Media and entertainment spending patterns in the United States reveal intriguing age-related disparities. A late-2024 study found that Americans spent an average of ***** U.S. dollars annually on digital media and entertainment, a slight decrease from two years prior. Notably, consumers aged 35 to 54 outspent other age groups, allocating ***** U.S. dollars per year to digital media consumption. Generational differences in media spending The rise of digital platforms has transformed how different age groups consume media. While ** percent of the general population spent less than 1,000 U.S. dollars on media and entertainment annually, this figure rose to ** percent for those aged 55 and older. Interestingly, it is not the youngest age group that was ready to spend more on media subscriptions, services and products, but millennials - their annual expenses were more likely to reach up to ***** U.S. dollars. This disparity suggests that younger and older generations may be more frugal with their entertainment choices. Consumption follows similar age patterns The spending behavior is a direct result of how different generations consume media. Data on time spent with media types in the United States clearly suggest that millennials favor the more expensive ones - they devote more of their weekly hours to TV connected devices and video on a computer, as well as apps on tablets and internet on a computer. These media are the ones hosting the majority of subscription services - hence the increased spending outcomes. Younger and older generations in this case seem to spend more of their time with free entertainment sources.

analyze the consumer expenditure survey (ce) with r the consumer expenditure survey (ce) is the primo data source to understand how americans spend money. participating households keep a running diary about every little purchase over the year. those diaries are then summed up into precise expenditure categories. how else are you gonna know that the average american household spent $34 (±2) on bacon, $826 (±17) on cellular phones, and $13 (±2) on digital e-readers in 2011? an integral component of the market basket calculation in the consumer price index, this survey recently became available as public-use microdata and they're slowly releasing historical files back to 1996. hooray! for a t aste of what's possible with ce data, look at the quick tables listed on their main page - these tables contain approximately a bazillion different expenditure categories broken down by demographic groups. guess what? i just learned that americans living in households with $5,000 to $9,999 of annual income spent an average of $283 (±90) on pets, toys, hobbies, and playground equipment (pdf page 3). you can often get close to your statistic of interest from these web tables. but say you wanted to look at domestic pet expenditure among only households with children between 12 and 17 years old. another one of the thirteen web tables - the consumer unit composition table - shows a few different breakouts of households with kids, but none matching that exact population of interest. the bureau of labor statistics (bls) (the survey's designers) and the census bureau (the survey's administrators) have provided plenty of the major statistics and breakouts for you, but they're not psychic. if you want to comb through this data for specific expenditure categories broken out by a you-defined segment of the united states' population, then let a little r into your life. fun starts now. fair warning: only analyze t he consumer expenditure survey if you are nerd to the core. the microdata ship with two different survey types (interview and diary), each containing five or six quarterly table formats that need to be stacked, merged, and manipulated prior to a methodologically-correct analysis. the scripts in this repository contain examples to prepare 'em all, just be advised that magnificent data like this will never be no-assembly-required. the folks at bls have posted an excellent summary of what's av ailable - read it before anything else. after that, read the getting started guide. don't skim. a few of the descriptions below refer to sas programs provided by the bureau of labor statistics. you'll find these in the C:\My Directory\CES\2011\docs directory after you run the download program. this new github repository contains three scripts: 2010-2011 - download all microdata.R lo op through every year and download every file hosted on the bls's ce ftp site import each of the comma-separated value files into r with read.csv depending on user-settings, save each table as an r data file (.rda) or stat a-readable file (.dta) 2011 fmly intrvw - analysis examples.R load the r data files (.rda) necessary to create the 'fmly' table shown in the ce macros program documentation.doc file construct that 'fmly' table, using five quarters of interviews (q1 2011 thru q1 2012) initiate a replicate-weighted survey design object perform some lovely li'l analysis examples replicate the %mean_variance() macro found in "ce macros.sas" and provide some examples of calculating descriptive statistics using unimputed variables replicate the %compare_groups() macro found in "ce macros.sas" and provide some examples of performing t -tests using unimputed variables create an rsqlite database (to minimize ram usage) containing the five imputed variable files, after identifying which variables were imputed based on pdf page 3 of the user's guide to income imputation initiate a replicate-weighted, database-backed, multiply-imputed survey design object perform a few additional analyses that highlight the modified syntax required for multiply-imputed survey designs replicate the %mean_variance() macro found in "ce macros.sas" and provide some examples of calculating descriptive statistics using imputed variables repl icate the %compare_groups() macro found in "ce macros.sas" and provide some examples of performing t-tests using imputed variables replicate the %proc_reg() and %proc_logistic() macros found in "ce macros.sas" and provide some examples of regressions and logistic regressions using both unimputed and imputed variables replicate integrated mean and se.R match each step in the bls-provided sas program "integr ated mean and se.sas" but with r instead of sas create an rsqlite database when the expenditure table gets too large for older computers to handle in ram export a table "2011 integrated mean and se.csv" that exactly matches the contents of the sas-produced "2011 integrated mean and se.lst" text file click here to view these three scripts for...

