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.

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

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.

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 (9) | Female # 20-24 years (18). 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 *********************** 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 **************** accounting for over ** 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 ********* 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 *******************, ranking second and third, respectively. In 2024, Starbucks' American Customer Satisfaction (ACSI) score reached *************.

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.

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, MN was for the group of age 55 to 59 years years with a population of 117 (8.95%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Starbuck, MN was the 80 to 84 years years with a population of 20 (1.53%). 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

Starbucks revenue for the twelve months ending March 31, 2025 was $36.347B, a 0.5% decline year-over-year. Starbucks annual revenue for 2024 was $36.176B, a 0.56% increase from 2023. Starbucks annual revenue for 2023 was $35.976B, a 11.55% increase from 2022. Starbucks annual revenue for 2022 was $32.25B, a 10.98% increase from 2021.

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.

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 presents median household incomes for various household sizes in Starbuck, MN, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

Key observations

• Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, Starbuck did not include 6, or 7-person households. Across the different household sizes in Starbuck the mean income is $87,270, and the standard deviation is $40,090. The coefficient of variation (CV) is 45.94%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
• In the most recent year, 2021, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $26,572. It then further increased to $120,027 for 5-person households, the largest household size for which the bureau reported a median household income.

https://i.neilsberg.com/ch/starbuck-mn-median-household-income-by-household-size.jpeg" alt="Starbuck, MN median household income, by household size (in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Household Sizes:

• 1-person households
• 2-person households
• 3-person households
• 4-person households
• 5-person households
• 6-person households
• 7-or-more-person households

Variables / Data Columns

• Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific household size.

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

As of the third quarter of 2023, Starbucks had ***** stores in Europe. The European country with the most Starbucks stores was the **************, with *** Starbucks stores. This was followed by ****** with *** stores and ****** with *** Starbucks stores. Comparatively, there were only ** Starbucks stores in Italy.

This dataset tracks annual american indian student percentage from 1994 to 2023 for Starbuck - An Ib World School vs. Wisconsin and Racine Unified School District

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.

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 *******.

About this dataset

Context

The dataset tabulates the data for the Starbuck, MN population pyramid, which represents the Starbuck population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Starbuck, MN, is 24.7.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Starbuck, MN, is 46.1.
• Total dependency ratio for Starbuck, MN is 70.8.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Starbuck, MN is 2.2.

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 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 for the selected age group is shown in the following column.
• Population (Female): The female population in the Starbuck for the selected age group is shown in the following column.
• Total Population: The total population of the Starbuck for the selected age group is shown in the following column.

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

About this dataset

Context

The dataset tabulates the population of Starbuck by race. It includes the population of Starbuck across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Starbuck across relevant racial categories.

Key observations

The percent distribution of Starbuck population by race (across all racial categories recognized by the U.S. Census Bureau): 91.89% are white, 0.15% are Black or African American, 0.15% are American Indian and Alaska Native, 3.06% are Asian and 4.74% are multiracial.

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 (excluding ethnicity) for the Starbuck
• Population: The population of the racial category (excluding ethnicity) 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 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

In the 52 weeks ended May 17, 2020, Folgers was the leading ground coffee brand in the United States, accounting for about over 25 percent of the U.S. ground coffee market. Starbucks ranked in second place, with a market share of around 12 percent.

Coffee brands in the United States

The leading coffee brand of 2020, Folgers Coffee, produced over one billion U.S. dollars in sales in the United States that year. Dunkin’, which stood in fifth place, reached sales numbers of about 315 million U.S. dollars. In the previous year, private labels dominated the single-cup coffee brand sales list in the United States. Private labels single-cup sales amounted to about 950 million U.S. dollars. Other major brands on the list included Starbucks and Keurig Donut Shop.

Coffee brands in U.S. C-stores

Stok was by far the most popular brand of cold brew coffee bought in C-stores (convenience stores) in the United States in 2019. C-store sales of Stok cold brew coffee reached nearly 7 million U.S. dollars that year. Within that year’s cappuccino/iced coffee category, Starbucks Frappuccino and Doubleshot each generated the highest sales figures in the country.

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 majority of female population, with 64.76% 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