17 datasets found
  1. Starbucks_storelocations

    • kaggle.com
    Updated Mar 30, 2022
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    Rich Scinto (2022). Starbucks_storelocations [Dataset]. https://www.kaggle.com/datasets/richscinto/starbucks-storelocations
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 30, 2022
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Rich Scinto
    Description

    Locations of Starbucks stores in NY, CT, NJ, PA, CA and Mass. Other states in the dataset may have incomplete data.

  2. Total Starbucks locations globally 2003-2024

    • statista.com
    Updated Jun 26, 2025
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    Statista (2025). Total Starbucks locations globally 2003-2024 [Dataset]. https://www.statista.com/statistics/266465/number-of-starbucks-stores-worldwide/
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    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    There were ****** Starbucks stores worldwide in 2024. This figure also included other segments owned by the coffee-chain, such as Siren Retail. Starbucks units have grown almost every year over the past twenty years. The only drop was in 2009, most likely due to the global financial crisis. Global expansion has ultimately allowed the coffee-chain to almost double its number of locations over the past 10 years. Where are Starbucks stores located? When looking at Starbucks stores by country, most were located in the U.S., the company’s home nation. In 2024, there were more than ** thousand Starbucks locations in the U.S. alone. Despite the U.S. having more stores than any other country, the company’s international presence has shown tremendous growth. Beginning in 2018, there were more international Starbucks stores than in the U.S., a gap which has since widened considerably. Will Starbucks do delivery? Starbucks launched a pilot partnership with Uber Eats in late 2018, allowing them to deliver items from a selected delivery menu to consumers’ homes. The company also developed the Starbucks app for customers to pre-order and pay for items before pick-up. With the global revenue of the online food delivery market reaching *** trillion U.S. dollars in 2024, Starbucks along with many other companies has evolved to capitalize on this online market.

  3. Number of Starbucks stores worldwide 2018-2024, by region

    • statista.com
    Updated Jun 26, 2025
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    Statista (2025). Number of Starbucks stores worldwide 2018-2024, by region [Dataset]. https://www.statista.com/statistics/218366/number-of-international-and-us-starbucks-stores/
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    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    World-famous coffeehouse chain, Starbucks, accounted for ****** stores worldwide in 2024. Overall, the company had over ************** more stores located internationally than in North America. These figures amounted to ****** and ******, respectively. Starbucks' global expansion The Seattle-based company’s worldwide expansion has made it one of the most successful and well-known coffeehouse chains in history. Its store count isn’t the only thing that has grown over the years, so has its revenue. Starbucks recorded its highest revenue in 2024 at over ** billion U.S. dollars. Despite the company's revenue falling to ***** billion in 2020, Starbucks' revenue surpassed pre-pandemic levels in 2021. What Starbucks products do consumers like best? The company’s central product being coffee, it comes as no surprise that the ***************** has been the number one source of revenue for Starbucks over the last decade. However, the coffeehouse chain also offers a broader range of beverages, including teas, hot chocolates, smoothies and iced drinks. Food sales also contribute to the company's overall revenue.

  4. m

    Starbucks Corporation - Cash-Conversion-Cycle

    • macro-rankings.com
    csv, excel
    Updated Jul 10, 2024
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    macro-rankings (2024). Starbucks Corporation - Cash-Conversion-Cycle [Dataset]. https://www.macro-rankings.com/Markets/Stocks?Entity=SBUX.US&Item=Cash-Conversion-Cycle
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    excel, csvAvailable download formats
    Dataset updated
    Jul 10, 2024
    Dataset authored and provided by
    macro-rankings
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    united states
    Description

    Cash-Conversion-Cycle Time Series for Starbucks Corporation. Starbucks Corporation, together with its subsidiaries, operates as a roaster, marketer, and retailer of coffee worldwide. The company operates through three segments: North America, International, and Channel Development. Its stores offer coffee, tea, and other beverages, roasted whole beans and ground coffees, single serve products, and ready-to-drink beverages; and various food products, such as pastries, breakfast sandwiches, and lunch items. The company also licenses its trademarks through licensed stores, and grocery and foodservice accounts. The company offers its products under the Starbucks Coffee, Teavana, Seattle's Best Coffee, Ethos, and Starbucks Reserve brands. It partners with Global Food Banking Network support food security and reduce food waste. Starbucks Corporation was founded in 1971 and is based in Seattle, Washington.

