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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 2006 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	4.8	20.4	5.1	5.6	4.9	31.8	7.5	3.7
Victoria	4.8	19.6	6.4	6.2	3.4	25.2	8.8	3.9
Queensland	5.4	23.4	5.3	5.4	3.6	18.5	8.8	4.0
South Australia	4.8	16.4	7.4	6.3	6.1	27.8	8.2	3.9
Western Australia	6.3	16.0	5.9	7.3	6.8	25.9	13.1	4.7
Tasmania	5.6	20.8	11.1	7.2	5.5	28.0	8.9	4.7
Northern Territory	5.4	14.8	7.8	6.4	10.1	21.8	12.9	3.9
Australian Capital Territory	5.5	15.3	6.6	6.3	13.9	18.6	10.8	4.7
Australia	2.3	9.7	2.4	2.8	1.9	12.6	3.9	1.8
Number of vehicles
New South Wales	1.9	5.1	2.1	1.4	2.9	15.1	4.0	1.5
Victoria	1.6	3.5	2.0	3.8	1.8	12.9	4.7	1.3
Queensland	1.8	5.4	2.3	1.7	1.9	10.1	3.2	1.4
South Australia	1.5	3.3	2.1	1.6	3.4	12.7	4.5	1.2
Western Australia	2.5	2.3	3.0	1.7	2.4	10.6	7.0	2.0
Tasmania	1.9	4.8	1.7	2.4	3.2	15.1	4.4	1.4
Northern Territory	2.6	4.9	3.4	6.7	3.5	13.5	5.1	1.7
Australian Capital Territory	3.1	3.2	3.9	2.5	10.8	10.6	4.8	2.7
Australia	0.8	2.1	1.0	1.1	1.0	5.5	1.9	0.6
Average kilometres travelled
New South Wales	4.5	19.4	4.9	5.4	4.2	20.6	6.9	3.5
Victoria	4.7	19.6	6.1	6.9	3.3	19.7	8.5	3.8
Queensland	5.2	23.6	5.1	5.3	3.5	14.4	8.7	3.9
South Australia	4.6	15.9	7.1	6.2	6.1	23.9	7.7	3.7
Western Australia	5.6	15.9	5.9	7.2	6.6	23.9	12.8	4.2
Tasmania	5.5	20.1	11.1	7.2	5.5	22.5	8.0	4.6
Northern Territory	5.2	14.3	6.9	6.5	8.2	18.6	11.9	3.8
Australian Capital Territory	5.0	15.2	6.2	6.1	7.8	16.4	10.2	4.3
Australia	2.3	9.3	2.4	2.8	1.9	9.6	3.7	1.8
(a) These RSEs relate to the estimates in Table 4.

6 As an example of the use of an RSE, the 2006 estimate for total kilometres travelled by all passenger vehicles registered in Australia is 156,184 million kilometres (Table 4 of the publication). The rounded RSE for this estimate is 2.3%, as shown above. Therefore, the standard error for the 2006 kilometres travelled by passenger vehicles estimate is 3,592 million kilometres (2.3% of 156,184 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 152,592 million kilometres to 159,776 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 149,000 million kilometres to 163,368 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	10.7	4.4	21.0	71.6	49.0	16.6	2.3
Diesel	19.4	-	5.6	3.3	2.0	14.1	4.8	2.3
LPG/CNG/dual fuel	17.4	68.7	15.2	37.5	99.6	54.8	32.1	12.1
Total	2.5	10.7	2.5	3.3	2.0	12.6	4.3	1.6
Average rate of fuel consumption
Petrol	0.9	3.6	1.1	6.5	4.9	20.9	5.0	0.8
Diesel	4.1	-	1.4	1.7	0.6	7.7	2.8	2.0
LPG/CNG/dual fuel	5.4	100.0	6.0	9.7	100.0	23.4	20.0	4.1
Total	0.9	3.6	0.9	1.7	0.6	6.9	2.8	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	13.5	8.3	4.2	3.5
Victoria	14.1	10.8	4.3	4.1
Queensland	10.1	12.3	7.5	6.0
South Australia	22.8	11.5	7.5	6.4
Western Australia	13.3	11.2	13.0	10.3
Tasmania	17.4	9.9	8.3	6.0
Northern Territory	16.0	12.6	24.3	22.0
Australian Capital Territory	27.1	15.5	17.2	11.2
Australia	5.9	5.0	3.0	2.5
(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 2002 and 2006 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
	2002	RSE (2002)	2006	RSE (2006)	Movement	SE (Movement)(a)
Type of vehicle	mill.	%	mill.	%	mill.	mill.
Passenger vehicles	144 676	2.5	156 184	2.3	11 508	5 136
Motor cycles	1 681	9.1	1 641	9.7	-39	222
Light commercial vehicles	31 349	2.8	35 210	2.4	3 861	1 235
Rigid trucks	7 080	2.4	8 040	2.8	961	279
Articulated trucks	5 425	2.0	6 151	1.9	726	157
Non-freight trucks	224	9.6	261	12.6	37	39
Buses	1 775	3.6	1 917	3.9	142	98
Total	192 209	1.9	209 405	1.8	17 196	5 266
(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 11,508 million kilometres and the standard error is 5,136 million kilometres, which means there are 19 chances in 20 that the true movement estimate is between an increase of 1,236 million kilometres and 21,780 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 85% of all of the selections for 2006. After removing those vehicles that had been found to be deregistered or out of scope, the live response rate for the 2006 SMVU was 84%.