In 2023, the average consumer unit in the United States spent about 9,985 U.S. dollars on food. Americans spent the most on housing, at 25,436 U.S. dollars, reflecting around one third of annual expenditure. The total average U.S. consumer spending amounted to 77,280 U.S. dollars.

Consumer expenditure on recreational books in the United States amounted to 30.98 billion U.S. dollars in 2024, up from just over 29 billion a year earlier. Americans tended to spend around 22 billion U.S. dollars on recreational books each year, but the years 2021 to 2024 saw the figure reach and then surpass levels last seen in the early 2000s.

Consumer spending, formally personal consumption expenditure, measures the total amount spent by Americans on services and new goods and net purchases of used goods, both domestically and abroad. The data for this report is sourced from the Bureau of Economic Analysis and presented in chained 2017 dollars.

Gallup tracks daily the average dollar amount Americans report spending or charging on a daily basis, not counting the purchase of a home, motor vehicle, or normal household bills. Respondents are asked to reflect on the day prior to being surveyed and results are presented here in both a 3-day and 14-day rolling average. Results are based on telephone interviews with approximately 1,500 national adults; Margin of error is ±3 percentage points.

The American Time Use Survey (ATUS) provides nationally representative estimates of how, where, and with whom Americans spend their time, and is the only federal survey providing data on the full range of nonmarket activities, from childcare to volunteering. For more information visit https://www.bls.gov/tus/

In 2021, adults in the U.S. spent an average of *** minutes (eight hours and five minutes) with digital media each day. This figure marked an increase of ** minutes compared to the previous year. Traditional vs. digital media usage amid COVID-19 The outbreak of the coronavirus pandemic boosted media consumption across the globe. It also rapidly accelerated the shift from traditional to digital media consumption that has been unfolding in the United States and other markets for the better part of a decade. In 2020, consumers in the U.S. spent less than *** minutes per day using analog media and entertainment formats such as television, radio, or print media. In contrast, they devoted an estimated *** minutes to digital media and entertainment channels. Even though some traditional formats saw a temporary uptick in demand in 2020, the latest forecasts distinctly show that the media usage gap will continue to widen. How do users spend their time online? There has been a great influx of digital media and entertainment formats in recent years. According to a survey carried out in the early days of the pandemic, online video streaming ranked among the most popular digital media activities in the United States. This finding still holds true in 2022, as platforms like Netflix, Prime Video, or Disney+ continue to add highly anticipated titles to their extensive content catalogs. Other popular digital media categories include online audio, social media, and gaming. Not only did online gaming traffic skyrocket in 2020, but young internet users in particular also spend more time watching gaming video content on services like Twitch nowadays.

Graph and download economic data for Expenditures: Total Average Annual Expenditures by Race: White, Asian, and All Other Races, Not Including Black or African American (CXUTOTALEXPLB0902M) from 1984 to 2023 about asian, average, white, expenditures, and USA.

