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Roadside stops on state roads, Tasmania

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Publisher Department of State GrowthUpdated irregularlyLicence CC BY 3.0 AULatest 2026-10-20Rows 81Fields 22

The Roadside Stops (State Owned) layer of the Department of State Growth, read from its map service. Each row is one roadside stop on the State Government road network, with its type, road, site name, location, direction, authority, access and the facilities the department records. The layer is held in GDA94 Map Grid of Australia zone 55, and the map service gives each point's longitude and latitude in WGS84.

Also called: Roadside Stops (State Owned), Tasmanian rest areas, Heavy vehicle parking areas Tasmania, Roadside lookouts Tasmania.

Before you use it
What is in each row?
One roadside stop on a Tasmanian state road, which the department types as a rest area, a heavy vehicle parking area or a roadside lookout. Each row has the road number and name, the site name and location, the direction of travel it serves, the authority, and whether the site has a car park, shelter, barbecue, toilet, rubbish bin, information sign, picnic area or playground.
How accurate are the locations?
The publisher's metadata says the stops were placed from a road asset spreadsheet and then moved to their actual positions using the orthophoto, topographic and cadastre layers of the Land Information System Tasmania, and that they are within 50 metres of the true position 90 per cent of the time.
81 roadside stops drawn in 53 cells of 0.05 degrees, the fullest with 4.
Roadside stops counted in cells of 0.05 degrees. State outlines from the ABS Australian Statistical Geography Standard 2021, CC BY 4.0.
81roadside stops
22fields
11formats
1version

Made for agents

Connect your AI agent

Any agent that connects to publicdata.au/mcp can find this dataset, read its 22 fields, count and filter across all 81 rows and diff its versions. Every answer names the version and carries State Growth's attribution. No key.

Then ask it: What does Roadside stops on state roads, Tasmania 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 8 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 keeps its content.

Format
"Latest" redirects to the newest version and will change when the publisher releases again. A dated version keeps its content.
https://publicdata.au/d/tas-roadside-stops/latest/data.xlsx
Download this file

One workbook with a records sheet of 81 typed rows, a fields sheet and a publicdata sheet with the provenance. Dates are real Excel dates. Opens in Excel, Numbers, LibreOffice and Sheets.

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/tas-roadside-stops/latest/ redirects to the newest version.

https://publicdata.au/d/tas-roadside-stops/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
objectidintegerOBJECTIDThe layer's row number, the only identifier it fills for every stop.
longitudenumber(longitude)
latitudenumber(latitude)
typestringTYPE
road_nostringROAD_NO
road_namestringROAD_NAME
site_namestringSITE_NAME
locationstringLOCATION
directionstringDIRECTION
authoritystringAUTHORITY
accessstringACCESS_
car_parkbooleanCAR_PARK
shelterstringSHELTER
bbqbooleanBBQ
toiletbooleanTOILET
rubbish_binbooleanRUBBISH_BIN
info_signbooleanINFO_SIGN
picnic_areabooleanPICNIC_AREA
play_groundbooleanPLAY_GROUND
commentsstringCOMMENTS
placedintegerPLACED
accuracyintegerACCURACY

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

The first 10 rows

From the latest version, in the publisher's order, with every field. A blank cell is shown as null.

objectidlongitudelatitudetyperoad_noroad_namesite_namelocationdirectionauthorityaccesscar_parkshelterbbqtoiletrubbish_bininfo_signpicnic_areaplay_groundcommentsplacedaccuracy
1147.262810294-42.4123270226Heavy Vehicle Parking AreasA0087Midland HighwaynullSpringhillSouthboundState GrowthnulltrueNfalsefalsefalsefalsefalsefalsenull1null
2147.261561797-42.4070505077Heavy Vehicle Parking AreasA0087Midland HighwaynullSpringhillNorthboundState GrowthnulltrueNfalsefalsefalsefalsefalsefalsenull1null
3147.390566189-42.2790488588Heavy Vehicle Parking AreasA0087Midland HighwaynullSt Peter's PassNorthboundState GrowthnulltrueNfalsefalsefalsefalsefalsefalsenull1null
4147.390969711-42.2784017189Heavy Vehicle Parking AreasA0087Midland HighwaynullSt Peter's PassSouthboundState GrowthnulltrueNfalsefalsefalsefalsefalsefalsenull1null
5147.467075528-41.8842376241Heavy Vehicle Parking AreasA0087Midland HighwaynullCampbell Town WeighbridgeSouthboundState GrowthnulltrueNfalsefalsefalsefalsefalsefalsenull1null
6147.490004851-42.8314973784Heavy Vehicle Parking AreasA0113Tasman HighwaynullAirportEastboundState GrowthnulltrueNfalsefalsefalsefalsefalsefalsenull1null
7147.154778622-42.9770075412Heavy Vehicle Parking AreasA0168Huon HighwaynullVinces SaddleSouthboundState GrowthnulltrueNfalsefalsefalsefalsefalsefalsenull1null
8147.157280148-42.9758153272Heavy Vehicle Parking AreasA0168Huon HighwaynullVinces SaddleNorthboundState GrowthnulltrueNfalsefalsefalsefalsefalsefalsenull1null
9147.309986513-42.9470830384Heavy Vehicle Parking AreasA0171Southern Outlet HwynullNear KingstonNorthboundState GrowthnulltrueNfalsefalsefalsefalsefalsefalsenull1null
10147.312462779-42.9584443667Heavy Vehicle Parking AreasA0171Southern Outlet HwynullNear KingstonSouthboundState GrowthnulltrueNfalsefalsefalsefalsefalsefalsenull1null
The first row as JSON

As it appears in data.json.

