Risques catastrophiques mondiaux et risques extrêmes
Risques de faible probabilité et à fort impact et risques catastrophiques mondiaux : météorologie spatiale extrême, super-éruptions, pandémies d’origine humaine et naturelle, défaillances nucléaires et des technologies de pointe, effondrements composés.
1
Exposition à la météorologie de l'espace
156
5 index domains
56
Space and near-Earth · Solid Earth · Health and biosecurity.
100
Catastrophe risk · Networks, dependency and systemic risk.
Scope and questions
The subject of this index is proposed by NXS-GRX (canonical data, provenance and risk); the Nexus Reports edition with the same code sets its own subject at commissioning, and any difference is recorded as a crosswalk.
- Which tail risks deserve standing monitoring?
- How do tail events couple into systemic collapse?
- Which countries carry the largest share of tail exposure?
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.
How the Global catastrophic and tail risk index is built
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Exposition à la météorologie de l'espaceDomain index · IDX · SPC0–10 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.
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Global catastrophic and tail risk indexSeries index · SERIES · SR-14Risques de faible probabilité et à fort impact et risques catastrophiques mondiaux : météorologie spatiale extrême, super-éruptions, pandémies d’origine humaine et naturelle, défaillances nucléaires et des technologies de pointe, effondrements composés.
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Country readingsOutput · OUTPUT · 195 profilesPublished with intervals and classes when the edition is released.
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Regional readingsOutput · OUTPUT · 5 regionsPublished with intervals and classes when the edition is released.
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Global readingOutput · OUTPUT · population or exposure weightedPublished with intervals and classes when the edition is released.
Domain indices in this series
| Indice | Valeur | Variation | Variation % | Intervalle à 90 % | Classe · probabilité | Tendance | Plage |
|---|---|---|---|---|---|---|---|
Exposition à la météorologie de l'espaceNXS-GRX · SPC |
– | – | – | – | – |
Domains read: Space environment, Hazard and exposure, Health, Technology and frontier, Conflict and security.
156 indicators in scope
Every indicator whose primary or secondary domain is in scope, with unit, levels and crosswalks to source code lists.
| Indicateur | Domaine | Sub-domain | Composant | Unité | Niveaux | Crosswalks |
|---|---|---|---|---|---|---|
Coût budgétaire annuel attendu des catastrophes, part du PIBIND.FIS.contingent.disaster_fiscal_cost.gdp |
FIS | Contingent liabilities | vulnerability | % |
COUNTRY | |
Déficit de protection contre les catastrophes naturellesIND.FIN.nbfi.nat_cat_protection_gap |
FIN | Non-bank financial intermediation | vulnerability | % |
REGION, COUNTRY | |
Prêts bancaires exposés à un risque physique climatique élevéIND.FIN.climate_finance.physical_risk_lending |
FIN | Climate-related financial exposure | exposure | % |
COUNTRY | |
Dépendance nette aux importations de minerais critiquesIND.ECO.concentration.critical_minerals_import_reliance |
ECO | Export and import concentration | vulnerability | % |
COUNTRY | |
Commerce maritime exposé aux points d'étranglement maritimesIND.ECO.supply_chain.chokepoint_exposure |
ECO | Supply-chain exposure | exposure | % |
COUNTRY | |
Évolution des jours très chauds (35 °C ou plus)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) |
Élévation relative projetée du niveau de la merIND.CLI.projection.projected_sea_level_rise |
CLI | Scenario projections | hazard | m |
COUNTRY, ADM1, CITY, SITE | |
Population sous le futur niveau de crue côtière de période de retour 100 ans, partIND.CLI.projection.slr_coastal_population_exposed.share |
CLI | Scenario projections | exposure | % |
COUNTRY, ADM1, CITY | WB_WDI EN.POP.EL5M.ZS |
Population exposée à deux aléas majeurs ou plus, partIND.HAZ.multi.multi_hazard_exposure.share |
HAZ | Multi-hazard | exposure | % |
COUNTRY, ADM1, ADM2, CITY, GRID | INFORM HA.NAT |
Perte annuelle moyenne multi-aléas, part du PIBIND.HAZ.multi.aal.gdp |
HAZ | Multi-hazard | impact | % |
COUNTRY, ADM1, CITY, PORTFOLIO | |
Perte annuelle moyenne multi-aléas, part du stock de capital produitIND.HAZ.multi.aal.capital_stock |
HAZ | Multi-hazard | impact | % |
COUNTRY, ADM1, CITY, PORTFOLIO | |
Sinistre maximal probable pour une période de retour de 250 ans, part du PIBIND.HAZ.multi.pml_rp250.gdp |
HAZ | Multi-hazard | impact | % |
COUNTRY, ADM1, PORTFOLIO | |
Accélération maximale du sol pour une période de retour de 475 ansIND.HAZ.seismic.pga_rp475 |
HAZ | Seismic and volcanic | hazard | [g] |
COUNTRY, ADM1, CITY, GRID, SITE | UNDRR_HIPS_2025 GH0101 INFORM HA.NAT.EQ |
Personnes exposées à de fortes secousses sismiques, moyenne annuelleIND.HAZ.seismic.eq_population_exposed |
HAZ | Seismic and volcanic | exposure | {persons} |
COUNTRY, ADM1, CITY, GRID | INFORM EX_EQ_MMI8 |
Personnes exposées à de fortes secousses sismiques, part de la populationIND.HAZ.seismic.eq_population_exposed.share |
HAZ | Seismic and volcanic | exposure | % |
COUNTRY, ADM1, CITY | |
Perte annuelle moyenne due aux séismes, part du PIBIND.HAZ.seismic.eq_aal.gdp |
HAZ | Seismic and volcanic | impact | % |
COUNTRY, ADM1, CITY, PORTFOLIO | |
Population à moins de 30 km d'un volcan holocèneIND.HAZ.seismic.volcano_population_30km |
HAZ | Seismic and volcanic | exposure | {persons} |
COUNTRY, ADM1, CITY | UNDRR_HIPS_2025 GH0203 |
Probabilité de retombées de cendres volcaniques dommageables en 100 ansIND.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 |
