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INFORM Risk Index

URL: https://drmkc.jrc.ec.europa.eu/inform-index Type: Intergovernmental risk assessment framework (EU Joint Research Centre / UN partnership) Active since: 2012 (first INFORM Index; conceptual development from 2010)

Mission

INFORM (Index for Risk Management) is "a global, open-source risk assessment for humanitarian crises and disasters" designed to support decisions about prevention, preparedness, and response. It was developed as a collaboration between the European Commission's Joint Research Centre (JRC), the Inter-Agency Standing Committee (IASC), and the European Commission's Directorate-General for European Civil Protection and Humanitarian Aid Operations (DG ECHO).

The core objective is to provide a quantitative, transparent, and reproducible measure of country-level humanitarian risk that any organization can use for resource allocation, early warning, and strategic planning.

What They Track

INFORM assesses humanitarian crisis risk across 191 countries using three dimensions:

Dimension 1: Hazard and Exposure

34 indicators covering:

  • •Natural hazards: earthquakes, tsunamis, floods, tropical cyclones, droughts, epidemics
  • •Human-caused hazards: current and projected conflict intensity
  • •Exposure: population in areas affected by hazards

Dimension 2: Vulnerability

24 indicators covering:

  • •Socio-economic vulnerability: development and deprivation (HDI, inequality, poverty)
  • •Vulnerable groups: uprooted people, food insecurity, children under five, recent shocks

Dimension 3: Lack of Coping Capacity

18 indicators covering:

  • •Institutional capacity: governance, corruption control, disaster risk reduction
  • •Infrastructure capacity: health system, communication, physical infrastructure
  • •Access constraints: physical, security-related, and operational impediments to aid delivery

The total model uses approximately 80 indicators (76 in the core calculation), normalized to a 0-10 scale where higher values indicate greater risk.

Methodology

Composite Index Construction

1. Data collection: Indicators are sourced from international organizations including the World Bank, WHO, UNHCR, FAO, UNOCHA, and academic institutions. Each indicator must have coverage for the majority of 191 countries.

2. Normalization: All indicators are normalized to a 0-10 scale using min-max normalization, where 0 represents the best (lowest risk) and 10 represents the worst (highest risk) observed value.

3. Aggregation: Components within categories are aggregated using either arithmetic or geometric mean depending on the metric. The geometric mean is used at higher aggregation levels to avoid full substitutability between dimensions (a country with very low coping capacity cannot fully compensate by having low hazard exposure).

4. Weighting: Equal weights are applied within and between dimensions by default, though the open-source model allows users to modify weights for specific use cases.

5. Update cycle: The model is updated twice per year (September and March), with at least five years of historical data maintained using consistent methodology to enable trend analysis.

Reliability Features

  • •Same methodology applied across all 191 countries ensures comparability
  • •Open-source calculation model allows independent verification
  • •Inter-Agency Standing Committee provides peer review of methodology updates
  • •Climate-driven INFORM variant incorporates climate projections for forward-looking risk assessment

INFORM Family of Products

INFORM has expanded beyond the core Risk Index into a family of related products:

  • •INFORM Risk: The flagship country-level risk index (described above)
  • •INFORM Severity: Measures the severity of ongoing humanitarian crises (not the risk of future ones), covering active emergencies worldwide. Updated more frequently than the Risk index.
  • •INFORM Climate: Climate-driven variant that incorporates climate change projections (temperature, precipitation, sea level rise) to assess how risk profiles will evolve under different warming scenarios. Available through the IMF Climate Data portal.
  • •INFORM Subnational: Adapted versions for specific regions (Caucasus and Central Asia, Sahel, Horn of Africa) providing higher geographic granularity than the country-level index.
  • •INFORM COVID-19: A specialized variant developed during the pandemic to assess countries' vulnerability to COVID-19 impacts, combining epidemiological exposure with health system capacity and socioeconomic vulnerability.

Data Availability

INFORM provides unusually strong data accessibility:

  • •Excel downloads: Full source data and calculation steps for all functional levels, categories, and dimensions. Available from the INFORM Risk "Results and data" page.
  • •Interactive map: Visual explorer at the DRMKC portal
  • •Country profiles: Individual risk profiles for all 191 countries
  • •Humanitarian Data Exchange (HDX): INFORM datasets hosted on data.humdata.org with standardized formats
  • •ACAPS API: Programmatic access to INFORM data through the ACAPS RESTful API (api.acaps.org)
  • •IMF Climate Data: Climate-driven INFORM Risk variant available through IMF's climate data portal
  • •Historical data: Five years of comparable results for trend analysis
  • •Open-source model: The calculation methodology is fully documented and reproducible

All data is open access for non-commercial use.

