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Global Risks Index
The Global Risks Index · GRX-IDX-INF · VUL Human and systems vulnerability

基础设施脆弱性指数

Index of transport and digital connectivity deficits, utility fragility, energy supply unreliability and realised disruption impact on a 0–10 scale, higher meaning more fragile.

Page GRX-IDX-INFEdition Baseline Edition 2026Evidence close 2026-09-30Indicator Standard IDX.INF.disruption.infrastructure_fragilityValues not yet publishedMethod v1.0.0-draft
FIG 1 · Method card
Aggregation

geometric

expert weights · floor 0.1 where geometric

不确定性

1,000 draws

normalisation, weights, aggregation, imputation

结构

5 components

24 leaf indicators

覆盖范围

67% minimum

modelled share ≤ 30%

From the Indicator Standard definition of this index.
24
leaf indicators
5
components
1,000
Monte Carlo draws
10
series read it
01Construction

From indicators to the composite

Shows how likely infrastructure is to fail or isolate people under stress, and how much it already has; sub-indices stay visible beside the total.

computation
How Infrastructure fragility is computed
Graph32 nodes
流程图
01指标
02Sub-indices
03Domain index
04支柱
05综合
100%
索引
  1. 距全天候道路 2 km 以内的农村人口
    Indicator · IND · %
    Share of the rural population living within two kilometres (about a 20-minute walk) of a road passable in all seasons, estimated from gridded population and road-network condition data.
  2. 物流绩效
    Indicator · IND · score
    Overall score of trade logistics performance (customs, infrastructure, shipments, logistics competence, tracking, timeliness) on a 1–5 scale, as an external source series.
  3. 班轮运输连通性(相对前沿水平)
    Indicator · IND · %
    Liner shipping connectivity of the economy’s ports (ship deployment, container capacity, services, companies, direct connections) as a percentage of the highest-scoring economy in the same year.
  4. 人均航空客运量
    Indicator · IND · passengers/a/person
    Passengers carried on domestic and international flights by carriers registered in the economy, per resident per year.
  5. 可便捷使用公共交通的城市人口
    Indicator · IND · %
    Share of the urban population living within 500 m walking distance of a low-capacity public transport stop or 1 km of a high-capacity one.
  6. 互联网使用者
    Indicator · IND · %
    Share of individuals who used the Internet from any location and device in the last three months.
  7. 移动网络覆盖人口,按技术划分
    Indicator · IND · %
    Share of the population within range of a mobile-cellular signal, reported separately for 2G, 3G, 4G/LTE and 5G; the headline value is 4G or better.
  8. 每 100 名居民固定宽带订阅数
    Indicator · IND · /10*2
    Fixed subscriptions to the public Internet at advertised download speeds of at least 256 kbit/s, per 100 inhabitants, by speed tier.
  9. 国际连接路由冗余度
    Indicator · IND · 1
    Number of physically diverse international connectivity routes (distinct subsea-cable landing stations and cross-border terrestrial fibre routes) serving the economy, capped at ten.
  10. 电网韧性
    Indicator · IND · score
    Target-defined score (0–1) combining transmission N-1 compliance, share of demand restorable within 24 hours after a major event, black-start capability and hardening of critical substations against flood, wind, heat and geomagnetic stress.
  11. 供水网络韧性
    Indicator · IND · score
    Target-defined score (0–1) combining non-revenue water, storage in days of average demand, source redundancy, back-up power at treatment and pumping sites, and planned restoration time after a major event.
  12. 具备 72 小时备用电源的关键设施
    Indicator · IND · %
    Share of hospitals, emergency operations centres, water and wastewater plants and telecom core sites with on-site back-up power and fuel for at least 72 hours of operation.
  13. 基础设施投资缺口,占 GDP 比重
    Indicator · IND · %
    Difference between the estimated annual investment needed to meet infrastructure service and resilience needs (energy, transport, water, telecom) and current-trend investment, as a percentage of GDP.
  14. 企业在典型月份遭遇的停电次数
    Indicator · IND · /mo
    Average number of electrical outages that formal private firms report in a typical month, from establishment surveys.
  15. 停电造成的损失,占企业销售额比重
    Indicator · IND · %
    Losses that firms attribute to power outages as a percentage of annual sales, from establishment surveys.
  16. 系统平均停电持续时间(SAIDI)
    Indicator · IND · h/a
