Transport volume : Vehicle travel

TV001 Road vehicle kilometres travelled (VKT)

Series Data

Road VKT (billions of km)
20072008200920102011
Road travel40.139.739.739.839.7
Full range of data available in CSV download Download: CSV iconRoad VKT (billions of km) (CSV, 1 KB)
Regional road VKT (millions of km)
2007/082008/092009/102010/112011/12
LOCAL ROAD VKT (m)
Northland Region761797794792789
Auckland Region79027984801780667939
Waikato Region17251840188120542060
Bay of Plenty Region11061111118111641167
Gisborne Region218266209207204
Hawkes Bay Region845812829819814
Taranaki Region361365362374372
Manawatu-Wanganui Region10951095111610661071
Wellington Region18821872203818541849
Tasman-Marlborough Region554559561582595
Canterbury Region29322954298830953085
West Coast Region122122122122121
Otago Region879892931914910
Southland Region486504530530530
NZ total2086921176215602163721507
STATE HIGHWAY VKT (m)
Northland Region953938947946926
Auckland Region41474104419342834344
Waikato Region32533068318632333188
Bay of Plenty Region15711521153515381549
Gisborne Region180175179182183
Hawkes Bay Region663668670661650
Taranaki Region662651677669668
Manawatu-Wanganui Region13821377142713701334
Wellington Region16781663163416811589
Tasman-Marlborough Region745776770788727
Canterbury Region21162244215522602298
West Coast Region359406374415402
Otago Region12361289127113101284
Southland Region538589569623617
NZ total1948419469195891995919758
REGIONAL VKT (m)
Northland Region17131736174117381715
Auckland Region1204912088122101234812282
Waikato Region49794908506752875249
Bay of Plenty Region26772632271727022716
Gisborne Region398441388390387
Hawkes Bay Region15081480149914801464
Taranaki Region10221016104010431040
Manawatu-Wanganui Region24772472254324362405
Wellington Region35603536367235343438
Tasman-Marlborough Region13001335133113711322
Canterbury Region50485199514353545382
West Coast Region481528496536523
Otago Region21152180220222242194
Southland Region10241093109911531147
NZ total4035440645411494159641265
REGIONAL VKT %
Northland Region4.2%4.3%4.2%4.2%4.2%
Auckland Region29.9%29.7%29.7%29.7%29.8%
Waikato Region12.3%12.1%12.3%12.7%12.7%
Bay of Plenty Region6.6%6.5%6.6%6.5%6.6%
Gisborne Region1.0%1.1%0.9%0.9%0.9%
Hawkes Bay Region3.7%3.6%3.6%3.6%3.5%
Taranaki Region2.5%2.5%2.5%2.5%2.5%
Manawatu-Wanganui Region6.1%6.1%6.2%5.9%5.8%
Wellington Region8.8%8.7%8.9%8.5%8.3%
Tasman-Marlborough Region3.2%3.3%3.2%3.3%3.2%
Canterbury Region12.5%12.8%12.5%12.9%13.0%
West Coast Region1.2%1.3%1.2%1.3%1.3%
Otago Region5.2%5.4%5.4%5.3%5.3%
Southland Region2.5%2.7%2.7%2.8%2.8%
LOCAL ROAD %51.7%52.1%52.4%52.0%52.1%
Full range of data available in CSV download Download: CSV iconRegional road VKT (millions of.. (CSV, 6 KB)

Graphical Data

Metadata

Indicator name Road vehicle kilometres travelled (VKT)
Key reference number TV001
Definition of indicator Road vehicle kilometres travelled
Export date 11/03/2013
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
The source is the NZTA Smartmovez site
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