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Global Risks Index
The Global Risks Index · GRX-IDX-HAZ · HTE Hazard and threat exposure

マルチハザード・エクスポージャー指数

INFORM-style 0–10 index of natural-hazard exposure: the geophysical, flood and coastal, storm and climatological sub-indices plus the multi-hazard population share, combined by a geometric mean of complements (10 minus each score) so that one severe hazard is not averaged away.

Page GRX-IDX-HAZEdition Baseline Edition 2026Evidence close 2026-09-30Indicator Standard IDX.HAZ.multi.hazard_exposureValues not yet publishedMethod v1.0.0-draft
FIG 1 · Method card
Aggregation

geometric complement

equal weights · floor 0.1 where geometric

不確実性

1,000 draws

normalisation, weights, aggregation, imputation

構成

5 components

17 leaf indicators

対象範囲

60% minimum

modelled share ≤ 20%

From the Indicator Standard definition of this index.
17
leaf indicators
5
components
1,000
Monte Carlo draws
7
series read it
01Construction

From indicators to the composite

Gives the hazard and exposure dimension of a place risk profile with every hazard visible underneath; realised loss stays a separate dimension.

computation
How Multi-hazard exposure is computed
Graph24 nodes
グラフ
01指標
02Sub-indices
03Domain index
04柱
05総合
100%
索引
  1. 再現期間 475 年の最大地動加速度
    Indicator · IND · g
    Peak horizontal ground acceleration on reference rock with a 10% probability of exceedance in 50 years (475-year mean return period); aggregates are population-weighted means of grid values.
  2. 強い地震動にさらされる人々(人口に占める割合)
    Indicator · IND · %
    Expected annual number of people exposed to shaking of MMI VIII or higher divided by total population.
  3. 津波にさらされる人口(割合)
    Indicator · IND · %
    Expected annual number of people inside modelled tsunami inundation footprints divided by total population.
  4. 100 年間に被害をもたらす降灰が発生する確率
    Indicator · IND · 1
    Modelled probability that ash deposits of 1 cm or more accumulate at least once in the next 100 years, from stochastic eruption and dispersal simulations.
  5. 河川洪水にさらされる人々(人口に占める割合)
    Indicator · IND · %
    Expected annual number of people exposed to river flooding divided by total population.
  6. 100 年確率の沿岸氾濫原の人口(割合)
    Indicator · IND · %
    Share of residents living on land below the 100-year extreme still-water level and hydraulically connected to the sea, ignoring defences.
  7. 標高 5 m 未満の人口(割合)
    Indicator · IND · %
    Share of residents living in areas whose land elevation is below 5 metres above sea level.
  8. 地すべり感受性の高い地域の人口(割合)
    Indicator · IND · %
    Share of residents living in cells classed high or very high in a global or national landslide-susceptibility model combining slope, lithology, faults, land cover and road cuts.
  9. カテゴリー 1 以上の低気圧の強風の年間発生確率
    Indicator · IND · 1
    Modelled probability that one-minute sustained wind of at least 33 m/s (Saffir-Simpson category 1) from a tropical cyclone occurs at the location at least once in a year.
  10. カテゴリー 1 の低気圧の強風にさらされる人々(人口に占める割合)
    Indicator · IND · %
    Expected annual number of people exposed to category 1 or stronger tropical-cyclone wind divided by total population.
  11. 年間の大粒の雹の日数
    Indicator · IND · d/a
    Average annual number of days with hail of 2 cm diameter or larger within a 25 km radius, from reports and radar or reanalysis-based proxies over at least 20 years.
  12. 激しい雷雨が起こりやすい環境の日数
    Indicator · IND · d/a
    Average annual number of days on which the product of convective available potential energy and deep-layer wind shear exceeds a severe-storm threshold, from reanalysis.
  13. 深刻な気象干ばつの頻度
    Indicator · IND · %
    Share of months over the latest 30-year window in which the 12-month Standardised Precipitation-Evapotranspiration Index is at or below -1.5.
  14. 農業干ばつストレスの頻度
    Indicator · IND · %
    Share of growing seasons over the latest 30 years in which more than 30% of cropland shows vegetation-health values indicating drought stress.
  15. 極端な暑さにさらされる人口(割合)
    Indicator · IND · %
