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Datasets / Queensland / OLGR / Gaming machine and gambling data from Queensland

Gaming machine data by SA2, Queensland

live
Publisher Office of Liquor and Gaming RegulationUpdated monthlyLicence CC BY 4.0Latest 2026-09-16Rows 49,915Fields 7

One row per ABS Statistical Area 2 per month from October 2016, with the venues approved and operating electronic gaming machines, the machines approved and operating on the last day of the month, and the metered win in dollars. The metered win is withheld for many areas and is kept as suppressed. Areas are ASGS 2011 SA2 names.

Also called: Queensland pokies data by area, Queensland gaming machine metered win by SA2, OLGR gaming machine data by statistical area 2.

Part of Gaming machine and gambling data from Queensland, 7 tables the publisher releases together: Gaming machine data by SA4, Queensland, Gaming machine data for clubs, Queensland, Gaming machine data for hotels, Queensland, Gaming machine data, Queensland totals, Gambling expenditure by stream, Queensland, Gaming venues by number of machines, Queensland.

Before you use it
What is in each row?
One ABS Statistical Area 2 in one month, with the number of venues approved and operating, the number of gaming machines approved and operating, and the metered win, which is the amount players lost on the machines.
Why is the metered win blank for many areas?
The publisher marks the metered win Not Released for an area in a month when it does not publish the figure. It is kept as a null with a suppressed flag. The venue and machine counts are still given.
Which SA2 boundaries are used?
The publisher says it uses the areas of the Australian Statistical Geography Standard 2011. The areas are named, with no code.
49,915area months
2017 to 2025years drawn
7fields
9formats
1version
0501001502017: 101.920172018: 101.72019: 101.120192020: 99.22021: 98.820212022: 99.12023: 98.820232024: 98.32025: 98.82025
Average operating machines in an area in a month per year, 2017 to 2025. 2016 is not drawn because the rows begin on 1 October 2016. 2026 is not drawn because the rows run to 1 August 2026. The figure is an average of the operating machines column from version 2026-09-16, worked out in the build. Nothing else is added.
Open this dashboard in the explorerDownloadQuery

Made for agents

Connect your AI agent

Any agent that connects to publicdata.au/mcp can find this dataset, read its 7 fields, count and filter across all 49,915 rows and diff its versions. Every answer names the version and carries OLGR's attribution. No key.

Then ask it: What does Gaming machine data by SA2, Queensland 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.

ExploreChart every row in your browser

The dashboard above, live. Click to filter, add panels, share a link or embed a frame.

Query APIFilter and count from a URL

aggregate?group=sa2_region&metric=sum.operational_egms&month=eq.2026-08-01

Operating gaming machines in each area in the newest month: 830 SOUTHPORT - NORTH, 731 TOOWOOMBA - CENTRAL, 524 MAROOCHYDORE - KULUIN, 467 CALOUNDRA - KINGS BEACH.

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/qld-gaming-machines-by-sa2/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/qld-gaming-machines-by-sa2/latest/ redirects to the newest version.

https://publicdata.au/d/qld-gaming-machines-by-sa2/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
monthdateMonth YearFirst day of the month the figures are for.
sa2_regionstringSA2 RegionABS Statistical Area 2 name (ASGS 2011), in capitals as published.
approved_sitesintegerApproved SitesVenues approved to operate electronic gaming machines.
operational_sitesintegerOperational SitesVenues operating gaming machines on the last day of the month.
approved_egmsintegerApproved EGMsThe most electronic gaming machines the venues are approved to operate.
operational_egmsintegerOperational EGMsElectronic gaming machines operating on the last day of the month.
metered_winnumberMetered Win $The amount players lost on the machines in the month, in dollars. Suppressed where the publisher shows Not Released.
suppressedarrayNames of the fields the publisher suppressed in this row. The cells are null.

Download this table as a data dictionary (Excel), or read it as a Frictionless Table Schema at schema.json. The key is month, sa2_region.

A sample of 10 rows

The ten areas where players lost the most on gaming machines in the newest month, largest first. Areas whose amount the publisher withholds are left out. A blank cell is shown as null.

monthsa2_regionapproved_sitesoperational_sitesapproved_egmsoperational_egmsmetered_win
2026-08-01SOUTHPORT - NORTH779348307506546.83
2026-08-01TOOWOOMBA - CENTRAL14148587315097543.52
2026-08-01MAROOCHYDORE - KULUIN775375244217449.17
2026-08-01CALOUNDRA - KINGS BEACH775364673523702.09
2026-08-01MOUNT ISA663983903466445.6
2026-08-01CAIRNS CITY1084022782842446.54
2026-08-01GLADSTONE773463232783947.85
2026-08-01BRIBIE ISLAND774644362752864.42
2026-08-01MERMAID BEACH - BROADBEACH11104343682712545.82
2026-08-01TOWNSVILLE CITY - NORTH WARD764343222624063.01
The first row as JSON

As it appears in data.json.

GET https://publicdata.au/d/qld-gaming-machines-by-sa2/latest/data.json
{
  "month": "2016-10-01",
  "sa2_region": "AGNES WATER - MIRIAM VALE",
  "approved_sites": 4,
  "operational_sites": 3,
  "approved_egms": 48,
  "operational_egms": 36,
  "metered_win": null,
  "suppressed": [
    "metered_win"
  ]
}

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.

By sa2 area

One page for each sa2 area, with its own count, chart and files. The rows are the same rows as this table.

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.

  • 2026-09-16
    49,915 rows7 fieldsutf-8-sige5c74fadb408

versions.json · changes.json · history.tar.zst (122 KB, every version's Parquet and manifest)

Questions

How do I download Gaming machine data by SA2 as a CSV file?

Open https://publicdata.au/d/qld-gaming-machines-by-sa2/latest/data.csv. It redirects to the newest dated version, which is https://publicdata.au/d/qld-gaming-machines-by-sa2/v/2026-09-16/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 Gaming machine data by SA2 in Excel?

Yes. https://publicdata.au/d/qld-gaming-machines-by-sa2/v/2026-09-16/data.xlsx is a workbook with the 49,915 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/qld-gaming-machines-by-sa2/v/2026-09-16/data.csv.gz is the CSV at about a tenth of the size.

What years does Gaming machine data by SA2 cover?

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

How often is Gaming machine data by SA2 updated?

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

Can I use Gaming machine data by SA2 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 Gaming machine data by SA2?

No. The publisher is Office of Liquor and Gaming Regulation, and its page is https://www.data.qld.gov.au/dataset/gaming-machine-data-by-statistical-area-2. This site republishes the publisher's file without changing its content. The original sits beside every version as source.csv with its SHA-256, so the two can be compared.

How do I get only the rows for one sa2 region?

Every version has one JSON file per value of sa2_region, 432 files in the current version, listed with row counts at https://publicdata.au/d/qld-gaming-machines-by-sa2/v/2026-09-16/by/sa2_region/index.json. For example https://publicdata.au/d/qld-gaming-machines-by-sa2/v/2026-09-16/by/sa2_region/agnes-water-miriam-vale.json holds the 119 rows where sa2_region is AGNES WATER - MIRIAM VALE.

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.csv so the change can be checked.

The publisher releases Gaming machine and gambling data from Queensland as 7 files at once, so all 7 tables here share a version date.