Mineral production by commodity, Northern Territory, 2010-11 to 2018-19
liveAnnual mineral production statistics for the Northern Territory, from the production returns operators lodge under the Territory's mining legislation. Each row is one commodity in one financial year, under the publisher's group (Metallic Minerals, Gemstones, Non-Metallic Minerals or Energy Minerals), with its unit of quantity, quantity produced, quantity sold and the amount paid for the quantity sold. The nine annual workbooks from 2010-11 to 2018-19 are read as one table.
Also called: Northern Territory mining production statistics, NT mineral production statistics, Northern Territory mineral production by commodity.
- What is in each row?
- One commodity in one financial year, with its unit and the quantity produced, the quantity sold and the amount paid for the quantity sold in Australian dollars, from the production returns that operators lodge under the Territory's mining legislation. The group is the publisher's heading, such as Metallic Minerals.
- Which licence applies?
- The portal states Creative Commons Attribution without a version. The Northern Territory Department of Corporate and Digital Development confirmed in writing on 5 October 2026 that, under the Northern Territory Government's Creative Commons Policy, this series is released under CC BY 4.0.
- What are the rows that end in Value?
- The publisher's totals. Metallic Minerals Value, Gemstones Value and Non-Metallic Minerals Value total their groups, and Total Minerals Value totals every group; the workbooks place it last, so it sits under Energy Minerals. They carry only an amount, so a sum over every row counts each dollar twice.
- What does the note number mean?
- The number of the explanatory note the publisher attached to the commodity that year. The notes are in each year's workbook. They say, among other things, that alumina and alumina hydrate are derived from bauxite, that gold excludes the gold in gold dore, and that some non-metallic values are estimated from average prices. The same commodity can carry a different number in another year.
- Can the years be compared with earlier figures?
- Not directly. On 1 July 2009 the Territory began to value production as the amount actually paid for the quantity sold, where it had estimated the value of the quantity produced. This series starts after that change, in 2010-11.
- Why does the series stop in 2018-19?
- The workbooks for 2010-11 to 2018-19 are the ones the portal holds under this licence. The files are kept on a departmental host that turns automated clients away, so they were downloaded by a person, and the weekly fetch checks the portal's records for any change.
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 213 rows and diff its versions. Every answer names the version and carries Mining and Energy's attribution. No key.
Then ask it: What does Mineral production by commodity, Northern Territory, 2010-11 to 2018-19 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=financial_year&metric=count&group=eq.Metallic%20Minerals
Commodity years by financial year where group is Metallic Minerals: 12 2014-15, 12 2015-16, 11 2010-11, 11 2011-12.
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/nt-mineral-production/latest/ redirects to the newest version.
https://publicdata.au/d/nt-mineral-production/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/nt-mineral-production/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("nt-mineral-production")
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("nt-mineral-production")
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/nt-mineral-production/v/2019-11-06/data.duckdb' AS nt_mineral_production (READ_ONLY);
SELECT group, count(*) FROM nt_mineral_production.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/nt-mineral-production/aggregate?group=financial_year&metric=count&group=eq.Metallic%20Minerals");
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 | (file) | July to June, such as 2018-19. |
| group | string | Group | |
| commodity | string | Commodity | As the publisher names it, without the note number. A few names change over the years, such as Zinc/Lead Concentrate becoming Zinc Lead Concentrate. |
| unit | string | Unit of Quantity | Tonnes, grams, carats or kilograms. Blank on the totals. |
| quantity_produced | number | Quantity Produced | |
| quantity_sold | number | Quantity Sold | |
| amount_sold_aud | number | $ Amount for Quantity Sold | The gross amount paid to the operator for the quantity sold, in Australian dollars. |
| note | string | Note | The number of the publisher's explanatory note on this commodity in that year's workbook. |
Download this table as a data dictionary (Excel), or read it as a Frictionless Table Schema at schema.json. The key is financial_year, group, commodity.
A sample of 10 rows
From the latest version, each group in turn, then in the publisher's order, with every field. A blank cell is shown as null.
| financial_year | group | commodity | unit | quantity_produced | quantity_sold | amount_sold_aud | note |
|---|---|---|---|---|---|---|---|
| 2017-18 | Energy Minerals | Total Minerals Value | null | null | null | 4489818132 | null |
| 2018-19 | Gemstones | Diamonds | Carats | 2844 | 2951 | 623032 | null |
| 2015-16 | Metallic Minerals | Alumina | Tonnes | 0 | 0 | 0 | 7 |
| 2010-11 | Non-Metallic Minerals | Crushed Rock | Tonnes | 1089311.17 | 932982.8 | 22608095 | null |
| 2011-12 | Energy Minerals | Total Minerals Value | null | null | null | 2890335671.17 | null |
| 2017-18 | Gemstones | Diamonds | Carats | 754 | 4494 | 656494 | null |
| 2014-15 | Metallic Minerals | Alumina | Tonnes | 0 | 27500 | 8601340 | 7 |
| 2018-19 | Non-Metallic Minerals | Crushed Rock | Tonnes | 1323443 | 1091181 | 25966841 | null |
| 2012-13 | Energy Minerals | Total Minerals Value | null | null | null | 3135266771.94 | null |
| 2017-18 | Gemstones | Gemstones | Carats | 0 | 0 | 0 | null |
The first row as JSON
As it appears in data.json.
GET https://publicdata.au/d/nt-mineral-production/latest/data.json
{
"financial_year": "2017-18",
"group": "Energy Minerals",
"commodity": "Total Minerals Value",
"unit": null,
"quantity_produced": null,
"quantity_sold": null,
"amount_sold_aud": 4489818132.0,
"note": null
}
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 group (4 files)
by/group/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.
- 2019-11-06 213 rows8 fieldsutf-82d3c65167930The publisher offers the series as one file per period. These bytes are every row of every file as one table, ordered by every column, with a row that appears in two files kept once; the manifest counts the files and the repeated rows.
versions.json · changes.json · history.tar.zst (8.6 KB, every version's Parquet and manifest)
Questions
How do I download Mineral production by commodity, Northern Territory as a CSV file?
Open https://publicdata.au/d/nt-mineral-production/latest/data.csv. It redirects to the newest dated version, which is https://publicdata.au/d/nt-mineral-production/v/2019-11-06/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 Mineral production by commodity, Northern Territory in Excel?
Yes. https://publicdata.au/d/nt-mineral-production/v/2019-11-06/data.xlsx is a workbook with the 213 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/nt-mineral-production/v/2019-11-06/data.csv.gz is the CSV at about a tenth of the size.
What years does Mineral production by commodity, Northern Territory cover?
The current version covers the years since 2010. Each release from Mining and Energy becomes a new dated version here, and earlier versions stay online.
How often is Mineral production by commodity, Northern Territory updated?
Mining and Energy no longer updates it. This site checks the portal every week and adds a dated version when the file changes.
Can I use Mineral production by commodity, Northern Territory 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 Mineral production by commodity, Northern Territory?
No. The publisher is Department of Mining and Energy, and its page is https://data.nt.gov.au/dataset/mineral-production-statistics-2018-19. 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 group?
Every version has one JSON file per value of group, 4 files in the current version, listed with row counts at https://publicdata.au/d/nt-mineral-production/v/2019-11-06/by/group/index.json. For example https://publicdata.au/d/nt-mineral-production/v/2019-11-06/by/group/metallic-minerals.json holds the 98 rows where group is Metallic Minerals.
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.