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I-Global Risks Index

The Global Risks Index · GS-12 · Global sector series

Global Earth observation

What Earth observation can and cannot see of risk: coverage, revisit, latency and the observing systems behind NXS-GRX (canonical data, provenance and risk).

Construction Indicators
Page GRX-SER-GS-12Edition Baseline Edition 2026Evidence close 2026-09-30Subject Nexus ReportsNexus Reports GS-12 (planned)Values not yet publishedMethod v1.0.0-draft
FIG 1 · Series at a glance
Domain indices

6

Climate physical hazard · Climate transition exposure · Multi-hazard exposure · Environmental pressure.

Indicators

150

5 index domains

Hazard families

23

Space and near-Earth · Atmosphere and weather · Land and ecosystems.

Methods

79

Hazard science · Risk data

Counts from the indicator, hazard and model registries.
6
domain indices
150
indicators in scope
4
hazard domains
4
client groups

01Scope

Scope and questions

The subject is the one named by the Nexus Reports programme for this code.

  1. Where does observation coverage leave risk unseen?
  2. Which indices depend on a single observing system?
  3. How quickly can observation confirm an event?
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 Global Earth observation index is built

Graph10 nodes
Graph
01Domain indices
02Series index
03Readings

100%
List
  1. Climate physical hazard

    Domain index · IDX · CLI
    0–10 index of physical climate hazard combining chronic change, observed extremes and projected change (projection sub-index taken at SSP2-4.5, 2041–2060 by default, with other scenarios as alternative runs).
  2. Climate transition exposure

    Domain index · IDX · CLI
    0–10 index of an economy’s exposure to a low-carbon transition, combining transition exposure (fossil rents, fuel exports, subsidies) and emissions intensity (per capita and per unit of GDP).
  3. 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.
  4. Environmental pressure

    Domain index · IDX · ENV
    0–10 index of environmental pressure and ecosystem condition combining air pollution, land and forest degradation, biodiversity status, ocean condition and waste pressure.
  5. Space-weather exposure

    Domain index · IDX · SPC
    0–10 index of space-weather exposure as the product of the space-weather hazard and space-service dependence sub-indices; mostly modelled and expert inputs, so its grade is capped.
  6. Technology concentration risk

    Domain index · IDX · TEC
    Index of technology dependence, critical-mineral dependence and, inverted, innovation capacity and biosecurity oversight, on a 0–10 scale, higher meaning riskier.
  7. Global Earth observation index

    Series index · SERIES · GS-12
    What Earth observation can and cannot see of risk: coverage, revisit, latency and the observing systems behind NXS-GRX.
  8. Country readings

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

    Output · OUTPUT · 5 regions
    Published with intervals and classes when the edition is released.
  10. 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 · GS-12 · 195 profiles · 0–10 scale
Global Earth observation index, world
–
Values publish with the edition; the interval, class and change appear here.
Isalathiso Ixabiso Tshintsha Change % 90% interval Class · probability Trend Range
Climate physical hazardNXS-GRX · CLI – – – – –
Climate transition exposureNXS-GRX · CLI – – – – –
Multi-hazard exposureNXS-GRX · HAZ – – – – –
Environmental pressureNXS-GRX · ENV – – – – –
Space-weather exposureNXS-GRX · SPC – – – – –
Technology concentration riskNXS-GRX · TEC – – – – –

Domains read: Hazard and exposure, Climate, Environment and biodiversity, Space environment, Technology and frontier.

