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I-Global Risks Index

The Global Risks Index · TH-02 · Thematic series

Ukunciphisa Umngcipheko Wentlekele (DRR)

Hazard, exposure, vulnerability, capacity, preparedness, redundancy and recovery readings for planning and learning, aligned to the Sendai Framework targets.

Construction Indicators
Page GRX-SER-TH-02Edition Baseline Edition 2026Evidence close 2026-09-30Subject NXS-GRX (canonical data, provenance and risk) mechanismValues not yet publishedMethod v1.0.0-draft
FIG 1 · Series at a glance
Domain indices

3

Multi-hazard exposure · Lack of coping capacity · Infrastructure fragility.

Indicators

156

4 index domains

Hazard families

28

Atmosphere and weather · Water systems · Solid Earth.

Methods

74

Hazard science · Vulnerability, fragility and resilience

Counts from the indicator, hazard and model registries.
3
domain indices
156
indicators in scope
5
hazard domains
4
client groups

01Scope

Scope and questions

This thematic series comes from the a mechanism of the Index (Nexus, DRR, DRF and DRI architecture).

  1. Where would prevention reduce the most risk?
  2. Which preparedness gaps are largest?
  3. How is each country tracking against Sendai targets?
02Construction

Domain indices to the series index

The series index is the expert-weighted geometric mean of its domain indices, with the intervals and class rule of the methodology.

computation

How the Disaster Risk Reduction (DRR) index is built

Graph7 nodes
Graph
01Domain indices
02Series index
03Readings

100%
List
  1. Multi-hazard exposure

    Domain index · IDX · HAZ
    INFORM-style 0–10 index of natural-hazard exposure: the geophysical, flood and coastal, storm and climatological sub-indices plus the multi-hazard population share, combined by a geometric mean of complements (10 minus each score) so that one severe hazard is not averaged away.
  2. Lack of coping capacity

    Domain index · IDX · CRS
    Index on a 0–10 scale of the absence of DRR governance, early warning, risk financing and response capacity (each inverted), together with transport and digital connectivity deficits; higher means less able to cope.
  3. Infrastructure fragility

    Domain index · IDX · INF
    Index of transport and digital connectivity deficits, utility fragility, energy supply unreliability and realised disruption impact on a 0–10 scale, higher meaning more fragile.
  4. Disaster Risk Reduction (DRR) index

    Series index · SERIES · TH-02
    Hazard, exposure, vulnerability, capacity, preparedness, redundancy and recovery readings for planning and learning, aligned to the Sendai Framework targets.
  5. Country readings

    Output · OUTPUT · 195 profiles
    Published with intervals and classes when the edition is released.
  6. Regional readings

    Output · OUTPUT · 5 regions
    Published with intervals and classes when the edition is released.
  7. Global reading

    Output · OUTPUT · population or exposure weighted
    Published with intervals and classes when the edition is released.
Not runIn progressDone
FIG 2. Select a domain index to open its full construction; Simulate run plays the computation. Schematic of the construction; source: Indicator Standard composite definitions.
03Indices

Domain indices in this series

The Global Risks Index · TH-02 · 195 profiles · 0–10 scale
Disaster Risk Reduction (DRR) index, world
–
Values publish with the edition; the interval, class and change appear here.
Isalathiso Ixabiso Tshintsha Change % 90% interval Class · probability Trend Range
Multi-hazard exposureNXS-GRX · HAZ – – – – –
Lack of coping capacityNXS-GRX · CRS – – – – –
Infrastructure fragilityNXS-GRX · INF – – – – –

Domains read: Hazard and exposure, Coping capacity and resilience, Infrastructure, Social and human development.

04Indicators

156 indicators in scope

Every indicator whose primary or secondary domain is in scope, with unit, levels and crosswalks to source code lists.

