The global total consumer spending in was forecast to continuously increase between 2024 and 2029 by in total 16.2 trillion U.S. dollars (+26.61 percent). After the ninth consecutive increasing year, the consumer spending is estimated to reach 77.1 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.

Household final consumption expenditure (formerly private consumption) is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwellings but includes imputed rent for owner-occupied dwellings. It also includes payments and fees to governments to obtain permits and licenses. Here, household consumption expenditure includes the expenditures of nonprofit institutions serving households, even when reported separately by the country. Data are in current U.S. dollars.

Graph and download economic data for Real Personal Consumption Expenditures (PCEC96) from Jan 2007 to Jan 2025 about headline figure, PCE, consumption expenditures, consumption, personal, real, and USA.

In November 2024, prices had increased by 2.7 percent compared to November 2023 according to the 12-month percentage change in the consumer price index — the monthly inflation rate for goods and services in the United States. The data represents U.S. city averages. In economics, the inflation rate is a measure of the change in price level over time. The rate of decrease in the purchasing power of money is approximately equal. A projection of the annual U.S. inflation rate can be accessed here and the actual annual inflation rate since 1990 can be accessed here. InflationOne of the most important economic indicators is the development of the Consumer Price Index in a country. The change in this price level of goods and services is defined as the rate of inflation. The inflationary situation in the United States had been relatively severe in 2022 due to global events relating to COVID-19, supply chain restrains, and the Russian invasion of Ukraine. More information on U.S. inflation may be found on our dedicated topic page. The annual inflation rate in the United States has increased from 3.2 percent in 2011 to 8.3 percent in 2022. This means that the purchasing power of the U.S. dollar has weakened in recent years. The purchasing power is the extent to which a person has available funds to make purchases. According to the data published by the International Monetary Fund, the U.S. Consumer Price Index (CPI) was about 258.84 in 2020 and is forecasted to grow up to 325.6 by 2027, compared to the base period from 1982 to 1984. The monthly percentage change in the Consumer Price Index (CPI) for urban consumers in the United States was 0.1 percent in March 2023 compared to the previous month. In 2022, countries all around the world are experienced high levels of inflation. Although Brazil already had an inflation rate of 8.3 percent in 2021, compared to the previous year, while the inflation rate in China stood at 0.85 percent.

Consumer Confidence in the United States decreased to 57.90 points in March from 64.70 points in February 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.

Abstract (en): The Consumer Expenditure Survey (CE) program provides a continuous and comprehensive flow of data on the buying habits of American consumers including data on their expenditures, income, and consumer unit (families and single consumers) characteristics. These data are used widely in economic research and analysis, and in support of revisions of the Consumer Price Index.The CE program is comprised of two separate components (each with its own questionnaire and independent sample), the quarterly Interview Survey and the Diary Survey (ICPSR 34442). This data collection contains the quarterly Interview Survey data, which was designed to collect data on major items of expense which respondents could be expected to recall for 3 months or longer. These included relatively large expenditures, such as those for property, automobiles, and major durable goods, and those that occurred on a regular basis, such as rent or utilities. The Interview Survey does not collect data on expenses for housekeeping supplies, personal care products, and nonprescription drugs, which contribute about 5 to 15 percent of total expenditures.The microdata in this collection are available as SAS, SPSS, and STATA datasets or ASCII comma-delimited files. The 2011 Interview Survey release contains seven groups of Interview data files (FMLY, MEMB, MTBI, ITBI, ITII, FPAR, and MCHI), 50 EXPN files, and processing files.The FMLY, MEMB, MTBI, ITBI, and ITII files are organized by the calendar quarter of the year in which the data were collected. There are five quarterly datasets for each of these files, running from the first quarter of 2011 through the first quarter of 2012. The FMLY file contains consumer unit (CU) characteristics, income, and summary level expenditures; the MEMB file contains member characteristics and income data; the MTBI file contains expenditures organized on a monthly basis at the Universal Classification Code (UCC) level; the ITBI file contains income data converted to a monthly time frame and assigned to UCCs; and the ITII file contains the five imputation variants of the income data converted to a monthly time frame and assigned to UCCs.The FPAR and MCHI datasets are grouped as 2-year datasets (2010 and 2011), plus the first quarter of the 2012 and contain paradata about the Interview survey. The FPAR file contains CU level data about the Interview survey, including timing and record use. The MCHI file contains data about each interview contact attempt, including reasons for refusal and times of contact. Both FPAR and MCHI files contain five quarters of data.The EXPN files contain expenditure data and ancillary descriptive information, often not available on the FMLY or MTBI files, in a format similar to the Interview questionnaire. In addition to the extra information available on the EXPN files, users can identify distinct spending categories easily and reduce processing time due to the organization of the files by type of expenditure. Each of the 50 EXPN files contains five quarters of data, directly derived from their respective questionnaire sections.The processing files enhance computer processing and tabulation of data, and provide descriptive information on item codes. The processing files are: (1) aggregation scheme files used in the published consumer expenditure survey interview tables and integrated tables (ISTUB and INTSTUB), (2) a UCC file that contains UCCs and their abbreviated titles, identifying the expenditure, income, or demographic item represented by each UCC, (3) a vehicle make file (CAPIVEHI), and (4) files containing sample programs. The processing files are further explained in the Interview User Guide, Section III.G.8. "PROCESSING FILES." There is also a second user guide, User's Guide to Income Imputation in the CE, which includes information on how to appropriately use the imputed income data. Demographic and family characteristics data include age, sex, race, marital status, and CU relationships for each CU member. Income information, such as wage, salary, unemployment compensation, child support, and alimony, as well as information on the employment of each CU member age 14 and over was also collected. The files include weights needed to calculate population estimates and variances. There are 45 weights associated with each consumer unit. Please refer to the User Guide documentation for a detailed explanation of the weight variables used. Eligible population includes all civilian non-i...