Niveau marin extrême en eau calme pour une période de retour de 100 ansIND.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 en zone inondable côtière de période de retour 100 ans, partIND.HAZ.coastal.coastal_flood_population_exposed.share |
HAZ | Coastal and sea level | exposure | % |
COUNTRY, ADM1, CITY | INFORM EX_CFL UNDRR_HIPS_2025 MH0601 |
Population à moins de 5 m d'altitude, partIND.HAZ.coastal.low_elevation_population.share |
HAZ | Coastal and sea level | exposure | % |
COUNTRY, ADM1, CITY | WB_WDI EN.POP.EL5M.ZS |
Hauteur maximale d'inondation par tsunami pour une période de retour de 500 ansIND.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 exposée aux tsunamis, partIND.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 |
Personnes exposées aux crues fluviales, moyenne annuelleIND.HAZ.flood.flood_population_exposed |
HAZ | Flood | exposure | {persons} |
COUNTRY, ADM1, ADM2, CITY | INFORM EX_FL INFORM HA.NAT.FL |
Personnes exposées aux crues fluviales, part de la populationIND.HAZ.flood.flood_population_exposed.share |
HAZ | Flood | exposure | % |
COUNTRY, ADM1, ADM2, CITY | |
Norme de conception de la protection contre les inondationsIND.HAZ.flood.flood_protection_standard |
HAZ | Flood | coping capacity | a |
COUNTRY, ADM1, CITY, SITE | |
Perte annuelle moyenne due aux crues fluviales, part du PIBIND.HAZ.flood.flood_aal.gdp |
HAZ | Flood | impact | % |
COUNTRY, ADM1, CITY, PORTFOLIO | |
Vitesse du vent des cyclones tropicaux pour une période de retour de 100 ansIND.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 |
Probabilité annuelle de vents cycloniques de catégorie 1 ou plusIND.HAZ.storm.tc_cat1_probability |
HAZ | Tropical and severe storms | hazard | 1 |
COUNTRY, ADM1, CITY, GRID, SITE | |
Personnes exposées à des vents cycloniques de catégorie 1, moyenne annuelleIND.HAZ.storm.tc_population_exposed |
HAZ | Tropical and severe storms | exposure | {persons} |
COUNTRY, ADM1, CITY | INFORM EX_TC_SS1 |
Personnes exposées à des vents cycloniques de catégorie 1, part de la populationIND.HAZ.storm.tc_population_exposed.share |
HAZ | Tropical and severe storms | exposure | % |
COUNTRY, ADM1, CITY | |
Perte annuelle moyenne due aux cyclones tropicaux, part du PIBIND.HAZ.storm.tc_aal.gdp |
HAZ | Tropical and severe storms | impact | % |
COUNTRY, ADM1, PORTFOLIO | |
Jours de grosse grêle par anIND.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 |
Jours aux conditions propices aux orages violentsIND.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 |
Fréquence des sécheresses météorologiques sévèresIND.HAZ.drought.spei_drought_frequency |
HAZ | Sécheresse | hazard | % |
COUNTRY, ADM1, GRID | UNDRR_HIPS_2025 MH0401 INFORM HA.NAT.DR |
Fréquence du stress de sécheresse agricoleIND.HAZ.drought.agricultural_stress_frequency |
HAZ | Sécheresse | hazard | % |
COUNTRY, ADM1, GRID | INFORM ASI |
Personnes touchées par la sécheresse, part annuelle moyenneIND.HAZ.drought.drought_affected.share |
HAZ | Sécheresse | impact | % |
COUNTRY | INFORM AFF_DR EMDAT nat-cli-dro-dro |
Jours de chaleur humide dangereuse par anIND.HAZ.heat.dangerous_heat_days |
HAZ | Extreme heat | hazard | d/a |
COUNTRY, ADM1, CITY, GRID | UNDRR_HIPS_2025 MH0501 |
Épisodes d'exposition aux vagues de chaleur par personneIND.HAZ.heat.heatwave_person_days |
HAZ | Extreme heat | exposure | d/a |
COUNTRY, ADM1, CITY | |
Population exposée à la chaleur extrême, partIND.HAZ.heat.heat_population_exposed.share |
HAZ | Extreme heat | exposure | % |
COUNTRY, ADM1, CITY | |
Jours de conditions météorologiques extrêmes propices aux incendies par anIND.HAZ.wildfire.extreme_fire_weather_days |
HAZ | Feux de forêt | hazard | d/a |
COUNTRY, ADM1, GRID | |
Surface brûlée annuelle, part de la superficie terrestreIND.HAZ.wildfire.burned_area.share |
HAZ | Feux de forêt | hazard | % |
COUNTRY, ADM1, GRID | UNDRR_HIPS_2025 EN0205 EMDAT nat-cli-wil-wil |
Population à l'interface forêt-habitat, partIND.HAZ.wildfire.wui_population.share |
HAZ | Feux de forêt | exposure | % |
COUNTRY, ADM1, CITY | |
Population en zones de forte susceptibilité aux glissements de terrain, partIND.HAZ.landslide.landslide_susceptible_population.share |
HAZ | Landslide | exposure | % |
COUNTRY, ADM1, ADM2, CITY, GRID | UNDRR_HIPS_2025 GH0300 |
Décès dus aux glissements de terrain pour 100,000, moyenne annuelleIND.HAZ.landslide.fatal_landslide_rate |
HAZ | Landslide | impact | /10*5 |
COUNTRY, ADM1 | EMDAT nat-hyd-mmw-lan |
Population à proximité de sites industriels à aléas majeurs, partIND.HAZ.technological.major_hazard_site_population.share |
HAZ | Technologique | exposure | % |
COUNTRY, ADM1, CITY | UNDRR_HIPS_2025 TL0304 UNDRR_HIPS_2025 TL0309 |
Population à moins de 30 km d'un réacteur nucléaire en serviceIND.HAZ.technological.nuclear_population_30km |
HAZ | Technologique | exposure | {persons} |
COUNTRY, ADM1, CITY | UNDRR_HIPS_2025 TL0208 |
Décès dus aux accidents industriels pour 100,000, moyenne annuelleIND.HAZ.technological.industrial_accident_deaths |
HAZ | Technologique | impact | /10*5 |
COUNTRY | EMDAT tec-ind-ind-ind |
Surface bâtieIND.HAZ.exposure.built_up_area |
HAZ | Exposition | context | km2 |
COUNTRY, ADM1, ADM2, CITY, GRID | |
Stock de capital produitIND.HAZ.exposure.capital_stock |
HAZ | Exposition | context | [USD] |
COUNTRY, ADM1, PORTFOLIO | |
Surface bâtie en zones d'aléa élevéIND.HAZ.exposure.built_up_exposed |
HAZ | Exposition | exposure | km2 |
COUNTRY, ADM1, ADM2, CITY, GRID | |
Surface bâtie en zones d'aléa élevé, partIND.HAZ.exposure.built_up_exposed.share |
HAZ | Exposition | exposure | % |
COUNTRY, ADM1, ADM2, CITY | |
PIB généré en zones d'aléa élevé, partIND.HAZ.exposure.gdp_exposed.share |
HAZ | Exposition | exposure | % |
COUNTRY, ADM1, CITY | |
Décès et personnes disparues dus aux catastrophes pour 100,000IND.HAZ.loss.deaths_missing_rate |