FIG 3 · Indicators in scope, by domain and sub-domain
HAZ · 53INF · 24SOC · 22CRS · 18
Area is the number of indicator definitions; colour is the pillar the domain feeds (Macroeconomy and Space feed through their indices). Select a block to filter the table. Source: Indicator Standard Nexus Indicator Standard register.
Indicator Domain Sub-domain Component Unit Levels Crosswalks
Unemployment rateIND.MAC.labour.unemployment_rate MAC Labour market vulnerability % COUNTRY WB_WDI SL.UEM.TOTL.ZS SDG 8.5.2 ILO UNE_DEAP_SEX_AGE_RT
Expected annual fiscal cost of disasters, share of GDPIND.FIS.contingent.disaster_fiscal_cost.gdp FIS Contingent liabilities vulnerability % COUNTRY
Household debt, share of GDPIND.FIN.depth.household_debt.gdp FIN Financial depth and inclusion vulnerability % COUNTRY IMF_FSI FSHG_PT
Account ownership, adultsIND.FIN.depth.account_ownership FIN Financial depth and inclusion coping capacity % COUNTRY WB_WDI FX.OWN.TOTL.ZS SDG 8.10.2
Insurance penetration (premiums to GDP)IND.FIN.nbfi.insurance_penetration FIN Non-bank financial intermediation coping capacity % COUNTRY WB_WDI GFDD.DI.09 WB_WDI GFDD.DI.10
Natural-catastrophe protection gapIND.FIN.nbfi.nat_cat_protection_gap FIN Non-bank financial intermediation vulnerability % REGION, COUNTRY
Bank lending exposed to high physical climate riskIND.FIN.climate_finance.physical_risk_lending FIN Climate-related financial exposure exposure % COUNTRY
Seaborne trade exposed to maritime chokepointsIND.ECO.supply_chain.chokepoint_exposure ECO Supply-chain exposure exposure % COUNTRY
Change in very hot days (35 °C or more)IND.CLI.physical_acute.hot_days_change CLI Acute climate extremes hazard d/a COUNTRY, ADM1, CITY, GRID
Assets vulnerable to climate-related physical risks, shareIND.CLI.physical_acute.physical_risk_vulnerable_assets.share CLI Acute climate extremes exposure % SITE, PORTFOLIO IFRS_S2 29(c)
Projected relative sea-level riseIND.CLI.projection.projected_sea_level_rise CLI Scenario projections hazard m COUNTRY, ADM1, CITY, SITE
Population below the future 100-year coastal flood level, shareIND.CLI.projection.slr_coastal_population_exposed.share CLI Scenario projections exposure % COUNTRY, ADM1, CITY WB_WDI EN.POP.EL5M.ZS
National adaptation plan submittedIND.CLI.adaptation.nap_submitted CLI Adaptation readiness adaptive capacity {bool} COUNTRY SDG 13.2.1
Social readiness for adaptationIND.CLI.adaptation.social_readiness CLI Adaptation readiness adaptive capacity {score} COUNTRY ND_GAIN social
International adaptation finance received per capitaIND.CLI.adaptation.adaptation_finance_received.pc CLI Adaptation readiness adaptive capacity [USD] COUNTRY
Population exposed to two or more major hazards, shareIND.HAZ.multi.multi_hazard_exposure.share HAZ Multi-hazard exposure % COUNTRY, ADM1, ADM2, CITY, GRID INFORM HA.NAT
Multi-hazard average annual loss, share of GDPIND.HAZ.multi.aal.gdp HAZ Multi-hazard impact % COUNTRY, ADM1, CITY, PORTFOLIO
Multi-hazard average annual loss, share of produced capital stockIND.HAZ.multi.aal.capital_stock HAZ Multi-hazard impact % COUNTRY, ADM1, CITY, PORTFOLIO
Probable maximum loss at 250-year return period, share of GDPIND.HAZ.multi.pml_rp250.gdp HAZ Multi-hazard impact % COUNTRY, ADM1, PORTFOLIO
Peak ground acceleration at 475-year return periodIND.HAZ.seismic.pga_rp475 HAZ Seismic and volcanic hazard [g] COUNTRY, ADM1, CITY, GRID, SITE UNDRR_HIPS_2025 GH0101 INFORM HA.NAT.EQ
People exposed to strong earthquake shaking, annual averageIND.HAZ.seismic.eq_population_exposed HAZ Seismic and volcanic exposure {persons} COUNTRY, ADM1, CITY, GRID INFORM EX_EQ_MMI8
People exposed to strong earthquake shaking, share of populationIND.HAZ.seismic.eq_population_exposed.share HAZ Seismic and volcanic exposure % COUNTRY, ADM1, CITY
Earthquake average annual loss, share of GDPIND.HAZ.seismic.eq_aal.gdp HAZ Seismic and volcanic impact % COUNTRY, ADM1, CITY, PORTFOLIO
Population within 30 km of a Holocene volcanoIND.HAZ.seismic.volcano_population_30km HAZ Seismic and volcanic exposure {persons} COUNTRY, ADM1, CITY UNDRR_HIPS_2025 GH0203
Probability of damaging volcanic ash fall in 100 yearsIND.HAZ.seismic.ash_fall_probability HAZ Seismic and volcanic hazard 1 COUNTRY, ADM1, CITY, GRID, SITE UNDRR_HIPS_2025 GH0202 EMDAT nat-geo-vol-ash
Extreme still-water sea level at 100-year return periodIND.HAZ.coastal.extreme_sea_level_rp100 HAZ Coastal and sea level hazard m COUNTRY, ADM1, CITY, SITE UNDRR_HIPS_2025 MH0703 EMDAT nat-met-sto-sur
Population in the 100-year coastal floodplain, shareIND.HAZ.coastal.coastal_flood_population_exposed.share HAZ Coastal and sea level exposure % COUNTRY, ADM1, CITY INFORM EX_CFL UNDRR_HIPS_2025 MH0601
Population below 5 m elevation, shareIND.HAZ.coastal.low_elevation_population.share HAZ Coastal and sea level exposure % COUNTRY, ADM1, CITY WB_WDI EN.POP.EL5M.ZS