The ongoing Consumer Expenditure Survey (CES) provides a continuous flow of information on the buying habits of American consumers and also furnishes data to support periodic revisions of the Consumer Price Index. The survey consists of two separate components: (1) a quarterly Interview Survey in which each consumer unit (CU) in the sample is interviewed every three months over a 15-month period, and (2) a Diary Survey completed by the sample CUs for two consecutive one-week periods. The Interview Survey was designed to collect data on major items of expense, household characteristics, and income. The expenditures covered by the survey are those that respondents can recall fairly accurately for three months or longer. In general, these expenditures include relatively large purchases, such as those for property, automobiles, and major appliances, or expenditures that occur on a fairly regular basis, such as rent, utilities, or insurance premiums. Expenditures incurred while on trips are also covered by the survey. Excluded are nonprescription drugs, household supplies, and personal care items. Including global estimates on spending for food, it is estimated that about 90 to 95 percent of expenditures are covered in the Interview Survey. The Detailed Expenditure (MTAB) files that comprise this data collection were created from all the major expenditure sections of the Interview Survey questionnaires. These files contain more detailed expenditure records than those found in the Interview Survey data. In addition, the Detailed Expenditure files include Family Characteristics and Income (FMLY) files and Member Characteristics and Income (MEMB) files identical to those found in the Interview Survey.

The Consumer Expenditure Survey (CE) program provides a continuous and comprehensive flow of data on the buying habits of American consumers including data on their expenditures, income, and consumer unit (families and single consumers) characteristics. These data are used widely in economic research and analysis, and in support of revisions of the Consumer Price Index.The CE program is comprised of two separate components (each with its own questionnaire and independent sample), the quarterly Interview Survey and the Diary Survey (ICPSR 32482). This data collection contains the quarterly Interview Survey data, which was designed to collect data on major items of expense which respondents could be expected to recall for 3 months or longer. These included relatively large expenditures, such as those for property, automobiles, and major durable goods, and those that occurred on a regular basis, such as rent or utilities. The Interview Survey does not collect data on expenses for housekeeping supplies, personal care products, and nonprescription drugs, which contribute about 5 to 15 percent of total expenditures.The microdata in this collection are available as SAS, STATA, SPSS data sets or ASCII text and comma-delimited files. The 2010 Interview Survey release contains seven groups of Interview data files (FMLY, MEMB, MTAB, ITAB, ITAB_IMPUTE, FPAR, and MCHI), 50 EXPN files, and processing files.The FMLY, MEMB, MTAB, ITAB, and ITAB_IMPUTE files are organized by the calendar quarter of the year in which the data were collected. There are five quarterly data sets for each of these files, running from the first quarter of 2010 through the first quarter of 2011. The FMLY file contains consumer unit (CU) characteristics, income, and summary level expenditures; the MEMB file contains member characteristics and income data; the MTAB file contains expenditures organized on a monthly basis at the Universal Classification Code (UCC) level; the ITAB file contains income data converted to a monthly time frame and assigned to UCCs; and the ITAB_IMPUTE file contains the five imputation variants of the income data converted to a monthly time frame and assigned to UCCs.The FPAR and MCHI datasets are grouped as 2-year datasets (2009 and 2010), plus the first quarter of the 2011. The FPAR file contains CU level data about the Interview survey, including paradata collected about the interview within the interview collection instrument (CAPI). This data includes information on the amount of time required to collect each interview and interview section, as well as other interviewer entered information about the resulting survey. The MCHI file contains data about each interview contact attempt, including reasons for refusal and times of contact. Both FPAR and MCHI files contain five quarters of data.Each of the 50 EXPN files contains five quarters of data. The EXPN files contain data directly derived from their respective questionnaire sections.The processing files enhance computer processing and tabulation of data, and provide descriptive information on item codes. The processing files are: (1) aggregation scheme files used in the published consumer expenditure survey interview tables and integrated tables (ISTUB and INTSTUB), (2) a UCC file that contains UCCs and their abbreviated titles, identifying the expenditure, income, or demographic item represented by each UCC, (3) a vehicle make file (CAPIVEHI), and (4) files containing sample programs. The processing files are further explained in the Interview User Guide, Section III.F.6. PROCESSING FILES. There is also a second user guide, "User's Guide to Income Imputation in the CE", which includes information on how to appropriately use the imputed income data. Demographic and family characteristics data include age, sex, race, marital status, and CU relationships for each CU member. Income information, such as wage, salary, unemployment compensation, child support, and alimony, as well as information on the employment of each CU member age 14 and over was also collected.

