NZ Police Stats provide Demographic breakdown of offenders over time. Using the Census 2023 data, we can calculate the “per-capita” rate of Offending for each group, by dividing the total reported crimes by the number of people in each group. We then multiply that by 100,000 – showing the rate of offending per 100,000 people. This helps give a better picture than simple raw totals when group sizes differ.
The crime information is sourced from the policedata section of the NZ Police site, it is a public Tableau database that is updated monthly.
For this report I used the “Proceedings (Unique offender demographics)” Tableau, using the Demographics tab, to describe the volumes and rates of crimes committed by people by demographic. These are all crimes where Proceedings were brought against an offender. If an offender had multiple Proceedings brought, they are counted once.
For per-capita values, the “Undefined” and any unknown categories are Excluded from the total. This is any reported crime where the Ethnicity of the Offender is undetermined. Any entries with an Outcome of “Not Proceeded With” have been excluded.
** While it would be very interesting to be able to combine these reports to show which ethnic groups were victimising each ethnic groups, that is not possible with the Public Police Tableau data.
For more information on this report, please look at the source: https://www.police.govt.nz/about-us/publications-statistics/data-and-statistics/policedatanz/proceedings-offender-demographics
For more information on what each of the “divisions” below mean, see the ANZSOC: https://www.abs.gov.au/statistics/classifications/australian-and-new-zealand-standard-offence-classification-anzsoc/latest-release
Overall Offending by Ethnicity
These graphs show all Crimes where an offender was identified and proceedings were brought from March 2025 to February 2026, by ethnic group of the Offender (including those Offenders who committed 10 or more crimes):
Robbery/Extortion Offending by Ethnicity
These graphs show all Robbery/Extortion Crimes where an offender was identified and proceedings were brought from March 2025 to February 2026, by ethnic group of the Offender:
Unlawful Entry/Burglary and Related Offending by Ethnicity
These graphs show all Unlawful Entry/Burglary and Related Crimes where an offender was identified and proceedings were brought from March 2025 to February 2026, by ethnic group of the Offender:
Theft Offending by Ethnicity
These graphs show all Theft Crimes where an offender was identified and proceedings were brought from March 2025 to February 2026, by ethnic group of the Offender:
Homicide Offending by Ethnicity
These graphs show all Homicide and Related Crimes where an offender was identified and proceedings were brought from March 2025 to February 2026, by ethnic group of the Offender:
Harm or Endanger Persons Offending by Ethnicity
These graphs show all Harm or Endanger Persons Crimes where an offender was identified and proceedings were brought from March 2025 to February 2026, by ethnic group of the Offender:
Sexual Assault and Related Offending by Ethnicity
These graphs show all Sexual Assault and Related Crimes where an offender was identified and proceedings were brought from March 2025 to February 2026, by ethnic group of the Offender:
Fraud, Deception and Related Offending by Ethnicity
These graphs show all Fraud, Deception and Related Crimes where an offender was identified and proceedings were brought from March 2025 to February 2026, by ethnic group of the Offender:
Illicit Drug Offending by Ethnicity
These graphs show all Illicit Drug Crimes where an offender was identified and proceedings were brought from March 2025 to February 2026, by ethnic group of the Offender:
Environmental Offending by Ethnicity
These graphs show all Environmental Offending Crimes where an offender was identified and proceedings were brought from March 2025 to February 2026, by ethnic group of the Offender:
New Zealand’s Ethnic Makeup – 2023 Census
The ethnic group distribution of New Zealand as per the 2023 Census. This is a self-selected grouping in the Census, and where people have chosen more than one group, they are counted in each group. (It’s not a genetic thing, that wouldn’t be possible.)
