The global total consumer spending in was forecast to continuously increase between 2024 and 2029 by in total **** trillion U.S. dollars (+***** percent). After the ninth consecutive increasing year, the consumer spending is estimated to reach **** trillion U.S. dollars and therefore a new peak in 2029. Consumer spending here refers to the domestic demand of private households and non-profit institutions serving households (NPISHs). Spending by corporations and the state is not included. The forecast has been adjusted for the expected impact of COVID-19.Consumer spending is the biggest component of the gross domestic product as computed on an expenditure basis in the context of national accounts. The other components in this approach are consumption expenditure of the state, gross domestic investment as well as the net exports of goods and services. Consumer spending is broken down according to the United Nations' Classification of Individual Consumption By Purpose (COICOP). As not all countries and regions report data in a harmonized way, all data shown here has been processed by Statista to allow the greatest level of comparability possible. The underlying input data are usually household budget surveys conducted by government agencies that track spending of selected households over a given period.The data is shown in nominal terms which means that monetary data is valued at prices of the respective year and has not been adjusted for inflation. For future years the price level has been projected as well. The data has been converted from local currencies to US$ using the average exchange rate of the respective year. For forecast years, the exchange rate has been projected as well. The timelines therefore incorporate currency effects.Find more key insights for the total consumer spending in countries like North America and Europe.

Consumer Spending in the United States increased to 16350.20 USD Billion in the second quarter of 2025 from 16291.80 USD Billion in the first quarter of 2025. This dataset provides the latest reported value for - United States Consumer Spending - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

In case prices for goods and services go up significantly in 2023, over ** percent of consumers around the world said they would shop less in general and cut down on spending as a response. A fifth of survey respondents said they would look for and purchase cheaper and better value products. Less than **** percent of those surveyed worldwide believed inflation would be unlikely to impact their habits. What does inflation look like? The world entered a new inflation crisis in 2021, driven by a confluence of factors including the COVID-19 pandemic which restricted global supply chains, and the Russian-Ukraine war which exacerbated food and energy shortages. In 2022, global inflation hit **** percent, the highest annual increase in decades. The rate of inflation is estimated to remain high in the near future, at around *** percent in 2023 and *** percent in 2024. Inflation dominated the list of most important problems facing the world according to a survey conducted in October 2023 – leading ahead of poverty and social inequality, crime and violence, and unemployment. In a global consumer trends survey, the majority of respondents said that inflation impacted them completely or a lot – for instance, ***** in ** respondents in the United States admitted they had been seriously impacted. Inflation’s impact on the holidays The end-of-year holiday season is typically regarded as a period of increased retail spending, driven by a series of major shopping events such as Black Friday and Cyber Monday, as well as the public holidays Thanksgiving and Christmas. However, inflation has put a damper on the holiday cheer, with consumers expressing their intentions to cut back spending amid the cost-of-living crisis. In 2022, a significant share of consumers in Europe said they planned to cut at least some related expenses. In fact, ** percent of respondents in the United Kingdom planned to cut all expenses related to Black Friday and Christmas.

Personal Spending in the United States increased 0.30 percent in June of 2025 over the previous month. This dataset provides the latest reported value for - United States Personal Spending - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The global per capita consumer spending on clothing and footwear in was forecast to continuously increase between 2024 and 2029 by in total **** U.S. dollars (+**** percent). After the ninth consecutive increasing year, the fashion-related per capita spending is estimated to reach ****** U.S. dollars and therefore a new peak in 2029. Consumer spending, in this case per capita spending concerning clothing and footwear, refers to the domestic demand of private households and non-profit institutions serving households (NPISHs). Spending by corporations and the state is not included. The forecast has been adjusted for the expected impact of COVID-19.Consumer spending is the biggest component of the gross domestic product as computed on an expenditure basis in the context of national accounts. The other components in this approach are consumption expenditure of the state, gross domestic investment as well as the net exports of goods and services. Consumer spending is broken down according to the United Nations' Classification of Individual Consumption By Purpose (COICOP).The shown data adheres broadly to group **. As not all countries and regions report data in a harmonized way, all data shown here has been processed by Statista to allow the greatest level of comparability possible. The underlying input data are usually household budget surveys conducted by government agencies that track spending of selected households over a given period.The data is shown in nominal terms which means that monetary data is valued at prices of the respective year and has not been adjusted for inflation. For future years the price level has been projected as well. The data has been converted from local currencies to US$ using the average exchange rate of the respective year. For forecast years, the exchange rate has been projected as well. The timelines therefore incorporate currency effects.Find more key insights for the per capita consumer spending on clothing and footwear in countries like Asia and Africa.

Historical chart and dataset showing Nigeria consumer spending by year from N/A to N/A.

According to a 2023 survey, ** percent of U.S. consumers reduced their nonessential spending while grocery shopping. Older grocery shoppers seemed to report a higher share of cutting down on nonessential groceries compared to younger shoppers.

Consumer Spending in Taiwan decreased to 2819056 TWD Million in the first quarter of 2025 from 2885599 TWD Million in the fourth quarter of 2024. This dataset provides - Taiwan Consumer Spending - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Consumer Spending in Argentina increased to 564161 ARS Million in the first quarter of 2025 from 506043 ARS Million in the fourth quarter of 2024. This dataset provides - Argentina Consumer Spending - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Consumer Spending in Poland increased to 538662.30 PLN Million in the first quarter of 2025 from 485739.50 PLN Million in the fourth quarter of 2024. This dataset provides - Poland Consumer Spending - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Consumer Confidence in the United States increased to 61.70 points in July from 60.70 points in June of 2025. This dataset provides the latest reported value for - United States Consumer Sentiment - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Down Coat Market Outlook

The global down coat market size was valued at approximately USD 3.5 billion in 2023 and is projected to reach around USD 6.8 billion by 2032, growing at a CAGR of 7.5% during the forecast period. The market is driven by several growth factors including rising consumer awareness towards the benefits of down coats, increasing disposable income, and an expanding fashion industry.

