alf1990mi/world-company-database

World Company Database — 100K Sample

A sample of 100,000 companies from the S.C.A.L.A. Score database, which contains 244M+ companies across 50+ countries.

Dataset Description

This dataset provides structured company information including:

• —Company name, location (country, city, province, postal code)
• —Legal form and registration status
• —NACE industry sector codes and descriptions
• —Financial data (revenue, net income, total assets, equity)
• —Employee count and founding year
• —Proprietary S.C.A.L.A. Score (0-100) and grade (A-F)

Country Distribution (top 10)

Financial Coverage

• —~7,125 companies with revenue data
• —~6,181 companies with employee count

Data Sources

Aggregated from public business registries and open data:

• —EU Business Registries (OpenCorporates, national registries)
• —Overture Maps Foundation
• —GLEIF (Legal Entity Identifiers)
• —National open data portals (Brasil.io, data.gov.au, INSEE, etc.)
• —Wikidata

Full Database Access

This is a small sample. The full database has 244M+ companies.

Usage

import pandas as pd
df = pd.read_csv("hf://datasets/alf1990mi/world-company-database/data/score_sample_100k.csv")
print(f"Companies: {len(df)}, Countries: {df['country'].nunique()}")

License

CC BY 4.0 — free for commercial and academic use with attribution.