Tecnologías de intervención climática
Eliminación de carbono e intervenciones climáticas propuestas: riesgos físicos, de gobernanza y de interrupción, leídos solo a partir de evaluaciones publicadas.
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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Amenaza física climáticaDomain 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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Exposición a la transición climáticaDomain 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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Presión ambientalDomain 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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Debilidad de la gobernanzaDomain 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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Riesgo de concentración tecnológicaDomain 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-18Eliminación de carbono e intervenciones climáticas propuestas: riesgos físicos, de gobernanza y de interrupción, leídos solo a partir de evaluaciones publicadas.
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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
| Índice | Valor | Variación | Variación % | Intervalo del 90 % | Clase · probabilidad | Tendencia | Rango |
|---|---|---|---|---|---|---|---|
Amenaza física climáticaNXS-GRX · CLI |
– | – | – | – | – | ||
Exposición a la transición climáticaNXS-GRX · CLI |
– | – | – | – | – | ||
Presión ambientalNXS-GRX · ENV |
– | – | – | – | – | ||
Debilidad de la gobernanzaNXS-GRX · GOV |
– | – | – | – | – | ||
Riesgo de concentración tecnológicaNXS-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.
| Indicador | Dominio | Sub-domain | Componente | Unidad | Niveles | Crosswalks |
|---|---|---|---|---|---|---|
Puntuación del indicador compuesto del LIC-DSF (publicada, referencia)IND.FIS.capacity.lic_dsf_composite_indicator |
FIS | Debt-carrying capacity | coping capacity | {score} |
COUNTRY | |
Exposición bancaria a sectores intensivos en carbonoIND.FIN.climate_finance.carbon_intensive_exposure |
FIN | Climate-related financial exposure | exposure | % |
COUNTRY | |
Préstamos bancarios expuestos a un alto riesgo físico climáticoIND.FIN.climate_finance.physical_risk_lending |
FIN | Climate-related financial exposure | exposure | % |
COUNTRY | |
Rentas de los recursos naturales, porcentaje del PIBIND.ECO.concentration.natural_resource_rents.gdp |
ECO | Export and import concentration | vulnerability | % |
COUNTRY | WB_WDI NY.GDP.TOTL.RT.ZS |
Dependencia neta de las importaciones de minerales críticosIND.ECO.concentration.critical_minerals_import_reliance |
ECO | Export and import concentration | vulnerability | % |
COUNTRY | |
Calentamiento de la superficie desde la era preindustrialIND.CLI.physical_chronic.warming_since_preindustrial |
CLI | Chronic physical change | hazard | K |
GLOBAL, REGION, COUNTRY, ADM1, GRID | FAO_FAOSTAT ET |
Cambio en la precipitación anualIND.CLI.physical_chronic.precipitation_change |
CLI | Chronic physical change | hazard | % |
COUNTRY, ADM1, GRID | |
Tasa de aumento relativo del nivel del marIND.CLI.physical_chronic.relative_sea_level_trend |
CLI | Chronic physical change | hazard | mm/a |
COUNTRY, ADM1, CITY, SITE | UNDRR_HIPS_2025 EN0402 |
