Poker machine expenditure by venue, Victoria, last three years
liveCurrent gaming expenditure by venue from the Victorian Gambling and Casino Control Commission. Each row is one gaming venue and one financial year, with the venue name, metro or country region, local government area, venue type and electronic gaming machine expenditure in dollars. The workbook covers three financial years and is replaced each year.
Also called: Victorian pokies losses by venue, Current gaming expenditure by venue, EGM expenditure by venue Victoria, Poker machine losses by pub and club.
Part of Electronic gaming machine expenditure by venue, Victoria, 2 tables the publisher releases together: Poker machine expenditure by venue, Victoria, 2008-09 to 2021-22.
- What does each row hold?
- One hotel or club venue with gaming machines and one financial year, with the venue's region, council area and type and the amount players lost on its machines in that year, in dollars. Each sheet of the publisher's workbook is one year, and its name is kept in the financial year column.
- What is expenditure?
- The commission defines gaming machine expenditure as the net amount players lost, which is the amount wagered less the winnings paid out. It is the venue's gaming revenue before tax.
- What is in the publisher's file that is not here?
- The workbook also splits each year into two half years and gives each venue's average number of machines. Those columns change name every year, so they are left out, and the half years add up to the year's figure. The row with no venue name is the publisher's total for the state, kept as published. The Melbourne casino is not in the data.
Made for agents
Connect your AI agent
Any agent that connects to publicdata.au/mcp can find this dataset, read its 6 fields, count and filter across all 1,478 rows and diff its versions. Every answer names the version and carries VGCCC's attribution. No key.
Then ask it: What does Poker machine expenditure by venue, Victoria, last three years hold, and what changed in the newest version?
claude mcp add --transport http publicdata https://publicdata.au/mcpOne 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/mcpStreamable 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=lga_name&metric=sum.expenditure&financial_year=eq.Detail%20Data%202024%20-%202025®ion=neq.Total
Poker machine losses ($) by council area where financial year (sheet) is Detail Data 2024 - 2025 and region is not Total: 175,897,780 City of Brimbank, 166,564,428 City of Casey, 147,909,964 City of Hume, 144,263,922 City of Whittlesea.
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.
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-gaming-expenditure-by-venue/latest/ redirects to the newest version.
https://publicdata.au/d/vic-gaming-expenditure-by-venue/latest/data.csvIn 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/vic-gaming-expenditure-by-venue/latest/data.csvIn 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("vic-gaming-expenditure-by-venue")
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("vic-gaming-expenditure-by-venue")
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/vic-gaming-expenditure-by-venue/v/2025-08-26/data.duckdb' AS vic_gaming_expenditure_by_venue (READ_ONLY);
SELECT lga_name, count(*) FROM vic_gaming_expenditure_by_venue.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/vic-gaming-expenditure-by-venue/aggregate?group=lga_name&metric=sum.expenditure&financial_year=eq.Detail%20Data%202024%20-%202025®ion=neq.Total");
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.
| Field | Type | Publisher's header | Note |
|---|---|---|---|
| financial_year | string | (sheet) | The publisher's sheet name, for example Detail Data 2024 - 2025. |
| venue | string | (row header 1) | The venue's name in capitals. Blank on the publisher's state total row. |
| region | string | (row header 2) | Metro or Country. |
| lga_name | string | (row header 3) | |
| venue_type | string | (row header 4) | Hotel or Club. |
| expenditure | number | (cell) | The net amount lost by players on the venue's gaming machines in the financial year, in dollars. |
Download this table as a data dictionary (Excel), or read it as a Frictionless Table Schema at schema.json.
A sample of 10 rows
The ten venues where players lost the most in the newest financial year, largest first. A blank cell is shown as null.
| financial_year | venue | region | lga_name | venue_type | expenditure |
|---|---|---|---|---|---|
| Detail Data 2024 - 2025 | PLOUGH HOTEL | Metro | City of Whittlesea | Hotel | 26248159.79 |
| Detail Data 2024 - 2025 | SKYWAYS TAVERNER | Metro | City of Moonee Valley | Hotel | 26026192.34 |
| Detail Data 2024 - 2025 | BUNDOORA TAVERNER | Metro | City of Whittlesea | Hotel | 25627461.89 |
| Detail Data 2024 - 2025 | EPPING PLAZA HOTEL | Metro | City of Whittlesea | Hotel | 25347217.87 |
| Detail Data 2024 - 2025 | KEALBA HOTEL | Metro | City of Brimbank | Hotel | 25075271.06 |
| Detail Data 2024 - 2025 | GLADSTONE PARK HOTEL | Metro | City of Hume | Hotel | 24547920.81 |
| Detail Data 2024 - 2025 | KEYSBOROUGH HOTEL | Metro | City of Greater Dandenong | Hotel | 24109336.04 |
| Detail Data 2024 - 2025 | WEST WATERS HOTEL | Metro | Shire of Melton | Hotel | 23884257.69 |
| Detail Data 2024 - 2025 | ROXBURGH PARK HOTEL | Metro | City of Hume | Hotel | 23438678.68 |
| Detail Data 2024 - 2025 | BERWICK SPRINGS HOTEL | Metro | City of Casey | Hotel | 22398230.84 |
The first row as JSON
As it appears in data.json.
