The Global Risks Index
NXS-GRX · SR-09 · Strategic systems series

Planetary boundaries

Earth-system boundaries and tipping elements as slow-onset, high-impact risk.

Page GRX-SER-SR-09Edition Baseline Edition 2026Evidence close 2026-09-30Subject Nexus ReportsNexus Reports SR-09 (planned)Values not yet publishedSnapshot 31a753f76
FIG 1 · Series at a glance
Domain indices

5

Climate physical hazard · Climate transition exposure · Environmental pressure · Water security risk

Indicators

114

4 index domains

Hazard families

16

Planetary boundaries and Earth-system tipping · Land and ecosystems · Ice and snow

Methods

61

Climate, nature and biodiversity · Hazard science

Counts from the indicator, hazard and model registries.
5
domain indices
114
indicators in scope
3
hazard domains
4
client groups
01Scope

Scope and questions

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

  1. Which boundaries are transgressed and how far?
  2. Which tipping elements matter most for which countries?
  3. How do boundary transgressions translate into country risk?
02Construction

Domain indices to the series index

The series index is the expert-weighted geometric mean of its domain indices, with the intervals and class rule of the methodology.

computation
How the Planetary boundaries index is built
Graph9 nodes
Graph
01Domain indices
02Series index
03Readings
100%
List
  1. Climate physical hazard
    Domain index · IDX · CLI
    0-10 index of physical climate hazard combining chronic change, observed extremes and projected change (projection sub-index taken at SSP2-4.5, 2041-2060 by default, with other scenarios as alternative runs).
  2. Climate transition exposure
    Domain index · IDX · CLI
    0-10 index of an economy's exposure to a low-carbon transition, combining transition exposure (fossil rents, fuel exports, subsidies) and emissions intensity (per capita and per unit of GDP).
  3. Environmental pressure
    Domain index · IDX · ENV
    0-10 index of environmental pressure and ecosystem condition combining air pollution, land and forest degradation, biodiversity status, ocean condition and waste pressure.
  4. Water security risk
    Domain index · IDX · WAT
    0-10 index of water security risk combining scarcity and stress, WASH access, water quality and transboundary dependence; geometric so that good access does not offset severe scarcity.
  5. Food insecurity risk
    Domain index · IDX · FOO
    Weighted aggregation, on 0 to 10, of acute and chronic food insecurity, food price stress, supply fragility and agricultural dependence.
  6. Planetary boundaries index
    Series index · SERIES · SR-09
    Earth-system boundaries and tipping elements as slow-onset, high-impact risk.
  7. Country readings
    Output · OUTPUT · 195 profiles
    Published with intervals and classes when the edition is released.
  8. Regional readings
    Output · OUTPUT · 5 regions
    Published with intervals and classes when the edition is released.
  9. Global reading
    Output · OUTPUT · population or exposure weighted
    Published with intervals and classes when the edition is released.
Not runIn progressDone
FIG 2. Select a domain index to open its full construction; Simulate run plays the computation.
03Indices

Domain indices in this series

NXS-GRX · SR-09 · 195 profiles · 0–10 scale
Planetary boundaries index, world
—
Values publish with the edition; the interval, class and change appear here.
IndexValueChangeChange %90% intervalClass · probabilityTrendRange
Climate physical hazardNXS-GRX · CLI—————
Climate transition exposureNXS-GRX · CLI—————
Environmental pressureNXS-GRX · ENV—————
Water security riskNXS-GRX · WAT—————
Food insecurity riskNXS-GRX · FOO—————

Domains read: Environment and biodiversity, Climate, Water, Food systems.

04Indicators

114 indicators in scope

Every indicator whose primary or secondary domain is in scope, with unit, levels and crosswalks to source code lists.

