There were 40,199 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 16 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 1.1 trillion U.S. dollars in 2024, Starbucks along with many other companies has evolved to capitalize on this online market.

About this dataset

Context

The dataset tabulates the population of Starbuck by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Starbuck across both sexes and to determine which sex constitutes the majority.

Key observations

There is a slight majority of female population, with 50.34% of total population being female. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

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. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Starbuck is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Starbuck total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset tabulates the Starbuck population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Starbuck. The dataset can be utilized to understand the population distribution of Starbuck by age. For example, using this dataset, we can identify the largest age group in Starbuck.

Key observations

The largest age group in Starbuck, WA was for the group of age 55 to 59 years years with a population of 25 (23.81%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Starbuck, WA was the Under 5 years years with a population of 0 (0%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 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

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Starbuck is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Starbuck total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Age. You can refer the same here

World-famous coffeehouse chain, Starbucks, accounted for 40,199 stores worldwide in 2024. Overall, the company had over three thousand more stores located internationally than in North America. These figures amounted to 21,775 and 18,424, 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 36 billion U.S. dollars. Despite the company's revenue falling to 19.16 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 sale of beverages 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.

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.

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 # 55-59 years (63) | Female # 85+ years (69). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 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

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.

Comprehensive POI data for all Starbucks locations in the US and Canada. It supports an in-depth analysis of the world's largest coffeehouse chain, essential for competitive intelligence in the cafe and quick-service restaurant sectors.

Starbucks’ net revenue reached 36.18 billion U.S. dollars in 2024. This shows an increase over the previous year's total of 35.98 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 40 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 outside of its home country. 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.

During the 2024 financial year, Starbucks generated a majority of its global revenue from beverage products which amounted to 21.88 billion U.S. dollars. In comparison, the revenue from its food products amounted to 6.75 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 40 thousand 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 31.34 billion U.S. dollars. This figure represents an increase of nearly two billion U.S. dollars when compared to the previous year’s total of 29.45 billion in 2023. How much does Starbucks spend on advertising? Starbucks was valued at over 69 billion U.S. dollars worldwide in 2024, making it the second most valuable quick service restaurant brand in the world. In its fiscal year ending September 2023, Starbucks’ advertising costs totaled roughly 507 million U.S. dollars. This figure represents an increase in global advertising investments compared to the previous year, in which the coffeehouse chain spent 416.7 million U.S. dollars promoting its products and services.

About this dataset

Context

The dataset tabulates the Starbuck population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Starbuck across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2022, the population of Starbuck was 121, a 1.63% decrease year-by-year from 2021. Previously, in 2021, Starbuck population was 123, an increase of 2.50% compared to a population of 120 in 2020. Over the last 20 plus years, between 2000 and 2022, population of Starbuck increased by 4. In this period, the peak population was 129 in the year 2018. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2022

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2022)
• Population: The population for the specific year for the Starbuck is shown in this column.
• Year on Year Change: This column displays the change in Starbuck population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Year. You can refer the same here

As of the third quarter of 2023, Starbucks had 2,794 stores in Europe. The European country with the most Starbucks stores was the United Kingdom with 911 Starbucks stores. This was followed by Turkey with 676 stores and France with 238 Starbucks stores. Comparatively, there were only 31 Starbucks stores in Italy.

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.

Starbucks' American Customer Satisfaction Index (ACSI) score in the United States fluctuated from 2006 to 2024. Starbucks had an ACSI score of 80 in 2024, which was two points higher than the previous year's score of 78.

Starbucks reported $9.4B in Sales Revenues for its fiscal quarter ending in December of 2024. Data for Starbucks | SBUX - Sales Revenues including historical, tables and charts were last updated by Trading Economics this last March in 2025.

This statistic shows the number of quarts of Starbucks ice cream eaten within one month in the United States in 2020. The data has been calculated by Statista based on the U.S. Census data and Simmons National Consumer Survey (NHCS). According to this statistic, 2.29 million Americans consumed 4 or more quarts in 2020.

The market size of the coffee and snack shop sector in the United States totaled 68.5 billion U.S. dollars as of August 2024. Meanwhile, the number of businesses reached nearly 78,000 and employment reached over 900,000.

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in Starbuck, MN, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.

Key observations

• Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 16,076, while the mean income for the highest quintile (20% of households with the highest income) is 183,436. This indicates that the top earners earn 11 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 275,145, which is 150% higher compared to the highest quintile, and 1711.53% higher compared to the lowest quintile.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income Levels:

• Lowest Quintile
• Second Quintile
• Third Quintile
• Fourth Quintile
• Highest Quintile
• Top 5 Percent

Variables / Data Columns

• Income Level: This column showcases the income levels (As mentioned above).
• Mean Household Income: Mean household income, in 2023 inflation-adjusted dollars for the specific income level.

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 median household income. You can refer the same here

About this dataset

Context

The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Starbuck: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..

Key observations

• Upon closer examination of the distribution of households among age brackets, it reveals that there are 31(5.18%) households where the householder is under 25 years old, 157(26.25%) households with a householder aged between 25 and 44 years, 189(31.61%) households with a householder aged between 45 and 64 years, and 221(36.96%) households where the householder is over 65 years old.
• The age group of 25 to 44 years exhibits the highest median household income, while the largest number of households falls within the 65 years and over bracket. This distribution hints at economic disparities within the city of Starbuck, showcasing varying income levels among different age demographics.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income brackets:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $100,000 to $124,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Household Income: This column showcases 16 income brackets ranging from Under $10,000 to $200,000+ ( As mentioned above).
• Under 25 years: The count of households led by a head of household under 25 years old with income within a specified income bracket.
• 25 to 44 years: The count of households led by a head of household 25 to 44 years old with income within a specified income bracket.
• 45 to 64 years: The count of households led by a head of household 45 to 64 years old with income within a specified income bracket.
• 65 years and over: The count of households led by a head of household 65 years and over old with income within a specified income bracket.

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 median household income by age. You can refer the same here

About this dataset

Context

The dataset tabulates the Non-Hispanic population of Starbuck by race. It includes the distribution of the Non-Hispanic population of Starbuck across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Starbuck across relevant racial categories.

Key observations

Of the Non-Hispanic population in Starbuck, the largest racial group is White alone with a population of 1,181 (94.25% of the total Non-Hispanic population).

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (for Non-Hispanic) for the Starbuck
• Population: The population of the racial category (for Non-Hispanic) in the Starbuck is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Starbuck total Non-Hispanic population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Race & Ethnicity. You can refer the same here