List of Bus Stops in Japan
There are 301,485 Bus stops in Japan. A random selection of cities, including Yokohama and Sendai , features a substantial number of Bus stops locations— 6,777 in Yokohama and 3,069 in Sendai . Notably, Yokohama accounts for approximately 2.25% of all Bus stops locations in the Japan.
Data last updated on June, 2025.
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Explore 10 random sample 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 | |
---|---|---|---|---|---|---|---|---|
Hiroshima-ko Sambash... | Hiroshima | Japan | ☎ | ✉ | 🔗 | 3.9 | 60 | |
National Cancer Cent... | Chiba | Japan | ☎ | ✉ | 🔗 | 4.2 | 6 | |
Shinjuku-Sanchōme (S... | Shinjuku City | Tokyo | Japan | ☎ | ✉ | 🔗 | 4.7 | 3 |
Horinouchi-Nichōme (... | Suginami City | Tokyo | Japan | ☎ | ✉ | 🔗 | 3 | 1 |
Koenji Minami 4 Chom... | Suginami City | Tokyo | Japan | ☎ | ✉ | 🔗 | 4 | 1 |
Sesion Suginami | Suginami City | Tokyo | Japan | ☎ | ✉ | 🔗 | 3 | 1 |
新高円寺駅(バス) | Suginami City | Tokyo | Japan | ☎ | ✉ | 🔗 | 0 | 0 |
Suginami-Shako | Suginami City | Tokyo | Japan | ☎ | ✉ | 🔗 | 0 | 0 |
Suginami-Kuyakusho (... | Suginami City | Tokyo | Japan | ☎ | ✉ | 🔗 | 0 | 0 |
Higashi-Kōenji Sta. | Suginami City | Tokyo | Japan | ☎ | ✉ | 🔗 | 3.5 | 2 |
Complete Dataset Fields Overview
Sample States & Cities
Below is a closer look at the regions where these businesses thrive. Discover 10 random states and cities by listing volume.
18,197 (6%)
Tokyo
Tokyo contributes about 6% of all listings.
17,138 (6%)
Kanagawa
Kanagawa contributes about 6% of all listings.
12,547 (4%)
Hyogo
Hyogo contributes about 4% of all listings.
State | Listings |
---|---|
Tokyo | 18,197 (6.04%) |
Kanagawa | 17,138 (5.68%) |
Hyogo | 12,547 (4.16%) |
Chiba | 12,082 (4.01%) |
Hokkaido | 11,714 (3.89%) |
Aichi | 11,668 (3.87%) |
Fukuoka | 10,017 (3.32%) |
Saitama | 9,003 (2.99%) |
Hiroshima | 8,041 (2.67%) |
Ibaraki | 7,210 (2.39%) |
Check out the 10 random cities with the highest number of listings for a detailed regional breakdown.
City | Listings |
---|---|
Yokohama | 6,777 (2.25%) |
Sendai | 3,069 (1.02%) |
Kyoto | 2,863 (0.95%) |
Kobé | 2,723 (0.90%) |
Fukuoka | 2,510 (0.83%) |
Kitakyushu | 2,463 (0.82%) |
Osaka | 2,305 (0.76%) |
Kawasaki | 2,220 (0.74%) |
Kumamoto | 1,737 (0.58%) |
Shizuoka | 1,721 (0.57%) |
What Data Do We Provide?
Our dataset for Bus stops in Japan is one of the most comprehensive in the industry. As of June, 2025, we have compiled data on 301,485 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 regions – Tokyo – there are over 18,197 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:
- Email Marketing: Utilize our verified email lists to craft personalized campaigns targeting key decision-makers.
- Cold Calling: Access accurate phone numbers to initiate direct conversations, saving time and improving conversion rates.
- Direct Mail: Reach out with physical catalogs or promotional materials using our detailed mailing addresses.
- Social Media Outreach (Optional): Leverage curated lists of social media profiles (Instagram, LinkedIn, Facebook) to engage businesses on platforms where they’re most active.
Integrating these strategies helps ensure that your marketing efforts are both efficient and effective, driving higher engagement and better results.
Need More Details?
Unlock access to the complete dataset of Bus stops in Japan in multiple formats (JSON, CSV, etc.). Our data covers everything from accurate contact details to comprehensive location insights—empowering your business decisions.
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