    Total minutes of sustained supply interruption per customer served in the year, expressed in hours, as reported by distribution utilities under the IEEE 1366 convention.
  17. 系统平均停电频率(SAIFI)
    Indicator · IND · /a
    Number of sustained supply interruptions per customer served in the year, as reported by distribution utilities under the IEEE 1366 convention.
  18. 输配电损耗
    Indicator · IND · %
    Electricity lost between generation and the consumer, technical and commercial, as a share of electricity output.
  19. 因灾害受损或被毁的关键基础设施单位
    Indicator · IND · 1
    Number of critical infrastructure units and facilities (health, education, transport, utilities, other) damaged or destroyed by hazardous events in the year.
  20. 因灾害受损或被毁的卫生设施
    Indicator · IND · 1
    Number of health facilities damaged or destroyed by hazardous events in the year.
  21. 因灾害受损或被毁的教育设施
    Indicator · IND · 1
    Number of educational facilities damaged or destroyed by hazardous events in the year.
  22. 灾害导致的基本服务中断
    Indicator · IND · 1
    Number of disruption events to basic services (education, health, and other basic services such as water, power, transport, telecom and waste) caused by hazardous events in the year.
  23. 关键基础设施直接经济损失,占 GDP 比重
    Indicator · IND · %
    Direct economic loss from damage to or destruction of critical infrastructure by hazardous events in the year, as a percentage of GDP.
  24. 全国范围互联网中断小时数
    Indicator · IND · h/a
    Total hours in the year during which measured national internet connectivity fell below half of its expected level, whether from shutdowns, cable cuts, power loss or attack.
  25. Transport connectivity deficit sub-index
    Sub-index · SUB · w 1 · 22.2%
    Composite of the lack of rural all-season road access, weak logistics performance, low liner shipping connectivity, low air connectivity and limited urban public transport, each inverted.
  26. Digital connectivity deficit sub-index
    Sub-index · SUB · w 1 · 22.2%
    Composite of the lack of internet use, mobile coverage, fixed broadband and international route redundancy, each inverted.
  27. Utility system fragility sub-index
    Sub-index · SUB · w 1 · 22.2%
    Composite of the lack of power-grid and water-network resilience and of back-up power at critical facilities, together with the infrastructure investment gap.
  28. Electricity supply unreliability sub-index
    Sub-index · SUB · w 1 · 22.2%
    Composite of firm-reported outages and sales losses, SAIDI, SAIFI and network losses.
  29. Infrastructure disruption impact sub-index
    Sub-index · SUB · w 0.5 · 11.1%
    Composite of disaster damage to critical infrastructure, health and education facilities, basic-service disruptions, economic loss to infrastructure and internet disruption hours, normalised over a ten-year rolling window.
  30. 基础设施脆弱性指数
    Domain index · IDX · geometric
    Index of transport and digital connectivity deficits, utility fragility, energy supply unreliability and realised disruption impact on a 0–10 scale, higher meaning more fragile.
  31. 人类与系统脆弱性
    Pillar · PILLAR · 8 indices
    How susceptible are people, livelihoods, ecosystems and essential systems to harm when a shock arrives?
  32. 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
未运行进行中已完成
FIG 2. 24 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 infrastructure fragility on your numbers
Components (0 to 10)
3.0
5.0
7.0
4.0
6.0
25
1
–
在您的浏览器中运行
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方法

Treatment, normalisation, weighting, aggregation, uncertainty

Treatment
WINSORISE
Outlier rule
|skew| > 2, kurtosis > 3.5
Normalisation
INFORM 0–10 rescaling
Imputation
NONE
Coverage minimum
67% of components
Modelled share cap
30% of weight
Weighting
专家
Aggregation
geometric
Scale
0 to 10
不确定性
1,000 Monte Carlo runs over normalisation, weights, aggregation, imputation
Framework basis
OECD/JRC Handbook (2008); JRC COIN 10-step guide; Sendai Framework target D; UNDRR Principles for Resilient Infrastructure (2022)
很低0.0 至 < 2.0
低2.0 至 < 3.5
中3.5 至 < 5.0
高5.0 至 < 6.5
很高6.5 至 10.0
04Components

5 components, 24 indicators

Transport connectivity deficit sub-index w 1

Composite of the lack of rural all-season road access, weak logistics performance, low liner shipping connectivity, low air connectivity and limited urban public transport, each inverted.

