Globale Katastrophen- und Extremrisiken
Risiken mit geringer Wahrscheinlichkeit und hoher Wirkung sowie globale Katastrophenrisiken: schweres Weltraumwetter, Supereruptionen, künstlich erzeugte und natürliche Pandemien, Versagensarten nuklearer und Frontier-Technologien, verbundene Zusammenbrüche.
1
Exposition gegenüber Weltraumwetter
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 gegenüber WeltraumwetterDomain 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-14Risiken mit geringer Wahrscheinlichkeit und hoher Wirkung sowie globale Katastrophenrisiken: schweres Weltraumwetter, Supereruptionen, künstlich erzeugte und natürliche Pandemien, Versagensarten nuklearer und Frontier-Technologien, verbundene Zusammenbrüche.
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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
| Index | Wert | Veränderung | Veränderung % | 90%-Intervall | Klasse · Wahrscheinlichkeit | Trend | Spanne |
|---|---|---|---|---|---|---|---|
Exposition gegenüber WeltraumwetterNXS-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.
| Indikator | Domäne | Sub-domain | Komponente | Einheit | Ebenen | Crosswalks |
|---|---|---|---|---|---|---|
Erwartete jährliche fiskalische Kosten von Katastrophen, Anteil am BIPIND.FIS.contingent.disaster_fiscal_cost.gdp |
FIS | Contingent liabilities | vulnerability | % |
COUNTRY | |
Absicherungslücke bei NaturkatastrophenIND.FIN.nbfi.nat_cat_protection_gap |
FIN | Non-bank financial intermediation | vulnerability | % |
REGION, COUNTRY | |
Bankkredite mit hohem physischem KlimarisikoIND.FIN.climate_finance.physical_risk_lending |
FIN | Climate-related financial exposure | exposure | % |
COUNTRY | |
Nettoimportabhängigkeit bei kritischen MineralienIND.ECO.concentration.critical_minerals_import_reliance |
ECO | Export and import concentration | vulnerability | % |
COUNTRY | |
Seehandel mit Exposition gegenüber maritimen EngpässenIND.ECO.supply_chain.chokepoint_exposure |
ECO | Supply-chain exposure | exposure | % |
COUNTRY | |
Veränderung der sehr heißen Tage (35 °C oder mehr)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) |
Projizierter relativer MeeresspiegelanstiegIND.CLI.projection.projected_sea_level_rise |
CLI | Scenario projections | hazard | m |
COUNTRY, ADM1, CITY, SITE | |
Bevölkerung unterhalb des künftigen 100-jährlichen Küstenhochwasserniveaus, AnteilIND.CLI.projection.slr_coastal_population_exposed.share |
CLI | Scenario projections | exposure | % |
COUNTRY, ADM1, CITY | WB_WDI EN.POP.EL5M.ZS |
Bevölkerung mit Exposition gegenüber zwei oder mehr großen Gefahren, AnteilIND.HAZ.multi.multi_hazard_exposure.share |
HAZ | Multi-hazard | exposure | % |
COUNTRY, ADM1, ADM2, CITY, GRID | INFORM HA.NAT |
Durchschnittlicher jährlicher Multi-Gefahren-Schaden, Anteil am BIPIND.HAZ.multi.aal.gdp |
HAZ | Multi-hazard | impact | % |
COUNTRY, ADM1, CITY, PORTFOLIO | |
Durchschnittlicher jährlicher Multi-Gefahren-Schaden, Anteil am produzierten KapitalstockIND.HAZ.multi.aal.capital_stock |
HAZ | Multi-hazard | impact | % |
COUNTRY, ADM1, CITY, PORTFOLIO | |
Wahrscheinlicher Höchstschaden bei einer Wiederkehrperiode von 250 Jahren, Anteil am BIPIND.HAZ.multi.pml_rp250.gdp |
HAZ | Multi-hazard | impact | % |
COUNTRY, ADM1, PORTFOLIO | |
Maximale Bodenbeschleunigung bei einer Wiederkehrperiode von 475 JahrenIND.HAZ.seismic.pga_rp475 |
HAZ | Seismic and volcanic | hazard | [g] |
COUNTRY, ADM1, CITY, GRID, SITE | UNDRR_HIPS_2025 GH0101 INFORM HA.NAT.EQ |
Menschen mit Exposition gegenüber starken Erdbebenerschütterungen, JahresdurchschnittIND.HAZ.seismic.eq_population_exposed |
HAZ | Seismic and volcanic | exposure | {persons} |
COUNTRY, ADM1, CITY, GRID | INFORM EX_EQ_MMI8 |
Menschen mit Exposition gegenüber starken Erdbebenerschütterungen, Anteil an der BevölkerungIND.HAZ.seismic.eq_population_exposed.share |
HAZ | Seismic and volcanic | exposure | % |
COUNTRY, ADM1, CITY | |
Durchschnittlicher jährlicher Erdbebenschaden, Anteil am BIPIND.HAZ.seismic.eq_aal.gdp |
HAZ | Seismic and volcanic | impact | % |
COUNTRY, ADM1, CITY, PORTFOLIO | |
Bevölkerung im Umkreis von 30 km um einen holozänen VulkanIND.HAZ.seismic.volcano_population_30km |
HAZ | Seismic and volcanic | exposure | {persons} |
COUNTRY, ADM1, CITY | UNDRR_HIPS_2025 GH0203 |
Wahrscheinlichkeit eines schädlichen Vulkanascheregens in 100 JahrenIND.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 |
Extremer Ruhewasserspiegel bei einer Wiederkehrperiode von 100 JahrenIND.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 |
