MG ZS EV

ALL TIME RANK
4
The MG ZS EV is New Zealand's 4th best selling full electric vehicle - see top 10

MG ZS EV

2022→

Range

320kms

Battery

51kWh

Price

$41,365*
  • Body Type
  • Seats
  • Drive
  • SUV
  • 5
  • FWD
  • 0-100 km/h
  • Power
  • Home charge
  • 8.6 seconds
  • 130 kW
  • 6.6 kW
  • Efficiency
  • 152 Wh/km

The 2022 model year upgraded the battery to a lithium iron phosphate battery, with additional range. Has 500 kg towing capacity.

MG ZS EV (1st gen)
USED

2019-2021

Range

263kms

Battery

44.5kWh

Price

$42k+
  • Body Type
  • Seats
  • Drive
  • SUV
  • 5
  • FWD
  • 0-100 km/h
  • Power
  • Home charge
  • 8.2 seconds
  • 105 kW
  • 6.6 kW
  • Efficiency
  • 162 Wh/km

The original MG ZS EV was first available in NZ in 2020. It could no longer be purchased new from March 2022, being replaced by the next generation.

MG ZS EV Long Range
FUTURE

Range

440kms

Battery

72.6kWh

Price Estimate

~$70k
  • Body Type
  • Seats
  • Drive
  • SUV
  • 5
  • FWD
  • 0-100 km/h
  • Power
  • Home charge
  • 8.6 seconds
  • 115 kW
  • 7.4 kW
  • Release Date
  • Efficiency
  • 2023Q1
  • 155 Wh/km

In March 2022, MG NZ said they won't be selling this in NZ. However, look for potential used imports from the UK.

* Rebate applied. Original price is $49,990

How many ZS EV's sold in NZ by Year and Month

Data shown for all MG ZS EV variations combined including both NZ New and Used import registrations.

How many ZS EV's are there in NZ?

There have been 1,209 MG ZS EV's registered in NZ to date. This is made up of 100% NZ New, and 0% Used Import.

How many of each submodel is there?

How many units of each major model variation (NZ new) have been registered to date.

Raw submodel dataUnits
EV 105KW/EV/AT851
105KW/EV/AT255
EV 44KWH/EV/AT99
EV 51KWH/EV/AT2
EV 105KW/EV/6AT2
About the data

Data is from all vehicles entered in the NZ Motor Vehicle Register open data obtained from Waka Kotahi. It is not the size of the current fleet, as some vehicles may subsequently be cancelled or de-registered. Raw submodel names are inconsistent, so for the pie charts the data has been 'fixed' to show more meaningful submodel names.

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