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 analysisgeodata_summary.csv- Quick reference CSVgeodata_analysis.py- Analysis script