Singapore Nexus Consortium | Asia-Pacific Regional Hub | Global Risks Forum
Singapore
APAC Hub
Strategy 2025–2030

Singapore Nexus
Asia-Pacific De-risking Consortium

Asia-Pacific's digital infrastructure powerhouse for integrated risk governance—leveraging Singapore's smart nation expertise, fintech leadership, and regional connectivity to deploy interoperable systems advancing disaster risk reduction, climate finance, and decision-grade intelligence across ASEAN and wider Indo-Pacific, positioning Asian innovation at the forefront of evidence-based resilience planning and planetary risk management.

Coverage
+15%
43+

Countries across ASEAN, Pacific, South & East Asia

Population
4.7B
60%

of global population lives in disaster-prone APAC region

Capital
+$200M
$500M+

Risk capital mobilization target by 2030

Speed
Fast
<48h

Trigger-to-cash via ISO 20022 protocols

Verified
800+
6D

Risk domains with expert verification network

Partners
+250
1K+

Organizations across governments, IFIs, and communities

Risk data: INFORM Risk Index Mid 2025 • EC JRC

FORMATION TIMELINE

Building Global Risk Infrastructure

From inception to fully operational multilateral architecture—transparent roadmap showing where we are and where we're going

2025
Inception
GRF Formation
⬤ WE ARE HERE
2026
Founding Stage
Building Partnerships
2027
Regional Deployment
Consortiums Active
2028
Pilot Programs
Testing & Validation
2030
Full Operations
Global Scale
2025
Foundation Year
2026
Current Stage
5
Year Roadmap
193
Target Members
Why Singapore Nexus

APAC Needs Next-Generation Coordination

Traditional disaster management and risk financing systems were designed for an era of isolated national hazards. With anthropogenic climate change intensifying multi-hazard scenarios, transboundary cascading risks amplifying regional vulnerabilities, and 4.7 billion people exposed to compound threats, the Asia-Pacific region requires institutional infrastructure commensurate with the velocity, complexity, and systemic interdependencies of 21st-century risk landscapes.

Legacy Systems: Too Slow

The Problem

Conventional disaster response mechanisms require protracted inter-ministerial coordination cycles spanning multiple fiscal years. Traditional indemnity insurance claims necessitate 6-12 month documentation and verification processes. By the time financial assistance reaches affected populations, livelihoods have collapsed and reconstruction windows have closed. The Asia-Pacific region experiences an estimated 10,000+ preventable fatalities annually attributable to delayed humanitarian and financial response, contravening Sendai Framework targets for mortality reduction.

Insurance Claims
6-12 months
Aid Disbursement
4-6 months
Regional Agreements
18-36 months

Singapore Nexus: Lightning Fast

The Solution

The Singapore Nexus implements parametric insurance instruments with blockchain-verified automatic trigger mechanisms, enabling disbursement within 48-72 hours of event confirmation. Integrated early warning systems provide 72+ hour advance notice, permitting anticipatory action and pre-positioning of resources. Artificial intelligence-powered risk intelligence platforms enable evidence-based preemptive measures. Distributed ledger technology creates immutable audit trails, eliminating documentation delays while maintaining fiduciary accountability and compliance with international financial standards.

Parametric Payouts
7 days
Smart Contract Release
Automatic
Early Warnings
72+ hours
Asia-Pacific Regional Hub

Singapore Nexus Consortium

A multilateral framework establishing Asia-Pacific as the global exemplar for sovereign digital infrastructure and trusted AI governance. Through federated architecture and diplomatic coordination, member states retain complete data sovereignty while accessing shared intelligence, parametric risk financing, and regional resilience mechanisms. Host countries gain strategic positioning as innovation leaders, enhanced disaster preparedness, and participation in shaping the future of digital multilateralism.

Strategic Vision & APAC Leadership

Singapore Nexus serves as the Asia-Pacific regional hub of the Global Risks Forum (GRF), functioning as a "digital sovereignty embassy" and innovation nerve center for disaster risk reduction across 10 Southeast Asia countries covering 680M+ population.

Digital Sovereignty Embassy

Singapore Nexus operates as a "digital sovereignty embassy" - a sovereign-grade digital infrastructure hub that empowers APAC nations to cooperate on data, compute, AI, and intelligence on their own terms. Unlike centralized platforms, this architecture ensures each nation retains full control over their data while benefiting from regional coordination.

Data SovereigntyNational ControlRegional CoordinationFederated Architecture

Innovation Nerve Center

As APAC's innovation nerve center, Singapore integrates cutting-edge zero-trust architectures, federated data zones, sovereign cloud enclaves, and clause-based smart licensing. The hub champions new norms for cross-border digital cooperation, from trusted data flow agreements to AI model governance aligned with OECD principles and EU AI Act provisions.

Zero Trust SecuritySmart LicensingAI GovernanceCross-Border Protocols

Technical Diplomacy Steward

GRF functions as the steward of "technical diplomacy" for sovereign digital cooperation - a global virtual embassy for digital sovereignty. It provides neutral diplomatic venue where governments, regulators, and industry negotiate shared schemas for data and AI, ensuring "every national deployment strengthens the shared commons rather than creating silos."

Multilateral ConveningStandards HarmonizationTrust FederationNeutral Venue
Community Governance

APAC Regional Priorities

⚠️ ILLUSTRATIVE DEMONSTRATION — Quadratic Voting and Quadratic Funding mechanisms will become available soon for member states and verified stakeholders. Vote on priority risks and fund shared interventions through plural funding mechanisms (Quadratic Voting & Quadratic Funding) that democratically allocate resources across DRR, DRF, and DRI pools for an all-hazard, all-of-society approach.

