What is the Corruption Complaints Dashboard (CCD)?
The CCC’s Corruption Complaints Dashboard (CCD) allows users to explore corruption complaints data. The data available in the CCD contains complaints received from 1 July 2023 and the end of the last quarter, and is updated quarterly.
You can explore complaints by different attributes, such as by subjects, allegations or by sector (Queensland Police Service, Public Sector, and Local Government).
Complaints can involve multiple subjects and multiple allegations. The data shown in the CCD is provided at the complaint level.
Where the number of complaints is broken down by attribute, for example by subject or allegations, the CCD will display the total number of matters for each attribute. The sum of the matters by attribute may be higher than the total number of matters.
The dataset reflects suspected corrupt conduct complaints, not proven corrupt conduct or the outcome from the complaint.
The CCC has published this data in the interests of transparency and to assist users in better understanding corruption risks and support targeting of corruption prevention activities.
Data from before 1 July 2023 is published on the Corruption Allegations Data Dashboard (CADD). The CADD data complements the data available on the CCD. Corruption complaints data after 1 July 2023 is now available on the CCD.
The CCC has moved to a new interface as it provides better functionality for users to explore the data.
In the spirit of transparency both the historic CADD and current CCD are available on the website. Users should note that the way data is aggregated is different in these systems. Direct comparison and analysis of the data is not recommended.
When the dashboard first opens, without any filters or selections applied, it displays an overview of all corruption complaints received by the CCC for the last financial year.
The visualisations will show a summary of complaint numbers, trends over time, allegation types, and by sector. Users can interact with the dashboard by selecting elements such as:
- Sector from the summary table (Queensland Police Service, Public Sector, or Local Government).
- Complaint trends over time using the line chart showing quarterly complaint counts.
- Allegation types from the horizontal bar chart (for example, misuse of authority, failure of duty, or misuse of information).
- Time periods using the period, comparison period, and date filters at the top of the dashboard.
- Complaint outcomes from the summary cards showing CCC investigation, referred -monitoring, referred – outcome advice, referred – no further advice, no further action or not yet assessed.
Clicking on a table row, bar chart, or filters updates all other visualisations on the page, allowing users to explore complaint data for specific sectors, allegation types, periods, or outcomes.
Where complaint numbers are less than 10 they are shown with the “<10” symbol. This reduces the ability to identify a complainant or subject officer and protects the confidentiality of the complaint process as these are complaints about alleged corruption, not proven.
Also, interpreting changes or differences in small numbers (e.g. from one month to the next or between two agencies) is not advised. Small numbers of complaints could reflect a single incident as well as inflate the magnitude of change.
For example, consider the changes from:
- 1 to 2
- 100 to 101, and
- 1000 to 1001.
Although all three consist of 1 unit of change, the percentage change depends on their size, where (a) is a 100% increase, (b) is a 1% increase, and (c) is only a 0.1% increase. As can be seen, the smaller the number, the greater the relative change.
The dataset reflects suspected corruption complaints, not proven corruption or the outcome from the complaint.
This means that while the data in the dashboard provides a valuable source of information about corruption complaints, potential risk areas and trends you cannot make inferences or draw conclusions about the extent or nature of corruption in Queensland, an agency, or the merit of individual allegations by using this complaints data alone. Multiple data sources are required for this purpose.
The dashboard data also does not consider t the size of the agency or the number of people at a certain rank or position, or number of employees relative to the volume of corruption complaints. This means that comparisons between departments, ranks or positions cannot be based on this data alone.
It’s also important to note that a high number of complaints is not necessarily a sign of corruption and can reflect a positive reporting culture. Conversely, a low number of complaints is not necessarily a sign that no corruption exists and can indicate under reporting.
The CCC has published this data in the interests of transparency and to assist users to better understand corruption risks and support targeting of corruption prevention activities.
The CCD does not provide any visualisation for geographic location, because doing so may allow a person to identify an individual who is the subject of a corruption complaint, or an individual who lodged a complaint.
The user guide and glossary will assist users to navigate and use the dashboards and to understand key terms used in the dataset.
You can also email [email protected].
An attribute is the primary complaint selection displayed throughout the dashboard. The attribute slicer allows users to explore complaints by attributes such as subjects, complaint type, and allegation type. The line chart and comparison table provide further analysis of the selected attribute. Only one attribute can be selected at a time.
Filter attribute works in conjunction with the attribute slicer and can be used to focus on specific attribute values. For example, where allegation – type is the chosen attribute, this slicer allows users to view only misuse authority data rather than all types. Multiple selections can be made by holding down the Ctrl key.
The comparison table provides a side-by-side comparison of number of complaints and proportions between two specified time periods. This table may be used to:
- Compare current and previous complaint counts
- Identify percentage increases or decreases between periods
- Assess proportion of complaints against total complaints and any changes
- Drill into the selected attribute by sector using the expand/collapse controls
A complaint is counted only once per row. Ctrl + Click in Current to select multiple rows. If colours are faded, a filter is active on the table.
The summary cards provide a high-level summary of the number of complaints by assessment outcome for the selected reporting period. These cards will remain static regardless of the Unit of Public Administration (UPA) selection. This ensures the data remains deidentified.
Each card displays the current count, the count for the comparison period, and the percentage change between periods. An increase or decrease in complaint numbers should not be interpreted as a positive or negative outlook. For ease of reference, percentage increases are shown in black while decreases are shown in grey. The background trendline provides a visual indicator of this parameter over time.
These cards may be used to:
- Monitor complaint volumes across key categories at a glance
- Identify the potential seriousness of complaints by their assessment outcome
- Identify areas experiencing notable increases or decreases in activity
- Support further investigation into trends observed elsewhere in the dashboard
The bar chart provides a comparison of complaint numbers across selected complaint attributes.
This chart may be used to:
- compare complaint volumes across UPAs and allegation types
- identify the most and least frequently reported allegation types
- analyse complaint data from multiple perspectives by selecting different axis and legend attributes
- analyse one or more allegation types using the allegation – type slicer.
Clicking on a value in the current column of the comparison table above will filter this chart.
The dataset reflects suspected corrupt conduct complaints, not proven corrupt conduct or the outcome from the complaint. CCD data is raw data and also does not consider the size of the agency or the number of employees relative to the volume of corruption complaints.
A high number of complaints is not necessarily a sign of corruption and can reflect a positive reporting culture. Conversely, a low number of complaints is not necessarily a sign that no corruption exists.
The CCC has published this data in the interest of transparency and to assist users better understand corruption risks and support targeting of corruption prevention activities.
A complaint can be about the conduct of one or more subjects. The conduct of each subject can include one or more allegations of suspected corruption.
The dashboard provides information at the complaint level rather than at the allegation level. A complaint can include one or more allegations with different assessment outcomes for each.
The assessment outcome of a complaint is based on the assessment outcome of its most serious allegation.
To find out more about matters we deal with, what happens to your complaint and how we assess complaints please visit our reporting corruption section.
