TECHNICAL NOTE DATA QUALITY INDICATORS


DATA QUALITY

1 When interpreting the results of a survey it is important to take into account factors that may affect the reliability of estimates. The survey procedures as well as sampling and non-sampling errors should be considered. Examination of the following quality indicators will assist users in determining fitness for purpose of the Survey of Motor Vehicle Use (SMVU).


SAMPLING ERROR

2 Estimates in this publication are based on information collected for a sample of registered motor vehicles, rather than a full enumeration, and are therefore subject to sampling error. They may differ from the estimates that would have been produced if the information had been obtained for all registered motor vehicles. Examples of the sampling error for this release are included in this Technical Note.

3 The sampling error associated with an estimate can be derived from the sample results. One measure of sampling error is given by the standard error, which indicates the extent to which an estimate might have varied by chance because only a sample of vehicles was included. There are about two chances in three that a sample estimate will differ by less than one standard error from the figure that would have been obtained if all vehicles had been included, and about 19 chances in 20 that the difference will be less than two standard errors.

4 Another measure of sampling variability is the relative standard error (RSE) which is obtained by expressing the standard error as a percentage of the estimate to which it refers. The RSE is a useful measure in that it provides an immediate indication of the percentage error likely to have occurred due to sampling. In the data cubes for this release, estimates are presented in the tables side by side with their RSEs.

5 The RSEs relating to 2014 estimates contained in Table 4 of the data cubes of this release are shown in the following table.

RSE OF MOTOR VEHICLE USE(a), State/territory of registration - Type of vehicle
	Passenger vehicles	Motor cycles	Light commercial vehicles	Rigid trucks	Articulated trucks	Non-freight carrying trucks	Buses	Total
	%	%	%	%	%	%	%	%
TOTAL KILOMETRES TRAVELLED
New South Wales	5.40	21.42	6.49	6.18	4.11	40.42	6.65	4.07
Victoria	6.75	21.28	4.94	6.40	3.66	27.11	10.95	5.15
Queensland	6.82	18.46	5.63	5.41	3.70	28.89	8.66	4.67
South Australia	5.77	16.34	8.08	6.08	3.86	16.24	13.32	4.47
Western Australia	6.53	18.02	8.00	5.39	3.45	22.35	10.72	4.74
Tasmania	5.53	18.52	7.12	5.14	6.05	23.58	8.00	4.17
Northern Territory	4.91	15.03	6.16	12.76	16.92	28.41	9.09	3.49
Australian Capital Territory	6.57	28.05	5.82	6.71	14.36	25.25	8.88	5.63
Australia	3.15	9.12	2.73	2.96	1.62	14.72	4.23	2.33
NUMBER OF VEHICLES
New South Wales	1.50	3.40	1.66	2.06	2.29	24.43	3.54	1.22
Victoria	1.93	2.13	1.76	2.30	2.12	12.30	4.55	1.57
Queensland	1.50	2.08	2.12	3.46	2.33	12.66	3.10	1.12
South Australia	2.81	4.50	2.88	2.49	2.32	6.52	8.60	2.24
Western Australia	2.32	2.19	2.39	2.07	3.14	10.02	4.66	1.65
Tasmania	1.75	3.62	2.92	2.41	3.97	4.99	3.16	1.24
Northern Territory	1.89	5.48	3.28	8.49	7.58	11.33	3.37	1.30
Australian Capital Territory	2.87	7.61	2.04	3.46	10.59	17.69	6.88	2.44
Australia	0.84	1.16	0.83	1.18	1.15	6.23	1.73	0.67
AVERAGE KILOMETRES TRAVELLED
New South Wales	5.30	21.51	6.03	6.42	3.71	21.17	6.57	3.99
Victoria	6.53	21.11	4.93	5.73	3.83	17.97	10.19	4.97
Queensland	6.70	18.48	5.66	5.58	3.80	26.30	8.22	4.65
South Australia	5.07	15.69	6.80	5.53	3.70	16.12	12.14	3.95
Western Australia	6.02	17.63	7.56	4.89	3.20	19.06	10.77	4.51
Tasmania	5.20	18.14	6.80	4.86	6.43	21.77	7.72	4.00
Northern Territory	4.42	14.21	6.07	7.76	17.28	27.55	8.22	3.20
Australian Capital Territory	5.73	27.76	5.74	6.15	9.32	20.32	8.45	5.01
Australia	3.14	9.07	2.69	2.83	1.77	10.83	4.00	2.35
(a) These RSEs relate to the estimates in Table 4.

