Dataset: Reported annual fishing effort from Commonwealth fisheries logbooks


While at sea, Commonwealth fishers must record all catch and effort in their AFMA daily fishing logbooks. This dataset shows the annual fishing effort that fishers have recorded in their logbooks for Commonwealth fisheries managed by the Australian Fisheries Management Authority (AFMA). The effort data is provided by fishery, by gear, and by calendar year. Location of effort within a fishery is not included.

Fishing effort is measured differently depending on the fishing method used. In this dataset we provide the most common measures that are used by scientists.

Appropriate use and limitations of the data

The effort data in logbooks are estimates which have been recorded by fishers while at sea. AFMA uses effort data in combination with logbook catch, spatial data, and other relevant information (such as independent surveys) to inform stock assessments.

You will need to be careful when interpreting trends in this data because there are many factors that can affect effort each year. For example management measures such as closing fishing areas and reducing boat numbers. Similarly, changes in market demand can change fishing decisions and affect effort.

These data may differ from other summations over the same time period (such as stock assessment reports) due to differences in data handling procedures. For example, scientists may standardise effort for assessments to account for issues such as changes in gear efficiency, catchability of fish and skipper expertise. They may also filter out effort from their assessments because of data quality issues.

In addition, the data may be different in other datasets with different summations such as effort by fishing season.


The data provided by AFMA is raw (unprocessed) data and may contain errors or be incomplete. AFMA makes no warranty or representation that the data is accurate or complete. Those who choose to use this data should make their own enquiries as to its accuracy and completeness and AFMA assumes no liability for any errors or omissions in the data provided, or for any decision by a person who chooses to rely on the data.

Read the metadata (attached below) for further information about the dataset.

General Information