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Global Supermalls List
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About
This dataset presents a partial compilation of the world's largest shopping malls, specifically those with a gross leasable area (GLA) of at least 250,000 square metres (2,700,000 square feet). It offers key details about these significant global retail hubs, providing insight into their size, location, and operational attributes.
Columns
- Rank: An integer indicating the mall's position in the list.
- Mall: A string representing the name of the shopping mall. There are 56 unique mall names included.
- Country: A string indicating the country where the mall is located. There are 20 unique countries, with the Philippines and China being among the most represented.
- City (metropolitan area): A string detailing the city or metropolitan area of the mall. There are 47 unique cities, including Bangkok and Jakarta.
- Year opened: An integer indicating the year the mall commenced operations. There are 33 unique opening years, with 2013 being a notable year.
- Gross leasable area (GLA): A string specifying the mall's gross leasable area, typically in square metres and square feet. There are 37 unique GLA values, with 250,000 m2 (2,700,000 sq ft) being common.
- Shops: An integer representing the estimated number of shops within the mall.
Distribution
The dataset is provided as a CSV file, named 'Largest-Malls.csv', and has a file size of 4.89 kB. It contains 7 columns and appears to list 56 distinct records or rows, with all column entries being valid.
Usage
This dataset is ideal for various applications, including market research in the retail sector, geographical analysis of large commercial developments, educational studies on urban planning and global economy, and for understanding the scale of retail infrastructure worldwide. It can be used for business intelligence, academic research, or general interest in large-scale shopping destinations.
Coverage
The dataset's geographic scope is global, focusing on "the world's largest shopping malls". Specific countries such as the Philippines and China, and cities like Bangkok and Jakarta, are represented. The time range is captured through the 'Year opened' column, which indicates mall opening dates spanning various years, including 2005 and 2013. The data does not contain demographic information about specific groups of people but pertains to physical retail locations.
License
CC0: Public Domain
Who Can Use It
This dataset is suitable for:
- Businesses: For retail analytics, market expansion planning, and competitive analysis in the shopping centre industry.
- Researchers and Academics: For studies on urban development, economic geography, and consumer behaviour trends related to large retail spaces.
- Students: As a resource for projects and assignments focusing on global business, retail, or urban studies.
- Data Enthusiasts: For exploring global retail infrastructure and practising data analysis skills.
Dataset Name Suggestions
- Global Supermalls List
- World's Major Shopping Centres
- Largest Malls by GLA
- International Retail Giants Data
Attributes
Original Data Source: Global Supermalls List
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