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

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.

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 *************.

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.

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 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

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

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

Historical Dataset of Starbuck - An Ib World School is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (1987-2023),Total Classroom Teachers Trends Over Years (1990-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (1990-2023),American Indian Student Percentage Comparison Over Years (1994-2023),Asian Student Percentage Comparison Over Years (1989-2023),Hispanic Student Percentage Comparison Over Years (1991-2023),Black Student Percentage Comparison Over Years (1991-2023),White Student Percentage Comparison Over Years (1991-2023),Two or More Races Student Percentage Comparison Over Years (2013-2023),Diversity Score Comparison Over Years (1991-2023),Free Lunch Eligibility Comparison Over Years (1988-2023),Reduced-Price Lunch Eligibility Comparison Over Years (1999-2022),Reading and Language Arts Proficiency Comparison Over Years (2011-2022),Math Proficiency Comparison Over Years (2011-2022),Science Proficiency Comparison Over Years (2021-2022),Overall School Rank Trends Over Years (2011-2022)

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

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 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 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 presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Starbuck. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Starbuck, the median income for all workers aged 15 years and older, regardless of work hours, was $40,167 for males and $32,721 for females.

These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 19% between the median incomes of males and females in Starbuck. With women, regardless of work hours, earning 81 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thecity of Starbuck.

- Full-time workers, aged 15 years and older: In Starbuck, among full-time, year-round workers aged 15 years and older, males earned a median income of $60,114, while females earned $44,063, leading to a 27% gender pay gap among full-time workers. This illustrates that women earn 73 cents for each dollar earned by men in full-time roles. This analysis indicates a widening gender pay gap, showing a substantial income disparity where women, despite working full-time, face a more significant wage discrepancy compared to men in the same roles.

Remarkably, across all roles, including non-full-time employment, women displayed a similar gender pay gap percentage. This indicates a consistent gender pay gap scenario across various employment types in Starbuck, showcasing a consistent income pattern irrespective of employment status.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Gender classifications include:

• Male
• Female

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2023
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

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 race. 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

About this dataset

Context

The dataset presents a breakdown of households across various income brackets in Starbuck, MN, as reported by the U.S. Census Bureau. The Census Bureau classifies households into different categories, including total households, family households, and non-family households. Our analysis of U.S. Census Bureau American Community Survey data for Starbuck, MN reveals how household income distribution varies among these categories. The dataset highlights the variation in number of households with income, offering valuable insights into the distribution of Starbuck households based on income levels.

Key observations

• For Family Households: In Starbuck, the majority of family households, representing 16.26%, earn $75,000 to $99,999, showcasing a substantial share of the community families falling within this income bracket. Conversely, the minority of family households, comprising 0.0%, have incomes falling $100,000 to $124,999, representing a smaller but still significant segment of the community.
• For Non-Family Households: In Starbuck, the majority of non-family households, accounting for 17.65%, have income $10,000 to $14,999, indicating that a substantial portion of non-family households falls within this income bracket. On the other hand, the minority of non-family households, comprising 0.0%, earn $100,000 to $124,999, representing a smaller, yet notable, portion of non-family households in the community.

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:

• 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
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Income Level: The income level represents the income brackets ranging from Less than $10,000 to $200,000 or more in Starbuck, MN (As mentioned above).
• All Households: Count of households for the specified income level
• % All Households: Percentage of households at the specified income level relative to the total households in Starbuck, MN
• Family Households: Count of family households for the specified income level
• % Family Households: Percentage of family households at the specified income level relative to the total family households in Starbuck, MN
• Non-Family Households: Count of non-family households for the specified income level
• % Non-Family Households: Percentage of non-family households at the specified income level relative to the total non-family households in Starbuck, MN

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 median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in Starbuck. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2013 and 2023, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..

Key observations

• White: In Starbuck, the median household income for the households where the householder is White increased by $9,045(17.69%), between 2013 and 2023. The median household income, in 2023 inflation-adjusted dollars, was $51,118 in 2013 and $60,163 in 2023.
• Black or African American: Even though there is a population where the householder is Black or African American, there was no median household income reported by the U.S. Census Bureau for both 2013 and 2023.
• Refer to the research insights for more key observations on American Indian and Alaska Native, Asian, Native Hawaiian and Other Pacific Islander, Some other race and Two or more races (multiracial) households

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 of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Starbuck.
• 2010: 2010 median household income
• 2011: 2011 median household income
• 2012: 2012 median household income
• 2013: 2013 median household income
• 2014: 2014 median household income
• 2015: 2015 median household income
• 2016: 2016 median household income
• 2017: 2017 median household income
• 2018: 2018 median household income
• 2019: 2019 median household income
• 2020: 2020 median household income
• 2021: 2021 median household income
• 2022: 2022 median household income
• 2023: 2023 median household income
• Please note: All incomes have been adjusted for inflation and are presented in 2023-inflation-adjusted dollars.

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 race. You can refer the same here

About this dataset

Context

The dataset presents the median household income across different racial categories in Starbuck. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

Key observations

Based on our analysis of the distribution of Starbuck population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 93.15% of the total residents in Starbuck. Notably, the median household income for White households is $59,585. Interestingly, White is both the largest group and the one with the highest median household income, which stands at $59,585.

https://i.neilsberg.com/ch/starbuck-mn-median-household-income-by-race.jpeg" alt="Starbuck median household income diversity across racial categories">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Starbuck.
• Median household income: Median household income, adjusting for inflation, presented in 2022-inflation-adjusted dollars

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 race. You can refer the same here