---
title: Rental bonds lodged, Tasmania, November 2016
resource: https://publicdata.au/d/tas-rental-bonds-lodged-2016-11/
publisher: Department of Justice
licence: CC BY 4.0
licence_url: https://creativecommons.org/licenses/by/4.0/
version: 2016-12-19
rows: 1368
fields: 10
source: https://data.gov.au/data/dataset/24703f06-bcc4-401e-8705-d09969a4c25a/resource/82cfa8a7-e5b6-42f2-8e69-52f74c5fb5d2/download/rental-bond-and-rental-data-november-2016.xlsx
source_sha256: 0ee87f0bfc5e40bf50575685b8710357fdc6c9a5e61d1465a95b12da3816d19e
language: en-AU
operator: National Digital
not_endorsed: true
---

# Rental bonds lodged, Tasmania, November 2016

Every Tasmanian rental bond lodged in November 2016, one row per bond, with suburb, bond amount, weekly rent, bedrooms, dwelling type and tenancy length.

Published by Department of Justice under CC BY 4.0 and republished here in other formats, with cells typed and suppressed values made null. Department of Justice has not endorsed this site.

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

## Download

Latest version, redirects to `https://publicdata.au/d/tas-rental-bonds-lodged-2016-11/v/2016-12-19/`:

- csv: https://publicdata.au/d/tas-rental-bonds-lodged-2016-11/latest/data.csv (112 KB)
- xlsx: https://publicdata.au/d/tas-rental-bonds-lodged-2016-11/latest/data.xlsx (71 KB)
- json: https://publicdata.au/d/tas-rental-bonds-lodged-2016-11/latest/data.json (315 KB)
- parquet: https://publicdata.au/d/tas-rental-bonds-lodged-2016-11/latest/data.parquet (17 KB)
- sqlite: https://publicdata.au/d/tas-rental-bonds-lodged-2016-11/latest/data.sqlite (131 KB)
- duckdb: https://publicdata.au/d/tas-rental-bonds-lodged-2016-11/latest/data.duckdb (200 KB)
- ndjson: https://publicdata.au/d/tas-rental-bonds-lodged-2016-11/latest/data.ndjson (313 KB)
- arrow: https://publicdata.au/d/tas-rental-bonds-lodged-2016-11/latest/data.arrow (32 KB)
- csv.gz: https://publicdata.au/d/tas-rental-bonds-lodged-2016-11/latest/data.csv.gz (13 KB)

Pinned version 2016-12-19: `https://publicdata.au/d/tas-rental-bonds-lodged-2016-11/v/2016-12-19/data.<format>`. Dated versions never change.

## Query

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. Rows: https://publicdata.au/api/v1/datasets/tas-rental-bonds-lodged-2016-11/rows. Counts and sums: https://publicdata.au/api/v1/datasets/tas-rental-bonds-lodged-2016-11/aggregate.

- Rows: https://publicdata.au/api/v1/datasets/tas-rental-bonds-lodged-2016-11/rows?bedrooms=gte.1&bedrooms=lte.5&limit=5
- Aggregate: 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

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`. Operators: `eq.value`, `neq.value`, `gt.value`, `gte.value`, `lt.value`, `lte.value`, `like.*text*`, `ilike.*text*`, `in.(a,b,c)`, `is.null`.

- `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 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 for this dataset: https://publicdata.au/d/tas-rental-bonds-lodged-2016-11/openapi.json

## Explore

Charts and dashboards in the browser: https://publicdata.au/d/tas-rental-bonds-lodged-2016-11/explore/. A dashboard can be shared as a link or embedded.