Tsunami maximum inundation height at 500-year return periodIND.HAZ.coastal.tsunami_inundation_rp500 HAZ Coastal and sea level hazard m COUNTRY, ADM1, CITY, SITE UNDRR_HIPS_2025 MH0705 INFORM HA.NAT.TS
Population exposed to tsunami, shareIND.HAZ.coastal.tsunami_population_exposed.share HAZ Coastal and sea level exposure % COUNTRY, ADM1, CITY INFORM EX_TS EMDAT nat-geo-ear-tsu
Fluvial flood depth at 100-year return periodIND.HAZ.flood.river_flood_depth_rp100 HAZ Flood hazard m ADM1, ADM2, CITY, GRID, SITE UNDRR_HIPS_2025 MH0604 EMDAT nat-hyd-flo-riv
Pluvial and flash flood depth at 100-year return periodIND.HAZ.flood.pluvial_flood_depth_rp100 HAZ Flood hazard m ADM1, ADM2, CITY, GRID, SITE UNDRR_HIPS_2025 MH0603 UNDRR_HIPS_2025 MH0606 EMDAT nat-hyd-flo-fla
People exposed to river flooding, annual averageIND.HAZ.flood.flood_population_exposed HAZ Flood exposure {persons} COUNTRY, ADM1, ADM2, CITY INFORM EX_FL INFORM HA.NAT.FL
People exposed to river flooding, share of populationIND.HAZ.flood.flood_population_exposed.share HAZ Flood exposure % COUNTRY, ADM1, ADM2, CITY
Flood protection design standardIND.HAZ.flood.flood_protection_standard HAZ Flood coping capacity a COUNTRY, ADM1, CITY, SITE
River flood average annual loss, share of GDPIND.HAZ.flood.flood_aal.gdp HAZ Flood impact % COUNTRY, ADM1, CITY, PORTFOLIO
Tropical cyclone wind speed at 100-year return periodIND.HAZ.storm.tc_wind_rp100 HAZ Tropical and severe storms hazard m/s COUNTRY, ADM1, CITY, GRID, SITE UNDRR_HIPS_2025 MH0309 INFORM HA.NAT.TC
Annual probability of category 1 or stronger cyclone windIND.HAZ.storm.tc_cat1_probability HAZ Tropical and severe storms hazard 1 COUNTRY, ADM1, CITY, GRID, SITE
People exposed to category 1 cyclone wind, annual averageIND.HAZ.storm.tc_population_exposed HAZ Tropical and severe storms exposure {persons} COUNTRY, ADM1, CITY INFORM EX_TC_SS1
People exposed to category 1 cyclone wind, share of populationIND.HAZ.storm.tc_population_exposed.share HAZ Tropical and severe storms exposure % COUNTRY, ADM1, CITY
Tropical cyclone average annual loss, share of GDPIND.HAZ.storm.tc_aal.gdp HAZ Tropical and severe storms impact % COUNTRY, ADM1, PORTFOLIO
Large-hail days per yearIND.HAZ.storm.large_hail_days HAZ Tropical and severe storms hazard d/a COUNTRY, ADM1, GRID, SITE UNDRR_HIPS_2025 MH0404 EMDAT nat-met-sto-hai
Days with severe-thunderstorm environmentsIND.HAZ.storm.severe_convective_days HAZ Tropical and severe storms hazard d/a COUNTRY, ADM1, GRID UNDRR_HIPS_2025 MH0103 EMDAT nat-met-sto-sev
Frequency of severe meteorological droughtIND.HAZ.drought.spei_drought_frequency HAZ Drought hazard % COUNTRY, ADM1, GRID UNDRR_HIPS_2025 MH0401 INFORM HA.NAT.DR
Frequency of agricultural drought stressIND.HAZ.drought.agricultural_stress_frequency HAZ Drought hazard % COUNTRY, ADM1, GRID INFORM ASI
People affected by drought, annual average shareIND.HAZ.drought.drought_affected.share HAZ Drought impact % COUNTRY INFORM AFF_DR EMDAT nat-cli-dro-dro
Days of dangerous humid heat per yearIND.HAZ.heat.dangerous_heat_days HAZ Extreme heat hazard d/a COUNTRY, ADM1, CITY, GRID UNDRR_HIPS_2025 MH0501
Heatwave exposure events per personIND.HAZ.heat.heatwave_person_days HAZ Extreme heat exposure d/a COUNTRY, ADM1, CITY
Population exposed to extreme heat, shareIND.HAZ.heat.heat_population_exposed.share HAZ Extreme heat exposure % COUNTRY, ADM1, CITY
Extreme fire-weather days per yearIND.HAZ.wildfire.extreme_fire_weather_days HAZ Wildfire hazard d/a COUNTRY, ADM1, GRID
Annual burned area, share of land areaIND.HAZ.wildfire.burned_area.share HAZ Wildfire hazard % COUNTRY, ADM1, GRID UNDRR_HIPS_2025 EN0205 EMDAT nat-cli-wil-wil
Population in the wildland-urban interface, shareIND.HAZ.wildfire.wui_population.share HAZ Wildfire exposure % COUNTRY, ADM1, CITY
Population in high landslide susceptibility zones, shareIND.HAZ.landslide.landslide_susceptible_population.share HAZ Landslide exposure % COUNTRY, ADM1, ADM2, CITY, GRID UNDRR_HIPS_2025 GH0300
Fatal landslide deaths per 100,000, annual averageIND.HAZ.landslide.fatal_landslide_rate HAZ Landslide impact /10*5 COUNTRY, ADM1 EMDAT nat-hyd-mmw-lan
Population near major-hazard industrial sites, shareIND.HAZ.technological.major_hazard_site_population.share HAZ Technological exposure % COUNTRY, ADM1, CITY UNDRR_HIPS_2025 TL0304 UNDRR_HIPS_2025 TL0309
Population within 30 km of an operating nuclear reactorIND.HAZ.technological.nuclear_population_30km HAZ Technological exposure {persons} COUNTRY, ADM1, CITY UNDRR_HIPS_2025 TL0208
Industrial accident deaths per 100,000, annual averageIND.HAZ.technological.industrial_accident_deaths HAZ Technological impact /10*5 COUNTRY EMDAT tec-ind-ind-ind
Built-up surface areaIND.HAZ.exposure.built_up_area HAZ Ukuchaphazeleka context km2 COUNTRY, ADM1, ADM2, CITY, GRID
Produced capital stockIND.HAZ.exposure.capital_stock HAZ Ukuchaphazeleka context [USD] COUNTRY, ADM1, PORTFOLIO
