Riyadh | Convenience Stores | Points of Interest

A detailed database containing essential information on ~10,000 convenience stores across Riyadh., tailored for industry professionals to enhance infrastructure planning, market analysis, and strategic development.

List of Convenience Stores in Riyadh

Access vital statistics crucial for convenience store decision-making in Riyadh, including store counts, contact details, ratings, reviews, and traffic scores.

10,606

Total Number of records
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6,354

Convenience Stores with phone numbers
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8,798

Convenience Stores with Ratings
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6,069

Convenience Stores with Traffic Label Data
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Download Riyadh’s Convenience Stores Points of Interest Data

Take a glimpse at the data structure and the type of information provided, showcasing sample entries of convenience stores.

Key Variables

Access vital statistics crucial for convenience store decision-making in Riyadh, including store counts, contact details, ratings, reviews, and traffic scores.

Name
Description
Type
place_id
Unique identifier for the place
String
_geojson
GeoJSON format data representing geographical features
String (JSON format)
keywords_used_in_search
Keywords used in searches for the location
list of strings
sequence
Sequence number or order
int64
geometry
Geometrical data of the location
string
img_links
Links to images of the location
list of strings (nullable)
collection_date
Date when the data was collected
datetime
description
Description of the point of interest
string (nullable)
poi_news
News related to the point of interest
string (nullable)
meal_weekly_trends
Weekly trends for meal times
list of float64
traffic_label
Label describing traffic conditions
string
properties
Properties or characteristics of the location
dict
poi_time_zone
Time zone of the point of interest
string
traffic_score
Score representing the amount of traffic
float64
day_traffic_trends
Daily traffic trends
list of float64
is_closed
Status of the location (open or closed)
float64 (nullable)
online_visibility
Visibility of the location online
string (nullable)
tags5
Quinary categorization tag
string (nullable)
phone
Contact phone number
string (nullable)
reservations
Information about reservation options
string (nullable)
price_range
Price range category (low, medium, high)
string (nullable)
photos
Links to photos of the location
string
reviews_no
Number of reviews
float64
rate
Average rating out of 5
float64
map_link
Link to the location on the map
string
price_range_icons
Icons representing the price range
string (nullable)
tags4
Quaternary categorization tag
string (nullable)
services
List of services offered
list of strings
tags3
Tertiary categorization tag
string (nullable)
tags2
Secondary categorization tag
string (nullable)
tags1
Primary categorization tag
string
tags
Combined categorization tags
list of strings
district
District where the location is situated
string
province
Province where the location is situated
string
country
Country where the location is situated
string
poi_name
Name of the point of interest
string
place_id
Unique identifier for the point of interest
string
poi_website
Website of the point of interest
string (nullable)
address_text
Full address of the location
string
latitude
Latitude coordinate
float64
longitude
Longitude coordinate
float64

Use Cases

How can this dataset benefit you?

Market Analysis and Strategic Expansion

Businesses can use this data to identify underserved areas in Riyadh where convenience stores are scarce but demand is high. By analyzing geographic data, population density, and traffic trends, companies can strategically expand their store networks to maximize customer reach and profitability. Additionally, demographic trends from district-specific data can help tailor store services and product offerings to the preferences of the local population.

Customer Experience Enhancement

The dataset’s rich information on ratings, reviews, and services allows businesses to understand customer preferences and pain points better. Companies can analyze this feedback to improve store offerings, streamline operations, and resolve common complaints. For instance, stores with lower ratings could focus on addressing service deficiencies, while high-performing stores might replicate their successful strategies across other locations.

Traffic and Operational Optimization

By utilizing traffic scores and visitation trends, businesses can optimize their operational efficiency. Stores can adjust staffing levels during peak hours, plan inventory to match demand patterns, and introduce promotions tailored to high-traffic periods. Weekly and daily trends, such as meal-related traffic, also provide insights into customer behavior, enabling businesses to align their schedules and offerings with consumer habits.

How many convenience stores are in Riyadh?

There are approximately 10,000 convenience stores in Riyadh, reflecting a broad and varied landscape of retail outlets catering to a wide range of consumer needs throughout the city. This significant number underscores the extensive retail infrastructure in place to support the daily needs of Riyadh's population, highlighting both the scale and the importance of convenient access to essential goods and services.

What are the main types of stores in the dataset?

The dataset includes a wide range of convenience store types, such as grocery stores (general, Asian, Indian, and more), bakeries, coffee shops, candy and chocolate stores, pharmacies, and supermarkets. Additionally, it covers specialty stores like butcher shops, fruit and vegetable markets, spice stores, and organic food stores, along with related establishments like gas stations, cafes, and small-scale retail outlets.

What are the top tags in the dataset?

Tag Frequency
Grocery store 4348
Supermarket 2425
سوبرماركت 874
متجر بقالة 823
Convenience store 312
General store 190
Produce market 117
سوق 99
مركز تسوق 93
متجر فواكه وخضروات 88

The table highlights tagging patterns for different types of stores, with "Grocery store" and "Supermarket" being the most frequent. Arabic terms also appear prominently, reflecting an Arabic context. The presence of both general and specific tags suggests varied user preferences and potential overlaps in how terms are applied. This insight can inform strategies for standardizing tags or improving search functionality.

How are traffic scores distributed across stores?

Most stores have traffic scores concentrated between 20 and 50, with a peak in the 30–40 range. Fewer stores have scores below 20 or above 60, suggesting a skewed distribution where the majority of stores experience moderate traffic levels. This data provides insight into typical store performance and highlights traffic variability among locations.

What is the distribution of ratings in the dataset?

Rate Count
0.0:0.5 0
0.5:1.0 182
1.0:1.5 19
1.5:2.0 110
2.0:2.5 127
2.5:3.0 544
3.0:3.5 902
3.5:4.0 2933
4.0:4.5 2106
4.5:5.0 1875

The majority of ratings fall between 3.5 and 4.5, with the highest concentration in the 3.5–4.0 range, indicating that most stores have above-average ratings. Ratings below 2.5 are relatively rare, showing a skew toward higher scores. This distribution highlights a generally favorable perception of stores in Riyadh, with only a small portion receiving low ratings.

Phone Numbers

Status Number of Convenience Stores
Have phone numbers 6354
Don't have phone numbers 4252

Out of a total of 10,606 records, 6,354 establishments have phone numbers, accounting for approximately 59.9% of the total. Meanwhile, 4,252 establishments, or about 40.1%, do not have phone numbers. This highlights a significant gap in contact information for a substantial portion of healthcare establishments.

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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.