Bureau of Crime Statistics and Research

What types of datasets are you interested in?

1. Data Cubes




Available years


Geographic breakdown

File Format


Recorded crime by offence


Monthly data on all criminal incidents recorded by police 


Offence type, month

All of NSW
by LGA
by Postcode


​Ranking Dataset


Annual incident counts, rates per 100,000 population and ranks for selected offences


​Offence type, rate per 100,000, rank

​by  LGA



​Local Government Area Excel tables


​Snapshot of incidents, offenders and victims for each LGA


​Offence type, premises type, alcohol related, age, gender, Indigenous status

​by  LGA



Long-term trends


Annual counts for 10 categories of violent and property crime


​Offence type

​All of NSW



​Criminal Court Statistics


​Characteristics of defendants dealt with by NSW criminal courts


​Offence type, case outcomes, sentences, court delay

​All of NSW



​Prison Population
​Monthly reception, discharge and custody population data 
​Age (adult vs. juvenile), gender and Indigenous stats
​All of NSW

2. Customised datasets

Customised datasets are available from BOCSAR on request. In line with our Information Service Policy, if what you are after is relatively straightforward for BOCSAR staff to prepare (ie will take less than 30 minutes to compile), it will be free of charge and will be available within 2 working days. If you are after data that is more complex to prepare (ie it will take more than 30 minutes to compile), it will incur a cost and will take up to 10 working days to prepare.

The minimum charge for data requests taking longer than 30 minutes and up to 2 hours to complete is $440 (incl GST). Data requests taking longer than two hours incur an additional charge of $220 per hour (or part thereof).

Please carefully consider what data you request because if after we have prepared specific data for you, you request changes or more data, additional costs will be charged and further compilation time will be required.

3. Specialised Excel files (update quarterly)