Your Voice Credits: 99
Your Fund Balance: $10,000
CRITICAL

Typhoon & Cyclone Risk

Natural Disasters • Pacific Region

20+
Category 4-5 storms annually
300M+ people • $50B annual loss
Target Countries:
🇵🇭 Philippines🇻🇳 Vietnam🇯🇵 Japan🇹🇼 Taiwan🇨🇳 China🇰🇷 S. Korea

Intervention Objectives

DRR
Risk Reduction: Deploy 72-hour early warning systems with AI forecasting across 6 nations. Install 500+ IoT weather sensors in typhoon corridors.
DRF
Risk Finance: Establish $8B parametric insurance pool with automatic payouts triggered at 150kph wind speeds. 24-hour disbursement for reconstruction.
DRI
Risk Intelligence: Integrate 15+ satellite feeds (NOAA, JMA, CMA) into unified typhoon tracking dashboard accessible to all member states in real-time.
Quadratic Voting
Your votes: 3 (9 credits)
2,847 community votes87% priority
3
9 credits
Quadratic Funding
You: $250
Community Contributions$1.2M
Matched Funding (3.2x)$3.8M
Total Raised
$5.0M
of $8B goal • 1,847 contributors
Contributing $100 → Matched to $320 (3.2x multiplier)
CRITICAL

Seismic & Tsunami Risk

Geophysical • Ring of Fire

90%
M8+ probability in 30 years
230K deaths (2004) • 452 volcanoes
Target Countries:
🇮🇩 Indonesia🇯🇵 Japan🇵🇭 Philippines🇵🇬 Papua N.G.🇳🇿 New Zealand🇫🇯 Fiji

Intervention Objectives

DRR
Risk Reduction: Build 15-minute tsunami alert capability with 800+ real-time seismic sensors across Pacific subduction zones. Integrate with InaTEWS and Japan Meteorological Agency.
DRF
Risk Finance: Create $2.5B catastrophe bond pool with magnitude-triggered instant disbursement. Parametric insurance for 6 Ring of Fire nations covering M7+ events.
DRI
Risk Intelligence: Deploy unified network monitoring 452 active volcanoes with AI eruption prediction models. Real-time ground deformation and gas emission tracking.
Quadratic Voting
Your votes: 5 (25 credits)
2,641 community votes82% priority
5
25 credits
Quadratic Funding
You: $500
Community Contributions$890K
Matched Funding (3.5x)$3.1M
Total Raised
$4.0M
of $2.5B goal • 2,156 contributors
Contributing $100 → Matched to $350 (3.5x multiplier)
CRITICAL

Monsoon & Flood Risk

Hydrological • Urban Flooding

100M+
People affected annually
3B at risk • $30B annual loss
Target Countries:
🇧🇩 Bangladesh🇮🇳 India🇵🇰 Pakistan🇹🇭 Thailand🇲🇲 Myanmar🇻🇳 Vietnam

Intervention Objectives

DRR
Risk Reduction: Deploy 48-hour flood forecasting across 15 major river basins. Install 200+ river gauges in Ganges, Brahmaputra, Mekong, Irrawaddy systems with real-time monitoring.
DRF
Risk Finance: Establish $1.2B flood insurance pool for 6 nations. Parametric triggers based on rainfall thresholds and water levels for rapid post-flood reconstruction funding.
DRI
Risk Intelligence: Satellite-based flood mapping with 10m resolution. Integrate weather models (IMD, JMA, PAGASA) with hydrological models for urban flood prediction in megacities.
Quadratic Voting
Your votes: 4 (16 credits)
2,489 community votes79% priority
4
16 credits
Quadratic Funding
You: $150
Community Contributions$740K
Matched Funding (2.9x)$2.1M
Total Raised
$2.9M
of $1.2B goal • 1,923 contributors
Contributing $100 → Matched to $290 (2.9x multiplier)
HIGH

Pandemic & Health Security

Biological • Infectious Disease

60%
Global diseases from APAC
1.8M COVID deaths • 4.5B population
Target Countries:
🇹🇭 Thailand🇻🇳 Vietnam🇸🇬 Singapore🇲🇾 Malaysia🇮🇩 Indonesia🇮🇳 India

Intervention Objectives

DRR
Risk Reduction: 24/7 cross-border disease surveillance network with 22 WHO reference labs. AI-powered pathogen detection in zoonotic hotspots with 48-hour genomic sequencing.
DRF
Risk Finance: $500M pandemic preparedness fund for rapid vaccine procurement and distribution. Emergency response financing for lockdown support and healthcare surge capacity.
DRI
Risk Intelligence: Real-time genomic sequencing network tracking viral evolution. Integrate wildlife markets monitoring with hospital syndromic surveillance for early outbreak detection.
Quadratic Voting
Your votes: 2 (4 credits)
1,923 community votes68% priority
2
4 credits
Quadratic Funding
You: $100
Community Contributions$620K
Matched Funding (2.6x)$1.6M
Total Raised
$2.2M
of $500M goal • 1,423 contributors
Contributing $100 → Matched to $260 (2.6x multiplier)
HIGH

Sea Level Rise & Migration

Displacement • Climate Refugees

40M+
Climate migrants by 2050
12M Pacific islanders • 1m sea rise
Target Countries:
🇲🇻 Maldives🇹🇻 Tuvalu🇰🇮 Kiribati🇲🇭 Marshall Is.🇧🇩 Bangladesh🇫🇯 Fiji

Intervention Objectives

DRR
Risk Reduction: Develop 8 comprehensive relocation plans for Pacific island nations. Negotiate migration pathways and host agreements with Australia, New Zealand, and regional partners.
DRF
Risk Finance: Establish $1.5B climate migration fund for resettlement costs, land acquisition, housing, and livelihood support. Loss & damage compensation for submerged territories.
DRI
Risk Intelligence: Deploy 30 tide gauges across Pacific for real-time sea level monitoring. Satellite altimetry tracking coastal erosion and land loss with annual reporting.
Quadratic Voting
Your votes: 1 (1 credit)
1,456 community votes54% priority
1
1 credit
Quadratic Funding
You: $50
Community Contributions$380K
Matched Funding (2.1x)$800K
Total Raised
$1.2M
of $1.5B goal • 892 contributors
Contributing $100 → Matched to $210 (2.1x multiplier)
HIGH

Food & Water Security

Agricultural • Resource Scarcity

50%
Global rice production at risk
400M at risk • -30% yield by 2050
Target Countries:
🇰🇭 Cambodia🇱🇦 Laos🇲🇲 Myanmar🇧🇩 Bangladesh🇳🇵 Nepal🇵🇰 Pakistan

Intervention Objectives

DRR
Risk Reduction: Deploy 20 climate-resilient crop varieties (drought-tolerant rice, heat-resistant wheat). Sustainable irrigation systems for 2M hectares in vulnerable regions.
DRF
Risk Finance: $800M crop insurance pool covering 6 nations. Index-based insurance with rainfall/NDVI triggers for rapid payout during crop failures protecting 5M smallholder farmers.
DRI
Risk Intelligence: 50+ agricultural satellites providing soil moisture, crop health (NDVI), and yield forecasting. Early warning system for droughts and pest outbreaks with mobile alerts to farmers.
Quadratic Voting
Your votes: 1 (1 credit)
1,278 community votes48% priority
1
1 credit
Quadratic Funding
You: $50
Community Contributions$290K
Matched Funding (1.8x)$520K
Total Raised
$810K
of $800M goal • 634 contributors
Contributing $100 → Matched to $180 (1.8x multiplier)
Credentialed Subject Matter Expert Network

Integrated Nexus Platforms

Interactive marketplace aggregator delivering 36+ professional enterprise opportunities across Research, Capital, Policy, Innovation, Foresight, and Diplomacy platforms—targeting the quintuple helix of Academia, Government, Industry, Civil Society, and Media.