  5. N

    Starbuck, WA Population Breakdown by Gender and Age Dataset: Male and Female...

    • neilsberg.com
    csv, json
    Updated Feb 19, 2024
    + more versions
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    Neilsberg Research (2024). Starbuck, WA Population Breakdown by Gender and Age Dataset: Male and Female Population Distribution Across 18 Age Groups // 2024 Edition [Dataset]. https://www.neilsberg.com/research/datasets/8e6e5daf-c989-11ee-9145-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Feb 19, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Washington, Starbuck
    Variables measured
    Male and Female Population Under 5 Years, Male and Female Population over 85 years, Male and Female Population Between 5 and 9 years, Male and Female Population Between 10 and 14 years, Male and Female Population Between 15 and 19 years, Male and Female Population Between 20 and 24 years, Male and Female Population Between 25 and 29 years, Male and Female Population Between 30 and 34 years, Male and Female Population Between 35 and 39 years, Male and Female Population Between 40 and 44 years, and 8 more
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. To measure the three variables, namely (a) Population (Male), (b) Population (Female), and (c) Gender Ratio (Males per 100 Females), we initially analyzed and categorized the data for each of the gender classifications (biological sex) reported by the US Census Bureau across 18 age groups, ranging from under 5 years to 85 years and above. These age groups are described above in the variables section. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the population of Starbuck by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Starbuck. The dataset can be utilized to understand the population distribution of Starbuck by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Starbuck. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Starbuck.

    Key observations

    Largest age group (population): Male # 65-69 years (10) | Female # 55-59 years (14). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

    Age groups:

    • Under 5 years
    • 5 to 9 years
    • 10 to 14 years
    • 15 to 19 years
    • 20 to 24 years
    • 25 to 29 years
    • 30 to 34 years
    • 35 to 39 years
    • 40 to 44 years
    • 45 to 49 years
    • 50 to 54 years
    • 55 to 59 years
    • 60 to 64 years
    • 65 to 69 years
    • 70 to 74 years
    • 75 to 79 years
    • 80 to 84 years
    • 85 years and over

    Scope of gender :

    Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

    Variables / Data Columns

    • Age Group: This column displays the age group for the Starbuck population analysis. Total expected values are 18 and are define above in the age groups section.
    • Population (Male): The male population in the Starbuck is shown in the following column.
    • Population (Female): The female population in the Starbuck is shown in the following column.
    • Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Starbuck for each age group.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Starbuck Population by Gender. You can refer the same here

  6. N

    Dataset for Starbuck, MN Census Bureau Demographics and Population...

    • neilsberg.com
    Updated Jul 24, 2024
    + more versions
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    Neilsberg Research (2024). Dataset for Starbuck, MN Census Bureau Demographics and Population Distribution Across Age // 2024 Edition [Dataset]. https://www.neilsberg.com/research/datasets/b7b6e8e0-5460-11ee-804b-3860777c1fe6/
    Explore at:
    Dataset updated
    Jul 24, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Minnesota, Starbuck
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Starbuck population by age. The dataset can be utilized to understand the age distribution and demographics of Starbuck.

    Content

    The dataset constitues the following three datasets

    • Starbuck, MN Age Group Population Dataset: A complete breakdown of Starbuck age demographics from 0 to 85 years, distributed across 18 age groups
    • Starbuck, MN Age Cohorts Dataset: Children, Working Adults, and Seniors in Starbuck - Population and Percentage Analysis
    • Starbuck, MN Population Pyramid Dataset: Age Groups, Male and Female Population, and Total Population for Demographics Analysis

