Journey to Work data is based on the 2006 Census Question: 'For the main job held last week, what was the person's workplace address?'
Self-sufficiency measures the proportion of workers in the area who also live in the Local Government Area or region. It indicates the level at which the residents meet the labour requirements of the industries or businesses.
Self sufficiency is likely to be higher for regional areas, lower in metropolitan areas and is influenced by:
This dataset describes the residential location (LGA) of people who work in the area. It differs from the main journey to work dataset in that it shows simply the number and proportion of workers in each industry division who also live within the area.
Journey to Work data is created by cross tabulating a person’s main workplace address (Place of Work Data) with their place of usual residence to create a matrix of home to work. The data is presented at the LGA level. This information is generally not available at the small area (suburb/locality) level due to geographic limitations when being coded or processed.
Self-sufficiency is defined as the percentage of the workforce employed in the area who also live within the LGA or region. The data presented here shows a time series (where ANZSIC93 is selected), allowing the user to see whether the level of self-sufficiency in a particular industry has increased or decreased over time. The change over time is presented as a change in percentage rather than absolute number, so that self-sufficiency can be assessed independently from changes in the overall workforce in that industry.
Please note that Journey to Work coding has generally improved over time, so that the coding of location of employment in earlier Census years may not have the same quality as the more recent years. People who could not be coded to a work destination are excluded from this dataset.
Data source: Australian Bureau of Statistics, Journey to work data 2006.
Source: Australian Bureau of Statistics, Census of Population and Housing 2001 and 2006.
Please refer to the data notes for more information.