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Registered recreational vessels, Queensland, June 2020

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Publisher Department of Transport and Main RoadsUpdated irregularlyLicence CC BY 4.0Latest 2026-03-16Rows 259,552Fields 19

An extract of the Queensland recreational vessel register as at 30 June 2020 from the Department of Transport and Main Roads, one row per registered vessel. Each row has the postcode, suburb and state of the registered address, the registration category, term and purpose of use, the make, model, colour and body shape, length and draught, whether it has sails, and up to two engines. Commercial vessels are not included.

Also called: Queensland boat registrations, QLD recreational vessel register, Registered boats by suburb Queensland, Jet ski registrations Queensland.

Before you use it
What is in each row?
One recreational vessel on the Queensland register on 30 June 2020, with the postcode, suburb and state of its owner's address, its registration category, term and purpose of use, make, model, colour, body shape, length and draught in metres, whether it is fitted with sails, and the type, make and model of up to two engines. No registration mark or owner is included.
Are commercial vessels included?
No. The department's extract covers recreational vessels only.
How current is it?
The department states the extract is the register as at 30 June 2020, and the portal record was last changed in March 2026.

Made for agents

Connect your AI agent

Any agent that connects to publicdata.au/mcp can find this dataset, read its 19 fields, count and filter across all 259,552 rows and diff its versions. Every answer names the version and carries Transport and Main Roads's attribution. No key.

Then ask it: What does Registered recreational vessels, Queensland, June 2020 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/qld-vessel-registrations/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-vessel-registrations/latest/ redirects to the newest version.

https://publicdata.au/d/qld-vessel-registrations/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. Cells were typed and headers were made snake_case. Rows were left alone.

FieldTypePublisher's headerNote
postcodestringPOST_CODEPostcode of the registered address. Kept as text.
suburbstringSUBURB
statestringSTATE
registration_categorystringREG_CATEGORY
registration_termintegerREG_TERM
purpose_of_usestringPURPOSE_OF_USE
makestringMAKE
modelstringMODEL
colourstringCOLOUR
body_shapestringBODY_SHAPE
length_mnumberLENGTH
draught_mnumberDRAUGHT
fitted_with_sailsbooleanFITTED_WITH_SAILS
engine_1_typestringENGINE_1_TYPE
engine_1_makestringENGINE_1_MAKE
engine_1_modelstringENGINE_1_MODELOften the engine's power as the register records it, such as 150HP/111.8KW.
engine_2_typestringENGINE_2_TYPE
engine_2_makestringENGINE_2_MAKE
engine_2_modelstringENGINE_2_MODEL

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

A sample of 10 rows

Vessels with a Queensland address, in the publisher's order, with each body shape in turn. A blank cell is shown as null.

postcodesuburbstateregistration_categoryregistration_termpurpose_of_usemakemodelcolourbody_shapelength_mdraught_mfitted_with_sailsengine_1_typeengine_1_makeengine_1_modelengine_2_typeengine_2_makeengine_2_model
2406MUNGINDIQLDRec Speed boat12PRIVATEQUINTREXDARTSILVEROPEN/DINGHY/RUNABOUT3.750.2falseMARINE OUTBOARDYAMAHA20HP/14.9KWnullnullnull
4000BRISBANEQLDRec Motor boat12PRIVATEBODENKETCH YACHTWHITEFULL CABIN11.91.6trueMARINE INBOARDPERKINS40HP/29.8KWnullnullnull
4000BRISBANE CITYQLDRec Motor boat12PRIVATECOBALT263BLACKCUDDY (1/4) CABIN7.90.4falseMARINE INBOARDMERCRUISER375HP/279.6KWnullnullnull
4000BRISBANE CITYQLDRec Speed boat12PRIVATEHONDAF12XBLACKPERS W/CRAFT(JETSKI)3.40.4falseMARINE INBOARDHONDA165HP/123.KWnullnullnull
4000BRISBANE CITYQLDRec Speed boat12PRIVATEPRIVATE6.0MREDBOWRIDER60.3falseMARINE INBOARDBOMBARDIER185HP/138.0KWnullnullnull
4000BRISBANE CITYQLDRec Speed boat12PRIVATESVENSSON BOATS5.2MSILVERCENTRE CONSOLE5.20.4falseMARINE OUTBOARDYAMAHA100.5HP/75KWnullnullnull
4000SPRING HILLQLDRec Speed boat12PRIVATEHAINES HUNTER680SCWHITEHALF CABIN6.80.6falseMARINE OUTBOARDEVINRUDEnullnullnullnull
4005NEW FARMQLDRec Speed boat12PRIVATENAUTIGLASS149REDSPORTS BOAT/SKI BOAT4.90.4falseMARINE OUTBOARDMERCURY60HP/44.7KWnullnullnull
4895COOKTOWNQLDRec Speed boat12PRIVATEALLYACHT SPARSV-PUNTSILVERMARINE OUTBOARD4.10.6falseMARINE OUTBOARDMARINER8HP/5.9KWnullnullnull
4000BRISBANE CITYQLDRec Motor boat12PRIVATEBAVARIABAVARIA 36-2WHITEFULL CABIN11.41.6trueMARINE INBOARDVOLVO30HP/22.4KWnullnullnull
The first row as JSON

As it appears in data.json.

GET https://publicdata.au/d/qld-vessel-registrations/latest/data.json
{
  "postcode": "820",
  "suburb": "PARAP",
  "state": "NT",
  "registration_category": "Rec Motor boat",
  "registration_term": 12,
  "purpose_of_use": "PRIVATE",
  "make": "LIGHTWAVE",
  "model": "11.3M",
  "colour": "WHITE",
  "body_shape": "FULL CABIN",
  "length_m": 11.3,
  "draught_m": 1.2,
  "fitted_with_sails": true,
  "engine_1_type": "MARINE INBOARD",
  "engine_1_make": "VOLVO PENTA",
  "engine_1_model": "30HP/22.4KW",
  "engine_2_type": "MARINE INBOARD",
  "engine_2_make": "VOLVO PENTA",
  "engine_2_model": "30HP/22.4KW"
}

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 state (8 files)

by/state/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.

  • 2026-03-16
    259,552 rows19 fieldsutf-8-sigaad13bebfc26

versions.json · changes.json · history.tar.zst (2.1 MB, every version's Parquet and manifest)

Questions

How do I download Registered recreational vessels, Queensland as a CSV file?

Open https://publicdata.au/d/qld-vessel-registrations/latest/data.csv. It redirects to the newest dated version, which is https://publicdata.au/d/qld-vessel-registrations/v/2026-03-16/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 Registered recreational vessels, Queensland in Excel?

Yes. https://publicdata.au/d/qld-vessel-registrations/v/2026-03-16/data.xlsx is a workbook with the 259,552 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-vessel-registrations/v/2026-03-16/data.csv.gz is the CSV at about a tenth of the size.

How often is Registered recreational vessels, Queensland updated?

Transport and Main Roads releases it irregularly. This site checks the portal every week and adds a dated version when the file changes.

Can I use Registered recreational vessels, Queensland 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 Registered recreational vessels, Queensland?

No. The publisher is Department of Transport and Main Roads, and its page is https://www.data.qld.gov.au/dataset/vessel-registrations. 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 state?

Every version has one JSON file per value of state, 8 files in the current version, listed with row counts at https://publicdata.au/d/qld-vessel-registrations/v/2026-03-16/by/state/index.json. For example https://publicdata.au/d/qld-vessel-registrations/v/2026-03-16/by/state/qld.json holds the 258,585 rows where state is QLD.

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.