The dataset comprises transactional information from previous 5 years from Walmart retail stores, with diverse details such as customer demographics, order specifics, product attributes, and sales logistics. It includes data on the city where purchases were made, customer age, names, and segments, along with any applied discounts and the quantity of products ordered. Each transaction is uniquely identified by an order ID, accompanied by order date, priority, and shipping details like mode, cost, and dates. Product-related information encompasses base margins, categories, containers, names, and sub-categories, enabling insights into profitability, sales, and regional performance. The dataset also provides granular details such as profit margins, unit prices, and ZIP codes, facilitating analysis at multiple levels like customer behavior, product performance, and operational efficiencies within Walmart's retail ecosystem.

The columns in dataset are:

1. City: The city where the purchase was made.
2. Customer Age: Age of the customer making the purchase.
3. Customer Name: Name of the customer.
4. Customer Segment: Segment to which the customer belongs (like retail, wholesale, etc.).
5. Discount: Any discount applied to the purchase.
6. Number of Records: The count of records for each transaction.
7. Order Date: Date when the order was placed.
8. Order ID: Unique identifier for each order.
9. Order Priority: Priority level of the order (like high, medium, low).
10. Order Quantity: Quantity of products ordered.
11. Product Base Margin: Base margin percentage for the product.
12. Product Category: Category to which the product belongs (like electronics, groceries, etc.).
13. Product Container: Container type of the product.
14. Product Name: Name of the product.
15. Product Sub-Category: Sub-category to which the product belongs.
16. Profit: Profit earned from the transaction.
17. Region: Region where the purchase was made.
18. Row ID: Unique identifier for each row.
19. Sales: Total sales amount.
20. Ship Date: Date when the order was shipped.
21. Ship Mode: Mode of shipping (like standard, express, etc.).
22. Shipping Cost: Cost associated with shipping.
23. State: State where the purchase was made.
24. Unit Price: Price per unit of the product.
25. Zip Code: ZIP code of the customer or store location.

When it comes to share of people who bought groceries at Walmart in the United States, ** percent of 18 - 29 year olds do so in the U.S. This is according to exclusive insights from the Consumer Insights Global survey which shows that ** percent of 30 - 49 year old consumers also fall into this category.Statista Consumer Insights offer you all results of our exclusive Statista surveys, based on more than ********* interviews.

In 2020, white consumers accounted for nearly ** percent of spending at Walmart in the United States, while Hispanics represented almost ** percent. Meanwhile, Asians represented *** percent of the consumer spending share.

Introduction

Walmart Statistics: Walmart Inc., established by Sam Walton in 1962, has grown to become the world's largest retailer, renowned for its "Everyday Low Prices" strategy. Headquartered in Bentonville, Arkansas, Walmart operates over 10,500 stores and numerous eCommerce websites across 19 countries, serving approximately 240 million customers each week.

The company's vast product range includes groceries, apparel, electronics, and more, catering to diverse consumer needs. Beyond retail, Walmart is committed to sustainability, aiming for 100% renewable energy by 2030 and zero emissions by 2040. With over 2.1 million associates globally, Walmart remains a pivotal force in retail and employment, continually evolving to meet modern challenges and opportunities.

This article will guide you accordingly, as it includes more information about the global market based on recent data and analyses from different sources.

This statistic shows the share of Walmart and Walmart Supercenter customers in the United States as of 2016, sorted by ethnicity. As of 2016, it was found that ** percent of Walmart and Walmart Supercenter shoppers were White non-Hispanic.

In fiscal year 2024, there were approximately 255 million customer visits each week to Walmart stores throughout the world, up from 240 million on a weekly average a year earlier. Walmart Walmart was founded in 1962 by Sam Walton when he and his brother James “Bud” Walton opened the first Wal-Mart Discount City in Rogers, Arkansas. Since then, Walmart has grown to become the largest publicly-owned retail company in the world. In 2024, the retailer reached around 648 billion U.S. dollars in revenues, and about 643 billion in net sales. Store count Walmart had a total of 10,616 retail stores throughout the world as of January 31, 2024. The company also operated 368 distribution facilities. In total Walmart operated 10,984 stores. Compared to 2021, there was a significant drop in the number of stores due to the fact that in the first quarter of fiscal 2022, the company terminated its operations in the United Kingdom and Japan. In the U.S. alone the company totaled 4,615 locations, of which 3,560 were supercenter stores and 695 were neighborhood markets.

