Technologies d’intervention climatique
Élimination du carbone et interventions climatiques proposées : risques physiques, de gouvernance et d’arrêt, d’après les seules évaluations publiées.
5
Climate physical hazard · Climate transition exposure · Environmental pressure · Governance weakness.
114
4 index domains
23
Planetary boundaries and Earth-system tipping · Frontier and exponential technology.
41
Climate, nature and biodiversity · Policy, regulation and governance.
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 interventions are being proposed and tested?
- What governance exists?
- What are the stated physical and termination risks?
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 Climate intervention technologies index is built
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Aléa climatique physiqueDomain index · IDX · CLI0–10 index of physical climate hazard combining chronic change, observed extremes and projected change (projection sub-index taken at SSP2-4.5, 2041–2060 by default, with other scenarios as alternative runs).
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Exposition à la transition climatiqueDomain index · IDX · CLI0–10 index of an economy’s exposure to a low-carbon transition, combining transition exposure (fossil rents, fuel exports, subsidies) and emissions intensity (per capita and per unit of GDP).
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Pression environnementaleDomain index · IDX · ENV0–10 index of environmental pressure and ecosystem condition combining air pollution, land and forest degradation, biodiversity status, ocean condition and waste pressure.
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Faiblesse de la gouvernanceDomain index · IDX · GOVWeighted aggregation, on 0 to 10, of governance quality, rule of law, policy and institutional quality and statistical capacity, each oriented by its own polarity so that higher values mean weaker governance.
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Risque de concentration technologiqueDomain index · IDX · TECIndex of technology dependence, critical-mineral dependence and, inverted, innovation capacity and biosecurity oversight, on a 0–10 scale, higher meaning riskier.
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Climate intervention technologies indexSeries index · SERIES · XT-18Élimination du carbone et interventions climatiques proposées : risques physiques, de gouvernance et d’arrêt, d’après les seules évaluations publiées.
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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 |
|---|---|---|---|---|---|---|---|
Aléa climatique physiqueNXS-GRX · CLI |
– | – | – | – | – | ||
Exposition à la transition climatiqueNXS-GRX · CLI |
– | – | – | – | – | ||
Pression environnementaleNXS-GRX · ENV |
– | – | – | – | – | ||
Faiblesse de la gouvernanceNXS-GRX · GOV |
– | – | – | – | – | ||
Risque de concentration technologiqueNXS-GRX · TEC |
– | – | – | – | – |
Domains read: Climate, Environment and biodiversity, Governance and institutions, Technology and frontier.
114 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 |
|---|---|---|---|---|---|---|
Score de l'indicateur composite LIC-DSF (publié, référence)IND.FIS.capacity.lic_dsf_composite_indicator |
FIS | Debt-carrying capacity | coping capacity | {score} |
COUNTRY | |
Exposition bancaire aux secteurs à forte intensité de carboneIND.FIN.climate_finance.carbon_intensive_exposure |
FIN | Climate-related financial exposure | exposure | % |
COUNTRY | |