Día más caluroso del año (TXx)IND.CLI.physical_acute.txx |
CLI | Acute climate extremes | hazard | Cel |
COUNTRY, ADM1, CITY, GRID | |
Proporción de días cálidos (TX90p)IND.CLI.physical_acute.tx90p |
CLI | Acute climate extremes | hazard | % |
COUNTRY, ADM1, GRID | |
Cambio en los días muy calurosos (35 °C o más)IND.CLI.physical_acute.hot_days_change |
CLI | Acute climate extremes | hazard | d/a |
COUNTRY, ADM1, CITY, GRID | |
Duración de los periodos cálidos (WSDI)IND.CLI.physical_acute.warm_spell_duration |
CLI | Acute climate extremes | hazard | d/a |
COUNTRY, ADM1, GRID | |
Día más lluvioso del año (Rx1day)IND.CLI.physical_acute.rx1day |
CLI | Acute climate extremes | hazard | mm |
COUNTRY, ADM1, CITY, GRID | |
Cinco días más lluviosos del año (Rx5day)IND.CLI.physical_acute.rx5day |
CLI | Acute climate extremes | hazard | mm |
COUNTRY, ADM1, GRID | |
Precipitación de días muy lluviosos (R95pTOT)IND.CLI.physical_acute.very_wet_day_share |
CLI | Acute climate extremes | hazard | % |
COUNTRY, ADM1, GRID | |
Periodo seco más largo (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) |
Calentamiento proyectado desde la era preindustrialIND.CLI.projection.projected_warming |
CLI | Scenario projections | hazard | K |
GLOBAL, REGION, COUNTRY, ADM1, GRID | |
Cambio proyectado en la temperatura del día más calurosoIND.CLI.projection.projected_txx_change |
CLI | Scenario projections | hazard | K |
COUNTRY, ADM1, GRID | |
Cambio proyectado en la precipitación de los cinco días más lluviososIND.CLI.projection.projected_rx5day_change |
CLI | Scenario projections | hazard | % |
COUNTRY, ADM1, GRID | |
Aumento relativo proyectado del nivel del marIND.CLI.projection.projected_sea_level_rise |
CLI | Scenario projections | hazard | m |
COUNTRY, ADM1, CITY, SITE | |
Población por debajo del futuro nivel de inundación costera de 100 años, proporciónIND.CLI.projection.slr_coastal_population_exposed.share |
CLI | Scenario projections | exposure | % |
COUNTRY, ADM1, CITY | WB_WDI EN.POP.EL5M.ZS |
Emisiones totales de gases de efecto invernadero sin UTCUTSIND.CLI.emissions.ghg_total |
CLI | Emissions | exposure | Mt/a |
COUNTRY | WB_WDI EN.GHG.ALL.MT.CE.AR5 SDG 13.2.2 |
Emisiones de gases de efecto invernadero per cápitaIND.CLI.emissions.ghg_per_capita |
CLI | Emissions | exposure | t/a/{person} |
COUNTRY | WB_WDI EN.GHG.ALL.PC.CE.AR5 EPI GHP |
Intensidad de carbono del 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) |
Rentas de los combustibles fósiles, porcentaje del 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 |
Exportaciones de combustibles, porcentaje de las exportaciones de mercancíasIND.CLI.transition.fossil_fuel_exports.share |
CLI | Transition exposure | exposure | % |
COUNTRY | WB_WDI TX.VAL.FUEL.ZS.UN |
Subsidios explícitos a los combustibles fósiles, porcentaje del 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) |
Meta de emisiones de la CDN 2030 para toda la economíaIND.CLI.transition.ndc_target_ambition |
CLI | Transition exposure | response | % |
COUNTRY | SDG 13.2.1 |
Plan nacional de adaptación presentadoIND.CLI.adaptation.nap_submitted |
CLI | Adaptation readiness | adaptive capacity | {bool} |
COUNTRY | SDG 13.2.1 |
Preparación económica para la inversión en adaptaciónIND.CLI.adaptation.economic_readiness |
CLI | Adaptation readiness | adaptive capacity | {score} |