Capital Platform

Decentralized finance infrastructure for parametric insurance, catastrophe bonds, and anticipatory action financing. Automated payouts via smart contracts triggered by verified IoT sensors and satellite data with <24hr settlement.

Parametric Insurance

Index-based insurance with automatic payouts when pre-defined parameters are met (earthquake magnitude >6.0, rainfall <50mm/month drought index, wind speed >120km/h, river discharge >5000 m³/s). No claims process—triggers verified by Chainlink oracles pulling from JMA (Japan Meteorological Agency), BOM (Australia), BMKG (Indonesia), IMD (India), and ASEAN Specialised Meteorological Centre IoT sensors.

For Governments: Instant liquidity post-disaster, no lengthy claims adjudication or paperwork

Chainlink OraclesIoT SensorsSatellite Data (NOAA)Smart Contract TriggersAutomatic Payouts

Catastrophe Bonds

Tokenized catastrophe bonds (ERC-1400 security tokens) with automated risk tranching (AAA to B-rated) and secondary market liquidity via MAS-supervised DEXs. Investors earn yield; capital released on qualifying disasters. MAS regulatory framework via collective investment schemes framework and Singapore Variable Capital Companies Act 2018.

For Investors: Uncorrelated returns (potential for yield generation), portfolio diversification, social impact

ERC-1400 (Security Tokens)Risk TranchingDEX LiquidityRegulatory Framework (Conceptual)Yield potential for yield generation

Quadratic Funding

Democratic capital allocation mechanism where matching pool amplifies small donations more than large ones (Gitcoin-style). Prevents plutocracy: $number_of_contributors matters more than $total_raised. Sybil resistance via BrightID and Proof of Humanity.

For Communities: Grassroots projects get funding proportional to community support, not whale donations

Quadratic MatchingSybil Resistance (BrightID)Proof of HumanityDemocratic AllocationGitcoin Grants Model

Collective Risk Pools

Mutual insurance pools governed by token holders (Nexus Mutual model). Members stake capital, underwrite risks, and share premiums/losses. Smart contract governance for claims approval with multi-sig override for edge cases.

For Participants: Earn underwriting fees, govern pool parameters, benefit from collective bargaining power

Token GovernanceMutual Insurance ModelClaims VotingMulti-Sig SafetyPremium Sharing

Anticipatory Action Financing

Pre-positioned capital released automatically when early warning indicators reach thresholds (70% drought probability triggers water distribution funds). Based on IFRC Forecast-based Financing methodology with smart contract automation.

For Humanitarian Orgs: Act before disasters strike—evacuate populations, pre-position supplies, fortify infrastructure

Forecast-Based FinancingPredictive TriggersPre-Positioned CapitalIFRC MethodologyEarly Action Protocols

Treasury Management & Audit

Multi-signature wallets (Gnosis Safe) with on-chain transparent audit trails. Diversified portfolio management (60% stablecoins, 30% DeFi yield, 10% BTC/ETH) optimized via Yearn-style strategies. All transactions cryptographically verifiable.

For Donors/Investors: Real-time transparency—every dollar tracked, every yield verified, zero opacity

Gnosis Safe Multi-SigPortfolio DiversificationDeFi Yield OptimizationAudit Trail (on-chain)Transparency Dashboard
Nexus Ecosystem Architecture

Platform Infrastructure Deployment

Complete Nexus Ecosystem (NXS) with 8 core modules for disaster risk reduction (DRR), risk financing (DRF), and decision intelligence (DRI). Deploy instantly with enterprise-grade infrastructure and open-source transparency.

Core NXS Modules

NXS-Core

HPC/GPU Risk-Simulation Engine

DRRDRI
Production Ready

High-performance computing engine for quantitative risk modeling and simulation. Leverages CUDA acceleration and quantum-ready compute infrastructure for complex disaster risk scenarios and probabilistic analysis.

CUDA
HPC Clusters
GPU Acceleration
Quantum-Ready
Monte Carlo
CUDA-Accelerated Risk Modeling
Quantum-Ready Compute Infrastructure
Large-Scale Probabilistic Simulations
Multi-Hazard Quantitative Analysis

NXS-Que

Cloud Orchestration & Automation

DRF
Production Ready

Enterprise-grade cloud orchestration and automation for global deployments. Kubernetes-native with serverless capabilities and blockchain audit trails for transparent, scalable infrastructure management.

Kubernetes
Serverless
Blockchain Audit
Terraform
Multi-Cloud
Kubernetes-Native Orchestration
Serverless Auto-Scaling (AWS Lambda/GCP Functions)
Blockchain Audit Trail & Provenance
Multi-Cloud Deployment (AWS/GCP/Azure)

NXS-GRIx

Global Risk Index & Data Standardization

DRI
Production Ready

Comprehensive global risk indexing with GIS/EO data fusion and AI-powered ETL benchmarks. Standardizes risk data across sources for decision-grade intelligence and interoperable analytics.

GIS/EO Fusion
AI-ETL
PostGIS
Benchmarking
Data Standards
GIS/EO Data Fusion (Sentinel/Landsat/Planet)
AI-Powered ETL Pipelines & Benchmarks
Global Risk Index Computation
Standardized Risk Data Exchange (UNDRR/IFRC)

NXS-EOP

Simulation & Analytics Platform

DRRDRF
Production Ready

Advanced scenario forecasting with Bayesian networks, copula models, and reinforcement learning. Enables probabilistic risk analysis and adaptive decision-making for disaster risk reduction and financing.

Bayesian Networks
Copula Models
Reinforcement Learning
PyMC3
TensorFlow
Bayesian Network Risk Modeling
Copula-Based Dependency Modeling
Reinforcement Learning for Adaptive Policies
Scenario Forecasting & What-If Analysis

NXS-EWS

Multi-Sensor Early Warning System

DRR
Production Ready

Real-time multi-hazard early warning with IoT sensors, satellite data, and adaptive AI. Provides timely alerts for disaster risk reduction with automated dissemination and trigger protocols.

