Homes affected by the earthquake in Venezuela

Segmentación de Hogares Afectados por el Terremoto — Equilibrium
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One emergency,
different impacts.

Segmentation of 525 households affected by the June 24, 2026 earthquake in Venezuela, to prioritize aid based on each household’s real need — not the name of its municipality.

525
affected households surveyed
5
municipalities covered
19
need variables
4
profiles identified
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Context

Not every household experiences the crisis the same way

The magnitude 7.2–7.5 earthquake that struck north-central Venezuela in late June 2026 did not affect the population uniformly. The same seismic event produced, across the same territory, radically different damage trajectories: households that lost their home and their source of income on the same day, and neighboring households that, with lighter damage, retained much of their ability to cope.

To guide the response, Equilibrium conducted a phone-based needs survey of 525 households that experienced some form of impact in the hardest-hit municipalities. This report presents a segmentation analysis built from that survey: rather than describing general averages, it identifies subgroups of households with distinct need profiles, to enable differentiated responses.

525
households surveyed in the hardest-hit municipalities
19
need and vulnerability variables analyzed
6
dimensions of damage and vulnerability integrated
4
statistically distinct profiles
Methodology

How the segmentation was built

A cluster analysis — not a manual triage criterion — grouped households by the real similarity of their situation, not by their location.

01 · DATA

Phone-based needs survey

525 households in the hardest-hit municipalities: housing damage, displacement, food security, water, sanitation, health, services, protection, and aid received.

02 · VARIABLES

19 variables across 6 dimensions

Need and vulnerability variables — not general demographics or location — plus household composition and types of aid received to date.

03 · METRIC

Gower Distance

Combines ordinal, numerical, and categorical variables into a single distance matrix, without forcing Euclidean assumptions onto mixed data.

04 · CLUSTERING

Hierarchical, complete linkage

4 clusters selected using the silhouette coefficient, discarding solutions with groups representing less than 5% of households.

Considerations and limitations of the analysis

  • Geographic location was deliberately excluded from the segmentation variables: the clusters reflect need, not origin.
  • Because this was a phone-based survey, households without a working phone — often the most severely affected — were less likely to be reached; Cluster 1 may be underrepresented in the sample.
  • The clusters describe households’ situation at the time of data collection, not a permanent condition. Repeating the measurement at 3, 6, and 12 months is recommended.
Results

Four profiles, seen from every angle

Explore the composition of the sample, the key indicators, the relative need index, and the geographic distribution of each cluster.

Sample composition

525 households, segmented into four profiles of unequal size. Hover over each segment.

Key indicators by cluster

Four metrics summarizing the gap between the most critical and the most resilient cluster. Hover over each bar to see the exact value.

Relative need index

Each axis is normalized against the most affected cluster in that dimension (1.00 = maximum relative need). Click a cluster in the legend to isolate it.

Geographic distribution

Vargas Municipality (La Guaira) and Bolivariano Libertador Municipality (Capital District) are home to both the most critical and the most resilient households.

Detailed profile

Each cluster, in depth

Select a cluster to see its full profile: indicators, geographic concentration, and specific recommendations.

General recommendations

Cross-cutting across all four clusters

Beyond the cluster-specific response, these recommendations sustain the evidence-based prioritization approach over time.

Pooled funding mechanism

Pool resources from different sources, with a non-repayable support window for Cluster 1 and a repayable or blended-instrument window for Cluster 4.

Sector-based technical working groups

Organized by thematic area — shelter, food security, health, and protection — using the cluster typology as a shared criterion for territorial prioritization.

Operational coordination among implementers

Framework agreements to rapidly activate field capacity in the municipalities with the highest concentration of Clusters 1 and 2.

Evidence-based accountability

Periodic reporting using the same cluster indicators as a baseline, tracking household movement between segments over time.

Key monitoring indicators
Outcome indicatorBaselineIndicative target
Days without access to food (avg.)Cluster 1: 2.09 days≥50% reduction at 3 months
Food security severity indexCluster 1: 1.83Convergence to Cluster 3’s level (1.24) at 6 months
Households with rehabilitated housingCluster 1: damage 2.3080% of critical households assisted at 12 months
Access to chronic medication without barriersCluster 2: current barrier 1.0≥60% reduction at 6 months
Awareness of aid pathwaysCluster 1: 2.22 (unawareness)≥70% reduction at 2 months
Upward mobility between clustersClusters 1 and 2Measurable migration toward lower-vulnerability profiles
Conclusion

Responses tailored to each need

The June 2026 earthquake did not produce a homogeneous crisis. The 525 households analyzed fall into four distinct realities that call for four distinct instruments: liquidity and reconstruction, active outreach and continuity of care, livelihood recovery, and productive financing. Vulnerability doesn’t always match what’s visible: Cluster 2, with less structural damage, carries the highest protection risk.

The central recommendation: use the household’s cluster — not its municipality — as the unit of decision.

Other resources

Keep exploring

This interactive summary is a starting point. For deeper analysis or to cross-reference the figures with your own criteria, these resources complement the report.

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