6 As an example of the use of an RSE, the 2014 estimate for total kilometres travelled by passenger vehicles registered in Australia is 176,805 million kilometres (Table 4 of the data cubes). The rounded RSE for this estimate is 3.15%, as shown above. Therefore, the standard error for the estimated total kilometres travelled by passenger vehicles is 5,569 million kilometres (3.15% of 176,805 million kilometres). Standard errors can be used to construct confidence intervals around the estimates. There are about two chances in three that the figure obtained if all vehicles had been included, would have been in the range 171,236 million kilometres to 182,374 million kilometres (a range of one standard error above and below the survey estimate). There are about 19 chances in 20 that the figure would have been in the range 165,667 million kilometres to 187,943 million kilometres (a range of two standard errors above and below the survey estimate).

7 It is important to note that estimates at more detailed levels than the above are subject to higher RSEs and therefore are less reliable.

8 RSEs for other key estimates are shown in the following tables.

RSE of fuel consumption(a), Type of fuel - Type of vehicle
	Passenger vehicles	Motor cycles	Light commercial vehicle	Rigid trucks	Articulated trucks	Non-freight carrying trucks	Buses	Total
	%	%	%	%	%	%	%	%
TOTAL FUEL CONSUMPTION
Petrol	3.49	9.17	7.48	46.22	84.30	45.26	16.60	3.19
Diesel	11.91	-	4.66	3.12	1.65	12.86	4.55	2.68
Other(b)	29.88	-	17.67	37.99	49.54	-	15.42	21.24
Total	3.63	9.17	3.03	3.11	1.65	12.72	3.93	2.22
AVERAGE RATE OF FUEL CONSUMPTION
Petrol	1.08	3.29	2.08	14.94	4.49	32.13	3.42	0.98
Diesel	2.87	-	1.30	1.67	0.71	8.50	2.37	1.95
Other(b)	7.33	-	4.08	21.27	18.21	-	11.69	5.23
Total	1.12	3.29	1.22	1.67	0.70	8.25	2.60	0.74
- nil or rounded to zero (including null cells)
(a) These RSEs relate to the estimates in Table 5 and Table 6.
(b) Other fuel type includes LPG, CNG, Dual fuel, hybrid and other.

RSE OF FREIGHT VEHICLES(a), State/territory of operation
	Light commercial vehicles	Rigid trucks	Articulated trucks	Total
	%	%	%	%
TOTAL TONNE-KILOMETRES
New South Wales	20.17	10.60	4.01	3.82
Victoria	13.51	11.10	4.55	4.15
Queensland	15.06	10.20	4.41	4.05
South Australia	15.19	13.17	8.04	6.96
Western Australia	16.63	14.68	5.37	4.90
Tasmania	22.44	12.41	13.66	9.29
Northern Territory	15.89	19.98	23.96	22.33
Australian Capital Territory	19.82	15.68	30.97	12.45
Australia	8.12	5.08	2.10	1.84
(a) These RSEs relate to the estimates in Table 23.

9 Tables 1, 2 and 3 for this release contain estimates for earlier years.

10 The standard error for the movement between two years can be approximated using the following formula 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 2010 and 2014 SMVUs, the standard errors of the movements and the estimates from which they are derived are shown in the following table.

SE OF THE MOVEMENT OF TOTAL KILOMETRES TRAVELLED - 2010 and 2014(a)
		LEVEL ESTIMATES				MOVEMENT ESTIMATES
		2010	RSE (2010)	2014	RSE (2014)	Movement	SE (Movement)(b)
		mill.	%	mill.	%	mill.	mill.
Type of vehicle
	Passenger vehicles	163 360	3	176 805	3	13 445	7 066
	Motor cycles	2 394	8	2 162	9	-232	281
	Light commercial vehicles	42 715	3	45 540	3	2 825	1 825
	Rigid trucks	9 011	3	9 394	3	383	408
	Articulated trucks	6 917	2	7 820	2	903	179
	Non-freight trucks	210	10	346	15	135	55
	Buses	2 024	4	2 304	4	279	124
	Total	226 632	2	244 369	2	17 738	7 383
(a) Data are for 12 months ended 31 October.
(b) Calculated on unrounded RSE estimates.