Walmart Inc. engages in the operation of retail, wholesale, other units, and eCommerce worldwide. The company operates through three segments: Walmart U.S., Walmart International, and Sam's Club. It operates supercenters, supermarkets, hypermarkets, warehouse clubs, cash and carry stores, and discount stores under Walmart and Walmart Neighborhood Market brands; membership-only warehouse clubs; ecommerce websites, such as walmart.com.mx, walmart.ca, flipkart.com, PhonePe and other sites; and mobile commerce applications. The company offers grocery and consumables, including dairy, meat, bakery, deli, produce, dry, chilled or frozen packaged foods, alcoholic and nonalcoholic beverages, floral, snack foods, candy, other grocery items, health and beauty aids, paper goods, laundry and home care, baby care, pet supplies, and other consumable items; fuel, tobacco and other categories. It is also involved in the provision of health and wellness products covering pharmacy, optical and hearing services, and over-the-counter drugs and other medical products; and home and apparel including home improvement, outdoor living, gardening, furniture, apparel, jewelry, tools and power equipment, housewares, toys, seasonal items, mattresses and tire and battery centers. In addition, the company offers consumer electronics and accessories, software, video games, office supplies, appliances, and third-party gift cards. Further, it operates digital payment platforms; and offers financial services and related products, including money transfers, bill payments, money orders, check cashing, prepaid access, co-branded credit cards, installment lending, and earned wage access. Additionally, the company markets lines of merchandise under private brands, including Allswell, Athletic Works, Equate, and Free Assembly. The company was formerly known as Wal-Mart Stores, Inc. and changed its name to Walmart Inc. in February 2018. Walmart Inc. was founded in 1945 and is based in Bentonville, Arkansas.

This statistic shows the share of Walmart and Walmart Supercenter customers in the United States as of 2016, sorted by income. As of 2016, it was found that **** percent of Walmart and Walmart Supercenter shoppers had an income of between ****** and ****** U.S. dollars.

As of January 31, 2025, Walmart had a total of 3,559 supercenter stores throughout the United States and 691 neighborhood markets. How many Walmart stores are in the United States? Walmart U.S. store number totaled 4,605 throughout the United States as of January 31, 2025. Walmart, formerly known as Wal-Mart Stores, Inc., is one of the most well-known and valuable brands in the world. As of 2025, Walmart had a total of 11,150 properties throughout the world, of which 10,771 were retail stores. Walmart began in the United States as a single discount store, whose model was to sell more for less. Nowadays, Walmart has discount stores, supercenters, and neighborhood markets around the world. The multinational company has developed into the largest retailer in the world. Powerhouse of retail in both domestic and international markets Walmart deals in a wide variety of products, such as groceries, apparel, furniture, home appliances, and electronics. The company operates through three distinct business segments: Walmart U.S., Walmart International, and Sam’s Club. Walmart’s strongest segment, in terms of revenue, is Walmart U.S., which operates retail stores in the company’s domestic market of the United States. This segment also includes Walmart’s U.S. eCommerce website: walmart.com. The company’s Walmart International and Sam’s Club business divisions operate globally generating revenue through retail, wholesale, membership club, and online product sales. As of 2024, around 69 percent of Walmart’s net sales came from the company’s Walmart U.S. division.

Financial overview and grant giving statistics of Wal-Mart Foundation

Demographics Analysis with Consumer Edge Credit & Debit Card Transaction Data

Consumer Edge is a leader in alternative consumer data for public and private investors and corporate clients. CE Transact Signal is an aggregated transaction feed that includes consumer transaction data on 100M+ credit and debit cards, including 14M+ active monthly users. Capturing online, offline, and 3rd-party consumer spending on public and private companies, data covers 12K+ merchants and deep demographic and geographic breakouts. Track detailed consumer behavior patterns, including retention, purchase frequency, and cross shop in addition to total spend, transactions, and dollars per transaction.

Consumer Edge’s consumer transaction datasets offer insights into industries across consumer and discretionary spend such as: • Apparel, Accessories, & Footwear • Automotive • Beauty • Commercial – Hardlines • Convenience / Drug / Diet • Department Stores • Discount / Club • Education • Electronics / Software • Financial Services • Full-Service Restaurants • Grocery • Ground Transportation • Health Products & Services • Home & Garden • Insurance • Leisure & Recreation • Limited-Service Restaurants • Luxury • Miscellaneous Services • Online Retail – Broadlines • Other Specialty Retail • Pet Products & Services • Sporting Goods, Hobby, Toy & Game • Telecom & Media • Travel

This data sample illustrates how Consumer Edge data can be used to compare demographics breakdown (age and income excluded in this free sample view) for one company vs. a competitor for a set period of time (Ex: How do demographics like wealth, ethnicity, children in the household, homeowner status, and political affiliation differ for Walmart vs. Target shopper?).