This data collection contains a single concatenated file that merges common variables for respondents from two separate surveys, including 1,241 respondents from AMERICAN'S USE OF TIME, 1965-1966 (ICPSR 7254), and 812 respondents from TIME USE IN ECONOMIC AND SOCIAL ACCOUNTS, 1975-1976 (ICPSR 7580), for a total of 2,053 respondents. The sample was restricted to match the design of the earlier study, so the merged file includes data for individual Americans between 19 and 65 years of age living in cities with a population between 30,000 and 280,000, and in households that had at least one adult employed in a non-farming occupation. Two general types of information were gathered in both studies: sociodemographic background characteristics and time use data for a 24-hour period. The 1965-1966 time use data were obtained from a diary of activities kept by the respondent over a 24-hour period, and the 1975-1976 data were collected in face-to-face interviews. In both cases, the sociodemographic data also were gathered from personal interviews. The merged file contains sociodemographic background data that includes age, sex, race, relationship to head of household, occupation, marital status, number and age of children in household, homeowner/renter status, residence tenure, number of paid household help, number of books owned, church/religious preferences, highest level of education attained, whether raised on a farm, and income level. The time use data in the merged file chronicles activities such as work outside the home, household/domestic work, child care, obtaining goods and services, personal care needs, education and professional training, organization involvement, entertainment/social activities, sports/active leisure, and passive leisure.

Adults in the United States planned on spending an average of almost 92 U.S. dollars on Super Bowl Sunday in 2025, with food and beverage purchases being the most common among those planning on watching the game. NFL fans spend billions The fact that American football and the NFL (National Football League) are a big deal in the United States is not a surprising statement to anyone. To cement this fact, one needs only look at the annual sales generated by the Super Bowl. Total planned Super Bowl spending in the United States was estimated to be almost 19 billion U.S. dollars in 2025. Compared to just the year before, total spending was expected to increase by nearly one billion U.S. dollars. Gambling in the United States The Super Bowl also attracts interest from those wishing to make some money – sportsbooks in the state of Nevada took over 150 million U.S. dollars in Super Bowl wagers in 2025. Until recently, Nevada was the only state to permit a wide variety of legal sports betting, but the Supreme Court overturned a federal law in 2018, and sports betting is now legal in many states.

Government spending represents the total expenditures made by a country's public sector over a year. The metric 'Government Spending (% GDP)' indicates the annual percentage of GDP that each country (El Salvador, Guatemala, Honduras, and Nicaragua) spends, compared to the Central American average. Similarly, 'Government Spending per capita in dollars ($)' compares the expenditure per person in each of these countries against the Central American average. This data is assessed based on information obtained from Datosmacro.

For more information contact GIS4Tech: info@gis4tech.com. You can also visit the PREDISAN platform https://predisan.gis4tech.com/ca4 for detailed, accurate information.

How Much Sleep Do Americans Really Get?

The Consequences of Sleep Deprivation

By Makeover Monday [source]

About this dataset

Do you find yourself tossing and turning at night, struggling to fall asleep? You're not alone. A recent study found that the average American adult gets just under seven hours of sleep per night.

But how does this compare to other countries? And what factors contribute to our sleeplessness?

This dataset contains data on the average amount of time Americans spend sleeping, broken down by age group, sex, and activity. The data includes both weekdays and weekends, so you can see how our sleep habits change depending on the day of the week.

So take a look and see if you can find any patterns in the data. Why do you think some groups get more (or less) sleep than others? And what can we do to improve our sleep habits as a nation?

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How to use the dataset

This dataset includes data on the average number of hours per day Americans spend sleeping, broken down by age group, sex, and activity. This can be used to understand patterns in sleep habits among different groups of people, as well as how these patterns may change over time.