FIG 3 · Indicators in scope, by domain and sub-domain
CLI · 31FOO · 23ENV · 22WAT · 13
Area is the number of indicator definitions; colour is the pillar the domain feeds (Macroeconomy and Space feed through their indices). Select a block to filter the table.
IndicatorDomainSub-domainComponentUnitLevelsCrosswalks
Food price inflationIND.MAC.prices.food_inflationMACPrices and inflationvulnerability%COUNTRYFAO_FAOSTAT CP
Bank exposure to carbon-intensive sectorsIND.FIN.climate_finance.carbon_intensive_exposureFINClimate-related financial exposureexposure%COUNTRY
Bank lending exposed to high physical climate riskIND.FIN.climate_finance.physical_risk_lendingFINClimate-related financial exposureexposure%COUNTRY
Natural-resource rents, share of GDPIND.ECO.concentration.natural_resource_rents.gdpECOExport and import concentrationvulnerability%COUNTRYWB_WDI NY.GDP.TOTL.RT.ZS
Food imports, share of merchandise importsIND.ECO.concentration.food_import_shareECOExport and import concentrationvulnerability%COUNTRYWB_WDI TM.VAL.FOOD.ZS.UN
Surface warming since pre-industrialIND.CLI.physical_chronic.warming_since_preindustrialCLIChronic physical changehazardKGLOBAL, REGION, COUNTRY, ADM1, GRIDFAO_FAOSTAT ET
Change in annual precipitationIND.CLI.physical_chronic.precipitation_changeCLIChronic physical changehazard%COUNTRY, ADM1, GRID
Relative sea-level rise rateIND.CLI.physical_chronic.relative_sea_level_trendCLIChronic physical changehazardmm/aCOUNTRY, ADM1, CITY, SITEUNDRR_HIPS_2025 EN0402
Hottest day of the year (TXx)IND.CLI.physical_acute.txxCLIAcute climate extremeshazardCelCOUNTRY, ADM1, CITY, GRID
Share of warm days (TX90p)IND.CLI.physical_acute.tx90pCLIAcute climate extremeshazard%COUNTRY, ADM1, GRID
Change in very hot days (35 °C or more)IND.CLI.physical_acute.hot_days_changeCLIAcute climate extremeshazardd/aCOUNTRY, ADM1, CITY, GRID
Warm spell duration (WSDI)IND.CLI.physical_acute.warm_spell_durationCLIAcute climate extremeshazardd/aCOUNTRY, ADM1, GRID
Wettest day of the year (Rx1day)IND.CLI.physical_acute.rx1dayCLIAcute climate extremeshazardmmCOUNTRY, ADM1, CITY, GRID
Wettest five days of the year (Rx5day)IND.CLI.physical_acute.rx5dayCLIAcute climate extremeshazardmmCOUNTRY, ADM1, GRID
Precipitation from very wet days (R95pTOT)IND.CLI.physical_acute.very_wet_day_shareCLIAcute climate extremeshazard%COUNTRY, ADM1, GRID
Longest dry spell (CDD)IND.CLI.physical_acute.consecutive_dry_daysCLIAcute climate extremeshazarddCOUNTRY, ADM1, GRID
Assets vulnerable to climate-related physical risks, shareIND.CLI.physical_acute.physical_risk_vulnerable_assets.shareCLIAcute climate extremesexposure%SITE, PORTFOLIOIFRS_S2 29(c)
Projected warming since pre-industrialIND.CLI.projection.projected_warmingCLIScenario projectionshazardKGLOBAL, REGION, COUNTRY, ADM1, GRID