Prêts bancaires exposés à un risque physique climatique élevéIND.FIN.climate_finance.physical_risk_lending |
FIN | Climate-related financial exposure | exposure | % |
COUNTRY | |
Rentes des ressources naturelles, part du PIBIND.ECO.concentration.natural_resource_rents.gdp |
ECO | Export and import concentration | vulnerability | % |
COUNTRY | WB_WDI NY.GDP.TOTL.RT.ZS |
Dépendance nette aux importations de minerais critiquesIND.ECO.concentration.critical_minerals_import_reliance |
ECO | Export and import concentration | vulnerability | % |
COUNTRY | |
Réchauffement en surface depuis l'ère préindustrielleIND.CLI.physical_chronic.warming_since_preindustrial |
CLI | Chronic physical change | hazard | K |
GLOBAL, REGION, COUNTRY, ADM1, GRID | FAO_FAOSTAT ET |
Évolution des précipitations annuellesIND.CLI.physical_chronic.precipitation_change |
CLI | Chronic physical change | hazard | % |
COUNTRY, ADM1, GRID | |
Taux d'élévation relative du niveau de la merIND.CLI.physical_chronic.relative_sea_level_trend |
CLI | Chronic physical change | hazard | mm/a |
COUNTRY, ADM1, CITY, SITE | UNDRR_HIPS_2025 EN0402 |
Jour le plus chaud de l'année (TXx)IND.CLI.physical_acute.txx |
CLI | Acute climate extremes | hazard | Cel |
COUNTRY, ADM1, CITY, GRID | |
Part des jours chauds (TX90p)IND.CLI.physical_acute.tx90p |
CLI | Acute climate extremes | hazard | % |
COUNTRY, ADM1, GRID | |
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 | |
Durée des périodes chaudes (WSDI)IND.CLI.physical_acute.warm_spell_duration |
CLI | Acute climate extremes | hazard | d/a |
COUNTRY, ADM1, GRID | |
Jour le plus pluvieux de l'année (Rx1day)IND.CLI.physical_acute.rx1day |
CLI | Acute climate extremes | hazard | mm |
COUNTRY, ADM1, CITY, GRID | |
Cinq jours les plus pluvieux de l'année (Rx5day)IND.CLI.physical_acute.rx5day |
CLI | Acute climate extremes | hazard | mm |
COUNTRY, ADM1, GRID | |
Précipitations des jours très pluvieux (R95pTOT)IND.CLI.physical_acute.very_wet_day_share |
CLI | Acute climate extremes | hazard | % |
COUNTRY, ADM1, GRID | |
Plus longue période sèche (CDD)IND.CLI.physical_acute.consecutive_dry_days |
CLI | Acute climate extremes | hazard | d |
COUNTRY, ADM1, GRID | |
Assets vulnerable to climate-related physical risks, shareIND.CLI.physical_acute.physical_risk_vulnerable_assets.share |
CLI | Acute climate extremes | exposure | % |
SITE, PORTFOLIO | IFRS_S2 29(c) |
Réchauffement projeté depuis l'ère préindustrielleIND.CLI.projection.projected_warming |
CLI | Scenario projections | hazard | K |
GLOBAL, REGION, COUNTRY, ADM1, GRID | |
Évolution projetée de la température du jour le plus chaudIND.CLI.projection.projected_txx_change |
CLI | Scenario projections | hazard | K |
COUNTRY, ADM1, GRID | |
Évolution projetée des précipitations des cinq jours les plus pluvieuxIND.CLI.projection.projected_rx5day_change |
CLI | Scenario projections | hazard | % |
COUNTRY, ADM1, GRID | |
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 |
Émissions totales de gaz à effet de serre hors UTCATFIND.CLI.emissions.ghg_total |
CLI | Emissions | exposure | Mt/a |
COUNTRY | WB_WDI EN.GHG.ALL.MT.CE.AR5 SDG 13.2.2 |
Émissions de gaz à effet de serre par habitantIND.CLI.emissions.ghg_per_capita |
CLI | Emissions | exposure | t/a/{person} |
COUNTRY | WB_WDI EN.GHG.ALL.PC.CE.AR5 EPI GHP |
Intensité carbone du PIBIND.CLI.emissions.carbon_intensity_gdp |
CLI | Emissions | exposure | kg/[USD] |
COUNTRY | WB_WDI EN.GHG.CO2.RT.GDP.KD SDG 9.4.1 |
Financed emissions of a portfolioIND.CLI.emissions.financed_emissions |
CLI | Emissions | exposure | Mt/a |
PORTFOLIO | IFRS_S2 29(a)(vi) |