Built-up area in high-hazard zonesIND.HAZ.exposure.built_up_exposed HAZ Ukuchaphazeleka exposure km2 COUNTRY, ADM1, ADM2, CITY, GRID
Built-up area in high-hazard zones, shareIND.HAZ.exposure.built_up_exposed.share HAZ Ukuchaphazeleka exposure % COUNTRY, ADM1, ADM2, CITY
GDP generated in high-hazard zones, shareIND.HAZ.exposure.gdp_exposed.share HAZ Ukuchaphazeleka exposure % COUNTRY, ADM1, CITY
Disaster deaths and missing persons per 100,000IND.HAZ.loss.deaths_missing_rate HAZ Losses and impacts impact /10*5 COUNTRY, ADM1 SENDAI A-1 SDG 1.5.1
People directly affected by disasters per 100,000IND.HAZ.loss.directly_affected_rate HAZ Losses and impacts impact /10*5 COUNTRY, ADM1 SENDAI B-1 SDG 1.5.1
Direct economic loss from disasters, share of GDPIND.HAZ.loss.direct_economic_loss.gdp HAZ Losses and impacts impact % COUNTRY, ADM1 SENDAI C-1 SDG 1.5.2
Recorded disaster deaths per 100,000, 30-year averageIND.HAZ.loss.recorded_disaster_deaths HAZ Losses and impacts impact /10*5 COUNTRY, ADM1 EMDAT Total Deaths
Recorded people affected by disasters per 100,000, 30-year averageIND.HAZ.loss.recorded_disaster_affected HAZ Losses and impacts impact /10*5 COUNTRY, ADM1 EMDAT Total Affected
Recorded disaster damage, share of GDP, 30-year averageIND.HAZ.loss.recorded_disaster_damage.gdp HAZ Losses and impacts impact % COUNTRY EMDAT Total Damage, Adjusted ('000 US$)
Road densityIND.ENV.land.road_density ENV Land and forests hazard km/km2 COUNTRY, ADM1, ADM2, CITY, GRID
Municipal solid waste managed in controlled facilitiesIND.ENV.pollution.msw_controlled_management.share ENV Pollution and waste coping capacity % COUNTRY, CITY SDG 11.6.1 EPI MSW
Wastewater flows safely treatedIND.WAT.quality.wastewater_safely_treated.share WAT Water quality coping capacity % COUNTRY, CITY SDG 6.3.1 EPI WWT
GDP in GNSS-dependent activities, shareIND.SPC.dependence.gnss_dependent_gdp.share SPC Space-service dependence exposure % COUNTRY, PORTFOLIO UNDRR_HIPS_2025 ET0102
Critical services relying on satellites without backup, shareIND.SPC.dependence.satellite_service_exposure.share SPC Space-service dependence vulnerability % COUNTRY
High-voltage grid in high geoelectric hazard zones, shareIND.SPC.dependence.grid_gic_exposure.share SPC Space-service dependence exposure % COUNTRY, ADM1
Population with catastrophic out-of-pocket health spendingIND.HLT.system.catastrophic_oop HLT Health system capacity vulnerability % COUNTRY SDG 3.8.2 WB_WDI SH.UHC.OOPC.10.ZS
Travel time to the nearest health facilityIND.HLT.system.health_facility_travel_time HLT Health system capacity vulnerability min COUNTRY, ADM1, ADM2, CITY, GRID
IHR health emergency management capacity (SPAR C7)IND.HLT.security.spar_emergency_management HLT Health security (IHR) coping capacity {score} COUNTRY SPAR C7 WHO_GHO IHRSPAR2_C07 JEE R1
Cost of a healthy dietIND.FOO.access.healthy_diet_cost FOO Access and affordability vulnerability [USD] COUNTRY WB_WDI CoHD_PPP
Population unable to afford a healthy dietIND.FOO.access.healthy_diet_unaffordable FOO Access and affordability vulnerability % COUNTRY WB_WDI CoHD_headcount
Employment in agriculture, share of total employmentIND.FOO.agriculture.agri_employment_share FOO Agricultural production and dependence vulnerability % COUNTRY WB_WDI SL.AGR.EMPL.ZS
Extreme poverty headcount, USD 3.00 a day (2021 PPP)IND.SOC.poverty.extreme_poverty.usd300 SOC Poverty vulnerability % COUNTRY WB_WDI SI.POV.DDAY SDG 1.1.1
Poverty headcount, USD 4.20 a day (2021 PPP)IND.SOC.poverty.poverty.usd420 SOC Poverty vulnerability % COUNTRY WB_WDI SI.POV.LMIC
Poverty headcount, USD 8.30 a day (2021 PPP)IND.SOC.poverty.poverty.usd830 SOC Poverty vulnerability % COUNTRY WB_WDI SI.POV.UMIC
Poverty headcount at the national poverty lineIND.SOC.poverty.national_poverty SOC Poverty vulnerability % COUNTRY, ADM1 WB_WDI SI.POV.NAHC SDG 1.2.1
Multidimensional poverty headcount (global MPI)IND.SOC.poverty.multidimensional_poverty SOC Poverty vulnerability % COUNTRY, ADM1 SDG 1.2.2 WB_WDI SI.POV.MPWB
Gini indexIND.SOC.inequality.gini SOC Inequality vulnerability {score} COUNTRY WB_WDI SI.POV.GINI
Income or consumption share of the bottom 40 percentIND.SOC.inequality.bottom40_income_share SOC Inequality vulnerability % COUNTRY WB_WDI SI.DST.FRST.20
Growth of consumption or income of the bottom 40 percentIND.SOC.inequality.bottom40_growth SOC Inequality adaptive capacity % COUNTRY WB_WDI SI.SPR.PC40.ZG SDG 10.1.1
Loss in human development due to inequalityIND.SOC.inequality.human_development_loss SOC Inequality vulnerability % COUNTRY HDR loss
Mean years of schoolingIND.SOC.education.mean_years_schooling SOC Education adaptive capacity a COUNTRY HDR mys
Expected years of schoolingIND.SOC.education.expected_years_schooling SOC Education adaptive capacity a COUNTRY HDR eys
Learning povertyIND.SOC.education.learning_poverty SOC Education vulnerability % COUNTRY WB_WDI SE.LPV.PRIM SDG 4.1.1