Inquire about a CE subscription to perform more complex, near real-time demographics analysis functions on public tickers and private brands like: • Analyze a demographic, like age or income, within a state for a company in 2023 • Compare all of a company’s demographics to all of that company’s competitors through most recent history

Consumer Edge offers a variety of datasets covering the US and Europe (UK, Austria, France, Germany, Italy, Spain), with subscription options serving a wide range of business needs.

Use Case: Demographics Analysis

Problem A global retailer wants to understand company performance by age group.

Solution Consumer Edge transaction data can be used to analyze shopper transactions by age group to understand: • Overall sales growth by age group over time • Percentage sales growth by age group over time • Sales by age group vs. competitors

Impact Marketing and Consumer Insights were able to: • Develop weekly reporting KPI's on key demographic drivers of growth for company-wide reporting • Reduce investment in underperforming age groups, both online and offline • Determine retention by age group to refine campaign strategy • Understand how different age groups are performing compared to key competitors

Corporate researchers and consumer insights teams use CE Vision for:

Corporate Strategy Use Cases • Ecommerce vs. brick & mortar trends • Real estate opportunities • Economic spending shifts

Marketing & Consumer Insights • Total addressable market view • Competitive threats & opportunities • Cross-shopping trends for new partnerships • Demo and geo growth drivers • Customer loyalty & retention

Investor Relations • Shareholder perspective on brand vs. competition • Real-time market intelligence • M&A opportunities

Most popular use cases for private equity and venture capital firms include: • Deal Sourcing • Live Diligences • Portfolio Monitoring

Public and private investors can leverage insights from CE’s synthetic data to assess investment opportunities, while consumer insights, marketing, and retailers can gain visibility into transaction data’s potential for competitive analysis, understanding shopper behavior, and capturing market intelligence.

Most popular use cases among public and private investors include: • Track Key KPIs to Company-Reported Figures • Understanding TAM for Focus Industries • Competitive Analysis • Evaluating Public, Private, and Soon-to-be-Public Companies • Ability to Explore Geographic & Regional Differences • Cross-Shop & Loyalty • Drill Down to SKU Level & Full Purchase Details • Customer lifetime value • Earnings predictions • Uncovering macroeconomic trends • Analyzing market share • Performance benchmarking • Understanding share of wallet • Seeing subscription trends

Fields Include: • Day • Merchant • Subindustry • Industry • Spend • Transactions • Spend per Transaction (derivable) • Cardholder State • Cardholder CBSA • Cardholder CSA • Age • Income • Wealth • Ethnicity • Political Affiliation • Children in Household • Adults in Household • Homeowner vs. Renter • Business Owner • Retention by First-Shopped Period ...

Dataset Description :

This is the historical data that covers sales from 2010-02-05 to 2012-11-01, in the file Walmart_Store_sales. Within this file you will find the following fields:

Store - the store number

Date - the week of sales

Weekly_Sales - sales for the given store

Holiday_Flag - whether the week is a special holiday week 1 – Holiday week 0 – Non-holiday week

Temperature - Temperature on the day of sale

Fuel_Price - Cost of fuel in the region

CPI – Prevailing consumer price index

Unemployment - Prevailing unemployment rate

Holiday Events Super Bowl: 12-Feb-10, 11-Feb-11, 10-Feb-12, 8-Feb-13 Labour Day: 10-Sep-10, 9-Sep-11, 7-Sep-12, 6-Sep-13 Thanksgiving: 26-Nov-10, 25-Nov-11, 23-Nov-12, 29-Nov-13 Christmas: 31-Dec-10, 30-Dec-11, 28-Dec-12, 27-Dec-13

Analysis Tasks

Basic Statistics tasks

1) Which store has maximum sales

2) Which store has maximum standard deviation i.e., the sales vary a lot. Also, find out the coefficient of mean to standard deviation

3) Which store/s has good quarterly growth rate in Q3’2012

4) Some holidays have a negative impact on sales. Find out holidays which have higher sales than the mean sales in non-holiday season for all stores together

5) Provide a monthly and semester view of sales in units and give insights

Statistical Model

For Store 1 – Build prediction models to forecast demand

Linear Regression – Utilize variables like date and restructure dates as 1 for 5 Feb 2010 (starting from the earliest date in order). Hypothesize if CPI, unemployment, and fuel price have any impact on sales.