Projected change in hottest-day temperatureIND.CLI.projection.projected_txx_changeCLIScenario projectionshazardKCOUNTRY, ADM1, GRID
Projected change in wettest five-day precipitationIND.CLI.projection.projected_rx5day_changeCLIScenario projectionshazard%COUNTRY, ADM1, GRID
Projected relative sea-level riseIND.CLI.projection.projected_sea_level_riseCLIScenario projectionshazardmCOUNTRY, ADM1, CITY, SITE
Population below the future 100-year coastal flood level, shareIND.CLI.projection.slr_coastal_population_exposed.shareCLIScenario projectionsexposure%COUNTRY, ADM1, CITYWB_WDI EN.POP.EL5M.ZS
Total greenhouse gas emissions excluding LULUCFIND.CLI.emissions.ghg_totalCLIEmissionsexposureMt/aCOUNTRYWB_WDI EN.GHG.ALL.MT.CE.AR5 SDG 13.2.2
Greenhouse gas emissions per capitaIND.CLI.emissions.ghg_per_capitaCLIEmissionsexposuret/a/{person}COUNTRYWB_WDI EN.GHG.ALL.PC.CE.AR5 EPI GHP
Carbon intensity of GDPIND.CLI.emissions.carbon_intensity_gdpCLIEmissionsexposurekg/[USD]COUNTRYWB_WDI EN.GHG.CO2.RT.GDP.KD SDG 9.4.1
Financed emissions of a portfolioIND.CLI.emissions.financed_emissionsCLIEmissionsexposureMt/aPORTFOLIOIFRS_S2 29(a)(vi)
Fossil-fuel rents, share of GDPIND.CLI.transition.fossil_fuel_rents.gdpCLITransition exposureexposure%COUNTRYWB_WDI NY.GDP.PETR.RT.ZS WB_WDI NY.GDP.NGAS.RT.ZS WB_WDI NY.GDP.COAL.RT.ZS
Fuel exports, share of merchandise exportsIND.CLI.transition.fossil_fuel_exports.shareCLITransition exposureexposure%COUNTRYWB_WDI TX.VAL.FUEL.ZS.UN
Explicit fossil-fuel subsidies, share of GDPIND.CLI.transition.fossil_fuel_subsidies.gdpCLITransition exposureexposure%COUNTRY
Assets vulnerable to climate-related transition risks, shareIND.CLI.transition.transition_risk_vulnerable_assets.shareCLITransition exposureexposure%PORTFOLIOIFRS_S2 29(b)
NDC 2030 economy-wide emissions targetIND.CLI.transition.ndc_target_ambitionCLITransition exposureresponse%COUNTRYSDG 13.2.1
National adaptation plan submittedIND.CLI.adaptation.nap_submittedCLIAdaptation readinessadaptive capacity{bool}COUNTRYSDG 13.2.1
Economic readiness for adaptation investmentIND.CLI.adaptation.economic_readinessCLIAdaptation readinessadaptive capacity{score}COUNTRYND_GAIN economic
Governance readiness for adaptationIND.CLI.adaptation.governance_readinessCLIAdaptation readinessadaptive capacity{score}COUNTRYND_GAIN governance
Social readiness for adaptationIND.CLI.adaptation.social_readinessCLIAdaptation readinessadaptive capacity{score}COUNTRYND_GAIN social
International adaptation finance received per capitaIND.CLI.adaptation.adaptation_finance_received.pcCLIAdaptation readinessadaptive capacity[USD]COUNTRY
Population below 5 m elevation, shareIND.HAZ.coastal.low_elevation_population.shareHAZCoastal and sea levelexposure%COUNTRY, ADM1, CITYWB_WDI EN.POP.EL5M.ZS