Bevölkerung im 100-jährlichen Küstenüberschwemmungsgebiet, AnteilIND.HAZ.coastal.coastal_flood_population_exposed.share |
HAZ | Coastal and sea level | exposure | % |
COUNTRY, ADM1, CITY | INFORM EX_CFL UNDRR_HIPS_2025 MH0601 |
Bevölkerung unter 5 m Höhe, AnteilIND.HAZ.coastal.low_elevation_population.share |
HAZ | Coastal and sea level | exposure | % |
COUNTRY, ADM1, CITY | WB_WDI EN.POP.EL5M.ZS |
Maximale Tsunami-Überflutungshöhe bei einer Wiederkehrperiode von 500 JahrenIND.HAZ.coastal.tsunami_inundation_rp500 |
HAZ | Coastal and sea level | hazard | m |
COUNTRY, ADM1, CITY, SITE | UNDRR_HIPS_2025 MH0705 INFORM HA.NAT.TS |
Bevölkerung mit Tsunami-Exposition, AnteilIND.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 |
Menschen mit Exposition gegenüber Flusshochwasser, JahresdurchschnittIND.HAZ.flood.flood_population_exposed |
HAZ | Flood | exposure | {persons} |
COUNTRY, ADM1, ADM2, CITY | INFORM EX_FL INFORM HA.NAT.FL |
Menschen mit Exposition gegenüber Flusshochwasser, Anteil an der BevölkerungIND.HAZ.flood.flood_population_exposed.share |
HAZ | Flood | exposure | % |
COUNTRY, ADM1, ADM2, CITY | |
Bemessungsstandard des HochwasserschutzesIND.HAZ.flood.flood_protection_standard |
HAZ | Flood | coping capacity | a |
COUNTRY, ADM1, CITY, SITE | |
Durchschnittlicher jährlicher Flusshochwasserschaden, Anteil am BIPIND.HAZ.flood.flood_aal.gdp |
HAZ | Flood | impact | % |
COUNTRY, ADM1, CITY, PORTFOLIO | |
Windgeschwindigkeit tropischer Wirbelstürme bei einer Wiederkehrperiode von 100 JahrenIND.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 |
Jährliche Wahrscheinlichkeit von Wirbelsturmwind der Kategorie 1 oder stärkerIND.HAZ.storm.tc_cat1_probability |
HAZ | Tropical and severe storms | hazard | 1 |
COUNTRY, ADM1, CITY, GRID, SITE | |
Menschen mit Exposition gegenüber Wirbelsturmwind der Kategorie 1, JahresdurchschnittIND.HAZ.storm.tc_population_exposed |
HAZ | Tropical and severe storms | exposure | {persons} |
COUNTRY, ADM1, CITY | INFORM EX_TC_SS1 |
Menschen mit Exposition gegenüber Wirbelsturmwind der Kategorie 1, Anteil an der BevölkerungIND.HAZ.storm.tc_population_exposed.share |
HAZ | Tropical and severe storms | exposure | % |
COUNTRY, ADM1, CITY | |
Durchschnittlicher jährlicher Schaden durch tropische Wirbelstürme, Anteil am BIPIND.HAZ.storm.tc_aal.gdp |
HAZ | Tropical and severe storms | impact | % |
COUNTRY, ADM1, PORTFOLIO | |
Tage mit Großhagel pro JahrIND.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 |
Tage mit Bedingungen für schwere GewitterIND.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 |
Häufigkeit schwerer meteorologischer DürreIND.HAZ.drought.spei_drought_frequency |
HAZ | Dürre | hazard | % |
COUNTRY, ADM1, GRID | UNDRR_HIPS_2025 MH0401 INFORM HA.NAT.DR |
Häufigkeit landwirtschaftlichen DürrestressesIND.HAZ.drought.agricultural_stress_frequency |
HAZ | Dürre | hazard | % |
COUNTRY, ADM1, GRID | INFORM ASI |
Von Dürre betroffene Menschen, durchschnittlicher jährlicher AnteilIND.HAZ.drought.drought_affected.share |
HAZ | Dürre | impact | % |
COUNTRY | INFORM AFF_DR EMDAT nat-cli-dro-dro |
Tage mit gefährlicher feuchter Hitze pro JahrIND.HAZ.heat.dangerous_heat_days |
HAZ | Extreme heat | hazard | d/a |
COUNTRY, ADM1, CITY, GRID | UNDRR_HIPS_2025 MH0501 |
Hitzewellen-Expositionsereignisse pro PersonIND.HAZ.heat.heatwave_person_days |
HAZ | Extreme heat | exposure | d/a |
COUNTRY, ADM1, CITY | |
Bevölkerung mit Exposition gegenüber extremer Hitze, AnteilIND.HAZ.heat.heat_population_exposed.share |
HAZ | Extreme heat | exposure | % |
COUNTRY, ADM1, CITY | |
Tage mit extremem Feuerwetter pro JahrIND.HAZ.wildfire.extreme_fire_weather_days |
HAZ | Waldbrand | hazard | d/a |
COUNTRY, ADM1, GRID | |
Jährlich verbrannte Fläche, Anteil an der LandflächeIND.HAZ.wildfire.burned_area.share |
HAZ | Waldbrand | hazard | % |
COUNTRY, ADM1, GRID | UNDRR_HIPS_2025 EN0205 EMDAT nat-cli-wil-wil |
Bevölkerung im Übergangsbereich zwischen Wildnis und Siedlung, AnteilIND.HAZ.wildfire.wui_population.share |
HAZ | Waldbrand | exposure | % |
COUNTRY, ADM1, CITY | |
Bevölkerung in Zonen hoher Erdrutschanfälligkeit, AnteilIND.HAZ.landslide.landslide_susceptible_population.share |
HAZ | Landslide | exposure | % |
COUNTRY, ADM1, ADM2, CITY, GRID | UNDRR_HIPS_2025 GH0300 |
Todesopfer durch Erdrutsche je 100.000, JahresdurchschnittIND.HAZ.landslide.fatal_landslide_rate |
HAZ | Landslide | impact | /10*5 |
COUNTRY, ADM1 | EMDAT nat-hyd-mmw-lan |
Bevölkerung in der Nähe von Industriestandorten mit großer Gefahr, AnteilIND.HAZ.technological.major_hazard_site_population.share |
