Forecasts are produced at a geographic level that makes sense to planners – gain population insights for thousands of small areas (SA1-derived geography) across Victoria, New South Wales, ACT and Western Australia.
Hyperlocal population forecasts
See the future in sharper detail
Demographic trends unfold in different ways in different areas, so it’s important to understand population change using local area geography. The level of detail in .id’s SAFi sets it apart from the rest – our small area population forecasts provide a new level of micro-geographic information for superior demographic insights and business intelligence.
Macro and micro trends
We regularly update our underlying assumptions to help you track both the big-picture macro trends (births, deaths and migration) and micro trends happening on the ground (land use, zoning, residential development) with certainty.
If the success of your enterprise relies on getting services to the right people, in the right place, at the right time, .id SAFi can help you target your efforts to preempt future demand. Quantify demand for services by age or gender over future years in time from 2011 to 2041. Whether you need information for the total population or a target age group, .id SAFi shows you where and when to locate your services to meet future demand.
A reliable evidence base
Years of research and development have gone into developing .id SAFi. Australia’s largest population forecasting team draws on strong relationships with local government and the development industry, extensive knowledge of local housing markets and an in depth understanding of the drivers of population change.
Customised to suit your planning
Versatile enough to meet almost any demographic planning requirements, .id SAFi provides the evidence base for location-based planning in many industries. Built from a highly granular level of detail, .id SAFi can be aggregated into target age groups, split by gender, and output by single-year or five-year intervals. All at a micro-geographic level that aligns to local area planning.
“They are passionate people focused on one specialist area – demographics. The result was a highly focused piece of work which provided us with the evidence-base to make rational, confident and consistent investment decisions.”Stockland
Understand the types of households forecast in an area: couples with children; lone person households; couples without children; single parents; other families (grandparent/uncles/cousins); or group households.
Understand how the number of dwellings changes and develops in the future for each small area.
Age-based forecast information is provided either as five-year age brackets, single year of age forecasts, or aggregated to service delivery age groups (e.g. primary school aged children or retirees) or user-defined target categories. Forecasts can also be split by gender.
Based on a top-down and bottom-up methodology, .id SAFi is built using detailed housing development information and modelled to relevant geographic areas. Close relationships with local government and the development industry help us ground truth our assumptions for better accuracy.
Ground-level development layer
The underlying development assumptions that go into making .id SAFi are tracked in a mapping layer called the Universal Development Layer. The UDL can be used to interrogate development data parcel-by-parcel in a geographic manner as part of .id Placemaker or in your own GIS platform. Contact us for more information about the UDL.
Regularly updated assumptions
.id SAFi is updated on a rolling two-year cycle to ensure our assumptions are updated to reflect changing circumstances such as policy changes, migration patterns, births and deaths.
Modelled by independent experts
.id’s SAFi forecasts consider Government policy but are an independent reflection of our expert opinion. Australia’s largest team of population forecasters draw on extensive development and housing knowledge and are available to discuss methodology and assumptions at any point.
Our clientsThese great companies use .id SAFi
You’ll be working with the largest forecasting team in Australia, supported by demographic and spatial analysts, urban economists, industry sector experts, IT and data management specialists.