Frequency of severe meteorological droughtIND.HAZ.drought.spei_drought_frequencyHAZDroughthazard%COUNTRY, ADM1, GRIDUNDRR_HIPS_2025 MH0401 INFORM HA.NAT.DR
Frequency of agricultural drought stressIND.HAZ.drought.agricultural_stress_frequencyHAZDroughthazard%COUNTRY, ADM1, GRIDINFORM ASI
Days of dangerous humid heat per yearIND.HAZ.heat.dangerous_heat_daysHAZExtreme heathazardd/aCOUNTRY, ADM1, CITY, GRIDUNDRR_HIPS_2025 MH0501
Extreme fire-weather days per yearIND.HAZ.wildfire.extreme_fire_weather_daysHAZWildfirehazardd/aCOUNTRY, ADM1, GRID
Annual burned area, share of land areaIND.HAZ.wildfire.burned_area.shareHAZWildfirehazard%COUNTRY, ADM1, GRIDUNDRR_HIPS_2025 EN0205 EMDAT nat-cli-wil-wil
PM2.5 exposure, population-weighted meanIND.ENV.air.pm25_exposureENVAir qualityhazardug/m3COUNTRY, ADM1, CITY, GRIDWB_WDI EN.ATM.PM25.MC.M3 SDG 11.6.2 EPI PMD
Population exposed above the WHO PM2.5 guideline, shareIND.ENV.air.pm25_guideline_exceedance.shareENVAir qualityexposure%COUNTRY, ADM1, CITYWB_WDI EN.ATM.PM25.MC.ZS
Seasonal peak ozone exposureIND.ENV.air.ozone_exposureENVAir qualityhazard[ppb]COUNTRY, ADM1, CITY, GRID
Land areaIND.ENV.land.land_areaENVLand and forestscontextkm2COUNTRY, ADM1, ADM2, CITYWB_WDI AG.LND.TOTL.K2
Forest area, share of land areaIND.ENV.land.forest_cover.shareENVLand and forestsvulnerability%COUNTRY, ADM1SDG 15.1.1 WB_WDI AG.LND.FRST.ZS
Annual tree cover loss rateIND.ENV.land.tree_cover_loss.shareENVLand and forestshazard%COUNTRY, ADM1, ADM2, GRIDEPI TCL
Degraded land, share of land areaIND.ENV.land.land_degradation.shareENVLand and forestshazard%COUNTRY, ADM1, GRIDSDG 15.3.1
Road densityIND.ENV.land.road_densityENVLand and forestshazardkm/km2COUNTRY, ADM1, ADM2, CITY, GRID
Red List IndexIND.ENV.biodiversity.red_list_indexENVBiodiversityvulnerability1GLOBAL, REGION, COUNTRYSDG 15.5.1
Biodiversity Intactness IndexIND.ENV.biodiversity.biodiversity_intactnessENVBiodiversityvulnerability1COUNTRY, ADM1, GRID
Terrestrial protected areas, share of land areaIND.ENV.biodiversity.terrestrial_protected.shareENVBiodiversityresponse%COUNTRY, ADM1WB_WDI ER.LND.PTLD.ZS
Key biodiversity areas covered by protected areasIND.ENV.biodiversity.key_biodiversity_area_protected.shareENVBiodiversityresponse%COUNTRY, REGIONSDG 15.1.2
Marine protected areas, share of territorial watersIND.ENV.ocean.marine_protected.shareENVOceanresponse%COUNTRYWB_WDI ER.MRN.PTMR.ZS SDG 14.5.1
Coastal eutrophication indexIND.ENV.ocean.coastal_eutrophicationENVOceanhazard%COUNTRY, REGIONSDG 14.1.1
Average marine acidity (pH)IND.ENV.ocean.ocean_acidityENVOceanhazard[pH]COUNTRY, REGION, SITESDG 14.3.1
Fish stocks within biologically sustainable levelsIND.ENV.ocean.sustainable_fish_stocks.shareENVOceanvulnerability%GLOBAL, REGION, COUNTRYSDG 14.4.1