IoT Sensors
Satellite Data
Adaptive AI
CAP Protocol
Real-Time Stream
IoT Sensor Network Integration (15+ hazard types)
Satellite Early Warning (NOAA/ESA/JAXA)
Adaptive AI Alert Refinement
Multi-Channel Alert Dissemination (CAP/SMS/Push)

NXS-AAP

Anticipatory Action & Parametric Finance

DRF
Production Ready

Automated anticipatory action with smart contracts and oracle integration for parametric insurance and financing. Enables rapid disbursement based on pre-defined triggers and real-time risk data.

Smart Contracts
Oracles
Solidity
Chainlink
Parametric
Smart Contract Execution (Solidity/Vyper)
Oracle Integration (Chainlink/UMA)
Parametric Trigger-Based Disbursement
Automated Anticipatory Action Playbooks

NXS-DSS

Decision Support Dashboards

DRI
Production Ready

Policy and governance intelligence with explainable AI, business intelligence, and geo-visualization. Provides decision-makers with actionable insights and transparent recommendations.

Explainable AI
Business Intelligence
Geo-Visualization
SHAP
D3.js
Explainable AI (SHAP/LIME/Attention)
Business Intelligence Dashboards (Power BI/Tableau)
Geospatial Visualization & Analysis
Policy Scenario Comparison & Recommendations

NXS-NSF

Standards & Compliance Framework

DRF
Production Ready

Legal and financial integration framework with Web3 registries and ISO/IFRS mapping. Ensures compliance, standardization, and interoperability across financial and regulatory systems.

Web3 Registry
ISO/IFRS
OpenAPI
JSON Schema
SBOM
Web3 Standards Registry (ERC-721/ERC-1155)
ISO/IFRS Financial Mapping
Compliance Automation & Reporting
Legal-Financial Integration Framework

Cross-Cutting Technical Layers

Nexus Registry

Public Ledger of Datasets, Models & Clauses

Production Ready

Public blockchain-based registry ensuring versioning, open-data integrity, and API interoperability across all NXS modules under GCRI custodianship. Provides immutable audit trail and provenance tracking.

Blockchain Ledger
IPFS
Semantic Versioning
Merkle Trees
GCRI Custodianship
Version-Controlled Dataset/Model Registry
Open-Data Integrity & Provenance
API Interoperability (OpenAPI/GraphQL)
GCRI-Governed Custodianship

Nexus Passport

Identity & Zero-Trust Access

Production Ready

Decentralized identity with DID/VC credentials, OAuth/OIDC/ABAC, ledger-anchored attestations, and DAO-governed permissions. ML-driven adaptive risk scoring with offline/hybrid/inter-chain capabilities and zero-knowledge verification.

DID/VC
OAuth/OIDC
ABAC
ZK Proofs
DAO Governance
DID/VC Decentralized Credentials
Ledger-Anchored Attestations & DAO Permissions
ML-Driven Adaptive Risk Scoring
ZK Verification (No Raw PII Shared)

N-DIPA

Data Infrastructure Platform Architecture

Production Ready

Multi-tier zero-trust data stack: Edge (IoT/EO with TEEs) → Federation (FL/SMPC) → Verification (ZKPs, signatures) → Ledger (Merkle-audited) → Access (Passport/ABAC). Air-gapped, sandboxed, and fully auditable.

TEE Enclaves
Federated Learning
SMPC
ZKP
Merkle Audit
Edge Tier: IoT/EO with TEE Enclaves
Federation: FL/SMPC Privacy-Preserving Compute
Verification: ZKPs & Digital Signatures
Ledger: Merkle-Audited Immutable Records

Treasury & Execution Rails

NTG, PITs, SPCs & Automated Disbursement

Production Ready

Nexus Treasury Grid (NTG) federated ledger with Proof-of-Integrity Tokens (PITs) for audit and Smart Program Contracts (SPCs) on Nexus Ledger. Direct NXS-EWS → NXS-AAP integration for streamlined disbursements.

NTG Ledger
PITs
SPCs
Auto-Disbursement
Multi-Sig
Nexus Treasury Grid (NTG) Federated Ledger
Proof-of-Integrity Tokens (PITs) for Audit
Smart Program Contracts (SPCs) Execution
NXS-EWS → NXS-AAP Trigger Disbursements

Complete Platform Deployment

Frequently Asked Questions

Implementation Guide

Common questions from developers and national agencies about Singapore Nexus deployment and integration

For Developers

What technology stack is Singapore Nexus built on?

Core Stack: Kubernetes (v1.28+), Docker, PostgreSQL, Redis, RabbitMQ. Backend: Ruby on Rails (API modules), Python (AI/ML services), Node.js (real-time services). Frontend: React, TypeScript, Vite. Blockchain: Solidity smart contracts on EVM-compatible chains. Infrastructure: Multi-cloud (AWS/Azure/GCP) with Terraform IaC.

How do I deploy a Sovereign Data Zone (SDZ) locally?

Quick Start: Clone the NXS repository, run docker-compose up for local development. Production: Use Helm charts for Kubernetes deployment: helm install nxs-core ./helm/nxs-core. All configuration via environment variables for data residency, encryption keys, and API endpoints. Full documentation at docs/deployment/sdz-setup.md.

Is the source code truly open-source? What's the license?

License: Apache 2.0 - fully permissive, allows commercial use, modification, distribution, and private use. Repository: Public GitHub under GCRI organization. No Vendor Lock-in: You own your deployment, can fork the codebase, and modify as needed. Contribution: Open to community PRs with CLA (Contributor License Agreement).

How does cross-border data sharing work without exposing raw data?

Federated Learning: AI models travel to where data resides (compute-to-data). Only model weights or aggregated insights are shared. Secure Multi-Party Computation (MPC): Used for joint analytics without exposing individual datasets. Differential Privacy: Noise injection ensures no individual records can be reverse-engineered. Zero-Knowledge Proofs: For verification without revealing underlying data.

What APIs are available for integration with national systems?

REST APIs: For data ingestion, alert retrieval, model registration. GraphQL API: For flexible querying of risk intelligence. WebSocket/SSE: For real-time event streaming. Standards: CAP (Common Alerting Protocol) for disaster alerts, STIX/TAXII for threat intelligence, FHIR for health data. Authentication: OAuth 2.0, mTLS for machine-to-machine, API keys for development.

How do I contribute AI models to the Nexus Model Registry?

Process: 1) Package model with metadata (ONNX/TensorFlow SavedModel format). 2) Submit via Model Registry API with provenance (training data, validation metrics). 3) PNG validators review and test model. 4) Upon approval, model receives cryptographic signature and is published. Requirements: Model card documentation, safety case, bias audit, explainability metrics. Licensing: Use ClauseCommons templates for usage rights.