04Indicators

150 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 · 53CLI · 31ENV · 22TEC · 8SPC · 6
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
Expected annual fiscal cost of disasters, share of GDPIND.FIS.contingent.disaster_fiscal_cost.gdp FIS Contingent liabilities vulnerability % COUNTRY
Natural-catastrophe protection gapIND.FIN.nbfi.nat_cat_protection_gap FIN Non-bank financial intermediation vulnerability % REGION, COUNTRY
Bank exposure to carbon-intensive sectorsIND.FIN.climate_finance.carbon_intensive_exposure FIN Climate-related financial exposure exposure % COUNTRY
Bank lending exposed to high physical climate riskIND.FIN.climate_finance.physical_risk_lending FIN Climate-related financial exposure exposure % COUNTRY
Natural-resource rents, share of GDPIND.ECO.concentration.natural_resource_rents.gdp ECO Export and import concentration vulnerability % COUNTRY WB_WDI NY.GDP.TOTL.RT.ZS
Net import reliance for critical mineralsIND.ECO.concentration.critical_minerals_import_reliance ECO Export and import concentration vulnerability % COUNTRY
Surface warming since pre-industrialIND.CLI.physical_chronic.warming_since_preindustrial CLI Chronic physical change hazard K GLOBAL, REGION, COUNTRY, ADM1, GRID FAO_FAOSTAT ET
Change in annual precipitationIND.CLI.physical_chronic.precipitation_change CLI Chronic physical change hazard % COUNTRY, ADM1, GRID
Relative sea-level rise rateIND.CLI.physical_chronic.relative_sea_level_trend CLI Chronic physical change hazard mm/a COUNTRY, ADM1, CITY, SITE UNDRR_HIPS_2025 EN0402
Hottest day of the year (TXx)IND.CLI.physical_acute.txx CLI Acute climate extremes hazard Cel COUNTRY, ADM1, CITY, GRID
Share of warm days (TX90p)IND.CLI.physical_acute.tx90p CLI Acute climate extremes hazard % COUNTRY, ADM1, GRID
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
Warm spell duration (WSDI)IND.CLI.physical_acute.warm_spell_duration CLI Acute climate extremes hazard d/a COUNTRY, ADM1, GRID
Wettest day of the year (Rx1day)IND.CLI.physical_acute.rx1day CLI Acute climate extremes hazard mm COUNTRY, ADM1, CITY, GRID
Wettest five days of the year (Rx5day)IND.CLI.physical_acute.rx5day CLI Acute climate extremes hazard mm COUNTRY, ADM1, GRID
Precipitation from very wet days (R95pTOT)IND.CLI.physical_acute.very_wet_day_share CLI Acute climate extremes hazard % COUNTRY, ADM1, GRID
Longest dry spell (CDD)IND.CLI.physical_acute.consecutive_dry_days CLI Acute climate extremes hazard d COUNTRY, ADM1, 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 warming since pre-industrialIND.CLI.projection.projected_warming CLI Scenario projections hazard K GLOBAL, REGION, COUNTRY, ADM1, GRID
Projected change in hottest-day temperatureIND.CLI.projection.projected_txx_change CLI Scenario projections hazard K COUNTRY, ADM1, GRID
Projected change in wettest five-day precipitationIND.CLI.projection.projected_rx5day_change CLI Scenario projections hazard % COUNTRY, ADM1, GRID
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
Total greenhouse gas emissions excluding LULUCFIND.CLI.emissions.ghg_total CLI Emissions exposure Mt/a COUNTRY WB_WDI EN.GHG.ALL.MT.CE.AR5 SDG 13.2.2
Greenhouse gas emissions per capitaIND.CLI.emissions.ghg_per_capita CLI Emissions exposure t/a/{person} COUNTRY WB_WDI EN.GHG.ALL.PC.CE.AR5 EPI GHP
Carbon intensity of GDPIND.CLI.emissions.carbon_intensity_gdp CLI Emissions exposure kg/[USD] COUNTRY WB_WDI EN.GHG.CO2.RT.GDP.KD SDG 9.4.1
Financed emissions of a portfolioIND.CLI.emissions.financed_emissions CLI Emissions exposure Mt/a PORTFOLIO IFRS_S2 29(a)(vi)
Fossil-fuel rents, share of GDPIND.CLI.transition.fossil_fuel_rents.gdp CLI Transition exposure exposure % COUNTRY WB_WDI NY.GDP.PETR.RT.ZS WB_WDI NY.GDP.NGAS.RT.ZS WB_WDI NY.GDP.COAL.RT.ZS
Fuel exports, share of merchandise exportsIND.CLI.transition.fossil_fuel_exports.share CLI Transition exposure exposure % COUNTRY WB_WDI TX.VAL.FUEL.ZS.UN
Explicit fossil-fuel subsidies, share of GDPIND.CLI.transition.fossil_fuel_subsidies.gdp CLI Transition exposure exposure % COUNTRY
Assets vulnerable to climate-related transition risks, shareIND.CLI.transition.transition_risk_vulnerable_assets.share CLI Transition exposure exposure % PORTFOLIO IFRS_S2 29(b)
NDC 2030 economy-wide emissions targetIND.CLI.transition.ndc_target_ambition CLI Transition exposure response % COUNTRY SDG 13.2.1
National adaptation plan submittedIND.CLI.adaptation.nap_submitted CLI Adaptation readiness adaptive capacity {bool} COUNTRY SDG 13.2.1
Economic readiness for adaptation investmentIND.CLI.adaptation.economic_readiness CLI Adaptation readiness adaptive capacity {score} COUNTRY ND_GAIN economic
Governance readiness for adaptationIND.CLI.adaptation.governance_readiness CLI Adaptation readiness adaptive capacity {score} COUNTRY ND_GAIN governance
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$)
PM2.5 exposure, population-weighted meanIND.ENV.air.pm25_exposure ENV Air quality hazard ug/m3 COUNTRY, ADM1, CITY, GRID WB_WDI EN.ATM.PM25.MC.M3 SDG 11.6.2 EPI PMD