Marine heatwave days per yearIND.ENV.ocean.marine_heatwave_daysENVOceanhazardd/aCOUNTRY, REGION, GRIDUNDRR_HIPS_2025 MH0708
Municipal solid waste generated per capitaIND.ENV.pollution.msw_generation.pcENVPollution and wastehazardkg/a/{person}COUNTRY, CITY
Municipal solid waste managed in controlled facilitiesIND.ENV.pollution.msw_controlled_management.shareENVPollution and wastecoping capacity%COUNTRY, CITYSDG 11.6.1 EPI MSW
Mismanaged plastic waste per capitaIND.ENV.pollution.mismanaged_plastic_waste.pcENVPollution and wastehazardkg/a/{person}COUNTRY, ADM1
GDP in sectors highly dependent on nature, shareIND.ENV.nature_dependence.nature_dependent_gdp.shareENVNature dependenceexposure%COUNTRY, PORTFOLIO
Crop production value dependent on animal pollination, shareIND.ENV.nature_dependence.pollinator_dependent_crops.shareENVNature dependenceexposure%COUNTRY, ADM1
Level of water stressIND.WAT.stress.water_stressWATWater stresshazard%COUNTRY, ADM1SDG 6.4.2 WB_WDI ER.H2O.FWST.ZS
Baseline water stress score (sub-basin)IND.WAT.stress.baseline_water_stressWATWater stresshazard{score}COUNTRY, ADM1, CITY, GRID, SITE, PORTFOLIO
Total renewable freshwater resources per capitaIND.WAT.stress.renewable_water.pcWATWater stresshazardm3/a/{person}COUNTRYWB_WDI ER.H2O.INTR.PC
Groundwater storage declineIND.WAT.stress.groundwater_depletionWATWater stresshazardmm/aCOUNTRY, ADM1, GRID
Water-use efficiencyIND.WAT.stress.water_use_efficiencyWATWater stressadaptive capacity[USD]/m3COUNTRYSDG 6.4.1 WB_WDI ER.GDP.FWTL.M3.KD
Population using safely managed drinking waterIND.WAT.access.safely_managed_drinking_water.shareWATDrinking water and sanitationvulnerability%COUNTRY, ADM1, CITYSDG 6.1.1 WB_WDI SH.H2O.SMDW.ZS EPI UWD
Population using at least basic drinking waterIND.WAT.access.basic_drinking_water.shareWATDrinking water and sanitationvulnerability%COUNTRY, ADM1WB_WDI SH.H2O.BASW.ZS
Population using safely managed sanitationIND.WAT.access.safely_managed_sanitation.shareWATDrinking water and sanitationvulnerability%COUNTRY, ADM1, CITYWB_WDI SH.STA.SMSS.ZS SDG 6.2.1 EPI USD
Population with basic hand-washing facilitiesIND.WAT.access.basic_handwashing.shareWATDrinking water and sanitationvulnerability%COUNTRY, ADM1WB_WDI SH.STA.HYGN.ZS SDG 6.2.1
Water bodies with good ambient water qualityIND.WAT.quality.good_ambient_water_quality.shareWATWater qualityvulnerability%COUNTRY, ADM1SDG 6.3.2
Wastewater flows safely treatedIND.WAT.quality.wastewater_safely_treated.shareWATWater qualitycoping capacity%COUNTRY, CITYSDG 6.3.1 EPI WWT
Dependency ratio on external renewable waterIND.WAT.dependence.external_water_dependencyWATTransboundary dependenceexposure%COUNTRY
