Top 1000 Business Dataset in London Sample

Open Firmographic Dataset of 1,000 Companies with Addresses, Revenues, and SIC Codes in London

An open dataset of 1,000 companies with detailed firmographic information, including addresses, registration numbers, SIC industry codes, revenues, employee counts, and headquarter linkages.
This dataset is designed for researchers, developers, data analysts, and businesses who want to explore company-level economic activity and build data-driven applications.

📊 Dataset Contents

Each record contains multiple fields describing company details. Example fields include:

• Company name & trade name
• Address (street, postal code, city, country)
• Company registration number
• Business category codes & descriptions (SIC codes)
• Yearly revenue (local currency & USD)
• Employee counts (on site & total)
• Headquarter linkages (local, national, global)
• Founding year
• Import/Export codes

🔎 Practical Examples

Here are some example records from the dataset:

1. The Jacques Art & Music LTD

   • Registration: 14582941
   • Revenue (USD): $23K
   • Employees: 1
   • Industry: Business Services, Not Elsewhere Classified (SIC 7389)

2. Azul Cleaning LTD

   • Registration: 14583001
   • Revenue (USD): $36K
   • Employees: 1
   • Industry: Building Cleaning and Maintenance Services (SIC 7349)

3. Reviloabor Services LTD

   • Registration: 14583031
   • Revenue (USD): $33K
   • Employees: 1
   • Industry: Management Consulting Services (SIC 8742)

4. B22 Solutions LTD

   • Registration: 14583064
   • Revenue (USD): $33K
   • Employees: 1
   • Industry: Computer Related Services, Not Elsewhere Classified (SIC 7379)

🌍 Use Cases

• Economic research and market analysis
• Business intelligence dashboards
• Startup ecosystem mapping
• Open data applications and hackathons

🎓 Suggested Research Exercises

Here are some example exercises to practice with this dataset:

1. Industry Distribution Analysis
   Count how many companies exist per SIC code or Business Category.
   Goal: Identify the most common industries and visualize the distribution with a bar chart or treemap.

2. Revenue Insights
   Calculate the total revenue per industry and the average revenue per company.
   Goal: Discover which sectors generate the highest revenues. Extend by comparing subsidiaries vs. independent companies.

3. Company Size Profiling
   Categorize companies into Small, Medium, and Large based on employee count.
   Goal: Understand the structure of the local economy. Cross-analyze with revenue to explore patterns.

4. Headquarter Network Mapping
   Identify companies that are subsidiaries of global groups and map them to their global headquarters.
   Goal: Visualize multinational presence and build a network graph of corporate linkages.

5. Historical Trends
   Analyze founding years to see how many companies were established per decade.
   Goal: Spot patterns in business creation over time and compare across industries.

About CompanyData.com

CompanyData.com provides trusted data to leading organizations like Uber, Booking, and Statista. We’re now opening up free datasets for the community, offering information on millions of companies worldwide, including email, phone, corporate ownership structures, employees and revenue.

Our database covers more than 375 million companies across the globe. Learn more at CompanyData.com

❓ Questions & Contact

For questions, collaborations, or feedback, please reach out via email:
📧 [email protected]

📥 Source & Licensing

• Source: Collected and curated by Companydata.com (internal data aggregation).
• License: Creative Commons Zero v1.0 Universal
  • You are free to share and adapt the dataset all without asking permission.

🔑 Keywords

open dataset companies, firmographic data, business registry, company revenue dataset, SIC code dataset, company addresses, public business data, open company database, london