List of Car Washes in China
There are 731 Car washes in China. A random selection of cities, including Chaoyang and Daxing District , features a substantial number of Car washes locationsβ 48 in Chaoyang and 33 in Daxing District . Notably, Chaoyang accounts for approximately 6.57% of all Car washes locations in the China.
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 | |
---|---|---|---|---|---|---|---|---|
New Century Car Wash... | Lanzhou | Gansu | China | β | β | π | 0 | 0 |
Tongfa Car Wash Stor... | Xuchang | Henan | China | β | β | π | 0 | 0 |
Xinxin Car Wash Stor... | Zhengzhou | Henan | China | β | β | π | 0 | 0 |
Tongda Automatism Ca... | Xuchang | Henan | China | β | β | π | 0 | 0 |
Chejieshi Profession... | Zhengzhou | Henan | China | β | β | π | 0 | 0 |
Hongxingche Bathhous... | Zhengzhou | Henan | China | β | β | π | 0 | 0 |
Zhongyou Computer Au... | Zhengzhou | Henan | China | β | β | π | 0 | 0 |
Manyi Car Washing Ce... | Zhengzhou | Henan | China | β | β | π | 0 | 0 |
Haozailai Car Washin... | Haidian District | Beijing | China | β | β | π | 0 | 0 |
Lijie Car Wash Store | Shijingshan District | Beijing | China | β | β | π | 0 | 0 |
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.
196 (27%)
Beijing
Beijing contributes about 27% of all listings.
72 (10%)
Heilongjiang
Heilongjiang contributes about 10% of all listings.
67 (9%)
Inner Mongolia
Inner Mongolia contributes about 9% of all listings.
State | Listings |
---|---|
Beijing | 196 (26.81%) |
Heilongjiang | 72 (9.85%) |
Inner Mongolia | 67 (9.17%) |
Hebei | 59 (8.07%) |
Anhui | 43 (5.88%) |
Fujian | 32 (4.38%) |
Jilin | 28 (3.83%) |
Guangdong Province | 27 (3.69%) |
Liaoning | 26 (3.56%) |
Henan | 26 (3.56%) |
Check out the 10 random cities with the highest number of listings for a detailed regional breakdown.
City | Listings |
---|---|
Chaoyang | 48 (6.57%) |
Daxing District | 33 (4.51%) |
Langfang | 28 (3.83%) |
Mudanjiang | 27 (3.69%) |
Fengtai District | 27 (3.69%) |
Hohhot | 25 (3.42%) |
Yanbian Korean Autonomous Prefecture | 24 (3.28%) |
Haidian District | 21 (2.87%) |
Hulunbuir | 20 (2.74%) |
Xuzhou | 19 (2.60%) |
What Data Do We Provide?
Our dataset for Car washes in China is one of the most comprehensive in the industry. As of June, 2025, we have compiled data on 731 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 Beijing β there are over 196 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 Car washes in China 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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