    Share of residents living where the 30-year mean annual count of days with daily maximum wet-bulb globe temperature of 31 °C or more exceeds 30.
  16. 極端な火災気象の年間日数
    Indicator · IND · d/a
    Average annual number of days on which the Canadian Fire Weather Index exceeds the local 95th percentile of a 1981–2010 baseline, from reanalysis.
  17. Geophysical hazard and exposure sub-index
    Sub-index · SUB · w 1 · 22.2%
    Composite of earthquake shaking intensity, population exposed to strong shaking, population exposed to tsunami and the probability of damaging volcanic ash fall.
  18. Flood and coastal hazard and exposure sub-index
    Sub-index · SUB · w 1 · 22.2%
    Composite of population exposed to river flooding, population in the 100-year coastal floodplain, population below 5 m elevation and population in high landslide-susceptibility zones.
  19. 2 つ以上の主要なハザードにさらされる人口(割合)
    Indicator · IND · w 0.5
    Share of residents living where at least two hazard families exceed their high-hazard threshold (for example PGA475 of 0.2 g or more, RP100 flood depth above 0.5 m, RP100 cyclone wind of category 1 or more), counted once per person.
  20. Storm hazard and exposure sub-index
    Sub-index · SUB · w 1 · 22.2%
    Composite of the annual probability of category 1 cyclone wind, population exposed to cyclone wind, large-hail days and severe-thunderstorm environment days.
  21. Drought, heat and fire hazard and exposure sub-index
    Sub-index · SUB · w 1 · 22.2%
    Composite of severe meteorological drought frequency, agricultural drought stress frequency, population exposed to extreme humid heat and extreme fire-weather days.
  22. マルチハザード・エクスポージャー指数
    Domain index · IDX · geometric complement
    INFORM-style 0–10 index of natural-hazard exposure: the geophysical, flood and coastal, storm and climatological sub-indices plus the multi-hazard population share, combined by a geometric mean of complements (10 minus each score) so that one severe hazard is not averaged away.
  23. ハザードと脅威へのエクスポージャー
    Pillar · PILLAR · 5 indices
    What can strike, how often, how hard and who and what stands in its way?
  24. NXS-GRX (canonical data, provenance and risk) Composite Risk
    Composite · COMPOSITE · four pillars
    Composite = (HTE × VUL × MSF × LCC)^(1/4), each pillar on 0–10 floored at 0.1; pillar = expert-weighted geometric mean of its domain indices
未実行進行中完了
FIG 2. 17 indicators, 5 components, real Indicator Standard weights (the bar under each node is its share). Select a node to trace what it feeds and what feeds it; Simulate run plays the computation in order. Schematic of the construction; source: Indicator Standard composite definitions.
02Simulator

Run this index’s own aggregation

Set each component, change the aggregation or the weight uncertainty, and watch the interval, the class probability and each component’s contribution respond.

FIG 3 · Simulator: aggregate multi-hazard exposure on your numbers
Components (0 to 10)
3.0
5.0
7.0
4.0
6.0
25
1
–
ブラウザで動作
Contribution of each component (leave one out)
Simulator: the index’s published aggregation run on numbers you set, with 1,000 draws over weights and aggregation. The slider positions are starting points for the explainer, not NXS-GRX values. Simulated on your own inputs; not a measured result.
03手法

Treatment, normalisation, weighting, aggregation, uncertainty

Treatment
WINSORISE
Outlier rule
|skew| > 2, kurtosis > 3.5
Normalisation
INFORM 0–10 rescaling
Imputation
NONE
Coverage minimum
60% of components
Modelled share cap
20% of weight
Weighting
equal
Aggregation
geometric complement
Scale
0 to 10
不確実性
1,000 Monte Carlo runs over normalisation, weights, aggregation, imputation
Framework basis
INFORM Risk Hazard & Exposure (natural); JRC audit of INFORM Risk 2024; IPCC AR6 WGII risk framing; Hazard Standard
非常に低い0.0〜< 2.0
低い2.0〜< 3.5
中程度3.5〜< 5.0
高い5.0〜< 6.5
非常に高い6.5 から 10.0
04Components

5 components, 17 indicators

Geophysical hazard and exposure sub-index w 1

Composite of earthquake shaking intensity, population exposed to strong shaking, population exposed to tsunami and the probability of damaging volcanic ash fall.

