In 2023, the disposable income of a household led by a Millennial in the United States was ****** U.S. dollars per year. Households led by someone born in Generation X, however, had a disposable income of around ******* U.S. dollars in 2023.

That year, among millennials aged 26 to 31 years, *** percent had no own income, while * percent earned less than 500 euros.

Average household income, debt-to-income ratios, and area median income comparisons for Early Millennial home buyers.

Average household income, debt-to-income ratios, and area median income comparisons for Late Millennial home buyers.

According to a survey conducted by Statista Consumer Insights among Chinese Generation Z, most of the respondents had an annual disposable household income of over ****** yuan, with ** percent of respondents having at least ******* yuan per year at their disposal. In comparison, merely five percent of respondents said they had less than ****** yuan of annual household income.

The statistic illustrates the results of a survey about the annual income of millennials in Japan as of September 2017. In the period examined, the majority of millennials' households, about **** percent, had an annual income of up to ************ Japanese yen.

Income quintiles are assigned based on equivalized household disposable income, which takes into account differences in household size and composition using a method proposed by the Organization for Economic Co-operation and Development (OECD). The OECD-modified" equivalence scale assigns a value of 1 to the first adult Age groups refer to the age group of the major income earner. Housing tenure of household Refers to the main source of income for the household, either from wages and salaries, self-employment income, net property income, current transfers received related to pension benefits, or from other current transfers received from non-pension related sources (others). Distributions by generation are defined as follows and are based on the birth year of the major income earner : pre-1946 for those born before 1946, baby boom for those born between 1946 and 1964, generation X for those born between 1965 and 1980 and millennials for those born after 1980. Note that generation Z has been combined with the millennial generation as their sample size is relatively small.

Average household income, debt-to-income ratios, and area median income comparisons for Gen Z home buyers.

Income of individuals by age group, sex and income source, Canada, provinces and selected census metropolitan areas, annual.

According to a 2020 survey of millennials in India, ** percent of respondents with a monthly household income of more than ****** Indian rupees reported that they aspired to have children. In comparison, ** percent of millennials with monthly household incomes less than 10,000 Indian rupees were interested in having children. The survey showed that those with lower incomes were less willing to have children.

During a survey conducted from May to July 2021, ** percent of male millennial respondents from Ant Fortune platform in China stated that they expected the government pension to be their key income in retirement. The legal retirement age in China is currently ** for male, ** for female civil servants and ** for female workers.

In 2019, ** percent of high income millennials in the United States planned to retire between the ages of ** and **. Only ***** percent said that they never plan to retire.

Comprehensive YouTube channel statistics for Millennial Farmer, featuring 1,140,000 subscribers and 407,705,311 total views. This dataset includes detailed performance metrics such as subscriber growth, video views, engagement rates, and estimated revenue. The channel operates in the Education category and is based in US. Track 737 videos with daily and monthly performance data, including view counts, subscriber changes, and earnings estimates. Analyze growth trends, engagement patterns, and compare performance against similar channels in the same category.

Comprehensive YouTube channel statistics for Wall Street Millennial, featuring 350,000 subscribers and 82,265,111 total views. This dataset includes detailed performance metrics such as subscriber growth, video views, engagement rates, and estimated revenue. The channel operates in the Education category and is based in US. Track 880 videos with daily and monthly performance data, including view counts, subscriber changes, and earnings estimates. Analyze growth trends, engagement patterns, and compare performance against similar channels in the same category.

In 2019, ** percent of the Millennials in the United States were not saving for retirement. Approximately ** percent of the Americans aged between 23 and 37 years old were saving between one and ten percent of their monthly income.

Social Influence on Shopping

Social Survey Data from 300,000 Millennials and Gen Z Members

By Adam Halper [source]

About this dataset

This dataset offers a comprehensive look into the shopping habits of millennials and Gen Z members, including valuable insights about how their choices are influenced by social media. By exploring the responses given to survey questions related to this topic, we can gain an understanding of how these generations' interests, beliefs and desires shape their decisions when it comes to retail experiences. With 150 million survey responses from our 300,000+ millennial and Gen Z participants, we can uncover powerful insights that could help influencers, businesses and marketers more accurately target this demographic. Our data includes important information such as questions asked during the survey, segment types targeted by those questions and corresponding answers gathered with detailed counts/percentages - making this dataset incredibly useful for anyone wanting an in-depth understanding of what drives the purchasing behavior of today's youth

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How to use the dataset

The first step in using this dataset is to take a look at each column: Question, Segment Type, Segment Description, Answer, Count & Percentage. The Question column will provide background on what exactly each survey question was asking - allowing you to get an overall view of what kind of topics were being surveyed in relation to millennials' shopping habits & social media influence. You will then be able to follow up with analysis based on the respective Segment Types & Descriptions given (such as income levels), which leads us into analyzing answers from both Count & Percentage columns combined - providing absolute numbers vs relative ones for further analysis (such as percentages).