Data Quality and Limitations

INFORM's documentation is transparent about known data limitations:

  • •Some indicators have incomplete country coverage, requiring imputation or exclusion
  • •Governance and institutional indicators (e.g., World Bank's Worldwide Governance Indicators) are themselves modeled estimates with uncertainty
  • •Conflict data depends on reporting accuracy and may undercount low-intensity or underreported conflicts
  • •Data for small island developing states and fragile states may be less reliable than for larger, better-monitored countries

Strengths

  • •Quantitative and reproducible: Unlike perception-based surveys (WEF), INFORM uses measurable indicators with transparent calculations. Any researcher can reproduce the index from source data.
  • •Global coverage: 191 countries assessed with consistent methodology, enabling direct cross-country comparison.
  • •Operationally grounded: Designed for actual humanitarian decision-making, not academic publishing. Used by OCHA, ECHO, and national disaster management agencies for resource allocation.
  • •Multi-dimensional: The three-dimension model captures that risk is not just about hazards, but about vulnerability and capacity to respond. A high-hazard country with strong institutions is lower risk than a moderate-hazard country with weak governance.
  • •Open source: Full transparency of methodology, data sources, and calculations. This is rare among risk indices.
  • •Regular updates: Biannual updates ensure the index reflects changing conditions, unlike static reports.
  • •Sub-national variants: INFORM has been adapted for sub-national risk assessment in specific regions (e.g., Caucasus, Central Asia), providing more granular analysis.

Blind Spots

  • •Humanitarian focus only: INFORM is designed for humanitarian crisis risk, not for all types of global risk. It does not assess existential risks (AI, nuclear war, asteroid impact), economic risks (financial system collapse, trade disruption), or technological risks (cyber, infrastructure failure).
  • •Indicator lag: Many source indicators (HDI, governance indices) are published with 1-3 year delays. The "current" INFORM score may reflect conditions from years prior in some dimensions.
  • •State-level granularity only: The core index operates at the country level, which masks enormous within-country variation. A country like India or Nigeria contains regions spanning the full 0-10 risk spectrum.
  • •Static hazard models: Natural hazard indicators are based on historical occurrence data and do not incorporate climate change projections in the base model (though the climate-driven variant does).
  • •No cascading risk: INFORM treats each dimension independently. It does not model how a drought (hazard) might trigger conflict (human hazard) which might overwhelm coping capacity in a feedback loop.
  • •Missing novel risks: Pandemics, cyber disruption, and AI-related risks are not captured as distinct hazard categories. The model was designed for traditional humanitarian crises.
  • •Equal weighting assumption: The default equal weighting between dimensions may not reflect reality. In many contexts, governance failure (coping capacity) is more predictive of humanitarian outcomes than raw hazard exposure.

Relevance to Ark Instinct

What we can use:

  • •INFORM's country-level risk scores provide a quantitative baseline for humanitarian vulnerability that can be directly ingested into Ark Instinct's knowledge base. The 191-country coverage and biannual updates make it a reliable data feed.
  • •The three-dimension model (hazard / vulnerability / coping capacity) is a sound conceptual framework that Ark Instinct should adopt and extend. Adding a fourth dimension (systemic/cascading risk) would address INFORM's main analytical gap.
  • •The open-source calculation model is a template for how Ark Instinct should build its own indices: transparent, reproducible, and independently verifiable.
  • •The ACAPS API enables automated data ingestion without manual download.

What we should avoid:

  • •Do not assume INFORM captures all relevant risks. It is excellent for traditional humanitarian crises but completely silent on existential, technological, and economic risks. Ark Instinct must layer INFORM data with other frameworks that cover these domains.
  • •Do not treat the 0-10 scores as precise measurements. The normalization and aggregation introduce compression and information loss. Use INFORM scores as ordinal rankings, not cardinal measures.

Methodology to adopt:

  • •The open-source composite index approach with documented aggregation rules should be the standard for Ark Instinct's own scoring systems.
  • •The biannual update cadence is a good model for our refresh cycle.
  • •The geometric mean aggregation at higher levels (preventing full substitutability between dimensions) is an important methodological choice that Ark Instinct should adopt. A country should not be rated "low risk" just because low hazard exposure compensates for complete governance failure.

Cross-framework integration opportunity: INFORM's country-level vulnerability and coping capacity scores can be directly combined with EM-DAT's historical disaster data (which countries actually experience disasters?) and Metaculus forecasts (what is the probability of specific events in the near future?). This three-layer integration -- past events, current vulnerability, forward probability -- is a core architecture for Ark Instinct's crisis intelligence system.

Sources

  • •European Commission Joint Research Centre. "INFORM Risk Index." https://drmkc.jrc.ec.europa.eu/inform-index/INFORM-Risk (accessed 2026-04-03)
  • •European Commission Joint Research Centre. "INFORM Risk Methodology." https://drmkc.jrc.ec.europa.eu/inform-index/INFORM-Risk/Methodology (accessed 2026-04-03)
  • •European Commission Joint Research Centre. "INFORM Risk — Results and data." https://drmkc.jrc.ec.europa.eu/inform-index/INFORM-Risk/Results-and-data (accessed 2026-04-03)
  • •UNDP Geneva. "INFORM (Index for Risk Management)." https://www.undp.org/geneva/inform-index-risk-management (accessed 2026-04-03)
  • •Humanitarian Data Exchange. "INFORM Country Risk Profiles for 191 countries." https://data.humdata.org/dataset/country-risk-profiles-for-191-countries (accessed 2026-04-03)
  • •Harvard Global Health Education and Learning Incubator. "INFORM GRI 2025: Index for Risk Management." https://repository.gheli.harvard.edu/repository/12774/ (accessed 2026-04-03)

Contributors

  • •entity: nous-aeternos

type: ai-agent role: author date: 2026-04-03