One bond lodged in November 2016, with the suburb and postcode of the rented home, the bond amount and weekly rent in dollars, the dates the bond was lodged and made active, the number of bedrooms, the dwelling type and the length of the tenancy in months.

Why is the number of bedrooms blank on some rows?

The publisher leaves it blank where it was not recorded, on 260 of the 1,368 bonds. The dwelling type reads UNSPECIFIED on 207 bonds, and 150 of those also have no bedroom count.

Is there a later month?

No. The department published November 2016 only. The series is closed.

Datasets / Tasmania / Justice Tasmania / Rental bonds, Tasmania, November 2016

Rental bonds lodged, Tasmania, November 2016

Name: Rental bonds lodged, Tasmania, November 2016
Creator: Department of Justice
Published: 2016-12-19
License: https://creativecommons.org/licenses/by/4.0/

live

Publisher Department of JusticeUpdated no longerLicence CC BY 4.0Latest 2016-12-19Rows 1,368Fields 10

The rental bonds lodged with the Rental Deposit Authority in November 2016, one row per bond. The publisher's sheet is named for active bonds, and 82 of them became active in early December. Each row carries the suburb, state and postcode of the rented home, the bond amount and weekly rent in dollars, the bond lodgement and activation dates, the number of bedrooms, the dwelling or premises type, and the length of the tenancy in months.

Also called: Rental Bond and Rental Data November 2016, Tasmanian rental bond lodgements, Tasmania weekly rents by suburb 2016.

Part of Rental bonds, Tasmania, November 2016, 2 tables the publisher releases together: Rental bonds closed, Tasmania, November 2016.

Before you use it

What is in each row?: One bond lodged in November 2016, with the suburb and postcode of the rented home, the bond amount and weekly rent in dollars, the dates the bond was lodged and made active, the number of bedrooms, the dwelling type and the length of the tenancy in months.
Why is the number of bedrooms blank on some rows?: The publisher leaves it blank where it was not recorded, on 260 of the 1,368 bonds. The dwelling type reads UNSPECIFIED on 207 bonds, and 150 of those also have no bedroom count.
Is there a later month?: No. The department published November 2016 only. The series is closed.

Made for agents

Connect your AI agent

Any agent that connects to publicdata.au/mcp can find this dataset, read its 10 fields, count and filter across all 1,368 rows and diff its versions. Every answer names the version and carries Justice Tasmania's attribution. No key.

Then ask it: What does Rental bonds lodged, Tasmania, November 2016 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=bedrooms&metric=avg.weekly_rent&bedrooms=gte.1&bedrooms=lte.5

Average weekly rent ($) by bedrooms where bedrooms is at least 1 and bedrooms is at most 5: 455.3 5, 349.0 4, 307.8 3, 262.8 2.

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/tas-rental-bonds-lodged-2016-11/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/tas-rental-bonds-lodged-2016-11/latest/ redirects to the newest version.

https://publicdata.au/d/tas-rental-bonds-lodged-2016-11/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/tas-rental-bonds-lodged-2016-11/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("tas-rental-bonds-lodged-2016-11")
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("tas-rental-bonds-lodged-2016-11")
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/tas-rental-bonds-lodged-2016-11/v/2016-12-19/data.duckdb' AS tas_rental_bonds_lodged_2016_11 (READ_ONLY);
SELECT dwelling_type, count(*) FROM tas_rental_bonds_lodged_2016_11.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/tas-rental-bonds-lodged-2016-11/aggregate?group=bedrooms&metric=avg.weekly_rent&bedrooms=gte.1&bedrooms=lte.5");
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. Cells were typed and headers were made snake_case. The publisher's header is kept beside every field in schema.json. Rows were left alone.

Field	Type	Publisher's header
suburb	string	Suburb
state	string	State
postcode	string	Postcode
bond_amount	number	Bond Amount
weekly_rent	number	Weekly Rent
lodgement_date	date	Bond Lodgement date (DD/MM/YYYY)
activation_date	date	Bond Activation date (DD/MM/YYYY)
bedrooms	integer	No of Bedrooms
dwelling_type	string	Dwelling/Premises Type
tenancy_months	integer	Length of Tenancy (In Months)

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

A sample of 10 rows

From the latest version, newest first by lodgement date, each dwelling type in turn, then in the publisher's order, with every field. A blank cell is shown as null.

