Context

Starbucks started as a roaster and retailer of whole bean and ground coffee, tea and spices with a single store in Seattle’s Pike Place Market in 1971. The company now operates more than 24,000 retail stores in 70 countries.

Content

This dataset includes a record for every Starbucks or subsidiary store location currently in operation as of February 2017.

Acknowledgements

This data was scraped from the Starbucks store locator webpage by Github user chrismeller.

Inspiration

What city or country has the highest number of Starbucks stores per capita? What two Starbucks locations are the closest in proximity to one another? What location on Earth is farthest from a Starbucks? How has Starbucks expanded overseas?

This dataset about Most Starbucks Stores is extracted from Flourish visualisation. If you want to know more about Flourish click here.

The United States and China topped the ranking of countries with the largest number of Starbucks stores worldwide as of September 2024. In that month, the famous U.S. coffeehouse chain had the most stores in its home country accounting for over 16 thousand stores. How much revenue does Starbucks generate globally? In 2024, the global net revenue of Starbucks increased over the previous year. This pattern been consistent since 2010, except for 2020, when a decline in net revenue occurred due to the impact of the coronavirus pandemic. Meanwhile, when looking at a breakdown of Starbucks' global revenue, the company reported that beverages accounted for the largest portion of its revenue globally. Is Starbucks the most popular coffee shop chain in the United States? In 2023, a survey conducted among coffee drinkers found that nearly half of the respondents named Starbucks as their favorite coffee brand in the United States. Following somewhat closely behind were other coffee shop chains like Dunkin’ and Folgers, ranking second and third, respectively. In 2024, Starbucks' American Customer Satisfaction (ACSI) score reached 80 out of 100.

The global coffeehouse chain, Starbucks, had 1,603 stores in Canada in 2024. Most of the chain's establishments were company-operated, a figure amounting to exactly 997 stores, while the remaining 486 stores were licensed. In recent years, the number of licensed Starbucks stores in Canada has seen consistent growth. How many Starbucks stores are there worldwide? In 2023, the number of Starbucks stores worldwide exceeded 40 thousand. Starbucks stores have increased almost every year over the past decade. The only exception was in 2009, most likely due to the global financial crisis. Global expansion has ultimately allowed the coffee-chain to roughly double its number of locations over the past 10 years. In 2024, the number of international Starbucks stores was 21,775 How many Tim Hortons restaurants are in the U.S.? With over 5 thousand restaurants worldwide, Tim Hortons was one of the largest quick service chains in Canada as of 2023. During that year, the Toronto-based quick service restaurant chain operated and franchised a total of 5,833 restaurants across the globe. The vast majority of these restaurants were located in its home nation of Canada, and the second largest number of Tim Hortons restaurants were found in the United States.

During the 2025 financial year, Starbucks generated a majority of its global revenue from ***************** which amounted to ***** billion U.S. dollars. In comparison, the revenue from its ************* amounted to over ******billion U.S. dollars. The drop in revenue from 2019 to 2020 can be at least partly attributed to the coronavirus (COVID-19) pandemic. What are Starbucks’ total assets? With almost *******Starbucks stores worldwide in 2025, the company has established itself as one of the world’s leading coffeehouse chains. During that same year, Starbucks’ total assets amounted to over ** billion U.S. dollars. This figure represents an increase of nearly *** million U.S. dollars when compared to the previous year’s total of ******billion in 2024. How much does Starbucks spend on advertising? Starbucks was valued at over ** billion U.S. dollars worldwide in 2025, making it the ******************** quick service restaurant brand in the world. In its fiscal year ending September 2024, Starbucks’ advertising costs totaled roughly *** million U.S. dollars. This figure represents an increase in global advertising investments compared to the previous year, in which the coffeehouse chain spent ******million U.S. dollars promoting its products and services.

💁‍♀️Please take a moment to carefully read through this description and metadata to better understand the dataset and its nuances before proceeding to the Suggestions and Discussions section.

