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Recorded offences by suburb and offence, Victoria

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Publisher Crime Statistics AgencyUpdated quarterlyLicence CC BY 4.0Latest 2026-09-24Rows 371,541Fields 9

Offences recorded by Victoria Police for each suburb or town, with its postcode and local government area, by offence division, subdivision and subgroup, for the ten years to the end of the latest quarter. This is table 3 of the Crime Statistics Agency's workbook of recorded offences by local government area.

Also called: Melbourne crime statistics by suburb, Victorian crime rate by suburb and postcode, Crime Statistics Agency recorded offences by suburb.

Part of Victorian recorded offences, 2 tables the publisher releases together: Recorded offences by council area and offence, Victoria.

Before you use it
Can I look up my suburb?
Yes. Each row names the suburb or town, its postcode and its council area. A suburb appears only for the offence subgroups that had at least one offence recorded in that year.
Why is there no rate for a suburb?
The CSA publishes counts for suburbs and does not publish a population for them, so this table has counts only. Rates are published for council areas in the table of offences by council area.
What period does each year cover?
Each year is the twelve months ending in the month named in year_ending. A year of 2026 with a year_ending of June covers July 2025 to June 2026.
371,541rows
2017 to 2025years drawn
9fields
9formats
1version
0200k400k600k800k2017 A Crimes against the person: 78,0622017 B Property and deception offences: 314,9212017 C Drug offences: 30,1142017 D Public order and security offences: 35,8592017 E Justice procedures offences: 69,2792017 F Other offences: 1,51320172018 A Crimes against the person: 78,7482018 B Property and deception offences: 287,8212018 C Drug offences: 29,6582018 D Public order and security offences: 34,6132018 E Justice procedures offences: 70,0972018 F Other offences: 2,0032019 A Crimes against the person: 80,0122019 B Property and deception offences: 286,9062019 C Drug offences: 32,1852019 D Public order and security offences: 34,7492019 E Justice procedures offences: 75,1792019 F Other offences: 1,30320192020 A Crimes against the person: 81,9472020 B Property and deception offences: 303,7152020 C Drug offences: 36,6312020 D Public order and security offences: 31,5012020 E Justice procedures offences: 79,6352020 F Other offences: 7,3992021 A Crimes against the person: 84,3692021 B Property and deception offences: 251,6332021 C Drug offences: 36,6182021 D Public order and security offences: 29,6812021 E Justice procedures offences: 82,9022021 F Other offences: 33,18920212022 A Crimes against the person: 81,3682022 B Property and deception offences: 235,8912022 C Drug offences: 29,9222022 D Public order and security offences: 28,5462022 E Justice procedures offences: 80,2742022 F Other offences: 11,0792023 A Crimes against the person: 83,3572023 B Property and deception offences: 272,5242023 C Drug offences: 30,1512023 D Public order and security offences: 29,2602023 E Justice procedures offences: 86,9112023 F Other offences: 1,25520232024 A Crimes against the person: 88,1632024 B Property and deception offences: 311,7202024 C Drug offences: 31,3872024 D Public order and security offences: 27,8572024 E Justice procedures offences: 88,8862024 F Other offences: 1,8282025 A Crimes against the person: 96,5732025 B Property and deception offences: 376,8672025 C Drug offences: 32,4062025 D Public order and security offences: 29,7902025 E Justice procedures offences: 96,9182025 F Other offences: 1,5972025
A Crimes against the personB Property and deception offencesC Drug offencesD Public order and security offencesE Justice procedures offencesF Other offences
Offences per year by offence division, 2017 to 2025. 2026 is not drawn because the year was not over when the publisher released this version on 24 September 2026. The figure is a sum of the offences column from version 2026-09-24, worked out in the build. Nothing else is added.

Made for agents

Connect your AI agent

Any agent that connects to publicdata.au/mcp can find this dataset, read its 9 fields, count and filter across all 371,541 rows and diff its versions. Every answer names the version and carries CSA's attribution. No key.

Then ask it: What does Recorded offences by suburb and offence, Victoria hold, and what changed in the newest version?

claude mcp add --transport http publicdata https://publicdata.au/mcp

One command. No key, no account, no sign-up.

Download it as Excel, CSV, JSON and 6 more formats

Pick a format and a version. Excel is picked first because it opens in the tools most offices have. The URL is yours to keep. A dated version never changes.

