How We Measure Community Resilience
What This Index Measures
The Community Resilience Index answers two questions for every Australian postcode:
- How strong is your community’s foundation?— the social networks, economic diversity, housing, and institutional support that exist before any crisis hits.
- How hard is the current crisis hitting your area?— the specific pressures your community faces right now, like fuel supply distance, transport dependency, and cost-of-living exposure.
These two questions need separate answers because the actions that follow are different. A community with a strong foundation under heavy pressure needs to activate what it already has. A community with a weak foundation and low pressure has time to build capacity before the next shock.
Two Layers, Not One Number
Most resilience tools produce a single score. We deliberately do not. A single number hides the most useful information: whether your community’s challenges are structural (long-term, buildable) or situational (crisis-specific, immediate).
Layer 1: Baseline Resilience (BRIC)
The first layer measures your community’s pre-existing capacity across six areas, which researchers call “capitals”:
- Social— education levels, language access, socioeconomic advantage
- Economic— income, employment, industry mix, housing affordability
- Community— volunteering, community organisations, civic participation
- Institutional— proximity to hospitals, emergency services, government service points
- Housing & Infrastructure— internet access, dwelling quality, transport options
- Environmental— agricultural land, green space, water security
This layer uses the BRIC framework (Baseline Resilience Indicators for Communities), the most widely replicated method for measuring community resilience globally, with over 30 peer-reviewed studies. It draws on Australian Bureau of Statistics Census data and other official sources.
The baseline score ranges from 0 to 6. Higher means more structural resilience. This score changes slowly — it reflects conditions that take years to build or erode.
Layer 2: Crisis Pressure (INFORM)
The second layer measures how hard a specific crisis is pressing on your community. It uses the INFORM framework (Index for Risk Management), developed by the European Commission for humanitarian risk assessment, adapted here for Australian supply chain disruption.
Three dimensions:
- Exposure— how far your community is from fuel supply, how remote it is, local fuel pricing
- Sensitivity— how dependent your community is on the things being disrupted (car dependency, housing stress, agricultural workforce reliance)
- Lack of Coping Capacity— what buffers your community lacks (public transport, solar power, internet, local food production, community infrastructure)
The crisis pressure score ranges from 0 to 10. Higher means more pressure. This score can change faster as crisis conditions evolve.
Putting It Together: Four Situations
Your community’s baseline resilience and crisis pressure combine into one of four situations, each pointing to different actions:
| Lower Crisis Pressure | Higher Crisis Pressure | |
|---|---|---|
| Higher Resilience | Monitor— your community has capacity and low current pressure. Stay prepared. | Stress-Tested— capacity exists and it’s being drawn on. Activate mutual support. |
| Lower Resilience | Structurally Fragile— not currently acute but one shock away. Build capacity now. | Critical Priority— low capacity under high pressure. Immediate mutual support and long-term capacity building needed. |
Coherence vs Entrainment: Why Diversity Matters
This is where our index differs from standard resilience measurements. Most indices treat all forms of community strength as equal. A postcode where 90% of workers are in one industry scores the same on “employment rate” as one where workers are spread across many industries. Both look resilient by that measure.
But they fail differently. The single-industry community isentrained— locked into one dependency. It looks stable right up until that industry contracts, at which point everything falls apart at once. There is nothing else to reorganise around.
The diverse-industry community is coherent— its parts are connected but not locked together. When one sector struggles, others can absorb the shock. People have options. The community can reorganise.
This distinction — between brittle stability (entrainment) and adaptive stability (coherence) — runs through our index. Wherever the data allows, we measure not just how much of something a community has, but how diverse those holdings are:
- Economic: not just employment levels, but industry diversity (are jobs spread across sectors?)
- Transport: not just car ownership, but transport mode diversity (can people get around without a car?)
- Community: not just organisation count, but organisational type diversity (are there many kinds of community groups?)
- Environment: not just agricultural land, but land use diversity (is there variety in how land is used?)
Diversity indicators are weighted slightly higher than volume indicators within each capital. This means a community with moderate employment across five industries is scored as more resilient than one with high employment concentrated in a single industry. This is a deliberate methodological choice grounded in research on coupled systems and adaptive capacity.
How Scores Are Calculated
Every indicator is compared against all Australian postcodes and scaled to a common range so that different measurements (dollars, percentages, distances) can be combined fairly. For most indicators, this is a simple minimum-to-maximum scaling. For indicators with extreme outliers (e.g. one very remote postcode stretching the scale), we use a ranking method instead.
Within each capital or pillar, indicators are combined using a weighted average. The weights reflect how important each indicator is to that dimension of resilience, informed by the academic literature and the coherence/entrainment lens described above. All weights are documented in the indicator catalogue.
The six baseline capital scores are summed (range 0–6). The three crisis pillar scores are combined using a geometric mean (range 0–10), which prevents one low-pressure pillar from masking a high-pressure one.
Data Confidence
Every score comes with a confidence rating. This tells you how much to trust the number based on three factors: the authority of the data source (official statistics vs estimates), how recently it was collected, and how complete the coverage is for your postcode.
When data is missing for some indicators, remaining indicators carry more weight and the confidence score drops accordingly. We always show you what data is available and what is pending — a partial picture honestly labelled is more useful than a complete-looking picture hiding its gaps.
Limitations
- Most baseline data comes from the 2021 Census. Communities change. The index measures structural conditions as of that snapshot.
- The index uses statistical proxies. “Distance to nearest hospital” is not the same as “quality of local healthcare.” We measure what the data can tell us, and we name what it cannot.
- Small score differences between postcodes may not be meaningful. Focus on the overall pattern and quadrant classification rather than precise score comparisons.
- Some capitals (Institutional, Environmental) have limited data in the current version and are flagged with reduced confidence.
Quality Framework
This index follows the OECD/JRC Handbook on Constructing Composite Indicators (2008), which provides a ten-step quality standard for index construction. The England BRIC adaptation (Camacho et al. 2024) achieved full compliance with this standard. We target the same level of methodological rigour. See validation for details on how the index is tested.