Rentes des combustibles fossiles, part du PIBIND.CLI.transition.fossil_fuel_rents.gdp |
CLI | Transition exposure | exposure | % |
COUNTRY | WB_WDI NY.GDP.PETR.RT.ZS WB_WDI NY.GDP.NGAS.RT.ZS WB_WDI NY.GDP.COAL.RT.ZS |
Exportations de carburants, part des exportations de marchandisesIND.CLI.transition.fossil_fuel_exports.share |
CLI | Transition exposure | exposure | % |
COUNTRY | WB_WDI TX.VAL.FUEL.ZS.UN |
Subventions explicites aux combustibles fossiles, part du PIBIND.CLI.transition.fossil_fuel_subsidies.gdp |
CLI | Transition exposure | exposure | % |
COUNTRY | |
Assets vulnerable to climate-related transition risks, shareIND.CLI.transition.transition_risk_vulnerable_assets.share |
CLI | Transition exposure | exposure | % |
PORTFOLIO | IFRS_S2 29(b) |
Objectif d'émissions de la CDN 2030 pour l'ensemble de l'économieIND.CLI.transition.ndc_target_ambition |
CLI | Transition exposure | response | % |
COUNTRY | SDG 13.2.1 |
Plan national d'adaptation soumisIND.CLI.adaptation.nap_submitted |
CLI | Adaptation readiness | adaptive capacity | {bool} |
COUNTRY | SDG 13.2.1 |
Préparation économique à l'investissement dans l'adaptationIND.CLI.adaptation.economic_readiness |
CLI | Adaptation readiness | adaptive capacity | {score} |
COUNTRY | ND_GAIN economic |
Préparation de la gouvernance à l'adaptationIND.CLI.adaptation.governance_readiness |
CLI | Adaptation readiness | adaptive capacity | {score} |
COUNTRY | ND_GAIN governance |
Préparation sociale à l'adaptationIND.CLI.adaptation.social_readiness |
CLI | Adaptation readiness | adaptive capacity | {score} |
COUNTRY | ND_GAIN social |
Financement international de l'adaptation reçu par habitantIND.CLI.adaptation.adaptation_finance_received.pc |
CLI | Adaptation readiness | adaptive capacity | [USD] |
COUNTRY | |
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 |
Fréquence des sécheresses météorologiques sévèresIND.HAZ.drought.spei_drought_frequency |
HAZ | Sécheresse | hazard | % |
COUNTRY, ADM1, GRID | UNDRR_HIPS_2025 MH0401 INFORM HA.NAT.DR |
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 |
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 |
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 | |
Superficie terrestreIND.ENV.land.land_area |
ENV | Land and forests | context | km2 |
COUNTRY, ADM1, ADM2, CITY | WB_WDI AG.LND.TOTL.K2 |
Superficie forestière, part de la superficie terrestreIND.ENV.land.forest_cover.share |
ENV | Land and forests | vulnerability | % |
COUNTRY, ADM1 | SDG 15.1.1 WB_WDI AG.LND.FRST.ZS |
Taux annuel de perte du couvert arboréIND.ENV.land.tree_cover_loss.share |
ENV | Land and forests | hazard | % |
COUNTRY, ADM1, ADM2, GRID | EPI TCL |
Terres dégradées, part de la superficie terrestreIND.ENV.land.land_degradation.share |
ENV | Land and forests | hazard | % |
COUNTRY, ADM1, GRID | SDG 15.3.1 |
Densité routièreIND.ENV.land.road_density |
ENV | Land and forests | hazard | km/km2 |
COUNTRY, ADM1, ADM2, CITY, GRID | |
Indice de la Liste rougeIND.ENV.biodiversity.red_list_index |
ENV | Biodiversité | vulnerability | 1 |
GLOBAL, REGION, COUNTRY | SDG 15.5.1 |
Indice d'intégrité de la biodiversitéIND.ENV.biodiversity.biodiversity_intactness |
ENV | Biodiversité | vulnerability | 1 |
COUNTRY, ADM1, GRID | |
Aires protégées terrestres, part de la superficie terrestreIND.ENV.biodiversity.terrestrial_protected.share |
ENV | Biodiversité | response | % |
COUNTRY, ADM1 | WB_WDI ER.LND.PTLD.ZS |
Zones clés pour la biodiversité couvertes par des aires protégéesIND.ENV.biodiversity.key_biodiversity_area_protected.share |
ENV | Biodiversité | response | % |
