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.

Consumer Spending in Brazil decreased to 225777.09 BRL Million in the first quarter of 2025 from 236836.06 BRL Million in the fourth quarter of 2024. This dataset provides - Brazil Consumer Spending - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Consumer Spending in Chile decreased to 32016.40 CLP Billion in the first quarter of 2025 from 34158.64 CLP Billion in the fourth quarter of 2024. This dataset provides - Chile Consumer Spending - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The per capita consumer spending on communication in the Netherlands was forecast to decrease between 2024 and 2029 by in total 8.9 U.S. dollars (-1.45 percent). This overall decrease does not happen continuously, notably not in 2026. According to this forecast, in 2029, the communication-related per capita spending will have decreased for the third consecutive year to 605.14 U.S. dollars. Consumer spending, in this case communication-related spending 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). The shown data adheres roughly to group 08, with the exception of information processing equipment (computers) which are here still aggregated into recreation. 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 communication in countries like Belgium and Luxembourg.

Russia consumer spending for 2023 was 1.007 trillion US dollars, a 8.51% decline from 2022.

<ul style='margin-top:20px;'>

<li>Russia consumer spending for 2022 was <strong>1.100 trillion US dollars</strong>, a <strong>19.51% increase</strong> from 2021.</li>
<li>Russia consumer spending for 2021 was <strong>920.72 billion US dollars</strong>, a <strong>19.75% increase</strong> from 2020.</li>
<li>Russia consumer spending for 2020 was <strong>768.87 billion US dollars</strong>, a <strong>11.99% decline</strong> from 2019.</li>
</ul>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.

Japan consumer spending for 2022 was 2.366 trillion US dollars, a 12.24% decline from 2021.

<ul style='margin-top:20px;'>

<li>Japan consumer spending for 2021 was <strong>2.695 trillion US dollars</strong>, a <strong>1.37% decline</strong> from 2020.</li>
<li>Japan consumer spending for 2020 was <strong>2.733 trillion US dollars</strong>, a <strong>2.13% decline</strong> from 2019.</li>
<li>Japan consumer spending for 2019 was <strong>2.792 trillion US dollars</strong>, a <strong>1.12% increase</strong> from 2018.</li>
</ul>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.

Consumer Spending in Luxembourg decreased to 5237.49 EUR Million in the first quarter of 2025 from 5262.05 EUR Million in the fourth quarter of 2024. This dataset provides - Luxembourg Consumer Spending - actual values, historical data, forecast, chart, statistics, economic calendar and news.

UAE consumer spending for 2020 was 140.39 billion US dollars, a 14.3% decline from 2019.

• UAE consumer spending for 2019 was 163.82 billion US dollars, a 1.3% increase from 2018.
• UAE consumer spending for 2018 was 161.72 billion US dollars, a 12.41% increase from 2017.
• UAE consumer spending for 2017 was 143.86 billion US dollars, a 11.32% increase from 2016.

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.

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.

Over the course of the next two weeks from mid-February 2021, consumers in the United States intended to increase their spending on groceries and food for home by nearly 20 percent and household supplies by roughly four percent. Shoppers stated that they expected to decrease their spending for most product categories. Spending on jewelry and accessories was expected to be reduced the most over the measured period.

How was shopping behavior influenced by the pandemic?

Over the many weeks and months since the coronavirus (COVID-19) pandemic began, consumers around the world and in the United States had exhibited changes in their shopping behavior. In early 2021, specifically, an estimated 85 percent of American shoppers reported that the crisis impacted their usual shopping habits. Some of the changes seen over the past year included reduced spending, an increased interest in online shopping, the use of home delivery options, as well as a decreased convenience store shopping frequency.

What industries were hit the hardest?

During the first months of the coronavirus pandemic, consumers had spent far less than usual on all kinds of items, including out-of-home entertainment, apparel, jewelry, and accessories. Between March and May 2020, related sectors, such as motor vehicles and parts dealers as well as clothing and accessory stores, had seen a heavy decline in sales in contrast to the previous year. By the end of 2020 and the first months of 2021, however, many of the industries had once again experienced positive sales growth numbers.

For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

Israel consumer spending for 2023 was 245.63 billion US dollars, a 4.92% decline from 2022.

<ul style='margin-top:20px;'>

<li>Israel consumer spending for 2022 was <strong>258.34 billion US dollars</strong>, a <strong>7.61% increase</strong> from 2021.</li>
<li>Israel consumer spending for 2021 was <strong>240.07 billion US dollars</strong>, a <strong>20.35% increase</strong> from 2020.</li>
<li>Israel consumer spending for 2020 was <strong>199.47 billion US dollars</strong>, a <strong>4.48% decline</strong> from 2019.</li>
</ul>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 Shares of gross domestic product: Personal consumption expenditures (DPCERE1Q156NBEA) from Q1 1947 to Q1 2025 about Shares of GDP, PCE, consumption expenditures, consumption, personal, GDP, and USA.

Senegal consumer spending for 2023 was 17.35 billion US dollars, a 4.58% decline from 2022.

• Senegal consumer spending for 2022 was 18.18 billion US dollars, a 0.79% decline from 2021.
• Senegal consumer spending for 2021 was 18.32 billion US dollars, a 8.68% increase from 2020.
• Senegal consumer spending for 2020 was 16.86 billion US dollars, a 5.48% increase from 2019.

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.

India Consumer Confidence Survey: RBI: Consumer Spending: Compared with Previous Year: Decrease data was reported at 3.500 % in Sep 2018. This records an increase from the previous number of 2.000 % for Jun 2018. India Consumer Confidence Survey: RBI: Consumer Spending: Compared with Previous Year: Decrease data is updated monthly, averaging 4.450 % from Dec 2010 (Median) to Sep 2018, with 36 observations. The data reached an all-time high of 19.400 % in Jun 2012 and a record low of 1.500 % in Nov 2017. India Consumer Confidence Survey: RBI: Consumer Spending: Compared with Previous Year: Decrease data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under India Premium Database’s Domestic Trade and Household Survey – Table IN.HA004: Consumer Confidence Survey: Reserve Bank of India: Consumer Spending.

