Bahrain Restaurants, Cafes and Bakeries Dataset

An exhaustive dataset encompassing extensive details of restaurants, cafes, and bakeries across Bahrain, designed for market analysis and strategic planning in the food and beverage industry.

Detailed Insights for Bahrain's Restaurants, Cafes, and Bakeries Dataset

Dive deep into Bahrain's culinary landscape with our dataset, providing key statistics on restaurant densities, customer preferences, and food industry trends in various regions.

7437

Total Number of records
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4.1 out of 5 stars

Average Customer Ratings for Restaurants
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1082

Number of Restaurants with Website
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5600

Number of Restaurants with Phone Numbers
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Download a Sample of the Bahrain Restaurants, Bakeries, and Cafes Dataset

Explore a snapshot of Portugal's diverse culinary offerings. Our sample provides an insight into the depth of data available in our full dataset, highlighting key trends and opportunities within the food industry.

Key Variables

Dive deep into Bahrain's culinary landscape with our dataset, providing key statistics on restaurant densities, customer preferences, and food industry trends in various regions.

Name
Description
Type
geometry
Geometrical data of the location
String (JSON format)
sequence
Sequence number or order
Integer
hotel_rank
Ranking of the hotel within a system
Integer
hotel_services
Services specific to the hotel
List of Strings
img_links
Links to images of the location
List of Strings
collection_date
Date when the data was collected
Date
keywords_used_in_search
Keywords used in searches for the location
List of Strings
tarffic_label
Label describing traffic conditions
String
description
Description of the point of interest
String
poi_news
News related to the point of interest
List of Strings
poi_time_zone
Time zone of the point of interest
String
poi_website
Website of the point of interest
String (URL)
properties
Properties or characteristics of the location
List of Strings
meal_weekly_trends
Weekly trends for meal times
List of Integers
day_traffic_trends
Daily traffic trends
List of Integers
tags5
Quinary categorization tag
String
traffic_score
Score representing the amount of traffic
Integer
is_closed
Status of the location (open or closed)
Boolean
photos
Links to photos of the location
List of Strings
online_visibility
Visibility of the location online
Boolean
reservations
Information about reservation options
String
price_range
Price range (low, medium, high)
String
phone
Contact phone number
String
reviews_no
Number of reviews
Integer
rate
Average rating out of 5
Float
price_range_icons
Icons representing the price range
List of Strings
services
Services offered by the location
List of Strings
map_link
Link to the location on the map
String (URL)
tags4
Quaternary categorization tag
String
tags3
Tertiary categorization tag
String
country
Country where the location is situated
String
province
Province or state where the location is situated
String
tags1
Primary categorization tag
String
tags2
Secondary categorization tag
String
district
District where the location is situated
String
_geojson
GeoJSON format data representing geographical features
String (JSON format)
latitude
Latitude coordinate
Float
poi_name
Name of the point of interest
String
place_id
Unique identifier for the place
String
longitude
Longitude coordinate
Float
address_text
Full address of the location
String

Use Cases

How can this dataset benefit you?

Market Expansion Strategy

Utilize our dataset to identify under-served areas and potential markets for new restaurant, bakery, or cafe openings.

Customer Preference Analysis

Gain insights into consumer behavior and preferences to tailor your culinary offerings and marketing strategies.

Competitive Benchmarking

Compare your business with competitors in the region, understanding market share, customer ratings, and popular trends.

Unleash the power of xMap

Average Customer Ratings for Restaurants

The Bahrain Restaurants, Cafes, and Bakeries Dataset reveals an impressive average customer rating, reflecting the high standards of culinary excellence in the region. These ratings are a testament to the quality of service, diverse culinary offerings, and overall customer satisfaction.

Most Popular Cafe Types Among Millennials

Our dataset indicates a growing trend among millennials favoring specialty coffee shops and thematic cafes. These establishments, known for their unique ambiance and quality coffee blends, are increasingly popular, offering a blend of social experience and premium beverages.

Top Locations for Bakeries Based on Foot Traffic

Analysis from the dataset shows that bakeries located in commercial districts and near tourist attractions in Bahrain see the highest foot traffic. These areas, bustling with activity, are prime spots for bakeries, attracting both locals and tourists with their fresh, aromatic offerings.

Why xMap?

Download the list of 63,500 Restaurants in Florida based on their name, phone number, email, and other information.

Close Faster

23

Times more likely to acquire customers
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Improve Sales

4.5%

Of the total revenue because of data-driven innovations
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Retain More

6

Times more likely to retain customers
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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.

Can I integrate this data with other GIS tools?

Yes, our dataset is compatible with major GIS platforms, allowing for seamless integration and 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.

Muneeb Rehman
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