Crime statistics are often discussed as though a rise in recorded offences automatically means that more people are offending. However, recorded offences, unique alleged offenders and population-based offender rates measure different aspects of the criminal justice system. Looking at only one measure can therefore leave an incomplete picture of how recorded crime has changed over time.
This investigation examines Victorian crime statistics for the ten reporting years ending June 2017 to June 2026. Using the Crime Statistics Agency Victoria’s Recorded Offences and Unique Alleged Offenders datasets (Crime Statistics Agency, 2026a, 2026b), it explores three questions: How have recorded offences and alleged-offender rates changed over the decade? Do these patterns differ across offence divisions? How do alleged-offender rates vary across age groups and sex in the latest reporting year?
The analysis combines long-term trends, offence-division comparisons and age-specific rates. Indexing measures to a common baseline helps compare their relative changes, while the division-level visualisations reveal patterns that an overall total could conceal. Interactive tooltips allow readers to inspect individual years, offence divisions and age groups.
The central purpose is not to identify a single explanation for changes in crime, but to examine where the measures move together and where they diverge. The clearest contrast is between the endpoints: recorded offences rose by 17.4% from 2017 to 2026, while unique alleged offenders were almost unchanged (-0.2%) and the overall alleged-offender rate fell by 14.0%. This is why offence counts should not be used as a substitute for measures of people or population-based rates. These are administrative statistics about offences recorded by police and people identified as alleged offenders; they do not, by themselves, establish the causes of crime or represent every incident that occurred.
This report uses the Crime Statistics Agency Victoria’s Recorded Offences and Unique Alleged Offenders datasets for the reporting years ending June 2017–2026 (Crime Statistics Agency, 2026a, 2026b). The analysis uses the tables and measures relevant to each visualisation, with the source of each chart identified alongside the published figure.
The recorded-offence workbook’s Table 01 contains offence-subgroup
rows rather than a separate annual-total row. Annual and division totals
are therefore calculated by summing the subgroup counts for each year or
division. Overall unique alleged-offender counts are taken from the
People and Total rows in Table 01.
Division-level unique alleged-offender counts are taken from the
equivalent rows in Table 03, rather than calculated by summing offence
divisions; one person may be represented in more than one division.
The Crime Statistics Agency notes that, for confidentiality, recorded-offence counts of three or fewer in subdivisions A10 and A30 are represented as two when calculating totals. The agency also notes that population estimates from Victoria in Futures are used for the latest year’s rates when the most recent ABS population data are not yet available. These are relevant limitations when interpreting small counts and the latest rate estimates.
The validation checks examine the reporting years, missing values in key fields, duplicate year/measure or division/year combinations, and the 2017 baselines used for indexed comparisons. These checks assess the prepared data’s structure and calculations; they do not establish the causes of observed patterns.
The first visualisation compares three measures across the ten reporting years. From 2017 to 2026, recorded offences rose from 531,957 to 624,624 (+17.4%). By contrast, unique alleged offenders changed from 78,614 to 78,456 (-0.2%), while the overall alleged-offender rate fell from 1,428.4 to 1,228.4 per 100,000 population aged 10 and over (-14.0%). The gap between these movements is the central finding: the increase in recorded offences did not coincide with an increase in the total number or overall population rate of unique alleged offenders between these endpoints.
The intervening years matter. Unique alleged offenders peaked at 89,399 in 2021, when the overall rate was also highest in this period at 1,553.7 per 100,000 population aged 10 and over. The count then fell to 73,644 in 2025 before rising to 78,456 in 2026. Recorded offences peaked at 637,984 in 2025 before declining to 624,624 in 2026. Looking only at the first and last years would conceal these fluctuations.
Indexing each series to 2017 = 100 makes the relative changes easier to compare despite differences in measurement units. An index above 100 indicates a value higher than its own 2017 baseline, while an index below 100 indicates a value lower than that baseline. The index does not make counts and rates interchangeable.
Taken together, the trends show that changes in recorded-offence counts do not necessarily mirror changes in the number or population rate of unique alleged offenders. These descriptive patterns do not establish why the measures changed, and the results should not be interpreted as proof that offending behaviour increased or decreased by the same percentages.
Three crime measures, 2017–2026
Data sources: Crime Statistics Agency (2026a, 2026b), Recorded offences, Table 01, and Unique alleged offenders, Table 01, year ending June 2026.
