Employment
Method of travel to work
About this topic
Method of travel to work shows how employed residents usually got to work on Census day, including private vehicle, public transport, active travel, and working from home. It provides a snapshot of commuting behaviour rather than the full transport system.
This topic supports transport and infrastructure planning and helps show how residents access employment. The 2021 results need caution because many parts of Australia were affected by COVID-19 lockdowns, which increased working from home and reduced some other travel modes.
Interpretation notes
- Method of travel to work captures the journey to work on Census day, not a person's usual weekly travel pattern.
- It applies only to employed people and is most useful with place of work or car ownership when considering transport access.
- The 2021 Census occurred during COVID-19 restrictions in many places, so work-from-home and some travel modes need caution in trend comparisons.
Key insight
In 2021, car driver was the most common travel method among employed residents in Franklin Harbour (DC), accounting for 56.7% (308 people). This share was lower than Regional SA (66.3%). Since 2016, the biggest change was in car driver, which increased by 26 people and 4.2 percentage points.
Section overview
Method of travel to work
Franklin Harbour (DC) - Employed persons (Usual residence)
This table summarises method of travel to work for Franklin Harbour (DC) in 2021 for persons, with comparison against Regional SA and change since 2016.
Chart view
Method of travel to work snapshot
2021 distribution by category for Franklin Harbour (DC), with comparison markers for Regional SA.
Train
2021 count
0
% of total
0.0%
Change from 2016
0.0pp
0
0.0%
0.0pp
Bus
2021 count
18
% of total
3.3%
Change from 2016
-0.4pp
18
3.3%
-0.4pp
Tram
2021 count
0
% of total
0.0%
Change from 2016
0.0pp
0
0.0%
0.0pp
Ferry
2021 count
0
% of total
0.0%
Change from 2016
0.0pp
0
0.0%
0.0pp
Taxi/ride-share
2021 count
0
% of total
0.0%
Change from 2016
0.0pp
0
0.0%
0.0pp
Car - as driver
2021 count
308
% of total
56.7%
Change from 2016
+4.2pp
308
56.7%
+4.2pp
Car - as passenger
2021 count
17
% of total
3.1%
Change from 2016
-0.1pp
17
3.1%
-0.1pp
Truck
2021 count
3
% of total
0.6%
Change from 2016
-1.1pp
3
0.6%
-1.1pp
Motorbike
2021 count
0
% of total
0.0%
Change from 2016
-1.1pp
0
0.0%
-1.1pp
Bicycle
2021 count
4
% of total
0.7%
Change from 2016
-0.8pp
4
0.7%
-0.8pp
Walked only
2021 count
40
% of total
7.4%
Change from 2016
+1.4pp
40
7.4%
+1.4pp
Other
2021 count
14
% of total
2.6%
Change from 2016
+1.9pp
14
2.6%
+1.9pp
Worked at home
2021 count
43
% of total
7.9%
Change from 2016
+0.1pp
43
7.9%
+0.1pp
Did not go to work
2021 count
92
% of total
16.9%
Change from 2016
-1.7pp
92
16.9%
-1.7pp
Not stated
2021 count
4
% of total
0.7%
Change from 2016
-2.5pp
4
0.7%
-2.5pp
Method of travel to work change
Absolute change in category counts between 2016 and 2021.
Train
0
0.0pp
Bus
-2
-0.4pp
Tram
0
0.0pp
Ferry
0
0.0pp
Taxi/ride-share
0
0.0pp
Car - as driver
+26
+4.2pp
Car - as passenger
0
-0.1pp
Truck
-6
-1.1pp
Motorbike
-6
-1.1pp
Bicycle
-4
-0.8pp
Walked only
+8
+1.4pp
Other
+10
+1.9pp
Worked at home
+1
+0.1pp
Did not go to work
-8
-1.7pp
Not stated
-13
-2.5pp
Data table
Method of travel to work for Franklin Harbour (DC). Method of travel to work. 2021 and 2016 counts, percentages, and change compared with Regional SA.
| Category | 2021 | 2016 | Change | |||||
|---|---|---|---|---|---|---|---|---|
| Count | % | Regional SA% | Count | % | Regional SA% | Count | pp | |
| Train | 0 | 0.0% | 0.1% | 0 | 0.0% | 0.2% | 0 | 0.0pp |
| Bus | 18 | 3.3% | 0.8% | 20 | 3.7% | 0.8% | -2 | -0.4pp |
| Tram | 0 | 0.0% | 0.0% | 0 | 0.0% | 0.0% | 0 | 0.0pp |
| Ferry | 0 | 0.0% | 0.0% | 0 | 0.0% | 0.0% | 0 | 0.0pp |
| Taxi/ride-share | 0 | 0.0% | 0.1% | 0 | 0.0% | 0.1% | 0 | 0.0pp |
| Car - as driver | 308 | 56.7% | 66.3% | 282 | 52.5% | 66.0% | +26 | +4.2pp |
| Car - as passenger | 17 | 3.1% | 4.6% | 17 | 3.2% | 4.6% | 0 | -0.1pp |
| Truck | 3 | 0.6% | 0.8% | 9 | 1.7% | 0.9% | -6 | -1.1pp |
| Motorbike | 0 | 0.0% | 0.3% | 6 | 1.1% | 0.4% | -6 | -1.1pp |
| Bicycle | 4 | 0.7% | 0.4% | 8 | 1.5% | 0.5% | -4 | -0.8pp |
| Walked only | 40 | 7.4% | 4.6% | 32 | 6.0% | 4.9% | +8 | +1.4pp |
| Other | 14 | 2.6% | 1.5% | 4 | 0.7% | 1.6% | +10 | +1.9pp |
| Worked at home | 43 | 7.9% | 8.9% | 42 | 7.8% | 7.3% | +1 | +0.1pp |
| Did not go to work | 92 | 16.9% | 10.6% | 100 | 18.6% | 11.5% | -8 | -1.7pp |
| Not stated | 4 | 0.7% | 0.9% | 17 | 3.2% | 1.3% | -13 | -2.5pp |
| Total employed persons aged 15+ | 543 | 100.0% | 100.0% | 537 | 100.0% | 100.0% | +6 | 0.0pp |