指標単位エビデンス出典割合
再現期間 475 年の最大地動加速度IND.HAZ.seismic.pga_rp475[g]Class Cgem-global-seismic-hazard-map, national-seismic-hazard-models20.0%
強い地震動にさらされる人々(人口に占める割合)IND.HAZ.seismic.eq_population_exposed.share%Class Cderived:nis:IND.HAZ.seismic.eq_population_exposed40.0%
津波にさらされる人口(割合)IND.HAZ.coastal.tsunami_population_exposed.share%Class Cgar15-probabilistic-tsunami-hazard, jrc-ghsl-ghs-pop20.0%
100 年間に被害をもたらす降灰が発生する確率IND.HAZ.seismic.ash_fall_probability1Class Dgar15-volcanic-ash-hazard, nexus-ash-dispersal-model20.0%

Flood and coastal hazard and exposure sub-index w 1

Composite of population exposed to river flooding, population in the 100-year coastal floodplain, population below 5 m elevation and population in high landslide-susceptibility zones.

指標単位エビデンス出典割合
河川洪水にさらされる人々(人口に占める割合)IND.HAZ.flood.flood_population_exposed.share%Class Cderived:nis:IND.HAZ.flood.flood_population_exposed40.0%
100 年確率の沿岸氾濫原の人口(割合)IND.HAZ.coastal.coastal_flood_population_exposed.share%Class Cjrc-ghsl-ghs-pop, deltares-gtsr, copernicus-dem-glo3020.0%
標高 5 m 未満の人口(割合)IND.HAZ.coastal.low_elevation_population.share%Class Cwb-wdi, ciesin-leczv320.0%
地すべり感受性の高い地域の人口(割合)IND.HAZ.landslide.landslide_susceptible_population.share%Class Dnasa-lhasa-susceptibility, national-landslide-inventories, jrc-ghsl-ghs-pop20.0%

Storm hazard and exposure sub-index w 1

Composite of the annual probability of category 1 cyclone wind, population exposed to cyclone wind, large-hail days and severe-thunderstorm environment days.

指標単位エビデンス出典割合
カテゴリー 1 以上の低気圧の強風の年間発生確率IND.HAZ.storm.tc_cat1_probability1Class Cstorm-synthetic-tracks, ibtracs25.0%
カテゴリー 1 の低気圧の強風にさらされる人々(人口に占める割合)IND.HAZ.storm.tc_population_exposed.share%Class Cderived:nis:IND.HAZ.storm.tc_population_exposed50.0%
年間の大粒の雹の日数IND.HAZ.storm.large_hail_daysd/aClass Dessl-eswd, noaa-spc-storm-reports, era5-convective-proxies12.5%
激しい雷雨が起こりやすい環境の日数IND.HAZ.storm.severe_convective_daysd/aClass Dera5-convective-proxies, nexus-convective-environment-model12.5%

Drought, heat and fire hazard and exposure sub-index w 1

Composite of severe meteorological drought frequency, agricultural drought stress frequency, population exposed to extreme humid heat and extreme fire-weather days.

指標単位エビデンス出典割合
深刻な気象干ばつの頻度IND.HAZ.drought.spei_drought_frequency%Class Cspei-global-drought-monitor, era5-land25.0%
農業干ばつストレスの頻度IND.HAZ.drought.agricultural_stress_frequency%Class Cfao-giews-asi25.0%
極端な暑さにさらされる人口(割合)IND.HAZ.heat.heat_population_exposed.share%Class Dderived:nis:IND.HAZ.heat.dangerous_heat_days, jrc-ghsl-ghs-pop25.0%
極端な火災気象の年間日数IND.HAZ.wildfire.extreme_fire_weather_daysd/aClass Ccopernicus-cems-fire-danger, era525.0%

Population exposed to two or more major hazards, share w 0.5

Share of residents living where at least two hazard families exceed their high-hazard threshold (for example PGA475 of 0.2 g or more, RP100 flood depth above 0.5 m, RP100 cyclone wind of category 1 or more), counted once per person.

