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# IFVI Global Value Factors Dataset - Geographic Entity Analysis
**Analysis Date:** 2025-08-21
**Source:** processing/remapping/geodata.json
**ISO Standard:** ISO 3166-1 alpha-3
## Geographic Entity Statistics
| Metric | Count | Percentage |
|--------|-------|------------|
| **Total unique geolocations** | 268 | 100.0% |
| **Entities with ISO 3166-1 codes** | 195 | 72.8% |
| **US states (with state codes)** | 50 | 18.7% |
| **Non-sovereign entities (no ISO)** | 23 | 8.6% |
## Entity Type Breakdown
| Entity Type | Count | Percentage |
|-------------|-------|------------|
| Sovereign Country | 196 | 73.1% |
| US State | 50 | 18.7% |
| Non Sovereign | 22 | 8.2% |
## ISO Code Coverage
- **Entities with standardized codes:** 245 (91.4%)
- **Entities without codes:** 23 (8.6%)
## Regional Distribution
| Region | Total | With ISO | Without ISO |
|--------|-------|----------|-------------|
| Sub-Saharan Africa | 48 | 48 | 0 |
| Europe & Central Asia | 58 | 53 | 5 |
| Latin America & Caribbean | 42 | 33 | 9 |
| East Asia & Pacific | 38 | 31 | 7 |
| Middle East & North Africa | 21 | 21 | 0 |
| South Asia | 8 | 8 | 0 |
| North America | 3 | 2 | 1 |
## Key Findings
- **91.4% coverage** with standardized geographic codes
- **Perfect ISO coverage** in Sub-Saharan Africa, Middle East & North Africa, and South Asia
- **US states** are handled separately with state codes (18.7% of total entities)
- **Non-sovereign entities** represent 8.6% of the dataset (territories, dependencies, etc.)
## Files Generated
- `geodata_analysis.json` - Complete structured analysis
- `geodata_summary.csv` - Quick reference CSV
- `geodata_analysis.py` - Analysis script
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