List of Discount Stores in Japan
There are 3,901 Discount stores in Japan. A random selection of cities, including Osaka and Fukuoka , features a substantial number of Discount stores locationsβ 84 in Osaka and 83 in Fukuoka . Notably, Osaka accounts for approximately 2.15% of all Discount stores 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 | |
---|---|---|---|---|---|---|---|---|
Don Quijote Namba Se... | Osaka | Japan | β | β | π | 3.8 | 3891 | |
Don Quijote Akihabar... | Chiyoda City | Tokyo | Japan | β | β | π | 3.9 | 10375 |
Olympic Sekimachi St... | Nerima City | Tokyo | Japan | β | β | π | 3.6 | 1566 |
Don Quijote Shinjuku | Shinjuku City | Tokyo | Japan | β | β | π | 3.9 | 5633 |
Don Quijote Shinjuku... | Shinjuku City | Tokyo | Japan | β | β | π | 3.7 | 4494 |
Don Quijote Shin Oku... | Shinjuku City | Tokyo | Japan | β | β | π | 3.7 | 1149 |
Don Quijote Shinjuku... | Shinjuku City | Tokyo | Japan | β | β | π | 3.6 | 8433 |
Olympic | Suginami City | Tokyo | Japan | β | β | π | 3.5 | 699 |
Don Quijote | Nakano City | Tokyo | Japan | β | β | π | 3.5 | 2019 |
Don Quijote Ogikubo... | Suginami City | Tokyo | Japan | β | β | π | 3.3 | 934 |
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.
334 (9%)
Fukuoka
Fukuoka contributes about 9% of all listings.
298 (8%)
Tokyo
Tokyo contributes about 8% of all listings.
200 (5%)
Saitama
Saitama contributes about 5% of all listings.
State | Listings |
---|---|
Fukuoka | 334 (8.56%) |
Tokyo | 298 (7.64%) |
Saitama | 200 (5.13%) |
Kumamoto | 164 (4.20%) |
Hyogo | 163 (4.18%) |
Chiba | 135 (3.46%) |
Kanagawa | 120 (3.08%) |
Oita | 116 (2.97%) |
Aichi | 110 (2.82%) |
Yamaguchi | 109 (2.79%) |
Check out the 10 random cities with the highest number of listings for a detailed regional breakdown.
City | Listings |
---|---|
Osaka | 84 (2.15%) |
Fukuoka | 83 (2.13%) |
Kumamoto | 72 (1.85%) |
Kitakyushu | 57 (1.46%) |
Oita | 49 (1.26%) |
Yokohama | 44 (1.13%) |
Miyazaki | 44 (1.13%) |
KobΓ© | 43 (1.10%) |
Saitama | 41 (1.05%) |
Himeji | 28 (0.72%) |
What Data Do We Provide?
Our dataset for Discount stores in Japan is one of the most comprehensive in the industry. As of June, 2025, we have compiled data on 3,901 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 β Fukuoka β there are over 334 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 theyβre 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 Discount stores in Japan in multiple formats (JSON, CSV, etc.). Our data covers everything from accurate contact details to comprehensive location insightsβempowering your business decisions.
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