Each row is one financial year, written as 2008-09, with the number of passenger trips on Traveltrain long-distance rail services in each of its four quarters. Quarter 1 is July to September. The newest financial year leaves a quarter blank until the publisher reports it.

Datasets / Queensland / Transport and Main Roads

Traveltrain patronage by quarter, Queensland

Name: Traveltrain patronage by quarter, Queensland
Creator: Department of Transport and Main Roads
Published: 2025-04-29
License: https://creativecommons.org/licenses/by/3.0/au/

live

Publisher Department of Transport and Main RoadsUpdated irregularlyLicence CC BY 3.0 AULatest 2025-04-29Rows 17Fields 5

One row per financial year from 2008-09 with the number of passenger trips on Traveltrain services in each quarter, from the Department of Transport and Main Roads. Traveltrain is the state's long-distance passenger rail network. Each quarter is its own column, as the publisher lays it out, and quarter 1 is July to September.

Also called: Traveltrain service patronage quarterly, Queensland long distance train passenger numbers, Spirit of Queensland and Tilt Train patronage.

Before you use it

What is in each row?: Each row is one financial year, written as 2008-09, with the number of passenger trips on Traveltrain long-distance rail services in each of its four quarters. Quarter 1 is July to September. The newest financial year leaves a quarter blank until the publisher reports it.

Made for agents

Connect your AI agent

Any agent that connects to publicdata.au/mcp can find this dataset, read its 5 fields, count and filter across all 17 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 Traveltrain patronage by quarter, 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.

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.

ExploreChart every row in your browser

A dashboard over every row. Click to filter, add panels, share a link or embed a frame.

Query APIFilter and count from a URL

aggregate?group=year&metric=sum.quarter_1

Traveltrain passenger trips in the July to September quarter of each financial year, busiest first: 130,345 2008-09, 122,781 2011-12, 121,204 2010-11, 119,108 2009-10.

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

Version "Latest" redirects to the newest version and will change when the publisher releases again. A dated version never changes.

https://publicdata.au/d/qld-traveltrain-patronage/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-traveltrain-patronage/latest/ redirects to the newest version.

https://publicdata.au/d/qld-traveltrain-patronage/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-traveltrain-patronage/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-traveltrain-patronage")
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-traveltrain-patronage")
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-traveltrain-patronage/v/2025-04-29/data.duckdb' AS qld_traveltrain_patronage (READ_ONLY);
SELECT year, count(*) FROM qld_traveltrain_patronage.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-traveltrain-patronage/aggregate?group=year&metric=sum.quarter_1");
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
year	string	Year
quarter_1	integer	Quarter 1
quarter_2	integer	Quarter 2
quarter_3	integer	Quarter 3
quarter_4	integer	Quarter 4

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

A sample of 10 rows

The ten most recent financial years, newest first. A blank cell is shown as null.

year	quarter_1	quarter_2	quarter_3	quarter_4
2024-25	79259	85680	null	null
2023-24	83924	72019	65319	72717
2022-23	88465	92175	76326	84959
2021-22	60025	67078	42306	70593
2020-21	42326	44758	50396	63698
2019-20	93678	93482	72216	19620
2018-19	96590	93054	76770	87386
2017-18	84708	86299	78846	86867
2016-17	81912	78889	68411	76520
2015-16	85568	81948	73221	74359

The first row as JSON

As it appears in data.json.

GET https://publicdata.au/d/qld-traveltrain-patronage/latest/data.json
{
  "year": "2008-09",
  "quarter_1": 130345,
  "quarter_2": 123660,
  "quarter_3": 89574,
  "quarter_4": 103664
}

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.

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.

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.

2025-04-29
17 rows5 fieldsutf-8-sigb52ae1eb1d9a

versions.json · changes.json · history.tar.zst (3.8 KB, every version's Parquet and manifest)

Questions

How do I download Traveltrain patronage by quarter as a CSV file?

Open https://publicdata.au/d/qld-traveltrain-patronage/latest/data.csv. It redirects to the newest dated version, which is https://publicdata.au/d/qld-traveltrain-patronage/v/2025-04-29/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 Traveltrain patronage by quarter in Excel?

Yes. https://publicdata.au/d/qld-traveltrain-patronage/v/2025-04-29/data.xlsx is a workbook with the 17 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-traveltrain-patronage/v/2025-04-29/data.csv.gz is the CSV at about a tenth of the size.

What years does Traveltrain patronage by quarter cover?

The current version covers the years since 2008. Each release from Transport and Main Roads becomes a new dated version here, and earlier versions stay online.

How often is Traveltrain patronage by quarter 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 Traveltrain patronage by quarter commercially?

Yes. CC BY 3.0 AU 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 Traveltrain patronage by quarter?

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

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.

Attribution and citation

The licence requires the publisher's attribution. We ask that you also name publicdata.au and link to the version you used.

Department of Transport and Main Roads, Queensland Government, Traveltrain patronage, sourced 3 October 2026, https://www.data.qld.gov.au/dataset/traveltrain-patronage, licensed under CC BY 3.0 AU. Serialised and versioned by National Digital at publicdata.au, https://publicdata.au/d/qld-traveltrain-patronage/v/2025-04-29/

The attribution alone is inside every file. Harvard is the author-date form a report or a brief asks for. Paste the HTML on a web page so the links carry.

Licence record

Department of Transport and Main Roads states the licence, CC BY 3.0 AU, on its own page, which was read and recorded here on 1 October 2026.

Every fetch reads the licence again and stops when it has changed. The fetch that made version 2025-04-29 read it from www.data.qld.gov.au on 3 October 2026.

Also published on

Hugging Faceload_dataset("National-Digital/qld-traveltrain-patronage")
Kagglewith a starter notebook
ZenodoDOI 10.5281/zenodo.23122878

Each copy carries the same attribution and links back to this page.

For agents and tools

datapackage.jsonFrictionless data package pointing at the latest version
schema.jsonTable Schema for every field
schema.xlsxthe same field list as an Excel data dictionary
versions.jsonevery version with date, rows, fields and hash
changes.jsondiff for every consecutive pair
manifest.jsonwhere the bytes came from and when
Query APIfiltered rows and counts without a download
openapi.jsonOpenAPI 3.1 for this dataset's query paths
explore/charts and dashboards in the browser, shareable and embeddable
index.mdthis page as Markdown

This page carries a schema.org Dataset record and is listed in /.well-known/ard.json and /catalog.json.

Source

Department of Transport and Main Roads publishes this table on www.data.qld.gov.au. Questions about the content go to the publisher. Questions about the files here go to corrections.

Fetched 3 October 2026. Source SHA-256 b52ae1eb1d9a7643…

Improve this dataset

This page is built from register/qld-traveltrain-patronage.yaml on GitHub. Anyone can propose a fix to it, such as a clearer description or a field the publisher renamed, as a pull request.

Report a file that differs from the publisher's · How to contribute