Kuwait Restaurants, Cafes, and Bakeries Dataset

An extensive dataset providing detailed information on Kuwait's vibrant restaurant, cafe, and bakery scene, ideal for market research and strategic business planning.

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

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

16136

Total Number of records
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4.2 out of 5 stars

Average Customer Ratings for Restaurants
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3205

Number of Restaurants with Website
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9695

Number of Restaurants with Phone Numbers
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Download a Sample of the Kuwait's 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 Kuwait's culinary landscape with our dataset, providing key statistics on restaurant densities, customer preferences, and food industry trends in various regions.

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

Use Cases

How can this dataset benefit you?

Customer Preference Analysis

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

Market Expansion Strategy

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

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 dataset highlights the average customer ratings for restaurants in Kuwait, offering insights into the overall satisfaction level of patrons. These ratings are key indicators of service quality, culinary standards, and the dining experience, aiding businesses in benchmarking and improving their offerings.

Most Popular Cafe Types Among Millennials

In Kuwait, the dataset reveals a trend towards artisanal and specialty coffee shops among millennials. These cafes, known for their quality brews and unique atmospheres, are becoming increasingly popular, aligning with global trends in coffee consumption and café culture.

Top Locations for Bakeries Based on Foot Traffic

The dataset identifies the most frequented areas for bakeries in Kuwait, particularly in bustling urban centers and shopping districts. These locations are characterized by high foot traffic, making them ideal spots for bakeries to attract both local residents and tourists.

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.

What is the frequency of data updates?

Data is updated monthly to provide the latest traffic insights.

Is the dataset GIS-compatible?

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

What types of data points are included?

The dataset includes comprehensive details such as establishment names, locations, cuisine types, operating hours, customer ratings, and contact information.

Muneeb Rehman
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