Transboundary basin area with operational cooperationIND.WAT.dependence.transboundary_cooperation.shareWATTransboundary dependencecoping capacity%COUNTRYSDG 6.5.2
Malaria incidenceIND.HLT.burden.malaria_incidenceHLTDisease burden and mortalityhazard/10*3COUNTRYWB_WDI SH.MLR.INCD.P3 SDG 3.3.3 WHO_GHO SDGMALARIA
Reported cholera cases, per 100,000 populationIND.HLT.epidemic.cholera_cases.p100kHLTEpidemic and outbreakhazard/10*5COUNTRYWHO_GHO CHOLERA_0000000001
Stunting among children under fiveIND.HLT.nutrition.stuntingHLTNutritionvulnerability%COUNTRYWB_WDI SH.STA.STNT.ME.ZS SDG 2.2.1 WHO_GHO NUTSTUNTINGPREV FAO_FAOSTAT 21025
Wasting among children under fiveIND.HLT.nutrition.wastingHLTNutritionvulnerability%COUNTRY, ADM1WB_WDI SH.STA.WAST.ZS SDG 2.2.2 WHO_GHO NUTRITION_WH_2 FAO_FAOSTAT 21026
Anaemia among women of reproductive ageIND.HLT.nutrition.anaemia_womenHLTNutritionvulnerability%COUNTRYWB_WDI SH.ANM.ALLW.ZS WHO_GHO NUTRITION_ANAEMIA_REPRODUCTIVEAGE_PREV SDG 2.2.3 FAO_FAOSTAT 21043
Prevalence of undernourishmentIND.FOO.availability.undernourishmentFOOAvailabilityvulnerability%COUNTRYFAO_FAOSTAT 210041 SDG 2.1.1 WB_WDI SN.ITK.DEFC.ZS
Number of people undernourishedIND.FOO.availability.people_undernourishedFOOAvailabilityvulnerability{persons}COUNTRYFAO_FAOSTAT 210011
Average dietary energy supply adequacyIND.FOO.availability.dietary_energy_adequacyFOOAvailabilityvulnerability%COUNTRYFAO_FAOSTAT 21010
Per capita food supply variabilityIND.FOO.availability.food_supply_variabilityFOOAvailabilityvulnerabilitykcal/d/{person}COUNTRYFAO_FAOSTAT 21031
Cereal import dependency ratioIND.FOO.availability.cereal_import_dependencyFOOAvailabilityvulnerability%COUNTRYFAO_FAOSTAT 21035
Moderate or severe food insecurity (FIES)IND.FOO.access.fies_moderate_severeFOOAccess and affordabilityvulnerability%COUNTRYFAO_FAOSTAT 210091 SDG 2.1.2 WB_WDI SN.ITK.MSFI.ZS
Severe food insecurity (FIES)IND.FOO.access.fies_severeFOOAccess and affordabilityvulnerability%COUNTRYFAO_FAOSTAT 210401 SDG 2.1.2 WB_WDI SN.ITK.SVFI.ZS
Cost of a healthy dietIND.FOO.access.healthy_diet_costFOOAccess and affordabilityvulnerability[USD]COUNTRYWB_WDI CoHD_PPP
Population unable to afford a healthy dietIND.FOO.access.healthy_diet_unaffordableFOOAccess and affordabilityvulnerability%COUNTRYWB_WDI CoHD_headcount
Population in IPC Phase 3 or aboveIND.FOO.acute.ipc_phase3plus_populationFOOAcute food insecurityimpact{persons}COUNTRY, ADM1, ADM2IPC Phase 3+
Share of analysed population in IPC Phase 3 or aboveIND.FOO.acute.ipc_phase3plus_shareFOOAcute food insecurityimpact%COUNTRY, ADM1, ADM2IPC Phase 3+
IPC Phase 3 or above, share of total populationIND.FOO.acute.ipc_phase3plus_population_share_totalFOOAcute food insecurityimpact%COUNTRY
Presence of population in IPC Phase 5IND.FOO.acute.ipc_phase5_presenceFOOAcute food insecurityimpact{bool}COUNTRY, ADM1, ADM2IPC Phase 5
