Geoscience Australia - Minerals Data

Datadory delivers Geoscience Australia minerals data covering the national AIMR assessment of reserves and resources across roughly 20 commodities, deposit-level GIS layers with coordinates, status and size classes - 406 copper deposits alone - plus annual exploration reviews back to 2009, delivered daily, weekly, or hourly.

geo
Australia at national, state and individual-deposit level; selected products extend to global mineral chemistry compilations
How far back
AIMR editions archived from 1983 onward; current vintage reports as at 31 December 2024; exploration reviews cover calendar years since 2009
How fine
Individual deposit/entity points per commodity layer (~20 layers), aggregating to commodity, state and national totals

What is the Geoscience Australia minerals data portfolio?

It is the official answer to the question every mining model eventually asks: how much metal does Australia actually have left, and where does it sit? Geoscience Australia, the Australian Government's national geoscience agency, maintains the country's mineral endowment record, and this consolidated record bundles the whole portfolio.

The anchor is Australia's Identified Mineral Resources (AIMR), published annually since 1983 - more than forty years of unbroken national assessments. The current edition reports estimates as at 31 December 2024, resolving the national endowment into Economic Demonstrated Resources and JORC-compliant Ore Reserves across all major and some minor commodities: antimony, bauxite, black coal, cobalt, copper, diamond, gold, graphite, iron ore and peers, roughly twenty commodity layers in total.

The same assessment exists as geography, not just tables. Per-commodity deposit layers carry every entity as a point with its state, operating status, deposit type, size class and coordinates - the copper layer alone holds 406 deposit features. Around the core sit companion products: the Australian Mineral Exploration Review (AMER), reading calendar-year drilling activity since 2009 off expenditure and metres drilled plus ASX maiden-resource announcements; critical minerals chemistry data; and a global mineral chemistry database built for critical-minerals research.

What do the sample rows look like?

Rows exactly as they arrive:

# one observation = one mineral deposit/entity within a commodity layer

dataset            : aimr_copper_layer
entity_id          : Abra
state              : WA
commodity          : Copper
current_status     : Deposit
units              : Mt
size_class         : <0.5
longitude          : 118.587279
latitude           : -24.643101

entity_id          : Altair
state              : WA
size_class         : <0.5
longitude          : 119.328772
latitude           : -27.045202

entity_id          : Andover
state              : WA
size_class         : <0.5
longitude          : 117.118200
latitude           : -20.854500

Read the shape, not just the values. One row is one place - a named deposit pinned to decimal degrees, carrying its commodity, its status and a banded size rather than a single tonnage figure. Because every commodity layer uses this identical grid, a copper point compares against an iron ore point without any re-keying, and filtering WA plus <0.5 returns the same three Western Australian deposits you see above.

Which fields does the dictionary define?

Ten documented columns carry the spine, and each is defined below. The design worth understanding before you build is that the deposit layer is self-describing: identifier, location, status, geology and citation travel on every row, so a point extracted into your warehouse never loses its provenance.

entity_id names the deposit and state fixes its jurisdiction - together they make any deposit addressable in one filter, whether the question is Western Australian copper or Queensland lead-zinc. currentstatus separates what is already an operating mine from what remains a deposit in the ground, which is the field that turns this from a map into a supply pipeline screen.

mineraldeposittype carries the geological classification where recorded and units travels with the measure, because tonnages and grades share these tables and no conversion should be guessed. longitude and latitude pin the centroid in decimal degrees, and source closes the loop with a citation naming the publication and dataset handle behind the row.

The dictionary below is the verified core. Field sets can vary slightly between commodity layers - additional fields fold under additional fields on request and get confirmed when we cut your sample.

Where does coverage run, and at what grain?

  • Geo: Australia at national, state and individual-deposit level - the deposit points are the point here, not something folded into an appendix. Selected products extend further, to global mineral chemistry compilations.
  • Temporal: AIMR editions are archived from 1983 onward, four decades of annual assessments; the current vintage reports as at 31 December 2024; AMER reads calendar-year activity since 2009.
  • Granularity: individual deposit/entity points per commodity layer, aggregating cleanly to commodity, state and national totals.

One structural note: because every deposit row carries both its status and its size band, the panel supports a bottom-up build of any supply story - operating-mine-first if today's production is your question, deposit-first if tomorrow's pipeline is - without leaving the same table.

How is the data delivered through Datadory?

API, files, or your warehouse. Daily, weekly, or hourly.

Pick the channel your stack already speaks and set the cadence to match the decision being fed. The annual assessment slots cleanly into overnight warehouse loads beside your production and price series; the GIS layers land as typed geometries ready to join on entity_id; the exploration reviews reward catching them the day they drop, because drilling-intensity shifts move the outlook narrative within weeks. Cadence changes are a settings conversation, not a re-integration project.

Every delivery ships with the full field dictionary and sample rows for validation, and the sibling products - gold resources detail, exploration reviews, chemistry compilations - ride the same channel once scoped rather than spawning a second pipeline.

Who builds on this dataset?

Ranked by how directly one row settles the day job:

  1. Metals and mining equity analysts. Reserve-and-resource tonnage by commodity beside deposit coordinates and operating status is the raw material of an Australian producer model - and the status flag tells you which entities belong in the mine-plan section and which stay in the optionality section.
  2. Exploration investors and strategists. The AMER layer turns drilling intensity into a dated read on sentiment, and the deposit layers show where the industry is choosing to spend it - a screening universe of 406 copper deposits alone, banded by size and pinned to jurisdiction.
  3. Critical-minerals planners and policy economists. A government assessment of who holds what, where, citable precisely because its author is the agency holding the national geoscientific record - the reference of choice when a critical-minerals strategy needs numbers no counterparty argues with.
  4. GIS and market-entry teams. Coordinates, size classes and deposit types arrive analysis-ready, so service territories, logistics corridors and jurisdiction risk overlays build on real points instead of province centroids.