指標単位エビデンス出典割合
2 つ以上の主要なハザードにさらされる人口(割合)IND.HAZ.multi.multi_hazard_exposure.share%Class Djrc-ghsl-ghs-pop, gem-global-seismic-hazard-map, jrc-global-flood-hazard, storm-tc-hazard, nexus-multi-hazard-overlay100.0%
05分野

Hazard and exposure

Natural and technological hazard intensity, frequency and the people, assets and systems exposed, keyed to Hazard Standard.

Sub-domain指標
Multi-hazard4
Seismic and volcanic6
Flood6
Tropical and severe storms7
干ばつ3
Extreme heat3
林野火災3
Landslide2
Coastal and sea level5
技術3
エクスポージャー5
Losses and impacts6

Anchor frameworks (pillar structure and definitions only): Hazard Standard; UNDRR-ISC HIPs 2025; INFORM Hazard & Exposure; WorldRiskIndex exposure; Sendai A-D; EM-DAT.

06指標

All 53 hazard and exposure indicators

FIG 4 · Indicators in scope, by domain and sub-domain
HAZ · 53
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. Source: Indicator Standard Nexus Indicator Standard register.
指標分野Sub-domain構成要素単位レベルCrosswalks
2 つ以上の主要なハザードにさらされる人口(割合)IND.HAZ.multi.multi_hazard_exposure.shareHAZMulti-hazardexposure%COUNTRY, ADM1, ADM2, CITY, GRIDINFORM HA.NAT
マルチハザードの年間平均損失(GDP 比)IND.HAZ.multi.aal.gdpHAZMulti-hazardimpact%COUNTRY, ADM1, CITY, PORTFOLIO
マルチハザードの年間平均損失(生産資本ストック比)IND.HAZ.multi.aal.capital_stockHAZMulti-hazardimpact%COUNTRY, ADM1, CITY, PORTFOLIO
再現期間 250 年の予想最大損失(GDP 比)IND.HAZ.multi.pml_rp250.gdpHAZMulti-hazardimpact%COUNTRY, ADM1, PORTFOLIO
再現期間 475 年の最大地動加速度IND.HAZ.seismic.pga_rp475HAZSeismic and volcanichazard[g]COUNTRY, ADM1, CITY, GRID, SITEUNDRR_HIPS_2025 GH0101 INFORM HA.NAT.EQ
強い地震動にさらされる人々(年平均)IND.HAZ.seismic.eq_population_exposedHAZSeismic and volcanicexposure{persons}COUNTRY, ADM1, CITY, GRIDINFORM EX_EQ_MMI8
強い地震動にさらされる人々(人口に占める割合)IND.HAZ.seismic.eq_population_exposed.shareHAZSeismic and volcanicexposure%COUNTRY, ADM1, CITY
地震による年間平均損失(GDP 比)IND.HAZ.seismic.eq_aal.gdpHAZSeismic and volcanicimpact%COUNTRY, ADM1, CITY, PORTFOLIO
完新世火山から 30 km 以内の人口IND.HAZ.seismic.volcano_population_30kmHAZSeismic and volcanicexposure{persons}COUNTRY, ADM1, CITYUNDRR_HIPS_2025 GH0203
100 年間に被害をもたらす降灰が発生する確率IND.HAZ.seismic.ash_fall_probabilityHAZSeismic and volcanichazard1COUNTRY, ADM1, CITY, GRID, SITEUNDRR_HIPS_2025 GH0202 EMDAT nat-geo-vol-ash
再現期間 100 年の極端な静水位IND.HAZ.coastal.extreme_sea_level_rp100HAZCoastal and sea levelhazardmCOUNTRY, ADM1, CITY, SITEUNDRR_HIPS_2025 MH0703 EMDAT nat-met-sto-sur
100 年確率の沿岸氾濫原の人口(割合)IND.HAZ.coastal.coastal_flood_population_exposed.shareHAZCoastal and sea levelexposure%COUNTRY, ADM1, CITYINFORM EX_CFL UNDRR_HIPS_2025 MH0601
