Skip to content
The Global Risks Index
The Global Risks Index · Baseline Edition 2026 · preparatory working draft

The Global Risks Index

Malbata îndeksan a vekirî û pir-warî ku metirsî, lawazî, nazikiya makro-darayî, kapasîteya berxwedanê û girêdana pergalî ji bo her welatî dixwîne, bi navber, çavkanî û rastkirinan li ser her nirxî.

FIG 1 · Country profiles: select a country
Nexşe tê barkirin
AndoraAntîgua û BarbûdaBehreynBarbadosKomorKabo VerdeDomînîkaMîkronezya (Dewletên Federal ên)GrenadaKirîbatîSaint Kitts û NevisSanta LûsyaLîhtenştaynMonakoMaldîvGiravên MarşalMaltaMorîsNaûrûPalaûSingapûrSan MarînoSao Tome û PrînsîpeSeyşelTongaTûvalûKursiya PîrozSaint Vincent û GrenadînSamoa
Equal Earth · Natural Earth 1:110mValues when released
195 profiles. Colour shows facts, not risk: UN M49 region or the Nexus Reports country edition. Risk classes replace them here when an edition is released. Select a country to open its profile; drag to pan, use + and − to zoom; press a legend item to isolate it. Source: UN M49 regions (UN Statistics Division) and Nexus Reports editions.
Rûpel GRX-HOMEÇap Çapa Bingehîn 2026Girtina delîlan 2026-09-30Nirx hê nehatiye weşandinRêbaz v1.0.0-draft
195
profîlên welatan
59
series and regions
20
domain indices
451
indicator definitions
02Rûbirûbûn

Exposure and coverage at a glance

Source observations from open grids, never index values: index values publish with the edition. Each figure names its source and opens its region or country.

People by region
  1. Afrîka1.51 mîlyar18.8%
  2. Amerîka1.03 mîlyar12.8%
  3. Asya4.74 mîlyar58.8%
  4. Europe725.0 m9.0%
  5. Oceania41.9 m0.5%

GHSL 2025, European Commission JRC (CC BY 4.0), li ser yekîneyên asta yekem hatine berhevkirin.

People on land at or below 10 m
  1. Africa72.9 m4.8% of the region
  2. Americas60.9 m5.9% of the region
  3. Asia595.2 m12.6% of the region
  4. Europe37.8 m5.2% of the region
  5. Oceania3.6 m8.5% of the region

GEBCO 2024 Grid (milkê giştî) û GHSL 2025 (CC BY 4.0); mirovên li ser erdê di 10 m an kêmtir de.

Yekîneyên îdarî yên nexşekirî, li gorî astê
  1. ADM13,188195 countries
  2. ADM248,764175 countries
  3. ADM395,84674 countries
  4. ADM493,96917 countries
  5. ADM5699,5963 countries

geoBoundaries, her welat û ast bi lîsansa xwe; qatên share-alike cuda hatine hiştin.

Countries with people on land at or below 10 m
  1. Afrîka39ji 54
  2. Amerîka33ji 35
  3. Asya40ji 48
  4. Ewropa30ji 44
  5. Okyanûsya14ji 14

GEBCO 2024 Grid (milkê giştî) û GHSL 2025 (CC BY 4.0); mirovên li ser erdê di 10 m an kêmtir de.

03Nexşe

Global exposure map

People per H3 cell from the GHSL 2025 grid on a tilted world map. Scroll moves the page; Ctrl or ⌘ and scroll, or + and −, zoom the map; drag to pan, right-drag to tilt and turn; select a country to open it.

FIG 2 · Population exposure by H3 cell, GHSL 2025
Nexşe tê barkirin
Equal Earth · Natural Earth 1:110mValues when released
195 profiles. Colour shows facts, not risk: UN M49 region or the Nexus Reports country edition. Risk classes replace them here when an edition is released. Select a country to open its profile; drag to pan, use + and − to zoom; press a legend item to isolate it. Source: UN M49 regions (UN Statistics Division) and Nexus Reports editions.
04Navnîşan

What NXS-GRX (canonical data, provenance and risk) is

Malbata îndeksan a vekirî û pir-warî ku metirsî, lawazî, nazikiya makro-darayî, kapasîteya berxwedanê û girêdana pergalî ji bo her welatî dixwîne, bi navber, çavkanî û rastkirinan li ser her nirxî.