COUNTRY | ND_GAIN economic |
Preparación de la gobernanza para la adaptaciónIND.CLI.adaptation.governance_readiness |
CLI | Adaptation readiness | adaptive capacity | {score} |
COUNTRY | ND_GAIN governance |
Preparación social para la adaptaciónIND.CLI.adaptation.social_readiness |
CLI | Adaptation readiness | adaptive capacity | {score} |
COUNTRY | ND_GAIN social |
Financiación internacional para la adaptación recibida per cápitaIND.CLI.adaptation.adaptation_finance_received.pc |
CLI | Adaptation readiness | adaptive capacity | [USD] |
COUNTRY | |
Población por debajo de 5 m de altitud, proporciónIND.HAZ.coastal.low_elevation_population.share |
HAZ | Coastal and sea level | exposure | % |
COUNTRY, ADM1, CITY | WB_WDI EN.POP.EL5M.ZS |
Frecuencia de sequía meteorológica graveIND.HAZ.drought.spei_drought_frequency |
HAZ | Sequía | hazard | % |
COUNTRY, ADM1, GRID | UNDRR_HIPS_2025 MH0401 INFORM HA.NAT.DR |
Días de calor húmedo peligroso al añoIND.HAZ.heat.dangerous_heat_days |
HAZ | Extreme heat | hazard | d/a |
COUNTRY, ADM1, CITY, GRID | UNDRR_HIPS_2025 MH0501 |
Días con condiciones meteorológicas extremas de incendio al añoIND.HAZ.wildfire.extreme_fire_weather_days |
HAZ | Incendios forestales | hazard | d/a |
COUNTRY, ADM1, GRID | |
Superficie quemada anual, porcentaje de la superficie terrestreIND.HAZ.wildfire.burned_area.share |
HAZ | Incendios forestales | hazard | % |
COUNTRY, ADM1, GRID | UNDRR_HIPS_2025 EN0205 EMDAT nat-cli-wil-wil |
Exposición a PM2.5, media ponderada por poblaciónIND.ENV.air.pm25_exposure |
ENV | Calidad del aire | hazard | ug/m3 |
COUNTRY, ADM1, CITY, GRID | WB_WDI EN.ATM.PM25.MC.M3 SDG 11.6.2 EPI PMD |
Población expuesta por encima de la directriz de la OMS sobre PM2.5, proporciónIND.ENV.air.pm25_guideline_exceedance.share |
ENV | Calidad del aire | exposure | % |
COUNTRY, ADM1, CITY | WB_WDI EN.ATM.PM25.MC.ZS |
Exposición estacional máxima al ozonoIND.ENV.air.ozone_exposure |
ENV | Calidad del aire | 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 forestal, porcentaje 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 |
Tasa anual de pérdida de cubierta arbóreaIND.ENV.land.tree_cover_loss.share |
ENV | Land and forests | hazard | % |
COUNTRY, ADM1, ADM2, GRID | EPI TCL |
Tierras degradadas, porcentaje de la superficie terrestreIND.ENV.land.land_degradation.share |
ENV | Land and forests | hazard | % |
COUNTRY, ADM1, GRID | SDG 15.3.1 |
Densidad de carreterasIND.ENV.land.road_density |
ENV | Land and forests | hazard | km/km2 |
COUNTRY, ADM1, ADM2, CITY, GRID | |
Índice de la Lista RojaIND.ENV.biodiversity.red_list_index |
ENV | Biodiversidad | vulnerability | 1 |
GLOBAL, REGION, COUNTRY | SDG 15.5.1 |
Índice de integridad de la biodiversidadIND.ENV.biodiversity.biodiversity_intactness |
ENV | Biodiversidad | vulnerability | 1 |
COUNTRY, ADM1, GRID | |
Áreas protegidas terrestres, porcentaje de la superficie terrestreIND.ENV.biodiversity.terrestrial_protected.share |
ENV | Biodiversidad | response | % |
COUNTRY, ADM1 | WB_WDI ER.LND.PTLD.ZS |
Áreas clave para la biodiversidad cubiertas por áreas protegidasIND.ENV.biodiversity.key_biodiversity_area_protected.share |
ENV | Biodiversidad | response | % |
COUNTRY, REGION | SDG 15.1.2 |
Áreas marinas protegidas, porcentaje de las aguas territorialesIND.ENV.ocean.marine_protected.share |
