2.5% ▼ -32.1%
Higher than 59% of suburb / locality areas.
- 2011: 3.7%
- 2016: 2.6%
- 2021: 2.5%
Share of occupied private dwellings with no registered motor vehicle.
Port Hacking · Suburb / Locality
Transport & Vehicles in Port Hacking
How households get around — the vehicles they keep and the journey to work.
Almost 40% of people working in Port Hacking do so from home, a figure far above the national average. This high rate of remote work, combined with very high car ownership, suggests a community that relies less on daily travel to the city. Most residents have multiple vehicles and very few are without a car.
Vehicles
Motor vehicles per home, and homes with no car.
Very few households here are without a car, at just 2.5%, which is well below the New South Wales figure. Most homes have at least two vehicles, with 40.5% owning exactly two and another 35.2% owning three or more.
Motor vehicles per home
View on map →In Port Hacking, the largest group is 2 vehicles at 41%, followed by 1 vehicle (21%) and 3 vehicles (18%).
Getting to work
How people travel to work.
Working from home is a primary choice for 39.6% of the workforce, which is among the highest for similar areas. While 40.4% drive themselves to work, only 0.8% use public transport, which is a little below the national figure.
39.6% ▲ +490.1%
Higher than 90% of suburb / locality areas.
- 2011: 6.7%
- 2016: 8.7%
- 2021: 39.6%
Share of employed people aged 15+ who worked at home on census day.
0.8% ▼ -77.0%
Higher than 71% of suburb / locality areas.
- 2011: 3.7%
- 2016: 5.2%
- 2021: 0.8%
Share of employed people who got to work by train, bus, ferry or tram/light rail as their only method of travel on census day.
Public transport access
Stops, services, routes and how far you can get by public transport.
Public transport options are limited to a single bus route, and it takes a very long time to reach the city by transit. While there are 4 stops in the area, the number of weekly departures per 1,000 people is far below the state average.
4
Higher than 73% of suburb / locality areas.
Scheduled public-transport stops (bus, train, tram and ferry) located in the area, from the state GTFS feeds.
3.31
Higher than 71% of suburb / locality areas.
Public-transport stops per 1,000 residents — a measure of how densely an area is served (GTFS stops; population from the 2021 Census).
406.6
Higher than 77% of suburb / locality areas.
Scheduled weekly public-transport departures from stops in the area, per 1,000 residents — how often transit actually runs, not just whether a stop exists (GTFS schedules for a representative week; population from the 2021 Census).
1
Higher than 71% of suburb / locality areas.
Distinct public-transport routes serving stops in the area (GTFS feeds).
16,384
Higher than 70% of suburb / locality areas.
How many people live within 30 minutes of the area by public transport + walking on a weekday morning — a measure of how well-connected the area is (computed with R5 over the GTFS schedules + OpenStreetMap network).
49,947
Higher than 65% of suburb / locality areas.
How many people live within 45 minutes of the area by public transport + walking on a weekday morning (computed with R5 over the GTFS schedules + OpenStreetMap network).
85
Higher than 96% of suburb / locality areas.
Public-transport + walking time, in minutes, from the area to its capital city centre on a weekday morning (R5 over the GTFS schedules + OpenStreetMap network). Blank where no scheduled service connects the area to the city.
Getting around
Walking distance to transport and driving time to the city.
The drive time to the city is 28 minutes, which is much lower than most similar areas. Access is convenient for those nearby, with the walk to the nearest stop being among the lowest for this level.
0
Lower than 99% of suburb / locality areas.
Walking time, in minutes, from the centre of the area to the nearest public-transport stop, along the OpenStreetMap pedestrian network (Valhalla). Blank where no stop is within a reasonable walk.
28
Lower than 76% of suburb / locality areas.
Free-flow driving time, in minutes, from the centre of the area to its state/territory capital city centre, along the OpenStreetMap road network (Valhalla). Excludes live traffic.
Sources
- Census of Population and Housing — Australian Bureau of Statistics, 2021 (CC BY 4.0).
- Public transport timetables (GTFS) — State & territory transport agencies, 2026 (CC BY 4.0 (WA: custom PTA licence)).
- Transit accessibility (GTFS + OpenStreetMap, via R5) — State transport agencies & OpenStreetMap contributors, 2026 (ODbL 1.0 + CC BY).
- Road & path network (OpenStreetMap, via Valhalla) — OpenStreetMap contributors, 2026 (ODbL 1.0).
More for Port Hacking
Cite this page
Australian Bureau of Statistics. (2021). Transport & Vehicles in Port Hacking [Census of Population and Housing]. CensusAtlas, used under CC BY 4.0. https://censusatlas.au/region/sal/SAL13256/port-hacking/topic/transport