Change in Local Jobs by Employment Type

The chart below shows the change in the number of jobs in the City of Melbourne between 2002 and 2018 by employment type. Part-time and casual employment grew at twice the rate of full-time employment.



Workforce Data Table

The data on employment by type can be downloaded from the tables below.

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Year Full Time Part Time Casual Contractor
2002 226230 37995 38919 16585
2003 227938 38401 40367 16557
2004 224692 39508 44066 19055
2005 229017 41685 47819 20684
2006 241013 45721 51143 24892
2007 254110 48651 52192 28216
2008 269664 50288 54014 31826
2009 277566 53637 53173 31122
2010 278967 55085 54324 36244
2011 285948 58371 54696 33497
2012 289385 60191 55485 31378
2013 286917 61706 58494 32382
2014 293984 64435 59730 28928
2015 296624 64179 54930 31047
2016 299865 65765 57073 30763
2017 304568 68582 59400 28989
2018 315860 71230 60639 31443

Unemployment Rate in the City of Melbourne

Greater Melbourne's long run average unemployment is approximately 5%. The City of Melbourne's unemployment level is persistently lower than the average across Greater Melbourne.



Unemployment Rate by Local Area (2011)

There are generally higher levels of unemployment in areas with a large proportion of public or student housing. The most notable clusters of unemployment are located in North Melbourne, Carlton and Parkville. Student housing areas have a high number of residents seeking part-time work. In areas dominated by public housing fewer residents are labour force participants.



Detailed Data: Unemployment Rate in the City of Melbourne

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PeriodCity of Melbourne Unemployment RateGreater Melbourne Unemployment Rate
Dec/2010 3.7% 5.1%
Mar/2011 3.6% 4.9%
Jun/2011 3.4% 4.8%
Sep/2011 3.3% 4.9%
Dec/2011 3.4% 5.0%
Mar/2012 3.6% 5.2%
Jun/2012 3.9% 5.4%
Sep/2012 4.0% 5.5%
Dec/2012 3.9% 5.4%
Mar/2013 3.8% 5.5%
Jun/2013 4.0% 5.6%
Sep/2013 4.3% 5.7%
Dec/2013 4.7% 6.0%
Mar/2014 5.1% 6.3%
Jun/2014 5.0% 6.4%
Sep/2014 4.9% 6.6%
Dec/2014 5.0% 6.7%
Mar/2015 4.8% 6.6%
Jun/2015 4.9% 6.5%
Sep/2015 4.7% 6.4%
Dec/2010 3.7% 5.1%
Mar/2011 3.6% 4.9%
Jun/2011 3.4% 4.8%
Sep/2011 3.3% 4.9%
Dec/2011 3.4% 5.0%
Mar/2012 3.6% 5.2%
Jun/2012 3.9% 5.4%
Sep/2012 4.0% 5.5%
Dec/2012 3.9% 5.4%
Mar/2013 3.8% 5.5%
Jun/2013 4.0% 5.6%
Sep/2013 4.3% 5.7%
Dec/2013 4.7% 6.0%
Mar/2014 5.1% 6.3%
Jun/2014 5.0% 6.4%
Sep/2014 4.9% 6.6%
Dec/2014 5.0% 6.7%
Mar/2015 4.8% 6.6%
Jun/2015 4.9% 6.5%
Sep/2015 4.7% 6.4%
Dec/2015 4.3% 6.2%
Mar/2016 4.1% 6.1%
Jun/2016 3.9% 6.0%
Sep/2016 3.7% 5.9%
Dec/2010 3.7% 5.1%
Mar/2011 3.6% 4.9%
Jun/2011 3.4% 4.8%
Sep/2011 3.3% 4.9%
Dec/2011 3.4% 5.0%
Mar/2012 3.6% 5.2%
Jun/2012 3.9% 5.4%
Sep/2012 4.0% 5.5%
Dec/2012 3.9% 5.4%
Mar/2013 3.8% 5.5%
Jun/2013 4.0% 5.6%
Sep/2013 4.3% 5.7%
Dec/2013 4.7% 6.0%
Mar/2014 5.1% 6.3%
Jun/2014 5.0% 6.4%
Sep/2014 4.9% 6.6%
Dec/2014 5.0% 6.7%
Mar/2015 4.8% 6.6%
Jun/2015 4.9% 6.5%
Sep/2015 4.7% 6.4%
Dec/2015 4.3% 6.2%
Mar/2016 4.1% 6.1%
Jun/2016 3.9% 6.0%
Sep/2016 3.7% 5.9%
Dec/2016 3.5% 5.8%
Mar/2017 3.5% 5.9%
Jun/2017 3.8% 6.0%
Sep/2017 4.1% 6.1%
Dec/2017 4.1% 6.0%