HAZ | Technologisch | exposure | % |
COUNTRY, ADM1, CITY | UNDRR_HIPS_2025 TL0304 UNDRR_HIPS_2025 TL0309 |
Bevölkerung im Umkreis von 30 km um einen in Betrieb befindlichen KernreaktorIND.HAZ.technological.nuclear_population_30km |
HAZ | Technologisch | exposure | {persons} |
COUNTRY, ADM1, CITY | UNDRR_HIPS_2025 TL0208 |
Todesopfer durch Industrieunfälle je 100.000, JahresdurchschnittIND.HAZ.technological.industrial_accident_deaths |
HAZ | Technologisch | impact | /10*5 |
COUNTRY | EMDAT tec-ind-ind-ind |
Bebaute FlächeIND.HAZ.exposure.built_up_area |
HAZ | Exposition | context | km2 |
COUNTRY, ADM1, ADM2, CITY, GRID | |
Produzierter KapitalstockIND.HAZ.exposure.capital_stock |
HAZ | Exposition | context | [USD] |
COUNTRY, ADM1, PORTFOLIO | |
Bebaute Fläche in Zonen hoher GefahrIND.HAZ.exposure.built_up_exposed |
HAZ | Exposition | exposure | km2 |
COUNTRY, ADM1, ADM2, CITY, GRID | |
Bebaute Fläche in Zonen hoher Gefahr, AnteilIND.HAZ.exposure.built_up_exposed.share |
HAZ | Exposition | exposure | % |
COUNTRY, ADM1, ADM2, CITY | |
In Zonen hoher Gefahr erwirtschaftetes BIP, AnteilIND.HAZ.exposure.gdp_exposed.share |
HAZ | Exposition | exposure | % |
COUNTRY, ADM1, CITY | |
Todesopfer und Vermisste durch Katastrophen je 100.000IND.HAZ.loss.deaths_missing_rate |
HAZ | Losses and impacts | impact | /10*5 |
COUNTRY, ADM1 | SENDAI A-1 SDG 1.5.1 |
Direkt von Katastrophen betroffene Menschen je 100.000IND.HAZ.loss.directly_affected_rate |
HAZ | Losses and impacts | impact | /10*5 |
COUNTRY, ADM1 | SENDAI B-1 SDG 1.5.1 |
Direkter wirtschaftlicher Schaden durch Katastrophen, Anteil am BIPIND.HAZ.loss.direct_economic_loss.gdp |
HAZ | Losses and impacts | impact | % |
COUNTRY, ADM1 | SENDAI C-1 SDG 1.5.2 |
Erfasste Todesopfer durch Katastrophen je 100.000, 30-Jahres-DurchschnittIND.HAZ.loss.recorded_disaster_deaths |
HAZ | Losses and impacts | impact | /10*5 |
COUNTRY, ADM1 | EMDAT Total Deaths |
Erfasste von Katastrophen betroffene Menschen je 100.000, 30-Jahres-DurchschnittIND.HAZ.loss.recorded_disaster_affected |
HAZ | Losses and impacts | impact | /10*5 |
COUNTRY, ADM1 | EMDAT Total Affected |
Erfasste Katastrophenschäden, Anteil am BIP, 30-Jahres-DurchschnittIND.HAZ.loss.recorded_disaster_damage.gdp |
HAZ | Losses and impacts | impact | % |
COUNTRY | EMDAT Total Damage, Adjusted ('000 US$) |
PM2.5-Exposition, bevölkerungsgewichteter MittelwertIND.ENV.air.pm25_exposure |
ENV | Luftqualität | hazard | ug/m3 |
COUNTRY, ADM1, CITY, GRID | WB_WDI EN.ATM.PM25.MC.M3 SDG 11.6.2 EPI PMD |
Bevölkerung mit Exposition über dem PM2.5-Richtwert der WHO, AnteilIND.ENV.air.pm25_guideline_exceedance.share |
ENV | Luftqualität | exposure | % |
COUNTRY, ADM1, CITY | WB_WDI EN.ATM.PM25.MC.ZS |
Saisonale Spitzenexposition gegenüber OzonIND.ENV.air.ozone_exposure |
ENV | Luftqualität | hazard | [ppb] |
COUNTRY, ADM1, CITY, GRID | |
Bevölkerung mit sicher verwaltetem TrinkwasserIND.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 |
Bevölkerung mit mindestens grundlegender TrinkwasserversorgungIND.WAT.access.basic_drinking_water.share |
WAT | Drinking water and sanitation | vulnerability | % |
COUNTRY, ADM1 | WB_WDI SH.H2O.BASW.ZS |
Bevölkerung mit sicher verwalteter SanitärversorgungIND.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 |
Bevölkerung mit grundlegenden HandwaschmöglichkeitenIND.WAT.access.basic_handwashing.share |
WAT | Drinking water and sanitation | vulnerability | % |
COUNTRY, ADM1 | WB_WDI SH.STA.HYGN.ZS SDG 6.2.1 |
Abhängigkeitsquote von externen erneuerbaren WasserressourcenIND.WAT.dependence.external_water_dependency |
WAT | Transboundary dependence | exposure | % |
COUNTRY | |
Severe geomagnetic storm days per yearIND.SPC.weather.severe_geomagnetic_storm_days |
SPC | Weltraumwetter | hazard | d/a |
GLOBAL | UNDRR_HIPS_2025 ET0101 EMDAT nat-ext-spa-geo |
Amplitude des geoelektrischen Feldes bei einer Wiederkehrperiode von 100 JahrenIND.SPC.weather.geoelectric_field_rp100 |
SPC | Weltraumwetter | hazard | V/km |
COUNTRY, ADM1, GRID | |
Strong solar radiation storm days per yearIND.SPC.weather.radiation_storm_days |
SPC | Weltraumwetter | hazard | d/a |
GLOBAL | UNDRR_HIPS_2025 ET0104 EMDAT nat-ext-spa-ene |
BIP in GNSS-abhängigen Tätigkeiten, AnteilIND.SPC.dependence.gnss_dependent_gdp.share |
SPC | Space-service dependence | exposure | % |
COUNTRY, PORTFOLIO | UNDRR_HIPS_2025 ET0102 |
Kritische Dienste, die ohne Rückfallebene auf Satelliten angewiesen sind, AnteilIND.SPC.dependence.satellite_service_exposure.share |