COUNTRY, REGION | SDG 15.1.2 |
Aires marines protégées, part des eaux territorialesIND.ENV.ocean.marine_protected.share |
ENV | Ocean | response | % |
COUNTRY | WB_WDI ER.MRN.PTMR.ZS SDG 14.5.1 |
Indice d'eutrophisation côtièreIND.ENV.ocean.coastal_eutrophication |
ENV | Ocean | hazard | % |
COUNTRY, REGION | SDG 14.1.1 |
Acidité marine moyenne (pH)IND.ENV.ocean.ocean_acidity |
ENV | Ocean | hazard | [pH] |
COUNTRY, REGION, SITE | SDG 14.3.1 |
Stocks de poissons à des niveaux biologiquement durablesIND.ENV.ocean.sustainable_fish_stocks.share |
ENV | Ocean | vulnerability | % |
GLOBAL, REGION, COUNTRY | SDG 14.4.1 |
Jours de vague de chaleur marine par anIND.ENV.ocean.marine_heatwave_days |
ENV | Ocean | hazard | d/a |
COUNTRY, REGION, GRID | UNDRR_HIPS_2025 MH0708 |
Déchets solides municipaux produits par habitantIND.ENV.pollution.msw_generation.pc |
ENV | Pollution and waste | hazard | kg/a/{person} |
COUNTRY, CITY | |
Déchets solides municipaux gérés dans des installations contrôléesIND.ENV.pollution.msw_controlled_management.share |
ENV | Pollution and waste | coping capacity | % |
COUNTRY, CITY | SDG 11.6.1 EPI MSW |
Déchets plastiques mal gérés par habitantIND.ENV.pollution.mismanaged_plastic_waste.pc |
ENV | Pollution and waste | hazard | kg/a/{person} |
COUNTRY, ADM1 | |
PIB des secteurs fortement dépendants de la nature, partIND.ENV.nature_dependence.nature_dependent_gdp.share |
ENV | Nature dependence | exposure | % |
COUNTRY, PORTFOLIO | |
Valeur de la production agricole dépendante de la pollinisation animale, partIND.ENV.nature_dependence.pollinator_dependent_crops.share |
ENV | Nature dependence | exposure | % |
COUNTRY, ADM1 | |
Masses d'eau de bonne qualité ambianteIND.WAT.quality.good_ambient_water_quality.share |
WAT | Water quality | vulnerability | % |
COUNTRY, ADM1 | SDG 6.3.2 |
Eaux usées traitées en toute sécuritéIND.WAT.quality.wastewater_safely_treated.share |
WAT | Water quality | coping capacity | % |
COUNTRY, CITY | SDG 6.3.1 EPI WWT |
Taux de dépendance aux ressources en eau renouvelables extérieuresIND.WAT.dependence.external_water_dependency |
WAT | Transboundary dependence | exposure | % |
COUNTRY | |
Superficie des bassins transfrontaliers faisant l'objet d'une coopération opérationnelleIND.WAT.dependence.transboundary_cooperation.share |
WAT | Transboundary dependence | coping capacity | % |
COUNTRY | SDG 6.5.2 |
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 |
Valeur ajoutée de l'agriculture, de la sylviculture et de la pêche, part du PIBIND.FOO.agriculture.agri_value_added.gdp |
FOO | Agricultural production and dependence | vulnerability | % |
COUNTRY | WB_WDI NV.AGR.TOTL.ZS |
Emploi dans l'agriculture, part de l'emploi totalIND.FOO.agriculture.agri_employment_share |
FOO | Agricultural production and dependence | vulnerability | % |
COUNTRY | WB_WDI SL.AGR.EMPL.ZS |
Variabilité du rendement céréalier (15 ans)IND.FOO.agriculture.cereal_yield_variability |
FOO | Agricultural production and dependence | vulnerability | % |
COUNTRY | |
Terres cultivées, part de la superficie terrestreIND.FOO.agriculture.cropland.share |
FOO | Agricultural production and dependence | exposure | % |
COUNTRY, ADM1, ADM2, GRID | WB_WDI AG.LND.ARBL.ZS |
Indice de santé de la végétation sur les terres cultivéesIND.FOO.agriculture.vegetation_health_index |
FOO | Agricultural production and dependence | hazard | {score} |
COUNTRY, ADM1, ADM2, GRID | |
Sièges occupés par des femmes au parlement nationalIND.SOC.gender.women_in_parliament |
SOC | Gender | adaptive capacity | % |
COUNTRY | WB_WDI SG.GEN.PARL.ZS SDG 5.5.1 |