Which personas get the most value?

Investors and quants get the Australian supply side as typed rows - reserves and resources by commodity with deposit-level coordinates and status flags, plus four decades of editions to test how estimates convert into mines. Market researchers and consultants get the Australia chapter of any report assembled from one consistent government assessment instead of stitched commercial summaries. Data scientists get a spatially explicit panel where identifiers, jurisdictions and citations travel in-band, so feature engineering starts at analysis instead of parsing map figures. Developers and builders get the same layers delivered on a cadence they set, with the schema held steady between editions.

What should you know before requesting a sample?

Three things, stated up front. First, respect the grain: this is an annual assessment, not a monthly market - the right tool for structural analysis, endowment ranking and citation, the wrong tool for intraday positioning, which belongs to a price feed paired alongside. Second, expect revision: each edition's figures revise in the following one, so a 31 December 2024 estimate is a snapshot that firms up next edition - build pipelines that re-pull rather than cache if your series touches the latest year. Third, the verified dictionary covers the ten core columns above; commodity layers can carry small field-set differences beyond them, so name the commodities you need when you scope the sample and we will confirm the exact column set before anything locks down in your pipeline.

Field dictionary

Every field below is documented against real records. The full dictionary ships with the sample.

Field dictionary - the core fields carried on Geoscience Australia-derived records
fieldtypedefinitionexample
entity_idstringName or identifier of the mineral deposit/entity within an AIMR commodity layer.Abra
statestringAustralian state or territory code where the deposit is located.WA
commoditystringPrimary commodity assessed at the entity.Copper
currentstatusstringOperating status of the deposit - Deposit or Operating mine.Deposit
mineraldeposittypestringGeological classification of the deposit type, where recorded.Sedimentary-hosted
unitsstringReporting unit for the resource tonnage or grade measure.Mt
size_stringBanded resource size class for the deposit.<0.5
longitudenumberDeposit centroid longitude in decimal degrees.118.587279
latitudenumberDeposit centroid latitude in decimal degrees.-24.643101
sourcetextCitation string identifying the source publication and dataset handle.Australia's Identified Mineral Resources 2025

Additional fields available on request

field groupwhat it adds
per-layer field extensionsCommodity-specific attributes carried on individual layers but not on the verified core - confirmed per commodity when the sample is scoped.
AIMR national tablesReserve and resource tonnages, grade context and year-on-year movements per commodity from the assessment's national tables, including world-ranking comparisons.
exploration review detailCalendar-year exploration expenditure, metres drilled and maiden-resource announcement counts from the AMER series back to 2009.
chemistry compilationsCritical-minerals chemistry records and the global mineral chemistry database joined onto the deposit layer for research use.

Questions buyers ask

What exactly does the Geoscience Australia minerals data portfolio contain?

One consolidated record bundling the agency's minerals output: Australia's Identified Mineral Resources, the annual national assessment of reserves and resources across roughly twenty commodities; per-commodity deposit-level GIS layers with status, deposit type, size class and coordinates; the Australian Mineral Exploration Review of calendar-year activity since 2009; critical minerals chemistry data; and a global mineral chemistry database.

How far back do Australian mineral resource estimates go?

Editions are archived from 1983 onward - more than four decades of annual national assessments. Each edition reports its own estimate date, with the current vintage stating reserves and resources as at 31 December 2024, so long-run trend work stitches edition to edition on the as-at stamp rather than assuming one continuous series.

What is the difference between Economic Demonstrated Resources and Ore Reserves?

Economic Demonstrated Resources are the geological endowment judged economic to produce under current assumptions; JORC Ore Reserves are the tighter subset that mining companies have converted through feasibility studies and reported under the JORC Code. The gap between the two is the conversion opportunity - the gold slice, for instance, shows resources of 12,955 tonnes against reserves of 4,785 tonnes.

Which commodities are covered?

All the majors and some minors: antimony, bauxite, black coal, cobalt, copper, diamond, gold, graphite and iron ore head the list, resolving into roughly twenty commodity layers. Each layer is a set of individual deposit points sharing one identical attribute grid, so any commodity compares against any other without transformation.

Does the data distinguish operating mines from undeveloped deposits?

Yes - the currentstatus field separates operating mines from deposits still sitting in the resource base. That makes the layer a two-sided map: where production happens today versus where future supply could come from. Screening status against size band and state is the standard way analysts cut a development pipeline by jurisdiction.

Can the deposit layers be joined to my own company or production data?

Yes. Every row carries an entity identifier, a state code and a citation string, so joining on identifier or matching on coordinates works without fuzzy logic. Name the join key you plan to use when requesting a sample and the sample arrives pre-tested against it.

Can I evaluate real records before committing?

Yes. Request a sample and Datadory ships actual rows from the commodity layers you name - deposits with coordinates, statuses and size classes exactly as they arrive in the feed - alongside the full field dictionary, so validation happens against the real thing before anything reaches your warehouse.

See the rows before you pay anything.

Name this dataset and we send real records from it — scoped to the fields you asked for.

See pricing