SPC | Space-service dependence | vulnerability | % |
COUNTRY | |
Hochspannungsnetz in Zonen hoher geoelektrischer Gefahr, AnteilIND.SPC.dependence.grid_gic_exposure.share |
SPC | Space-service dependence | exposure | % |
COUNTRY, ADM1 | |
Sterblichkeitsrate bei Kindern unter fünf JahrenIND.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 |
NeugeborenensterblichkeitsrateIND.HLT.burden.neonatal_mortality |
HLT | Disease burden and mortality | vulnerability | /10*3 |
COUNTRY | WB_WDI SH.DYN.NMRT SDG 3.2.2 |
MüttersterblichkeitsrateIND.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 |
Lebenserwartung bei GeburtIND.HLT.burden.life_expectancy |
HLT | Disease burden and mortality | vulnerability | a |
COUNTRY | WB_WDI SP.DYN.LE00.IN WHO_GHO WHOSIS_000001 |
Vorzeitige Sterblichkeit durch wichtige nichtübertragbare KrankheitenIND.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 |
Tuberkulose-InzidenzIND.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 |
Malaria-InzidenzIND.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 |
HIV-InzidenzIND.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 |
Ärztinnen und Ärzte je 1.000 EinwohnerIND.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 |
Pflegekräfte und Hebammen je 1.000 EinwohnerIND.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 |
Krankenhausbetten je 1.000 EinwohnerIND.HLT.system.hospital_beds |
HLT | Health system capacity | coping capacity | /10*3 |
COUNTRY | WB_WDI SH.MED.BEDS.ZS WHO_GHO WHS6_102 |
Index der Versorgungsabdeckung für allgemeine Gesundheitsversorgung (UHC)IND.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 |
Bevölkerung mit katastrophalen Eigenausgaben für GesundheitIND.HLT.system.catastrophic_oop |
HLT | Health system capacity | vulnerability | % |
COUNTRY | SDG 3.8.2 WB_WDI SH.UHC.OOPC.10.ZS |
Eigenausgaben, Anteil an den laufenden GesundheitsausgabenIND.HLT.system.oop_share |
HLT | Health system capacity | vulnerability | % |
COUNTRY | WB_WDI SH.XPD.OOPC.CH.ZS WHO_GHO GHED_OOPSCHE_SHA2011 |
Laufende Gesundheitsausgaben, Anteil am BIPIND.HLT.system.health_expenditure.gdp |
HLT | Health system capacity | coping capacity | % |
COUNTRY | WB_WDI SH.XPD.CHEX.GD.ZS |
DTP3-ImpfquoteIND.HLT.system.dtp3_coverage |
HLT | Health system capacity | coping capacity | % |
COUNTRY | WHO_GHO WHS4_100 WB_WDI SH.IMM.IDPT SDG 3.b.1 |
Impfquote der zweiten MasernimpfdosisIND.HLT.system.mcv2_coverage |
HLT | Health system capacity | coping capacity | % |
COUNTRY | WHO_GHO MCV2 WB_WDI SH.IMM.MEA2 SDG 3.b.1 |
Von qualifiziertem Gesundheitspersonal begleitete GeburtenIND.HLT.system.skilled_birth_attendance |
HLT | Health system capacity | coping capacity | % |
COUNTRY | WB_WDI SH.STA.BRTC.ZS SDG 3.1.2 |
Reisezeit zur nächsten GesundheitseinrichtungIND.HLT.system.health_facility_travel_time |
HLT | Health system capacity | vulnerability | min |
COUNTRY, ADM1, ADM2, CITY, GRID | |
IGV-Kernkapazitätswert (SPAR)IND.HLT.security.spar_capacity |
HLT | Health security (IHR) | coping capacity | {score} |
COUNTRY | SDG 3.d.1 WHO_GHO SDGIHR2021 WHO_GHO SDGIHR2018 |
IGV-Laborkapazität (SPAR C4)IND.HLT.security.spar_laboratory |
HLT | Health security (IHR) | coping capacity | {score} |
COUNTRY | SPAR C4 WHO_GHO IHRSPAR2_C04 JEE D1 |
IGV-Überwachungskapazität (SPAR C5)IND.HLT.security.spar_surveillance |
HLT | Health security (IHR) | coping capacity | {score} |
COUNTRY | SPAR C5 WHO_GHO IHRSPAR2_C05 JEE D2 |
IGV-Kapazität für das Management gesundheitlicher Notlagen (SPAR C7)IND.HLT.security.spar_emergency_management |
HLT | Health security (IHR) | coping capacity | {score} |
COUNTRY | SPAR C7 WHO_GHO IHRSPAR2_C07 JEE R1 |
IGV-Kapazität für Risikokommunikation (SPAR C10)IND.HLT.security.spar_risk_communication |
HLT | Health security (IHR) | coping capacity | {score} |
COUNTRY | SPAR C10 WHO_GHO IHRSPAR2_C10 JEE R5 |
Häufigkeit epidemischer EreignisseIND.HLT.epidemic.outbreak_event_frequency |
HLT | Epidemic and outbreak | hazard | 1 |
COUNTRY, ADM1 | |
Gemeldete Cholerafälle je 100.000 EinwohnerIND.HLT.epidemic.cholera_cases.p100k |
HLT | Epidemic and outbreak | hazard | /10*5 |
COUNTRY | WHO_GHO CHOLERA_0000000001 |
Blutstrominfektionen durch MRSAIND.HLT.amr.mrsa_bloodstream |
HLT | Antimicrobial resistance | hazard | % |
COUNTRY | WHO_GHO AMR_INFECT_MRSA SDG 3.d.2 |
Blutstrominfektionen durch E. coli mit Resistenz gegen Cephalosporine der dritten GenerationIND.HLT.amr.ecoli_3gc_bloodstream |
HLT | Antimicrobial resistance | hazard | % |