12 As indicated in the table above, the estimates of movement are subject to significant sampling error and caution should be used when making inferences about change. For example, the estimate of movement for passenger vehicles is an increase of 13,445 million kilometres and the standard error is 7,066 million kilometres, which means there are 19 chances in 20 that the true movement is between a decrease of 687 million kilometres and an increase of 27,577 million kilometres (a range of two standard errors above and below the movement estimate).


NON-SAMPLING ERROR

13 Non-sampling error covers the range of errors that are not caused by sampling and can occur in any statistical collection whether it is based on full enumeration or a sample. For example, non-sampling error can occur because of non-response to the statistical collection, errors or omissions in reporting, definition or classification difficulties, errors in transcribing and processing data and under-coverage of the frame from which the sample was selected. If these errors are systematic (not random) then the survey results will be distorted in one direction and therefore will be unrepresentative of the target population. Systematic errors result in bias.


Response and non-response

14 An important factor that affects non-sampling error is the response rate achieved. The ABS makes all reasonable efforts to maximise response rates. Where appropriate, mail reminders and telephone follow-up are used to attempt to contact non-responding vehicle owners. Usable responses were received from 75% of all of the selections for 2014, comprised of 71% from registered vehicles and 4% from unregistered vehicles, out of scope and duplicates.

RESPONSE AND NON-RESPONSE BY CATEGORY
		Percentage of selections 2014
		%
Response received
	Registered vehicle	71
	Unregistered vehicle(a)	4
Non-response
	Untraceable - mailing address unknown	5
	Other(b)	20
Total selections		100
(a) Includes deregistration, out of scope and duplicates.
(b) Includes: responses that were unusable because of unresolved queries or where the vehicle was sold during the reference third and the reported data covered less than 14 days; non-response where no listing could be found to enable contact by telephone; and owner contacted by telephone but response still not secured.

15 After removing those vehicles that had been found to be deregistered or out of scope, the response rate for the 2014 SMVU was 73%.

16 Response rates for each state and territory, and for each vehicle type, are shown in the following tables:

RESPONSE RATES, State/Territory
	Response rate
	%
New South Wales	76
Victoria	73
Queensland	73
South Australia	77
Western Australia	75
Tasmania	77
Northern Territory	64
Australian Capital Territory	72
Australia	73

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

17 For the SMVU, it is assumed that the characteristics of non-responding vehicles are the same as for like responding vehicles. Non-response has the potential to cause non-response bias, which occurs if the usage patterns of the non-responding vehicles differ from those of the responding vehicles. For example, the lowest response rate achieved by vehicle type was for rigid trucks (71%). This could result in the estimates for rigid trucks being of a lower quality than other vehicle types.


Frame quality

18 The scope of the survey comprises all vehicles that were registered with a motor vehicle authority for road use at some stage during the 12 months ended 31 October 2014 (excluding caravans, trailers, tractors, plant and equipment, defence services vehicles, diplomatic or consular-plated vehicles and vintage or veteran registered vehicles). A population or survey frame of 17.2 million vehicles was identified on 31 January 2013 using information obtained from the state and territory motor vehicle registration authorities, as part of the annual ABS Motor Vehicle Census (MVC) (cat. no. 9309.0). From this frame a stratified sample of 16,000 vehicles was selected for reporting on vehicle use.

19 In 2014, the effects of duplicate vehicle registrations, vehicle de-registrations prior to frame extract, and out-of-scope vehicles on the frame was estimated to be approximately 0.3% of the total frame. This


indicates the frame was reliable in terms of providing an accurate number of registered vehicles in Australia.

