Warehouses and Factories points of interest data in Japan– POI data
Containing data on 204,051 factories and warehouses within Japan, this dataset offers a comprehensive view of the industrial landscape in the country. Each entry includes vital information such as the facility’s name, address, contact details, website link, rating, reviews, and 30 additional attributes.
List of Factories and Warehouses in Japan
The Factories and Warehouses POI dataset for Japan provides a comprehensive collection of real-world locations that are identifiable and named, specifically focusing on factories and warehouses. These POIs include manufacturing plants, distribution centers, storage facilities, and other related services, facilitating efficient access and enhancing user experiences.
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Download Japan's Warehouses & Factories Points of Interest Data
This dataset employs various categorization methods to classify factories and warehouses based on type, subtype, location, and attributes. The type categorization encompasses broad classifications like food, chemical, textile, metal, machinery, electronics, etc., while subtypes offer finer granularity such as specific products or processes. Location data pinpoints the exact geographical coordinates of each factory or warehouse, enabling precise mapping. Furthermore, the dataset offers an array of attributes that furnish additional information about these factories and warehouses, such as contact details, operational hours, ratings, reviews, and other relevant data.
Key Variables
The Factories and Warehouses POI dataset for Japan provides a comprehensive collection of real-world locations that are identifiable and named, specifically focusing on factories and warehouses. These POIs include manufacturing plants, distribution centers, storage facilities, and other related services, facilitating efficient access and enhancing user experiences.
Use Cases
How can this dataset benefit you?
Use data-driven methods and best practices to compare your facility with others, identify areas of improvement, and plan your expansion, relocation, or consolidation strategies.
Segment and target your audience based on various criteria, such as location, price range, rating, reviews, traffic trends etc.
Plan your transportation and optimize your logistics based on the data locations and proximity.
Warehouses and Factories by Province
This shows the count of warehouses and factories in the provinces of Japan. Each point on the map represents warehouses and factories.Out of 204,051 warehouses and factories in Japan, Saitama has 13,221 warehouses and factories, which is the highest. Aichi Prefecture has 12,259 and is next in line followed by Shizuoka with 9,978. Though Tokyo is the capital, it has a lower number of warehouses and factories compared to Saitama, Aichi Prefecture, Shizuoka, Chiba, Kanagawa, and Hokkaido.
Traffic Score and Popularity of Warehouses and Factories
Traffic score shows the popularity of warehouses and factories.
Warehouses and factories in Japan that have high traffic and are highly visited are higher than those that have low, average, and above-average visitations.
Aichi Prefecture has the highest number of warehouses and factories that are highly visited (580) before Saitama. Wakayama Prefecture has the lowest number of warehouses and factories that are highly visited (51).
Ratings of Warehouses and Factories in Japan
14,916 out of 204,051 warehouses and factories in Japan have a 5-star rating and most of them are highly visited. The gas station with a 5-star rating and the highest number of reviews (268) is in Miyazaki Prefecture, Miyazaki City.
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Containing data on 204,051 factories and warehouses within Japan
According to the most recent national census in 2016, there were over 5.3 million non-governmental business establishments in Japan.
The main industries in Japan include manufacturing (particularly automobiles, consumer electronics, and precision instruments), services (including retailing, banking, insurance, transportation, real estate, and telecommunications), agriculture, fishing, and tourism.
