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Mineral production by commodity, Northern Territory, 2010-11 to 2018-19

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Publisher Department of Mining and EnergyUpdated no longerLicence CC BY 4.0Latest 2019-11-06Rows 213Fields 8

Annual 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.

Before you use it
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.

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/nt-mineral-production/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/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.

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
financial_yearstring(file)July to June, such as 2018-19.
groupstringGroup
commoditystringCommodityAs the publisher names it, without the note number. A few names change over the years, such as Zinc/Lead Concentrate becoming Zinc Lead Concentrate.
unitstringUnit of QuantityTonnes, grams, carats or kilograms. Blank on the totals.
quantity_producednumberQuantity Produced
quantity_soldnumberQuantity Sold
amount_sold_audnumber$ Amount for Quantity SoldThe gross amount paid to the operator for the quantity sold, in Australian dollars.
notestringNoteThe 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_yeargroupcommodityunitquantity_producedquantity_soldamount_sold_audnote
2017-18Energy MineralsTotal Minerals Valuenullnullnull4489818132null
2018-19GemstonesDiamondsCarats28442951623032null
2015-16Metallic MineralsAluminaTonnes0007
2010-11Non-Metallic MineralsCrushed RockTonnes1089311.17932982.822608095null
2011-12Energy MineralsTotal Minerals Valuenullnullnull2890335671.17null
2017-18GemstonesDiamondsCarats7544494656494null
2014-15Metallic MineralsAluminaTonnes02750086013407
2018-19Non-Metallic MineralsCrushed RockTonnes1323443109118125966841null
2012-13Energy MineralsTotal Minerals Valuenullnullnull3135266771.94null
2017-18GemstonesGemstonesCarats000null
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.

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.

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-82d3c65167930
    The 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.