20 Vehicle classification anomalies arise when respondents indicate an alteration has been made to the vehicle body, resulting in a different vehicle type to that recorded on the frame. These changes can happen during the time-lag between finalising the frame and collection of SMVU data (between 9 and 21 months). Vehicle classification anomalies can also result from data supplied by state and territory vehicle registration authorities. An assessment of vehicle classification anomalies from 2014 data shows that while there was no bias towards specific states or territories, there were marked discrepancies for some vehicle types. For vehicles on the frame that were listed as non-freight carrying trucks, 23.7% were found to be other vehicle types and 14.2% of vehicles listed as buses were found to be other vehicle types. This issue was not significant for other vehicle types on the frame.


Imputation

21 Imputation is the process whereby a value is generated for missing data items, based on the responses for similar vehicles which were operating for the reference period. This is called partial imputation. As for previous surveys, the need for imputation of unanswered items on the returned questionnaires remained quite high.

22 Additional imputation is needed due to questionnaire non-response and is called full imputation. The tables below show the percentage contribution to the estimates from both partial and full imputation.

CONTRIBUTION TO ESTIMATES FROM IMPUTATION(a), State/territory of registration
	Percentage of total kilometres travelled	Percentage of total tonne-kilometres travelled	Percentage of fuel consumption
	%	%	%
New South Wales	20	38	52
Victoria	25	52	59
Queensland	26	43	54
South Australia	18	40	44
Western Australia	26	40	57
Tasmania	26	38	57
Northern Territory	36	48	64
Australian Capital Territory	23	48	48
Australia	23	43	55
(a) Includes both partial and full imputation

CONTRIBUTION TO ESTIMATES FROM IMPUTATION(a), Type of vehicle
	Percentage of total kilometres travelled	Percentage of total tonne-kilometres travelled	Percentage of fuel consumption
	%	%	%
Passenger vehicles	23	. .	58
Motor cycles	26	. .	58
Light commercial vehicles	25	63	55
Rigid trucks	28	38	55
Articulated trucks	24	44	43
Non-freight carrying vehicles	17	. .	57
Buses	16	. .	28
Total	23	43	55
. . not applicable
(a) Includes both partial and full imputation

SURVEY PROCEDURES

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


Coherent Estimates

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


Adjustments

25 The SMVU aims to measure the use of all vehicles registered during the reference year. Because selections are taken from vehicles registered some time before the beginning of each collection period, adjustments are made to account for the change in size of the registered motor vehicle fleet since the population frame was created. For the 2014 SMVU, the frame was created on 31 January 2013. These adjustments involved two categories:

• re-registrations - older vehicles that are returning to the registered vehicle fleet after a period of de-registration, and
• new motor vehicles - vehicles which have not been previously registered.

CONTRIBUTION OF ADJUSTMENTS FOR RE-REGISTRATIONS(a), Australia - 2006, 2007, 2010, 2012 and 2014(b)
		PERCENTAGE OF TOTAL KILOMETRES TRAVELLED
		SMVU 2006	SMVU 2007	SMVU 2010	SMVU 2012	SMVU 2014
		%	%	%	%	%
Type of Vehicle
	Passenger vehicles	1	3	2	1	-
	Motor cycles	7	7	8	7	1
	Light commercial vehicles	3	2	2	2	-
	Rigid trucks	4	2	3	3	-
	Articulated trucks	2	4	4	4	-1
	Non-freight carrying vehicles	3	2	6	1	1
	Buses	-	-2	6	5	2
	Total	2	3	2	1	-
- nil or rounded to zero (including null cells)
(a) Estimates for 2014 were produced using a different method than in 2006, 2007, 2010, 2012. The contribution of adjustments for re-registrations for 2014 is not comparable with other years. (b) Data for 2006, 2007, 2010, 2014 are for 12 months ended 31 October. Data for 2012 are for 12 months ended 30 June.

26 These activities occur continuously and the adjustments are made to account for the registrations that are estimated to have been added to or removed from the registered vehicle fleet between the population frame date and the end of the reference period. The adjustment process also accounts for de-registrations. This means it is possible for the re-registration factor to be negative.