RESPONSE AND NON-RESPONSE BY CATEGORY
		Percentage of selections 2006
		%
Response received
	Registered vehicle	79
	Unregistered vehicle(a)	5
Non-response
	Untraceable - mailing address unknown	5
	Other(b)	10
Total selections		100
(a) Includes deregistration, out of scope and duplicates.
(b) Includes: responses that were unusable because of unresolved queries or where the vehicle was sold during the reference quarter and the reported data covered less than 14 days; non-response where no listing could be found to enable contact by telephone; and owner contacted by telephone but response still not secured.

15 Live response rates for each state and territory, and for each vehicle type, are shown in the following tables:

LIVE RESPONSE RATES, State/territory
	Response rate
	%
New South Wales	85
Victoria	83
Queensland	87
South Australia	86
Western Australia	88
Tasmania	86
Northern Territory	75
Australian Capital Territory	79
Australia	84

LIVE RESPONSE RATES, Type of vehicle
	Response rate
	%
Passenger vehicle	81
Motor cycles	78
Light commercial vehicles	83
Rigid trucks	85
Articulated trucks	83
Non-freight carrying trucks	87
Buses	90
Total	84

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 2006 (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 13.9 million vehicles was identified on 31 March 2005 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 2006, 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 0.1% 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 2006 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, 17.8% were found to be other vehicle types, 15.6% of vehicles listed as buses were found to be other vehicle types and 3.2% 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	16	28	40
Victoria	17	35	39
Queensland	16	22	36
South Australia	17	29	37
Western Australia	14	23	41
Tasmania	15	31	43
Northern Territory	28	42	53
Australian Capital Territory	19	40	40
Australia	16	28	39
(a) Includes both partial and full imputation

CONTRIBUTION TO ESTIMATES FROM IMPUTATION(a), Type of vehicle
	Percentage of total kilometres travelled	Percentage of total tonne-kilometres travelled	Percentage of fuel consumption
	%	%	%
Passenger vehicles	16	. .	42
Motor cycles	25	. .	51
Light commercial vehicles	16	37	39
Rigid trucks	14	26	35
Articulated trucks	15	28	27
Non-freight carrying vehicles	12	. .	40
Buses	10	. .	19
Total	16	28	39
. . not applicable
(a) Includes both partial and full imputation

SURVEY PROCEDURES

23 The survey is comprised of four independent samples, with a different one used for each 3 month quarter in the overall 12 month survey period. Estimates from each of these samples are aggregated and adjusted for new motor vehicles and re-registrations of vehicles to produce an annual estimate.

Adjustments

24 The SMVU measures the use of all vehicles registered during the reference year. Because selections are taken from vehicles registered some time before the beginning of each collection period, adjustments are made to account for the change in size of the registered motor vehicle fleet since the population frame was created. For the 2006 SMVU, the frame was created on 31 March 2005. 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 2002	SMVU 2003	SMVU 2004	SMVU 2005	SMVU 2006
		%	%	%	%	%
Type of vehicle
	Passenger vehicles	3	2	1	3	1
	Motor cycles	5	6	6	4	7
	Light commercial vehicles	1	2	2	1	3
	Rigid trucks	3	2	4	2	4
	Articulated trucks	4	4	4	4	2
	Non-freight carrying vehicles	4	2	6	1	3
	Buses	4	-1	-	-2	-
	Total	2	2	2	3	2
- nil or rounded to zero (including null cells)

CONTRIBUTION OF NEW VEHICLES REGISTERED AFTER 31 MARCH
		Percentage of total kilometres travelled
		2001	2002	2003	2004	2005
		%	%	%	%	%
Type of vehicle
	Passenger vehicles	5	9	10	10	11
	Motor cycles	8	17	15	15	16
	Light commercial vehicles	5	11	14	14	14
	Rigid trucks	4	10	10	13	12
	Articulated trucks	6	14	17	18	19
	Non-freight carrying trucks	2	8	13	13	14
	Buses	5	11	14	12	15
	Total	5	10	11	11	12