ENV | Ocean | response | % |
COUNTRY | WB_WDI ER.MRN.PTMR.ZS SDG 14.5.1 |
Índice de eutrofización costeraIND.ENV.ocean.coastal_eutrophication |
ENV | Ocean | hazard | % |
COUNTRY, REGION | SDG 14.1.1 |
Acidez marina media (pH)IND.ENV.ocean.ocean_acidity |
ENV | Ocean | hazard | [pH] |
COUNTRY, REGION, SITE | SDG 14.3.1 |
Poblaciones de peces dentro de niveles biológicamente sosteniblesIND.ENV.ocean.sustainable_fish_stocks.share |
ENV | Ocean | vulnerability | % |
GLOBAL, REGION, COUNTRY | SDG 14.4.1 |
Días de ola de calor marina al añoIND.ENV.ocean.marine_heatwave_days |
ENV | Ocean | hazard | d/a |
COUNTRY, REGION, GRID | UNDRR_HIPS_2025 MH0708 |
Residuos sólidos municipales generados per cápitaIND.ENV.pollution.msw_generation.pc |
ENV | Pollution and waste | hazard | kg/a/{person} |
COUNTRY, CITY | |
Residuos sólidos municipales gestionados en instalaciones controladasIND.ENV.pollution.msw_controlled_management.share |
ENV | Pollution and waste | coping capacity | % |
COUNTRY, CITY | SDG 11.6.1 EPI MSW |
Residuos plásticos mal gestionados per cápitaIND.ENV.pollution.mismanaged_plastic_waste.pc |
ENV | Pollution and waste | hazard | kg/a/{person} |
COUNTRY, ADM1 | |
PIB en sectores muy dependientes de la naturaleza, proporciónIND.ENV.nature_dependence.nature_dependent_gdp.share |
ENV | Nature dependence | exposure | % |
COUNTRY, PORTFOLIO | |
Valor de la producción agrícola dependiente de la polinización animal, proporciónIND.ENV.nature_dependence.pollinator_dependent_crops.share |
ENV | Nature dependence | exposure | % |
COUNTRY, ADM1 | |
Masas de agua con buena calidad ambientalIND.WAT.quality.good_ambient_water_quality.share |
WAT | Water quality | vulnerability | % |
COUNTRY, ADM1 | SDG 6.3.2 |
Aguas residuales tratadas de forma seguraIND.WAT.quality.wastewater_safely_treated.share |
WAT | Water quality | coping capacity | % |
COUNTRY, CITY | SDG 6.3.1 EPI WWT |
Tasa de dependencia del agua renovable externaIND.WAT.dependence.external_water_dependency |
WAT | Transboundary dependence | exposure | % |
COUNTRY | |
Superficie de cuencas transfronterizas con cooperación operativaIND.WAT.dependence.transboundary_cooperation.share |
WAT | Transboundary dependence | coping capacity | % |
COUNTRY | SDG 6.5.2 |
Incidencia de la malariaIND.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 |
Valor añadido de la agricultura, la silvicultura y la pesca, porcentaje del PIBIND.FOO.agriculture.agri_value_added.gdp |
FOO | Agricultural production and dependence | vulnerability | % |
COUNTRY | WB_WDI NV.AGR.TOTL.ZS |
Empleo en la agricultura, porcentaje del empleo totalIND.FOO.agriculture.agri_employment_share |
FOO | Agricultural production and dependence | vulnerability | % |
COUNTRY | WB_WDI SL.AGR.EMPL.ZS |
Variabilidad del rendimiento de los cereales (15 años)IND.FOO.agriculture.cereal_yield_variability |
FOO | Agricultural production and dependence | vulnerability | % |
COUNTRY | |
Tierras de cultivo, porcentaje de la superficie terrestreIND.FOO.agriculture.cropland.share |
FOO | Agricultural production and dependence | exposure | % |
COUNTRY, ADM1, ADM2, GRID | WB_WDI AG.LND.ARBL.ZS |
Índice de Salud de la Vegetación en tierras de cultivoIND.FOO.agriculture.vegetation_health_index |
FOO | Agricultural production and dependence | hazard | {score} |
COUNTRY, ADM1, ADM2, GRID | |
