Australia Real Estate Sales and Rental Data | Weekly Updated | 18-Month Coverage
# | security_alarm |
full_address |
address |
geo_location |
postcode |
address_state |
street_name |
street_type |
street_number |
address_suburb |
unit_number |
air_conditioned |
bath |
bed |
building_area |
builtIn_wardrobes |
car_spaces |
close_to_transport |
local_council |
land_development_description |
dining_rooms |
fenced |
fireplace |
total_floor_area |
for_rent |
for_sale |
land_size |
lift_installed |
lockup_garage |
lounge_rooms |
study_room |
current_occupancy_type |
on_main_road |
rent_price |
sale_type |
sale_date |
sale_price |
scenic_view |
swimming_pool |
toilets |
property_type |
refurbished_year |
build_year |
lat |
lon |
id |
update_date |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx |
2 | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx |
3 | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx |
4 | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx |
5 | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx |
6 | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | Xxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxx |
7 | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | xxxxx |
8 | Xxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxx | Xxxxx | Xxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxx | xxxxxxxxxx |
9 | Xxxxxxx | Xxxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxx | xxxxx | xxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxx |
10 | xxxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxxx | Xxxxx | xxxxx | xxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxx | Xxxxxx | xxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxx |
... | Xxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxx | xxxxxx | xxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxx | xxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxx | xxxxxx | Xxxxxxxx | Xxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
security_alarm
|
Boolean | f | |
full_address
|
String | 24 THORBY AVENUE LEICHHARDT NSW 2040 | |
address
|
String | 24 THORBY AVENUE | |
geo_location
|
String | {'lat': -33.88336094, 'lon': 151.1648091} | |
postcode
|
Integer | 2040 | |
address_state
|
String | NSW | |
street_name
|
String | THORBY AVENUE | |
street_type
|
String | AVENUE | |
street_number
|
Integer | 24 | |
address_suburb
|
String | LEICHHARDT | |
unit_number
|
|||
air_conditioned
|
Boolean | t | |
bath
|
Integer | 1 | |
bed
|
Integer | 2 | |
building_area
|
Float | 93.0 | |
builtIn_wardrobes
|
Boolean | f | |
car_spaces
|
Integer | 2 | |
close_to_transport
|
Boolean | t | |
local_council
|
String | INNER WEST | |
land_development_description
|
String | General Residential | |
dining_rooms
|
Integer | 1 | |
fenced
|
Boolean | f | |
fireplace
|
Boolean | t | |
total_floor_area
|
Float | 217.0 | |
for_rent
|
Boolean | f | |
for_sale
|
Boolean | f | |
land_size
|
Float | 314.0 | |
lift_installed
|
Boolean | f | |
lockup_garage
|
Integer | 1 | |
lounge_rooms
|
Integer | 1 | |
study_room
|
Integer | 0 | |
current_occupancy_type
|
String | Owner Occupied | |
on_main_road
|
Boolean | f | |
rent_price
|
Float | 630.0 | |
sale_type
|
String | Auction | |
sale_date
|
String | 2023-05-08 00:00:00.000000 UTC | |
sale_price
|
Integer | 4125000 | |
scenic_view
|
Boolean | f | |
swimming_pool
|
Boolean | t | |
toilets
|
Integer | 1 | |
property_type
|
String | HOUSE | |
refurbished_year
|
Integer | 2022 | |
build_year
|
Integer | 1910 | |
lat
|
Float | -33.88336094 | |
lon
|
Float | 151.1648091 | |
id
|
String | 9c31c8c4-4526-52e1-bb27-408b709c0be3 | |
update_date
|
DateTime | 2023-05-18T00:00:00+00:00 |
Description
Country Coverage
History
Volume
700,000 | Records |
18 | Months |
Pricing
License | Starts at |
---|---|
One-off purchase |
$1,000$800 / purchase |
Monthly License |
$50$40 / month |
Yearly License |
$500$400 / year |
Usage-based | Not available |
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is Australia Real Estate Sales and Rental Data Weekly Updated 18-Month Coverage?
18+ months of detailed real estate data covering sales, rentals, property types, locations, and build years. Ideal for market analysis, property valuation, investment insights, urban planning, academic research, and ML model training. Unlock unparalleled insights into real estate trends.
What is Australia Real Estate Sales and Rental Data Weekly Updated 18-Month Coverage used for?
This product has 5 key use cases. Fusion AI Solutions recommends using the data for Property Valuation, Real Estate Analytics, Real Estate Agencies, Property Investment, and Data Driven Marketing. Global businesses and organizations buy Property Transaction Data from Fusion AI Solutions to fuel their analytics and enrichment.
Who can use Australia Real Estate Sales and Rental Data Weekly Updated 18-Month Coverage?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Property Transaction Data. Get in touch with Fusion AI Solutions to see what their data can do for your business and find out which integrations they provide.
How far back does the data in Australia Real Estate Sales and Rental Data Weekly Updated 18-Month Coverage go?
This product has 18 months of historical coverage. It can be delivered on a weekly, monthly, quarterly, yearly, and on-demand basis.
Which countries does Australia Real Estate Sales and Rental Data Weekly Updated 18-Month Coverage cover?
This product includes data covering 1 country like Australia. Fusion AI Solutions is headquartered in Australia.
How much does Australia Real Estate Sales and Rental Data Weekly Updated 18-Month Coverage cost?
Pricing for Australia Real Estate Sales and Rental Data Weekly Updated 18-Month Coverage starts at AUD50 per month. Fusion AI Solutions offers a 20% discount when you buy data from them through Datarade. Connect with Fusion AI Solutions to get a quote and arrange custom pricing models based on your data requirements.
How can I get Australia Real Estate Sales and Rental Data Weekly Updated 18-Month Coverage?
Businesses can buy Property Transaction Data from Fusion AI Solutions and get the data via S3 Bucket and Email. Depending on your data requirements and subscription budget, Fusion AI Solutions can deliver this product in .json, .csv, .xls, and .txt format.
What is the data quality of Australia Real Estate Sales and Rental Data Weekly Updated 18-Month Coverage?
Fusion AI Solutions has reported that this product has the following quality and accuracy assurances: 95% Coverage. You can compare and assess the data quality of Fusion AI Solutions using Datarade’s data marketplace.
What are similar products to Australia Real Estate Sales and Rental Data Weekly Updated 18-Month Coverage?
This product has 3 related products. These alternatives include Property Market Data Real Estate Market Data Observatory Data Suite Transactions Market Data 43 KPIs Italy 5 Years Historic Coverage, CrawlBee Realtor.com Dataset Property Listings MLS Data Real Estate Data Residential Data Realtime Real Estate Market Data, and 1.3 MM Real Estate Professionals Data U.S. Real Estate Marketing Data for Mailing Lists. You can compare the best Property Transaction Data providers and products via Datarade’s data marketplace and get the right data for your use case.