COUNTRY | WHO_GHO AMR_INFECT_ECOLI SDG 3.d.2 |
Wachstumsverzögerung bei Kindern unter fünf JahrenIND.HLT.nutrition.stunting |
HLT | Nutrition | vulnerability | % |
COUNTRY | WB_WDI SH.STA.STNT.ME.ZS SDG 2.2.1 WHO_GHO NUTSTUNTINGPREV FAO_FAOSTAT 21025 |
Auszehrung bei Kindern unter fünf JahrenIND.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 |
Anämie bei Frauen im gebärfähigen AlterIND.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 |
Jugendliche ohne Beschäftigung, Bildung oder AusbildungIND.SOC.protection.youth_neet |
SOC | Social protection | vulnerability | % |
COUNTRY | WB_WDI SL.UEM.NEET.ZS SDG 8.6.1 ILO SDG_0861_SEX_RT |
Bevölkerung ab 65 Jahren, Anteil an der GesamtbevölkerungIND.DEM.structure.share_65plus |
DEM | Age structure | vulnerability | % |
COUNTRY | WB_WDI SP.POP.65UP.TO.ZS |
Flüchtlinge nach HerkunftslandIND.DEM.displacement.refugees_origin |
DEM | Forced displacement | impact | {persons} |
COUNTRY | UNHCR REF WB_WDI SM.POP.REFG.OR |
Flüchtlinge nach Herkunftsland, je 100.000 EinwohnerIND.DEM.displacement.refugees_origin.p100k |
DEM | Forced displacement | impact | /10*5 |
COUNTRY | SDG 10.7.4 |
Binnenvertriebene, Konflikt und Gewalt (Bestand)IND.DEM.displacement.idp_conflict |
DEM | Forced displacement | impact | {persons} |
COUNTRY, ADM1 | IDMC conflict_total_displacement WB_WDI VC.IDP.TOCV UNHCR IDP |
Binnenvertriebene, Katastrophen (Bestand)IND.DEM.displacement.idp_disaster |
DEM | Forced displacement | impact | {persons} |
COUNTRY, ADM1 | IDMC disaster_total_displacement |
Binnenvertriebene, je 100.000 EinwohnerIND.DEM.displacement.idp_total.p100k |
DEM | Forced displacement | impact | /10*5 |
COUNTRY | |
Neue Binnenvertreibungen, Konflikt und GewaltIND.DEM.displacement.new_displacement_conflict |
DEM | Forced displacement | impact | 1 |
COUNTRY, ADM1 | IDMC conflict_new_displacement WB_WDI VC.IDP.NWCV |
Neue Binnenvertreibungen, KatastrophenIND.DEM.displacement.new_displacement_disaster |
DEM | Forced displacement | impact | 1 |
COUNTRY, ADM1 | IDMC disaster_new_displacement WB_WDI VC.IDP.NWDS |
Neue Binnenvertreibungen, je 100.000 EinwohnerIND.DEM.displacement.new_displacement.p100k |
DEM | Forced displacement | impact | /10*5 |
COUNTRY | |
Gemeldete Todesopfer organisierter politischer GewaltIND.CON.violence.conflict_fatalities |
CON | Organised violence | hazard | 1 |
COUNTRY, ADM1, ADM2, GRID | ACLED fatalities |
Konflikttote je 100.000 EinwohnerIND.CON.violence.conflict_fatalities.p100k |
CON | Organised violence | hazard | /10*5 |
COUNTRY, ADM1, ADM2 | SDG 16.1.2 |
Kampfbezogene Todesfälle (UCDP)IND.CON.violence.battle_related_deaths |
CON | Organised violence | hazard | {persons} |
COUNTRY | WB_WDI VC.BTL.DETH |
Ereignisse politischer GewaltIND.CON.violence.political_violence_events |
CON | Organised violence | hazard | 1 |
COUNTRY, ADM1, ADM2, GRID | ACLED Political violence |
Ereignisse bewaffneter KonflikteIND.CON.violence.armed_conflict_events |
CON | Organised violence | hazard | 1 |
COUNTRY, ADM1, ADM2, GRID | ACLED Battles ACLED Explosions/Remote violence |
Geografische Ausbreitung von KonfliktenIND.CON.violence.conflict_diffusion |
CON | Organised violence | exposure | % |
COUNTRY | ACLED Diffusion |
Fragmentierung bewaffneter AkteureIND.CON.violence.armed_group_fragmentation |
CON | Organised violence | hazard | 1 |
COUNTRY | ACLED Fragmentation |
Rate vorsätzlicher TötungsdelikteIND.CON.violence.homicide_rate |
CON | Organised violence | hazard | /10*5 |
COUNTRY, ADM1, CITY | WB_WDI VC.IHR.PSRC.P5 SDG 16.1.1 |
Militärausgaben, Anteil am BIPIND.CON.violence.military_expenditure.gdp |
CON | Organised violence | vulnerability | % |
COUNTRY | WB_WDI MS.MIL.XPND.GD.ZS |
Personal der Streitkräfte, Anteil an den ErwerbspersonenIND.CON.violence.armed_forces_share |
CON | Organised violence | vulnerability | % |
COUNTRY | WB_WDI MS.MIL.TOTL.TF.ZS |
Gegen Zivilpersonen gerichtete EreignisseIND.CON.civilian.civilian_targeting_events |
CON | Civilian harm | hazard | 1 |
COUNTRY, ADM1, ADM2, GRID | ACLED civilian_targeting ACLED Violence against civilians |
Zivile Todesopfer gezielter Gewalt, je 100.000 EinwohnerIND.CON.civilian.civilian_fatalities.p100k |
CON | Civilian harm | impact | /10*5 |
COUNTRY, ADM1 | ACLED Danger |
Angriffe auf die GesundheitsversorgungIND.CON.civilian.attacks_on_health_care |
CON | Civilian harm | impact | 1 |
COUNTRY | |
Opfer von Landminen und explosiven KriegsmunitionsrückständenIND.CON.civilian.explosive_ordnance_casualties |
CON | Civilian harm | impact | {persons} |
COUNTRY | |
