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Wagga Wagga City

Local workers - Method of travel to work - All industries

Within Wagga Wagga City, there is a higher proportion of local workers using public transport to get to work than the Mining 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 Wagga Wagga City 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 pace of residence and Residents Place of work for a clearer picture of where people come from to work in the Wagga Wagga City, and Employment locations for the Destination Zones they work in and how they arrive there.

Australian Bureau of Statistics (ABS) – Census 2011 (experimental imputed) & 2016 – by place of work

Please note – The 2016 Census used a new methodology to “impute” a work location to people who didn’t state their workplace address. As a result, 2016 and 2011 place of work data are not normally comparable. To allow comparison between 2011 and 2016, .id has sourced a 2011 dataset from the ABS which was experimentally imputed using the same methodology. To provide this detail, Wagga Wagga City in 2011 had to be constructed from a best fit of Work Destination Zones (DZNs). While it may not be an exact match to the LGA or region boundary, it is considered close enough to allow some comparison. Users should treat this time series data with caution, however, and not compare directly with 2011 data from any other source.

Local workers method of travel to work
Wagga Wagga City - All industries20162011Change
Main method of travelNumber%Mining %Number%Mining %2011 to 2016
Car, as driver21,55170.4100.019,98867.763.6+1,563
Car, as passenger1,6855.50.01,9236.59.1-238
Train330.10.0210.10.0+12
Bus1250.40.01990.70.0-74
Ferry70.00.050.00.0+2
Tram00.00.000.00.00
Truck2180.70.02680.90.0-50
Motorbike/Motor scooter1640.50.02160.70.0-52
Bicycle1870.60.02500.80.0-63
Taxi/Other790.30.0760.30.0+3
Other - multiple methods6922.30.05271.89.1+165
Walked only1,5735.10.01,6015.40.0-28
Worked at home1,2424.10.01,1313.86.8+111
Did not go to work2,7308.90.02,8889.811.4-158
Not stated3201.00.04311.50.0-111

Source: Australian Bureau of Statistics, Census of Population and Housing 2011 and 2016. Compiled and presented by .id , the population experts.

Local workers method of travel to work, 2016
Local workers method of travel to work, 2016 Car, as driver, Mining: 100.0% Car, as passenger, Mining: 0.0% Train, Mining: 0.0% Bus, Mining: 0.0% Ferry, Mining: 0.0% Tram, Mining: 0.0% Truck, Mining: 0.0% Motorbike/Motor scooter, Mining: 0.0% Bicycle, Mining: 0.0% Taxi/Other, Mining: 0.0% Other - multiple methods, Mining: 0.0% Worked at home, Mining: 0.0% Did not go to work, Mining: 0.0% Not stated, Mining: 0.0% Car, as driver, All industries: 70.4% Car, as passenger, All industries: 5.5% Train, All industries: 0.1% Bus, All industries: 0.4% Ferry, All industries: 0.0% Tram, All industries: 0.0% Truck, All industries: 0.7% Motorbike/Motor scooter, All industries: 0.5% Bicycle, All industries: 0.6% Taxi/Other, All industries: 0.3% Other - multiple methods, All industries: 2.3% Worked at home, All industries: 4.1% Did not go to work, All industries: 8.9% Not stated, All industries: 1.0%
Source: Australian Bureau of Statistics, Census of Population and Housing, 2016
Compiled and presented in economy.id by .id, the population experts.
Change in local workers method of travel to work, 2011 to 2016
Change in local workers method of travel to work, 2011 to 2016 Car, as driver, All industries: +1,563 Car, as passenger, All industries: -238 Train, All industries: +12 Bus, All industries: -74 Ferry, All industries: +2 Tram, All industries: 0 Truck, All industries: -50 Motorbike/Motor scooter, All industries: -52 Bicycle, All industries: -63 Taxi/Other, All industries: +3 Other - multiple methods, All industries: +165 Worked at home, All industries: +111 Did not go to work, All industries: -158 Not stated, All industries: -111
Source: Australian Bureau of Statistics, Census of Population and Housing, 2011 and 2016
Compiled and presented in economy.id by .id, the population experts.

Dominant groups

In 2016, there were 165 people in the who caught public transport to work (train, bus, tram or ferry) in Wagga Wagga City, compared with 23,454 who drove in private vehicles (car – as driver, car – as passenger, motorbike, or truck).

Analysis of the method of travel to work of the in Wagga Wagga City in 2016 compared to the Mining workforce within Wagga Wagga City shows that 0.5% used public transport, while 76.6% used a private vehicle, compared with 0.0% and 100.0% respectively in the Mining workforce within Wagga Wagga City.

The major differences between the method of travel to work of the workforce in Wagga Wagga City and the Mining workforce were:

  • A larger percentage of local workers who did not go to work (8.9% compared to 0.0%)
  • A larger percentage of local workers who travelled by car (as a passenger) (5.5% compared to 0.0%)
  • A larger percentage of local workers who walked only (5.1% compared to 0.0%)
  • A smaller percentage of local workers who travelled by car (as driver) (70.4% compared to 100.0%)

Emerging groups

The largest changes in the method of travel of work of the workforce in Wagga Wagga City between 2011 and 2016 were:

  • Car, as driver (+1,563 local workers)
  • Car, as passenger (-238 local workers)
  • Other - multiple methods (+165 local workers)
  • Did not go to work (-158 local workers)

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