How Many Lumber Stores are in Tokyo, Japan?
There are 794 Lumber stores in Tokyo, Japan. A random selection of cities, including Koto City and Adachi City , features a substantial number of Lumber stores locationsโ 227 in Koto City and 38 in Adachi City . Notably, Koto City accounts for approximately 28.59% of all Lumber stores locations in the Japan.
Data last updated on June, 2025.
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Explore 10 random Lumber Store listings from our dataset. Click on any contact icon for more details or to request your free sample.
| Name | City | State | Country | Phone | Website | Ratings | Reviews | |
|---|---|---|---|---|---|---|---|---|
| Kohnan Mitaka | Mitaka | Tokyo | Japan | โ | โ | ๐ | 3.6 | 2689 |
| Kohnan PRO - Nishitokyo Tanash... | Nishitokyo | Tokyo | Japan | โ | โ | ๐ | 3.6 | 118 |
| Kohnan Pro | Mitaka | Tokyo | Japan | โ | โ | ๐ | 4 | 55 |
| KOHNAN PRO | Kita City | Tokyo | Japan | โ | โ | ๐ | 3.9 | 322 |
| Kohnan Kลtล Fukagawa | Koto City | Tokyo | Japan | โ | โ | ๐ | 3.8 | 3217 |
| Kohnan PRO DOIT | Nishitokyo | Tokyo | Japan | โ | โ | ๐ | 3.8 | 788 |
| Kohnan Doit | Bunkyo City | Tokyo | Japan | โ | โ | ๐ | 3.6 | 1241 |
| kohnan DOIT Nishiarai | Adachi City | Tokyo | Japan | โ | โ | ๐ | 3.7 | 2316 |
| ใขใผใใฆใใ๏ฝๆฐๅฎฟใทใงใผใซใผใ ... | Shinjuku City | Tokyo | Japan | โ | โ | ๐ | 0 | 0 |
| Kohnan PRO | Setagaya City | Tokyo | Japan | โ | โ | ๐ | 4.1 | 118 |
Complete Lumber Store Dataset Fields Overview
Lumber Stores Data for Cities in Tokyo
Check out the 10 random cities with the highest number of listings for a detailed regional breakdown.
| City | Listings | Percentage |
|---|---|---|
| Koto City | 227 | 28.59% |
| Adachi City | 38 | 4.79% |
| Ota City | 34 | 4.28% |
| Nerima City | 33 | 4.16% |
| Taito City | 32 | 4.03% |
| Edogawa City | 28 | 3.53% |
| Setagaya City | 28 | 3.53% |
| Sumida City | 23 | 2.90% |
| Toshima City | 20 | 2.52% |
| Machida | 17 | 2.14% |
What Data Do We Provide?
Our dataset for Lumber stores in Tokyo is one of the most comprehensive in the industry. As of June, 2025, we have compiled data on 794 listings. This includes:
- Essential business details (name, address, and operational hours)
- Verified contact information (phone, email, and website)
- Customer engagement metrics (ratings and reviews)
- Precise geolocation data (latitude, longitude, and regional distribution)
- Additional attributes like categories, pricing, and more
For example, our analysis shows that in one of the leading cities โ Koto City โ there are over 227 listings, indicating a robust and competitive market.
How You Can Use This Data
Poidata' dataset empowers you to reach the right audience through multiple channels. Here are some key ways our data can give you a competitive edge:
Market Research & Competitive Analysis
Analyze trends, saturation, and competitor presence by region to uncover underserved areas and high-potential markets.
Location Intelligence & Expansion
Plan openings or rollouts using density maps, ratings, and category insights to target low-competition, high-demand zones.
Mapping & Navigation
Add POI data to your apps for delivery, logistics, or travel using accurate coordinates and business information.
AI & NLP Model Training
Train models with structured data and real user reviews for improved sentiment analysis, NER, and recommendations.
Real Estate & Investment Insights
Evaluate commercial potential and foot traffic by analyzing nearby businesses and activity trends.
Local SEO & Digital Services
Optimize marketing by studying GMB listings, ratings, and categories used by top-performing competitors.
Lead Generation & Sales
Find and reach businesses using phone numbers, websites, and category filters for smarter prospecting.
Email Marketing
Run campaigns with verified emails of decision-makers for personalized outreach at scale.
Cold Calling
Use up-to-date phone numbers to initiate effective conversations and improve call conversions.
Direct Mail Campaigns
Send promotional materials or catalogs using accurate mailing addresses for targeted delivery.
Social Media Outreach
Engage businesses via Instagram, LinkedIn, or Facebook using curated profile data (optional).
Footfall & Demand Estimation
Estimate local foot traffic by analyzing the concentration and type of nearby businesses and their popularity.
Integrating these strategies can significantly boost your marketing efficiency, lead quality, and business insights.
Need More Details?
Unlock access to the complete dataset of Lumber stores in Tokyo in multiple formats (JSON, CSV, etc.). Our data covers everything from accurate contact details to comprehensive location insightsโempowering your business decisions.
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