To use this dataset effectively, it is important to understand the different variables that are included. The 'Age Group' variable indicates the age group that the data applies to, while the 'Sex' variable indicates whether the data is for male or female respondents. The 'Activity' variable indicates what activity was being undertaken when the respondent was asked about their sleep habits (e.g. 'sleeping', 'working', 'watching TV', etc.), while the 'Type of Days' variable indicates whether the data was collected for weekdays, weekends, or holidays.

Finally, the 'Avg hrs per day sleeping' and 'Standard Error' variables give information on the average amount of time spent sleeping per day, along with a measure of how accurate this estimate is

Research Ideas

• To study the effect of sleep deprivation on health
• To understand the role of sleep in regulating mood and behavior
• To examine the relationship between sleep and cognitive function

Acknowledgements

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

Data Source

License

License: Dataset copyright by authors - 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. - Keep intact - all notices that refer to this license, including copyright notices.

Columns

File: Time Americans Spend Sleeping.csv | Column name | Description | |:-----------------------------|:---------------------------------------------------------------------------------------------| | Year | The year the data was collected. (Integer) | | Period | The period of the day the data was collected. (String) | | Avg hrs per day sleeping | The average number of hours per day Americans spend sleeping. (Float) | | Standard Error | The standard error for the average number of hours per day Americans spend sleeping. (Float) | | Type of Days | The type of day the data was collected. (String) | | Age Group | The age group of the Americans surveyed. (String) | | Activity | The activity the Americans surveyed were engaged in. (String) | | Sex | The sex of the Americans surveyed. (String) |

Acknowledgements

If you use this dataset in your research, please credit Makeover Monday [source]

The average for 2022 based on 17 countries was 1.16 percent. The highest value was in Colombia: 3.08 percent and the lowest value was in Haiti: 0.07 percent. The indicator is available from 1960 to 2022. Below is a chart for all countries where data are available.

The statistic shows the expenditure of affluent Americans on collectibles during the past 12 months in 2016. During that time, *** percent of affluent Americans spent ****** U.S. dollars or more on collectibles in 2016.

The American Time Use Survey (ATUS) measures the amount of time people spend doing various activities, such as paid work, childcare, volunteering, and socializing.

Macau Visitor Spending: Per Capita: America data was reported at 1,230.000 MOP in Sep 2018. This records an increase from the previous number of 1,168.000 MOP for Jun 2018. Macau Visitor Spending: Per Capita: America data is updated quarterly, averaging 1,141.000 MOP from Mar 1998 (Median) to Sep 2018, with 83 observations. The data reached an all-time high of 2,022.510 MOP in Jun 2001 and a record low of 735.000 MOP in Jun 2005. Macau Visitor Spending: Per Capita: America data remains active status in CEIC and is reported by Statistics and Census Service. The data is categorized under Global Database’s Macau SAR – Table MO.Q006: Visitor Per Capita Spending by Countries.

Graph and download economic data for Expenditures: Household Operations by Race: White and All Other Races, Not Including Black or African American (CXUHHOPERLB0903M) from 2003 to 2023 about operating, white, expenditures, households, and USA.

TikTok has 136 million monthly active users in the US alone.

In 2024, consumers in the United States expected to spend over 1,000 U.S. dollars on holiday gifts on average. This is the first time the projected spending estimate reached that 1,000-dollar-mark. Holiday shopping The Christmas, or holiday season, is the single most critical sales period of the year for many retailers: this period includes days, such as Black Friday and Cyber Monday, and an increasing amount of Americans also shop online during this busy time. An incredible shopping hubbub is produced during this period, with a staggering ** percent of U.S. consumers having said they intended to buy something during the Christmas season in 2024. Gift cards and vouchers Christmas is a public holiday in the United States and is celebrated on December 25th each year. It is known as a big economic stimulus for many people to purchase Christmas gifts for their beloved family and friends. After Christmas and New Year’s Eve, retail sales often peak again in January as many people redeem their received Christmas gift cards and vouchers. In fact, over **** of U.S. consumers planned to buy gift cards or gift certificates for others. It is a popular gifting option, with many Americans indicating that it can be very convenient.