Escaños ocupados por mujeres en el parlamento nacionalIND.SOC.gender.women_in_parliament |
SOC | Gender | adaptive capacity | % |
COUNTRY | WB_WDI SG.GEN.PARL.ZS SDG 5.5.1 |
Voz y rendición de cuentas (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 |
Estabilidad política y ausencia de violencia (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 |
Eficacia del gobierno (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 |
Control de la corrupción (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 |
Índice de Percepción de la Corrupción (Transparency International)IND.GOV.quality.corruption_perceptions |
GOV | Governance quality | coping capacity | {score} |
COUNTRY | |
Puntuación de libertad de prensa (RSF)IND.GOV.quality.press_freedom |
GOV | Governance quality | coping capacity | {score} |
COUNTRY | |
Estado de derecho (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 |
Derechos de propiedad y gobernanza basada en normas (CPIA)IND.GOV.rule_of_law.property_rights |
GOV | Rule of law | coping capacity | {score} |
COUNTRY | WB_WDI IQ.CPA.PROP.XQ |
Detenidos sin condena, porcentaje de la población penitenciariaIND.GOV.rule_of_law.unsentenced_detainees |
GOV | Rule of law | vulnerability | % |
COUNTRY | SDG 16.3.2 |
Incidencia del soborno entre las empresasIND.GOV.rule_of_law.bribery_incidence_firms |
GOV | Rule of law | vulnerability | % |
COUNTRY | WB_WDI IC.FRM.BRIB.ZS SDG 16.5.2 |
Calidad regulatoria (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 |
Calificación general de la CPIA (índice de asignación de recursos de la AIF)IND.GOV.policy.cpia_overall |
GOV | Policy and institutional quality | coping capacity | {score} |
COUNTRY | WB_WDI IQ.CPA.IRAI.XQ |
CPIA: gestión del sector público e institucionesIND.GOV.policy.cpia_public_sector_management |
GOV | Policy and institutional quality | coping capacity | {score} |
COUNTRY | WB_WDI IQ.CPA.PUBS.XQ |
CPIA: transparencia, rendición de cuentas y corrupción en el sector públicoIND.GOV.policy.cpia_transparency |
GOV | Policy and institutional quality | coping capacity | {score} |
COUNTRY | WB_WDI IQ.CPA.TRAN.XQ |
Eficiencia de la movilización de ingresos (CPIA)IND.GOV.policy.tax_administration |
GOV | Policy and institutional quality | coping capacity | {score} |
COUNTRY | WB_WDI IQ.CPA.REVN.XQ |
Desviación de la ejecución presupuestaria respecto del presupuesto aprobadoIND.GOV.policy.budget_execution_deviation |
GOV | Policy and institutional quality | vulnerability | % |
COUNTRY | SDG 16.6.1 |
Puntuación general de los Statistical Performance IndicatorsIND.GOV.statistics.spi_overall |
GOV | Statistical capacity | coping capacity | {score} |
COUNTRY | WB_WDI IQ.SPI.OVRL WB_WDI IQ.SCI.OVRL |
Exhaustividad del registro de nacimientosIND.GOV.statistics.birth_registration |
GOV | Statistical capacity | coping capacity | % |
COUNTRY | WB_WDI SP.REG.BRTH.ZS SDG 16.9.1 |
Años desde el último censo de poblaciónIND.GOV.statistics.years_since_census |
GOV | Statistical capacity | vulnerability | a |
COUNTRY | SDG 17.19.2 |
Puntuación del entorno empresarial (B-READY)IND.GOV.business.bready_overall |
GOV | Business environment | coping capacity | {score} |
COUNTRY | |
Proporción renovable del consumo total de energía finalIND.ENE.mix.renewable_share_tfec |
ENE | Energy mix | adaptive capacity | % |