GET https://publicdata.au/d/vic-gaming-expenditure-by-venue/latest/data.json
{
"financial_year": "Detail Data 2024 - 2025",
"venue": "ABRUZZO CLUB",
"region": "Metro",
"lga_name": "City of Moreland",
"venue_type": "Club",
"expenditure": 2235440.1
}
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.
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.
By council area
One page for each council area, with its own count, chart and files. The rows are the same rows as this table.
- Borough of Queenscliffe3
- City of Ballarat42
- City of Banyule27
- City of Bayside15
- City of Boroondara12
- City of Brimbank45
- City of Casey39
- City of Darebin36
- City of Frankston27
- City of Glen Eira31
- City of Greater Bendigo33
- City of Greater Dandenong44
- City of Greater Geelong75
- City of Greater Shepparton24
- City of Hobsons Bay27
- City of Hume42
- City of Kingston48
- City of Knox33
- City of Latrobe39
- City of Manningham20
- City of Maribyrnong27
- City of Maroondah28
- City of Melbourne31
- City of Monash45
- City of Moonee Valley33
- City of Moreland36
- City of Port Phillip30
- City of Stonnington15
- City of Warrnambool24
- City of Whitehorse18
- City of Whittlesea30
- City of Wyndham41
- City of Yarra23
- Rural City of Ararat6
- Rural City of Benalla9
- Rural City of Horsham9
- Rural City of Mildura24
- Rural City of Swan Hill12
- Rural City of Wangaratta12
- Rural City of Wodonga9
- Shire of Alpine6
- Shire of Bass Coast15
- Shire of Baw Baw12
- Shire of Campaspe12
- Shire of Cardinia18
- Shire of Central Goldfields6
- Shire of Colac-Otway15
- Shire of Corangamite6
- Shire of East Gippsland30
- Shire of Gannawarra3
- Shire of Glenelg12
- Shire of Hepburn6
- Shire of Macedon Ranges9
- Shire of Mansfield3
- Shire of Melton21
- Shire of Mitchell13
- Shire of Moira6
- Shire of Moorabool9
- Shire of Mornington Peninsula50
- Shire of Mount Alexander3
- Shire of Murrindindi3
- Shire of Nillumbik6
- Shire of Northern Grampians6
- Shire of South Gippsland12
- Shire of Southern Grampians6
- Shire of Strathbogie3
- Shire of Surf Coast9
- Shire of Towong3
- Shire of Wellington21
- Shire of Yarra Ranges27
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.
- 2025-08-26 1,478 rows6 fieldsxlsx83e6adfcac73
versions.json · changes.json · history.tar.zst (24 KB, every version's Parquet and manifest)
Questions
How do I download Poker machine expenditure by venue, Victoria as a CSV file?
Open https://publicdata.au/d/vic-gaming-expenditure-by-venue/latest/data.csv. It redirects to the newest dated version, which is https://publicdata.au/d/vic-gaming-expenditure-by-venue/v/2025-08-26/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 Poker machine expenditure by venue, Victoria in Excel?
Yes. https://publicdata.au/d/vic-gaming-expenditure-by-venue/v/2025-08-26/data.xlsx is a workbook with the 1,478 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-gaming-expenditure-by-venue/v/2025-08-26/data.csv.gz is the CSV at about a tenth of the size.
What years does Poker machine expenditure by venue, Victoria cover?
The current version covers the years since 2022. Each release from VGCCC becomes a new dated version here, and earlier versions stay online.
How often is Poker machine expenditure by venue, Victoria updated?
VGCCC releases it yearly. This site checks the portal every week and adds a dated version when the file changes.
Can I use Poker machine expenditure by venue, Victoria 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 Poker machine expenditure by venue, Victoria?
No. The publisher is Victorian Gambling and Casino Control Commission, and its page is https://discover.data.vic.gov.au/dataset/current-gaming-expenditure-by-venue. 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 name?
Every version has one JSON file per value of lga_name, 71 files in the current version, listed with row counts at https://publicdata.au/d/vic-gaming-expenditure-by-venue/v/2025-08-26/by/lga_name/index.json. For example https://publicdata.au/d/vic-gaming-expenditure-by-venue/v/2025-08-26/by/lga_name/city-of-greater-geelong.json holds the 75 rows where lga_name is City of 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 Electronic gaming machine expenditure by venue, Victoria as 2 files at once, so all 2 tables here share a version date.