Portugal Restaurants, Bakeries and Cafes Dataset

An extensive dataset encompassing a comprehensive array of Portugal's culinary establishments. From local eateries to upscale restaurants, quaint bakeries to bustling cafes, this dataset offers detailed insights into Portugal's vibrant food scene.

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

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

91248

Total Number of records
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4.2 out of 5 stars

Average Customer Ratings for Restaurants
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450+ High-Traffic Areas

Top Locations for Bakeries Based on Foot Traffic
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35% Prefer Specialty Coffee Shops

Most Popular Cafe Types Among Millennials
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Download a Sample of the Portugal 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 Portugal's culinary landscape with our dataset, providing key statistics on restaurant densities, customer preferences, and food industry trends in various regions.

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

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

This statistic highlights the average customer ratings for restaurants in Portugal. It provides insights into the overall satisfaction levels of patrons visiting various types of dining establishments, from local eateries to high-end restaurants. This key metric helps gauge customer experience and can be crucial for restaurant owners and investors to understand the quality of services and food offered. High ratings typically correlate with better business performance, reflecting successful culinary experiences and customer service standards.

Top Locations for Bakeries Based on Foot Traffic

Focusing on the top locations for bakeries based on foot traffic, this statistic provides valuable data on the most popular areas for bakery businesses in Portugal. These areas are often characterized by high pedestrian counts, making them prime locations for bakery outlets. The stat is instrumental for entrepreneurs and existing bakery owners to identify potential spots for opening new bakeries or expanding their businesses. It reflects consumer behavior patterns and helps in understanding which locales are bakery hotspots, possibly influenced by factors like accessibility, local demographics, and vicinity to other attractions.

Most Popular Cafe Types Among Millennials

Highlighting the popularity of specialty coffee shops. It sheds light on the evolving trends in the café industry, driven by the tastes and preferences of a younger, more trend-sensitive demographic. This information is pivotal for café owners and investors looking to attract this segment of the market. The popularity of specialty coffee shops among millennials can be attributed to factors like the quality of coffee, the ambiance of the café, and the value placed on unique, artisanal experiences.

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.

Can I integrate this data with other GIS tools?

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

How frequently is the dataset updated?

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

Is this dataset suitable for small business owners?

Absolutely! Our dataset is designed to cater to businesses of all sizes, providing valuable insights to help you make informed decisions.

Muneeb Rehman
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