Tokyo | Hotels | Points of Interests | Japan

A detailed dataset of over 3,100 hotels and hostels in Tokyo, featuring geographic coordinates, reviews, amenities, and address information. Perfect for travel enthusiasts, urban developers, and hospitality analysts seeking actionable insights into Tokyo’s accommodation trends.

Some Insights About the Data

The dataset provides detailed information about hotels and hostels in Tokyo, offering valuable insights into various attributes, including geographic coordinates, reviews, amenities, and contact details.

3190

Total Number of records
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2615

Records with Phone Numbers
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2788

Records with Reviews or Ratings
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2290

Records with Website Information
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AccessTokyo Hotels Points of Interest Data

Here’s an overview of the data structure and the types of information included, with example entries for different hotels.

Key Variables

The dataset provides detailed information about hotels and hostels in Tokyo, offering valuable insights into various attributes, including geographic coordinates, reviews, amenities, and contact details.

Name
Description
Type
poi_name
Name of the hotel or hostel
String
geometry
Geometrical data representing the location
String (JSON format)
country
Country where the location is situated
String
place_id
Unique identifier for the place
String
day_traffic_trends
Traffic trends over days of the week
String (JSON/List)
tarffic_label
Label describing traffic conditions
String
traffic_score
Score representing the traffic or popularity
Float
keywords_used_in_search
Keywords used to search for the location
String
description
Additional descriptive text about the location
String
kwrd
Keyword categorizing the place (e.g., "hotel", "hostel")
String
poi_time_zone
Time zone of the point of interest
String
properties
Additional features or attributes of the location
String
hotel_rank
Rank of the hotel in its category
Integer
rate
Rating score
Float
province
Province where the location is situated
String
district
District or area of the location
String
address_text
Full address of the location
String
photos
Number or links to photos available for the location
String
phone
Contact phone number
String
reviews_no
Number of reviews for the hotel or hostel
Float
poi_website
Website URL of the hotel or hostel
String (URL)
longitude
Longitude coordinate of the location
Float
tags
Categorization tags (e.g., "Hostel", "Hotel")
List of Strings
latitude
Latitude coordinate of the location
Float

Use Cases

How can this dataset benefit you?

Tourism and Travel Insights

Analyze hotel and hostel distribution to identify areas with high tourist density but limited accommodation options, supporting the development of new hotels or improvement of existing facilities to meet demand.

Customer Experience Enhancement

Leverage customer reviews, ratings, and traffic patterns to understand guest preferences, enabling hotels to optimize amenities, pricing, and overall service quality.

Competitive Analysis

Use location-based data and service-level attributes to conduct competitive analysis, enabling hotels to benchmark their performance, guest satisfaction, and market positioning against competitors.

What details about Tokyo hotels and hostels are provided in this dataset?

The dataset offers detailed insights into hotels and hostels in Tokyo, including their names, websites, geospatial coordinates (latitude and longitude), customer ratings, and review counts. It also provides contact details (phone numbers), addresses, traffic patterns, meal trends, and service tags (e.g., hostel, hotel, restaurant). This data is valuable for tourism analysis, enhancing guest experiences, strategic planning for the hospitality sector, and supporting urban development efforts.

How many hotels and hostels are there in Tokyo?

The dataset provides an in-depth overview of Tokyo's hospitality landscape, encompassing 3,190 points of interest (POIs) that include hotels, hostels, and other types of accommodations. The most prevalent tag is "Hotel," appearing 2,414 times, which underscores the dominance of traditional hotel accommodations in Tokyo. Other notable categories include "Japanese-style business hotel" (624 occurrences), and "Japanese inn" (249 occurrences) highlighting the variety of lodging options available.

The data also reveals niche categories such as "Capsule hotel" (88 occurrences) and "Serviced accommodation" (95 occurrences), catering to unique traveler needs. Furthermore, categories like "Restaurant" (62 occurrences) and "Cafe" (31 occurrences) indicate the integration of dining options within lodging facilities. Less common tags such as "Gym," "Garden," and "Working women's hostel," each with a single occurrence, reflect the specialized services offered by certain establishments.