Indicator of food price anomalies (food CPI)IND.FOO.prices.food_price_anomalyFOOFood priceshazard1COUNTRYSDG 2.c.1
Months with abnormally high food pricesIND.FOO.prices.abnormal_price_monthsFOOFood priceshazard%COUNTRY
Food import bill, share of merchandise exportsIND.FOO.prices.food_import_bill_to_exportsFOOFood pricesvulnerability%COUNTRYFAO_FAOSTAT 21033
Agriculture, forestry and fishing value added, share of GDPIND.FOO.agriculture.agri_value_added.gdpFOOAgricultural production and dependencevulnerability%COUNTRYWB_WDI NV.AGR.TOTL.ZS
Employment in agriculture, share of total employmentIND.FOO.agriculture.agri_employment_shareFOOAgricultural production and dependencevulnerability%COUNTRYWB_WDI SL.AGR.EMPL.ZS
Cereal yieldIND.FOO.agriculture.cereal_yieldFOOAgricultural production and dependencevulnerabilitykg/harCOUNTRYWB_WDI AG.YLD.CREL.KG
Cereal yield variability (15-year)IND.FOO.agriculture.cereal_yield_variabilityFOOAgricultural production and dependencevulnerability%COUNTRY
Agricultural water withdrawal, share of totalIND.FOO.agriculture.agri_water_withdrawalFOOAgricultural production and dependencevulnerability%COUNTRYWB_WDI ER.H2O.FWAG.ZS
Cropland, share of land areaIND.FOO.agriculture.cropland.shareFOOAgricultural production and dependenceexposure%COUNTRY, ADM1, ADM2, GRIDWB_WDI AG.LND.ARBL.ZS
Vegetation Health Index on croplandIND.FOO.agriculture.vegetation_health_indexFOOAgricultural production and dependencehazard{score}COUNTRY, ADM1, ADM2, GRID
Casualties from landmines and explosive remnants of warIND.CON.civilian.explosive_ordnance_casualtiesCONCivilian harmimpact{persons}COUNTRY
Renewable share of total final energy consumptionIND.ENE.mix.renewable_share_tfecENEEnergy mixadaptive capacity%COUNTRYSDG 7.2.1 WB_WDI EG.FEC.RNEW.ZS
Primary energy intensity of GDPIND.ENE.mix.energy_intensityENEEnergy mixvulnerabilityMJ/[USD]COUNTRYSDG 7.3.1 WB_WDI EG.EGY.PRIM.PP.KD
Fossil share of electricity generationIND.ENE.mix.fossil_electricity_shareENEEnergy mixvulnerability%COUNTRYWB_WDI EG.ELC.FOSL.ZS
Installed renewable generating capacity per capitaIND.ENE.mix.renewable_capacity.pcENEEnergy mixadaptive capacityW/{person}COUNTRYSDG 7.b.1
Water-dependent electricity generation, shareIND.ENE.mix.water_dependent_generation.shareENEEnergy mixvulnerability%COUNTRY, ADM1
Heating and cooling degree daysIND.ENE.reliability.thermal_demand_degree_daysENEReliabilityhazardK.d/aCOUNTRY, ADM1, CITY, GRID
Water supply network resilienceIND.INF.utilities.water_network_resilienceINFUtilitiescoping capacity{score}COUNTRY, ADM1, CITYISO_37123 ISO 37123:2019
Water supply assets in high-hazard zones, shareIND.INF.utilities.water_assets_exposed.shareINFUtilitiesexposure%COUNTRY, ADM1, ADM2, CITY, GRID
05Hazards