Unruhen und gewaltsame DemonstrationenIND.CON.peace.riot_events |
CON | Peacefulness | hazard | 1 |
COUNTRY, ADM1, CITY | ACLED Riots |
Global Peace Index, Gesamtwert (IEP)IND.CON.peace.gpi_score |
CON | Peacefulness | vulnerability | {score} |
COUNTRY | GPI Overall Score |
Global Peace Index, Wert im Bereich andauernde Konflikte (IEP)IND.CON.peace.gpi_ongoing_conflict |
CON | Peacefulness | hazard | {score} |
COUNTRY | GPI Ongoing Domestic and International Conflict |
Einstufung nach OECD States of FragilityIND.CON.fragility.oecd_fragility_class |
CON | Fragility | vulnerability | {class} |
COUNTRY | OECD_FRAGILITY Fragile contexts |
Status als fragile und konfliktbetroffene Situation laut WeltbankIND.CON.fragility.wb_fcs_status |
CON | Fragility | vulnerability | {bool} |
COUNTRY | |
Politische Stabilität und Abwesenheit von Gewalt (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 |
Bevölkerung, die überwiegend saubere Brennstoffe und Technologien zum Kochen nutztIND.ENE.access.clean_cooking |
ENE | Zugang | vulnerability | % |
COUNTRY, ADM1 | SDG 7.1.2 WB_WDI EG.CFT.ACCS.ZS |
Lieferantenkonzentration bei Importen kritischer MineralienIND.ENE.minerals.critical_mineral_import_concentration |
ENE | Critical minerals | vulnerability | 1 |
COUNTRY | |
Straßen- und Schienennetz in Zonen hoher Gefahr, AnteilIND.INF.transport.network_exposed.share |
INF | Transport | exposure | % |
COUNTRY, ADM1, ADM2, CITY, GRID | |
Kritische Einrichtungen mit 72-Stunden-NotstromversorgungIND.INF.utilities.critical_facility_backup_power |
INF | Utilities | coping capacity | % |
COUNTRY, ADM1, CITY | ISO_37123 ISO 37123:2019 |
Anlagen der Wasserversorgung in Zonen hoher Gefahr, AnteilIND.INF.utilities.water_assets_exposed.share |
INF | Utilities | exposure | % |
COUNTRY, ADM1, ADM2, CITY, GRID | |
Anlagen der Stromerzeugung und des Stromnetzes in Zonen hoher Gefahr, AnteilIND.INF.utilities.power_assets_exposed.share |
INF | Utilities | exposure | % |
COUNTRY, ADM1, ADM2, CITY, GRID | |
Lebenswichtige Versorgungseinrichtungen in Zonen hoher Gefahr, AnteilIND.INF.utilities.lifeline_facilities_exposed.share |
INF | Utilities | exposure | % |
COUNTRY, ADM1, ADM2, CITY, GRID | |
Durch Katastrophen beschädigte oder zerstörte Einheiten kritischer InfrastrukturIND.INF.disruption.critical_infrastructure_damage |
INF | Service disruption | impact | 1 |
COUNTRY, ADM1 | SENDAI D-1 SDG 11.5.2 |
Durch Katastrophen beschädigte oder zerstörte GesundheitseinrichtungenIND.INF.disruption.health_facilities_damaged |
INF | Service disruption | impact | 1 |
COUNTRY, ADM1 | SENDAI D-2 |
Direkter wirtschaftlicher Schaden an kritischer Infrastruktur, Anteil am BIPIND.INF.disruption.critical_infrastructure_loss.gdp |
INF | Service disruption | impact | % |
COUNTRY, ADM1 | SENDAI C-5 |
Bruttoinlandsausgaben für F&E, Anteil am BIPIND.TEC.capability.rd_expenditure.gdp |
TEC | Technology capability | adaptive capacity | % |
COUNTRY | SDG 9.5.1 WB_WDI GB.XPD.RSDV.GD.ZS |
Forschende je Million EinwohnerIND.TEC.capability.researchers_per_million |
TEC | Technology capability | adaptive capacity | /10*6 |
COUNTRY | SDG 9.5.2 WB_WDI SP.POP.SCIE.RD.P6 |
Hochtechnologieexporte, Anteil an den Exporten von IndustrieerzeugnissenIND.TEC.capability.high_tech_exports |
TEC | Technology capability | adaptive capacity | % |
COUNTRY | WB_WDI TX.VAL.TECH.MF.ZS SDG 9.b.1 |
Lieferantenkonzentration bei HalbleiterimportenIND.TEC.concentration.semiconductor_import_concentration |
TEC | Concentration and dependence | vulnerability | 1 |
COUNTRY | |
Anbieterkonzentration bei Cloud-InfrastrukturIND.TEC.concentration.cloud_provider_concentration |
TEC | Concentration and dependence | vulnerability | 1 |
COUNTRY | |
KI-Rechenkapazität unter ausländischer Kontrolle oder Kontrolle eines einzelnen AnbietersIND.TEC.ai.ai_compute_foreign_control |
TEC | Künstliche Intelligenz | vulnerability | % |
COUNTRY | |
Anbieterkonzentration bei BasismodellenIND.TEC.ai.foundation_model_concentration |
TEC | Künstliche Intelligenz | vulnerability | % |
COUNTRY | |
Aufsicht über biologische Sicherheit und Biosicherheit von HochsicherheitslaborenIND.TEC.bio.biosecurity_lab_oversight |
TEC | Biotechnologie | coping capacity | {score} |
COUNTRY | |
Bevölkerung innerhalb von 15 Minuten zu RettungsdienstenIND.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.
| Familie | Domäne | Gefahren | Count |
|---|---|---|---|
