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The Community Trust Index assesses trust in the Mozambique Red Cross (CVM), with a focus on early warning and anticipatory action. It explores community perceptions, key drivers of trust, and engagement with early warning systems. The results below highlight strengths, gaps, and opportunities to improve preparedness, participation, and community resilience.
Engagement in early warning builds response trust
Openness and transparency strengthen early warning trust
Older age and low education hinder trust
Trust differs by hazard exposure
Overall ScoreIndex scoreThe overall score is the average of the competences and values scores. The competency and values scores are the arithmetic mean of the scores for each sub-dimension. The sub-dimension scores are generated from the weighted average of the response rates to the questions relating to each sub-dimension, using the following weightings.
Early Warning
The Mozambique Red Cross (CVM) did the survey in March 2025 as part of the Community Trust Index and Early Warning for All initiatives. CVM gave out the questionnaire, which asked people what they thought about trust in the community and how well the Early Warning System worked. This was all part of the Building Trust project. In total, 1,690 people over 18 from the two districts were asked questions, and this gave us some interesting information about how people trust each other in places in Mozambique that are often hit by disasters.
The results indicate a good level of trust in the Early Warning System, with an overall score of 7.9 out of 10. Among the assessed pillars, Warning & Communication received the highest score (8.0), closely followed by Preparedness & Response (7.8), reflecting strong confidence in the system's ability to disseminate warnings and support communities in preparing for and responding to hazards.
These results indicate that the Early Warning System is widely recognized as an important tool for reducing disaster risks and helping communities anticipate and respond to hazards. At the same time, the findings provide a valuable baseline for monitoring trust over time and identifying opportunities to further strengthen community engagement and resilience.
Findings
he results indicate a high level of trust in the Early Warning System among communities in Buzi and Chigubo, with particularly strong confidence in warning dissemination, communication, and preparedness capacities. Respondents rated effectiveness, responsiveness, awareness, and inclusiveness highly, suggesting that the system is widely perceived as helping communities anticipate and respond to disasters.
At the same time, feedback and transparency received comparatively lower scores across both pillars, highlighting opportunities to strengthen two-way communication and community participation. The findings also show that trust is strongly linked to awareness and engagement: respondents who were familiar with Early Warning System equipment, aware of CLGRR activities, or had interacted with the program reported substantially higher levels of trust than those without prior engagement. Education level and exposure to different hazards also influenced perceptions, with lower trust observed among respondents identifying drought as their primary hazard.
Engagement in early warning builds response trust
Openness and transparency strengthen early warning trust
Older age and low education hinder trust
Trust differs by hazard exposure
Contact
Lead
Mozambique Red Cross
Partners
Population
- All Respondents
- Men
- Women
Region
Age Group
Export charts
Charts will be available for export after the data loads.
The sample shows some deviations from the population structure across districts, with Buzi under-represented and Chigubo over-represented compared to official figures. Differences are also observed in age and gender distribution. While younger age groups are broadly consistent with the population, there is a slight over-representation of older respondents, particularly among men aged 60+ and women aged 40 and above.
These imbalances may affect the representativeness of the findings and will be considered during the analysis, with adjustments applied where necessary. Despite these limitations, the education profile of the sample closely aligns with population data.