Comprehensive analysis of urbanization patterns, peace indicators, and socioeconomic factors across 59 countries
Data coverage
Most recent data
Global average
Stable & Volatile
Comparative analysis of peace and security metrics by urbanization level
Detailed correlation analysis between urbanization and peace indicators
All Countries: r = -0.152
n = 59 countries
Correlation: r = -0.107
n = 33 countries
Correlation: r = +0.429
n = 26 countries
Heatmap analysis of crime indicators by urbanization and inequality levels
| Inequality ↓ / Urbanization → | Low urban | Mid urban | High urban |
|---|---|---|---|
| Low inequality | 2.48 | 2.73 | 1.96 |
| Mid inequality | 2.42 | 2.63 | 2.32 |
| High inequality | 2.86 | 3.46 | 3.30 |
Carbon emissions and renewable energy consumption patterns
Interactive 3D globe showing country clusters based on K-Means analysis
Countries with higher urbanization, lower inequality (Gini), and better peace scores. Typically developed nations with stable institutions.
Countries with ongoing urbanization, higher inequality, and lower peace scores. Often developing nations with rapid change.
Countries are automatically grouped into two clusters using K-Means machine learning algorithm based on 53 socioeconomic indicators including urbanization, peace scores, inequality, economic development, and environmental factors.
Characterized by: Lower Global Peace Index scores (more peaceful), lower Gini coefficients (less inequality), higher urbanization rates, and better overall stability metrics.
Characterized by: Higher Global Peace Index scores (less peaceful), higher Gini coefficients (more inequality), rapid urbanization transitions, and developing economic structures.