | 339 158 | 814 140 | 1 752 643 | 2 612 761 | |
| |
- nil or rounded to zero (including null cells) |
(a) Based on distance travelled in a quarter |