Format
"Latest" redirects to the newest version and will change when the publisher releases again. A dated version never changes.
https://publicdata.au/d/vic-recorded-offences-by-suburb/latest/data.xlsx
Download

In your own tools

Use it in Excel, R, Python and more

Excel and Power BI read the CSV from its address and refresh from it. The R and Python packages take any dataset on this site by its slug, so a new dataset needs no new release. The DuckDB file attaches read-only over HTTPS, and a query reads only the blocks it touches.

The dated URL in the code never changes. https://publicdata.au/d/vic-recorded-offences-by-suburb/latest/ redirects to the newest version.

https://publicdata.au/d/vic-recorded-offences-by-suburb/latest/data.csv

In Excel choose Data, then From Web, and paste this address. Excel keeps it, so Refresh All reads the newest version. A sheet holds about a million rows; past that, load the query to the Data Model.

What is in it

Column names are made snake_case and the publisher's original header is kept beside each one. Blank cells are null. Nothing is added, removed, ranked or summarised.

FieldTypePublisher's headerNote
yearintegerYearThe year the twelve months end in.
year_endingstringYear endingThe month the twelve months end in.
lgastringLocal Government AreaLocal government area as the CSA names it.
postcodestringPostcode
suburbstringSuburb/Town Name
offence_divisionstringOffence Division
offence_subdivisionstringOffence Subdivision
offence_subgroupstringOffence Subgroup
offence_countintegerOffence CountOffences recorded by Victoria Police in the twelve months.

Download this table as a data dictionary (Excel), or read it as a Frictionless Table Schema at schema.json. The key is year, lga, postcode, suburb, offence_subgroup.

A sample of 10 rows

The largest count for one suburb and offence subgroup in each council area in the newest year, from the ten council areas where that count is largest, largest first. A blank cell is shown as null.

yearyear_endinglgapostcodesuburboffence_divisionoffence_subdivisionoffence_subgroupoffence_count
2026JuneMelbourne3000MelbourneB Property and deception offencesB40 TheftB49 Other theft2536
2026JuneGreater Shepparton3630SheppartonE Justice procedures offencesE20 Breaches of ordersE21 Breach family violence order1391
2026JuneGreater Dandenong3175DandenongB Property and deception offencesB40 TheftB42 Steal from a motor vehicle1167
2026JuneFrankston3199FrankstonE Justice procedures offencesE20 Breaches of ordersE23 Breach bail conditions1114
2026JuneBanyule3084HeidelbergE Justice procedures offencesE20 Breaches of ordersE23 Breach bail conditions1054
2026JuneMildura3500MilduraE Justice procedures offencesE20 Breaches of ordersE21 Breach family violence order1019
2026JuneWyndham3029TarneitB Property and deception offencesB40 TheftB49 Other theft942
2026JuneDarebin3072PrestonB Property and deception offencesB40 TheftB43 Steal from a retail store907
2026JuneCardinia3810PakenhamE Justice procedures offencesE20 Breaches of ordersE21 Breach family violence order831
2026JuneYarra3121RichmondB Property and deception offencesB40 TheftB42 Steal from a motor vehicle831
The first row as JSON

As it appears in data.json.

GET https://publicdata.au/d/vic-recorded-offences-by-suburb/latest/data.json
{
  "year": 2026,
  "year_ending": "June",
  "lga": "Alpine",
  "postcode": "3691",
  "suburb": "Coral Bank",
  "offence_division": "A Crimes against the person",
  "offence_subdivision": "A20 Assault and related offences",
  "offence_subgroup": "A211 FV Serious assault",
  "offence_count": 1
}

Query it without downloading

The query API returns only the rows you ask for, as JSON, NDJSON or CSV, from the same typed rows as the files. It needs no key. Build a query here and run it, then copy the URL or the code into your own work.

Try rows or aggregate for this dataset. The query builder needs JavaScript.

How filters work

Each filter is field=operator.value in the query string, and every filter must match. A number or date field compares as a number or date, and a text field compares as text. Values are case-sensitive except with ilike. Prefix not. to negate a filter, as not.eq.value.

OperatorWhat it matches
eq.valueEqual to the value.
neq.valueNot equal to the value. A blank cell does not match.
gt.valueGreater than the value.
gte.valueGreater than or equal to the value.
lt.valueLess than the value.
lte.valueLess than or equal to the value.
like.*text*Matches a pattern where * stands for any run of characters. Case-sensitive.
ilike.*text*The same as like, ignoring case.
in.(a,b,c)Equal to any value in the list. A value cannot contain a comma.
is.nullBlank in the source, or suppressed by the publisher.
ParameterWhat it does
selectFields to return, comma-separated. Every field when absent.
orderfield.asc or field.desc, comma-separated. The publisher's row order when absent.
limitRows per page, 1 to 10,000. 100 when absent.
offsetRows to skip. The next URL in each answer sets it for you.
groupOn aggregate, fields to group by, comma-separated.
metricOn aggregate, count, sum.field, avg.field, min.field or max.field, comma-separated. count when absent.
formatjson, ndjson or csv. JSON carries the provenance header, and the others carry it in response headers.

