# Global Import-Export Country Risk Monitor (1995-2024)

Country-level indicators covering monitored export routes, trade values exposed to different risk signals, market concentration, trade access, and selected economic measures.

## What one row represents
one country with its available monitoring and economic indicators

## Included measures and context
- Counts and values for monitored, high-attention, and critical routes
- Export concentration and market-access measures
- Trade totals and selected economic indicators

## Metric notes
- CAGR is the compound annual growth rate across a multi-year period.
- HHI summarizes concentration; higher values indicate activity is concentrated among fewer participants.
- Year-over-year growth compares a value with the previous year; a negative percentage indicates a decline.
- Fields marked USD are monetary values denominated in US dollars.
- Count fields report the number of items named in the field, such as products, partners, or routes.
- Values ending in pct are percentages.
- Country fields ending in ISO3 use three-letter ISO 3166-1 country codes.

## Fields
Column names are shown exactly as they appear in the Parquet file. The schema lists the same fields, and the sample file shows example values.

- `country_iso3` — `string`
- `all_history_lane_count` — `uint64`
- `current_lane_count` — `uint64`
- `critical_lane_count` — `uint64`
- `high_attention_lane_count` — `uint64`
- `high_volatility_lane_count` — `uint64`
- `unrecovered_drawdown_lane_count` — `uint64`
- `declining_demand_lane_count` — `uint64`
- `concentrated_market_lane_count` — `uint64`
- `access_friction_lane_count` — `uint64`
- `buyer_macro_weakness_lane_count` — `uint64`
- `monitored_exports_current_usd` — `float64`
- `attention_exports_usd` — `float64`
- `critical_exports_usd` — `float64`
- `high_volatility_exports_usd` — `float64`
- `unrecovered_drawdown_exports_usd` — `float64`
- `non_fta_exports_usd` — `float64`
- `monitored_attention_share_pct` — `float64`
- `monitored_critical_share_pct` — `float64`
- `fta_covered_exports_share_pct` — `float64`
- `export_weighted_volatility_cv` — `float64`
- `export_weighted_below_peak_pct` — `float64`
- `export_weighted_distance_km` — `float64`
- `export_weighted_tariff_pct` — `float64`
- `latest_data_year` — `uint16`
- `first_data_year` — `uint16`
- `country_years_count` — `uint64`
- `total_exports_latest_usd` — `float64`
- `total_imports_latest_usd` — `float64`
- `trade_balance_latest_usd` — `float64`
- `exports_yoy_latest_pct` — `float64`
- `exports_cagr_3y_latest_pct` — `float64`
- `gdp_latest_million_usd` — `float64`
- `gdp_per_capita_latest_usd` — `float64`
- `population_latest` — `float64`
- `investment_rate_latest_pct` — `float64`
- `savings_rate_latest_pct` — `float64`
- `trade_openness_latest_pct` — `float64`
- `exports_gdp_latest_pct` — `float64`
- `active_partners_latest` — `uint16`
- `fta_partners_latest` — `uint16`
- `foreign_market_potential_latest` — `float64`
- `gdp_5y_cagr_pct` — `float64`
- `gdp_per_capita_5y_cagr_pct` — `float64`
- `population_5y_cagr_pct` — `float64`
- `partner_hhi_latest` — `float64`
- `partner_top1_share_latest_pct` — `float64`
- `partner_top3_share_latest_pct` — `float64`
- `partner_hhi_all_avg` — `float64`
- `partner_hhi_all_max` — `float64`
- `product_hhi_latest` — `float64`
- `product_top1_share_latest_pct` — `float64`
- `product_top3_share_latest_pct` — `float64`
- `product_hhi_all_avg` — `float64`
- `product_hhi_all_max` — `float64`
- `total_exports_attention_share_pct` — `float64`
- `total_exports_critical_share_pct` — `float64`
- `attention_level` — `string`
- `primary_risk_driver` — `string`
- `macro_resilience_label` — `string`

## Coverage and size
- Coverage: 1995-2024 annual observations where available
- Records: 200
- Parquet file size: 119 KB
- Release: 1.0.0
- SHA-256: `5af4ad95c7304a02bbd3db6d87e299fbbd17315be4e662e3b0bf8ec14b9e0907`

## Files
- `data.parquet` — complete dataset
- `manifest.json` — dataset description, coverage, record count, and download details
- `schema.json` — field names, row definition, included measures, and metric notes
- `sample.json` — example records
- `README.md` — these notes

## Read the Parquet file with Python
```python
import pandas as pd

data = pd.read_parquet("data.parquet")
print(data.head())
```

Install `pandas` and `pyarrow` if they are not already available: `python -m pip install pandas pyarrow`.

## Sources and related files
- OECD BIMTS HS2017-6D
- Dataset page: https://www.yugalinks.com/datasets/import-export/import-export-country-risk-monitor-v1/
- Original dataset record: https://huggingface.co/datasets/yugalinks/import-export-country-risk-monitor-v1