COUNTRY | SDG 7.2.1 WB_WDI EG.FEC.RNEW.ZS |
Intensidad de energía primaria del PIBIND.ENE.mix.energy_intensity |
ENE | Energy mix | vulnerability | MJ/[USD] |
COUNTRY | SDG 7.3.1 WB_WDI EG.EGY.PRIM.PP.KD |
Proporción fósil de la generación eléctricaIND.ENE.mix.fossil_electricity_share |
ENE | Energy mix | vulnerability | % |
COUNTRY | WB_WDI EG.ELC.FOSL.ZS |
Capacidad instalada de generación renovable per cápitaIND.ENE.mix.renewable_capacity.pc |
ENE | Energy mix | adaptive capacity | W/{person} |
COUNTRY | SDG 7.b.1 |
Grados-día de calefacción y refrigeraciónIND.ENE.reliability.thermal_demand_degree_days |
ENE | Reliability | hazard | K.d/a |
COUNTRY, ADM1, CITY, GRID | |
Concentración de proveedores de importaciones de minerales críticosIND.ENE.minerals.critical_mineral_import_concentration |
ENE | Critical minerals | vulnerability | 1 |
COUNTRY | |
Pilar de medidas jurídicas del GCI de la UITIND.CYB.capability.gci_legal |
CYB | Cyber capability | coping capacity | {score} |
COUNTRY | ITU_GCI Legal Measures |
Pilar de medidas organizativas del GCI de la UITIND.CYB.capability.gci_organizational |
CYB | Cyber capability | coping capacity | {score} |
COUNTRY | ITU_GCI Organizational Measures |
Legislación vigente de protección de datos y privacidadIND.CYB.capability.data_protection_law |
CYB | Cyber capability | coping capacity | {bool} |
COUNTRY | ITU_GCI Legal Measures |
Desarrollo del gobierno electrónicoIND.CYB.dependence.egovernment_development |
CYB | Digital dependence | exposure | {score} |
COUNTRY | |
Gasto interno bruto en I+D, porcentaje del PIBIND.TEC.capability.rd_expenditure.gdp |
TEC | Technology capability | adaptive capacity | % |
COUNTRY | SDG 9.5.1 WB_WDI GB.XPD.RSDV.GD.ZS |
Investigadores por millón de habitantesIND.TEC.capability.researchers_per_million |
TEC | Technology capability | adaptive capacity | /10*6 |
COUNTRY | SDG 9.5.2 WB_WDI SP.POP.SCIE.RD.P6 |
Exportaciones de alta tecnología, porcentaje de las exportaciones de manufacturasIND.TEC.capability.high_tech_exports |
TEC | Technology capability | adaptive capacity | % |
COUNTRY | WB_WDI TX.VAL.TECH.MF.ZS SDG 9.b.1 |
Concentración de proveedores de importaciones de semiconductoresIND.TEC.concentration.semiconductor_import_concentration |
TEC | Concentration and dependence | vulnerability | 1 |
COUNTRY | |
Concentración de proveedores de infraestructura en la nubeIND.TEC.concentration.cloud_provider_concentration |
TEC | Concentration and dependence | vulnerability | 1 |
COUNTRY | |
Capacidad de cómputo de IA bajo control extranjero o de un único proveedorIND.TEC.ai.ai_compute_foreign_control |
TEC | Inteligencia artificial | vulnerability | % |
COUNTRY | |
Concentración de proveedores de modelos fundacionalesIND.TEC.ai.foundation_model_concentration |
TEC | Inteligencia artificial | vulnerability | % |
COUNTRY | |
Supervisión de la bioseguridad y la bioprotección de los laboratorios de alta contenciónIND.TEC.bio.biosecurity_lab_oversight |
TEC | Biotecnología | coping capacity | {score} |
COUNTRY | |
Estrategia nacional de RRD alineada con el Marco de Sendai para la Reducción del Riesgo de DesastresIND.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 |
Gobiernos locales con estrategias de RRD alineadas con la estrategia nacionalIND.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.