指标单位证据来源占比
距全天候道路 2 km 以内的农村人口IND.INF.transport.rural_road_access%Class Cwb-rural-access-index, openstreetmap, worldpop33.3%
物流绩效IND.INF.transport.logistics_performance{score}Class Ewb-lpi22.2%
班轮运输连通性(相对前沿水平)IND.INF.transport.liner_shipping_connectivity%Class Bunctad-lsci, wb-wdi22.2%
人均航空客运量IND.INF.transport.air_passengers.pc{passengers}/a/{person}Class Bicao-air-transport-reporting, wb-wdi11.1%
可便捷使用公共交通的城市人口IND.INF.transport.public_transport_access%Class Cun-habitat-urban-indicators-database, gtfs-feeds, openstreetmap11.1%

Digital connectivity deficit sub-index w 1

Composite of the lack of internet use, mobile coverage, fixed broadband and international route redundancy, each inverted.

指标单位证据来源占比
互联网使用者IND.INF.digital.internet_users%Class Bitu-datahub, wb-wdi, national-ict-household-surveys33.3%
移动网络覆盖人口,按技术划分IND.INF.digital.mobile_network_coverage%Class Bitu-datahub, gsma-mobile-coverage-maps33.3%
每 100 名居民固定宽带订阅数IND.INF.digital.fixed_broadband/10*2Class Bitu-datahub, wb-wdi, oecd-broadband-portal16.7%
国际连接路由冗余度IND.INF.digital.international_connectivity_redundancy1Class Dtelegeography-submarine-cable-map, itu-broadband-maps, peeringdb16.7%

Utility system fragility sub-index w 1

Composite of the lack of power-grid and water-network resilience and of back-up power at critical facilities, together with the infrastructure investment gap.

指标单位证据来源占比
电网韧性IND.INF.utilities.power_grid_resilience{score}Class Dnational-energy-regulators, transmission-system-operator-reports, entso-e-transparency25.0%
供水网络韧性IND.INF.utilities.water_network_resilience{score}Class Eibnet-water-utility-database, national-water-regulators, municipal-utility-reports25.0%
具备 72 小时备用电源的关键设施IND.INF.utilities.critical_facility_backup_power%Class Ewho-health-facility-assessments, national-civil-protection-inspections25.0%
基础设施投资缺口,占 GDP 比重IND.INF.utilities.infrastructure_investment_gap.gdp%Class Cgi-hub-infrastructure-outlook, wb-ppi-database, imf-investment-and-capital-stock-dataset25.0%

Electricity supply unreliability sub-index w 1

Composite of firm-reported outages and sales losses, SAIDI, SAIFI and network losses.

指标单位证据来源占比
企业在典型月份遭遇的停电次数IND.ENE.reliability.firm_power_outages/moClass Bwb-enterprise-surveys, wb-b-ready22.2%
停电造成的损失,占企业销售额比重IND.ENE.reliability.outage_sales_loss%Class Bwb-enterprise-surveys22.2%
系统平均停电持续时间(SAIDI)IND.ENE.reliability.saidih/aClass Bwb-b-ready, national-energy-regulators, ceer-benchmarking-report, us-eia-86122.2%
系统平均停电频率(SAIFI)IND.ENE.reliability.saifi/aClass Bwb-b-ready, national-energy-regulators, ceer-benchmarking-report, us-eia-86122.2%
输配电损耗IND.ENE.reliability.td_losses%Class Biea-electricity-information, national-energy-regulators, wb-wdi11.1%

Infrastructure disruption impact sub-index w 0.5

Composite of disaster damage to critical infrastructure, health and education facilities, basic-service disruptions, economic loss to infrastructure and internet disruption hours, normalised over a ten-year rolling window.

指标单位证据来源占比
因灾害受损或被毁的关键基础设施单位IND.INF.disruption.critical_infrastructure_damage1Class Bundrr-sendai-framework-monitor, desinventar22.2%
因灾害受损或被毁的卫生设施IND.INF.disruption.health_facilities_damaged1Class Bundrr-sendai-framework-monitor, who-health-resources-availability-monitoring11.1%
因灾害受损或被毁的教育设施IND.INF.disruption.education_facilities_damaged1Class Bundrr-sendai-framework-monitor, gadrrres-comprehensive-school-safety11.1%
灾害导致的基本服务中断IND.INF.disruption.basic_service_disruptions1Class Cundrr-sendai-framework-monitor22.2%
关键基础设施直接经济损失,占 GDP 比重IND.INF.disruption.critical_infrastructure_loss.gdp%Class Cundrr-sendai-framework-monitor, wb-gfdrr-pdna-reports22.2%
全国范围互联网中断小时数IND.INF.digital.internet_disruption_hoursh/aClass Dioda-georgia-tech, cloudflare-radar, access-now-keepiton11.1%
05领域

基础设施

Critical infrastructure stock, condition, service continuity, connectivity and urban systems.

