v0 Research Preview: This dashboard displays snapshot data from November 2025. Methodology and parameters are starting points for community refinement. View proposed methodology or explore the data analysis.

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Ethereum

Ethereum

Geographic Decentralization Detail

Overall GDI Score55
PDI
63
JDI
39
IHI
63

Physical Distribution

How widely infrastructure is distributed across physical geography

PDI Score
63Moderate dispersion

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Moran's I
0.25
Measures if nearby nodes cluster together. 0 = randomly scattered, 1 = tightly clustered in hotspots.
Spatial HHI
0.021
Geographic concentration. Lower is better—0.01 means no single region dominates, 1.0 means all nodes in one place.
Effective # of Locations
208
If you removed concentration bias, the network would behave like 208 locations with equal node counts. Higher = more balanced spread.

Jurisdictional Diversity

JDI Score
39
Low dispersion
Country HHI
0.143
Jurisdictional concentration. Lower is better—0.1 means spread across many countries, 0.5+ means one country dominates.
Countries
95
Unique jurisdictions with at least one node. The largest country has 32% of all nodes.

Infrastructure Heterogeneity

IHI Score
63
Moderate dispersion
Org HHI
0.016
Provider concentration. Lower is better—0.01 means many small providers, 0.3+ means a few large ones control most nodes.
Hosting Providers
2,274
Unique organizations running nodes. The top 3 providers host 17% of all nodes.

Notes and Uncertainty

All location and provider inferences are probabilistic and imperfect. Geographic decentralization metrics should be interpreted as estimates with inherent uncertainty, not absolute measurements.

Data Sources and Methodology
  • Public node crawls and peer discovery protocols
  • IP geolocation databases (MaxMind, IPinfo)
  • Cloud provider fingerprinting via ASN and reverse DNS
  • RIPE Atlas measurements for validation
Measurement Details
  • Data snapshot: November 2025
  • Sample size: 16,086 nodes
  • Jurisdictions: 95 countries
  • Providers: 2,274 organizations
Known Limitations
  • VPN usage may distort location inferences
  • Residential nodes are underrepresented in public crawls
  • Provider identification accuracy varies by network