In November 2024, gasoline prices were around 8.1 percent lower than in November 2023. The data represents city averages in the United States. The defined base period is: 1982-84=100. CPI is defined by the United States Bureau of Labor Statistics as "a measure of the average change over time in the prices paid by urban consumers for a market basket of consumer goods and services". It is based on prices of food, clothing, shelter, fuels, transportation fares, charges for doctors’ and dentists’ services, drugs, and other goods and services that people buy for day-to-day living. The annual inflation rate in the U.S. since 1990 can be accessed here.

Retail Sales in the United States increased 0.20 percent in February of 2025 over the previous month. This dataset provides - U.S. December Retail Sales Increased More Than Forecast - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Abstract (en): This data collection, which offers detailed information on the spending habits of American consumers, has two components: the Interview Survey and the Diary Survey. The Interview Survey portion tabulates data on a quarterly basis. For this survey consumer units (roughly equivalent to households) were interviewed in each of five consecutive quarters to obtain data on spending habits and patterns. The Detailed Interview files, Parts 9 and 10, contain data on characteristics of the consumer unit, including information on geography and location of residence, characteristics of the household, head, and spouse, housing characteristics, selected expenditure, income and personal tax summary values, and individual family member characteristics. Value data are also presented in these files and cover items such as current consumption expenditures, personal insurance and pensions, gifts and contributions, sources of income, personal taxes paid, other money receipts, net change in assets and market value of selected financial assets, net change in liabilities, and value of items received without direct expense. No quantity or price data are shown. Discrete expenditures are categorized with a high degree of detail in these files. Part 11 supplies summary information about characteristics of the consumer unit and also includes annual expenditures and other disbursements. Parts 12 and 13, which can be used with the detailed data, itemize purchases of durable consumer goods such as major and minor household equipment, selected house furnishings, motorized vehicles and selected trailers and boats. Details are supplied on how and when the items were acquired, cost or value of items, and model of item purchased. Parts 1 and 2 detail individual purchases of clothing and household textiles by each consumer unit. Information in these files specifies the family members for whom each clothing item was purchased, whether the purchase was a gift for someone outside the consumer unit, the quantity of each item purchased, the month and year of each purchase, and the total cost of each expenditure, including applicable sales tax. The Diary Survey contains data on all purchases and other expenses of members of the consumer unit during two consecutive one-week periods (excluding expenses made while away from home overnight on trips or vacations). Diaries, or daily expense records, were placed with consumer units in order to obtain data not collected by the Interview Survey on small, frequently purchased items which are normally difficult to recall over longer periods of time. These include purchases of food, alcoholic beverages, tobacco and smoking supplies, personal care products and services, non-prescription drugs and medical supplies, housekeeping supplies, gas, electricity and other fuel, gasoline, motor oil, coolants and similar products, and miscellaneous items. Diary Survey data in Parts 3 and 4 are organized by survey year and consumer unit and supply information on consumer unit characteristics, family member characteristics, and discrete expenditures. Parts 5 and 6 contain data on daily purchases of food for human consumption, alcoholic beverages, ice, and pet food. Information on quantity purchased, packaging, and amount paid is provided in these files. Parts 7 and 8 record characteristics of the consumer unit with data on items such as age, sex, race, marital status, relationships of each family member, work experience, earnings, family size, number of vehicles owned, and place of residence. Total civilian noninstitutionalized population of the United States. National probability sample. 2006-01-12 All files were removed from dataset 14 and flagged as study-level files, so that they will accompany all downloads.2006-01-12 All files were removed from dataset 14 and flagged as study-level files, so that they will accompany all downloads. Machine-readable codebooks are available for Parts 1, 2, 5, 6, 10, and 11. For Parts 1 and 2 there are at least 18 records of data for each consumer unit with 17 records of consumer unit and family member characteristics data and one or more records of purchase data. Data for the first survey year include 167,871 characteristics records and 527,575 purchase records. Data for the second survey year include 171,906 characteristics records and 534,115 purchase records. For Parts 3 and 4 there are 9 records of characteristics information and a variable number of expenditure records per consume...