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
	2002	2003	2004	2005	2006
Number of registered vehicles with nil use
Passenger vehicles	350 224	345 789	406 865	393 971	409 471
Motor cycles	87 690	76 212	92 953	73 570	100 725
Light commercial vehicles	70 111	77 282	93 220	103 683	115 841
Rigid trucks	26 130	21 725	24 214	32 944	36 263
Articulated trucks	3 575	4 187	3 967	4 105	4 340
Non-freight carrying trucks	1 563	1 270	1 547	1 518	1 448
Buses	1 217	1 679	1 319	1 303	1 343
Total	540 510	528 144	624 085	611 094	669 430
Proportion of registered vehicles with nil use (%)
Passenger vehicles	3	3	4	4	4
Motor cycles	24	20	24	17	22
Light commercial vehicles	4	4	5	5	6
Rigid trucks	8	6	7	9	9
Articulated trucks	6	7	6	6	6
Non-freight carrying trucks	9	7	9	7	7
Buses	2	3	2	2	2
Total	4	4	5	4	5

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 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 1,126 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.

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	1 126	2 435	2 895	3 362	5 100	9 077	11 374
	Victoria	1 083	2 379	2 891	3 435	5 495	8 853	13 610
	Queensland	1 386	2 523	3 189	3 777	5 429	9 152	12 051
	South Australia	1 044	2 091	2 537	3 138	4 962	7 996	12 581
	Western Australia	1 156	2 292	2 732	3 300	4 822	7 196	14 055
	Tasmania	937	2 148	2 698	3 094	4 782	9 131	15 316
	Northern Territory	1 298	2 058	2 568	2 998	4 967	9 057	13 968
	Australian Capital Territory	1 398	2 329	2 979	3 548	4 900	7 513	9 499
	Australia	1 168	2 376	2 890	3 443	5 218	8 853	12 441
Motorcycles
	New South Wales	-	250	487	712	1 716	3 558	10 347
	Victoria	-	179	408	593	1 582	3 979	4 763
	Queensland	9	199	369	486	929	3 459	7 259
	South Australia	-	180	291	474	1 407	2 871	4 555
	Western Australia	-	77	176	440	1 172	2 769	4 868
	Tasmania	-	126	324	620	1 645	5 450	6 252
	Northern Territory	-	193	474	663	2 364	4 946	9 553
	Australian Capital Territory	90	407	821	881	2 033	3 426	4 549
	Australia	-	182	369	585	1 396	3 460	6 575
Light commercial vehicles
	New South Wales	1 613	2 833	3 546	4 340	6 536	10 974	14 069
	Victoria	814	2 486	3 283	4 248	7 093	11 487	21 801
	Queensland	831	2 871	3 977	4 737	6 886	10 880	14 516
	South Australia	1 172	2 404	3 137	4 415	6 511	11 655	17 712
	Western Australia	825	2 578	2 914	3 933	6 840	12 417	17 898
	Tasmania	412	2 172	2 699	3 157	5 538	9 256	25 682
	Northern Territory	1 002	2 444	3 229	4 175	6 787	11 259	17 712
	Australian Capital Territory	1 620	2 807	3 391	4 675	6 184	9 677	14 516
	Australia	1 102	2 699	3 368	4 363	6 747	11 060	16 729
Rigid trucks
	New South Wales	465	2 193	3 648	4 837	8 579	17 558	25 684
	Victoria	145	1 072	2 593	4 042	8 222	17 213	30 908
	Queensland	691	2 519	3 716	4 957	9 394	18 498	29 311
	South Australia	195	1 771	2 406	4 054	7 600	16 196	27 656
	Western Australia	65	1 242	2 370	3 884	8 895	16 066	38 252
	Tasmania	381	1 422	2 406	3 360	7 630	14 319	32 697
	Northern Territory	558	1 684	2 513	3 731	6 218	11 262	19 126
	Australian Capital Territory	1 805	3 880	5 237	6 164	9 257	21 031	44 523
	Australia	299	1 878	3 152	4 507	8 661	17 213	28 689
Articulated trucks
	New South Wales	3 511	10 102	14 367	21 011	39 320	57 803	76 032
	Victoria	2 239	11 212	15 876	22 365	44 131	63 012	81 888
	Queensland	2 480	13 380	18 934	24 992	47 710	67 474	93 755
	South Australia	3 822	9 338	13 100	18 922	42 637	65 963	86 395
	Western Australia	459	4 761	8 485	13 126	26 297	55 212	98 270
	Tasmania	1 612	11 732	19 196	23 235	32 806	43 878	62 863
	Northern Territory	2 548	6 044	10 613	16 744	33 572	59 499	107 642
