South West Group

The workforce

The workforce is presented in two sections to answer the following questions:

What are the characteristics of the workers in each industry sector?
Where do the workers come from?

The workforce data represents characteristics of all people who are employed in the LGA, regardless of where they live. The characteristics of the workforce in an area are indicative of the structure of the local economy and the employment opportunities on offer. It is also indicative of the socio-demographic characteristics of the population in the local area and the broader region (that is, the local and regional skills on offer).

Data are presented for the total LGA workforce and for the workforce constituting each industry sector (Who are our workers?). This reveals the extent to which the workforce characteristics vary between each industry sector, which is indicative of specific industry sector workforce requirements.

Data are also presented for where each industry sector is deriving its workforce (Where do our workers come from?). This data reveals the extent to which each industry sector derives its workforce from outside the local area, that is, the level of self-containment of each industry sector and the overall level of self-containment of the total LGA workforce. This is important as many Local Governments have a policy objective of maximising the level of workforce self-containment.

Age structure

Derived from the Census question, ‘What is the person’s date of birth (or age last birthday)?’

The age structure of an industry’s workforce is a key component to understanding the role and function of that industry in the local area. It is an indicator of age of the industry and how long it has been established in the area, as well as the possible challenges in expanding that industry in the future. For example a young workforce may be more mobile and likely to change jobs/industries in the future while an industry with an older workforce may face succession planning issues and challenges in attracting new staff.

To get a more complete picture of the demographic characteristics of the workforce, the age structure should be viewed in conjunction with Income and Hours Worked.

Data options:

Select gender:

MalesFemalesPersons

Select a benchmark area:

Geographic area benchmark:

Industry sector benchmark:

Select an ANZSIC industry classification:

1993 - Time series
2006 - Latest classification

Select an industry sector:

The workforce (all industries)

Includes the sum of all industry categories.

Industries are classified according to an industry coding system. The 1993 Australian and New Zealand Standard Industrial Classification (ANZSIC) is not the lastest standard but provides a comparable classification for time-series data. This standard was used to code industry data for the 1996, 2001 and 2006 censuses, (2006 industry data was coded to both the 1993 and the 2006 standards).

For more information please refer to the 2006 Census Dictionary, and ANZSIC classification.

Age structure of the workforce (all industries) (ANZSIC 1993 - Time series industry classification)

Age structure of the All industries workforce by gender, South West Group 2006 and 2001		2006			2001			Change
Gender	Age group	number	%	City of Melville %	number	%	City of Melville %	2001 to 2006
Persons	15-24 years	20,187	19.0	21.6	17,151	18.8	20.3	3,036
Persons	25-34 years	20,350	19.1	17.1	19,463	21.4	19.4	887
Persons	35-44 years	25,363	23.8	21.3	23,163	25.4	23.9	2,200
Persons	45-54 years	24,927	23.4	23.9	21,150	23.2	24.2	3,777
Persons	55-64 years	13,462	12.7	13.6	8,778	9.6	10.3	4,684
Persons	65 years and over	2,107	2.0	2.5	1,367	1.5	2.0	740
Persons	Total	106,396	100.0	100.0	91,072	100.0	100.0	15,324

NOTE: Table totals may not equate with other similar tables due to randomisation of small numbers.

Age structure of the workforce, South West Group and City of Melville 2006

Change in age structure of the workforce, South West Group 2001 to 2006

Source: Australian Bureau of Statistics, Census of Population and Housing 2001 and 2006.

Please refer to the specific data notes for more information.

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