Graph and download economic data for Personal Consumption Expenditures: Chain-type Price Index (PCEPI) from Jan 1959 to Jan 2025 about chained, headline figure, PCE, consumption expenditures, consumption, personal, inflation, price index, indexes, price, and USA.

Graph and download economic data for Consumer Price Index for All Urban Consumers: Purchasing Power of the Consumer Dollar in U.S. City Average (CUUR0000SA0R) from Jan 1913 to Feb 2025 about urban, consumer, CPI, inflation, price index, indexes, price, and USA.

United States US: GDP: PPP: Household Final Consumption Expenditure data was reported at 12,820,694.000 Intl $ mn in 2016. This records an increase from the previous number of 12,332,257.000 Intl $ mn for 2015. United States US: GDP: PPP: Household Final Consumption Expenditure data is updated yearly, averaging 7,765,529.000 Intl $ mn from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 12,820,694.000 Intl $ mn in 2016 and a record low of 3,825,630.000 Intl $ mn in 1990. United States US: GDP: PPP: Household Final Consumption Expenditure data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Gross Domestic Product: Purchasing Power Parity. Household final consumption expenditure (formerly private consumption) is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwellings but includes imputed rent for owner-occupied dwellings. It also includes payments and fees to governments to obtain permits and licenses. Here, household consumption expenditure includes the expenditures of nonprofit institutions serving households, even when reported separately by the country. Data are converted to current international dollars using purchasing power parity rates based on the 2011 ICP round.; ; World Bank, International Comparison Program database.; Gap-filled total;

Graph and download economic data for Personal Consumption Expenditures Excluding Food and Energy (Chain-Type Price Index) (PCEPILFE) from Jan 1959 to Jan 2025 about chained, core, energy, headline figure, PCE, consumption expenditures, consumption, personal, inflation, price index, indexes, price, and USA.

The per capita consumer spending on clothing and footwear ranking is led by Luxembourg with 2,079.65 U.S. dollars, while Norway is following with 1,622.91 U.S. dollars. In contrast, Burundi is at the bottom of the ranking with 6.81 U.S. dollars, showing a difference of 2,072.84 U.S. dollars to Luxembourg. 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 03. 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.

The total consumer spending on clothing and footwear in Southeast Asia was forecast to continuously increase between 2024 and 2029 by in total 15.6 billion U.S. dollars (+30.22 percent). After the ninth consecutive increasing year, the fashion-related spending is estimated to reach 67 billion U.S. dollars and therefore a new peak in 2029. Consumer spending, in this case footwear-related spending, 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 03. 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 on clothing and footwear in countries like Western Asia and Southern Asia.

The real total consumer spending on household upkeep in Peru was forecast to continuously increase between 2024 and 2029 by in total 2.2 billion U.S. dollars (+13.7 percent). After the ninth consecutive increasing year, the real spending on household upkeep is estimated to reach 18.6 billion U.S. dollars and therefore a new peak in 2029. Consumer spending, in this case concerning furnishings, 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 05. 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.Find more key insights for the real total consumer spending on household upkeep in countries like Ecuador and Bolivia.

This statistic shows a ranking of the estimated real total consumer spending on furnishings, household equipment and routine maintenance of the house in 2020 in Latin America and the Caribbean, differentiated by country. Consumer spending here refers to the domestic demand of private households and non-profit institutions serving households (NPISHs) in the selected region. Spending by corporations or the state is not included. 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 05. 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.The shown forecast is adjusted for the expected impact of the COVID-19 pandemic on the local economy. The impact has been estimated by considering both direct (e.g. because of restrictions on personal movement) and indirect (e.g. because of weakened purchasing power) effects. The impact assessment is subject to periodic review as more data becomes available.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in more than 150 countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).

The real total consumer spending on education in Egypt was forecast to continuously increase between 2024 and 2029 by in total 8.5 billion U.S. dollars (+68.06 percent). After the eighth consecutive increasing year, the real education-related spending is estimated to reach 21.1 billion U.S. dollars and therefore a new peak in 2029. Consumer spending, in this case eduction-related spending, 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 tenth 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.Find more key insights for the real total consumer spending on education in countries like Morocco and Sudan.