City of CaseyCommunity profile
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City of Casey

Residents' place of work

99,038, or 71.9% of the City of Casey’s working residents travel outside of the area to work.

Where do the City of Casey's residents go to work? Journey to Work data shows how many residents work locally, and how many commute out of the area and where they commute to. Some areas consist mainly of dormitory' suburbs and the majority of the residents commute out to work.  Other areas have large employment centres which attract a local workforce. Understanding where the City of Casey's residents go to work assists in planning and advocacy for roads and public transport provision.  It also helps to clarify the economic and employment drivers across areas and assists in understanding the degree of employment self-containment within the City of Casey.

Derived from the Census:

'For the main job held last week, what was the person's workplace address?'

Employed persons aged 15 or more

Please note: The ABS have discovered a minor error in the coding of Journey to Work in the 2016 Census. A revision to this dataset is expected to be released in early December and will be updated on this page soon afterwards. In the meantime, please use with caution and expect that the exact numbers may change slightly following the re-release. It is not expected to greatly change the magnitude of the numbers.

Overview
Employment location of resident workers
City of Casey2016
LocationNumber%
Live and work in the area31,97923.2
Live in the area, but work outside99,03871.9
No fixed place of work6,8194.9

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

Employment location of resident workers, 2016
Employment location of resident workers, 2016 4.9% 71.9% 23.2%
Source: Australian Bureau of Statistics, Census of Population and Housing, 2016 (Usual residence data)
Compiled and presented in profile.id by .id, the population experts.
Detailed breakdown by LGA
Employment location of resident workers by LGA
City of Casey2016
LGANumber%
Casey (C)31,97923.2
Greater Dandenong (C)25,59718.6
Melbourne (C)11,2398.2
Monash (C)11,1848.1
Kingston (C) (Vic.)7,7755.6
No Fixed Address (Vic.)6,7404.9
Knox (C)5,7624.2
Frankston (C)5,3303.9
Cardinia (S)3,6622.7
Whitehorse (C)2,9882.2
Mornington Peninsula (S)2,3301.7
Stonnington (C)2,0261.5
Maroondah (C)1,8971.4
Boroondara (C)1,7781.3
Port Phillip (C)1,7461.3
Glen Eira (C)1,6391.2
Yarra (C)1,5161.1
Bayside (C)1,1320.8
Whittlesea (C)1,0490.8
Wyndham (C)9260.7
Yarra Ranges (S)8080.6
Hume (C)6880.5
Brimbank (C)6380.5
Baw Baw (S)6120.4
Darebin (C)5380.4
Manningham (C)5160.4
Warrnambool (C)4520.3
Hobsons Bay (C)3420.2
Greater Shepparton (C)3360.2
Banyule (C)3340.2
Maribyrnong (C)3080.2
Melton (C)2930.2
Moonee Valley (C)2680.2
Moreland (C)2680.2
Mildura (RC)2660.2
Greater Geelong (C)2390.2
Latrobe (C) (Vic.)2270.2
Wangaratta (RC)1560.1
Colac-Otway (S)1540.1
Bass Coast (S)1470.1
Moyne (S)1210.1
South Gippsland (S)1170.1
Corangamite (S)1110.1
Wodonga (C)1050.1
Glenelg (S)950.1
Macedon Ranges (S)810.1
Ballarat (C)800.1
Wellington (S)710.1
Moorabool (S)650.0
Hepburn (S)520.0
Sydney (C)510.0
Greater Bendigo (C)500.0
Nillumbik (S)460.0
Mitchell (S)450.0
Gannawarra (S)430.0
Surf Coast (S)410.0
Brisbane (C)410.0
Golden Plains (S)330.0
Unincorporated ACT280.0
East Gippsland (S)270.0
Swan Hill (RC)270.0
Horsham (RC)250.0
No Fixed Address (Qld)240.0
No Fixed Address (NSW)230.0
Benalla (RC)220.0
Townsville (C)210.0
Ashburton (S)200.0
Gold Coast (C)180.0
Ryde (C)170.0
Southern Grampians (S)160.0
Northern Grampians (S)150.0
Buloke (S)150.0
Central Goldfields (S)150.0
Campaspe (S)130.0
Parramatta (C)120.0
Blacktown (C)120.0
Lane Cove (A)110.0
Moreton Bay (R)110.0
Unincorporated Vic110.0
Darwin (C)100.0
Litchfield (M)100.0
Loddon (S)100.0
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Source: Australian Bureau of Statistics, Census of Population and Housing 2016. Compiled and presented in profile.id by .id , the population experts.

Excludes employment locations with fewer than 10 people.

NOTE: Table totals may not equate with other similar tables due to randomisation of small numbers. Please refer to the specific data notes for more information.

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