Adult literacy rateIND.SOC.education.adult_literacy SOC Education adaptive capacity % COUNTRY WB_WDI SE.ADT.LITR.ZS SDG 4.6.1
Gender Inequality Index (UNDP)IND.SOC.gender.gender_inequality_index SOC Gender vulnerability {score} COUNTRY HDR gii
Female labour-force participation rateIND.SOC.gender.female_labour_participation SOC Gender adaptive capacity % COUNTRY WB_WDI SL.TLF.CACT.FE.ZS
Seats held by women in national parliamentIND.SOC.gender.women_in_parliament SOC Gender adaptive capacity % COUNTRY WB_WDI SG.GEN.PARL.ZS SDG 5.5.1
Population covered by at least one social protection benefitIND.SOC.protection.social_protection_coverage SOC Social protection coping capacity % COUNTRY SDG 1.3.1 ILO SDG_0131_SEX_SOC_RT WB_WDI per_allsp.cov_pop_tot
Youth not in employment, education or trainingIND.SOC.protection.youth_neet SOC Social protection vulnerability % COUNTRY WB_WDI SL.UEM.NEET.ZS SDG 8.6.1 ILO SDG_0861_SEX_RT
Informal employment, share of total employmentIND.SOC.protection.informal_employment SOC Social protection vulnerability % COUNTRY SDG 8.3.1 ILO SDG_0831_SEX_ECO_RT WB_WDI SL.ISV.IFRM.ZS
Children aged 5 to 17 in child labourIND.SOC.protection.child_labour SOC Social protection vulnerability % COUNTRY SDG 8.7.1 ILO SDG_B871_SEX_AGE_RT WB_WDI SL.TLF.0714.ZS
Human Development Index (UNDP)IND.SOC.development.hdi SOC Human development adaptive capacity {score} COUNTRY HDR hdi
Inequality-adjusted Human Development Index (UNDP)IND.SOC.development.ihdi SOC Human development adaptive capacity {score} COUNTRY HDR ihdi
Urban population, share of totalIND.DEM.urbanisation.urban_share DEM Urbanisation context % COUNTRY WB_WDI SP.URB.TOTL.IN.ZS
Urban population growthIND.DEM.urbanisation.urban_growth DEM Urbanisation vulnerability % COUNTRY WB_WDI SP.URB.GROW
Urban population living in slumsIND.DEM.urbanisation.slum_share DEM Urbanisation vulnerability % COUNTRY WB_WDI EN.POP.SLUM.UR.ZS SDG 11.1.1
Internally displaced people, disasters (stock)IND.DEM.displacement.idp_disaster DEM Forced displacement impact {persons} COUNTRY, ADM1 IDMC disaster_total_displacement
Internally displaced people, per 100,000 populationIND.DEM.displacement.idp_total.p100k DEM Forced displacement impact /10*5 COUNTRY
New internal displacements, disastersIND.DEM.displacement.new_displacement_disaster DEM Forced displacement impact 1 COUNTRY, ADM1 IDMC disaster_new_displacement WB_WDI VC.IDP.NWDS
New internal displacements, per 100,000 populationIND.DEM.displacement.new_displacement.p100k DEM Forced displacement impact /10*5 COUNTRY
Government effectiveness (WGI)IND.GOV.quality.government_effectiveness GOV Governance quality coping capacity {score} COUNTRY WB_WGI GOV_WGI_GE.SC WB_WGI GOV_WGI_GE.EST
Power outages experienced by firms in a typical monthIND.ENE.reliability.firm_power_outages ENE Reliability vulnerability /mo COUNTRY WB_WDI IC.ELC.OUTG
System average interruption duration (SAIDI)IND.ENE.reliability.saidi ENE Reliability vulnerability h/a COUNTRY, ADM1, CITY ISO_37120 ISO 37120:2018
System average interruption frequency (SAIFI)IND.ENE.reliability.saifi ENE Reliability vulnerability /a COUNTRY, ADM1, CITY ISO_37120 ISO 37120:2018
Rural population within 2 km of an all-season roadIND.INF.transport.rural_road_access INF Transport coping capacity % COUNTRY, ADM1 SDG 9.1.1
Logistics performanceIND.INF.transport.logistics_performance INF Transport coping capacity {score} COUNTRY WB_WDI LP.LPI.OVRL.XQ
Liner shipping connectivity relative to the frontierIND.INF.transport.liner_shipping_connectivity INF Transport coping capacity % COUNTRY WB_WDI IS.SHP.GCNW.XQ
Air passengers carried per capitaIND.INF.transport.air_passengers.pc INF Transport coping capacity {passengers}/a/{person} COUNTRY WB_WDI IS.AIR.PSGR
Urban population with convenient access to public transportIND.INF.transport.public_transport_access INF Transport coping capacity % CITY, ADM1, COUNTRY SDG 11.2.1 ISO_37120 ISO 37120:2018
Road and rail network in high-hazard zones, shareIND.INF.transport.network_exposed.share INF Transport exposure % COUNTRY, ADM1, ADM2, CITY, GRID
Individuals using the InternetIND.INF.digital.internet_users INF Digital connectivity coping capacity % COUNTRY, ADM1, CITY SDG 17.8.1 WB_WDI IT.NET.USER.ZS
Population covered by a mobile network, by technologyIND.INF.digital.mobile_network_coverage INF Digital connectivity coping capacity % COUNTRY, ADM1 SDG 9.c.1
Fixed broadband subscriptions per 100 inhabitantsIND.INF.digital.fixed_broadband INF Digital connectivity coping capacity /10*2 COUNTRY, ADM1 SDG 17.6.1 WB_WDI IT.NET.BBND.P2
International connectivity route redundancyIND.INF.digital.international_connectivity_redundancy INF Digital connectivity coping capacity 1 COUNTRY
Hours of national-scale internet disruptionIND.INF.digital.internet_disruption_hours INF Digital connectivity impact h/a COUNTRY
Power grid resilienceIND.INF.utilities.power_grid_resilience INF Utilities coping capacity {score} COUNTRY, ADM1, CITY ISO_37123 ISO 37123:2019
