Coal production by mine, Queensland
liveOne row per Queensland coal mine, financial year and coal type or activity from FY2010, with the mine type (open cut or underground) and the tonnes of discards, gross raw feed, gross raw output and net output reported to the department. This is the Coal production by mine sheet of the coal industry review statistical tables.
Also called: Queensland coal industry review statistical tables, Queensland coal mine output by financial year, Saleable coal production by mine Queensland.
Part of Queensland coal production and sales statistics, 4 tables the publisher releases together: Coal exports by mine and destination country, Queensland, Coal exports and sales value by country, Queensland, Saleable coal production by year and coal type, Queensland.
- What is in each row?
- Each row is one mine, one financial year and one coal type or activity, with the tonnes of discards, gross raw feed, gross raw output and net output the operator reported.
- What is net output?
- Net output is the saleable coal a mine produced after washing, in tonnes. Gross raw output is the coal mined before processing. A row usually carries a figure in only some of the four columns, and the rest are zero as published.
- Is the latest financial year complete?
- The publisher updates the tables during the year, so the newest financial year can be part of a year. The title row of the workbook gives the month it was updated.
Made for agents
Connect your AI agent
Any agent that connects to publicdata.au/mcp can find this dataset, read its 8 fields, count and filter across all 2,803 rows and diff its versions. Every answer names the version and carries Natural Resources and Mines's attribution. No key.
Then ask it: What does Coal production by mine, 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.
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=mine&metric=sum.net_output&financial_year=eq.FY2026
Saleable tonnes by mine where financial year is FY2026: 14,142,773 Rolleston Mine, 12,506,002 Goonyella Riverside And Broadmeadow Mine - Open Cut, 11,640,537 Carmichael Coal Mine, 11,104,797 Blackwater Mine.
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/qld-coal-production-by-mine/latest/ redirects to the newest version.
https://publicdata.au/d/qld-coal-production-by-mine/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/qld-coal-production-by-mine/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("qld-coal-production-by-mine")
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("qld-coal-production-by-mine")
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/qld-coal-production-by-mine/v/2026-09-17/data.duckdb' AS qld_coal_production_by_mine (READ_ONLY);
SELECT financial_year, count(*) FROM qld_coal_production_by_mine.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/qld-coal-production-by-mine/aggregate?group=mine&metric=sum.net_output&financial_year=eq.FY2026");
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 |
|---|---|---|---|
| mine | string | Mine | |
| mine_type | string | Mine Type | Open Cut or Underground. |
| financial_year | string | Financial year | As published, for example FY2025 for July 2024 to June 2025. |
| coal_type | string | Coal type | For example Coal, PCI, Coking, Thermal or Wash Discard. |
| discards | number | Discards | |
| gross_raw_feed | number | Gross Raw Feed | |
| gross_raw_output | number | Gross Raw Output | |
| net_output | number | Net output | Saleable coal, in tonnes. |
Download this table as a data dictionary (Excel), or read it as a Frictionless Table Schema at schema.json. The key is mine, financial_year, coal_type.
A sample of 10 rows
The ten mine and coal type lines with the most saleable coal in the newest financial year, largest first. A blank cell is shown as null.
| mine | mine_type | financial_year | coal_type | discards | gross_raw_feed | gross_raw_output | net_output |
|---|---|---|---|---|---|---|---|
| Rolleston Mine | Open Cut | FY2026 | Thermal | 0 | 0 | 0 | 14142773 |
| Goonyella Riverside And Broadmeadow Mine - Open Cut | Open Cut | FY2026 | Coking | 0 | 0 | 0 | 12074466 |
| Carmichael Coal Mine | Open Cut | FY2026 | Thermal | 0 | 0 | 0 | 11640537 |
| Blackwater Mine | Open Cut | FY2026 | Coking | 0 | 0 | 0 | 10452739 |
| Clermont Open Cut | Open Cut | FY2026 | Thermal | 0 | 0 | 0 | 9598883 |
| Callide Mine | Open Cut | FY2026 | Thermal | 0 | 0 | 0 | 9447697 |
| Caval Ridge | Open Cut | FY2026 | Coking | 0 | 0 | 0 | 9254443 |
| Saraji - Open Cut | Open Cut | FY2026 | Coking | 0 | 0 | 0 | 7638255 |
| Peak Downs | Open Cut | FY2026 | Coking | 0 | 0 | 0 | 7117735 |
| South Walker Creek | Open Cut | FY2026 | PCI | 0 | 0 | 0 | 6696613 |
The first row as JSON
As it appears in data.json.
GET https://publicdata.au/d/qld-coal-production-by-mine/latest/data.json
{
"mine": "Baralaba North Mine",
"mine_type": "Open Cut",
"financial_year": "FY2026",
"coal_type": "Coal",
"discards": 0.0,
"gross_raw_feed": 1584616.0,
"gross_raw_output": 1522893.0,
"net_output": 0.0
}
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.
Smaller files
The same rows split by a field, one JSON file each. Each file carries the same provenance header.
By financial_year (17 files)
by/financial_year/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.
- 2026-09-17 2,803 rows8 fieldsxlsxd71f3b9a6c9b
versions.json · changes.json · history.tar.zst (31 KB, every version's Parquet and manifest)
Questions
How do I download Coal production by mine as a CSV file?
Open https://publicdata.au/d/qld-coal-production-by-mine/latest/data.csv. It redirects to the newest dated version, which is https://publicdata.au/d/qld-coal-production-by-mine/v/2026-09-17/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 Coal production by mine in Excel?
Yes. https://publicdata.au/d/qld-coal-production-by-mine/v/2026-09-17/data.xlsx is a workbook with the 2,803 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-coal-production-by-mine/v/2026-09-17/data.csv.gz is the CSV at about a tenth of the size.
What years does Coal production by mine cover?
The current version covers the years since 2009. Each release from Natural Resources and Mines becomes a new dated version here, and earlier versions stay online.
How often is Coal production by mine updated?
Natural Resources and Mines releases it several times a year. This site checks the portal every week and adds a dated version when the file changes.
Can I use Coal production by mine 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 Coal production by mine?
No. The publisher is Department of Natural Resources and Mines, Manufacturing and Regional and Rural Development, and its page is https://www.data.qld.gov.au/dataset/coal-industry-review-statistical-tables. 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 financial year?
Every version has one JSON file per value of financial_year, 17 files in the current version, listed with row counts at https://publicdata.au/d/qld-coal-production-by-mine/v/2026-09-17/by/financial_year/index.json. For example https://publicdata.au/d/qld-coal-production-by-mine/v/2026-09-17/by/financial_year/fy2024.json holds the 203 rows where financial_year is FY2024.
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.
Queensland coal production and sales statistics is 4 tables here, and each takes its version date from its own file.