Transport volume : Vehicle travel

TV001 Road vehicle kilometres travelled (VKT)

Series Data

Road VKT (billions of km)
20052006200720082009
Road travel39.539.540.239.939.9
Full range of data available in CSV download Download: CSV iconRoad VKT (billions of km) (CSV, 1 KB)
Regional road VKT (millions of km)
2005/062006/072007/082008/092009/10
LOCAL ROAD VKT (m)
Northland Region726727761791794
Auckland Region76447767790079778014
Waikato Region16941715172318381858
Bay of Plenty Region10931116110611111176
Gisborne Region217217218266209
Hawkes Bay Region796843845812829
Taranaki Region342348361365362
Manawatu-Wanganui Region11101102109410951077
Wellington Region19111864188218722016
Tasman-Marlborough Region476566554559636
Canterbury Region28112938293229533112
West Coast Region126122122122122
Otago Region867871879892931
Southland Region478484486490527
NZ total2029120680208632114621664
STATE HIGHWAY VKT (m)
Northland Region925924953938947
Auckland Region40904086414743134490
Waikato Region31613156325330763199
Bay of Plenty Region14971468157115341557
Gisborne Region184168180175179
Hawkes Bay Region670669679658670
Taranaki Region643643662651677
Manawatu-Wanganui Region14271393142213581379
Wellington Region16341583169916901729
Tasman-Marlborough Region770766794772781
Canterbury Region21552160224622292252
West Coast Region374342395409406
Otago Region12711262129712691296
Southland Region569546558555589
NZ total1937019166198551962720151
REGIONAL VKT (m)
Northland Region16511651171317291741
Auckland Region1173411853120471229012503
Waikato Region48554871497749145057
Bay of Plenty Region25902584267726452733
Gisborne Region401385398441388
Hawkes Bay Region14661512152414701499
Taranaki Region985991102210161039
Manawatu-Wanganui Region25372495251724532455
Wellington Region35453447358135623745
Tasman-Marlborough Region12461332134813311417
Canterbury Region49665098517751825365
West Coast Region500464517531528
Otago Region21382133217721602227
Southland Region10471030104310451116
NZ total3966139846407184077241814
REGIONAL VKT %
Northland Region4.2%4.1%4.2%4.2%4.2%
Auckland Region29.6%29.7%29.6%30.1%29.9%
Waikato Region12.2%12.2%12.2%12.1%12.1%
Bay of Plenty Region6.5%6.5%6.6%6.5%6.5%
Gisborne Region1.0%1.0%1.0%1.1%0.9%
Hawkes Bay Region3.7%3.8%3.7%3.6%3.6%
Taranaki Region2.5%2.5%2.5%2.5%2.5%
Manawatu-Wanganui Region6.4%6.3%6.2%6.0%5.9%
Wellington Region8.9%8.7%8.8%8.7%9.0%
Tasman-Marlborough Region3.1%3.3%3.3%3.3%3.4%
Canterbury Region12.5%12.8%12.7%12.7%12.8%
West Coast Region1.3%1.2%1.3%1.3%1.3%
Otago Region5.4%5.4%5.3%5.3%5.3%
Southland Region2.6%2.6%2.6%2.6%2.7%
LOCAL ROAD %51.2%51.9%51.2%51.9%51.8%
Full range of data available in CSV download Download: CSV iconRegional road VKT (millions of.. (CSV, 5 KB)

Graphical Data

Download: Graph icon Image (PNG, 9 KB)

Metadata

Indicator name Road vehicle kilometres travelled (VKT)
Key reference number TV001
Definition of indicator Road vehicle kilometres travelled
Export date 17/03/2011
National VKT estimates
Nature of data Estimate
Data source Derived from the change in WoF/CoF Odometer readings
From MoT Fleet Statistics tab 1.4 to 1.7
Frequency Annual
Disaggregation NZ total
Timeliness Aug-Sep the following year
Quality of the data These are the best national VKT estimates available, they respond well to oil price etc shocks as they are directly measured from vehicle odometers
Availability of forecast data Yes
Regional VKT estimates
Nature of data Estimate
Data source Derived from TLA and NZTA RAMM (Road Assessment and Maintenance Management) systems
Frequency Annual
Disaggregation Regional
Timeliness October or before of the following year
Quality of the data The counts and estimates in RAMM are updated periodically so the estimates may not reflect either traffic growth, or responses to events such as oil price shocks
The regional totals will NOT equal the national estimate, nor are they as accurate at a national level
Local road RAMM count and estimate maintenance cycle frequency differs across the country, as does the quality of the data loaded
The MoT and NZTA have commissioned work to provide an improved process for capturing and maintaining this data, but the approach is not rolled out yet
Availability of forecast data No