Water supply network resilienceIND.INF.utilities.water_network_resilience INF Utilities coping capacity {score} COUNTRY, ADM1, CITY ISO_37123 ISO 37123:2019
Critical facilities with 72-hour back-up powerIND.INF.utilities.critical_facility_backup_power INF Utilities coping capacity % COUNTRY, ADM1, CITY ISO_37123 ISO 37123:2019
Water supply assets in high-hazard zones, shareIND.INF.utilities.water_assets_exposed.share INF Utilities exposure % COUNTRY, ADM1, ADM2, CITY, GRID
Power generation and grid assets in high-hazard zones, shareIND.INF.utilities.power_assets_exposed.share INF Utilities exposure % COUNTRY, ADM1, ADM2, CITY, GRID
Lifeline facilities in high-hazard zones, shareIND.INF.utilities.lifeline_facilities_exposed.share INF Utilities exposure % COUNTRY, ADM1, ADM2, CITY, GRID
Infrastructure investment gap, share of GDPIND.INF.utilities.infrastructure_investment_gap.gdp INF Utilities vulnerability % COUNTRY
City electricity interruption hours per customerIND.INF.urban.power_interruption_hours INF Urban systems vulnerability h/a CITY ISO_37120 ISO 37120:2018
Critical infrastructure units damaged or destroyed by disastersIND.INF.disruption.critical_infrastructure_damage INF Service disruption impact 1 COUNTRY, ADM1 SENDAI D-1 SDG 11.5.2
Health facilities damaged or destroyed by disastersIND.INF.disruption.health_facilities_damaged INF Service disruption impact 1 COUNTRY, ADM1 SENDAI D-2
Educational facilities damaged or destroyed by disastersIND.INF.disruption.education_facilities_damaged INF Service disruption impact 1 COUNTRY, ADM1 SENDAI D-3
Disruptions to basic services attributed to disastersIND.INF.disruption.basic_service_disruptions INF Service disruption impact 1 COUNTRY, ADM1 SENDAI D-5
Direct economic loss to critical infrastructure, share of GDPIND.INF.disruption.critical_infrastructure_loss.gdp INF Service disruption impact % COUNTRY, ADM1 SENDAI C-5
Cyber incidents disrupting critical servicesIND.CYB.incidents.critical_sector_incidents CYB Incidents impact 1 COUNTRY
National DRR strategy aligned with the Sendai FrameworkIND.CRS.drr.national_drr_strategy CRS DRR strategy coping capacity {score} COUNTRY SENDAI E-1 SDG 1.5.3 SDG 11.b.1 SDG 13.1.2
Local governments with DRR strategies aligned to the national strategyIND.CRS.drr.local_drr_strategies CRS DRR strategy coping capacity % COUNTRY, ADM1 SENDAI E-2 SDG 1.5.4 SDG 11.b.2 SDG 13.1.3
Multi-hazard early warning system scoreIND.CRS.warning.mhews_score CRS Early warning coping capacity {score} COUNTRY SENDAI G-1
Multi-hazard monitoring and forecasting systemsIND.CRS.warning.monitoring_forecasting CRS Early warning coping capacity {score} COUNTRY SENDAI G-2
People covered by early warning informationIND.CRS.warning.early_warning_coverage CRS Early warning coping capacity /10*5 COUNTRY, ADM1 SENDAI G-3
Local governments with a plan to act on early warningsIND.CRS.warning.local_warning_action_plans CRS Early warning coping capacity % COUNTRY, ADM1 SENDAI G-4
Accessible disaster risk information and assessmentIND.CRS.warning.risk_information_access CRS Early warning coping capacity {score} COUNTRY SENDAI G-5
Exposed population protected by pre-emptive evacuationIND.CRS.warning.preemptive_evacuation CRS Early warning coping capacity % COUNTRY, ADM1 SENDAI G-6
Disaster risk financing strategy adoptedIND.CRS.financing.drf_strategy CRS Risk financing and protection gap coping capacity {bool} COUNTRY
Participation in a sovereign regional risk poolIND.CRS.financing.regional_risk_pool_membership CRS Risk financing and protection gap coping capacity {bool} COUNTRY
Pre-arranged contingent disaster credit, share of GDPIND.CRS.financing.contingent_credit.gdp CRS Risk financing and protection gap coping capacity % COUNTRY
Sovereign catastrophe risk transfer limit, share of GDPIND.CRS.financing.risk_transfer_cover.gdp CRS Risk financing and protection gap coping capacity % COUNTRY
Natural-catastrophe insurance protection gapIND.CRS.financing.insurance_protection_gap CRS Risk financing and protection gap vulnerability % COUNTRY
Non-life insurance premiums, share of GDPIND.CRS.financing.non_life_insurance_penetration CRS Risk financing and protection gap coping capacity % COUNTRY
Population within 15 minutes of emergency servicesIND.CRS.response.emergency_service_access CRS Response capacity coping capacity % COUNTRY, ADM1, CITY ISO_37120 ISO 37120:2018
INSARAG-classified urban search and rescue teamIND.CRS.response.usar_classification CRS Response capacity coping capacity {bool} COUNTRY
International official support for DRR received, share of GDPIND.CRS.response.international_drr_support.gdp CRS Response capacity coping capacity % COUNTRY SENDAI F-1
Shock-responsive social protection readinessIND.CRS.response.shock_responsive_social_protection CRS Response capacity coping capacity {score} COUNTRY
05Iingozi