Afterwards you'll need an advanced data analysis program such as SPSS or R-Studio - depending on your technical ability - though all most basic spreadsheet programs should suffice, excluding Matlab supported ones due its excessive complexity for something simple like this.. After selecting your preferred program inputting our file with all 150 million survey responses may take some time based on your computers processing capabilities but once loaded you'll be ready for endless possibilities! Now it's time get running with pulling out key insights you require utilizing various different tools found within these platforms whether it be linear regression or guided ANOVA testing which ever technique fits best should help lead navigate through uncovering deeper meaning in your ultra specific question!

As a final precaution while diving through waters filled surprises also keep note any adjustments needed potentially due overfitting or multicollinearity otherwise could cause major issues skew end results unfit requiring start whole process anew! Good luck delving deep discovering millennial behavior related digital world!

Research Ideas

• Identifying which type of segment is most responsive to engaging shopping experiences, such as influencer marketing, social media discounts and campaigns, etc.
• Analyzing the answers given to survey questions in order to understand millennial and Gen Z's opinion about social influence on their shopping habits - what do they view positively or negatively?
• Using the survey responses to uncover any interesting trends or correlations between different segments - is there a particular demographic that values or uses certain types of social influence on their shopping habits more than others?

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) - You are free to: - Share - copy and redistribute the material in any medium or format for any purpose, even commercially. - Adapt - remix, transform, and build upon the material for any purpose, even commercially. - You must: - Give appropriate credit - Provide a link to the license, and indicate if changes were made. - ShareAlike - You must distribute your contributions under the same license as the original.

Columns

File: WhatsgoodlyData-6.csv | Column name | Description ...

Comprehensive YouTube channel statistics for The Millennial Gardener, featuring 984,000 subscribers and 108,417,458 total views. This dataset includes detailed performance metrics such as subscriber growth, video views, engagement rates, and estimated revenue. The channel operates in the Lifestyle category and is based in US. Track 978 videos with daily and monthly performance data, including view counts, subscriber changes, and earnings estimates. Analyze growth trends, engagement patterns, and compare performance against similar channels in the same category.

This statistic shows the share of so-called Millennials (the generation now aged 18 to 34 years) in the United States, Brazil, India, and China, who are actively saving money from their monthly income to meet their future financial goals as of 2014. The results were sorted by country and share of income saved. According to this statistic, about ** percent of Millennials in the United States were saving ** percent of their monthly income or less to meet their future financial goals.

The Millennial Trends Survey (MTS 2019) was administered online between March 4-27, 2019 in both English and French, by Sarah Wilkins-Laflamme at the University of Waterloo. The questionnaire contains a total of 69 questions on the respondent's sociodemographic characteristics, (non)religious and (non)spiritual affiliations, beliefs and practices, friendship networks as well as inclusivity attitudes. This survey was reviewed and received ethics clearance through the University of Waterloo's Research Ethics Committee.

A total of 2,514 respondents aged 18-35 completed the 15-minute web survey (1,508 from Canada and 1,006 from the U.S.). Respondents were recruited through "https://leger360.com" Target="_blank">Leger's panel of registered members to complete the survey hosted by "https://uwaterloo.ca/survey-research-centre/" Target="_blank">the University of Waterloo's Survey Research Centre. Potential respondents were sent an e-mail invitation to complete the web survey, and then received reminders up to two times, if necessary. Age, gender, regional and education level quotas were applied during the initial random selection of respondents, and later monitored as responses came in to adjust further recruitment efforts and completes. Post-stratification weights were then created and applied to the statistical analyses in order to achieve greater young adult population representativeness on the variables of country of birth, household income, and race/ethnicity. The final response rate for the MTS 2019 was 6.5 percent: lower than the 10-15 percent response rates common for online surveys, mainly because of the additional recruitment efforts to fill some of the harder to reach quotas (notably young adult males with no university education). Additional details can be found in the Millennial Trends Survey - Technical Report document (Technical Report is attached to the original survey below - after page 55).

Comprehensive YouTube channel statistics for Gen-Z Way, featuring 1,100,000 subscribers and 1,319,647,396 total views. This dataset includes detailed performance metrics such as subscriber growth, video views, engagement rates, and estimated revenue. The channel operates in the Lifestyle category. Track 969 videos with daily and monthly performance data, including view counts, subscriber changes, and earnings estimates. Analyze growth trends, engagement patterns, and compare performance against similar channels in the same category.