## Smaller files

- by `dwelling_type`: https://publicdata.au/d/tas-rental-bonds-lodged-2016-11/v/2016-12-19/by/dwelling_type/index.json lists 5 files

## Fields

| field | type | publisher's header | note |
|---|---|---|---|
| `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) |  |

## Versions

- 2016-12-19: 1368 rows, 10 fields, sha256 0ee87f0bfc5e. https://publicdata.au/d/tas-rental-bonds-lodged-2016-11/v/2016-12-19/

Machine-readable: https://publicdata.au/d/tas-rental-bonds-lodged-2016-11/versions.json, https://publicdata.au/d/tas-rental-bonds-lodged-2016-11/changes.json, https://publicdata.au/d/tas-rental-bonds-lodged-2016-11/datapackage.json, https://publicdata.au/d/tas-rental-bonds-lodged-2016-11/schema.json, https://publicdata.au/d/tas-rental-bonds-lodged-2016-11/history.tar.zst

## Part of Rental bonds, Tasmania, November 2016

- [Rental bonds closed, Tasmania, November 2016](https://publicdata.au/d/tas-rental-bonds-closed-2016-11/)

## Same subject, other publishers

- [Median weekly rents by suburb and dwelling type, Queensland](https://publicdata.au/d/qld-median-rents-by-suburb/) (Qld)
- [Median weekly rents and bonds lodged by suburb, South Australia](https://publicdata.au/d/sa-private-rents-by-suburb/) (SA)
- [Rental bond lodgements, New South Wales, 2021](https://publicdata.au/d/nsw-rental-bond-lodgements-2021/) (NSW)
- [Rental bond lodgements, New South Wales, 2022](https://publicdata.au/d/nsw-rental-bond-lodgements-2022/) (NSW)
- [Rental bond lodgements, New South Wales, 2024](https://publicdata.au/d/nsw-rental-bond-lodgements-2024/) (NSW)
- [Rental bond lodgements, New South Wales, 2023](https://publicdata.au/d/nsw-rental-bond-lodgements-2023/) (NSW)
- [Rental bond lodgements, New South Wales, 2025](https://publicdata.au/d/nsw-rental-bond-lodgements-2025/) (NSW)
- [Median weekly rents by postcode and dwelling type, Queensland](https://publicdata.au/d/qld-median-rents-by-postcode/) (Qld)
- [Median weekly rents and bonds lodged by postcode, South Australia](https://publicdata.au/d/sa-private-rents-by-postcode/) (SA)
- [Rental bond refunds, New South Wales, 2021](https://publicdata.au/d/nsw-rental-bond-refunds-2021/) (NSW)
- [Rental bond refunds, New South Wales, 2024](https://publicdata.au/d/nsw-rental-bond-refunds-2024/) (NSW)
- [Rental bond refunds, New South Wales, 2023](https://publicdata.au/d/nsw-rental-bond-refunds-2023/) (NSW)

## Attribution and citation

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.

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

Plain text: 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/

Harvard: Department of Justice (2016) Rental bonds lodged, Tasmania, November 2016, version 2016-12-19 [data set], CC BY 4.0, sourced 3 October 2026. Serialised and versioned by National Digital at publicdata.au. Available at: https://publicdata.au/d/tas-rental-bonds-lodged-2016-11/v/2016-12-19/

Markdown: Data: [Rental bonds, Tasmania, November 2016](https://data.gov.au/data/dataset/rental-bond-and-rental-data), Department of Justice, [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/), sourced 3 October 2026. Files: [publicdata.au](https://publicdata.au/d/tas-rental-bonds-lodged-2016-11/v/2016-12-19/) by [National Digital](https://nationaldigital.com.au/).

## 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 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.

## What this site did to the data

Cells were typed, headers were renamed to snake_case and the encoding was made UTF-8. Rows were left alone. Nothing is derived. The publisher's file is beside every version as `source.xlsx`.

## Improve this dataset

This page is built from [register/tas-rental-bonds-lodged-2016-11.yaml](https://github.com/National-Digital/publicdata.au/blob/main/register/tas-rental-bonds-lodged-2016-11.yaml) on GitHub, and a fix to it is welcome as a pull request. https://publicdata.au/contribute/ explains how.