HAZ | Losses and impacts | impact | /10*5 |
COUNTRY, ADM1 | SENDAI A-1 SDG 1.5.1 |
Personnes directement touchées par des catastrophes pour 100,000IND.HAZ.loss.directly_affected_rate |
HAZ | Losses and impacts | impact | /10*5 |
COUNTRY, ADM1 | SENDAI B-1 SDG 1.5.1 |
Pertes économiques directes dues aux catastrophes, part du PIBIND.HAZ.loss.direct_economic_loss.gdp |
HAZ | Losses and impacts | impact | % |
COUNTRY, ADM1 | SENDAI C-1 SDG 1.5.2 |
Décès enregistrés dus aux catastrophes pour 100,000, moyenne sur 30 ansIND.HAZ.loss.recorded_disaster_deaths |
HAZ | Losses and impacts | impact | /10*5 |
COUNTRY, ADM1 | EMDAT Total Deaths |
Personnes touchées par des catastrophes enregistrées pour 100,000, moyenne sur 30 ansIND.HAZ.loss.recorded_disaster_affected |
HAZ | Losses and impacts | impact | /10*5 |
COUNTRY, ADM1 | EMDAT Total Affected |
Dommages enregistrés dus aux catastrophes, part du PIB, moyenne sur 30 ansIND.HAZ.loss.recorded_disaster_damage.gdp |
HAZ | Losses and impacts | impact | % |
COUNTRY | EMDAT Total Damage, Adjusted ('000 US$) |
Exposition aux PM2.5, moyenne pondérée par la populationIND.ENV.air.pm25_exposure |
ENV | Qualité de l'air | hazard | ug/m3 |
COUNTRY, ADM1, CITY, GRID | WB_WDI EN.ATM.PM25.MC.M3 SDG 11.6.2 EPI PMD |
Population exposée au-delà de la valeur guide de l'OMS pour les PM2.5, partIND.ENV.air.pm25_guideline_exceedance.share |
ENV | Qualité de l'air | exposure | % |
COUNTRY, ADM1, CITY | WB_WDI EN.ATM.PM25.MC.ZS |
Exposition saisonnière aux pics d'ozoneIND.ENV.air.ozone_exposure |
ENV | Qualité de l'air | hazard | [ppb] |
COUNTRY, ADM1, CITY, GRID | |
Population utilisant des services d'eau potable gérés en toute sécuritéIND.WAT.access.safely_managed_drinking_water.share |
WAT | Drinking water and sanitation | vulnerability | % |
COUNTRY, ADM1, CITY | SDG 6.1.1 WB_WDI SH.H2O.SMDW.ZS EPI UWD |
Population utilisant au moins des services d'eau potable de baseIND.WAT.access.basic_drinking_water.share |
WAT | Drinking water and sanitation | vulnerability | % |
COUNTRY, ADM1 | WB_WDI SH.H2O.BASW.ZS |
Population utilisant des services d'assainissement gérés en toute sécuritéIND.WAT.access.safely_managed_sanitation.share |
WAT | Drinking water and sanitation | vulnerability | % |
COUNTRY, ADM1, CITY | WB_WDI SH.STA.SMSS.ZS SDG 6.2.1 EPI USD |
Population disposant d'installations de base pour le lavage des mainsIND.WAT.access.basic_handwashing.share |
WAT | Drinking water and sanitation | vulnerability | % |
COUNTRY, ADM1 | WB_WDI SH.STA.HYGN.ZS SDG 6.2.1 |
Taux de dépendance aux ressources en eau renouvelables extérieuresIND.WAT.dependence.external_water_dependency |
WAT | Transboundary dependence | exposure | % |
COUNTRY | |
Severe geomagnetic storm days per yearIND.SPC.weather.severe_geomagnetic_storm_days |
SPC | Météorologie spatiale | hazard | d/a |
GLOBAL | UNDRR_HIPS_2025 ET0101 EMDAT nat-ext-spa-geo |
Amplitude du champ géoélectrique pour une période de retour de 100 ansIND.SPC.weather.geoelectric_field_rp100 |
SPC | Météorologie spatiale | hazard | V/km |
COUNTRY, ADM1, GRID | |
Strong solar radiation storm days per yearIND.SPC.weather.radiation_storm_days |
SPC | Météorologie spatiale | hazard | d/a |
GLOBAL | UNDRR_HIPS_2025 ET0104 EMDAT nat-ext-spa-ene |
PIB des activités dépendantes du GNSS, partIND.SPC.dependence.gnss_dependent_gdp.share |
SPC | Space-service dependence | exposure | % |
COUNTRY, PORTFOLIO | UNDRR_HIPS_2025 ET0102 |
Services critiques reposant sur des satellites sans secours, partIND.SPC.dependence.satellite_service_exposure.share |
SPC | Space-service dependence | vulnerability | % |
COUNTRY | |
Réseau haute tension en zones d'aléa géoélectrique élevé, partIND.SPC.dependence.grid_gic_exposure.share |
SPC | Space-service dependence | exposure | % |
COUNTRY, ADM1 | |
Taux de mortalité des moins de cinq ansIND.HLT.burden.under5_mortality |
HLT | Disease burden and mortality | vulnerability | /10*3 |
COUNTRY | WB_WDI SH.DYN.MORT SDG 3.2.1 WHO_GHO MDG_0000000007 |
Taux de mortalité néonataleIND.HLT.burden.neonatal_mortality |
HLT | Disease burden and mortality | vulnerability | /10*3 |
COUNTRY | WB_WDI SH.DYN.NMRT SDG 3.2.2 |
Taux de mortalité maternelleIND.HLT.burden.maternal_mortality |
HLT | Disease burden and mortality | vulnerability | /10*5 |
COUNTRY | WB_WDI SH.STA.MMRT SDG 3.1.1 WHO_GHO MDG_0000000026 |
Espérance de vie à la naissanceIND.HLT.burden.life_expectancy |
HLT | Disease burden and mortality | vulnerability | a |
COUNTRY | WB_WDI SP.DYN.LE00.IN WHO_GHO WHOSIS_000001 |
Mortalité prématurée due aux principales maladies non transmissiblesIND.HLT.burden.ncd_premature_mortality |
HLT | Disease burden and mortality | vulnerability | % |
COUNTRY | WB_WDI SH.DYN.NCOM.ZS SDG 3.4.1 WHO_GHO NCDMORT3070 |
Incidence de la tuberculoseIND.HLT.burden.tb_incidence |
HLT | Disease burden and mortality | hazard | /10*5 |
COUNTRY | WB_WDI SH.TBS.INCD SDG 3.3.2 WHO_GHO MDG_0000000020 |
Incidence du paludismeIND.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 |
Incidence du VIHIND.HLT.burden.hiv_incidence |
HLT | Disease burden and mortality | hazard | /10*3 |
COUNTRY | WB_WDI SH.HIV.INCD.TL.P3 SDG 3.3.1 WHO_GHO SDGHIV WB_WDI SH.HIV.INCD.ZS |
Médecins pour 1,000 habitantsIND.HLT.system.physician_density |
HLT | Health system capacity | coping capacity | /10*3 |
COUNTRY | WB_WDI SH.MED.PHYS.ZS WHO_GHO HWF_0001 SDG 3.c.1 |
Infirmiers et sages-femmes pour 1,000 habitantsIND.HLT.system.nurse_midwife_density |
HLT | Health system capacity | coping capacity | /10*3 |
COUNTRY | WB_WDI SH.MED.NUMW.P3 WHO_GHO HWF_0006 SDG 3.c.1 |
Lits d'hôpital pour 1,000 habitantsIND.HLT.system.hospital_beds |
HLT | Health system capacity | coping capacity | /10*3 |
COUNTRY | WB_WDI SH.MED.BEDS.ZS WHO_GHO WHS6_102 |