Voix et responsabilité (WGI)IND.GOV.quality.voice_accountability |
GOV | Governance quality | coping capacity | {score} |
COUNTRY | WB_WGI GOV_WGI_VA.SC WB_WGI GOV_WGI_VA.EST |
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 |
Efficacité des pouvoirs publics (WGI)IND.GOV.quality.government_effectiveness |
GOV | Governance quality | coping capacity | {score} |
COUNTRY | WB_WGI GOV_WGI_GE.SC WB_WGI GOV_WGI_GE.EST |
Maîtrise de la corruption (WGI)IND.GOV.quality.control_of_corruption |
GOV | Governance quality | coping capacity | {score} |
COUNTRY | WB_WGI GOV_WGI_CC.SC WB_WGI GOV_WGI_CC.EST |
Indice de perception de la corruption (Transparency International)IND.GOV.quality.corruption_perceptions |
GOV | Governance quality | coping capacity | {score} |
COUNTRY | |
Score de liberté de la presse (RSF)IND.GOV.quality.press_freedom |
GOV | Governance quality | coping capacity | {score} |
COUNTRY | |
État de droit (WGI)IND.GOV.rule_of_law.rule_of_law |
GOV | Rule of law | coping capacity | {score} |
COUNTRY | WB_WGI GOV_WGI_RL.SC WB_WGI GOV_WGI_RL.EST |
Droits de propriété et gouvernance fondée sur des règles (CPIA)IND.GOV.rule_of_law.property_rights |
GOV | Rule of law | coping capacity | {score} |
COUNTRY | WB_WDI IQ.CPA.PROP.XQ |
Détenus non condamnés, part de la population carcéraleIND.GOV.rule_of_law.unsentenced_detainees |
GOV | Rule of law | vulnerability | % |
COUNTRY | SDG 16.3.2 |
Incidence de la corruption parmi les entreprisesIND.GOV.rule_of_law.bribery_incidence_firms |
GOV | Rule of law | vulnerability | % |
COUNTRY | WB_WDI IC.FRM.BRIB.ZS SDG 16.5.2 |
Qualité de la réglementation (WGI)IND.GOV.policy.regulatory_quality |
GOV | Policy and institutional quality | coping capacity | {score} |
COUNTRY | WB_WGI GOV_WGI_RQ.SC WB_WGI GOV_WGI_RQ.EST |
Note globale CPIA (indice d'allocation des ressources de l'IDA)IND.GOV.policy.cpia_overall |
GOV | Policy and institutional quality | coping capacity | {score} |
COUNTRY | WB_WDI IQ.CPA.IRAI.XQ |
CPIA gestion du secteur public et institutionsIND.GOV.policy.cpia_public_sector_management |
GOV | Policy and institutional quality | coping capacity | {score} |
COUNTRY | WB_WDI IQ.CPA.PUBS.XQ |
CPIA transparence, responsabilité et corruption dans le secteur publicIND.GOV.policy.cpia_transparency |
GOV | Policy and institutional quality | coping capacity | {score} |
COUNTRY | WB_WDI IQ.CPA.TRAN.XQ |
Efficacité de la mobilisation des recettes (CPIA)IND.GOV.policy.tax_administration |
GOV | Policy and institutional quality | coping capacity | {score} |
COUNTRY | WB_WDI IQ.CPA.REVN.XQ |
Écart entre l'exécution budgétaire et le budget approuvéIND.GOV.policy.budget_execution_deviation |
GOV | Policy and institutional quality | vulnerability | % |
COUNTRY | SDG 16.6.1 |
Score global des indicateurs de performance statistiqueIND.GOV.statistics.spi_overall |
GOV | Statistical capacity | coping capacity | {score} |
COUNTRY | WB_WDI IQ.SPI.OVRL WB_WDI IQ.SCI.OVRL |
Exhaustivité de l'enregistrement des naissancesIND.GOV.statistics.birth_registration |
GOV | Statistical capacity | coping capacity | % |
COUNTRY | WB_WDI SP.REG.BRTH.ZS SDG 16.9.1 |
Années écoulées depuis le dernier recensement de la populationIND.GOV.statistics.years_since_census |
GOV | Statistical capacity | vulnerability | a |
COUNTRY | SDG 17.19.2 |
Score de l'environnement des affaires (B-READY)IND.GOV.business.bready_overall |
GOV | Business environment | coping capacity | {score} |
COUNTRY | |
Part des renouvelables dans la consommation finale totale d'énergieIND.ENE.mix.renewable_share_tfec |
