# France enriched corridor history by partner and HS6

Annual export corridors from France with growth, access, tariff, distance, and partner context for HS6 products.

## What one row represents
one year, country pair, and HS6 product

## Included data
- Annual corridor exports
- Market share, supplier, and growth measures
- Distance, tariff, access, and concentration context

## Metric notes
- USD fields are monetary values denominated in US dollars.
- Country fields use three-letter ISO 3166-1 country codes.
- HS6 identifies a product at the six-digit Harmonized System level.
- Growth percentages compare reported values across the relevant periods; calculated and projected fields are identified in the schema.

## Fields
- `year` — `UInt16`
- `exporter_iso3` — `String`
- `importer_iso3` — `String`
- `hs_code` — `String`
- `export_value_usd` — `Float64`
- `yoy_growth_pct` — `Nullable(Float64)`
- `cagr_3y_pct` — `Nullable(Float64)`
- `substitution_elasticity` — `Nullable(Float64)`
- `distance_km` — `Nullable(Float64)`
- `shares_land_border` — `Nullable(UInt8)`
- `shares_official_language` — `Nullable(UInt8)`
- `has_fta` — `Nullable(UInt8)`
- `avg_applied_tariff_pct` — `Nullable(Float64)`

## Coverage and size
- Coverage: 1995-2024 where reported
- Records: 11,045,885
- Parquet file size: 356 MB
- SHA-256: `5ffd401dce345b3e8d72460d0b551b8a2b38106bd37678897f2de94bf8fce347`

## Files
- `data.parquet` - complete dataset
- `manifest.json` - release metadata and checksums
- `schema.json` - field names, types, and metric notes
- `sample.json` - example records
- `README.md` - dataset documentation

## Read with Python
```python
import pandas as pd
data = pd.read_parquet("data.parquet")
print(data.head())
```

## Sources
- OECD Balanced International Merchandise Trade Statistics (BIMTS)
- Yugalinks calculated market and corridor context
- OECD Terms & Conditions: https://www.oecd.org/termsandconditions/