This chart uses grouped horizontal bars, a familiar design for comparing two values within each category. Find an age group on the left, then compare the female and male bars on the same row. Longer bars indicate higher alleged-offender rates per 100,000 people in that age group. Because the scale starts at zero, both the length and the gap between bars can be compared directly.
The male rate is highest among people aged 35–39 years (2,968.5 per 100,000 males in that age group), followed by ages 40–44 (2,882.6). The highest displayed female rate is among ages 15–17 years (1,116.3 per 100,000 females in that age group). The age pattern therefore differs by sex, and a single overall rate would hide this variation.
Hover over a bar to inspect the underlying number of unique alleged offenders and the rate. The rate is the more suitable measure for comparing age groups because their population sizes differ. These are descriptive administrative statistics and do not establish why rates vary across groups.
Comparing age-specific alleged-offender rates
Data source: Crime Statistics Agency (2026b), Unique alleged offenders, Table 01, year ending June 2026.
The fourth visualisation summarises the percentage change in unique alleged offenders between 2017 and 2026 for each offence division. Crimes against the person increased by 19.8%, while Property and deception offences declined by 11.0%. Justice procedures offences increased by 34.3%; Drug offences declined by 18.1%, Public order and security offences declined by 52.4%, and Other offences increased by 5.6%.
The horizontal diverging bars make the direction and magnitude of endpoint change easier to compare than six separate count scales. The zero line distinguishes increases from decreases, and the labels give the percentage change directly. This chart compares the 2017 and 2026 endpoints. The next visualisation builds on this comparison by examining whether recorded offences and unique alleged offenders changed in the same direction within each offence division.
These are changes in division-level counts of unique alleged offenders, not changes in convictions or necessarily in the number of offences. One person may be recorded in more than one offence division, so division counts should not be added together to estimate the total number of unique people.Percentage change in alleged offenders by division
Data source: Crime Statistics Agency (2026b), Unique alleged offenders, Table 03, year ending June 2026.
The previous visualisation showed that changes in unique alleged offenders differed across offence divisions. This comparison extends that finding by placing recorded-offence changes alongside unique alleged-offender changes for the same divisions between 2017 and 2026. Each dot shows the percentage change for one measure and division. Both aligned panels use the same horizontal percentage scale, and the dashed vertical line marks zero change: values to the right indicate increases, while values to the left indicate decreases. This design makes differences in direction and magnitude easier to identify. Hover over a dot to inspect the underlying counts.
Property and deception offences illustrate the difference: recorded offences increased from 315,186 in 2017 to 358,744 in 2026 (+13.8%), while unique alleged offenders declined from 19,246 to 17,137 (-11.0%). The division therefore increased in recorded-offence volume while the number of unique alleged offenders fell.
The comparison uses only the 2017 and 2026 endpoints, so it does not show annual fluctuations. Division-level offender counts should not be added together because one person may appear in more than one division. These descriptive patterns do not establish why the measures changed.
Percentage change by measure and offence division
Data sources: Crime Statistics Agency (2026a, 2026b), Recorded offences, Table 01, and Unique alleged offenders, Table 03, year ending June 2026.
This investigation shows that Victorian crime statistics tell different stories depending on the measure examined. Across the reporting years ending June 2017–2026, recorded offences increased between the endpoints, while the total number of unique alleged offenders remained close to its 2017 level and the overall alleged-offender rate declined. The intervening changes, including the higher alleged-offender count in 2021, demonstrate why a decade-long comparison should not rely on only two observations.
The offence-division analyses reveal additional variation hidden by the overall figures. Some divisions increased in their recorded counts of unique alleged offenders, while others declined. The age-and-sex comparison adds another dimension by showing that alleged-offender rates vary across demographic groups in the latest reporting year.
These findings must be interpreted within the limits of the data. Recorded offences are not a complete measure of all crime that occurs, and unique alleged-offender statistics describe people recorded as alleged offenders rather than convictions. The measures may also be affected by reporting, recording and classification practices. The analysis is descriptive and does not establish the causes of observed changes.
The main takeaway is that no single total can fully describe changes in recorded crime. Considering offence counts, unique alleged offenders, population-based rates and offence divisions together provides a more informative account of the patterns visible in Victoria’s published statistics.