Already using data points from a variety of platforms? Or trying to do too much inhouse? Now you can access more and higher-quality data to inform your decisions – from one location.
PointData’s rich, granular data solves property problems like no-one else can, with a versatility that takes on complex and broad-reaching issues, or highly specific questions.
And we’re committed to staying ahead of the industry. Leading with a challenger mindset, we’re continually learning and innovating, testing and investing in R&D.
That’s how we deliver answers at scale and speed, with a focus on commercial viability and business sustainability for our customers – always with an eye on societal needs.
up to
more granular* than other comparable indices
* PointData uses Statistical Area Level 1 (SA1) data where typically other data sources only drill down to Statistical Area Level 2 (SA2) level.
Our API gives you INSTANT access to the unique data layers produced by our AI/machine learning models, streaming our data to your organisation as you need it.
The API delivers property-level data assets, covering development potential, climate risk, valuations and more – and is available to the ENTIRE Australian property ecosystem.
Using our API, you’re plugging into a pipeline of fully AUTOMATED insights it might otherwise take you months (or years) to generate internally.
Underpinning PointData’s DaaS offerings is our STATE-OF-THE-ART data warehouse, a unified, flexible, versioned data store, built on the latest AI and ML tooling.
Plug in to our data warehouse directly through our API and run the reports you need. Pricing is flexible; integration is seamless.
Partner with PointData and use our API data feed to add to your existing digital offering.
PointData’s comprehensive data catalogue offers a multitude of API end-points and constituent data variables.
Whether you request individual data sets or a combination of points in a custom solution, our metrics will enable you to make fast, informed decisions on off-market sites.
For development professionals assessing sites by suburb, zone or local government area, we can tailor data packs to your needs. Packs can include property specific data and land values, land value uplift and return on investment.
All of our data is regularly updated and offered in multiple formats to ensure seamless integration and versatile application.
Browse the deep data layers available through our API
Land is a key driver for a property’s overall value. Details of a land parcel include the overall site area in square metres, and the frontage length in metres. Note: all data is offered at an address level with a precise value in a database or GIS package.
Land values often rise, on a per-square-metre basis, when a property is subdivided. Additional dwellings on the property increase the intensity of economic use of the land, increasing value. Owners, investors and developers can gain an understanding of how dollar yields from land increase, and factor it into their business plans for sub-division and re-development.
Describes the maximum number of allowable detached dwellings that can be accommodated based on the planning and zoning policies relating to subdivision and block fitting.
Describes the maximum number of allowable semi-detached dwellings that can be accommodated based on the planning and zoning policies relating to subdivision and block fitting.
Describes the maximum number of allowable group dwellings that can be accommodated based on the planning and zoning policies relating to subdivision and block fitting.
Describes the maximum number of allowable row dwellings that can be accommodated based on the planning and zoning policies relating to subdivision and block fitting.
These points are derived by our proprietary planning algorithms accounting for frontage, area and required driveways allowable under the planning scheme. This is only intended to be a guide and is subject to more specific design input.
Home owners, investors and builder-developers need to be able to assess the developability of a property efficiently. Re-development that adds an additional home or more to a property can be a positive social outcome given Australia’s chronic housing shortage.
Buyers, sellers and financers need current property price estimates to guide their decisions on individual properties. PointData applies multiple data inputs in its machine learning models to estimate property and land values.
The ‘Estimated property value’ dataset includes FSD and Bias values. It is derived from a machine learning AVM, drawing in multiple data layers and updated weekly based on ‘on- and off-market’ sales and auction data.
Historical sales and values are an important indicator of a property’s value for a buyer, investor or financier. PointData collates and assesses data from several sources in its property sales data.
We compile and generate both on and off market sales statistics and our own price indices including:
o Sale date and price
o Comparable sales analysis (automated CMA)
o Historic sales and turnover
o Price indices* for 3, 6, 12 months and 5 years (updated weekly)
* Calculated by PointData’s unique AI/machine learning neighbourhood scaling model.
All data is offered at an address level with a precise value in a database or GIS package.
Decision makers must understand property location details including the locality name, local government area (LGA), latitude, longitude and elevation, as well as proximity to a main road.
Building features provide a checklist for buyers, and include the building age, footprint in square metres, and the number of bedrooms, bathrooms and car spaces.
Home owners, investors and developers making a decision about an individual property can find a PDF property report helpful. PointData has developed a range of standardised reports in PDF that can be ordered on our Valeri.com.au website. The reports are designed to be read, in contrast to individual data points that we deliver via API.
Buyers, investors and agents often refer to property value change in a locality. The pattern of value change in an area is more stable than for one property, and indicative of the overall desirability of the area. Where the area is sufficiently disaggregated, the change in values can be used to plot the likely path of an individual property that lacks a recent sales event.
Investors and agents are interested in the dynamics of local property markets. Measures such as sales velocity, sales volume and prices are indicators of local market strength.
Every five years, the Australian Bureau of Statistics undertakes one of the largest data collection exercises in Australia, the Census of Population and Housing. Once it has been processed from individual household responses, the data is released, covering small and large areas across the country. Census provides key insights into local population characteristics, employment, incomes, dwellings and tenancy.
Contact PointData for the Full Data Catalogue including detailed specifications.
There are multiple, flexible ways to tap into our data, depending on how much you need and how you intend to use it.
Discuss your specific requirements with our team.
The above property and area data layers do not represent all the data layers we can provide. It focuses on standardised, repeatable data variables that can be delivered automatically via API. Please contact our team to provide solutions tailored to your specific needs.
PointData acknowledges Aboriginal and Torres Strait Islander peoples as custodians of traditional land and waters of Australia. We acknowledge and pay respect to them, their cultures and Elders past and present.
PointData acknowledges Aboriginal and Torres Strait Islander peoples as custodians of traditional land and waters of Australia. We acknowledge and pay respect to them, their cultures and Elders past and present.