Indice de couverture des services de la CSUIND.HLT.system.uhc_service_coverage |
HLT | Health system capacity | coping capacity | {score} |
COUNTRY | SDG 3.8.1 WHO_GHO UHC_INDEX_REPORTED WB_WDI SH.UHC.SRVS.CV.XD |
Population confrontée à des dépenses de santé directes catastrophiquesIND.HLT.system.catastrophic_oop |
HLT | Health system capacity | vulnerability | % |
COUNTRY | SDG 3.8.2 WB_WDI SH.UHC.OOPC.10.ZS |
Dépenses directes, part des dépenses courantes de santéIND.HLT.system.oop_share |
HLT | Health system capacity | vulnerability | % |
COUNTRY | WB_WDI SH.XPD.OOPC.CH.ZS WHO_GHO GHED_OOPSCHE_SHA2011 |
Dépenses courantes de santé, part du PIBIND.HLT.system.health_expenditure.gdp |
HLT | Health system capacity | coping capacity | % |
COUNTRY | WB_WDI SH.XPD.CHEX.GD.ZS |
Couverture vaccinale DTC3IND.HLT.system.dtp3_coverage |
HLT | Health system capacity | coping capacity | % |
COUNTRY | WHO_GHO WHS4_100 WB_WDI SH.IMM.IDPT SDG 3.b.1 |
Couverture vaccinale de la deuxième dose contre la rougeoleIND.HLT.system.mcv2_coverage |
HLT | Health system capacity | coping capacity | % |
COUNTRY | WHO_GHO MCV2 WB_WDI SH.IMM.MEA2 SDG 3.b.1 |
Naissances assistées par du personnel de santé qualifiéIND.HLT.system.skilled_birth_attendance |
HLT | Health system capacity | coping capacity | % |
COUNTRY | WB_WDI SH.STA.BRTC.ZS SDG 3.1.2 |
Temps de trajet jusqu'à l'établissement de santé le plus procheIND.HLT.system.health_facility_travel_time |
HLT | Health system capacity | vulnerability | min |
COUNTRY, ADM1, ADM2, CITY, GRID | |
Score des capacités fondamentales du RSI (SPAR)IND.HLT.security.spar_capacity |
HLT | Health security (IHR) | coping capacity | {score} |
COUNTRY | SDG 3.d.1 WHO_GHO SDGIHR2021 WHO_GHO SDGIHR2018 |
Capacité de laboratoire du RSI (SPAR C4)IND.HLT.security.spar_laboratory |
HLT | Health security (IHR) | coping capacity | {score} |
COUNTRY | SPAR C4 WHO_GHO IHRSPAR2_C04 JEE D1 |
Capacité de surveillance du RSI (SPAR C5)IND.HLT.security.spar_surveillance |
HLT | Health security (IHR) | coping capacity | {score} |
COUNTRY | SPAR C5 WHO_GHO IHRSPAR2_C05 JEE D2 |
Capacité de gestion des urgences sanitaires du RSI (SPAR C7)IND.HLT.security.spar_emergency_management |
HLT | Health security (IHR) | coping capacity | {score} |
COUNTRY | SPAR C7 WHO_GHO IHRSPAR2_C07 JEE R1 |
Capacité de communication sur les risques du RSI (SPAR C10)IND.HLT.security.spar_risk_communication |
HLT | Health security (IHR) | coping capacity | {score} |
COUNTRY | SPAR C10 WHO_GHO IHRSPAR2_C10 JEE R5 |
Fréquence des événements épidémiquesIND.HLT.epidemic.outbreak_event_frequency |
HLT | Epidemic and outbreak | hazard | 1 |
COUNTRY, ADM1 | |
Cas de choléra signalés, pour 100,000 habitantsIND.HLT.epidemic.cholera_cases.p100k |
HLT | Epidemic and outbreak | hazard | /10*5 |
COUNTRY | WHO_GHO CHOLERA_0000000001 |
Infections du sang dues au SARMIND.HLT.amr.mrsa_bloodstream |
HLT | Antimicrobial resistance | hazard | % |
COUNTRY | WHO_GHO AMR_INFECT_MRSA SDG 3.d.2 |
Infections du sang dues à E. coli résistant aux céphalosporines de troisième générationIND.HLT.amr.ecoli_3gc_bloodstream |
HLT | Antimicrobial resistance | hazard | % |
COUNTRY | WHO_GHO AMR_INFECT_ECOLI SDG 3.d.2 |
Retard de croissance chez les enfants de moins de cinq ansIND.HLT.nutrition.stunting |
HLT | Nutrition | vulnerability | % |
COUNTRY | WB_WDI SH.STA.STNT.ME.ZS SDG 2.2.1 WHO_GHO NUTSTUNTINGPREV FAO_FAOSTAT 21025 |
Émaciation chez les enfants de moins de cinq ansIND.HLT.nutrition.wasting |
HLT | Nutrition | vulnerability | % |
COUNTRY, ADM1 | WB_WDI SH.STA.WAST.ZS SDG 2.2.2 WHO_GHO NUTRITION_WH_2 FAO_FAOSTAT 21026 |
Anémie chez les femmes en âge de procréerIND.HLT.nutrition.anaemia_women |
HLT | Nutrition | vulnerability | % |
COUNTRY | WB_WDI SH.ANM.ALLW.ZS WHO_GHO NUTRITION_ANAEMIA_REPRODUCTIVEAGE_PREV SDG 2.2.3 FAO_FAOSTAT 21043 |
Jeunes sans emploi, ni éducation, ni formationIND.SOC.protection.youth_neet |
SOC | Social protection | vulnerability | % |
COUNTRY | WB_WDI SL.UEM.NEET.ZS SDG 8.6.1 ILO SDG_0861_SEX_RT |
Population âgée de 65 ans et plus, part du totalIND.DEM.structure.share_65plus |
DEM | Age structure | vulnerability | % |
COUNTRY | WB_WDI SP.POP.65UP.TO.ZS |
Réfugiés par pays d'origineIND.DEM.displacement.refugees_origin |
DEM | Forced displacement | impact | {persons} |
COUNTRY | UNHCR REF WB_WDI SM.POP.REFG.OR |
Réfugiés par pays d'origine, pour 100,000 habitantsIND.DEM.displacement.refugees_origin.p100k |
DEM | Forced displacement | impact | /10*5 |
COUNTRY | SDG 10.7.4 |
Personnes déplacées internes, conflits et violence (stock)IND.DEM.displacement.idp_conflict |
DEM | Forced displacement | impact | {persons} |
COUNTRY, ADM1 | IDMC conflict_total_displacement WB_WDI VC.IDP.TOCV UNHCR IDP |
Personnes déplacées internes, catastrophes (stock)IND.DEM.displacement.idp_disaster |
DEM | Forced displacement | impact | {persons} |
COUNTRY, ADM1 | IDMC disaster_total_displacement |
Personnes déplacées internes, pour 100,000 habitantsIND.DEM.displacement.idp_total.p100k |
DEM | Forced displacement | impact | /10*5 |
COUNTRY | |
Nouveaux déplacements internes, conflits et violenceIND.DEM.displacement.new_displacement_conflict |
DEM | Forced displacement | impact | 1 |
COUNTRY, ADM1 | IDMC conflict_new_displacement WB_WDI VC.IDP.NWCV |
Nouveaux déplacements internes, catastrophesIND.DEM.displacement.new_displacement_disaster |
DEM | Forced displacement | impact | 1 |
COUNTRY, ADM1 | IDMC disaster_new_displacement WB_WDI VC.IDP.NWDS |
Nouveaux déplacements internes, pour 100,000 habitantsIND.DEM.displacement.new_displacement.p100k |
DEM | Forced displacement | impact | /10*5 |
COUNTRY | |
Décès signalés dus à la violence politique organiséeIND.CON.violence.conflict_fatalities |
CON | Organised violence | hazard | 1 |
COUNTRY, ADM1, ADM2, GRID | ACLED fatalities |