CONTRIBUTION OF NEW VEHICLES REGISTERED AFTER FRAME CREATION - 2006, 2007, 2010, 2012 and 2014(a)
		PERCENTAGE OF TOTAL KILOMETRES TRAVELLED
		2006	2007	2010	2012	2014
Type of vehicle
	Passenger vehicles	11	10	9	7	10
	Motor cycles	16	15	11	9	11
	Light commercial vehicles	14	14	10	8	11
	Rigid trucks	12	12	8	6	6
	Articulated trucks	20	17	11	9	16
	Non-freight carrying trucks	14	9	8	13	13
	Buses	15	16	5	5	3
	Total	12	11	9	7	10
(a) Data for 2006, 2007, 2010, 2014 are for 12 months ended 31 October. Data for 2012 are for 12 months ended 30 June.

Pre-advice methodology

27 The quality of survey responses is improved by employing a pre-advice methodology. This involves vehicle owners receiving early advice about their inclusion in the survey and encourages a higher degree of record keeping. In addition, the reporting of odometer readings taken at the start and end of the survey periods (approximately four months apart) provide reliable estimates of total distance travelled without a recall bias.


Nil use

28 Some providers may report nil use for the 4 month reference period in which they were selected. Nil use vehicles are registered vehicles that report no travel during that specific reference period. Nil use vehicles are included in the survey as their reported nil use is representative of other vehicles in the population. Vehicles may have nil use due to factors such as seasonal usage, mechanical faults or economic conditions. Where a provider gives a nil use response, a follow-up phone call is used to check the veracity of the response.

NIL USE, Vehicle type - 2006, 2007, 2010, 2012 and 2014(a)
	2006	2007	2010	2012	2014
NUMBER OF REGISTERED VEHICLES WITH NIL USE
Passenger vehicles	409 471	456 884	561 613	479 179	476 348
Motor cycles	100 725	125 547	148 217	182 308	196 887
Light commercial vehicles	115 841	114 241	122 227	71 292	103 727
Rigid trucks	36 263	36 660	34 647	36 549	38 541
Articulated trucks	4 340	3 680	5 165	6 162	6 652
Non-freight carrying trucks	1 448	1 418	2 424	3 157	2 566
Buses	1 343	1 510	2 831	1 809	2 006
Total	669 430	739 940	877 123	780 455	826 725
PROPORTION OF REGISTERED VEHICLES WITH NIL USE (%)
Passenger vehicles	4	4	5	4	4
Motor cycles	22	25	23	26	25
Light commercial vehicles	6	5	5	3	4
Rigid trucks	9	9	8	8	8
Articulated trucks	6	5	6	7	7
Non-freight carrying trucks	7	7	11	15	12
Buses	2	2	4	2	3
Total	5	5	6	5	5
(a) Data for 2006, 2007, 2010, 2014 are for 12 months ended 31 October. Data for 2012 are for 12 months ended 30 June.

DISTRIBUTIONS

29 The following tables provide values for total kilometres travelled and total tonne-kilometres travelled for selected percentiles. These percentiles have been calculated from all values reported in each third of the reference period. Percentiles provide some indication of the distribution of vehicle use across the survey population. For example, one-fifth of New South Wales passenger vehicles reported a distance travelled of 1,623 kilometres or less for the third they were selected in the survey. Note that the minimum value for every combination of state/territory by type of vehicle for both tables is zero.

30 Users should contact the ABS if they have any queries on the quality and reliability of estimates for particular purposes.