For National Agencies

How is data sovereignty legally guaranteed?

Legal Framework: Bilateral Data Sharing Agreements (DSA) signed with each country, subject to your national law. Technical: All data resides in your jurisdiction (on-premises or sovereign cloud). Audit Rights: Full access logs, right to inspect, revoke access anytime. Compliance: GDPR, PDPA, AADMER compliant. Exit Clause: You can disconnect from network without data loss.

What is the cost to become a host country?

Contribution: Scaled by GDP tier: Large (>$500B) $2M/yr, Medium ($100-500B) $1M/yr, Small (<$100B) $500K/yr, LDCs $100K/yr. Included: Software licenses, regional hub access, training (50-100 officials), technical support. Infrastructure: You provide local servers/cloud (~$200-500K/yr depending on scale). ROI: 4-7x return through disaster loss reduction.

How long does deployment take from MoU to operational?

Timeline: 6-9 months for full deployment. Phase 1 (Month 1-2): MoU signing, legal framework, data classification. Phase 2 (Month 3-5): Infrastructure setup, SDZ deployment, integration with national systems (meteorology, disaster agencies). Phase 3 (Month 6-9): Training, testing, live pilot with non-critical data, full production. Fast Track: 3-4 months possible with pre-existing infrastructure.

How do parametric insurance payouts work in practice?

Trigger Setup: Define disaster thresholds (e.g., wind speed >150 km/h, rainfall >200mm/24h, earthquake >6.0 magnitude). Monitoring: Nexus monitors real-time data from satellites, sensors. Validation: When threshold met, PNG validators confirm data quality. Payout: Smart contract auto-releases funds from escrow to designated government account within 7 days. No Claims Process: Eliminates paperwork and delays.

What training and capacity building is provided?

Technical Training: 5-day intensive for IT teams on SDZ deployment, Kubernetes ops, API integration. Policy Workshops: 2-day sessions for policymakers on governance, data sharing agreements, legal frameworks. Disaster Management: 3-day training for disaster agencies on EWS usage, AAP activation, CAP alerts. Ongoing Support: 24/7 helpdesk, quarterly refresher training, online learning portal. Certification: NXS Certified Administrator program.

How is Singapore Nexus governed? Who makes decisions?

Structure: Multi-stakeholder governance with 4 pillars: GRF (diplomacy), GRA (finance), GCRI (technology), NSF (standards). Regional Council: Each host country has 1 seat on APAC Regional Council (annual meetings). Voting: Major decisions require supermajority (2/3). Transparency: All governance docs public, financial audits annual. Independence: No single country or corporation controls the network. Dispute Resolution: Mediation via UNESCAP if needed.

Government Decision Framework

Why Governments Join

De-risk Asia-Pacific portfolios through open-source multilateral architecture for exponential risks—regional to local scale across 43+ countries

01 / ECONOMIC

Portfolio De-Risking & Foreign Investment

Technical infrastructure reducing systematic risks across national and regional portfolios

ANNUAL LOSSES
$200B+
Unmanaged disaster risk
INVESTMENT FLIGHT
40-60%
Post-disaster capital exit
NEXUS INFRASTRUCTURE
→ ASEAN + APEC cross-regional intelligence
→ Multi-currency parametric instruments (SGD/USD/CNY)
→ Pacific Islands climate adaptation financing
→ Regional supply chain risk optimization
02 / CAPACITY

Skills, Literacy & Credentialing

National ecosystem development through open-source education and verified credentials

RISK MANAGEMENT TRAINING
Multilingual training (English + 6 ASEAN languages)
PUBLIC LITERACY PROGRAMS
APEC capacity building + regional mobility
VERIFIED CREDENTIALS
ASEAN Qualifications Reference Framework credentials
KNOWLEDGE TRANSFER

Full code access enables domestic technical capacity building + university research integration without vendor dependency

03 / INNOVATION

IP Development & Ecosystem Growth

Permissionless innovation fostering national tech ecosystems and IP generation

LOCAL STARTUPS
Build on open APIs
IP RETENTION
100%
National ownership
ECOSYSTEM BENEFITS
→ ASEAN Smart Cities Network integration
→ Regional innovation corridors (Singapore-Beijing-Tokyo)
→ RCEP + CPTPP interoperability standards
→ Singapore IP Hub + regional protection
CORE FRAMEWORK

Full-Spectrum De-Risking Infrastructure

Singapore Nexus provides Asia-Pacific multilateral architecture covering 43+ countries and 60% of global population—enabling governments to de-risk portfolios, attract investment, build capacity, and develop ecosystems across the world's most disaster-prone region.

DE-RISKING DOMAINS
FISCAL
Disaster losses, budget volatility, debt risk
INVESTMENT
FDI confidence, capital flight, market access
CAPACITY
Skills gaps, literacy, workforce mobility
SOVEREIGNTY
Data control, IP ownership, tech autonomy
MULTILATERAL COORDINATION

GRF Complements—Not Competes With—Existing Multilateral System

Neutral technical infrastructure provider coordinating with UNDRR, UNDP, WHO, World Bank, and ASEAN, APEC. GRF provides the protocols and standards; existing agencies remain primary responders and coordinators.

193
UN Member States
10 ASEAN
Southeast Asia Coverage
15+
UN Agency Partners
100%
Sovereignty Preserved
COMPETITIVE NEUTRALITY

GRF Doesn't Compete—We Certify, Standardize, and Connect

Like Linux Foundation for software or W3C for web standards—GRF provides protocols and certification, not products. Your proprietary technology remains yours; our open standards ensure interoperability.

Enterprise Partnership Framework

Why Enterprises Join

From multinational corporations to local SMEs—participate in shaping standards, accessing procurement, and building reputation through ecosystem leadership

01 / MARKET ACCESS

Procurement & IP Protection

Certified vendor directory, multi-government contracts, and clear IP licensing

ENTERPRISE BENEFITS
→ Certified Vendor Directory
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Influence Protocols

Shape technical standards ensuring your products remain compatible

PARTICIPATION
→ Technical Steering seats
→ Working group leadership
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03 / REPUTATION

Ecosystem Leadership

Build brand through open-source leadership and global case studies

VISIBILITY
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Network Architecture

National Nodes

Distributed network architecture with 44 sovereign computational nodes coordinated by Singapore Nexus. Real-time risk intelligence powered by INFORM RISK Index 2025.