GET https://publicdata.au/d/tas-roadside-stops/latest/data.json
{
  "objectid": 1,
  "longitude": 147.26281029425613,
  "latitude": -42.41232702263567,
  "type": "Heavy Vehicle Parking Areas",
  "road_no": "A0087",
  "road_name": "Midland Highway",
  "site_name": null,
  "location": "Springhill",
  "direction": "Southbound",
  "authority": "State Growth",
  "access": null,
  "car_park": true,
  "shelter": "N",
  "bbq": false,
  "toilet": false,
  "rubbish_bin": false,
  "info_sign": false,
  "picnic_area": false,
  "play_ground": false,
  "comments": null,
  "placed": 1,
  "accuracy": 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 that like and ilike ignore case in the ASCII letters A to Z. 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, ignoring case in the ASCII letters A to Z.
ilike.*text*The same as like. Both ignore case in ASCII letters only, so É and é differ.
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. When absent, rows come in the order of the file they are read from. For the newest versions that is the version's own data.parquet, which keeps the publisher's order unless the dataset sorted it. Any other version is read from the Parquet file the answer names in file, and when that file is sorted the answer names its sort in order, which ties follow too.
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 version, and that answer changes when the publisher releases again. Put versions/<date>/ before rows or aggregate for an answer from that version alone. Every version with a table can be queried, and /api/v1/datasets/<slug>/versions lists them. A query on a version the database does not hold is read from its Parquet file, and one that would read too much of it is refused with DuckDB SQL that answers it from the file. 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. Its row tools and the query API answer every version through one query path, so a tool's answer and the query URL it cites give the same rows. A query that would read too much of a file is refused with DuckDB SQL that answers it from the file. It also has search and fetch, the two tools ChatGPT's deep research and company knowledge call by name, which run search_datasets and read a dataset's record in the shapes those features expect. 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 dataset with a table 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.

  • 2026-10-20
    81 rows22 fieldsutf-8-sig921f3d39dc04

    The publisher's server states no change date, so this version is dated by the fetch.

versions.json · changes.json · history.tar.zst (9.1 KB, every version's Parquet and manifest)

Questions

How do I download Roadside stops on state roads as a CSV file?

Open https://publicdata.au/d/tas-roadside-stops/latest/data.csv. It redirects to the newest dated version, which is https://publicdata.au/d/tas-roadside-stops/v/2026-10-20/data.csv today. The same path serves Excel, JSON, GeoJSON, Parquet, SQLite, DuckDB, GeoPackage, GeoParquet, NDJSON. A dated URL never changes, so use it when the file must stay the same.

Can I open Roadside stops on state roads in Excel?

Yes. https://publicdata.au/d/tas-roadside-stops/v/2026-10-20/data.xlsx is a workbook with the 81 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/tas-roadside-stops/v/2026-10-20/data.csv.gz is the CSV at about a tenth of the size.

How often is Roadside stops on state roads updated?

State Growth releases it irregularly. This site checks the portal every week and adds a dated version when the file changes.

Can I use Roadside stops on state roads 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 Roadside stops on state roads?

No. The publisher is Department of State Growth, and its page is https://data.thelist.tas.gov.au/datagn/srv/eng/xml.metadata.get?uuid=40bf6146-be5c-4276-8997-bf4549f3c6aa. National Digital converted the publisher's file to other formats. It renamed and typed the columns and kept only those the schema lists. National Digital made these changes, and the publisher is not responsible for them. The original sits beside every version as source.geojson with its SHA-256, so the two can be compared.

What coordinate system does Roadside stops on state roads use?

Longitude and latitude in WGS84 (EPSG:4326), as the map service projects them on request. The layer's own coordinates are GDA94 Map Grid of Australia zone 55. The GeoJSON file uses the same coordinates, which is what GeoJSON expects.

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.geojson 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.

Roadside Stops (State Owned) from www.theLIST.tas.gov.au © State of Tasmania, Department of State Growth, sourced 19 October 2026, https://data.thelist.tas.gov.au/datagn/srv/eng/catalog.search#/metadata/40bf6146-be5c-4276-8997-bf4549f3c6aa, licensed under CC BY 3.0 AU. Serialised and versioned by National Digital at publicdata.au, https://publicdata.au/d/tas-roadside-stops/v/2026-10-20/

The map's state outlines are from the ABS Australian Statistical Geography Standard 2021, under CC BY 4.0.

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 State Growth states the licence, CC BY 3.0 AU, on its own page, which was read and recorded here on 18 October 2026.

Every fetch reads the licence again and stops when it has changed. The fetch that made version 2026-10-20 read it from data.thelist.tas.gov.au on 19 October 2026.

Also published on
  • Hugging Faceload_dataset("National-Digital/tas-roadside-stops")
  • Kagglewith a starter notebook
  • ZenodoDOI 10.5281/zenodo.23486174

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

For agents and tools

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

Source

Department of State Growth publishes this table on data.stategrowth.tas.gov.au. Questions about the content go to the publisher. Questions about the files here go to corrections.

Fetched 19 October 2026. Source SHA-256 921f3d39dc04c6df…

Improve this dataset

This page is built from register/tas-roadside-stops.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