SELECTED PERCENTILES(a), State/territory of registration - Type of vehicle
		20th Percentile	40th Percentile	50th Percentile	60th Percentile	80th Percentile	95th Percentile	99th Percentile
TOTAL KILOMETRES TRAVELLED
Passenger vehicles
	New South Wales	1 623	2 990	3 609	4 263	6 535	11 042	20 986
	Victoria	1 623	2 913	3 792	4 744	7 366	11 694	18 335
	Queensland	1 364	2 535	3 383	4 125	6 359	10 035	23 489
	South Australia	1 517	2 662	3 320	3 902	5 593	11 175	16 596
	Western Australia	1 079	2 450	3 298	3 934	5 789	10 068	18 740
	Tasmania	1 452	2 546	3 278	3 754	5 894	9 510	14 336
	Northern Territory	1 452	2 610	3 326	3 773	6 187	10 925	18 703
	Australian Capital Territory	1 962	3 445	4 125	4 886	6 332	9 088	13 907
	Australia	1 533	2 809	3 458	4 165	6 535	11 244	18 740
Motorcycles
	New South Wales	-	115	269	534	1 532	3 281	7 490
	Victoria	-	39	287	627	1 183	3 979	5 430
	Queensland	-	127	316	490	2 093	4 681	6 839
	South Australia	-	153	364	552	1 084	2 513	3 286
	Western Australia	-	287	425	593	1 046	3 745	8 471
	Tasmania	-	81	183	426	1 349	3 607	7 943
	Northern Territory	-	297	585	857	1 876	3 552	4 842
	Australian Capital Territory	-	389	467	1 046	1 883	5 617	7 185
	Australia	-	127	316	554	1 421	3 979	6 839
Light commercial vehicles
	New South Wales	2 294	3 604	4 779	5 440	7 621	17 011	23 026
	Victoria	1 180	3 482	4 491	5 451	8 492	13 164	16 501
	Queensland	1 953	3 468	4 408	5 345	8 161	14 516	18 354
	South Australia	1 326	2 985	3 807	4 607	7 065	12 387	19 091
	Western Australia	1 341	3 570	4 358	5 464	7 935	14 516	26 568
	Tasmania	793	2 561	3 277	4 256	6 253	11 129	18 851
	Northern Territory	1 501	3 124	4 057	5 306	8 354	11 806	16 088
	Australian Capital Territory	2 324	3 939	4 572	5 747	9 359	15 096	23 001
	Australia	1 807	3 468	4 409	5 345	8 057	14 516	20 580
Rigid trucks
	New South Wales	1 214	3 008	4 244	5 336	10 082	20 747	43 121
	Victoria	245	2 721	4 445	6 746	12 443	23 683	42 817
	Queensland	847	3 008	4 075	5 773	11 830	23 455	39 300
	South Australia	319	1 600	2 950	3 850	9 281	19 312	32 385
	Western Australia	180	1 166	2 047	3 747	8 918	16 481	25 506
	Tasmania	152	1 573	3 056	4 383	8 444	18 725	36 289
	Northern Territory	586	1 945	3 034	4 909	7 461	14 717	36 827
	Australian Capital Territory	1 249	3 559	5 102	6 862	11 178	22 271	41 265
	Australia	586	2 644	3 862	5 430	10 764	21 910	42 175
Articulated trucks
	New South Wales	2 476	10 681	19 179	25 387	46 709	77 801	98 956
	Victoria	2 190	10 613	18 348	27 075	54 361	80 088	98 361
	Queensland	3 512	15 480	21 522	31 307	51 576	81 494	114 577
	South Australia	1 019	9 180	15 657	23 256	48 624	76 060	118 771
	Western Australia	502	8 670	12 797	19 158	41 548	81 323	121 811
	Tasmania	5 190	16 640	20 995	25 564	40 506	68 094	98 562
	Northern Territory	4 548	10 315	13 089	17 066	40 694	61 818	125 347
	Australian Capital Territory	8 452	19 614	25 340	40 820	49 950	60 863	64 779
	Australia	2 119	10 919	17 465	25 373	49 172	80 201	110 674
Non-freight carrying trucks
	New South Wales	928	3 269	7 505	7 948	8 805	16 313	26 798
	Victoria	137	2 610	3 982	4 308	17 372	22 186	32 607
	Queensland	203	3 139	4 939	7 150	8 118	27 924	39 924
	South Australia	68	464	645	1 123	3 046	13 259	19 427
	Western Australia	151	669	981	1 522	4 275	9 783	13 696
	Tasmania	-	329	421	582	2 600	14 907	18 454
	Northern Territory	74	593	1 339	2 014	4 481	21 550	36 260
	Australian Capital Territory	1 882	5 925	6 625	7 997	8 939	10 570	10 570
	Australia	169	1 271	2 427	4 145	8 805	18 586	32 607
Buses
	New South Wales	1 774	5 885	6 980	8 411	14 112	22 210	31 110
	Victoria	2 120	4 888	6 323	9 066	16 114	30 874	46 403
	Queensland	2 058	4 938	6 938	8 813	19 172	31 225	49 668
	South Australia	2 059	5 369	8 426	10 788	18 103	26 495	32 852
	Western Australia	1 237	4 470	6 289	8 741	15 281	32 951	46 607
	Tasmania	1 625	4 582	6 201	7 540	14 757	24 599	43 069
	Northern Territory	1 566	3 668	4 862	6 112	11 737	23 314	49 855
	Australian Capital Territory	1 536	5 287	10 187	15 305	24 619	33 523	35 036
	Australia	1 879	5 165	6 594	8 708	15 974	28 894	46 403
Total
	New South Wales	1 491	2 951	3 604	4 455	6 740	11 715	21 551
	Victoria	1 344	2 858	3 722	4 744	7 711	12 480	20 756
	Queensland	1 144	2 560	3 429	4 266	6 647	12 610	23 824
	South Australia	1 307	2 574	3 242	3 897	5 864	11 244	17 419
	Western Australia	918	2 376	3 244	3 943	6 346	11 867	21 254
	Tasmania	1 073	2 426	3 075	3 754	5 950	10 035	19 543
	Northern Territory	1 253	2 572	3 368	4 085	6 927	12 129	19 184
	Australian Capital Territory	1 837	3 275	4 031	4 856	6 419	9 557	18 740
	Australia	1 288	2 702	3 458	4 238	6 761	12 097	21 551
- nil or rounded to zero (including null cells)
(a) Based on distance travelled in a four month reference period