EXTREME
VERY HIGH
HIGH
MEDIUM
LOW
China
China
CN
INFORM RISK 2025
3.8 /10
MEDIUM RISK
Hazard 4.5
Vulnerability 3.2
Capacity Gap 2.5
POPULATION
1.4B
GDP/CAPITA
$12,500
REGION
East Asia
AFFECTED 2024
45.0M
NEXUS NODE
Japan
Japan
JP
INFORM RISK 2025
3.2 /10
MEDIUM RISK
Hazard 5.8
Vulnerability 1.8
Capacity Gap 1.5
POPULATION
125M
GDP/CAPITA
$40,500
REGION
East Asia
AFFECTED 2024
2.5M
NEXUS NODE
North Korea
North Korea
KP
INFORM RISK 2025
6.8 /10
VERY HIGH RISK
Hazard 4.2
Vulnerability 7.5
Capacity Gap 8.2
POPULATION
26M
GDP/CAPITA
$1,300
REGION
East Asia
AFFECTED 2024
8.5M
NEXUS NODE
South Korea
South Korea
KR
INFORM RISK 2025
2.6 /10
MEDIUM RISK
Hazard 3.5
Vulnerability 2.1
Capacity Gap 1.8
POPULATION
52M
GDP/CAPITA
$35,000
REGION
East Asia
AFFECTED 2024
1.2M
NEXUS NODE
Mongolia
Mongolia
MN
INFORM RISK 2025
4.5 /10
HIGH RISK
Hazard 4.8
Vulnerability 4.5
Capacity Gap 4.2
POPULATION
3.4M
GDP/CAPITA
$4,500
REGION
East Asia
AFFECTED 2024
0.8M
NEXUS NODE
Taiwan
Taiwan
TW
INFORM RISK 2025
3.4 /10
MEDIUM RISK
Hazard 5.2
Vulnerability 2.3
Capacity Gap 2.0
POPULATION
24M
GDP/CAPITA
$33,000
REGION
East Asia
AFFECTED 2024
1.8M
NEXUS NODE
Brunei
Brunei
BN
INFORM RISK 2025
2.8 /10
MEDIUM RISK
Hazard 3.2
Vulnerability 2.5
Capacity Gap 2.1
POPULATION
450K
GDP/CAPITA
$32,000
REGION
Southeast Asia
AFFECTED 2024
0.0M
NEXUS NODE
Cambodia
Cambodia
KH
INFORM RISK 2025
5.2 /10
HIGH RISK
Hazard 4.8
Vulnerability 5.8
Capacity Gap 5.5
POPULATION
17M
GDP/CAPITA
$1,650
REGION
Southeast Asia
AFFECTED 2024
5.5M
NEXUS NODE
Indonesia
Indonesia
ID
INFORM RISK 2025
5.8 /10
VERY HIGH RISK
Hazard 6.5
Vulnerability 5.2
Capacity Gap 4.8
POPULATION
277M
GDP/CAPITA
$4,300
REGION
Southeast Asia
AFFECTED 2024
32.0M
NEXUS NODE
Laos
Laos
LA
INFORM RISK 2025
5.5 /10
VERY HIGH RISK
Hazard 5.2
Vulnerability 5.9
Capacity Gap 5.6
POPULATION
7.5M
GDP/CAPITA
$2,500
REGION
Southeast Asia
AFFECTED 2024
2.8M
NEXUS NODE
Malaysia
Malaysia
MY
INFORM RISK 2025
3.5 /10
MEDIUM RISK
Hazard 4.2
Vulnerability 3.1
Capacity Gap 2.8
POPULATION
33M
GDP/CAPITA
$11,400
REGION
Southeast Asia
AFFECTED 2024
2.2M
NEXUS NODE
Myanmar
Myanmar
MM
INFORM RISK 2025
6.5 /10
VERY HIGH RISK
Hazard 5.8
Vulnerability 7.2
Capacity Gap 6.8
POPULATION
55M
GDP/CAPITA
$1,400
REGION
Southeast Asia
AFFECTED 2024
18.5M
NEXUS NODE
Philippines
Philippines
PH
INFORM RISK 2025
6.2 /10
VERY HIGH RISK
Hazard 7.2
Vulnerability 5.8
Capacity Gap 5.2
POPULATION
115M
GDP/CAPITA
$3,500
REGION
Southeast Asia
AFFECTED 2024
28.0M
NEXUS NODE
Singapore
Singapore
SG
INFORM RISK 2025
1.8 /10
LOW RISK
Hazard 2.5
Vulnerability 1.5
Capacity Gap 1.2
POPULATION
5.9M
GDP/CAPITA
$72,000
REGION
Southeast Asia
AFFECTED 2024
0.0M
NEXUS NODE
Thailand
Thailand
TH
INFORM RISK 2025
4.8 /10
HIGH RISK
Hazard 5.5
Vulnerability 4.5
Capacity Gap 4.0
POPULATION
70M
GDP/CAPITA
$7,200
REGION
Southeast Asia
AFFECTED 2024
12.5M
NEXUS NODE
Timor-Leste
Timor-Leste
TL
INFORM RISK 2025
5.8 /10
VERY HIGH RISK
Hazard 5.5
Vulnerability 6.5
Capacity Gap 6.2
POPULATION
1.3M
GDP/CAPITA
$1,600
REGION
Southeast Asia
AFFECTED 2024
0.5M
NEXUS NODE
Vietnam
Vietnam
VN
INFORM RISK 2025
5.0 /10
HIGH RISK
Hazard 5.8
Vulnerability 4.8
Capacity Gap 4.2
POPULATION
98M
GDP/CAPITA
$4,100
REGION
Southeast Asia
AFFECTED 2024
18.0M
NEXUS NODE
Afghanistan
Afghanistan
AF
INFORM RISK 2025
7.7 /10
EXTREME RISK
Hazard 7.5
Vulnerability 8.2
Capacity Gap 7.4
POPULATION
40M
GDP/CAPITA
$500
REGION
South Asia
AFFECTED 2024
22.0M
NEXUS NODE
Bangladesh
Bangladesh
BD
INFORM RISK 2025
6.8 /10
VERY HIGH RISK
Hazard 7.5
Vulnerability 6.8
Capacity Gap 6.2
POPULATION
170M
GDP/CAPITA
$2,500
REGION
South Asia
AFFECTED 2024
45.0M
NEXUS NODE
Bhutan
Bhutan
BT
INFORM RISK 2025
4.2 /10
HIGH RISK
Hazard 5.2
Vulnerability 3.8
Capacity Gap 3.5
POPULATION
780K
GDP/CAPITA
$3,500
REGION
South Asia
AFFECTED 2024
0.1M
NEXUS NODE
India
India
IN
INFORM RISK 2025
5.5 /10
VERY HIGH RISK
Hazard 6.2
Vulnerability 5.2
Capacity Gap 4.8
POPULATION
1.4B
GDP/CAPITA
$2,400
REGION
South Asia
AFFECTED 2024
185.0M
NEXUS NODE
Maldives
Maldives
MV
INFORM RISK 2025
4.5 /10
HIGH RISK
Hazard 5.8
Vulnerability 3.8
Capacity Gap 3.5
POPULATION
540K
GDP/CAPITA
$11,000
REGION
South Asia
