Snowflake reported revenue of nearly 2.8 billion U.S. dollars in the fiscal year ending January 31st, 2024. The firm's revenue has increased exponentially since 2019, having noticeably increased from the previous year of 2023; while its September 2020 IPO ranks among the highest valued unicorn exits worldwide. Snowflake's fiscal year ends January 31.

About this dataset

Context

The dataset presents the distribution of median household income among distinct age brackets of householders in Snowflake. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Snowflake. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

Key observations: Insights from 2023

In terms of income distribution across age cohorts, in Snowflake, the median household income stands at $96,200 for householders within the 25 to 44 years age group, followed by $63,869 for the 45 to 64 years age group. Notably, householders within the 65 years and over age group, had the lowest median household income at $47,750.

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.

Age groups classifications include:

• Under 25 years
• 25 to 44 years
• 45 to 64 years
• 65 years and over

Variables / Data Columns

• Age Of The Head Of Household: This column presents the age of the head of household
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific 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 Snowflake 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 Snowflake, AZ, 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 12,371, while the mean income for the highest quintile (20% of households with the highest income) is 170,974. This indicates that the top earners earn 14 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 239,555, which is 140.11% higher compared to the highest quintile, and 1936.42% 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 Snowflake 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 Snowflake: 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 66(3.78%) households where the householder is under 25 years old, 638(36.56%) households with a householder aged between 25 and 44 years, 569(32.61%) households with a householder aged between 45 and 64 years, and 472(27.05%) households where the householder is over 65 years old.
• In Snowflake, the age group of 25 to 44 years stands out with both the highest median income and the maximum share of households. This alignment suggests a financially stable demographic, indicating an established community with stable careers and higher incomes.

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

In the fiscal year 2023, Snow Peak's net sales amounted to roughly 25.73 billion Japanese yen. Snow Peak is a company based in Niigata Prefecture in Japan engaged in various segments of the outdoor business, including the operation of camping fields, and outdoor apparel retail.

About this dataset

Context

The dataset presents a breakdown of households across various income brackets in Snowflake, AZ, 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 Snowflake, AZ 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 Snowflake households based on income levels.

Key observations

• For Family Households: In Snowflake, the majority of family households, representing 18.9%, 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 0.89%, have incomes falling $15,000 to $19,999, representing a smaller but still significant segment of the community.
• For Non-Family Households: In Snowflake, the majority of non-family households, accounting for 26.67%, have income Less than $10,000, 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 $15,000 to $19,999, 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 Snowflake, AZ (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 Snowflake, AZ
• 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 Snowflake, AZ
• 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 Snowflake, AZ

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 Snowflake median household income. You can refer the same here

In the fiscal year 2023, Snow Peak's operating profit amounted to roughly 0.94 billion Japanese yen. Snow Peak is a company based in Niigata Prefecture in Japan engaged in various segments of the outdoor business, including the operation of camping fields, and outdoor apparel retail.

Market Overview:

The snow sports bindings market is projected to grow at a CAGR of 5.5% from 2022 to 2030. The strap-in type bindings segment is projected to dominate the market in terms of value and volume during the forecast period. This can be attributed to their high durability and easy installation.

Product Definition:

Snow sports bindings are a type of binding that attaches your boots to your skis or snowboard. Bindings help keep you attached to your skis or board, allowing you to control them more easily and make turns. Snow sports bindings come in a variety of types, including alpine, touring, and telemark bindings. They are an important part of any snow sports equipment set-up.

Strap-in Type:

Strap-in type binding is a new product category in the snow sports bindings market. Its primary function is to provide stability and safety during aerial acrobatic activities such as ski flying, wakeboarding, etc. The strap-in binding has been designed specifically for these extreme sports and can also be used for other non-skiing winter activities like snowboarding or ice skating.

Step-in Type:

Step-in type bindings are a type of ski binding that allows the skier to easily enter and exit the binding without having to remove their boots. This is helpful for those who have difficulty removing their boots, or for those who want to quickly change out of their boots after skiing. This type of binding is also popular among beginner skiers, as it makes learning to ski easier.

Application Insights:

The Racer was the most popular application segment in the snow sports bindings sales market and accounted for a revenue share of over 40.0% in 2019. The Racer is an advanced level binding that allows skiers to control their speed on both uphill and downhill slopes, which makes it ideal for racing or freeride skiing. These types of bindings are mainly preferred by experienced skiers as they offer better stability while skiing at high speeds on uneven terrain surfaces such as snow-covered hills or mountainsides. The Allrounder application segment is projected to witness significant growth over the forecast period owing to its wide scope of use across all skiing conditions including powder, moguls, hardpack & ice, fresh & frozen snow, and ski resorts with varying degrees of difficulty from beginner to expert levels respectively.