Décès liés aux conflits pour 100,000 habitantsIND.CON.violence.conflict_fatalities.p100k |
CON | Organised violence | hazard | /10*5 |
COUNTRY, ADM1, ADM2 | SDG 16.1.2 |
Décès liés aux combats (UCDP)IND.CON.violence.battle_related_deaths |
CON | Organised violence | hazard | {persons} |
COUNTRY | WB_WDI VC.BTL.DETH |
Événements de violence politiqueIND.CON.violence.political_violence_events |
CON | Organised violence | hazard | 1 |
COUNTRY, ADM1, ADM2, GRID | ACLED Political violence |
Événements de conflit arméIND.CON.violence.armed_conflict_events |
CON | Organised violence | hazard | 1 |
COUNTRY, ADM1, ADM2, GRID | ACLED Battles ACLED Explosions/Remote violence |
Diffusion géographique des conflitsIND.CON.violence.conflict_diffusion |
CON | Organised violence | exposure | % |
COUNTRY | ACLED Diffusion |
Fragmentation des acteurs armésIND.CON.violence.armed_group_fragmentation |
CON | Organised violence | hazard | 1 |
COUNTRY | ACLED Fragmentation |
Taux d'homicides volontairesIND.CON.violence.homicide_rate |
CON | Organised violence | hazard | /10*5 |
COUNTRY, ADM1, CITY | WB_WDI VC.IHR.PSRC.P5 SDG 16.1.1 |
Dépenses militaires, part du PIBIND.CON.violence.military_expenditure.gdp |
CON | Organised violence | vulnerability | % |
COUNTRY | WB_WDI MS.MIL.XPND.GD.ZS |
Effectifs des forces armées, part de la population activeIND.CON.violence.armed_forces_share |
CON | Organised violence | vulnerability | % |
COUNTRY | WB_WDI MS.MIL.TOTL.TF.ZS |
Événements visant des civilsIND.CON.civilian.civilian_targeting_events |
CON | Civilian harm | hazard | 1 |
COUNTRY, ADM1, ADM2, GRID | ACLED civilian_targeting ACLED Violence against civilians |
Décès de civils dus à la violence ciblée, pour 100,000 habitantsIND.CON.civilian.civilian_fatalities.p100k |
CON | Civilian harm | impact | /10*5 |
COUNTRY, ADM1 | ACLED Danger |
Attaques contre les soins de santéIND.CON.civilian.attacks_on_health_care |
CON | Civilian harm | impact | 1 |
COUNTRY | |
Victimes des mines terrestres et des restes explosifs de guerreIND.CON.civilian.explosive_ordnance_casualties |
CON | Civilian harm | impact | {persons} |
COUNTRY | |
Émeutes et manifestations violentesIND.CON.peace.riot_events |
CON | Peacefulness | hazard | 1 |
COUNTRY, ADM1, CITY | ACLED Riots |
Score global du Global Peace Index (IEP)IND.CON.peace.gpi_score |
CON | Peacefulness | vulnerability | {score} |
COUNTRY | GPI Overall Score |
Score du domaine conflits en cours du Global Peace Index (IEP)IND.CON.peace.gpi_ongoing_conflict |
CON | Peacefulness | hazard | {score} |
COUNTRY | GPI Ongoing Domestic and International Conflict |
Classification des États de fragilité de l'OCDEIND.CON.fragility.oecd_fragility_class |
CON | Fragility | vulnerability | {class} |
COUNTRY | OECD_FRAGILITY Fragile contexts |
Statut de situation de fragilité et de conflit de la Banque mondialeIND.CON.fragility.wb_fcs_status |
CON | Fragility | vulnerability | {bool} |
COUNTRY | |
Stabilité politique et absence de violence (WGI)IND.GOV.quality.political_stability |
GOV | Governance quality | coping capacity | {score} |
COUNTRY | WB_WGI GOV_WGI_PV.SC WB_WGI GOV_WGI_PV.EST |
Population utilisant principalement des combustibles et technologies de cuisson propresIND.ENE.access.clean_cooking |
ENE | Accès | vulnerability | % |
COUNTRY, ADM1 | SDG 7.1.2 WB_WDI EG.CFT.ACCS.ZS |
Concentration des fournisseurs de minerais critiques importésIND.ENE.minerals.critical_mineral_import_concentration |
ENE | Critical minerals | vulnerability | 1 |
COUNTRY | |
Réseau routier et ferroviaire en zones d'aléa élevé, partIND.INF.transport.network_exposed.share |
INF | Transport | exposure | % |
COUNTRY, ADM1, ADM2, CITY, GRID | |
Installations critiques disposant d'une alimentation de secours de 72 heuresIND.INF.utilities.critical_facility_backup_power |
INF | Utilities | coping capacity | % |
COUNTRY, ADM1, CITY | ISO_37123 ISO 37123:2019 |
Actifs d'approvisionnement en eau en zones d'aléa élevé, partIND.INF.utilities.water_assets_exposed.share |
INF | Utilities | exposure | % |
COUNTRY, ADM1, ADM2, CITY, GRID | |
Actifs de production et de réseau électriques en zones d'aléa élevé, partIND.INF.utilities.power_assets_exposed.share |
INF | Utilities | exposure | % |
COUNTRY, ADM1, ADM2, CITY, GRID | |
Installations vitales en zones d'aléa élevé, partIND.INF.utilities.lifeline_facilities_exposed.share |
INF | Utilities | exposure | % |
COUNTRY, ADM1, ADM2, CITY, GRID | |
Unités d'infrastructures critiques endommagées ou détruites par des catastrophesIND.INF.disruption.critical_infrastructure_damage |
INF | Service disruption | impact | 1 |
COUNTRY, ADM1 | SENDAI D-1 SDG 11.5.2 |
Établissements de santé endommagés ou détruits par des catastrophesIND.INF.disruption.health_facilities_damaged |
INF | Service disruption | impact | 1 |
COUNTRY, ADM1 | SENDAI D-2 |
Pertes économiques directes subies par les infrastructures critiques, part du PIBIND.INF.disruption.critical_infrastructure_loss.gdp |
INF | Service disruption | impact | % |
COUNTRY, ADM1 | SENDAI C-5 |
Dépense intérieure brute de R&D, part du PIBIND.TEC.capability.rd_expenditure.gdp |
TEC | Technology capability | adaptive capacity | % |
COUNTRY | SDG 9.5.1 WB_WDI GB.XPD.RSDV.GD.ZS |
Chercheurs par million d'habitantsIND.TEC.capability.researchers_per_million |
TEC | Technology capability | adaptive capacity | /10*6 |
COUNTRY | SDG 9.5.2 WB_WDI SP.POP.SCIE.RD.P6 |
Exportations de haute technologie, part des exportations de produits manufacturésIND.TEC.capability.high_tech_exports |
TEC | Technology capability | adaptive capacity | % |
COUNTRY | WB_WDI TX.VAL.TECH.MF.ZS SDG 9.b.1 |
Concentration des fournisseurs de semi-conducteurs importésIND.TEC.concentration.semiconductor_import_concentration |
TEC | Concentration and dependence | vulnerability | 1 |
COUNTRY | |