Without a version the API answers from the newest loaded version, and that answer changes when the publisher releases again. Put versions/<date>/ before rows or aggregate for an answer that never changes. /api/v1/datasets/<slug>/versions lists the loaded versions. The 1 newest version is loaded; versions lists them.

The API allows 60 requests in 10 seconds from one address. Above that it answers 429 for 10 seconds with a Retry-After header, a RateLimit-Policy header and a JSON body that gives the limit. Every API answer carries the same RateLimit-Policy. A client should wait the Retry-After seconds, or read the files, which have no limit. openapi.json describes this dataset's query paths for client generators and agents.

https://publicdata.au/mcp is a remote MCP server over Streamable HTTP with the same tools, defined in the same place, so a tool added to the pages is added here too. It needs no key and no account. The row tools are held to the query API's limit of 60 queries in 10 seconds from one address, and each call is two queries because it also counts the matching rows. Add it to Claude Code with claude mcp add --transport http publicdata https://publicdata.au/mcp, add the URL in Claude as a custom connector, or give it to any client that connects to remote MCP servers. Each queryable dataset is also a resource at https://publicdata.au/d/<slug>/fields.json, which lists its fields with their types, the publisher's descriptions, their ranges and the values they hold, so an agent can read a dataset's shape before it writes a query.

Smaller files

The same rows split by a field, one JSON file each. Each file carries the same provenance header.

By lga (79 files)

by/lga/index.json lists every file with its row count.

What changed

One version for every release the publisher has made since this site started following the dataset. The date is the day the file changed on the portal.

versions.json · changes.json · history.tar.zst (1.0 MB, every version's Parquet and manifest)

Questions

How do I download Recorded offences by suburb and offence as a CSV file?

Open https://publicdata.au/d/vic-recorded-offences-by-suburb/latest/data.csv. It redirects to the newest dated version, which is https://publicdata.au/d/vic-recorded-offences-by-suburb/v/2026-09-24/data.csv today. The same path serves Excel, JSON, Parquet, SQLite, DuckDB, NDJSON, Arrow. A dated URL never changes, so use it when the file must stay the same.

Can I open Recorded offences by suburb and offence in Excel?

Yes. https://publicdata.au/d/vic-recorded-offences-by-suburb/v/2026-09-24/data.xlsx is a workbook with the 371,541 rows on a records sheet, the field list on a second sheet and the provenance on a third. The CSV also opens in Excel. https://publicdata.au/d/vic-recorded-offences-by-suburb/v/2026-09-24/data.csv.gz is the CSV at about a tenth of the size.

What years does Recorded offences by suburb and offence cover?

The current version covers 2016 to 2025. Each release from CSA becomes a new dated version here, and earlier versions stay online.

How often is Recorded offences by suburb and offence updated?

CSA releases it quarterly. This site checks the portal every week and adds a dated version when the file changes.

Can I use Recorded offences by suburb and offence commercially?

Yes. CC BY 4.0 allows commercial use, redistribution and derived works as long as the attribution is kept. The attribution string is in this page's side column and inside every file.

Is this the official source for Recorded offences by suburb and offence?

No. The publisher is Crime Statistics Agency, and its page is https://discover.data.vic.gov.au/dataset/data-tables-recorded-offences. This site republishes the publisher's file without changing its content. The original sits beside every version as source.xlsx with its SHA-256, so the two can be compared.

How do I get only the rows for one lga?

Every version has one JSON file per value of lga, 79 files in the current version, listed with row counts at https://publicdata.au/d/vic-recorded-offences-by-suburb/v/2026-09-24/by/lga/index.json. For example https://publicdata.au/d/vic-recorded-offences-by-suburb/v/2026-09-24/by/lga/greater-geelong.json holds the 16,968 rows where lga is Greater Geelong.

What this site did to the data. Cells were typed, headers were renamed and the encoding was made UTF-8. Rows were left alone. The publisher's file sits beside every version as source.xlsx so the change can be checked.

The publisher releases Victorian recorded offences as 2 files at once, so all 2 tables here share a version date.