# Global Import-Export Exporter Position (1995-2024)

Exporter position by HS6 product, including export values, destination-market counts, growth, top-market share, concentration, and volatility.

## What one row represents
one exporting country and HS6 product

## Included measures and context
- Current and multi-year export values
- Active markets and leading destination
- Market share, concentration, volatility, and drawdown

## Metric notes
- HS6 codes identify products at the six-digit Harmonized System level.
- CAGR is the compound annual growth rate across a multi-year period.
- HHI summarizes concentration; higher values indicate activity is concentrated among fewer participants.
- 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 pp are percentage-point changes.
- 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.

- `hs_code` — `string`
- `exporter_iso3` — `string`
- `first_data_year` — `uint16`
- `latest_data_year` — `uint16`
- `observed_lane_count` — `uint32`
- `current_lane_count` — `uint32`
- `active_market_count` — `uint16`
- `exports_latest_observed_lanes_usd` — `float64`
- `exports_current_2024_usd` — `float64`
- `exports_avg_3y_usd` — `float64`
- `exports_avg_5y_usd` — `float64`
- `exports_avg_10y_usd` — `float64`
- `exports_cagr_3y_pct` — `float64`
- `exports_cagr_5y_pct` — `float64`
- `exports_cagr_10y_pct` — `float64`
- `exports_all_year_lane_avg_usd` — `float64`
- `exports_historical_lane_peak_usd` — `float64`
- `historical_peak_year` — `uint16`
- `positive_growth_year_share_pct` — `float64`
- `trend_acceleration_pct` — `float64`
- `trend_label` — `string`
- `top_market_iso3` — `string`
- `top_market_exports_usd` — `float64`
- `top_market_share_pct` — `float64`
- `destination_hhi` — `float64`
- `weighted_share_latest_pct` — `float64`
- `weighted_share_change_1y_pp` — `float64`
- `weighted_volatility_cv` — `float64`
- `weighted_max_drawdown_pct` — `float64`
- `limited_history_lane_share_pct` — `float64`
- `data_freshness_years` — `uint8`
- `coverage_score` — `float64`
- `confidence_label` — `string`
- `refreshed_at` — `timestamp[ms, tz=UTC]`

## Coverage and size
- Coverage: 1995-2024 annual observations where available
- Records: 965,105
- Parquet file size: 162 MB
- Release: 1.0.0
- SHA-256: `8d1c2b2a0a3c06ff9c8e4c10b58a4997b626eb697be224789730cbb5d65ae3c5`

## 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-exporter-position-v1/
- Original dataset record: https://huggingface.co/datasets/yugalinks/import-export-exporter-position-v1