P1

A family of indices, not one monolithic score

NXS-GRX (canonical data, provenance and risk) publishes twenty domain indices, four pillar indices, a composite and six instruments. The composite never appears without every pillar and domain beside it, and no independent dimension is collapsed silently.

P2

Classes with intervals, never league tables

Every value carries a 90% interval from Monte Carlo analysis over normalisation, weights, imputation and aggregation. Countries are placed in risk classes with a stated class probability; pages list countries by name or code, never by value.

P3

No data is not zero

A missing input is shown as missing, an imputed input is flagged, and a value is withheld when coverage falls below the method’s minimum. An empty profile, an unavailable source and an observed zero render differently.

P4

Every value resolves to its source

Each value carries its source release, licence, retrieval time, method version and transformation chain (W3C PROV). A correction anywhere propagates to every dependent value and is logged publicly.

P5

Measured, modelled and perceived are kept apart

Status glyphs separate observed, reported, estimated, inferred, forecast, simulated, scenario and expert input. Perception signals form their own instrument and are never blended into measured risk.

P6

Systemic by construction

Standalone risk and coupling-adjusted risk are reported side by side, from typed dependency networks across trade, finance, energy, food, infrastructure and information.

P7

Licence-gated and reproducible

A source enters a public value only when its licence admits that use; withheld values are counted, not hidden. Methods, code paths, seeds and digests are published per release so any value can be recomputed.

P8

Information, not authority

NXS-GRX is research and risk-analytics information. It is not a rating, an official classification, a warning, a benchmark or advice, and it never decides for an institution.

05Lijne

The world board

Composite, coupled composite and the four pillars for the world, with change, interval, class probability and trend, and the countries that moved most.

AmûrNirxGuhertinGuhertin %90% intervalClass · probabilityMeylNavber
NXS-GRX Composite RiskNXS-GRX · CRI–––––
NXS-GRX Coupled RiskNXS-GRX · CPL–––––
Hazard and threat exposureNXS-GRX · HTE–––––
Human and systems vulnerabilityNXS-GRX · VUL–––––
Macro-financial and structural fragilityNXS-GRX · MSF–––––
Lack of coping and adaptive capacityNXS-GRX · LCC–––––
No movements yet. Changes since the previous edition are listed here from the second edition on, with the indicators that drove them.

Your watchlist

No countries on your watchlist. Add a country from its profile; the list stays in this browser.
06Pêşeng

Why a new index

Established indices each read part of risk well. None reads all of it on one grammar with uncertainty, systemic coupling, forecasts, scenarios and provenance on every value.

46
established indices compared
As of 2026-10The landscape
17
gaps no index closes yet
As of 2026-10The landscape
20
domain indices in four pillars
Çapa Bingehîn 2026Îndeksên waran
451
indicator definitions
Çapa Bingehîn 2026Nîşander
195
country sites, every province
Çapa Bingehîn 2026Welat
90%
interval on every value, 1,000 draws
Çapa Bingehîn 2026Metodolojî

The gap matrix

What established indices missWhat NXS-GRX does
  1. 01
    Valahî

    No index unifies hazard, vulnerability, conflict, macro-finance, cyber, health, food, nature and technology in one structure.

    NXS-GRX

    Twenty index domain indices in four pillars, one grammar.

    Source: the landscape, 2026-10
  2. 02
    Valahî

    Systemic and cascading risk is described, not modelled.

    NXS-GRX

    Coupling instrument: typed dependency networks, contagion models, coupled beside standalone composite.

    Source: the landscape, 2026-10
  3. 03
    Valahî

    Subnational coverage is thin and not comparable

    NXS-GRX

    ADM1, ADM2 and one H3 fabric for hazard, exposure and capacity.

    Source: the landscape, 2026-10
  4. 04
    Valahî

    Uncertainty is rarely reported; ranks are over-read

    NXS-GRX

    90% intervals, class probabilities and Sobol sensitivity on every value; no league tables.

    Source: the landscape, 2026-10
  5. 05
    Valahî

    Data lags one to three years

    NXS-GRX

    Pulse instrument: weekly nowcast over admitted event streams.