Hazard families this series reads

families, each crosswalked to the UNDRR–ISC Hazard Information Profiles (2025) where a profile exists.

FIG 4 · Hazard families this series reads
AtmosphereWaterIceSolidUmhlaba199HAZARDS
5 hazard domains (inner ring) and 28 families (outer ring), sized by hazard count. Select a segment to filter the table below. Source: Hazard Standard Nexus Hazard Standard.
Family Domain Iingozi Count
Convective storms Atmosphere and weather Thunderstorm, Lightning strike, Downburst, Tornado, Waterspout, Hail, Squall, Derecho … 11
Cyclonic storm systems Atmosphere and weather Tropical cyclone, Subtropical cyclone, Extratropical cyclone, Low-pressure system, Mediterranean tropical-like cyclone, Polar low, Rapid cyclone intensification, Explosive cyclogenesis 8
Damaging wind Atmosphere and weather Windstorm, Gale, Downslope windstorm, Clear-air turbulence 4
Precipitation extremes Atmosphere and weather Intense rainfall, Heavy snowfall, Snowstorm, Blizzard, Lake-effect snow band, Freezing rain, Structural icing 7
Thermal extremes Atmosphere and weather Heatwave, Humid heat stress, Cold wave, Livestock winter disaster, Hard freeze, Frost, Rapid thaw, Extreme night-time heat … 9
Airborne particles and low visibility Atmosphere and weather Fog, Dust storm, Dust haze, Haze, Smoke plume, Airborne allergen surge 6
Large-scale circulation anomalies Atmosphere and weather Atmospheric river, Atmospheric blocking, Tropical Pacific climate swing, Monsoon failure, Polar vortex disruption, Indian Ocean dipole event, North Atlantic pressure-seesaw extreme 7
Surface radiation extremes Atmosphere and weather Extreme ultraviolet exposure, Stratospheric ozone loss episode 2
Freshwater inundation Water systems River flood, Flash flood, Surface-water flood, Groundwater flood, Snowmelt flood, Ice-jam flood, Reservoir release flood, Natural-dam outburst flood … 9
Water deficit Water systems Meteorological drought, Agricultural drought, Hydrological drought, Groundwater depletion, Flash drought, Water supply shortfall, Megadrought, Lake and inland sea desiccation … 9
Coastal and sea-level hazards Water systems Storm surge, Storm tide, Coastal flood, Estuary flood, High-tide flooding, Tsunami, Seiche, Rogue wave … 13
Ocean-state extremes Water systems Marine heatwave, Ocean acidification, Marine oxygen depletion, Upper-ocean stratification increase, Marine cold spell, Lake and river heatwave 6
Water-quality degradation Water systems Eutrophication, Harmful algal bloom, Freshwater salinisation, Sargassum seaweed influx 4
Fault shaking and rupture Solid Earth Earthquake, Induced earthquake, Aftershock sequence, Fault surface rupture, Soil liquefaction, Ground fissure, Earthquake swarm 7
Eruption products and unrest Solid Earth Volcanic unrest, Lava flow, Volcanic ash fall, Volcanic ash cloud, Volcanic ballistic projectiles, Pyroclastic flow, Lahar, Volcanic gas and aerosol emission … 12
Slope failure and mass movement Solid Earth Rockfall, Topple, Slope slide, Lateral spread, Debris flow, Earthflow and mudflow, Rock avalanche, Submarine landslide … 9
Ground deformation and subsidence Solid Earth Land subsidence, Crustal uplift, Sinkhole, Shrink-swell soil movement, Soft-soil settlement, Ground gas seepage, Mining-induced subsidence 7
Erosion and sediment movement Solid Earth Soil erosion, River bank erosion, Coastal erosion, Dune encroachment, Reservoir and channel siltation, River avulsion, Delta sediment starvation 7
Seabed and deep-sea hazards Solid Earth Turbidity current, Submarine volcanic eruption, Seabed gas escape, Pumice raft, Deep-sea mining disturbance 5
Snowpack hazards Ice and snow Snow avalanche, Snow drought, Rain-on-snow event 3
Glacier, ice-sheet and permafrost change Ice and snow Glacial lake outburst flood, Glacier or ice-mass collapse, Glacier mass loss, Ice-sheet mass loss, Permafrost thaw, Ice-shelf disintegration, Subglacial outburst flood, Glacier surge … 10
Floating ice Ice and snow Sea ice, Iceberg and ice-floe drift, Sea-ice loss, Lake and river ice loss, Shoreline ice shove 5
Vegetation and peat fire Land and ecosystems Extreme fire weather, Wildfire, Wildland-urban interface fire, Peat and underground fire, Fire regime shift 5
Forest and woodland stress Land and ecosystems Deforestation, Forest dieback, Large forest disturbance, Forest pest invasion, Native forest insect outbreak 5
Land and wetland degradation Land and ecosystems Land degradation, Desertification, Soil quality decline, Soil salinisation and sodicity, Wetland loss, Mangrove loss, Peatland drainage and degradation, Soil sealing … 9
Biodiversity and species stress Land and ecosystems Biodiversity loss, Coral bleaching, Pollinator decline, Fishery collapse, Mass wildlife mortality, Human-wildlife conflict, Wildlife disease panzootic, Insect decline … 12
Climate-state shifts Land and ecosystems Abrupt climate-system shift, Volcanic cooling 2
Ecosystem regime shifts Land and ecosystems Kelp forest collapse, Seagrass meadow loss, Lake clear-to-turbid shift, Woody plant encroachment, Coastal habitat squeeze, Food-web collapse 6
06Methods

