Country Exposure Map & Spatial Spillovers
Geographic crypto adoption patterns and their relationship to macroeconomic development
Transmission Channel: Geographic & Regulatory| Country | Adoption Score | Population (M) | GDP/Capita | Category |
|---|---|---|---|---|
| India | 0.95 | 1420M | $2,389 | Emerging |
| Nigeria | 0.92 | 224M | $2,184 | Emerging |
| Vietnam | 0.89 | 99M | $4,164 | Emerging |
| United States | 0.86 | 334M | $80,035 | Developed |
| Ukraine | 0.84 | 37M | $4,835 | Emerging |
| Philippines | 0.81 | 117M | $3,685 | Emerging |
| Indonesia | 0.78 | 277M | $4,788 | Emerging |
| Brazil | 0.75 | 216M | $8,917 | Emerging |
| Thailand | 0.72 | 72M | $7,233 | Emerging |
| United Kingdom | 0.69 | 67M | $46,125 | Developed |
| Turkey | 0.67 | 85M | $10,674 | Emerging |
| Russia | 0.64 | 144M | $12,195 | Emerging |
| Germany | 0.61 | 84M | $51,384 | Developed |
| Japan | 0.58 | 125M | $33,815 | Developed |
| South Korea | 0.55 | 52M | $32,423 | Developed |
Crypto adoption exhibits strong spatial clustering, with emerging markets in South and Southeast Asia showing the highest adoption scores. This pattern reflects several transmission mechanisms: remittance corridors (Philippines, India), currency instability (Nigeria, Turkey, Ukraine), and technology-forward demographics (Vietnam, Indonesia).
Developed markets show moderate adoption driven by institutional investment and regulatory clarity. The US leads developed-market adoption due to its deep capital markets and ETF approvals, while Japan and South Korea benefit from established exchange infrastructure.
Spatial spillovers are evident in regional clusters: adoption in India correlates with neighboring Bangladesh and Pakistan, while Nigerian adoption spills over to Ghana and Kenya through shared remittance networks.