ENE | Energy mix | adaptive capacity | % |
COUNTRY | SDG 7.2.1 WB_WDI EG.FEC.RNEW.ZS |
Intensité énergétique primaire du PIBIND.ENE.mix.energy_intensity |
ENE | Energy mix | vulnerability | MJ/[USD] |
COUNTRY | SDG 7.3.1 WB_WDI EG.EGY.PRIM.PP.KD |
Part fossile de la production d'électricitéIND.ENE.mix.fossil_electricity_share |
ENE | Energy mix | vulnerability | % |
COUNTRY | WB_WDI EG.ELC.FOSL.ZS |
Capacité de production renouvelable installée par habitantIND.ENE.mix.renewable_capacity.pc |
ENE | Energy mix | adaptive capacity | W/{person} |
COUNTRY | SDG 7.b.1 |
Degrés-jours de chauffage et de climatisationIND.ENE.reliability.thermal_demand_degree_days |
ENE | Reliability | hazard | K.d/a |
COUNTRY, ADM1, CITY, GRID | |
Concentration des fournisseurs de minerais critiques importésIND.ENE.minerals.critical_mineral_import_concentration |
ENE | Critical minerals | vulnerability | 1 |
COUNTRY | |
Pilier mesures juridiques du GCI de l'UITIND.CYB.capability.gci_legal |
CYB | Cyber capability | coping capacity | {score} |
COUNTRY | ITU_GCI Legal Measures |
Pilier mesures organisationnelles du GCI de l'UITIND.CYB.capability.gci_organizational |
CYB | Cyber capability | coping capacity | {score} |
COUNTRY | ITU_GCI Organizational Measures |
Législation sur la protection des données et de la vie privée en vigueurIND.CYB.capability.data_protection_law |
CYB | Cyber capability | coping capacity | {bool} |
COUNTRY | ITU_GCI Legal Measures |
Développement de l'administration en ligneIND.CYB.dependence.egovernment_development |
CYB | Digital dependence | exposure | {score} |
COUNTRY | |
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 | |
Stratégie nationale de réduction des risques de catastrophe (RRC) alignée sur le Cadre de Sendai pour la réduction des risques de catastropheIND.CRS.drr.national_drr_strategy |
CRS | DRR strategy | coping capacity | {score} |
COUNTRY | SENDAI E-1 SDG 1.5.3 SDG 11.b.1 SDG 13.1.2 |
Administrations locales dotées de stratégies de réduction des risques de catastrophe (RRC) alignées sur la stratégie nationaleIND.CRS.drr.local_drr_strategies |
CRS | DRR strategy | coping capacity | % |
COUNTRY, ADM1 | SENDAI E-2 SDG 1.5.4 SDG 11.b.2 SDG 13.1.3 |
Hazard families this series reads
families, each crosswalked to the UNDRR–ISC Hazard Information Profiles (2025) where a profile exists.
| Famille | Domaine | Aléas | Count |
|---|---|---|---|
| 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 |
| 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 |
How this risk can move to 2100
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.
Climat, nature et biodiversité
Climate Extremes · Chronic Climate Risk · Compound Climate Risk · Climate Scenario Ensemble · Climate Attribution Science · Land Cover Change · Deforestation …
Politiques, réglementation et gouvernance
Scenario Counterfactual · Regulatory Change Risk · Policy Uncertainty · Policy Effectiveness · Implementation Gap · Regulatory Exposure · Compliance Obligation Mapping …
Who uses it
Governments and national risk agencies
Prioritise prevention and preparedness. Plan with subnational layers. Track Sendai targets. Co-develop a national index.
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
XT-18- Edition status
- prévue
- Objet
- Set by Nexus Reports at commissioning
Citer et réutiliser
- Series key
grix:SER.XT-18:{ISO3}:{YEAR}:A- Domain keys
nis:IDX.CLI.physical_chronic.climate_physical_risk:{ISO3}:{YEAR}:Anis:IDX.CLI.transition.transition_risk:{ISO3}:{YEAR}:Anis:IDX.ENV.biodiversity.environmental_pressure:{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.