DATA FOUNDATIONS

The Data Layer
The Group Runs On.

Market, supply, planning, material and carbon data — built to back the group's own decisions, suburb-level, Australia-wide.

We don't run a data storefront. These are the datasets our companies plan, price and build against — and the same foundations we open to government and research partners through collaboration.

GET /api/v1/market/pooraka
1curl -X GET "https://api.dddi.group/v1/market/pooraka/weekly" \
2 -H "Authorization: Bearer YOUR_API_KEY"
3# Example response (illustrative)
4{
5 "suburb": "Pooraka",
6 "week_ending": "2026-06-13",
7 "data": {
8 "median_rent": 420,
9 "rental_growth_yoy": 0.032,
10 "sales_volume": 2340,
11 "days_on_market": 28
12 }
13}

What We Track.

Six dataset programmes built and maintained for the group's own work. Status shown per dataset — nothing here is oversold as finished.

01
IN DEVELOPMENT

Housing Market Index (HMI)

CoverageAll suburbs, Australia
GranularityWeekly aggregate, drill to suburb/LGA/state
Update FreqEvery Monday (7 days lag)
Data PointsMedian price, rental yield, price growth %, sale volume, days-on-market
Illustrative SampleBrisbane median rent $420/week, growth 3.2% YoY, 2,340 sales this week
RESTGraphQLCSVParquet
02
IN DEVELOPMENT

Development Pipeline (DP)

CoverageAll LGAs, tracking active projects
GranularityPer-project (address-level), aggregated to LGA
Update FreqDaily (same-day reporting)
Data PointsProject stage (planning/approved/under construction/complete), typology, expected completion, unit count, estimated cost
Illustrative SampleIllustrative: suburb-level pipeline summary — tracked projects, units in pipeline, upcoming completions
RESTCSV Snapshots
03
IN DEVELOPMENT

Supply Chain & Material Costs

CoverageAustralia-wide supplier network
GranularityBy material type, by region, by supplier
Update FreqWeekly (supplier submissions + market tracking)
Data PointsMaterial price index, lead time, availability, substitution options
Illustrative SampleWindows: lead time +14 weeks, price up 8%, substitutes +15% premium
RESTGraphQLWeekly CSV
04
IN DEVELOPMENT

Public Records Index (PRI)

CoverageAll planning approvals, DAs, heritage listings
GranularityBy address, by council, by application date
Update FreqDaily (from council sources)
Data PointsApplication type, approvals, conditions, timelines
Illustrative SampleNewtown: 340 active DAs, median approval 120 days, 60% resi approved
RESTBulk downloads by council
05
IN DEVELOPMENT

Embodied Carbon Database

Coverage1000+ building typologies (Australia-specific)
GranularityBy building component, by material
Update FreqMonthly (new LCA data)
Data PointsEmbodied carbon (kg CO₂-e/m²), operational carbon, recycled content %
Illustrative SampleMid-rise: 45 kg CO₂-e/m² embodied, 8 kg CO₂-e/m²/year operational
RESTCSV scenarios
06
IN DEVELOPMENT

Suburb Digital Twin Dataset

Coverage100+ suburbs, high-detail 3D models
GranularityBuilding-level, street-level detail
Update FreqQuarterly (major), monthly (light)
Data Points3D building models, street networks, population heatmaps
Illustrative SampleIllustrative: suburb 3D model with buildings, amenities and density layers
GeoJSONGLBCesium tilesREST
These datasets serve the group's own projects first. Government and research partners work with them through collaboration. See how partnerships work →

How Data Moves In A Partnership.

When a collaboration includes data sharing, these are the three ways we deliver it.

REST API

JSON / GraphQL

Best for: partner platforms and pilot integrations.

  • → Standard REST endpoints (JSON responses)
  • → Authentication via secure API key
  • → Rate limits scoped to each collaboration
  • → Sandbox available for testing
// Fetch suburb market data (illustrative)
GET /api/v1/market/pooraka/weekly
Authorization: Bearer YOUR_API_KEY

Propose A
Data Collaboration.

Government pilots, university research, and partner data exchange — tell us what you're working on and our research team will come back to you.

Scope and role agreed before any data moves
Every dataset carries its source, basis and status
A named person on our side, end to end

Or start from the partnership page:

Which datasets are relevant to your work? (Select all that apply)
Get Trade Quotes