Concentration des fournisseurs d'infrastructure cloudIND.TEC.concentration.cloud_provider_concentration |
TEC | Concentration and dependence | vulnerability | 1 |
COUNTRY | |
Capacité de calcul pour l'IA sous contrôle étranger ou d'un fournisseur uniqueIND.TEC.ai.ai_compute_foreign_control |
TEC | Intelligence artificielle | vulnerability | % |
COUNTRY | |
Concentration des fournisseurs de modèles de fondationIND.TEC.ai.foundation_model_concentration |
TEC | Intelligence artificielle | vulnerability | % |
COUNTRY | |
Supervision de la biosûreté et de la biosécurité des laboratoires de haut confinementIND.TEC.bio.biosecurity_lab_oversight |
TEC | Biotechnologie | coping capacity | {score} |
COUNTRY | |
Population à moins de 15 minutes des services d'urgenceIND.CRS.response.emergency_service_access |
CRS | Response capacity | coping capacity | % |
COUNTRY, ADM1, CITY | ISO_37120 ISO 37120:2018 |
Hazard families this series reads
families, each crosswalked to the UNDRR–ISC Hazard Information Profiles (2025) where a profile exists.
| Famille | Domaine | Aléas | Count |
|---|---|---|---|
| Solar-terrestrial storms | Espace et environnement proche de la Terre | 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 | Espace et environnement proche de la Terre | Near-Earth object approach, Meteorite impact, Airburst, Space debris, Orbital collision cascade, Uncontrolled re-entry, Spaceflight accident, Meteoroid stream encounter | 8 |
| Fault shaking and rupture | Terre solide | Earthquake, Induced earthquake, Aftershock sequence, Fault surface rupture, Soil liquefaction, Ground fissure, Earthquake swarm | 7 |
| Eruption products and unrest | Terre solide | 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 | Terre solide | Rockfall, Topple, Slope slide, Lateral spread, Debris flow, Earthflow and mudflow, Rock avalanche, Submarine landslide … | 9 |
| Ground deformation and subsidence | Terre solide | Land subsidence, Crustal uplift, Sinkhole, Shrink-swell soil movement, Soft-soil settlement, Ground gas seepage, Mining-induced subsidence | 7 |
| Erosion and sediment movement | Terre solide | Soil erosion, River bank erosion, Coastal erosion, Dune encroachment, Reservoir and channel siltation, River avulsion, Delta sediment starvation | 7 |
| Seabed and deep-sea hazards | Terre solide | Turbidity current, Submarine volcanic eruption, Seabed gas escape, Pumice raft, Deep-sea mining disturbance | 5 |
| Airborne and respiratory infection | Santé et biosécurité | Respiratory pandemic, Seasonal influenza epidemic, Zoonotic influenza spillover, Coronavirus outbreak, Tuberculosis surge, Bacterial meningitis outbreak | 6 |
| Vaccine-preventable outbreaks | Santé et biosécurité | Measles outbreak, Polio outbreak, Diphtheria and whooping cough outbreak, Other vaccine-preventable outbreak | 4 |
| Faecal-oral and foodborne infection | Santé et biosécurité | Cholera outbreak, Typhoid and paratyphoid fever, Shigellosis and dysentery outbreak, Viral diarrhoea outbreak, Faecal-oral hepatitis outbreak, Foodborne illness outbreak, Waterborne disease outbreak | 7 |
| Vector-borne infection | Santé et biosécurité | Dengue epidemic, Chikungunya and Zika outbreak, Yellow fever outbreak, West Nile and Culex-borne virus outbreak, Malaria resurgence, Plague outbreak, Trypanosomiasis outbreak, Tick-borne disease surge … | 10 |
| Haemorrhagic fever | Santé et biosécurité | Ebola and Marburg outbreak, Lassa fever outbreak, Crimean-Congo haemorrhagic fever outbreak | 3 |
| Blood-borne and sexually transmitted infection | Santé et biosécurité | HIV epidemic, Chronic viral hepatitis B and C burden, Sexually transmitted infection resurgence | 3 |
| Animal-to-human spillover | Santé et biosécurité | Zoonotic spillover event, Anthrax outbreak, Brucellosis outbreak, Rabies outbreak, Leptospirosis outbreak, Mpox outbreak, Rift Valley fever outbreak, Nipah and henipavirus outbreak | 8 |
| Rare and persistent human infections | Santé et biosécurité | Prion disease cluster, Smallpox reintroduction | 2 |
| Livestock and aquaculture epizootics | Santé et biosécurité | Swine fever epizootic, Foot-and-mouth epizootic, Ruminant respiratory epizootic, Vector-borne livestock disease, Poultry epizootic, Screwworm infestation, Aquaculture disease outbreak, Livestock disease outbreak | 8 |
| Plant disease and pests | Santé et biosécurité | Bacterial and fungal crop disease, Plant virus epidemic, Crop insect pest outbreak, Locust swarm, Invasive species spread | 5 |
| Systemic biological risks | Santé et biosécurité | Antimicrobial resistance, Deliberate or accidental biological-agent release | 2 |
| Environmental and product harm to people | Santé et biosécurité | Snakebite envenoming, Substandard and falsified medicines, Adulterated alcohol poisoning, Overdose epidemic | 4 |
| Climate-sensitive illness | Santé et biosécurité | Heat-related illness surge, Cold-related illness surge, Disease vector range expansion, Aeroallergen season intensification, Warm-water bacterial infection | 5 |
| Drug and insecticide resistance by pathogen class | Santé et biosécurité | Multidrug-resistant bacterial infection spread, Antiviral drug resistance, Antimalarial and antiparasitic drug resistance, Antifungal drug resistance, Insecticide resistance in disease vectors, Antimicrobial development and supply failure | 6 |
| Emerging and unknown infection threats | Santé et biosécurité | Unknown future pathogen emergence, Emerging fungal pathogen, Endemic fungal disease range expansion, Healthcare-associated infection outbreak, Undiagnosed illness cluster | 5 |
| Maternal, newborn and child health emergencies | Santé et biosécurité | Maternal mortality rise, Newborn mortality surge, Preterm and low birthweight birth rise, Childhood immunisation coverage collapse, Infant feeding disruption, Reproductive health service disruption | 6 |