| Familia | Dominio | Amenazas | Count |
|---|---|---|---|
| Planetary boundary transgressions | Límites planetarios y puntos de inflexión del sistema Tierra | 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 | Límites planetarios y puntos de inflexión del sistema Tierra | 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 | Límites planetarios y puntos de inflexión del sistema Tierra | 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 | Límites planetarios y puntos de inflexión del sistema Tierra | Amazon rainforest dieback, Boreal forest southern dieback, Boreal forest northern advance, Tropical forest carbon-sink reversal, Sahel vegetation regime shift | 5 |
| Carbon-cycle feedbacks | Límites planetarios y puntos de inflexión del sistema Tierra | 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 | Límites planetarios y puntos de inflexión del sistema Tierra | 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 | Límites planetarios y puntos de inflexión del sistema Tierra | 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 | Tecnologías de frontera y exponenciales | 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 | Tecnologías de frontera y exponenciales | 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 | Tecnologías de frontera y exponenciales | 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 | Tecnologías de frontera y exponenciales | 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 | Tecnologías de frontera y exponenciales | 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 | Tecnologías de frontera y exponenciales | 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 |
| Biotecnología y biología sintética | Tecnologías de frontera y exponenciales | 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 | Tecnologías de frontera y exponenciales | 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 | Tecnologías de frontera y exponenciales | 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 | Tecnologías de frontera y exponenciales | Cryptographically relevant quantum computer, Harvest-now, decrypt-later collection, Post-quantum migration failure, Quantum sensing erosion of strategic concealment | 4 |
| Tecnologías de intervención climática | Tecnologías de frontera y exponenciales | 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 | Tecnologías de frontera y exponenciales | 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 | Tecnologías de frontera y exponenciales | Critical open-source dependency failure, Advanced semiconductor fabrication concentration, Digital identity and trust service failure | 3 |
| Advanced and distributed manufacturing | Tecnologías de frontera y exponenciales | 3D-printed and untraceable firearms, Distributed production of weapon components, Additively manufactured critical part failure | 3 |
| Energy-transition technology failures | Tecnologías de frontera y exponenciales | 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 | Tecnologías de frontera y exponenciales | 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.
Clima, naturaleza y biodiversidad
Climate Extremes · Chronic Climate Risk · Compound Climate Risk · Climate Scenario Ensemble · Climate Attribution Science · Land Cover Change · Deforestation …
Políticas, regulación y gobernanza
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.
Nexus Reports
- Edition code
XT-18- Edition status
- prevista
- Asunto
- Set by Nexus Reports at commissioning
Citar y reutilizar
- 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.
Estado
La metodología, la estructura y las definiciones de The Global Risks Index son un borrador de trabajo preparatorio (2026), difundido para examen y comentarios y no para su aplicación. Ningún valor aparece hasta que se publica una edición a partir de un corte de evidencia gobernado; los valores incluyen entonces intervalos, clases, fuentes y su vía de corrección. Los simuladores aplican los métodos publicados a las cifras que usted elija y nunca muestran un valor del NXS-GRX.
Lo que NXS-GRX no es
NXS-GRX es información de investigación y analítica de riesgos. No es una calificación crediticia ni ESG y no usa ninguna escala de calificación; no es un índice de referencia para instrumentos financieros, ni estadística oficial, ni una alerta de emergencia o clasificación oficial, ni asesoramiento. No debe usarse para evaluar a personas físicas. Las clases de riesgo son bandas en una escala publicada, nunca clasificaciones de países ni de personas.
Instituciones y fuentes
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.
Cada valor lleva la atribución de sus fuentes, que conservan sus propias licencias. Los nombres externos se citan únicamente a efectos de interoperabilidad. Los textos de autoría de Nexus están destinados a publicarse bajo 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.