Police stations, ACT
liveThe locations of ACT Policing stations as the Australian Federal Police published them on the ACT open data portal. Each row carries the station name, the street address and the point's longitude and latitude.
Also called: ACT Police Station Locations, Canberra police stations map, ACT Policing station addresses.
- What is in each row?
- One ACT Policing station, with its name, its street address and its coordinates.
- Is it current?
- The publisher has not changed the list for several years, so a station opened, moved or closed since then is not shown. Check ACT Policing's own website before relying on an address.
- Where is the publisher's file?
- The portal serves the list as a table with each location as text. This site reads the portal's GeoJSON export of the same rows and keeps that file as the source of every version.

Made for agents
Connect your AI agent
Any agent that connects to publicdata.au/mcp can find this dataset, read its 4 fields, count and filter across all 6 rows and diff its versions. Every answer names the version and carries ACT Policing's attribution. No key.
Then ask it: What does Police stations, ACT 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.
Settings, then Connectors, then Add custom connector, and paste https://publicdata.au/mcp.
On the web and in the desktop app.
https://publicdata.au/mcp Streamable HTTP. Cursor, VS Code or any client that connects to a remote MCP server.
Using https://publicdata.au/llms.txt, how many people died on Queensland roads in 2025, by month? For an assistant that reads the web and has no connector.
A dashboard over every row. Click to filter, add panels, share a link or embed a frame.
Query APIFilter and count from a URLaggregate?group=name&metric=count
Stations by station: 1 Woden Station, 1 Tuggeranong Station, 1 Regional Headquarters (Winchester Police Centre), 1 Gungahlin Joint Emergency Service Centre.
Download it as Excel, CSV, JSON and 9 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.
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/act-police-stations/latest/ redirects to the newest version.
https://publicdata.au/d/act-police-stations/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.
https://publicdata.au/d/act-police-stations/latest/data.csv In Power BI Desktop choose Get data, then Web, paste this address and choose Anonymous when asked how to sign in. A scheduled refresh reads the same address, so the report follows each new version.
library(publicdataau)
df <- pd_read("act-police-stations")
pd_attribution(df) install.packages("publicdataau"). pd_read() fetches the version's Parquet file; pd_rows() and pd_aggregate() ask the query API instead, and pd_connect() attaches the DuckDB file.
import publicdata_au as pd_au
df = pd_au.read("act-police-stations")
df.attrs["publicdata"]["attribution"] pip install "publicdata-au[pandas]". read() fetches the version's Parquet file; rows() and aggregate() ask the query API, and connect() attaches the DuckDB file.
INSTALL httpfs; LOAD httpfs;
ATTACH 'https://publicdata.au/d/act-police-stations/v/2019-04-23/data.duckdb' AS act_police_stations (READ_ONLY);
SELECT name, count(*) FROM act_police_stations.records GROUP BY 1 ORDER BY 2 DESC; The DuckDB file attaches read-only over HTTPS and only the blocks a query touches are read. Parquet works the same way: FROM read_parquet(url).
const res = await fetch("https://publicdata.au/api/v1/datasets/act-police-stations/aggregate?group=name&metric=count");
const { rows, publicdata } = await res.json();
console.log(rows, publicdata.attribution); The query API answers a page on any site as well as Node, with no key. It returns the rows and the attribution the licence asks for.
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. Cells were typed and headers were made snake_case. The point of each feature is given as longitude and latitude columns. The empty city, state and postcode parts of the portal's location are left out. Rows were left alone.
| Field | Type | Publisher's header | Note |
|---|---|---|---|
| name | string | name | |
| address | string | location_1_address | |
| longitude | number | (longitude) | |
| latitude | number | (latitude) |
Download this table as a data dictionary (Excel), or read it as a Frictionless Table Schema at schema.json.
The first 6 rows
From the latest version, in the publisher's order, with every field. A blank cell is shown as null.
| name | address | longitude | latitude |
|---|---|---|---|
| Regional Headquarters (Winchester Police Centre) | Cnr College Street and Benjamin Way, Belconnen ACT 2617 | 149.066947 | -35.243494 |
| Belconnen Station | Cnr Benjamin Way and Market Street, Belconnen ACT 2617 | 149.06714 | -35.244993 |
| City Station | 16/18 London Circuit, Canberra City ACT 2601 | 149.126273 | -35.281035 |
| Woden Station | Cnr Callam and Wilbow St, Phillip ACT 2606 | 149.088732 | -35.345572 |
| Tuggeranong Station | Cnr Soward Way and Anketell Street, Greenway, Tuggeranong ACT 2900 | 149.069871 | -35.417961 |
| Gungahlin Joint Emergency Service Centre | Cnr Gozzard Street and Anthony Rolfe Street, Gungahlin ACT 2912 | 149.132532 | -35.182529 |
The first row as JSON
As it appears in data.json.
GET https://publicdata.au/d/act-police-stations/latest/data.json
{
"name": "Regional Headquarters\n(Winchester Police Centre)",
"address": "Cnr College Street and Benjamin Way, Belconnen ACT 2617",
"longitude": 149.066947,
"latitude": -35.243494
}
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.
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.
| Operator | What it matches |
|---|---|
| eq.value | Equal to the value. |
| neq.value | Not equal to the value. A blank cell does not match. |
| gt.value | Greater than the value. |
| gte.value | Greater than or equal to the value. |
| lt.value | Less than the value. |
| lte.value | Less 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.null | Blank in the source, or suppressed by the publisher. |
| Parameter | What it does |
|---|---|
| select | Fields to return, comma-separated. Every field when absent. |
| order | field.asc or field.desc, comma-separated. The publisher's row order when absent. |
| limit | Rows per page, 1 to 10,000. 100 when absent. |
| offset | Rows to skip. The next URL in each answer sets it for you. |
| group | On aggregate, fields to group by, comma-separated. |
| metric | On aggregate, count, sum.field, avg.field, min.field or max.field, comma-separated. count when absent. |
| format | json, 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.
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.
- 2019-04-23 6 rows4 fieldsutf-8-sig0bb4d980601b
versions.json · changes.json · history.tar.zst (3.8 KB, every version's Parquet and manifest)
Questions
How do I download Police stations as a CSV file?
Open https://publicdata.au/d/act-police-stations/latest/data.csv. It redirects to the newest dated version, which is https://publicdata.au/d/act-police-stations/v/2019-04-23/data.csv today. The same path serves Excel, JSON, GeoJSON, Parquet, SQLite, DuckDB, GeoPackage, GeoParquet, NDJSON, Arrow. A dated URL never changes, so use it when the file must stay the same.
Can I open Police stations in Excel?
Yes. https://publicdata.au/d/act-police-stations/v/2019-04-23/data.xlsx is a workbook with the 6 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/act-police-stations/v/2019-04-23/data.csv.gz is the CSV at about a tenth of the size.
How often is Police stations updated?
ACT Policing no longer updates it. This site checks the portal every week and adds a dated version when the file changes.
Can I use Police stations 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 Police stations?
No. The publisher is ACT Policing, Australian Federal Police, and its page is https://www.data.act.gov.au/d/t6hf-u79n. This site republishes the publisher's file without changing its content. The original sits beside every version as source.geojson with its SHA-256, so the two can be compared.
What coordinate system does Police stations use?
Longitude and latitude in decimal degrees from the portal's GeoJSON export, which is WGS84. The GeoJSON file uses the same coordinates, which is what GeoJSON expects.
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.geojson so the change can be checked.