| Mental health crises | Santé et biosécurité | Population mental distress surge, Post-disaster traumatic stress, Suicide rate rise, Youth mental health crisis, Climate-related psychological distress, Social isolation and loneliness epidemic, Mass psychogenic illness outbreak, Gambling harm surge | 8 |
| Noncommunicable disease surges | Santé et biosécurité | Cardiovascular disease surge, Diabetes epidemic, Obesity epidemic, Cancer burden rise, Chronic respiratory disease burden, Chronic kidney disease surge, Dementia burden growth, Post-infection chronic illness … | 11 |
| Malnutrition and micronutrient deficiency | Santé et biosécurité | Acute malnutrition surge, Chronic undernutrition and stunting, Micronutrient deficiency, Nutritional deficiency disease outbreak, Unhealthy diet transition, Crop nutrient decline | 6 |
| Occupational disease and injury | Santé et biosécurité | Occupational lung disease, Occupational heat strain, Occupational cancer, Occupational chemical poisoning, Workplace injury burden, Work-related psychosocial harm | 6 |
| Health system capacity failure | Santé et biosécurité | Health workforce shortage, Health worker industrial action, Health financing collapse, Catastrophic out-of-pocket health spending, Vaccine confidence collapse, Essential health service disruption, Disease surveillance failure, Health facility loss of function … | 9 |
| AI system failure and misalignment | Technologies de pointe et exponentielles | AI malfunction in a critical service, Out-of-distribution model failure, Correlated failure of shared AI models, Reliance on fabricated AI output, Specification gaming and reward hacking, Deceptive or strategically misaligned AI, Loss of human control over advanced AI, AI self-replication and exfiltration … | 11 |
| AI security and model supply chain | Technologies de pointe et exponentielles | Theft of frontier model weights, Backdoored AI model, AI model supply-chain compromise, Prompt injection against AI agents, AI-enabled cyber offence, Attack on AI compute infrastructure, Adversarial manipulation of machine learning | 7 |
| AI misuse and capability uplift | Technologies de pointe et exponentielles | AI uplift for biological weapons, AI uplift for chemical weapons, Synthetic media at scale, Non-consensual synthetic intimate imagery, AI-driven mass persuasion, AI-enabled mass surveillance and repression, AI-enabled seizure or entrenchment of power, Malicious use of AI | 8 |
| Agentic AI acting at scale | Technologies de pointe et exponentielles | Runaway autonomous agent action, Multi-agent interaction cascade, Algorithmic market flash crash, Human deskilling and over-reliance on AI, Gradual human disempowerment by AI, Autonomous agent overreach | 6 |
| Algorithmic decision and structural harm | Technologies de pointe et exponentielles | Harmful automated decision-making, Clinical AI error, Rapid AI-driven labour displacement, Concentration of frontier AI capability, Competitive AI race and safety erosion, Degradation of the shared knowledge base, Recommender-system amplification harm, Harm from AI companions and chatbots … | 12 |
| Robotics, autonomy and autonomous weapons | Technologies de pointe et exponentielles | Lethal autonomous weapon use, Drone swarm attack, Weaponised small drone attack, Drone intrusion into protected airspace, AI-accelerated military escalation, AI in nuclear command, control and warning, Industrial and service robot injury, Autonomous vehicle system failure … | 10 |
| Biotechnologie et biologie de synthèse | Technologies de pointe et exponentielles | Engineered pandemic pathogen, Dual-use research of concern, Benchtop DNA synthesis misuse, Biological design tool misuse, Automated biofoundry accident, Gene drive escape, Engineered organism escape into the environment, Mirror-image organism creation or release … | 10 |
| Nanotechnology and advanced materials | Technologies de pointe et exponentielles | Engineered nanomaterial exposure, High-aspect-ratio nanofibre inhalation, Nanomaterial accumulation in the environment, Uncontrolled self-replicating nanomachines, Molecular manufacturing arms race | 5 |
| Neurotechnology, human enhancement and extended reality | Technologies de pointe et exponentielles | Brain-computer interface failure, Neural device compromise, Neural data exploitation, Cognitive enhancement harm and coercion, Heritable human genome editing harm, Extended-reality physical and psychological harm, Manipulation of augmented perception | 7 |
| Quantum technology and cryptographic transition | Technologies de pointe et exponentielles | Cryptographically relevant quantum computer, Harvest-now, decrypt-later collection, Post-quantum migration failure, Quantum sensing erosion of strategic concealment | 4 |
| Technologies d’intervention climatique | Technologies de pointe et exponentielles | Solar geoengineering termination shock, Stratospheric aerosol injection side effects, Marine cloud brightening side effects, Unilateral or rogue geoengineering deployment, Ocean fertilisation side effects, Ocean alkalinity enhancement side effects, Large-scale carbon removal land and water competition, Geological carbon storage leakage … | 11 |
| Space technology and orbital infrastructure | Technologies de pointe et exponentielles | Destructive anti-satellite strike, Non-kinetic counterspace attack, Mega-constellation orbital congestion, Constellation-wide service failure, Upper-atmosphere pollution from launches and re-entries, Satellite interference with sky observation, Back-contamination from extraterrestrial samples | 7 |
| Digital infrastructure concentration and monoculture | Technologies de pointe et exponentielles | Critical open-source dependency failure, Advanced semiconductor fabrication concentration, Digital identity and trust service failure | 3 |