Consumer Spending in Estonia increased to 3913.50 EUR Million in the fourth quarter of 2024 from 3682.80 EUR Million in the third quarter of 2024. This dataset provides - Estonia Consumer Spending - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Consumer Spending in Azerbaijan decreased to 18025.40 AZN Million in the fourth quarter of 2024 from 18832.60 AZN Million in the third quarter of 2024. This dataset provides the latest reported value for - Azerbaijan Consumer Spending - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Austria consumer spending for 2023 was 267.09 billion US dollars, a 10.76% increase from 2022.

• Austria consumer spending for 2022 was 241.15 billion US dollars, a 1.05% increase from 2021.
• Austria consumer spending for 2021 was 238.65 billion US dollars, a 10.21% increase from 2020.
• Austria consumer spending for 2020 was 216.54 billion US dollars, a 5.53% decline from 2019.

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.

Consumer Spending in Iran decreased to 10269403.90 IRR Billion in the fourth quarter of 2024 from 10275186.43 IRR Billion in the third quarter of 2024. This dataset provides - Iran Consumer Spending - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Consumer Spending in Hungary decreased to 8604106 HUF Million in the first quarter of 2025 from 9431120 HUF Million in the fourth quarter of 2024. This dataset provides - Hungary Consumer Spending - actual values, historical data, forecast, chart, statistics, economic calendar and news.

blockgroupspending Opportunity US Consumers express their behavior in a number of ways, but critically in their spending decisions. The US Bureau of Labor Statistics is charged with publishing spending activity and provides its Consumer Expenditure Survey (CEX) annually with US totals, with selected states (40) and cities (23). Limited to aggregates, the survey only needs 10s of thousands of observations in the original collection. While this is sufficient for macroeconomic use, the volume gives a weak basis for estimating lower levels of geography. In addition, the CEX includes demographic measurements that are similar, but not directly related, to Census variables. So, the CEX does not integtate well with the American Commuity Survey or other Census publications. This blockgroupspending publication by Open Environments attempts to address this problem by using the BLS' Public Microdata (PUMD) sample to allocate CEX spending categories across 220,000 US Census block group geographies. For each block group, the effort applies two models to estimate: total consumer spending (regression) distribution of spending across spending categories (penetration) including Food, Transportation, Housing and Health costs. Ultimately, these project spending on block groups that can be joined to US Census publications for additional demographics. Understanding the results requires awareness of the BLS' CEX data structures. This is available in the markdown file named oe_bls_cex_EDA.md The publication is made together with the source python code and notebooks used for repeatability. The materials are maintained under version control at https://github.com/OpenEnvironments/blockgroupspending. All feedback and development requests are welcome. Model details -- The CEX publication includes many files reflecting detailed 'diary' surveys capturing spend on thousands of items every two weeks family 'interviews' collecting household spending over the previous 3 months The models are trained upon the latter, 'FMLI' files. The regression model uses extreme gradient boosting, or XGBoost methods that apply many decision trees to iteratively correct prediction error. The subcategory models also use tree based methods, trained upon a the family interview details. The spending variables are named, following the BLS' CEX convention: |Variable|Definition|2023|pct| |---|---|---|---| |TOTEXP|Average annual expenditures|77280|| |FOOD|Food|9985|0.129| |ALCBEV|Alcoholic beverages|637|0.008| |HOUS|Housing|25436|0.329| |APPAR|Apparel and services|2041|0.026| |TRANS|Transportation|13174|0.17| |HEALTH|Healthcare|6159|0.08| |ENTERT|Entertainment|3635|0.047| |PERSCA|Personal care products and services|950|0.012| |READ|Reading|117|0.002| |EDUCA|Education|1656|0.021| |TOBACC|Tobacco products and smoking supplies|370|0.005| |MISC|Miscellaneous|1184|0.015| |CASHCO|Cash contributions|2378|0.031| |RETPEN|Personal insurance and pensions|9556|0.124| During the exploratory phase of this effort, ensemble modelling was evaluated finding that different groupings of income did not appreciably change model estimates while racial and ethnic categories did. As a result, the models are case for major races (White, African American, Asian, Other) and Hispanic. The ACS is collected by API at the block group level. Block group geographies are the lowest level of Census ACS detail and consolidate into Census tracts which in turn consolidate into counties. The FMLI responses are recorded in nominal dollars throughout the year, while total expenditure and ACS data represent year end states. As a result, the models' prediction for total expenditure is cast up using monthly inflation, weighted by monthly expenditure. Additional Caveats It is import to note, analytically, that the results are a stretch for credibility. CEX Consumer Units (people sharing financial decisions) are not exactly Census households (people in a housing unit) CEX demographics are not exactly Census demographics, with the CEX imputing incomes differenly than the Census medians. The CEX applies population weightings to the microdata while the Census primarily aggregates from respondents. The CEX observations are from 1 household (race is a 0/1 indicator) while Census demographics are many households (races are proportions) Models are trained upon repeated measures from a Consumer unit but not revised for ANOVA. Several of the CEX subcategories are very small, as spending has changed over the years. Reading, Alcohol and Tobacco use are still top level subcategories, for example as those have declined significantly since the CEX was first designed. So, this model is limited to the major subcategories of food, housing, transportation, health and retirement spending.* The model apply machine learning to large datasets so significance is not a consideration. However, in practice, those very small subcategories should be avoided. Difference in spending across racial categories also have different...