| Solar-terrestrial storms | Weltraum und erdnaher Raum | 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 | Weltraum und erdnaher Raum | 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 | Feste Erde | Earthquake, Induced earthquake, Aftershock sequence, Fault surface rupture, Soil liquefaction, Ground fissure, Earthquake swarm | 7 |
| Eruption products and unrest | Feste Erde | 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 | Feste Erde | Rockfall, Topple, Slope slide, Lateral spread, Debris flow, Earthflow and mudflow, Rock avalanche, Submarine landslide … | 9 |
| Ground deformation and subsidence | Feste Erde | Land subsidence, Crustal uplift, Sinkhole, Shrink-swell soil movement, Soft-soil settlement, Ground gas seepage, Mining-induced subsidence | 7 |
| Erosion and sediment movement | Feste Erde | Soil erosion, River bank erosion, Coastal erosion, Dune encroachment, Reservoir and channel siltation, River avulsion, Delta sediment starvation | 7 |
| Seabed and deep-sea hazards | Feste Erde | Turbidity current, Submarine volcanic eruption, Seabed gas escape, Pumice raft, Deep-sea mining disturbance | 5 |
| Airborne and respiratory infection | Gesundheit und Biosicherheit | Respiratory pandemic, Seasonal influenza epidemic, Zoonotic influenza spillover, Coronavirus outbreak, Tuberculosis surge, Bacterial meningitis outbreak | 6 |
| Vaccine-preventable outbreaks | Gesundheit und Biosicherheit | Measles outbreak, Polio outbreak, Diphtheria and whooping cough outbreak, Other vaccine-preventable outbreak | 4 |
| Faecal-oral and foodborne infection | Gesundheit und Biosicherheit | 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 | Gesundheit und Biosicherheit | 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 | Gesundheit und Biosicherheit | Ebola and Marburg outbreak, Lassa fever outbreak, Crimean-Congo haemorrhagic fever outbreak | 3 |
| Blood-borne and sexually transmitted infection | Gesundheit und Biosicherheit | HIV epidemic, Chronic viral hepatitis B and C burden, Sexually transmitted infection resurgence | 3 |
| Animal-to-human spillover | Gesundheit und Biosicherheit | 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 | Gesundheit und Biosicherheit | Prion disease cluster, Smallpox reintroduction | 2 |
| Livestock and aquaculture epizootics | Gesundheit und Biosicherheit | 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 | Gesundheit und Biosicherheit | Bacterial and fungal crop disease, Plant virus epidemic, Crop insect pest outbreak, Locust swarm, Invasive species spread | 5 |
| Systemic biological risks | Gesundheit und Biosicherheit | Antimicrobial resistance, Deliberate or accidental biological-agent release | 2 |
| Environmental and product harm to people | Gesundheit und Biosicherheit | Snakebite envenoming, Substandard and falsified medicines, Adulterated alcohol poisoning, Overdose epidemic | 4 |
| Climate-sensitive illness | Gesundheit und Biosicherheit | 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 | Gesundheit und Biosicherheit | 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 | Gesundheit und Biosicherheit | 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 | Gesundheit und Biosicherheit | 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 | Gesundheit und Biosicherheit | 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 | Gesundheit und Biosicherheit | 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 | Gesundheit und Biosicherheit | Acute malnutrition surge, Chronic undernutrition and stunting, Micronutrient deficiency, Nutritional deficiency disease outbreak, Unhealthy diet transition, Crop nutrient decline | 6 |
| Occupational disease and injury | Gesundheit und Biosicherheit | Occupational lung disease, Occupational heat strain, Occupational cancer, Occupational chemical poisoning, Workplace injury burden, Work-related psychosocial harm | 6 |
| Health system capacity failure | Gesundheit und Biosicherheit | 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 | Grenz- und Exponentialtechnologien | 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 | Grenz- und Exponentialtechnologien | 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 | Grenz- und Exponentialtechnologien | 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 | Grenz- und Exponentialtechnologien | 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 | Grenz- und Exponentialtechnologien | 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 | Grenz- und Exponentialtechnologien | 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 und synthetische Biologie | Grenz- und Exponentialtechnologien | 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 | Grenz- und Exponentialtechnologien | 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 | Grenz- und Exponentialtechnologien | 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 | Grenz- und Exponentialtechnologien | Cryptographically relevant quantum computer, Harvest-now, decrypt-later collection, Post-quantum migration failure, Quantum sensing erosion of strategic concealment | 4 |