| Advanced and distributed manufacturing | Technologies de pointe et exponentielles | 3D-printed and untraceable firearms, Distributed production of weapon components, Additively manufactured critical part failure | 3 |
| Energy-transition technology failures | Technologies de pointe et exponentielles | Lithium battery fire in vehicles and transport, Mass manipulation of connected energy devices, Advanced reactor material security risk, Critical mineral supply concentration | 4 |
| Distributed ledgers and digital assets | Technologies de pointe et exponentielles | Smart-contract and oracle exploit | 1 |
| Supply-chain and flow disruption | Événements systémiques et composés | Supply-chain disruption, Chokepoint blockage, Port or hub closure, Fuel and energy supply shock, Food supply-chain breakdown, Trade restriction or embargo, Single-source supplier failure, Cold-chain failure … | 17 |
| Cascading failure | Événements systémiques et composés | Interdependent infrastructure cascade, Blackout-driven service cascade, Water-energy-food cascade, Financial contagion, Health-system overload, Emergency-response overload, Digital dependency cascade, Lifeline restoration deadlock … | 10 |
| Compound and multi-hazard events | Événements systémiques et composés | Compound flooding, Concurrent heat and drought, Simultaneous multi-region crop failure, Cold-wave energy crunch, Heat-driven grid stress, Natech event, Successive hazards, Disaster during an epidemic … | 9 |
| Structural fragility of interconnected systems | Événements systémiques et composés | Critical single point of failure, Critical service provider concentration, Common-mode failure, Technology monoculture, Lean inventory fragility, Geographic clustering of critical production, Unmapped critical dependency, Tightly coupled automated systems … | 11 |
| Planetary boundary transgressions | Limites planétaires et points de bascule du système Terre | 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 | Limites planétaires et points de bascule du système Terre | 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 | Limites planétaires et points de bascule du système Terre | 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 | Limites planétaires et points de bascule du système Terre | Amazon rainforest dieback, Boreal forest southern dieback, Boreal forest northern advance, Tropical forest carbon-sink reversal, Sahel vegetation regime shift | 5 |
| Carbon-cycle feedbacks | Limites planétaires et points de bascule du système Terre | 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 | Limites planétaires et points de bascule du système Terre | 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 | Limites planétaires et points de bascule du système Terre | Supereruption, Large-magnitude explosive eruption, Flood-basalt eruption episode, Impact winter, Comet shower, Solar superflare, Gamma-ray burst, Nearby supernova … | 10 |
The severe end of the distribution
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.
Risque de catastrophe
Stochastic Event Catalogue · Historical Event Catalogue · Event Footprint · Secondary Uncertainty · Loss Amplification · Financial Terms · Event Loss Table …
Réseaux, dépendances et risque systémique
Dependency Graph · Centrality · Critical Node · Cascading Failure · Contagion · Percolation · Interdependency …
Cyber, IA et technologies de pointe
Cyber Attack Surface · Exploitability · Threat Likelihood · Cyber Asset Criticality · Intrusion Propagation · Ransomware Risk · Identity Compromise …
Who uses it
Governments and national risk agencies
Prioritise prevention and preparedness. Plan with subnational layers. Track Sendai targets. Co-develop a national index.
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.
UN system and humanitarian organisations
Compare needs across contexts with intervals. Watch weekly signals for review. Read outlooks for anticipatory planning.
Rapports Nexus
- Edition code
SR-14- Edition status
- prévue
- Objet
- Set by Nexus Reports at commissioning
Citer et réutiliser
- Series key
grix:SER.SR-14:{ISO3}:{YEAR}:A- Domain keys
nis:IDX.SPC.weather.space_weather_exposure:{ISO3}:{YEAR}:A
Every country reads this series
Each country profile carries the domain indices this series is built from.
Statut
La méthodologie, la structure et les définitions de The Global Risks Index constituent un projet de travail préparatoire (2026), diffusé pour examen et commentaires et non pour mise en œuvre. Aucune valeur n'apparaît avant la publication d'une édition à partir d'une coupe de données probantes encadrée ; les valeurs comportent alors des intervalles, des classes, des sources et leur voie de correction. Les simulateurs appliquent les méthodes publiées à des nombres que vous choisissez et n'affichent jamais de valeur NXS-GRX.
Ce que NXS-GRX n'est pas
NXS-GRX est une information de recherche et d'analyse des risques. Ce n'est pas une notation de crédit ou ESG et il n'utilise aucune échelle de notation ; ce n'est pas un indice de référence pour des instruments financiers, ni une statistique officielle, ni une alerte d'urgence ou une classification officielle, ni un conseil. Il ne doit pas servir à évaluer des personnes physiques. Les classes de risque sont des bandes sur une échelle publiée, jamais des classements de pays ou de personnes.
Institutions et 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.
Chaque valeur porte l'attribution de ses sources, qui conservent leurs propres licences. Les noms externes ne sont cités qu'à des fins d'interopérabilité. Les textes rédigés par Nexus sont destinés à être publiés sous licence CC BY 4.0.
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.