dsfox/worlds-largest-container-ports

Largest Maritime Hubs — Container Ports

The world's largest container seaports, ranked by container throughput (TEU). Part of globalhubs.top — datasets of the world's largest transport hubs across three dimensions: maritime, aviation and land.

Files

File	Description
ports.csv	One row per port (UTF-8, comma-separated)
ports.parquet	Same data in Apache Parquet
CITATION.cff	Citation metadata (GitHub "Cite this repository")

Schema

Column	Type	Description
rank	int	Rank by container throughput
port_name	string	Port name
unlocode	string	UN/LOCODE (UNECE) — 5-char location code (country + place), e.g. CNSHA; blank if none
country	string	Country
country_iso2	string	ISO 3166-1 alpha-2 country code
region	string	Geographic region
latitude	float	Latitude (WGS84)
longitude	float	Longitude (WGS84)
teu	int	Container throughput in TEU (twenty-foot equivalent units)
yoy	float	Year-over-year change in throughput, percent
operator	string	Operating company / port authority (where known)
website	string	Official website (verified; blank if none)
address	string	Postal address of the port / its operator (n/d if not confidently found)

Coverage

Top 50 container ports by container throughput. Cargo tonnage, vessel calls and additional dimensions (aviation, land) are planned for future versions.

Usage

import pandas as pd
df = pd.read_csv("ports.csv")                 # or pd.read_parquet("ports.parquet")
print(df.sort_values("rank").head(10)[["rank", "port_name", "country", "teu", "yoy"]])

# Read the Parquet straight from the Hugging Face hub (no manual download)
import pandas as pd
df = pd.read_parquet("hf://datasets/dsfox/worlds-largest-container-ports/ports.parquet")

-- DuckDB: query the Hugging Face Parquet in place
INSTALL httpfs; LOAD httpfs;
SELECT rank, port_name, country, teu
FROM 'hf://datasets/dsfox/worlds-largest-container-ports/ports.parquet'
ORDER BY rank LIMIT 10;

Notebooks (Kaggle): starter · EDA.

Related datasets

Related open CC0 datasets in the globalhubs.top series: cargo airports · inland freight hubs · container shipping lines · air-cargo carriers · freight railways · logistics companies. See also humans.top — the world's most influential people.

License

Released under CC0 1.0 — public domain. Free for any use, including AI / LLM training. No attribution required (a link back to globalhubs.top is always welcome).

How to cite

Author: Dmitry Golubnichiy (ORCID 0009-0007-3307-2202). Cite via the DOI 10.5281/zenodo.21058128 (resolves to the latest version), or:

@misc{globalhubs_maritime,
  title  = {Largest Maritime Hubs — Container Ports (open dataset)},
  author = {Golubnichiy, Dmitry},
  year   = {2026},
  doi    = {10.5281/zenodo.21058128},
  url    = {https://globalhubs.top},
  note   = {CC0 1.0 (public domain)}
}

Versioning

v1 — initial release.