AFFECTED 2024
0.1M
NEXUS NODE
Nepal
Nepal
NP
INFORM RISK 2025
6.2 /10
VERY HIGH RISK
Hazard 6.8
Vulnerability 6.0
Capacity Gap 5.5
POPULATION
30M
GDP/CAPITA
$1,200
REGION
South Asia
AFFECTED 2024
12.0M
NEXUS NODE
Pakistan
Pakistan
PK
INFORM RISK 2025
6.5 /10
VERY HIGH RISK
Hazard 6.8
Vulnerability 6.5
Capacity Gap 6.0
POPULATION
230M
GDP/CAPITA
$1,500
REGION
South Asia
AFFECTED 2024
85.0M
NEXUS NODE
Sri Lanka
Sri Lanka
LK
INFORM RISK 2025
4.8 /10
HIGH RISK
Hazard 5.2
Vulnerability 4.8
Capacity Gap 4.2
POPULATION
22M
GDP/CAPITA
$3,800
REGION
South Asia
AFFECTED 2024
5.5M
NEXUS NODE
Kazakhstan
Kazakhstan
KZ
INFORM RISK 2025
3.8 /10
MEDIUM RISK
Hazard 4.2
Vulnerability 3.8
Capacity Gap 3.5
POPULATION
19M
GDP/CAPITA
$9,800
REGION
Central Asia
AFFECTED 2024
2.2M
NEXUS NODE
Kyrgyzstan
Kyrgyzstan
KG
INFORM RISK 2025
5.2 /10
HIGH RISK
Hazard 5.8
Vulnerability 5.0
Capacity Gap 4.8
POPULATION
6.7M
GDP/CAPITA
$1,300
REGION
Central Asia
AFFECTED 2024
1.8M
NEXUS NODE
Tajikistan
Tajikistan
TJ
INFORM RISK 2025
5.8 /10
VERY HIGH RISK
Hazard 6.2
Vulnerability 5.8
Capacity Gap 5.5
POPULATION
9.8M
GDP/CAPITA
$900
REGION
Central Asia
AFFECTED 2024
3.2M
NEXUS NODE
Turkmenistan
Turkmenistan
TM
INFORM RISK 2025
4.5 /10
HIGH RISK
Hazard 5.0
Vulnerability 4.5
Capacity Gap 4.2
POPULATION
6.3M
GDP/CAPITA
$7,500
REGION
Central Asia
AFFECTED 2024
1.2M
NEXUS NODE
Uzbekistan
Uzbekistan
UZ
INFORM RISK 2025
4.8 /10
HIGH RISK
Hazard 5.2
Vulnerability 4.8
Capacity Gap 4.5
POPULATION
35M
GDP/CAPITA
$1,800
REGION
Central Asia
AFFECTED 2024
8.5M
NEXUS NODE
Australia
Australia
AU
INFORM RISK 2025
2.4 /10
LOW RISK
Hazard 4.8
Vulnerability 1.5
Capacity Gap 1.2
POPULATION
26M
GDP/CAPITA
$62,000
REGION
Pacific
AFFECTED 2024
0.8M
NEXUS NODE
Fiji
Fiji
FJ
INFORM RISK 2025
5.5 /10
VERY HIGH RISK
Hazard 7.2
Vulnerability 4.8
Capacity Gap 4.2
POPULATION
920K
GDP/CAPITA
$6,000
REGION
Pacific
AFFECTED 2024
0.2M
NEXUS NODE
Kiribati
Kiribati
KI
INFORM RISK 2025
5.8 /10
VERY HIGH RISK
Hazard 6.8
Vulnerability 5.5
Capacity Gap 5.2
POPULATION
130K
GDP/CAPITA
$1,900
REGION
Pacific
AFFECTED 2024
0.0M
NEXUS NODE
Marshall Islands
Marshall Islands
MH
INFORM RISK 2025
5.2 /10
HIGH RISK
Hazard 6.5
Vulnerability 4.8
Capacity Gap 4.5
POPULATION
42K
GDP/CAPITA
$4,500
REGION
Pacific
AFFECTED 2024
0.0M
NEXUS NODE
Micronesia
Micronesia
FM
INFORM RISK 2025
4.8 /10
HIGH RISK
Hazard 6.2
Vulnerability 4.2
Capacity Gap 3.8
POPULATION
115K
GDP/CAPITA
$3,500
REGION
Pacific
AFFECTED 2024
0.0M
NEXUS NODE
Nauru
Nauru
NR
INFORM RISK 2025
4.5 /10
HIGH RISK
Hazard 5.8
Vulnerability 4.0
Capacity Gap 3.8
POPULATION
13K
GDP/CAPITA
$12,000
REGION
Pacific
AFFECTED 2024
0.0M
NEXUS NODE
New Zealand
New Zealand
NZ
INFORM RISK 2025
2.8 /10
MEDIUM RISK
Hazard 5.2
Vulnerability 1.8
Capacity Gap 1.5
POPULATION
5.1M
GDP/CAPITA
$48,000
REGION
Pacific
AFFECTED 2024
0.1M
NEXUS NODE
Palau
Palau
PW
INFORM RISK 2025
4.2 /10
HIGH RISK
Hazard 5.8
Vulnerability 3.5
Capacity Gap 3.2
POPULATION
18K
GDP/CAPITA
$17,000
REGION
Pacific
AFFECTED 2024
0.0M
NEXUS NODE
Papua New Guinea
Papua New Guinea
PG
INFORM RISK 2025
6.5 /10
VERY HIGH RISK
Hazard 7.5
Vulnerability 6.2
Capacity Gap 5.8
POPULATION
9.1M
GDP/CAPITA
$2,700
REGION
Pacific
AFFECTED 2024
3.5M
NEXUS NODE
Samoa
Samoa
WS
INFORM RISK 2025
5.0 /10
HIGH RISK
Hazard 6.5
Vulnerability 4.5
Capacity Gap 4.0
POPULATION
220K
GDP/CAPITA
$4,500
REGION
Pacific
AFFECTED 2024
0.1M
NEXUS NODE
Solomon Islands
Solomon Islands
SB
INFORM RISK 2025
5.8 /10
VERY HIGH RISK
Hazard 7.0
Vulnerability 5.5
Capacity Gap 5.0
POPULATION
720K
GDP/CAPITA
$2,400
REGION
Pacific
AFFECTED 2024
0.2M
NEXUS NODE
Tonga
Tonga
TO
INFORM RISK 2025
5.5 /10
VERY HIGH RISK
Hazard 6.8
Vulnerability 5.0
Capacity Gap 4.5
POPULATION
107K
GDP/CAPITA
$5,000
REGION
Pacific
AFFECTED 2024
0.0M
NEXUS NODE
Tuvalu
Tuvalu
TV
INFORM RISK 2025
5.2 /10
HIGH RISK
Hazard 6.5
Vulnerability 4.8
Capacity Gap 4.5
POPULATION
12K
GDP/CAPITA
$4,000
REGION
Pacific
AFFECTED 2024
0.0M
NEXUS NODE
Vanuatu
Vanuatu
VU
INFORM RISK 2025
6.8 /10
VERY HIGH RISK
Hazard 8.2
Vulnerability 6.2
Capacity Gap 5.8
POPULATION
320K
GDP/CAPITA
$3,100
REGION
Pacific
AFFECTED 2024
0.1M
NEXUS NODE
Community-Driven Development