Regional Analysis:

Europe dominated the global snow sports bindings market in terms of revenue share in 2019. Europe is home to some of the most popular ski resorts across the globe, including Courchevel, Val d'Isere, and Verbier. These resorts are among those that attract skiers from across the world with their wide range of terrain options and excellent snow conditions throughout the year. The region also has a strong foothold in downhill skiing as well as cross-country skiing events that take place in different places including France, Italy, Norway Russia, etc., which further boosts product sales every year.

Growth Factors:

• The increasing popularity of snow sports.
• A growing number of winter resorts and ski areas.
• Rising income levels in developing countries.
• The proliferation of extreme sports and adventure tourism.
• Technological advancements in binding design and construction.

Report Scope

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 Snowflake. 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 Snowflake, the median income for all workers aged 15 years and older, regardless of work hours, was $42,019 for males and $19,844 for females.

These income figures highlight a substantial gender-based income gap in Snowflake. Women, regardless of work hours, earn 47 cents for each dollar earned by men. This significant gender pay gap, approximately 53%, underscores concerning gender-based income inequality in the town of Snowflake.

Surprisingly, the gender pay gap percentage was higher across all roles, including non-full-time employment, for women compared to men. This suggests that full-time employment offers a more equitable income scenario for women compared to other employment patterns in Snowflake.

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 Snowflake 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 Snowflake. 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 Snowflake population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 81.97% of the total residents in Snowflake. Notably, the median household income for White households is $78,452. Interestingly, White is both the largest group and the one with the highest median household income, which stands at $78,452.

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 Snowflake.
• Median household income: Median household income, adjusting for inflation, 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 Snowflake median household income by race. You can refer the same here

This dataset consists of S&P 500 (Standard and Poor's 500) index data including level, dividend, earnings and P/E (Price Earnings) ratio on a monthly basis since 1871. The S&P 500 (Standard and Poor's 500) is a free-float, capitalization-weighted index of the top 500 publicly listed stocks in the US (top 500 by market capitalization).

About this dataset

Context

The dataset presents the distribution of median household income among distinct age brackets of householders in Snow Hill. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Snow Hill. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

Key observations: Insights from 2023

In terms of income distribution across age cohorts, in Snow Hill, the median household income stands at $58,889 for householders within the 25 to 44 years age group, followed by $58,056 for the 45 to 64 years age group. Notably, householders within the 65 years and over age group, had the lowest median household income at $38,750.

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.

Age groups classifications include:

• Under 25 years
• 25 to 44 years
• 45 to 64 years
• 65 years and over

Variables / Data Columns

• Age Of The Head Of Household: This column presents the age of the head of household
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific 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 Snow Hill median household income by age. You can refer the same here

Snowplow manufacturers have faced considerable headwinds over the current period. The outbreak of COVID-19 hammered manufacturers as economic uncertainty disincentivized downstream consumers and businesses from making large purchases. Municipalities' budgets focusing on pandemic-related response programs also subdued growth in 2020. Imports only declined moderately as downstream markets looked to less expensive products. While manufacturers enjoyed a strong recovery in 2021, interest rate hikes in 2022 and 2023 have stifled spending on new snowplows. Industry-wide revenue has been falling at a CAGR of 1.5% to $1.1 billion through the end of 2024, including an expected jump of 1.7% in 2024 alone. Supply chain woes spurred by the outbreak of COVID-19 and Russia's invasion of Ukraine have greatly affected manufacturers' profit. Soaring steel prices have increased purchase costs, and climbing fuel prices have increased transportation costs, pushing down profit. Interest rate hikes have also subdued profit as downstream markets purchased less expensive replacement parts instead of new snowplows and related equipment as they typically finance new purchases through credit. Snowplow manufacturers will likely enjoy growth in the coming years. Climbing local and state government investment will allow manufacturers to grow as they upgrade their equipment. However, manufacturers will continue to face headwinds as interest rates remain high over the outlook period and disincentivize consumers and businesses from purchasing new snowplows and equipment. Favorable trade conditions over the outlook period will give manufacturers a much-needed boost. Industry revenue is forecast to expand at a CAGR of 1.4% through the end of 2029 to total $1.2 billion.

About this dataset

Context

The dataset presents the distribution of median household income among distinct age brackets of householders in Snow Lake Shores. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Snow Lake Shores. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

Key observations: Insights from 2023

In terms of income distribution across age cohorts, in Snow Lake Shores, where there exist only two delineated age groups, the median household income is $64,375 for householders within the 45 to 64 years age group, compared to $37,000 for the 65 years and over age group.

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.

Age groups classifications include:

• Under 25 years
• 25 to 44 years
• 45 to 64 years
• 65 years and over

Variables / Data Columns

• Age Of The Head Of Household: This column presents the age of the head of household
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific 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 Snow Lake Shores median household income by age. You can refer the same here

14.970 (Euros) in 2019.

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in Snow Shoe, PA, 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 21,954, while the mean income for the highest quintile (20% of households with the highest income) is 146,984. This indicates that the top earners earn 7 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 182,575, which is 124.21% higher compared to the highest quintile, and 831.63% 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 Snow Shoe median household income. You can refer the same here