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year
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2.02k
hs4
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0101-01-01 00:00:00
9999-01-01 00:00:00
global_trade_usd
float64
2.26M
1,674B
yoy_growth_pct
float64
-94.11
105k
⌀
exporter_concentration_hhi
float64
365
9.22k
importer_concentration_hhi
float64
162
8.64k
volatility_score
float64
0
100
1,997
0101
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0801
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0802
3,421,949,990.904355
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0803
4,283,705,235.3869
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0804
1,350,177,189.818598
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4,641,481,196.853012
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0806
2,775,494,280.565668
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0807
1,197,895,838.759242
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219,496,721.761431
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0813
679,486,587.944767
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0814
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194,062,129.918228
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Global Import-Export HS4 Profile Series (1995-2024)

Dataset coverage and release

  • Coverage: 1995-2024 annual observations where available
  • Release version: 1.0.0
  • Stable repository identifier: yugalinks/import-export-hs4-profile-series-v1
  • Data format: Parquet
  • Zenodo archive: 10.5281/zenodo.22886829

License and use

Provider terms apply. Yugalinks prepares these files for analysis but does not relicense the underlying OECD observations or any CEPII reference fields. Retain source attribution and review the applicable provider terms before redistribution or commercial use.

About Yugalinks

Yugalinks turns published international import-export data into practical, reusable datasets and tools. We organize complex country, product, market, and corridor information so MSMEs, researchers, developers, and analysts can understand international commerce and use the data in real-world applications.

Our goal is to simplify international commerce and import-export analysis by making difficult-to-use data easier to explore, analyze, and apply. The underlying observations come from published sources; Yugalinks prepares them for clearer analysis while preserving source attribution and provider terms.

Learn more at yugalinks.com and browse the Yugalinks dataset collection.

Dataset description

Historical product heading profiles at the HS4 level.

What it helps answer

  • Compare product groups across years.
  • Which countries, products, markets, or routes are most relevant?
  • How do the available observations change across years?

How to read it

Each row represents the dataset topic at its published level of detail. Country codes use ISO3 notation, and product codes use the relevant HS level where applicable. A missing value means that the corresponding observation was not available in the published coverage.

At a glance

Item Value
Records 36,680
Format Parquet
Coverage 1995-2024 annual observations where available
Primary source OECD BIMTS HS2017-6D
Pair context CEPII attributes where documented in the columns

Construction and provenance

The reported country, product, year, quantity, and value observations are based primarily on the OECD Balanced International Merchandise Trade Statistics (BIMTS) HS2017-6D release. Some datasets include country-pair context such as distance, borders, or language relationships from CEPII reference data where documented.

Yugalinks organizes the observations into country, product, market, route, price, and risk views. Derived indicators support comparison and investigation; they are not guaranteed forecasts or recommendations.

File

  • data.parquet — the complete dataset for this topic.

Python example

import pandas as pd

frame = pd.read_parquet("data.parquet")
print(frame.shape)
print(frame.head())

Attribution

Please retain OECD and CEPII attribution when redistributing information from those sources, and check the applicable provider terms before commercial redistribution.

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