One of the primary growth factors for the down coat market is the increasing consumer awareness about the superior insulation properties of down feathers. Down coats provide exceptional warmth and are lightweight compared to synthetic alternatives, making them ideal for cold weather conditions. This awareness is driving demand, especially in regions with severe winters. Moreover, the shift towards outdoor recreational activities such as hiking and skiing is also boosting the demand for durable and high-performance outerwear like down coats.

The rising disposable income across various regions of the world is another significant growth factor. As disposable income levels increase, consumers are more willing to invest in premium and high-quality products, including down coats. This trend is particularly noticeable in emerging markets within Asia Pacific and Latin America, where rapid economic development is leading to greater consumer spending power. Furthermore, the trend of urbanization is contributing to this growth, as city dwellers seek fashionable yet functional clothing for their daily commutes in colder climates.

The fashion industryÂ’s influence cannot be underestimated when it comes to the rising demand for down coats. Fashion trends have increasingly leaned towards functional yet stylish outerwear. High-profile fashion brands and designers are incorporating down coats into their winter collections, which has significantly impacted consumer preferences. Collaborations between outdoor gear brands and fashion houses have also led to innovative designs that appeal to a broader range of consumers.

In addition to down coats, the Trench Coat has emerged as a versatile and timeless piece in the outerwear market. Known for its classic design and adaptability, the trench coat is favored for its ability to provide a stylish layer in transitional weather. Its lightweight construction makes it a practical choice for both urban and rural settings, offering protection against wind and rain without the bulk of heavier coats. The trench coat's enduring appeal is further enhanced by its association with iconic fashion moments and its presence in the collections of high-profile designers. As consumers seek outerwear that combines functionality with fashion, the trench coat continues to be a staple in wardrobes worldwide.

Regionally, North America and Europe dominate the down coat market due to their colder climates and high consumer spending power. North America, with its well-established retail infrastructure, accounts for a significant share of the market. Europe follows closely, with countries like Germany, the UK, and France showing high demand. The Asia Pacific region is expected to witness the fastest growth rate due to increasing disposable income and growing awareness about down coats. Latin America and the Middle East & Africa are also emerging as potential markets, although they currently hold a smaller share.

Product Type Analysis

When analyzing the down coat market by product type, it is essential to classify the products into three main categories: lightweight down coats, midweight down coats, and heavyweight down coats. Lightweight down coats are highly popular due to their versatility and are often preferred for their ability to provide warmth without the bulk. These coats are particularly favored by urban dwellers and commuters who require functional yet stylish outerwear for daily use. Their compact nature also makes them ideal for travel, further driving their demand.

Midweight down coats strike a balance between warmth and mobility, making them suitable for a variety of outdoor activities. These coats are often favored by individuals who engage in outdoor sports such as hiking, camping, and skiing. The midweight category is essential for those who need reliable insulation without being weighed down. The market for midweight down coats is driven by the growing popularity of outdoor recreational activities, especially in regions with colder climates.

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...

The real per capita cosumer spending ranking is led by Iran with *********** U.S. dollars, while Vietnam is following with ************* U.S. dollars. In contrast, Zimbabwe is at the bottom of the ranking with **** U.S. dollars, showing a difference of ************** U.S. dollars to Iran. Consumer spending, here depicted per capita, refers to the domestic demand of private households and non-profit institutions serving households (NPISHs). Spending by corporations and the state is not included. The forecast has been adjusted for the expected impact of COVID-19.Consumer spending is the biggest component of the gross domestic product as computed on an expenditure basis in the context of national accounts. The other components in this approach are consumption expenditure of the state, gross domestic investment as well as the net exports of goods and services. Consumer spending is broken down according to the United Nations' Classification of Individual Consumption By Purpose (COICOP). As not all countries and regions report data in a harmonized way, all data shown here has been processed by Statista to allow the greatest level of comparability possible. The underlying input data are usually household budget surveys conducted by government agencies that track spending of selected households over a given period.The data has been converted from local currencies to US$ using the average constant exchange rate of the base year 2017. The timelines therefore do not incorporate currency effects. The data is shown in real terms which means that monetary data is valued at constant prices of a given base year (in this case: 2017). To attain constant prices the nominal forecast has been deflated with the projected consumer price index for the respective category.

Consumer Credit in the United States decreased to 5.10 USD Billion in May from 16.87 USD Billion in April of 2025. This dataset provides the latest reported value for - United States Consumer Credit Change - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Consumer Spending in India decreased to 27200.39 INR Billion in the first quarter of 2025 from 28433.68 INR Billion in the fourth quarter of 2024. This dataset provides - India Consumer Spending - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Consumer Spending in Philippines decreased to 4070114.90 PHP Million in the first quarter of 2025 from 4628997.50 PHP Million in the fourth quarter of 2024. This dataset provides - Philippines Consumer Spending - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Graph and download economic data for Expenditures: Entertainment: All Consumer Units (CXUENTRTAINLB0101M) from 1984 to 2023 about entertainment, consumer unit, expenditures, and USA.

Graph and download economic data for Expenditures: Total Average Annual Expenditures by Age: from Age 25 to 34 (CXUTOTALEXPLB0403M) from 1984 to 2023 about age, 25 years +, average, expenditures, and USA.