Population exposed above the WHO PM2.5 guideline, shareIND.ENV.air.pm25_guideline_exceedance.share ENV Air quality exposure % COUNTRY, ADM1, CITY WB_WDI EN.ATM.PM25.MC.ZS
Seasonal peak ozone exposureIND.ENV.air.ozone_exposure ENV Air quality hazard [ppb] COUNTRY, ADM1, CITY, GRID
Land areaIND.ENV.land.land_area ENV Land and forests context km2 COUNTRY, ADM1, ADM2, CITY WB_WDI AG.LND.TOTL.K2
Forest area, share of land areaIND.ENV.land.forest_cover.share ENV Land and forests vulnerability % COUNTRY, ADM1 SDG 15.1.1 WB_WDI AG.LND.FRST.ZS
Annual tree cover loss rateIND.ENV.land.tree_cover_loss.share ENV Land and forests hazard % COUNTRY, ADM1, ADM2, GRID EPI TCL
Degraded land, share of land areaIND.ENV.land.land_degradation.share ENV Land and forests hazard % COUNTRY, ADM1, GRID SDG 15.3.1
Road densityIND.ENV.land.road_density ENV Land and forests hazard km/km2 COUNTRY, ADM1, ADM2, CITY, GRID
Red List IndexIND.ENV.biodiversity.red_list_index ENV Biodiversity vulnerability 1 GLOBAL, REGION, COUNTRY SDG 15.5.1
Biodiversity Intactness IndexIND.ENV.biodiversity.biodiversity_intactness ENV Biodiversity vulnerability 1 COUNTRY, ADM1, GRID
Terrestrial protected areas, share of land areaIND.ENV.biodiversity.terrestrial_protected.share ENV Biodiversity response % COUNTRY, ADM1 WB_WDI ER.LND.PTLD.ZS
Key biodiversity areas covered by protected areasIND.ENV.biodiversity.key_biodiversity_area_protected.share ENV Biodiversity response % COUNTRY, REGION SDG 15.1.2
Marine protected areas, share of territorial watersIND.ENV.ocean.marine_protected.share ENV Ocean response % COUNTRY WB_WDI ER.MRN.PTMR.ZS SDG 14.5.1
Coastal eutrophication indexIND.ENV.ocean.coastal_eutrophication ENV Ocean hazard % COUNTRY, REGION SDG 14.1.1
Average marine acidity (pH)IND.ENV.ocean.ocean_acidity ENV Ocean hazard [pH] COUNTRY, REGION, SITE SDG 14.3.1
Fish stocks within biologically sustainable levelsIND.ENV.ocean.sustainable_fish_stocks.share ENV Ocean vulnerability % GLOBAL, REGION, COUNTRY SDG 14.4.1
Marine heatwave days per yearIND.ENV.ocean.marine_heatwave_days ENV Ocean hazard d/a COUNTRY, REGION, GRID UNDRR_HIPS_2025 MH0708
Municipal solid waste generated per capitaIND.ENV.pollution.msw_generation.pc ENV Pollution and waste hazard kg/a/{person} COUNTRY, CITY
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
Mismanaged plastic waste per capitaIND.ENV.pollution.mismanaged_plastic_waste.pc ENV Pollution and waste hazard kg/a/{person} COUNTRY, ADM1
GDP in sectors highly dependent on nature, shareIND.ENV.nature_dependence.nature_dependent_gdp.share ENV Nature dependence exposure % COUNTRY, PORTFOLIO
Crop production value dependent on animal pollination, shareIND.ENV.nature_dependence.pollinator_dependent_crops.share ENV Nature dependence exposure % COUNTRY, ADM1
Water bodies with good ambient water qualityIND.WAT.quality.good_ambient_water_quality.share WAT Water quality vulnerability % COUNTRY, ADM1 SDG 6.3.2
Wastewater flows safely treatedIND.WAT.quality.wastewater_safely_treated.share WAT Water quality coping capacity % COUNTRY, CITY SDG 6.3.1 EPI WWT
Severe geomagnetic storm days per yearIND.SPC.weather.severe_geomagnetic_storm_days SPC Space weather hazard d/a GLOBAL UNDRR_HIPS_2025 ET0101 EMDAT nat-ext-spa-geo
Geoelectric field amplitude at 100-year return periodIND.SPC.weather.geoelectric_field_rp100 SPC Space weather hazard V/km COUNTRY, ADM1, GRID
Strong solar radiation storm days per yearIND.SPC.weather.radiation_storm_days SPC Space weather hazard d/a GLOBAL UNDRR_HIPS_2025 ET0104 EMDAT nat-ext-spa-ene
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
Malaria incidenceIND.HLT.burden.malaria_incidence HLT Disease burden and mortality hazard /10*3 COUNTRY WB_WDI SH.MLR.INCD.P3 SDG 3.3.3 WHO_GHO SDGMALARIA
Agriculture, forestry and fishing value added, share of GDPIND.FOO.agriculture.agri_value_added.gdp FOO Agricultural production and dependence vulnerability % COUNTRY WB_WDI NV.AGR.TOTL.ZS
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
Cereal yield variability (15-year)IND.FOO.agriculture.cereal_yield_variability FOO Agricultural production and dependence vulnerability % COUNTRY
Cropland, share of land areaIND.FOO.agriculture.cropland.share FOO Agricultural production and dependence exposure % COUNTRY, ADM1, ADM2, GRID WB_WDI AG.LND.ARBL.ZS
Vegetation Health Index on croplandIND.FOO.agriculture.vegetation_health_index FOO Agricultural production and dependence hazard {score} COUNTRY, ADM1, ADM2, GRID
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
Renewable share of total final energy consumptionIND.ENE.mix.renewable_share_tfec ENE Energy mix adaptive capacity % COUNTRY SDG 7.2.1 WB_WDI EG.FEC.RNEW.ZS
Primary energy intensity of GDPIND.ENE.mix.energy_intensity ENE Energy mix vulnerability MJ/[USD] COUNTRY SDG 7.3.1 WB_WDI EG.EGY.PRIM.PP.KD
Fossil share of electricity generationIND.ENE.mix.fossil_electricity_share ENE Energy mix vulnerability % COUNTRY WB_WDI EG.ELC.FOSL.ZS