    Source: the landscape, 2026-10
  6. 06
    Valahî

    Few indices forecast or are back-tested

    NXS-GRX

    Outlook instrument with published verification scorecards

    Source: the landscape, 2026-10
All 17 gaps
  1. 07
    Valahî

    Scenario projections are rare and macro-only

    NXS-GRX

    Pathways instrument: SSP × warming level and transition families to 2030, 2050 and 2100.

    Source: the landscape, 2026-10
  2. 08
    Valahî

    Perceived and measured risk are blurred

    NXS-GRX

    Perception instrument kept separate, with a published gap.

    Source: the landscape, 2026-10
  3. 09
    Valahî

    Values rarely trace to sources, versions and licences.

    NXS-GRX

    Record-level provenance, licence gate, public correction log

    Source: the landscape, 2026-10
  4. 10
    Valahî

    Machine access is weak (PDF and spreadsheet releases)

    NXS-GRX

    API, SDMX keys, vector tiles, bulk files and versioned releases.

    Source: the landscape, 2026-10
  5. 11
    Valahî

    Licence restrictions block derived reuse

    NXS-GRX

    Per-source licence gate; withheld values counted

    Source: the landscape, 2026-10
  6. 12
    Valahî

    Coverage gaps cluster in fragile and small-island states.

    NXS-GRX

    Coverage vector per country; imputation flagged and capped.

    Source: the landscape, 2026-10
  7. 13
    Valahî

    Capacity on paper is mistaken for performance

    NXS-GRX

    Capability ladder from listed to demonstrated in real events.

    Source: the landscape, 2026-10
  8. 14
    Valahî

    Methods change and break comparability

    NXS-GRX

    Semantic versions, back-cast series, digests per release

    Source: the landscape, 2026-10
  9. 15
    Valahî

    Neglected domains: AI, space weather, biosecurity, minerals, digital infrastructure, tail risk.

    NXS-GRX

    Exponential technology and strategic systems series; Tail instrument.

    Source: the landscape, 2026-10
  10. 16
    Valahî

    No shared taxonomy across indices

    NXS-GRX

    hazards with HIPs crosswalks; indicators with 501 crosswalks to source code lists.

    Source: the landscape, 2026-10
  11. 17
    Valahî

    Means hide fat tails

    NXS-GRX

    Exceedance curves, return-period losses and expected shortfall where loss can be modelled.

    Source: the landscape, 2026-10

Families read, each with what it leaves open

Established risk and resilience indices, read for interoperability and validity checks. Names are those of their stewards and are cited for reference only; no text of any index is reproduced and no endorsement is implied.

07Çawa dixebite

Çawa dixebite

Ten journeys from the registries: source to profile, a run, provenance, correction, the composite, a country profile, a release, the instruments, a data offer and API access. Select a step to trace it. Play runs only when you press it.

Process explorer · NXS-GRX · Pipeline

From source to profile

24 steps8 stages

NXS-GRX · Pipeline

From source to profile

Source to profile · A run you follow · Provenance · Correction · Pillars and composite · Country profile · Edition release · Seven instruments · Data offer · API access.

Licensed sources become indicators, domain indices, four pillars and the composite, then country profiles, series and the API.

  1. 01 Çavkanî

    1. 01205 çavkaniyên tomarkirî
    2. 02Event streams
    3. 03Scenario families
    4. 04Surveys and elicitation
  2. 02 Lihevanîn

    1. 05Harmonised series
    2. 06Dependency network
  3. 03 Indicators

    1. 07451 nîşander
  4. 04 Sub-indices

    1. 0886 sub-indices
  5. 05 Domains

    1. 0920 domain indices
  6. 06 Stûn

    1. 10Hazard and threat exposure
    2. 11Human and systems vulnerability
    3. 12Macro-financial and structural fragility
    4. 13Lack of coping and adaptive capacity
    5. 14Systemic coupling score
  7. 07 Composite and instruments

    1. 15NXS-GRX Composite Risk
    2. 16Lêdan
    3. 17Pêşdîtin
    4. 18Rê
    5. 19Dûvik
    6. 20Perception
  8. 08 Outputs

    1. 21NXS-GRX Coupled Risk
    2. 22195 profîlên welatan
    3. 2354 series indices
    4. 24API, tiles and bulk files
08Pêkhatî

Four pillars, one composite, never alone

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.

