RDA Darling Downs and South West Region

Local workers - Method of travel to work - All industries

Within the RDA Darling Downs and South West Region, there is a lower proportion of local All industries workers using public transport to get to work than the Queensland workforce.

This data reveals the main modes of transport used by local workers in a particular industry to get to work. Workforce transport data for the RDA Darling Downs and South West Region is very useful in transport planning as it informs decision-makers about the effectiveness and availability of public transport.

There are a number of reasons why people use different Modes of Transport to get to work including:

  • The availability of affordable and effective public transport options between place of residence and place of work (For instance, industries located near railway stations are likely to have higher public transport use than those located away from main public transport routes);
  • The number of motor vehicles available from within a household; and
  • The travel distance to work, which for example, can allow people to walk or bicycle to their place of employment.

Method of Travel to Work data should be viewed in conjunction with Workers place of residence and resident place of work for a clearer picture of where people come from to work in the RDA Darling Downs and South West Region, and Employment locations for the Destination Zones they work in and how they arrive there.

Data source

Australian Bureau of Statistics (ABS) – Census 2016 & 2021 – by place of work

Current area:
Current industry:
Current benchmark:
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Local workers method of travel to work
RDA Darling Downs and South West Region - All industries20212016Change
Main method of travelNumber%. Queensland%Number%. Queensland%2016 - 2021
Car, as driver84,39567.160.376,43565.764.3+7,960
Car, as passenger6,9555.54.66,7705.85.3+185
Train700.11.81010.13.2-31
Bus7090.62.06770.63.4+32
Ferry200.00.2180.00.1+2
Tram40.00.1100.00.1-6
Truck1,2111.00.81,3861.20.9-175
Motorbike/Motor scooter6590.50.78540.70.9-195
Bicycle6560.50.78580.71.0-202
Taxi/Other4780.40.32230.20.2+255
Other - multiple methods9180.70.61,8981.61.5-980
Walked only5,0074.02.65,4694.73.3-462
Worked at home11,7209.313.88,9317.75.3+2,789
Did not go to work12,1099.611.011,4009.89.7+709
Not stated8050.60.51,2451.10.9-440
Total 125,716100.0100.0116,275100.0100.0+9,441

Source: Australian Bureau of Statistics, Census of Population and Housing 2016 and 2021. Compiled and presented by .id (informed decisions)

Please refer to specific data notes for more information
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Dominant groups

In 2021, there were 783 people who caught public transport to work (train, bus, tram or ferry) in the RDA Darling Downs and South West Region, compared with 93,220 who drove in private vehicles (car – as driver, car – as passenger, motorbike, or truck).

Analysis of the method of travel to work in the RDA Darling Downs and South West Region in 2021 compared to the Queensland workforce within the RDA Darling Downs and South West Region shows that 0.6% used public transport, while 74.2% used a private vehicle, compared with 3.9% and 66.3% respectively in Queensland.

The major differences between the method of travel to work of the workforce in the RDA Darling Downs and South West Region and the Queensland workforce were:

  • A larger percentage of local workers who travelled by car, as driver (67.1% compared to 60.3%)
  • A smaller percentage of local workers who worked at home (9.3% compared to 13.8%)
  • A smaller percentage of local workers who travelled by train (0.1% compared to 1.8%)
  • A smaller percentage of local workers who travelled by bus (0.6% compared to 2.0%)

Emerging groups

The largest changes in the method of travel to work of the workforce in the RDA Darling Downs and South West Region between2016 and 2021 were:

  • Car, as driver (+7,960 local workers)
  • Worked at home (+2,789 local workers)
  • Other - multiple methods (-980 local workers)
  • Did not go to work (+709 local workers)

RDA Darling Downs and South West Region

economic profile