標高 5 m 未満の人口(割合)IND.HAZ.coastal.low_elevation_population.shareHAZCoastal and sea levelexposure%COUNTRY, ADM1, CITYWB_WDI EN.POP.EL5M.ZS
再現期間 500 年の津波最大浸水高IND.HAZ.coastal.tsunami_inundation_rp500HAZCoastal and sea levelhazardmCOUNTRY, ADM1, CITY, SITEUNDRR_HIPS_2025 MH0705 INFORM HA.NAT.TS
津波にさらされる人口(割合)IND.HAZ.coastal.tsunami_population_exposed.shareHAZCoastal and sea levelexposure%COUNTRY, ADM1, CITYINFORM EX_TS EMDAT nat-geo-ear-tsu
Fluvial flood depth at 100-year return periodIND.HAZ.flood.river_flood_depth_rp100HAZFloodhazardmADM1, ADM2, CITY, GRID, SITEUNDRR_HIPS_2025 MH0604 EMDAT nat-hyd-flo-riv
Pluvial and flash flood depth at 100-year return periodIND.HAZ.flood.pluvial_flood_depth_rp100HAZFloodhazardmADM1, ADM2, CITY, GRID, SITEUNDRR_HIPS_2025 MH0603 UNDRR_HIPS_2025 MH0606 EMDAT nat-hyd-flo-fla
河川洪水にさらされる人々(年平均)IND.HAZ.flood.flood_population_exposedHAZFloodexposure{persons}COUNTRY, ADM1, ADM2, CITYINFORM EX_FL INFORM HA.NAT.FL
河川洪水にさらされる人々(人口に占める割合)IND.HAZ.flood.flood_population_exposed.shareHAZFloodexposure%COUNTRY, ADM1, ADM2, CITY
洪水防御の設計基準IND.HAZ.flood.flood_protection_standardHAZFloodcoping capacityaCOUNTRY, ADM1, CITY, SITE
河川洪水による年間平均損失(GDP 比)IND.HAZ.flood.flood_aal.gdpHAZFloodimpact%COUNTRY, ADM1, CITY, PORTFOLIO
再現期間 100 年の熱帯低気圧の風速IND.HAZ.storm.tc_wind_rp100HAZTropical and severe stormshazardm/sCOUNTRY, ADM1, CITY, GRID, SITEUNDRR_HIPS_2025 MH0309 INFORM HA.NAT.TC
カテゴリー 1 以上の低気圧の強風の年間発生確率IND.HAZ.storm.tc_cat1_probabilityHAZTropical and severe stormshazard1COUNTRY, ADM1, CITY, GRID, SITE
カテゴリー 1 の低気圧の強風にさらされる人々(年平均)IND.HAZ.storm.tc_population_exposedHAZTropical and severe stormsexposure{persons}COUNTRY, ADM1, CITYINFORM EX_TC_SS1
カテゴリー 1 の低気圧の強風にさらされる人々(人口に占める割合)IND.HAZ.storm.tc_population_exposed.shareHAZTropical and severe stormsexposure%COUNTRY, ADM1, CITY
熱帯低気圧による年間平均損失(GDP 比)IND.HAZ.storm.tc_aal.gdpHAZTropical and severe stormsimpact%COUNTRY, ADM1, PORTFOLIO
年間の大粒の雹の日数IND.HAZ.storm.large_hail_daysHAZTropical and severe stormshazardd/aCOUNTRY, ADM1, GRID, SITEUNDRR_HIPS_2025 MH0404 EMDAT nat-met-sto-hai
激しい雷雨が起こりやすい環境の日数IND.HAZ.storm.severe_convective_daysHAZTropical and severe stormshazardd/aCOUNTRY, ADM1, GRIDUNDRR_HIPS_2025 MH0103 EMDAT nat-met-sto-sev
深刻な気象干ばつの頻度IND.HAZ.drought.spei_drought_frequencyHAZ干ばつhazard%COUNTRY, ADM1, GRIDUNDRR_HIPS_2025 MH0401 INFORM HA.NAT.DR
農業干ばつストレスの頻度IND.HAZ.drought.agricultural_stress_frequencyHAZ干ばつhazard%COUNTRY, ADM1, GRIDINFORM ASI
干ばつの影響を受ける人々(年平均の割合)IND.HAZ.drought.drought_affected.shareHAZ干ばつimpact%COUNTRYINFORM AFF_DR EMDAT nat-cli-dro-dro