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

  7. Revenue distribution of Starbucks 2009-2024, by product type

    • statista.com
    Updated Jun 26, 2025
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    Statista (2025). Revenue distribution of Starbucks 2009-2024, by product type [Dataset]. https://www.statista.com/statistics/219513/starbucks-revenue-by-product-type/
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    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    During the 2024 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 **** 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 over *********** Starbucks stores worldwide in 2024, the company has established itself as one of the world’s leading coffeehouse chains. During that same year, Starbucks’ total assets amounted to approximately ***** billion U.S. dollars. This figure represents an increase of nearly ****billion U.S. dollars when compared to the previous year’s total of ***** billion in 2023. How much does Starbucks spend on advertising? Starbucks was valued at over ** billion U.S. dollars worldwide in 2024, making it the ******************** quick service restaurant brand in the world. In its fiscal year ending September 2023, 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.

  8. Seair Exim Solutions

    • seair.co.in
    Updated Apr 17, 2025
    + more versions
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    Seair Exim (2025). Seair Exim Solutions [Dataset]. https://www.seair.co.in
    Explore at:
    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Apr 17, 2025
    Dataset provided by
    Seair Exim Solutions
    Authors
    Seair Exim
    Area covered
    United States
    Description

    Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

  9. Starbucks revenue 2003-2024

    • statista.com
    • ai-chatbox.pro
    Updated Jun 26, 2025
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    Statista (2025). Starbucks revenue 2003-2024 [Dataset]. https://www.statista.com/statistics/266466/net-revenue-of-the-starbucks-corporation-worldwide/
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    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Starbucks’ net revenue reached ***** billion U.S. dollars in 2024. 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 2024. 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.

  10. Starbucks Corporation - Enterprise Tech Ecosystem Series

    • store.globaldata.com
    Updated Jun 30, 2021
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    GlobalData UK Ltd. (2021). Starbucks Corporation - Enterprise Tech Ecosystem Series [Dataset]. https://store.globaldata.com/report/starbucks-corporation-enterprise-tech-ecosystem-series/
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    Dataset updated
    Jun 30, 2021
    Dataset provided by
    GlobalDatahttps://www.globaldata.com/
    Authors
    GlobalData UK Ltd.
    License

    https://www.globaldata.com/privacy-policy/https://www.globaldata.com/privacy-policy/

    Time period covered
    2021 - 2025
    Area covered
    Global
    Description

    Starbucks Corp (Starbucks) is a specialty coffee retailer. It roasts, markets and retails specialty coffee. The company, through its stores, offers several blends of coffee, handcrafted beverages, merchandise, and food items. Starbucks also offers whole bean and ground coffee, readymade drinks, snacks, and other beverages. Its brands include Teavana, Evolution Fresh, Starbucks Reserve, Princi, Seattle’s Best Coffee and Ethos. The company, through its owned and licensed stores, has presence in Asia-Pacific, the Middle East, Africa, Europe, and the Americas. The company operates roasting, manufacturing facilities, warehouse, and distribution facilities in Nevada, Pennsylvania, Tennessee and Washington in the US; and China. Read More

  11. T

    Starbucks | SBUX - Selling And Administration Expenses

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 15, 2025
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    TRADING ECONOMICS (2025). Starbucks | SBUX - Selling And Administration Expenses [Dataset]. https://tradingeconomics.com/sbux:us:selling-and-administration-expenses
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    json, excel, xml, csvAvailable download formats
    Dataset updated
    Jun 15, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2000 - Aug 10, 2025
    Area covered
    United States
    Description

    Starbucks reported $677.2M in Selling and Administration Expenses for its fiscal quarter ending in June of 2025. Data for Starbucks | SBUX - Selling And Administration Expenses including historical, tables and charts were last updated by Trading Economics this last August in 2025.