Sub-domain指标
Transport6
Digital connectivity5
Utilities7
Urban systems1
Service disruption5

Anchor frameworks (pillar structure and definitions only): Sendai D; ISO 37120 / 37122 / 37123.

06指标

All 24 infrastructure indicators

FIG 4 · Indicators in scope, by domain and sub-domain
INF · 24
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.
指标领域Sub-domain组件单位级别Crosswalks
距全天候道路 2 km 以内的农村人口IND.INF.transport.rural_road_accessINFTransportcoping capacity%COUNTRY, ADM1SDG 9.1.1
物流绩效IND.INF.transport.logistics_performanceINFTransportcoping capacity{score}COUNTRYWB_WDI LP.LPI.OVRL.XQ
班轮运输连通性(相对前沿水平)IND.INF.transport.liner_shipping_connectivityINFTransportcoping capacity%COUNTRYWB_WDI IS.SHP.GCNW.XQ
人均航空客运量IND.INF.transport.air_passengers.pcINFTransportcoping capacity{passengers}/a/{person}COUNTRYWB_WDI IS.AIR.PSGR
可便捷使用公共交通的城市人口IND.INF.transport.public_transport_accessINFTransportcoping capacity%CITY, ADM1, COUNTRYSDG 11.2.1 ISO_37120 ISO 37120:2018
位于高危害区的公路和铁路网络占比IND.INF.transport.network_exposed.shareINFTransportexposure%COUNTRY, ADM1, ADM2, CITY, GRID
互联网使用者IND.INF.digital.internet_usersINFDigital connectivitycoping capacity%COUNTRY, ADM1, CITYSDG 17.8.1 WB_WDI IT.NET.USER.ZS
移动网络覆盖人口,按技术划分IND.INF.digital.mobile_network_coverageINFDigital connectivitycoping capacity%COUNTRY, ADM1SDG 9.c.1
每 100 名居民固定宽带订阅数IND.INF.digital.fixed_broadbandINFDigital connectivitycoping capacity/10*2COUNTRY, ADM1SDG 17.6.1 WB_WDI IT.NET.BBND.P2
国际连接路由冗余度IND.INF.digital.international_connectivity_redundancyINFDigital connectivitycoping capacity1COUNTRY
全国范围互联网中断小时数IND.INF.digital.internet_disruption_hoursINFDigital connectivityimpacth/aCOUNTRY
电网韧性IND.INF.utilities.power_grid_resilienceINFUtilitiescoping capacity{score}COUNTRY, ADM1, CITYISO_37123 ISO 37123:2019
供水网络韧性IND.INF.utilities.water_network_resilienceINFUtilitiescoping capacity{score}COUNTRY, ADM1, CITYISO_37123 ISO 37123:2019
具备 72 小时备用电源的关键设施IND.INF.utilities.critical_facility_backup_powerINFUtilitiescoping capacity%COUNTRY, ADM1, CITYISO_37123 ISO 37123:2019
位于高危害区的供水资产占比IND.INF.utilities.water_assets_exposed.shareINFUtilitiesexposure%COUNTRY, ADM1, ADM2, CITY, GRID
位于高危害区的发电和电网资产占比IND.INF.utilities.power_assets_exposed.shareINFUtilitiesexposure%COUNTRY, ADM1, ADM2, CITY, GRID
位于高危害区的生命线设施占比IND.INF.utilities.lifeline_facilities_exposed.shareINFUtilitiesexposure%COUNTRY, ADM1, ADM2, CITY, GRID
基础设施投资缺口,占 GDP 比重IND.INF.utilities.infrastructure_investment_gap.gdpINFUtilitiesvulnerability%COUNTRY
City electricity interruption hours per customerIND.INF.urban.power_interruption_hoursINFUrban systemsvulnerabilityh/aCITYISO_37120 ISO 37120:2018
因灾害受损或被毁的关键基础设施单位IND.INF.disruption.critical_infrastructure_damageINFService disruptionimpact1COUNTRY, ADM1SENDAI D-1 SDG 11.5.2
因灾害受损或被毁的卫生设施IND.INF.disruption.health_facilities_damagedINFService disruptionimpact1COUNTRY, ADM1SENDAI D-2
因灾害受损或被毁的教育设施IND.INF.disruption.education_facilities_damagedINFService disruptionimpact1COUNTRY, ADM1SENDAI D-3
灾害导致的基本服务中断IND.INF.disruption.basic_service_disruptionsINFService disruptionimpact1COUNTRY, ADM1SENDAI D-5
关键基础设施直接经济损失,占 GDP 比重IND.INF.disruption.critical_infrastructure_loss.gdpINFService disruptionimpact%COUNTRY, ADM1SENDAI C-5
07引用