危険な湿潤暑熱の年間日数IND.HAZ.heat.dangerous_heat_daysHAZExtreme heathazardd/aCOUNTRY, ADM1, CITY, GRIDUNDRR_HIPS_2025 MH0501
1 人あたりの熱波エクスポージャー事象IND.HAZ.heat.heatwave_person_daysHAZExtreme heatexposured/aCOUNTRY, ADM1, CITY
極端な暑さにさらされる人口(割合)IND.HAZ.heat.heat_population_exposed.shareHAZExtreme heatexposure%COUNTRY, ADM1, CITY
極端な火災気象の年間日数IND.HAZ.wildfire.extreme_fire_weather_daysHAZ林野火災hazardd/aCOUNTRY, ADM1, GRID
年間焼失面積(国土面積に占める割合)IND.HAZ.wildfire.burned_area.shareHAZ林野火災hazard%COUNTRY, ADM1, GRIDUNDRR_HIPS_2025 EN0205 EMDAT nat-cli-wil-wil
原野と都市の境界域の人口(割合)IND.HAZ.wildfire.wui_population.shareHAZ林野火災exposure%COUNTRY, ADM1, CITY
地すべり感受性の高い地域の人口(割合)IND.HAZ.landslide.landslide_susceptible_population.shareHAZLandslideexposure%COUNTRY, ADM1, ADM2, CITY, GRIDUNDRR_HIPS_2025 GH0300
地すべりによる死者(100,000 人あたり、年平均)IND.HAZ.landslide.fatal_landslide_rateHAZLandslideimpact/10*5COUNTRY, ADM1EMDAT nat-hyd-mmw-lan
主要なハザードを抱える産業施設周辺の人口(割合)IND.HAZ.technological.major_hazard_site_population.shareHAZ技術exposure%COUNTRY, ADM1, CITYUNDRR_HIPS_2025 TL0304 UNDRR_HIPS_2025 TL0309
稼働中の原子炉から 30 km 以内の人口IND.HAZ.technological.nuclear_population_30kmHAZ技術exposure{persons}COUNTRY, ADM1, CITYUNDRR_HIPS_2025 TL0208
産業事故による死者(100,000 人あたり、年平均)IND.HAZ.technological.industrial_accident_deathsHAZ技術impact/10*5COUNTRYEMDAT tec-ind-ind-ind
市街地面積IND.HAZ.exposure.built_up_areaHAZエクスポージャーcontextkm2COUNTRY, ADM1, ADM2, CITY, GRID
生産資本ストックIND.HAZ.exposure.capital_stockHAZエクスポージャーcontext[USD]COUNTRY, ADM1, PORTFOLIO
高ハザード地域の市街地面積IND.HAZ.exposure.built_up_exposedHAZエクスポージャーexposurekm2COUNTRY, ADM1, ADM2, CITY, GRID
高ハザード地域の市街地面積(割合)IND.HAZ.exposure.built_up_exposed.shareHAZエクスポージャーexposure%COUNTRY, ADM1, ADM2, CITY
高ハザード地域で生み出される GDP(割合)IND.HAZ.exposure.gdp_exposed.shareHAZエクスポージャーexposure%COUNTRY, ADM1, CITY
災害による死者・行方不明者(100,000 人あたり)IND.HAZ.loss.deaths_missing_rateHAZLosses and impactsimpact/10*5COUNTRY, ADM1SENDAI A-1 SDG 1.5.1
災害の直接的な影響を受けた人々(100,000 人あたり)IND.HAZ.loss.directly_affected_rateHAZLosses and impactsimpact/10*5COUNTRY, ADM1SENDAI B-1 SDG 1.5.1
災害による直接経済損失(GDP 比)IND.HAZ.loss.direct_economic_loss.gdpHAZLosses and impactsimpact%COUNTRY, ADM1SENDAI C-1 SDG 1.5.2
記録された災害による死者(100,000 人あたり、30 年平均)IND.HAZ.loss.recorded_disaster_deathsHAZLosses and impactsimpact/10*5COUNTRY, ADM1EMDAT Total Deaths
記録された災害の影響を受けた人々(100,000 人あたり、30 年平均)IND.HAZ.loss.recorded_disaster_affectedHAZLosses and impactsimpact/10*5COUNTRY, ADM1EMDAT Total Affected
記録された災害被害(GDP 比、30 年平均)IND.HAZ.loss.recorded_disaster_damage.gdpHAZLosses and impactsimpact%COUNTRYEMDAT Total Damage, Adjusted ('000 US$)
07引用

