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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 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%.

RESPONSE AND NON-RESPONSE BY CATEGORY
		Percentage of selections 2005
		%
Response received
	Registered vehicle	73
	Unregistered vehicle(a)	5
Non-response
	Untraceable - mailing address unknown	7
	Other(b)	15
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	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

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

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

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