This diverse distribution of accommodation types demonstrates Tokyo's ability to cater to a broad range of traveler preferences, from traditional and budget-friendly stays to luxury and specialized lodging experiences. Such data provides valuable insights for stakeholders in the tourism and hospitality industry, aiding in market analysis, strategic planning, and service enhancement.

Analyzing Phone Number Availability Across Tokyo's Hospitality Sector

Out of the total entries, 2,615 accommodations (approximately 82%) have listed phone numbers, indicating a strong commitment to accessibility and customer support within the hospitality sector.

On the other hand, 575 accommodations (around 18%) lack phone contact details, which may reflect an opportunity for improvement in providing better communication channels for potential guests. Ensuring comprehensive contact information can enhance customer convenience, build trust, and improve the overall guest experience, particularly for international travelers who may require assistance before arrival.

Insights from Hotel Reviews in Tokyo: Trends and Opportunities

The histogram illustrates the distribution of review counts for hotels and hostels in the Tokyo dataset. The vast majority of points of interest (POIs) have relatively low numbers of reviews, with a significant spike in the range of 0 to 500 reviews. This suggests that most accommodations receive limited customer feedback, potentially indicating smaller-scale operations or less visibility in online platforms.

As the number of reviews increases, the frequency of POIs decreases sharply, with very few accommodations surpassing the 2,500-review mark. However, there are a small number of outliers with exceptionally high review counts (beyond 10,000), which likely represent prominent or highly popular establishments such as large hotels or well-known chains.

Top 10 Hotels by Reviews number are shown below.Tokyo's top hotels, led by Shinagawa Prince Hotel (18,992 reviews) and Keio Plaza Hotel Tokyo (13,939), highlight the city's premier accommodations. Luxury options like Hotel Gajoen Tokyo and international brands such as Hilton Tokyo showcase a blend of local and global excellence in hospitality.

Hotel Star Rating Distribution in Tokyo

The dataset reveals the distribution of star ratings among Tokyo's hotels, providing insights into the city's accommodation landscape. The majority of hotels are categorized as 3-star accommodations, with 763 establishments, highlighting a strong mid-range hospitality sector. 2-star hotels follow with 398, catering to budget-conscious travelers. Higher-end options include 4-star hotels with 132 and 5-star hotels with 39, showcasing a presence of luxury accommodations. 1-star hotels, with 80 entries, represent a smaller segment of the market, likely catering to highly budget-oriented travelers. This distribution underscores Tokyo's ability to cater to diverse traveler needs, from budget-friendly stays to luxury experiences.

Visitation Trends in Tokyo's Hospitality Sector

A significant majority, 197 establishments, experience above average visitation, indicating their popularity among travelers. This is followed by 15 establishments categorized under average visitation, reflecting moderate foot traffic. Only 4 accommodations fall under the highly visited category, suggesting a small subset of extremely popular destinations, likely well-known landmarks or luxury hotels. These findings highlight a concentration of moderately popular locations while indicating opportunities to increase visibility and attract higher traffic for underperforming establishments.

Analysis of Photo Availability in Tokyo Hotels Dataset

The dataset reveals that a significant majority of hotels in Tokyo have photos available, with a total of 2,862 hotels providing visual content. In contrast, 328 hotels have their photos not available. This indicates that approximately 89.7% of the hotels in the dataset include photos, while 10.3% do not. The high availability of photos is crucial for enhancing customer decision-making and improving the user experience in travel planning. However, the absence of photos for some hotels highlights an area for improvement in ensuring a consistent and comprehensive dataset.

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Frequently Asked Questions

Find answers to commonly asked questions about our spatial analyst platform.

How frequently is the dataset updated?

We update our data quarterly, ensuring you have access to the most current information.

Is the dataset GIS-compatible?

Yes, it seamlessly integrates with most GIS platforms for comprehensive spatial analysis.

Can I request a custom dataset focusing on a specific area or cuisine?

Absolutely! We offer bespoke datasets tailored to your specific business needs.