Installed renewable generating capacity per capitaIND.ENE.mix.renewable_capacity.pc ENE Energy mix adaptive capacity W/{person} COUNTRY SDG 7.b.1
Heating and cooling degree daysIND.ENE.reliability.thermal_demand_degree_days ENE Reliability hazard K.d/a COUNTRY, ADM1, CITY, GRID
Critical-mineral import supplier concentrationIND.ENE.minerals.critical_mineral_import_concentration ENE Critical minerals vulnerability 1 COUNTRY
Road and rail network in high-hazard zones, shareIND.INF.transport.network_exposed.share INF Transport exposure % COUNTRY, ADM1, ADM2, CITY, GRID
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
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
Direct economic loss to critical infrastructure, share of GDPIND.INF.disruption.critical_infrastructure_loss.gdp INF Service disruption impact % COUNTRY, ADM1 SENDAI C-5
Gross domestic expenditure on R&D, share of GDPIND.TEC.capability.rd_expenditure.gdp TEC Technology capability adaptive capacity % COUNTRY SDG 9.5.1 WB_WDI GB.XPD.RSDV.GD.ZS
Researchers per million inhabitantsIND.TEC.capability.researchers_per_million TEC Technology capability adaptive capacity /10*6 COUNTRY SDG 9.5.2 WB_WDI SP.POP.SCIE.RD.P6
High-technology exports, share of manufactured exportsIND.TEC.capability.high_tech_exports TEC Technology capability adaptive capacity % COUNTRY WB_WDI TX.VAL.TECH.MF.ZS SDG 9.b.1
Semiconductor import supplier concentrationIND.TEC.concentration.semiconductor_import_concentration TEC Concentration and dependence vulnerability 1 COUNTRY
Cloud infrastructure provider concentrationIND.TEC.concentration.cloud_provider_concentration TEC Concentration and dependence vulnerability 1 COUNTRY
AI compute capacity under foreign or single-provider controlIND.TEC.ai.ai_compute_foreign_control TEC Artificial intelligence vulnerability % COUNTRY
Foundation-model provider concentrationIND.TEC.ai.foundation_model_concentration TEC Artificial intelligence vulnerability % COUNTRY
Biosafety and biosecurity oversight of high-containment laboratoriesIND.TEC.bio.biosecurity_lab_oversight TEC Biotechnology 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
AtmosphereSpaceUmhlabaPlanetary168HAZARDS
4 hazard domains (inner ring) and 23 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
Solar-terrestrial storms Space and near-Earth Geomagnetic storm, Solar flare radio blackout, Solar radiation storm, Ionospheric disturbance, Geomagnetically induced current, Satellite space-environment anomaly, Thermospheric drag surge, Radiation-belt electron enhancement … 9
Impacts and orbital hazards Space and near-Earth Near-Earth object approach, Meteorite impact, Airburst, Space debris, Orbital collision cascade, Uncontrolled re-entry, Spaceflight accident, Meteoroid stream encounter 8
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
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
Planetary boundary transgressions Imida yeplanethi nenguqu kwiinkqubo zoMhlaba Climate-forcing boundary transgression, Global temperature overshoot, Global warming acceleration, Atmospheric methane surge, Extinction-rate boundary transgression, Biosphere functional integrity loss, Land-system change boundary transgression, Blue-water flow disturbance … 14
Ice tipping elements Imida yeplanethi nenguqu kwiinkqubo zoMhlaba Greenland ice sheet tipping, West Antarctic ice sheet collapse, East Antarctic subglacial basin retreat, Arctic winter sea-ice collapse, Antarctic sea-ice regime shift, Regional glacier extinction 6
Ocean circulation and marine tipping Imida yeplanethi nenguqu kwiinkqubo zoMhlaba Atlantic overturning weakening, Atlantic overturning collapse, Subpolar gyre convection collapse, Antarctic overturning slowdown, Arctic Ocean atlantification, Warm-water coral reef die-off, Marine methane hydrate destabilisation 7
Biome tipping elements Imida yeplanethi nenguqu kwiinkqubo zoMhlaba Amazon rainforest dieback, Boreal forest southern dieback, Boreal forest northern advance, Tropical forest carbon-sink reversal, Sahel vegetation regime shift 5
Carbon-cycle feedbacks Imida yeplanethi nenguqu kwiinkqubo zoMhlaba Permafrost carbon release, Abrupt permafrost thaw emission, Subsea permafrost greenhouse gas release, Wetland methane feedback, Land carbon sink weakening, Ocean carbon sink weakening, Soil carbon respiration feedback 7
Atmospheric circulation and monsoon tipping Imida yeplanethi nenguqu kwiinkqubo zoMhlaba South Asian monsoon regime shift, West African monsoon regime shift, South American monsoon weakening, East Asian monsoon regime shift, Tropical belt widening, Tropical Pacific regime change, Jet-stream regime change, Marine stratocumulus deck breakup … 9
Deep-time and cosmic catastrophes Imida yeplanethi nenguqu kwiinkqubo zoMhlaba Supereruption, Large-magnitude explosive eruption, Flood-basalt eruption episode, Impact winter, Comet shower, Solar superflare, Gamma-ray burst, Nearby supernova … 10
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 …

