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

Importer demand by HS6 product, with historical import values, growth, peak comparisons, supplier concentration, and trend indicators.

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

## Included measures and context
- Latest and multi-year import values
- Growth, historical peaks, and demand trend
- Supplier count, leading supplier, and 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.
- 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.
- 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`
- `importer_iso3` — `string`
- `first_data_year` — `uint16`
- `latest_data_year` — `uint16`
- `years_with_data` — `uint16`
- `imports_latest_observed_usd` — `float64`
- `imports_all_year_avg_usd` — `float64`
- `imports_avg_3y_usd` — `float64`
- `imports_avg_5y_usd` — `float64`
- `imports_avg_10y_usd` — `float64`
- `imports_cagr_3y_pct` — `float64`
- `imports_cagr_5y_pct` — `float64`
- `imports_cagr_10y_pct` — `float64`
- `imports_historical_peak_usd` — `float64`
- `imports_first_observed_usd` — `float64`
- `historical_peak_year` — `uint16`
- `latest_vs_all_avg_pct` — `float64`
- `latest_below_peak_pct` — `float64`
- `yoy_growth_latest_pct` — `float64`
- `yoy_growth_all_avg_pct` — `float64`
- `positive_growth_year_share_pct` — `float64`
- `supplier_count_latest` — `uint16`
- `market_hhi_latest` — `float64`
- `top_supplier_iso3` — `string`
- `top_supplier_share_pct` — `float64`
- `data_freshness_years` — `uint8`
- `coverage_score` — `float64`
- `confidence_label` — `string`
- `demand_momentum_label` — `string`
- `trend_acceleration_pct` — `float64`
- `trend_label` — `string`
- `refreshed_at` — `timestamp[ms, tz=UTC]`

## Coverage and size
- Coverage: 1995-2024 annual observations where available
- Records: 1,059,724
- Parquet file size: 158 MB
- Release: 1.0.0
- SHA-256: `906acbebabe04be471ba04e25ca1d8385dc24737a139279d95b28dafb47a0e84`

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