Saudi Arabia Banks, ATMs and Financial Institutions Distibutions Dataset

Access detailed information on the distribution of banks, ATMs, and financial institutions across Saudi Arabia. Our comprehensive dataset is essential for market analysis, urban planning, and strategic decisions in the financial sector.

Extensive Financial Institutions Distribution Analysis of Saudi Arabia

Explore the spatial distribution of banks, ATMs, and financial institutions in Saudi Arabia. Our dataset provides crucial data on accessibility, concentration, and trends, vital for informed decision-making and strategic planning in the financial industry.

17289

Total Number of records
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7 banks per 10,000 square kilometers

Banking Institution Density in Saudi Arabia
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15 ATMs per 10,000 people

ATM Accessibility and Concentration
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Commercial banks, Islamic banks, and specialized financial entities

Variety of Financial Institutions in Saudi Arabia
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Download a Sample of the Saudi Arabia Financial Distribution Dataset

Get a preview of the financial landscape in Saudi Arabia. Our sample dataset offers insights into the distribution of banks, ATMs, and diverse financial institutions, showcasing its value for strategic insights and decision-making.

Key Variables

Explore the spatial distribution of banks, ATMs, and financial institutions in Saudi Arabia. Our dataset provides crucial data on accessibility, concentration, and trends, vital for informed decision-making and strategic planning in the financial industry.

Name
Description
Type
traffic_score
Double precision score representing the traffic to the point of interest.
double precision
sequence
A bigint sequence number for ordering records.
bigint
geometry
A user-defined type containing geometric data for mapping purposes.
USER-DEFINED
website
Text containing the website URL related to the point of interest.
text
collection_date
Text indicating when the information was collected or last updated.
text
description
Double precision detailed description of the point of interest.
double precision
keywords_used_in_search
Text of keywords used in searches to find the point of interest.
text
img_links
Text containing links to images associated with the point of interest.
text
poi_news
Text relating to news articles about the point of interest.
text
poi_time_zone
Text indicating the time zone of the point of interest.
text
poi_website
Text containing the website URL of the point of interest.
text
meal_weekly_trends
Text trends of weekly meal-related traffic, relevant for dining establishments.
text
properties
Text describing additional properties of the point of interest.
text
hotel_services
Double precision value indicating the level of services offered by a hotel.
double precision
hotel_rank
Double precision rank of the hotel, if applicable.
double precision
day_traffic_trends
Text trends of daily traffic to the point of interest.
text
traffic_label
Text label describing the traffic at the point of interest.
text
photos
Text containing links to photos of the point of interest.
text
online_visibility
Text indicating the online visibility of the point of interest.
text
is_closed
Text stating whether the point of interest is currently closed.
text
reservations
Text indicating whether reservations are needed or available.
text
price_range_icons
Text representation for the price range icons at the point of interest.
text
longitude
The longitude coordinate with double precision.
double precision
phone
Text containing the phone number for the point of interest.
text
price_range
Text indicating the price range of the point of interest.
text
reviews_no
Double precision number indicating the amount of reviews.
double precision
rate
Double precision rating for the point of interest.
double precision
map_link
Text link to a map showing the location of the point of interest.
text
services
Text description of services offered at the point of interest.
text
district
The text name of the district where the point of interest is located.
text
province
The text name of the province where the point of interest is located.
text
tags
Text tags categorizing the point of interest.
text
latitude
The latitude coordinate with double precision.
double precision
address_text
The full text address of the point of interest.
text
poi_name
The text name of the point of interest.
text
place_id
A unique text identifier for the point of interest.
text
country
The text name of the country where the point of interest is located.
text

Use Cases

How can this dataset benefit you?

Market Expansion Strategies

Utilize financial distribution data to identify optimal locations for expanding banking services and ATMs in Saudi Arabia.

Urban Development Planning

Support city planners and authorities in designing urban spaces with enhanced financial accessibility through well-distributed banks and ATMs.

Investment Decision Support

Make informed investment decisions in the financial sector by analyzing the concentration and types of financial institutions across Saudi Arabia.

Unleash the power of xMap

Banking Institution Density in Saudi Arabia

Saudi Arabia exhibits a diverse density of banking institutions, with a concentration of approximately 7 banks per 10,000 square kilometers, providing insights into the accessibility of financial services across the nation.

ATM Accessibility and Concentration

The dataset reveals the accessibility and concentration of ATMs in urban and rural areas, with an average of 15 ATMs per 10,000 people, aiding in strategic planning for enhanced financial convenience.

Variety of Financial Institutions in Saudi Arabia

There is a varied landscape of financial institutions in Saudi Arabia, including commercial banks, Islamic banks, and specialized financial entities, contributing to a dynamic and robust financial sector.

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Frequently Asked Questions

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

How frequently is the Saudi Arabia Financial Distribution dataset updated?

This dataset undergoes regular updates to provide the latest information on the distribution and trends of banks, ATMs, and financial institutions in Saudi Arabia.

Can this dataset be integrated with other data for more comprehensive analysis?

Absolutely. It can be seamlessly integrated with economic, demographic, and geographic datasets for a holistic analysis of Saudi Arabia's financial landscape.

Does the dataset include specific details on the types of financial services offered by institutions?

Yes, it includes detailed information on the types of financial institutions, their services, and their geographic distribution, offering a comprehensive view of the financial sector in Saudi Arabia.

Muneeb Rehman
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