suburb	state	postcode	bond_amount	weekly_rent	lodgement_date	activation_date	bedrooms	dwelling_type	tenancy_months
NEW TOWN	TAS	7008	600	150	2016-11-30	2016-12-01	1	FLAT OR UNIT OR APARTMENT	5
DEVONPORT	TAS	7310	960	240	2016-11-30	2016-12-02	3	SEPARATE HOUSE	6
RIVERSIDE	TAS	7250	1120	280	2016-11-30	2016-11-30	null	UNSPECIFIED	12
SANDY BAY	TAS	7005	1800	450	2016-11-30	2016-11-30	2	TERRACE OR TOWNHOUSE OR SEMI-DETACHED	12
SOUTH HOBART	TAS	7004	360	180	2016-11-28	2016-11-29	1	OTHERS	5
PUNCHBOWL	TAS	7249	840	210	2016-11-30	2016-11-30	null	FLAT OR UNIT OR APARTMENT	12
ULVERSTONE	TAS	7315	1000	250	2016-11-30	2016-11-30	3	SEPARATE HOUSE	6
MOUNT NELSON	TAS	7007	1980	495	2016-11-30	2016-12-05	null	UNSPECIFIED	12
HOBART	TAS	7000	1800	450	2016-11-30	2016-11-30	3	TERRACE OR TOWNHOUSE OR SEMI-DETACHED	12
LAUNCESTON	TAS	7250	480	120	2016-11-22	2016-11-23	4	OTHERS	2

The first row as JSON

As it appears in data.json.

GET https://publicdata.au/d/tas-rental-bonds-lodged-2016-11/latest/data.json
{
  "suburb": "BURNIE",
  "state": "TAS",
  "postcode": "7320",
  "bond_amount": 920.0,
  "weekly_rent": 230.0,
  "lodgement_date": "2016-11-01",
  "activation_date": "2016-11-01",
  "bedrooms": 2,
  "dwelling_type": "SEPARATE HOUSE",
  "tenancy_months": 12
}

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.

Smaller files

The same rows split by a field, one JSON file each. Each file carries the same provenance header.

By dwelling_type (5 files)

FLAT OR UNIT OR APARTMENT OTHERS SEPARATE HOUSE TERRACE OR TOWNHOUSE OR SEMI-DETACHED UNSPECIFIED

by/dwelling_type/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.

2016-12-19
1,368 rows10 fieldsxlsx0ee87f0bfc5e

versions.json · changes.json · history.tar.zst (14 KB, every version's Parquet and manifest)

Questions

How do I download Rental bonds lodged, Tasmania as a CSV file?

Open https://publicdata.au/d/tas-rental-bonds-lodged-2016-11/latest/data.csv. It redirects to the newest dated version, which is https://publicdata.au/d/tas-rental-bonds-lodged-2016-11/v/2016-12-19/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 Rental bonds lodged, Tasmania in Excel?

Yes. https://publicdata.au/d/tas-rental-bonds-lodged-2016-11/v/2016-12-19/data.xlsx is a workbook with the 1,368 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-rental-bonds-lodged-2016-11/v/2016-12-19/data.csv.gz is the CSV at about a tenth of the size.

What years does Rental bonds lodged, Tasmania cover?

The current version covers the years since 2016. Each release from Justice Tasmania becomes a new dated version here, and earlier versions stay online.

How often is Rental bonds lodged, Tasmania updated?

Justice Tasmania no longer updates it. This site checks the portal every week and adds a dated version when the file changes.

Can I use Rental bonds lodged, Tasmania 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 Rental bonds lodged, Tasmania?

No. The publisher is Department of Justice, and its page is https://data.gov.au/data/dataset/rental-bond-and-rental-data. This site republishes the publisher's file without changing its content. The original sits beside every version as source.xlsx with its SHA-256, so the two can be compared.

How do I get only the rows for one dwelling type?

Every version has one JSON file per value of dwelling_type, 5 files in the current version, listed with row counts at https://publicdata.au/d/tas-rental-bonds-lodged-2016-11/v/2016-12-19/by/dwelling_type/index.json. For example https://publicdata.au/d/tas-rental-bonds-lodged-2016-11/v/2016-12-19/by/dwelling_type/separate-house.json holds the 660 rows where dwelling_type is SEPARATE HOUSE.

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.xlsx so the change can be checked.

The publisher releases Rental bonds, Tasmania, November 2016 as 2 files at once, so all 2 tables here share a version date.

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 Justice, Tasmanian Government, Rental Bond and Rental Data November 2016, https://data.gov.au/data/dataset/rental-bond-and-rental-data, accessed 3 October 2026, licensed under CC BY 4.0. Serialised and versioned by National Digital at publicdata.au, https://publicdata.au/d/tas-rental-bonds-lodged-2016-11/v/2016-12-19/

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 Justice states the licence, CC BY 4.0, 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 2016-12-19 read it from data.gov.au on 3 October 2026.

Also published on

Hugging Faceload_dataset("National-Digital/tas-rental-bonds-lodged-2016-11")
Kagglewith a starter notebook
ZenodoDOI 10.5281/zenodo.23123675

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 Justice publishes this table on data.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 0ee87f0bfc5e40bf…

Improve this dataset

This page is built from register/tas-rental-bonds-lodged-2016-11.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