Infrastructure fragility index, world

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

NXS-GRX · INF · 195 profiles · 0–10 scale
Infrastructure fragility index, world
–
数值随版本发布;区间、类别和变化将显示在这里。
上一版
–
Range since 2016
–
耦合综合
–
耦合得分 S
–
脉搏,最近一周
–
Outlook, 12 months
–
方法
Indicator Standard 1.0 · NXS-GRX 2026
抽样次数
1,000
Infrastructure fragility index, world, by edition

尚无已发布的数值。第一版发布后将在这里绘制历史,并附区间带和类别边界。

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.
暂无变动。 自第二版起,与上一版相比的变化将在此列出,并附上驱动这些变化的指标。
08数值

Country values

FIG 5 · Infrastructure fragility index: countries (values when released)
正在加载地图
安道尔安提瓜和巴布达巴林巴巴多斯科摩罗佛得角多米尼克密克罗尼西亚(联邦)格林纳达基里巴斯圣基茨和尼维斯圣卢西亚列支敦士登摩纳哥马尔代夫马绍尔群岛马耳他毛里求斯瑙鲁帕劳新加坡圣马力诺圣多美和普林西比塞舌尔汤加图瓦卢教廷圣文森特和格林纳丁斯萨摩亚
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.
瓦片
/api/v1/public/grix/risk-products/tiles/inf/{z}/{x}/{y}.mvt
观测键
nis:IDX.INF.disruption.infrastructure_fragility:{ISO3}:{YEAR}:A
09系列

Series that read this index

GLBGlobal SystemsThe state of interdependent global risk: the twenty domain indices aggregated to the world, the five core systems (water, energy, food, health, biodiversity) and their couplings, the global tail register and the gap between perceived and measured risk. GS-09Global InfrastructureInfrastructure fragility, service continuity, interdependency of power, water, transport and telecommunications, and investment exposure. GS-10Global CitiesUrban exposure, heat, flooding, informal settlement, service dependency and the economic weight of cities at risk. SR-10Digital public infrastructureIdentity, payments and data-exchange infrastructure as public goods, and their concentration, cyber and continuity risk. XT-03Telecommunications, open radio networks and edgeTelecom resilience, open and AI-native radio access networks, private wireless, edge compute and spectrum constraints. XT-06SemiconductorsSemiconductor supply concentration, fabrication chokepoints, materials and equipment dependency and export-control exposure. XT-08Drones, robotics and autonomous systemsAutonomous and robotic systems in logistics, agriculture, industry and security: failure, misuse and safety oversight. XT-09Sensors, IoT and industrial IoTConnected sensing and control across cities, utilities and industry: attack surface, data integrity and dependency. XT-12Positioning, navigation and timingDependency of power, telecom, finance and transport on positioning and timing signals; jamming, spoofing and space weather. TH-02Disaster Risk Reduction (DRR)Hazard, exposure, vulnerability, capacity, preparedness, redundancy and recovery readings for planning and learning, aligned to the Sendai Framework targets.
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
WB_WDI8
SDG6
SENDAI5
ISO_371203
ISO_371233
11贯穿 Nexus

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

引用与再利用

GCRI Canada (2026). The Global Risks Index (NXS-GRX): Infrastructure fragility index (GRX-IDX-INF), Baseline Edition 2026. Preparatory working draft. https://risksindex.com/indices/infrastructure-fragility/ UNI NXS-GRX-AR-000127.

See this index in every country profile

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