  12. Number of Starbucks stores in China FY 2005-2024

    • statista.com
    • ai-chatbox.pro
    Updated Nov 21, 2024
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    Statista (2024). Number of Starbucks stores in China FY 2005-2024 [Dataset]. https://www.statista.com/statistics/277795/number-of-starbucks-stores-in-china/
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    Dataset updated
    Nov 21, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    In fiscal year 2024 ended October 1, there were 7,594 company-operated Starbucks stores in China, with 855 newly open stores and 65 closures. From roots to global reach Starbucks is the largest coffeehouse chain worldwide, with revenues of 29.8 billion U.S. dollars in 2024 and more than 40,000 stores across the globe. From its humble coffee bean-roasting origins in Seattle, Washington in 1971, Starbucks expanded rapidly during the 1980s and 1990s, opening its first store outside of North America in Tokyo, Japan in 1996. In January 1999, Starbucks opened its first store in Beijing, China and has since gone on to expand its fleet. Key markets As of October 2024, the country with the most Starbucks stores worldwide was the United States, where more than 18,000 stores were located. China ranked second ahead of South Korea and Japan. China was also the second largest revenue source for the company, in terms of geographical region. Besides the U.S. and China, the rest of the revenues came from Japan, Canada, and the UK in fiscal year 2024.

  13. Number of units of leading coffee shop and cafe chains in the U.S. 2024

    • statista.com
    Updated Jul 7, 2025
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    Statista (2025). Number of units of leading coffee shop and cafe chains in the U.S. 2024 [Dataset]. https://www.statista.com/statistics/920174/number-of-units-of-selected-leading-coffee-house-and-cafe-chains-in-the-us/
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    Dataset updated
    Jul 7, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    United States
    Description

    Starbucks had ****** stores in the United States in 2024, making it the leading coffee shop/cafe chain in the ranking in terms of units. Dunkin' and Dutch Bros Coffee followed with ***** and *** units, respectively.

  14. Key data on the coffee and snack shop industry in the U.S. 2025

    • statista.com
    Updated Jun 2, 2025
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    Statista (2025). Key data on the coffee and snack shop industry in the U.S. 2025 [Dataset]. https://www.statista.com/statistics/1174179/coffee-and-snack-shop-market-size-us/
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    Dataset updated
    Jun 2, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The market size of the coffee and snack shop sector in the United States totaled **** billion U.S. dollars as of April 2025. Meanwhile, the number of businesses reached nearly ****** and employment reached over *******.

  15. American Customer Satisfaction Index: Starbucks in the U.S. 2006-2025

    • statista.com
    Updated Jul 4, 2025
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    Statista (2025). American Customer Satisfaction Index: Starbucks in the U.S. 2006-2025 [Dataset]. https://www.statista.com/statistics/216719/starbucks-customer-satisfaction-in-the-us/
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    Dataset updated
    Jul 4, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Starbucks' American Customer Satisfaction Index (ACSI) score in the United States fluctuated from 2006 to 2025. However, Starbucks' ACSI score held steady at ** in 2025, showing no change from the previous year.

  16. Favorite coffee brands among consumers in the U.S. in 2023, by generation

    • statista.com
    Updated Jul 7, 2025
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    Statista (2025). Favorite coffee brands among consumers in the U.S. in 2023, by generation [Dataset]. https://www.statista.com/statistics/1450633/favorite-coffee-brands-among-us-consumers-by-generation/
    Explore at:
    Dataset updated
    Jul 7, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 2023
    Area covered
    United States
    Description

    According to a recent U.S. survey in 2023, Starbucks was chosen by approximately ** percent of Gen X, Millennials, and Gen Z consumers surveyed as their favorite coffee brand. By comparison, Baby Boomers seemed to prefer Dunkin'.

  17. Seair Exim Solutions

    • seair.co.in
    Updated Apr 14, 2025
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    Seair Exim (2025). Seair Exim Solutions [Dataset]. https://www.seair.co.in
    Explore at:
    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Apr 14, 2025
    Dataset provided by
    Seair Exim Solutions
    Authors
    Seair Exim
    Area covered
    United States
    Description

    Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

  18. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Rich Scinto (2022). Starbucks_storelocations [Dataset]. https://www.kaggle.com/datasets/richscinto/starbucks-storelocations
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Starbucks_storelocations

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CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Mar 30, 2022
Dataset provided by
Kagglehttp://kaggle.com/
Authors
Rich Scinto
Description

Locations of Starbucks stores in NY, CT, NJ, PA, CA and Mass. Other states in the dataset may have incomplete data.

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