Eastern Victorians forced to wait longer for Code 1 medical emergencies

Ambulance Victoria performance data released this week shows people living in Eastern Victoria Region are facing unacceptably long wait times for an ambulance.

The Nationals Member for Eastern Victoria Region, Melina Bath said Ambulance response times are continuing to deteriorate under Daniel Andrews.

“State wide, one in three Victorians are waiting too long for a paramedic in a Code 1 emergency.

“Alarmingly, the expected Key Performance Indicator (KPI) of 85 per cent of emergency response within 15 minutes is not being met in any local government area (LGA) in my electorate.

“Despite the sustained efforts of our hardworking paramedics, ambulance call out response times are not meeting the mark for Code 1 emergencies.

“In 2018, the Andrews Government spruiked it would cut ambulance response times with the Premier saying ‘the system was in crisis’– however, they have got worse not better.

“Our dedicated paramedics are working in a system that doesn’t support them in the way it should – and Victorians are not receiving the health care they deserve.

“Victoria’s ambulance system is continuing to buckle under Labor’s mismanagement.

“Ambulances are ramping, and in emergencies, patients are waiting unacceptably long times for medical attention or being forced to get to hospital by other means.

“Building promised ambulance stations, updating vehicles, funding more paramedics and fixing chronically underfunded emergency departments must be a priority in the upcoming state budget.

“It’s unacceptable for Labor to continually fail sick and injured Victorians when they are at their most vulnerable.”



Local Government Area KPI – 85%

31 March 2023

KPI – 85%

31 March 2018

Bass Coast 56% 63.9%
Baw Baw 60.1% 72.9%
Cardinia 48.9% 72.4%
Casey 63.2% 86.3%
East Gippsland 47.6% 59.1%
Latrobe 72.6% 78.1%
Mornington Peninsula 63.4% 82.2%
South Gippsland 51.7% 50.9%
Wellington 48.1% 57.3%
Yarra Ranges 52.7% 74.9%

SOURCE – Ambulance Victoria’s Performance Data