Transport Safety and Security : Deaths and injuries

SS004 Number of deaths (road, rail, maritime, aviation)

Series Data

Number of deaths by mode
20062007200820092010
Road (Police reported deaths)393421366385375
Rail deaths1811131210
Maritime Commercial93949
Maritime Recreational610162414
Maritime Total1513252823
Aviation124161315
Pedestrians4445313135
Pedal Cyclist91210810
Full range of data available in CSV download Download: CSV iconNumber of deaths by mode (CSV, 1 KB)
Aviation: Number of Fatal Injuries - All accidents (aircraft accidents, hang glider accidents and parachute accidents)
20062007200820092010
Airline Operations - Large Aeroplanes00000
Airline Operations - Medium Aeroplanes00000
Airline Operations - Small Aeroplanes00000
Airline Operations - Helicopter00000
Sport Transport00050
Other Commercial Operations - Aeroplane213111
Other Commercial Operations - Helicopter00202
Agricultural Operations - Aeroplane11100
Agricultural Operations - Helicopter10000
Agricultural Operations - Sport Aircraft00000
Private Operations - Aeroplane20011
Private Operations - Helicopter20100
Private Operations - Sport42761
Other00200
Total124161315
Full range of data available in CSV download Download: CSV iconAviation: Number of Fatal Inju.. (CSV, 1 KB)
Number of deaths by region
20062007200820092010
Road
Northland3030293522
Auckland8154526953
Waikato6895757567
Bay of Plenty3635292837
Gisborne47856
Hawkes Bay2528141919
Taranaki121071711
Manawatu/Wanganui3141313841
Wellington3215222010
Nelson/Marlborough1010101424
West Coast46867
Canterbury3655483248
Otago1424211118
Southland1011121612
All NZ393421366385375
Pedestrians
Northland27231
Auckland12126115
Waikato46223
Bay of Plenty42224
Gisborne01001
Hawkes Bay45012
Taranaki22012
Manawatu/Wanganui02041
Wellington90441
Nelson/Marlborough11201
West Coast00312
Canterbury55616
Otago11315
Southland01101
All NZ4445313135
Pedal Cyclists
Northland01200
Auckland20113
Waikato23113
Bay of Plenty00020
Gisborne10000
Hawkes Bay02000
Taranaki10000
Manawatu/Wanganui02002
Wellington21210
Nelson/Marlborough10000
West Coast00000
Canterbury02122
Otago00110
Southland01200
All NZ91210810
Rail deaths
Northland00000
Auckland81550
Waikato41001
Bay of Plenty12021
Gisborne00000
Hawkes Bay00100
Taranaki01000
Manawatu/Wanganui22002
Wellington03313
Nelson/Marlborough00021
West Coast00000
Canterbury31421
Otago00001
Southland00000
All NZ1811131210
Full range of data available in CSV download Download: CSV iconNumber of deaths by region (CSV, 3 KB)

Graphical Data

Road deaths

Police reported deaths


Road deaths
Download: Graph icon Road deaths Image (PNG, 12 KB)

Rail, Maritime and Aviation deaths

Rail, Maritime and Aviation deaths


Rail, Maritime and Aviation deaths
Download: Graph icon Rail, Maritime and Aviation de.. Image (PNG, 29 KB)

Metadata

Indicator name

Key reference number SS004
Indicator Deaths and injuries
Date exported 13/09/2011
Core indicator information
Road
Nature of data Quantitative
Data source MoT - Crash Analysis System (CAS)
Definition Deaths within 30 days of injuries received in on-road motor vehicle crashes. Reported to MoT and NZ Transport Agency by Police officers who attend road crashes. (Full details in Motor Vehicle Crashes in NZ.)
Frequency Annually from 2000
Disaggregation National, regional
Timeliness Data for Jan-Dec year is available by the following June
Quality of the data
Rail
Nature of data Quantitative
Data source MoT / NZ Transport Agency
Definition All deaths within 30 days of incidents occurring on the rail corridor and involving a rail vehicle.
Reported to NZ Transport Agency by rail operators.
Frequency Annually from 2000
Disaggregation National, regional
Timeliness Data available within one month
Quality of the data
Maritime
Nature of data Quantitative
Data source Maritime NZ
Definition
Frequency Annually from 1999
Disaggregation National
Timeliness
Quality of the data
Aviation
Nature of data Quantitative
Data source CAA
Definition Means any injury which results in death within 30 days of the accident
Frequency Annually from 2000
Disaggregation National, by Safety Outcome Target Group
Timeliness July
Quality of the data Reliable