| Technologien zur Klimaintervention | Grenz- und Exponentialtechnologien | 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 | Grenz- und Exponentialtechnologien | 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 | Grenz- und Exponentialtechnologien | Critical open-source dependency failure, Advanced semiconductor fabrication concentration, Digital identity and trust service failure | 3 |
| Advanced and distributed manufacturing | Grenz- und Exponentialtechnologien | 3D-printed and untraceable firearms, Distributed production of weapon components, Additively manufactured critical part failure | 3 |
| Energy-transition technology failures | Grenz- und Exponentialtechnologien | 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 | Grenz- und Exponentialtechnologien | Smart-contract and oracle exploit | 1 |
| Supply-chain and flow disruption | Systemische und zusammengesetzte Ereignisse | 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 | Systemische und zusammengesetzte Ereignisse | 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 | Systemische und zusammengesetzte Ereignisse | 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 | Systemische und zusammengesetzte Ereignisse | 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 | Planetare Grenzen und Kipppunkte des Erdsystems | 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 | Planetare Grenzen und Kipppunkte des Erdsystems | 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 | Planetare Grenzen und Kipppunkte des Erdsystems | 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 | Planetare Grenzen und Kipppunkte des Erdsystems | Amazon rainforest dieback, Boreal forest southern dieback, Boreal forest northern advance, Tropical forest carbon-sink reversal, Sahel vegetation regime shift | 5 |
| Carbon-cycle feedbacks | Planetare Grenzen und Kipppunkte des Erdsystems | 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 | Planetare Grenzen und Kipppunkte des Erdsystems | 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 | Planetare Grenzen und Kipppunkte des Erdsystems | 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.
Katastrophenrisiko (Versicherung)
Stochastic Event Catalogue · Historical Event Catalogue · Event Footprint · Secondary Uncertainty · Loss Amplification · Financial Terms · Event Loss Table …
Netzwerke, Abhängigkeit und systemisches Risiko
Dependency Graph · Centrality · Critical Node · Cascading Failure · Contagion · Percolation · Interdependency …
Cyber, KI und Frontier-Technologien
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.
Nexus Reports
- Edition code
SR-14- Edition status
- geplant
- Gegenstand
- Set by Nexus Reports at commissioning
Zitieren und weiterverwenden
- 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.
Status
Methodik, Struktur und Definitionen des Global Risks Index sind ein vorbereitender Arbeitsentwurf (2026), der zur Prüfung und Stellungnahme und nicht zur Umsetzung verbreitet wird. Kein Wert erscheint, bevor eine Ausgabe aus einem geregelten Evidenzschnitt veröffentlicht ist; die Werte tragen dann Intervalle, Klassen, Quellen und ihren Korrekturweg. Die Simulatoren wenden die veröffentlichten Methoden auf Zahlen an, die Sie wählen, und zeigen niemals einen NXS-GRX-Wert.
Was NXS-GRX nicht ist
NXS-GRX ist eine Forschungs- und Risikoanalyseinformation. Es ist kein Kredit- oder ESG-Rating und verwendet keine Ratingskala, kein Referenzwert für Finanzinstrumente, keine amtliche Statistik, keine Notfallwarnung oder amtliche Einstufung und keine Beratung. Es darf nicht zur Bewertung natürlicher Personen verwendet werden. Risikoklassen sind Bänder auf einer veröffentlichten Skala, niemals Rangfolgen von Ländern oder Personen.
Institutionen und Quellen
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.
Jeder Wert trägt die Namensnennung seiner Quellen, die ihre eigenen Lizenzen behalten. Externe Namen werden nur zur Interoperabilität zitiert. Von Nexus verfasste Texte sollen bei Veröffentlichung unter CC BY 4.0 stehen.
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.