24 methods

Risk data

Source Discovery · Source Fitness · Rights Resolver · Freshness Resolver · Provenance Resolver · Data Quality · Missingness Semantics …

18 methods

Exposure and asset intelligence

Asset Exposure Aggregation · Physical Asset Inventory · Building Inventory · Population Exposure · Economic Exposure · Replacement Cost · Business Interruption Exposure …

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.

Insurers, reinsurers and risk pools

Read hazard, exposure and protection-gap context. Run scenario and tail analytics. Study parametric index design questions.

Universities and research

Replicate every value. Study methods. Contribute data and review.

08Iingxelo

Nexus Reports

Edition code
GS-12
Edition status
planned
Subject
Named by Nexus Reports

Nexus Reports

09Cite

Cite and reuse

GCRI Canada (2026). The Global Risks Index (NXS-GRX): Global Earth observation series (GRX-SER-GS-12), Baseline Edition 2026. Preparatory working draft. https://risksindex.com/series/gs-12/ UNI NXS-GRX-AR-000070.
Series key
grix:SER.GS-12:{ISO3}:{YEAR}:A
Domain keys
nis:IDX.CLI.physical_chronic.climate_physical_risk:{ISO3}:{YEAR}:A nis:IDX.CLI.transition.transition_risk:{ISO3}:{YEAR}:A nis:IDX.HAZ.multi.hazard_exposure:{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.