Multi-hazard exposure index, world

The world reading of this index, every country as a tile and the largest movements since the previous edition.

NXS-GRX · HAZ · 195 profiles · 0–10 scale
Multi-hazard exposure index, world
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値は版とともに公開され、区間、区分、変化がここに表示されます。
前回の版
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Range since 2016
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結合総合
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結合スコア S
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パルス、直近 1 週間
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Outlook, 12 months
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手法
Indicator Standard 1.0 · NXS-GRX 2026
抽出
1,000
Multi-hazard exposure index, world, by edition

公開済みの値はまだありません。最初の版で、区間の帯と区分の境界とともに履歴がここに描かれます。

The line is the point value by edition; the band is the 90% interval; dashed lines are the class bounds at 2, 3.5, 5 and 6.5.
変動はまだありません。 前版からの変化は、第 2 版以降、その要因となった指標とともにここに掲載されます。
08値

Country values

FIG 5 · Multi-hazard exposure index: countries (values when released)
地図を読み込み中
アンドラアンティグア・バーブーダバーレーンバルバドスコモロカーボベルデドミニカ国ミクロネシア連邦グレナダキリバスセントクリストファー・ネーヴィスセントルシアリヒテンシュタインモナコモルディブマーシャル諸島マルタモーリシャスナウルパラオシンガポールサンマリノサントメ・プリンシペセーシェルトンガツバルバチカンセントビンセント及びグレナディーン諸島サモア
Equal Earth · Natural Earth 1:110mValues when released
Until the first edition is released the map shows UN M49 regions or the Nexus Reports edition; it then shows this index’s classes with each country’s interval on hover. Countries are listed by name, never ordered by value.
タイル
/api/v1/public/grix/risk-products/tiles/haz/{z}/{x}/{y}.mvt
観測キー
nis:IDX.HAZ.multi.hazard_exposure:{ISO3}:{YEAR}:A
10Validity

Crosswalks and validity checks

Crosswalks map leaf indicators to source code lists; established indices are used for validity checks, never re-weighted as inputs.

Code systemLeaf indicators mapped
UNDRR_HIPS_20257
INFORM6
EMDAT4
WB_WDI1
11Nexus 全体で

Platforms, standards and ways to take part

Field and service platforms of GCRI, GRF and GRA, the Nexus Risk Standards for this domain, learning, working groups and open calls. Every link is a live page.

12引用

引用と再利用

GCRI Canada (2026). The Global Risks Index (NXS-GRX): Multi-hazard exposure index (GRX-IDX-HAZ), Baseline Edition 2026. Preparatory working draft. https://risksindex.com/indices/hazard-exposure/ UNI NXS-GRX-AR-000125.

See this index in every country profile

Each profile shows this index with its interval and class once released.