Change dates into days by creating new variable.

Select the model which gives best accuracy.

Analysis of ‘Walmart Dataset (Retail)’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/rutuspatel/walmart-dataset-retail on 20 November 2021.

--- Dataset description provided by original source is as follows ---

Dataset Description :

This is the historical data that covers sales from 2010-02-05 to 2012-11-01, in the file Walmart_Store_sales. Within this file you will find the following fields:

Store - the store number

Date - the week of sales

Weekly_Sales - sales for the given store

Holiday_Flag - whether the week is a special holiday week 1 – Holiday week 0 – Non-holiday week

Temperature - Temperature on the day of sale

Fuel_Price - Cost of fuel in the region

CPI – Prevailing consumer price index

Unemployment - Prevailing unemployment rate

Holiday Events Super Bowl: 12-Feb-10, 11-Feb-11, 10-Feb-12, 8-Feb-13 Labour Day: 10-Sep-10, 9-Sep-11, 7-Sep-12, 6-Sep-13 Thanksgiving: 26-Nov-10, 25-Nov-11, 23-Nov-12, 29-Nov-13 Christmas: 31-Dec-10, 30-Dec-11, 28-Dec-12, 27-Dec-13

Analysis Tasks

Basic Statistics tasks

1) Which store has maximum sales

2) Which store has maximum standard deviation i.e., the sales vary a lot. Also, find out the coefficient of mean to standard deviation

3) Which store/s has good quarterly growth rate in Q3’2012

4) Some holidays have a negative impact on sales. Find out holidays which have higher sales than the mean sales in non-holiday season for all stores together

5) Provide a monthly and semester view of sales in units and give insights

Statistical Model

For Store 1 – Build prediction models to forecast demand

Linear Regression – Utilize variables like date and restructure dates as 1 for 5 Feb 2010 (starting from the earliest date in order). Hypothesize if CPI, unemployment, and fuel price have any impact on sales.

Change dates into days by creating new variable.

Select the model which gives best accuracy.

--- Original source retains full ownership of the source dataset ---

This statistic shows the share of Walmart and Walmart Supercenter customers in the United States as of 2016, sorted by generation. As of 2016, it was found that **** percent of Walmart and Walmart Supercenter shoppers were baby boomers.

Financial overview and grant giving statistics of Wal-Mart Associates in Critical Need Fund

In the first quarter of 2025, online retail accounted for around ** percent of Walmart China's (including Sam's Club) total retail sales. Walmart China's e-commerce penetration has remained around ** to ** percent since the second quarter of 2023.

Walmart opens its first fully owned beef facility in Kansas to combat rising beef prices by eliminating middlemen, enhancing supply chain transparency, and focusing on sustainable sourcing.

Symbotic has acquired Walmart's robotics division for $200 million, enhancing its automated supply chain capabilities. This move increases Symbotic's market presence and strengthens its ongoing collaboration with Walmart.

The online fresh groceries market is experiencing robust growth, driven by increasing consumer preference for convenience, a wider selection of products, and technological advancements enabling efficient delivery and order fulfillment. The market's value in 2025 is estimated at $250 billion, exhibiting a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This signifies a substantial expansion, projecting a market value exceeding $800 billion by 2033. Key drivers include the rising adoption of e-commerce, particularly among younger demographics, coupled with the increasing penetration of smartphones and reliable internet access. Furthermore, innovative business models like subscription services, personalized recommendations, and advanced logistics solutions are fueling this growth. The market is segmented by various factors, including product type (fruits, vegetables, dairy, etc.), delivery model (home delivery, click-and-collect), and consumer demographics. Major players like Amazon, Walmart, and Alibaba are investing heavily in infrastructure and technology to enhance their market share. However, challenges remain. Maintaining the quality and freshness of produce during transit and storage is a crucial aspect that requires continuous improvement in cold-chain logistics. Consumer concerns regarding food safety and product spoilage can act as restraints. Competition is fierce, necessitating strategic pricing, effective marketing, and a strong customer service approach for success. Expansion into underserved markets and catering to diverse consumer preferences are also essential for sustained growth within the online fresh groceries sector. The strategic focus on personalization, sustainable practices, and seamless integration of technology will define the success of companies in this dynamic market.