# Global Import-Export Buyer Market (1995-2024)

Importer-market indicators by HS6 product, covering recent and historical import values, growth, supplier counts, concentration, and projected values.

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

## Included measures and context
- Latest, average, and peak import values
- Growth and three-/five-year projections
- Supplier counts, leading exporter, and market concentration

## 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.
- 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.
- 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.

- `importer_iso3` — `string`
- `hs_code` — `string`
- `buyer_imports_latest_usd` — `float64`
- `buyer_imports_avg_usd` — `float64`
- `buyer_imports_peak_usd` — `float64`
- `buyer_imports_first_usd` — `float64`
- `buyer_cagr_full_pct` — `float64`
- `buyer_yoy_avg_pct` — `float64`
- `buyer_yoy_latest_pct` — `float64`
- `buyer_trend_consistency_pct` — `float64`
- `buyer_imports_proj_3y_usd` — `float64`
- `buyer_imports_proj_5y_usd` — `float64`
- `num_suppliers_latest` — `uint16`
- `peer_best_share_pct` — `float64`
- `peer_top_exporter` — `string`
- `buyer_herfindahl_index` — `float64`
- `buyer_data_from_year` — `uint16`
- `buyer_data_to_year` — `uint16`

## Coverage and size
- Coverage: 1995-2024 annual observations where available
- Records: 1,059,724
- Parquet file size: 86 MB
- Release: 1.0.0
- SHA-256: `4c0054032893024fbb232b3965abae20a5a51f34a0c8427276ece21db598e61f`

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