ABS - Jobs In Australia - Employed in Multiple Jobs (GCCSA) 2014-2019

This dataset presents aggregated data regarding the number of people employed in multiple jobs and their respective median income by the relevant statistical regions. The data spans from 2014/2015 to 2018/2019 financial year and is aggregated to the 2016 Greater Capital City Statistical Area (GCCSA) boundaries.\n\nJobs in Australia is a new release that provides aggregate statistics from the recently developed Linked Employer-Employee Dataset (LEED). It provides new information about filled jobs in Australia, the people who hold them, and their employers.\n\nJobs in Australia describes all job relationships accumulated over the course of a year. This means that job counts in this publication are higher than the estimates of filled jobs published in the quarterly Australian Labour Account, which provides a point-in-time, or stock measure. These statistics about jobs also differ from Labour Force Survey statistics, which estimate the number of people who held a job in each month.\n\nThis data is Australian Bureau of Statistics (ABS) data (catalogue number: 6160.0) used with permission from the ABS.\n\nFor more information on the release please visit the [Australian Bureau of Statistics](https://www.abs.gov.au/methodologies/jobs-australia-methodology/2014-15-2018-19)\n\n The purpose of this publication is to provide new information about the number and nature of filled jobs in Australia, the people who hold them, and their employers. It includes information about multiple job-holding and employment in local areas. Jobs in Australia counts all jobs held during the reference year. This complements and expands on quarterly stock estimates of filled jobs presented in the Australian Labour Account.\n\n AURIN has spatially enabled the [original data](https://www.abs.gov.au/statistics/labour/earnings-and-work-hours/jobs-australia/latest-release#data-download). The following additional changes were made:\n\n * Where data was not published for confidential reasons, "np" in the original data, the records have been set to null.\n\n * Total values may be higher than the sum of the published components due to this confidentialisation.\n