📑Description:

This dataset contains the environmental part of Starbucks Global Environmental & Social Impact Report for Fiscal Year 2022 (FY22). The report focuses on Starbucks' efforts, initiatives, and progress toward minimizing its environmental footprint and contributing to sustainability. It provides insights into the company's strategies, achievements, and targets related to various environmental aspects.

📊Content:

The dataset includes a PDF document of the Starbucks Global Environmental Impact Report for FY22. The report covers a wide range of topics, including:

• Energy Consumption (MWh)
• Greenhouse Gas Emissions (mtCO2e)
• Packaging Materials (thousand metric tons)
• Plastic Packaging Materials (thousand metric tons)
• Operational Waste (thousand metric tons)
• Water Withdrawals (megaliters)

🌝Usage:

This dataset serves as a valuable resource for researchers, analysts, and enthusiasts interested in understanding Starbucks' commitment to environmental sustainability. Analysts can extract information, trends, and data points from the report to analyze Starbucks' progress in achieving its sustainability goals. Researchers can use the dataset to study Starbucks' environmental policies and practices, helping to inform discussions and decisions in the field of corporate sustainability. Moreover, the insights gained from their research will contribute to shaping informed dialogues and pivotal decisions within the realm of corporate sustainability.

💾Data Preparation:

The dataset is derived from the Starbucks Global Environmental & Social Impact Report for FY22, which consists of publicly accessible fiscal year data. The initial dataset was sourced from a PDF document, an impractical format for data analysis. To facilitate effective analysis, I meticulously transcribed the data from the PDF into a PostgreSQL database managed by pgAdmin 4.

Throughout this process, I addressed various challenges including missing data entries, most notably the complete absence of data for the year 2020. To handle these gaps, I assigned Null values to the corresponding data points. Additionally, I introduced a dedicated year column and restructured the data by transforming the rows and columns to enhance the dataset's suitability for time series analysis.

This comprehensive data preparation effort ensures that the dataset is now ready for meaningful exploration, analysis, and insights into Starbucks' environmental impact trends.

💁‍♀️Attribution:

When using this dataset, please make sure to properly attribute the original data to Starbucks Corporation by referencing the primary source as "Starbucks Global Environmental and Social Impact Report FY22." This data maintainer is not affiliated with Starbucks Corporation or any third-party entity.

🛑Disclaimer:

The dataset is provided for educational, research, and analysis purposes only. The accuracy and completeness of the data are based on the original report published by Starbucks Corporation. Users are encouraged to refer to the official Starbucks website and publications for the most up-to-date and accurate information.

This statistic shows the unit sales of Starbucks energy drinks in the United States from 2015 to 2024. According to the report, U.S. sales of Starbucks energy drinks amounted to approximately 27.84 million units for the 13 weeks ended on January 4, 2025.

This dataframe set is intended to be used as a benchmark (mostly by me in my research, but I encourage other scientists to use it) to test the efficiency and effectiveness of various feature selection methods in solving regression problems. It consists of two parts. The first part is transformed (some insignificant variables are removed; factor variables are dummyized; the dependent variable is always the first) and cleaned dataframes, the original databases of which are already available on kaggle:

Most Streamed Spotify Songs 2024 https://www.kaggle.com/datasets/nelgiriyewithana/most-streamed-spotify-songs-2024

Student Performance Dataset https://www.kaggle.com/datasets/devansodariya/student-performance-data

Healthcare Insurance https://www.kaggle.com/datasets/willianoliveiragibin/healthcare-insurance

House Rent Prediction Dataset https://www.kaggle.com/datasets/iamsouravbanerjee/house-rent-prediction-dataset?select=House_Rent_Dataset.csv

New York Housing Market https://www.kaggle.com/datasets/nelgiriyewithana/new-york-housing-market