	Australian Capital Territory	5 570	24 389	31 491	32 933	47 233	64 655	97 676
	Australia	2 239	10 268	14 982	21 513	40 915	62 794	88 789
Non-freight carrying trucks
	New South Wales	486	2 184	3 327	4 792	8 071	13 374	13 374
	Victoria	334	805	1 417	2 905	6 274	9 587	20 022
	Queensland	1 223	2 150	3 193	4 133	6 020	12 831	20 428
	South Australia	90	376	571	936	2 572	10 000	18 354
	Western Australia	38	234	353	530	1 156	6 304	6 943
	Tasmania	90	113	423	651	5 150	9 986	12 465
	Northern Territory	301	1 624	3 046	4 667	7 826	15 261	24 647
	Australian Capital Territory	106	2 880	4 620	5 553	9 754	13 774	21 726
	Australia	234	805	1 600	2 669	6 020	12 757	18 354
Buses
	New South Wales	2 120	4 217	5 883	6 897	12 524	18 026	41 816
	Victoria	2 236	4 880	5 498	6 286	12 445	18 147	27 842
	Queensland	1 898	3 742	4 543	6 514	12 224	22 674	49 956
	South Australia	2 185	4 770	5 632	7 499	13 055	19 500	29 216
	Western Australia	1 256	2 458	4 787	6 876	12 858	20 454	29 913
	Tasmania	2 032	3 553	4 864	6 642	11 425	19 178	29 889
	Northern Territory	1 409	3 545	4 657	6 262	11 911	27 891	60 406
	Australian Capital Territory	2 987	8 310	11 333	12 475	17 073	25 661	52 432
	Australia	1 893	4 098	5 418	6 807	12 524	19 942	33 408
Total
	New South Wales	1 109	2 435	2 978	3 465	5 234	9 752	12 164
	Victoria	907	2 279	2 842	3 485	5 589	9 458	16 509
	Queensland	1 191	2 451	3 197	3 865	5 938	10 272	14 508
	South Australia	990	2 033	2 537	3 232	5 156	8 577	15 333
	Western Australia	913	2 256	2 711	3 300	5 156	9 130	16 729
	Tasmania	871	2 088	2 653	3 094	5 016	9 622	15 681
	Northern Territory	1 055	2 058	2 626	3 234	5 540	9 880	17 712
	Australian Capital Territory	1 277	2 273	2 949	3 548	5 001	7 963	10 452
	Australia	1 044	2 345	2 879	3 507	5 393	9 559	14 481
- 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	-	-	46	184	1 247	3 891	7 568
	Victoria	-	-	58	274	1 465	6 352	12 891
	Queensland	-	-	88	461	1 626	4 976	6 832
	South Australia	-	47	180	465	1 424	5 245	21 871
	Western Australia	-	-	6	136	1 239	4 471	8 361
	Tasmania	-	-	-	-	362	2 632	5 806
	Northern Territory	-	-	-	40	1 403	5 867	11 398
	Australian Capital Territory	-	-	130	369	1 558	3 541	9 833
	Australia	-	-	46	240	1 460	4 881	9 151
Rigid trucks
	New South Wales	284	1 838	3 145	5 379	19 114	66 092	257 618
	Victoria	44	788	2 107	4 986	22 036	82 656	286 890
	Queensland	388	2 804	4 876	8 052	24 685	102 075	420 461
	South Australia	270	1 986	3 907	6 999	23 506	80 030	214 365
	Western Australia	16	1 113	2 664	5 435	19 678	87 937	231 067
	Tasmania	53	1 682	3 909	5 904	15 974	71 469	423 399
	Northern Territory	419	1 407	2 843	5 026	15 640	43 110	146 773
	Australian Capital Territory	746	4 345	5 946	9 791	28 769	130 690	483 417
	Australia	167	1 652	3 249	5 815	20 682	82 656	286 890
Articulated trucks
	New South Wales	23 970	117 907	181 164	305 702	661 072	1 547 256	2 154 340
	Victoria	24 483	113 709	199 169	288 535	866 109	1 734 295	2 475 257
	Queensland	26 700	157 865	250 593	425 920	870 691	1 909 387	3 656 519
	South Australia	34 179	105 106	138 308	281 227	791 471	2 374 652	3 162 015
	Western Australia	2 866	59 238	96 006	180 471	519 744	2 361 717	6 370 246
	Tasmania	12 274	103 201	220 551	321 317	505 766	863 657	1 583 524
	Northern Territory	20 851	94 356	183 393	327 878	872 172	2 258 880	5 687 393
	Australian Capital Territory	39 227	239 676	321 598	394 857	680 073	1 348 899	1 925 415
	Australia	19 404	112 731	185 080	298 607	760 276	1 801 010	3 170 163
- nil or rounded to zero (including null cells)
(a) Based on distance travelled in a quarter