Open Source Governance

Apache Foundation-style meritocracy ensuring transparent, community-driven development of disaster risk infrastructure

Licensing Framework

Core UNOSINT protocols licensed Apache 2.0 (permissive, enterprise-friendly). Your implementations remain your IP.

Contribution Model

Apache-style contributor ladder—everyone starts equal, earn authority through contributions.

APAC Risk Intelligence Dashboard

Real-time risk intelligence powered by INFORM RISK Index 2025

REGIONAL AVG RISK
4.9
out of 10.0
AVG HAZARD EXPOSURE
5.7
out of 10.0
AVG VULNERABILITY
4.7
out of 10.0
AVG CAPACITY GAP
4.3
out of 10.0

Risk Distribution

EXTREME (≥7.0) 1 countries (2.3%)
VERY HIGH (5.5-7.0) 17 countries (38.6%)
HIGH (4.0-5.5) 16 countries (36.4%)
MEDIUM (2.5-4.0) 8 countries (18.2%)
LOW (<2.5) 2 countries (4.5%)

Country Risk Rankings

#
COUNTRY
RISK
HAZARD
VULN.
CAPACITY
#1
Afghanistan
Afghanistan
AF
7.7
7.5
8.2
7.4
#2
North Korea
North Korea
KP
6.8
4.2
7.5
8.2
#3
Bangladesh
Bangladesh
BD
6.8
7.5
6.8
6.2
#4
Vanuatu
Vanuatu
VU
6.8
8.2
6.2
5.8
#5
Myanmar
Myanmar
MM
6.5
5.8
7.2
6.8
#6
Pakistan
Pakistan
PK
6.5
6.8
6.5
6.0
#7
Papua New Guinea
Papua New Guinea
PG
6.5
7.5
6.2
5.8
#8
Philippines
Philippines
PH
6.2
7.2
5.8
5.2
#9
Nepal
Nepal
NP
6.2
6.8
6.0
5.5
#10
Indonesia
Indonesia
ID
5.8
6.5
5.2
4.8
#11
Timor-Leste
Timor-Leste
TL
5.8
5.5
6.5
6.2
#12
Tajikistan
Tajikistan
TJ
5.8
6.2
5.8
5.5
#13
Kiribati
Kiribati
KI
5.8
6.8
5.5
5.2
#14
Solomon Islands
Solomon Islands
SB
5.8
7.0
5.5
5.0
#15
Laos
Laos
LA
5.5
5.2
5.9
5.6
#16
India
India
IN
5.5
6.2
5.2
4.8
#17
Fiji
Fiji
FJ
5.5
7.2
4.8
4.2
#18
Tonga
Tonga
TO
5.5
6.8
5.0
4.5
#19
Cambodia
Cambodia
KH
5.2
4.8
5.8
5.5
#20
Kyrgyzstan
Kyrgyzstan
KG
5.2
5.8
5.0
4.8
#21
Marshall Islands
Marshall Islands
MH
5.2
6.5
4.8
4.5
#22
Tuvalu
Tuvalu
TV
5.2
6.5
4.8
4.5
#23
Vietnam
Vietnam
VN
5.0
5.8
4.8
4.2
#24
Samoa
Samoa
WS
5.0
6.5
4.5
4.0
#25
Thailand
Thailand
TH
4.8
5.5
4.5
4.0
#26
Sri Lanka
Sri Lanka
LK
4.8
5.2
4.8
4.2
#27
Uzbekistan
Uzbekistan
UZ
4.8
5.2
4.8
4.5
#28
Micronesia
Micronesia
FM
4.8
6.2
4.2
3.8
#29
Mongolia
Mongolia
MN
4.5
4.8
4.5
4.2
#30
Maldives
Maldives
MV
4.5
5.8
3.8
3.5
#31
Turkmenistan
Turkmenistan
TM
4.5
5.0
4.5
4.2
#32
Nauru
Nauru
NR
4.5
5.8
4.0
3.8
#33
Bhutan
Bhutan
BT
4.2
5.2
3.8
3.5
#34
Palau
Palau
PW
4.2
5.8
3.5
3.2
#35
China
China
CN
3.8
4.5
3.2
2.5
#36
Kazakhstan
Kazakhstan
KZ
3.8
4.2
3.8
3.5
#37
Malaysia
Malaysia
MY
3.5
4.2
3.1
2.8
#38
Taiwan
Taiwan
TW
3.4
5.2
2.3
2.0
#39
Japan
Japan
JP
3.2
5.8
1.8
1.5
#40
Brunei
Brunei
BN
2.8
3.2
2.5
2.1
#41
New Zealand
New Zealand
NZ
2.8
5.2
1.8
1.5
#42
South Korea
South Korea
KR
2.6
3.5
2.1
1.8
#43
Australia
Australia
AU
2.4
4.8
1.5
1.2
#44
Singapore
Singapore
SG
1.8
2.5
1.5
1.2
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