Hazard families this series reads

families, each crosswalked to the UNDRR–ISC Hazard Information Profiles (2025) where a profile exists.

FIG 4 · Hazard families this series reads
IceLandPlanetary115HAZARDS
3 hazard domains (inner ring) and 16 families (outer ring), sized by hazard count. Select a segment to filter the table below.
FamilyDomainHazardsCount
Planetary boundary transgressionsPlanetary boundaries and Earth-system tippingClimate-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 elementsPlanetary boundaries and Earth-system tippingGreenland 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 extinction6
Ocean circulation and marine tippingPlanetary boundaries and Earth-system tippingAtlantic overturning weakening, Atlantic overturning collapse, Subpolar gyre convection collapse, Antarctic overturning slowdown, Arctic Ocean atlantification, Warm-water coral reef die-off, Marine methane hydrate destabilisation7
Biome tipping elementsPlanetary boundaries and Earth-system tippingAmazon rainforest dieback, Boreal forest southern dieback, Boreal forest northern advance, Tropical forest carbon-sink reversal, Sahel vegetation regime shift5
Carbon-cycle feedbacksPlanetary boundaries and Earth-system tippingPermafrost 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 feedback7
Atmospheric circulation and monsoon tippingPlanetary boundaries and Earth-system tippingSouth 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 catastrophesPlanetary boundaries and Earth-system tippingSupereruption, Large-magnitude explosive eruption, Flood-basalt eruption episode, Impact winter, Comet shower, Solar superflare, Gamma-ray burst, Nearby supernova …10
Vegetation and peat fireLand and ecosystemsExtreme fire weather, Wildfire, Wildland-urban interface fire, Peat and underground fire, Fire regime shift5
Forest and woodland stressLand and ecosystemsDeforestation, Forest dieback, Large forest disturbance, Forest pest invasion, Native forest insect outbreak5
Land and wetland degradationLand and ecosystemsLand degradation, Desertification, Soil quality decline, Soil salinisation and sodicity, Wetland loss, Mangrove loss, Peatland drainage and degradation, Soil sealing …9
Biodiversity and species stressLand and ecosystemsBiodiversity loss, Coral bleaching, Pollinator decline, Fishery collapse, Mass wildlife mortality, Human-wildlife conflict, Wildlife disease panzootic, Insect decline …12
Climate-state shiftsLand and ecosystemsAbrupt climate-system shift, Volcanic cooling2
Ecosystem regime shiftsLand and ecosystemsKelp forest collapse, Seagrass meadow loss, Lake clear-to-turbid shift, Woody plant encroachment, Coastal habitat squeeze, Food-web collapse6
Snowpack hazardsIce and snowSnow avalanche, Snow drought, Rain-on-snow event3
Glacier, ice-sheet and permafrost changeIce and snowGlacial lake outburst flood, Glacier or ice-mass collapse, Glacier mass loss, Ice-sheet mass loss, Permafrost thaw, Ice-shelf disintegration, Subglacial outburst flood, Glacier surge …10
Floating iceIce and snowSea ice, Iceberg and ice-floe drift, Sea-ice loss, Lake and river ice loss, Shoreline ice shove5
06Pathways

How this risk can move to 2100

FIG 5 · Explorer: a pathway fan chart to 2100
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runs in your browser
Explorer: 2,000 paths from your drift, volatility and shock settings, shown as a fan chart (50% and 90% bands, median line) against the class bounds. Pathways editions project each domain under named scenario families; this explainer uses no scenario data.
07Methods

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.

24 methods

Climate, nature and biodiversity

Climate Extremes · Chronic Climate Risk · Compound Climate Risk · Climate Scenario Ensemble · Climate Attribution Science · Land Cover Change · Deforestation …

37 methods

Hazard science

Hazard Intensity Footprint Screening · Earthquake Hazard · Earthquake Ground Motion · Earthquake Rupture · Liquefaction · Landslide · Tsunami …

08Users

Who uses it

Universities and research

Replicate every value; Study methods; Contribute data and review

Governments and national risk agencies

Prioritise prevention and preparedness; Plan with subnational layers; Track Sendai targets; Co-develop a national index

UN system and humanitarian organisations

Compare needs across contexts with intervals; Watch weekly signals for review; Read outlooks for anticipatory planning

Banks, asset managers and sovereign investors

Read sovereign and systemic context; Run climate pathway packs; Build portfolio postures

09Reports

Nexus Reports

Edition code
SR-09
Edition status
planned
Subject
Named by Nexus Reports
Nexus Reports
10Cite

Cite and reuse

GCRI Canada (2026). The Global Risks Index (NXS-GRX (canonical data, provenance and risk)): Planetary boundaries series (GRX-SER-SR-09), Baseline Edition 2026. Preparatory working draft. https://risksindex.com/series/sr-09/ UNI NXS-GRX-AR-000082.
Series key
grix:SER.SR-09:{ISO3}:{YEAR}:A
Domain keys
nis:IDX.CLI.physical_chronic.climate_physical_risk:{ISO3}:{YEAR}:A nis:IDX.CLI.transition.transition_risk:{ISO3}:{YEAR}:A nis:IDX.ENV.biodiversity.environmental_pressure:{ISO3}:{YEAR}:A

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