SELECTED PERCENTILES(a), State/territory of registration - Type of freight vehicle
		20th Percentile	40th Percentile	50th Percentile	60th Percentile	80th Percentile	95th Percentile	99th Percentile
TOTAL TONNE-KILOMETRES TRAVELLED
Light commercial vehicles
	New South Wales	-	-	54	267	1 268	4 006	21 254
	Victoria	-	-	87	293	1 538	5 538	12 408
	Queensland	-	-	102	379	1 323	3 596	7 242
	South Australia	-	-	18	291	1 403	3 921	5 311
	Western Australia	-	-	-	108	812	4 224	8 057
	Tasmania	-	-	-	31	535	2 671	11 858
	Northern Territory	-	-	32	200	973	2 094	4 022
	Australian Capital Territory	-	2	135	510	1 602	8 880	12 637
	Australia	-	-	51	272	1 320	3 986	10 308
Rigid trucks
	New South Wales	609	2 644	4 235	6 839	18 226	88 954	319 187
	Victoria	54	2 178	4 092	7 466	21 129	109 841	412 720
	Queensland	473	2 235	4 605	7 765	24 275	97 115	269 217
	South Australia	214	1 459	2 597	4 839	16 844	87 207	314 733
	Western Australia	-	1 394	2 614	4 007	16 489	78 014	314 107
	Tasmania	-	1 683	3 143	6 217	18 688	80 587	550 818
	Northern Territory	306	1 699	3 733	6 650	19 956	43 075	114 756
	Australian Capital Territory	509	3 178	5 740	8 772	22 885	146 730	334 104
	Australia	244	2 151	3 894	6 650	20 521	95 519	319 187
Articulated trucks
	New South Wales	17 555	106 624	190 004	332 475	819 872	1 828 063	3 081 370
	Victoria	20 270	122 474	203 063	336 490	932 879	2 380 034	3 203 284
	Queensland	37 290	212 418	285 537	429 295	1 046 431	2 055 962	2 908 224
	South Australia	9 833	109 071	196 235	342 107	1 060 652	2 340 309	4 390 650
	Western Australia	2 869	95 642	172 408	290 443	895 293	2 638 116	5 947 309
	Tasmania	56 484	217 296	278 631	356 373	639 375	1 484 549	2 019 454
	Northern Territory	24 695	105 520	181 286	465 306	1 181 377	2 130 182	6 217 211
	Australian Capital Territory	71 402	206 720	418 400	541 800	800 469	1 216 272	1 322 251
	Australia	17 555	127 970	222 873	357 229	943 610	2 207 144	3 593 641
- nil or rounded to zero (including null cells)
(a) Based on distance travelled in a four month reference period