Method libraries

Each method has a reference implementation or declares the specialist model, data or adapter it still needs; none is promoted beyond its evidence.

37 methods

Hazard science

Hazard Intensity Footprint Screening · Earthquake Hazard · Earthquake Ground Motion · Earthquake Rupture · Liquefaction · Landslide · Tsunami …

19 methods

Vulnerability, fragility and resilience

Simple Vulnerability Factor Screening · Fragility Curve · Vulnerability Curve · Multi-State Damage · Component Fragility · Structural Vulnerability · Infrastructure Fragility …

18 methods

Consequence and loss

Direct Physical Loss · Indirect Economic Loss · Downtime · Service Continuity · Casualty · Displacement · Business Interruption …

07Users

Who uses it

Governments and national risk agencies

Prioritise prevention and preparedness. Plan with subnational layers. Track Sendai targets. Co-develop a national index.

UN system and humanitarian organisations

Compare needs across contexts with intervals. Watch weekly signals for review. Read outlooks for anticipatory planning.

Civil society and NGOs

Target programmes. Use open profiles. Contribute local evidence.

International financial institutions and development banks

Screen country and project context. Read fiscal resilience and protection gaps. Design pre-arranged finance questions.

08Iingxelo

Nexus Reports

No Nexus Reports edition carries this code; thematic readings appear inside country, sector and global editions.

09Cite

Cite and reuse

GCRI Canada (2026). The Global Risks Index (NXS-GRX (canonical data, provenance and risk)): Disaster Risk Reduction (DRR) series (GRX-SER-TH-02), Baseline Edition 2026. Preparatory working draft. https://risksindex.com/series/th-02/ UNI NXS-GRX-AR-000109.
Series key
grix:SER.TH-02:{ISO3}:{YEAR}:A
Domain keys
nis:IDX.HAZ.multi.hazard_exposure:{ISO3}:{YEAR}:A nis:IDX.CRS.response.lack_of_coping_capacity:{ISO3}:{YEAR}:A nis:IDX.INF.disruption.infrastructure_fragility:{ISO3}:{YEAR}:A

Every country reads this series

Each country profile carries the domain indices this series is built from.

Country profiles All series

Imeko

The methodology, structure and definitions of The Global Risks Index are a preparatory working draft (2026), circulated for review and comment and not for implementation. No value appears until an edition is released from a governed evidence cut; values then carry intervals, classes, sources and their correction pathway. Simulators run the published methods on numbers you choose and never show a NXS-GRX value.

What NXS-GRX is not

NXS-GRX is research and risk-analytics information. It is not a credit or ESG rating and uses no rating scale, not a benchmark for financial instruments, not official statistics, not an emergency warning or official classification, and not advice. It must not be used to evaluate natural persons. Risk classes are bands on a published scale, never rankings of countries or people.

Institutions and sources

The Nexus Consortium is stewarded by three independent not-for-profit institutions: The Global Centre for Risk and Innovation (GCRI), through GCRI US in Washington, DC and GCRI Canada in Ontario, with GCRI Canada as Lead Institution, Consortium Secretariat and lead contracting organisation; The Global Risks Forum (GRF); and The Global Risks Alliance (GRA). Technology, infrastructure and service providers work with the Consortium at arm’s length under written agreements, like every other external party in the public-private-planet model, and hold no role in its stewardship.

Every value carries the attribution of its sources, which keep their own licences. External names are cited for interoperability only. Nexus-authored text is intended for CC BY 4.0 on release.

Avis en français

La méthodologie et les définitions du NXS-GRX sont un projet de travail préparatoire (2026). Le NXS-GRX est une information de recherche et d’analyse des risques : ni notation, ni indice de référence financier, ni statistique officielle, ni alerte, ni conseil. Les classes de risque sont des bandes sur une échelle publiée, non des classements.