HR Analytics Dataset https://www.kaggle.com/datasets/anshika2301/hr-analytics-dataset?select=HR_Analytics.csv

Superstore Sales https://www.kaggle.com/datasets/bhanupratapbiswas/superstore-sales

Starbucks https://www.kaggle.com/datasets/henryshan/starbucks

Fast Food Nutrition https://www.kaggle.com/datasets/joebeachcapital/fast-food

Sales of a Supermarket https://www.kaggle.com/datasets/lovishbansal123/sales-of-a-supermarket

Latest Data Science Salaries https://www.kaggle.com/datasets/iamsouravbanerjee/data-science-salaries-2023?select=v7_Latest_Data_Science_Salaries.csv

E-Commerce Dataset https://www.kaggle.com/datasets/malaiarasugraj/e-commerce-dataset

London House Price Data https://www.kaggle.com/datasets/jakewright/house-price-data

Danish Residential Housing Prices 1992-2024 https://www.kaggle.com/datasets/martinfrederiksen/danish-residential-housing-prices-1992-2024?select=DKHousingPricesSample100k.csv

The second part is the generated databases, which contain significant numeric variables (variable names start with SN), significant binary variables (variable names start with SF) and corresponding insignificant variables (prefixes NSN and NSF, respectively).

A notebook with the code for generation is attached.

Global coffeehouse chain Starbucks reported a net income amounting to 3.76 billion U.S. dollars during the 2024 financial year. This shows a decrease over the previous year's total of 4.12 billion U.S. dollars.

Starbucks’ net revenue reached ***** billion U.S. dollars in 2025. This shows an increase over the previous year's total of ******billion U.S. dollars. The global coffeehouse chain has seen a year-over-year increase in revenue over the past decade, except for the decline in 2020 which could be attributed to stay-at-home measures implemented due to the coronavirus (COVID-19) pandemic. How many Starbucks stores are there? In recent years, Starbucks has expanded exponentially, more than doubling its units over the past 10 years. The number of Starbucks stores worldwide exceeded ** thousand in 2025. This figure also included other segments owned by the coffee-chain such as Siren Retail and Teavana. In that year, Starbucks had the most stores ***************************. Countries the company has expanded to include Turkey, Taiwan, and Indonesia. Starbucks units have grown almost every year over the past decade. The only drop was in 2009, most likely due to the global financial crisis. What Starbucks products are the most popular? While Starbucks is primarily a coffeehouse chain it also offers consumers a variety of other products. These include beverages such as teas, hot chocolates, smoothies and iced drinks, and a selection of food products. Perhaps unsurprisingly, the Starbucks revenue breakdown showed that the sale of beverages has been the number one source of revenue for the chain over the last decade. Meanwhile, food sales have also been a large contributor to Starbucks’ revenue in recent years.

Global coffeehouse chain, Starbucks, reported an operating income of 5.41 billion U.S. dollars from its operations worldwide in 2024. This figure shows an decrease over the previous year's total of 5.87 billion. The company's operating income peaked in 2023.

This dataset ranks the top 10 UK coffee shop, café, and dessert parlour brands based on forecasted outlet numbers as of December 2025. It provides a snapshot of market presence by brand and highlights the leading players in the out-of-home coffee and dessert sectors.

This dataset showcases the top 10 branded coffee and sandwich shop chains in the UK ranked by forecasted net outlet growth between December 2024 and December 2025. It includes both absolute and percentage growth figures, providing insight into the fastest-growing brands within the sector.

This dataset compares the price of coffee across leading sandwich and bakery chains in the UK. It highlights pricing differences between operators, providing insight into competitive positioning and pricing strategy within the out-of-home coffee market.

This dataset outlines the various occasions on which consumers purchase coffee out-of-home in the UK. It categorises consumption by purpose or context—such as on-the-go, breakfast, social, work-related, and treat—providing valuable insight into consumer behaviour and usage trends within the coffee shop market.