FIG 3 · Simulator: four pillars to the composite and coupled composite
Pillars (0 to 10)
4.2
5.1
3.6
4.8
Coupling and uncertainty
0.4
0.25
0.4
–
runs in your browser
Simulator: Composite = (HTE × VUL × MSF × LCC)^¼ with each pillar floored at 0.1; Coupled = Composite × (1 + κ·S). Draws vary weights, aggregation and inputs. The positions are starting points, not NXS-GRX values. Simulated on your own inputs; not a measured result.
10Îndeks

Twenty domain indices in four pillars

Each domain index has its own page with components, indicators, aggregation and intervals. Pick a pillar.

14Xwendin

How to read NXS-GRX

Classes, not ranks

Very low0.0 to < 2.0
Low2.0 to < 3.5
Medium3.5 to < 5.0
High5.0 to < 6.5
Very high6.5 to 10.0

A class is printed with its probability (share of Monte Carlo draws inside the class). Below 60% the adjacent class is printed too (for example High, 54% · Very high, 41%).

The status of every value

GlîfRewşNavîn
●ÇAVDÊRÎKIRÎMeasured directly and published by the source
□HATIYE RAPORKIRINReported or declared by a publisher, not independently measured
◆TEXMÎNKIRÎEstimated or modelled by a stated method
▲ENCAMGIRTÎInferred from related signals
◇PÊŞBÎNÎProbabilistic statement about a future period
◈SÎMULEKIRÎOutput of a simulation or stochastic event set
○SENARYOConditional on a named scenario, not a prediction
◎EXPERT INPUTDadweriya pisporan a sazkirî

When there is no value

RewşNavîn
PUBLISHEDReleased in an edition with interval, class and sources
NO_DATANo admitted input; not a zero
INSUFFICIENT_EVIDENCECoverage below the method minimum; value withheld
WITHHELDAn input’s licence or the public-safe screen does not admit public display; counted
DEGRADEDPublished with a stated quality limitation
18Dane

Data, licences and the API

Every source is registered with its licence. Only what a licence admits reaches a public value.

205
registered sources, each with its licence
Çapa Bingehîn 2026Dane û çavkanî
115
sources the register admits for public display
Çapa Bingehîn 2026Dane û çavkanî
501
crosswalks to source code lists
Çapa Bingehîn 2026Nîşander
19Parastin û serperiştî

Three independent stewards, three lenses

The Global Centre for Risk and Innovation (GCRI) works through GCRI US in Washington, DC and GCRI Canada in Ontario. GCRI Canada leads the Nexus Consortium as Lead Institution, Consortium Secretariat and lead contracting organisation. The Global Risks Forum (GRF) and The Global Risks Alliance (GRA) keep independent mandates as consortium stewards. Technology, infrastructure and service providers act at arm’s length and have no control over institutional governance, research, publications, national priorities or customer, sovereign and community data.

Delîl û rêbaz

GCRI Canada

Evidence, methods, risk ontology, data discipline, verifiable records and correction.

Leadership and the annual programme

The Global Risks Forum

Leadership, institutional dialogue and the stewardship of Nexus Universe. It records the programme gates G0 to G7.

Amadebûna darayî

The Global Risks Alliance

Finance, insurance and development readiness. Risk evidence becomes diligence material, never an approval or a transaction.

20Rêveberî

Governance and corrections

Every value moves through recorded states. Anyone can submit a correction, and every correction is logged in public.

The life of a value

DraftComputedEvidence boundReviewedApproved for releasePublishedCorrectedSuperseded
Form

Edition and correction alerts

Notices when an edition, a vintage or a correction is published; no tracking and no other use.

  1. 01Fill inFields marked (required) are needed; everything else helps the review.
  2. 02ReferenceYou get a reference on screen; the record is kept in this site’s WordPress database.
  3. 03ReviewThe outcome is recorded in public. Contact details stay on this site and are never published or shared.
Form · grx-alerts

This form opens here once it is switched on. Until then, send it through the Nexus Reports gateway.

Built to be checked

Every value will open to its indicators, sources, method version and correction log. Read the method, try the simulators, and tell us where we are wrong.