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Disadvantage Modelling & Site Planning

Optimising Early Learning Reach for HIPPY

Social Policy AIGeospatial AnalysisDisadvantage Modelling

PAG Insight AI

This case study details our site analysis and disadvantage modelling for the HIPPY program. Ask me how we identified new areas for support.

The Challenge: Ensuring Support Reaches Those in Need

The Home Interaction Program for Parents and Youngsters (HIPPY) is a home-based early learning and parenting program delivered to disadvantaged sectors. The Brotherhood of St. Laurence (BSL) operates the program across 100 communities, reaching around 4,000 families from urban, regional, rural, and remote areas. They needed to verify that sites were correctly positioned to reach eligible families given that catchments were based on potentially outdated 2011 and 2016 census data.

  • Assess and Update Boundaries: Catchment areas needed review to ensure they capture current community demographics and meet enrolment targets.
  • First Nations Accessibility: A critical need to ensure First Nations focused sites were accessible and positioned to be delivered by Aboriginal Controlled Community Organisations (ACCOs) with cultural authority.
  • Growth Planning: BSL required a data-driven strategy to identify new locations for expansion and ensure the program remains complimentary to other community services.

Our FDE Approach: Advanced Disadvantage Modelling

PAG partnered with Inside Policy to deliver a comprehensive site analysis. We moved beyond simple census lookups to create a robust, multi-dimensional view of community need.

  • Custom Indigenous Index: Recognising that standard SEIFA scores can be skewed by non-Indigenous populations, we constructed a specific disadvantage index using Principal Components Analysis (PCA) based on Biddle (2009), providing a truer picture of need in First Nations communities.
  • Multi-Factor Analysis: We combined four key measures: SEIFA (2021), our Custom Indigenous Index, Cultural and Language Diversity (CALD), and Australian Early Development Census (AEDC) data.
  • Granular Mapping: Measures were constructed at SA2, SA3, and LGA levels to provide a complete catchment overview, supported by qualitative work to ensure cultural authority in delivery.

The Outcome: Evidence-Based Expansion

77+

SA3 Opportunities

At least 77 areas identified for expansion or new sites

100

Communities

Currently reaching 4,000 families across urban, regional, and remote areas

340

Areas Mapped

Detailed commentary and mapping for every populated SA3 nationwide

The suitability of current site locations was confirmed in terms of current and future program clients. The analysis of disadvantage revealed at least 77 SA3s that could benefit by enlarging existing programs or incorporating new sites in currently non-serviced areas.

Result: Expanding Reach

By identifying underserved areas and validating existing ones, we helped map a path for the program to grow and reach more families.

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