Consumer Spending in the United States increased to 16291.80 USD Billion in the first quarter of 2025 from 16273.20 USD Billion in the fourth quarter of 2024. 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.

According to a survey conducted in 2023, many college students surveyed said their biggest expense was food. Specifically, ********* of college students said they spend the most on food in a typical month.

Personal Spending in the United States decreased 0.10 percent in May 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.

This dataset provides detailed information on U.S. federal spending for the cost of zoonotic disease monitoring and surveillance programs. Data are gathered from the USAspending.gov database, an open data source that allows to track how federal money is allocated and spent across various countries. We retrieved information at country-level over the period 2008-2023 for more than 130 countries.

Our aim was to estimate the total yearly spending from US-based organisations on zoonotic disease surveillance worldwide. Hence, we focussed on programs related to zoonotic disease monitoring and surveillance funded by the following agencies: Centers for Disease Control and Prevention (CDC), U.S. Agency for International Development (USAID) and Bureau of Global Health, Security and Diplomacy.

The dataset consists on:

(i) country code;

(ii) country name;

(iii) fiscal year;

(iv) Recipient ($), which is the total amount of funds allocated to a given country in a specific year, referring to the legal business addresses of organizations that are awarded with federal contracts, grants or financial assistance;

(v) Performance ($), which is the total amount of funds associated with the country, specifying the local where most of the work takes place, e.g. for a manufacturing contract this indicates the main place where items are produced;

(vi) Spending ($), which is the sum of recipient and performance funds for a country for each available year.

This dataset can serve as a valuable resource not only for researchers, but also for decision-makers as it supports the analysis of federal spending patterns. Despite the data account for U.S. spending for (excluding extranational spending of other big investors, such as the European Union), they are produced based on a consistent approach providing comparable information among years and countries. The usefulness and applicability of this dataset is indeed manifold: it can be used for examining the trends in funding distribution and outcomes, assessing the effectiveness of spending policies, and analyzing the outcome of investment programs over time. Likewise, analysis of trends in spending can be crucial to improve public services, such as healthcare, by identifying gaps and weaknesses, which may lead to the identification of more targeted actions for reducing the risk of zoonotic disease. Moreover, these data can be exploited to forecast economic trends and identify areas which are underfunded and might require future investment.

Disposable Personal Income in the United States decreased to 22454.56 USD Billion in May from 22579.58 USD Billion in April of 2025. This dataset provides - United States Disposable Personal Income - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The housing affordability measure illustrates the relationship between income and housing costs. A household that spends 30% or more of its collective monthly income to cover housing costs is considered to be “housing cost-burden[ed].”[1] Those spending between 30% and 49.9% of their monthly income are categorized as “moderately housing cost-burden[ed],” while those spending more than 50% are categorized as “severely housing cost-burden[ed].”[2]

How much a household spends on housing costs affects the household’s overall financial situation. More money spent on housing leaves less in the household budget for other needs, such as food, clothing, transportation, and medical care, as well as for incidental purchases and saving for the future.

The estimated housing costs as a percentage of household income are categorized by tenure: all households, those that own their housing unit, and those that rent their housing unit.

Throughout the period of analysis, the percentage of housing cost-burdened renter households in Champaign County was higher than the percentage of housing cost-burdened homeowner households in Champaign County. All three categories saw year-to-year fluctuations between 2005 and 2023, and none of the three show a consistent trend. However, all three categories were estimated to have a lower percentage of housing cost-burdened households in 2023 than in 2005.

Data on estimated housing costs as a percentage of monthly income was sourced from the U.S. Census Bureau’s American Community Survey (ACS) 1-Year Estimates, which are released annually.

As with any datasets that are estimates rather than exact counts, it is important to take into account the margins of error (listed in the column beside each figure) when drawing conclusions from the data.

Due to the impact of the COVID-19 pandemic, instead of providing the standard 1-year data products, the Census Bureau released experimental estimates from the 1-year data in 2020. This includes a limited number of data tables for the nation, states, and the District of Columbia. The Census Bureau states that the 2020 ACS 1-year experimental tables use an experimental estimation methodology and should not be compared with other ACS data. For these reasons, and because data is not available for Champaign County, no data for 2020 is included in this Indicator.

For interested data users, the 2020 ACS 1-Year Experimental data release includes a dataset on Housing Tenure.

[1] Schwarz, M. and E. Watson. (2008). Who can afford to live in a home?: A look at data from the 2006 American Community Survey. U.S. Census Bureau.

[2] Ibid.

Sources: U.S. Census Bureau; American Community Survey, 2023 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using data.census.gov; (17 October 2024).; U.S. Census Bureau; American Community Survey, 2022 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using data.census.gov; (22 September 2023).; U.S. Census Bureau; American Community Survey, 2021 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using data.census.gov; (30 September 2022).; U.S. Census Bureau; American Community Survey, 2019 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using data.census.gov; (10 June 2021).; U.S. Census Bureau; American Community Survey, 2018 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using data.census.gov; (10 June 2021).;U.S. Census Bureau; American Community Survey, 2017 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using American FactFinder; (13 September 2018).; U.S. Census Bureau; American Community Survey, 2016 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using American FactFinder; (14 September 2017).; U.S. Census Bureau; American Community Survey, 2015 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using American FactFinder; (19 September 2016).; U.S. Census Bureau; American Community Survey, 2014 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2013 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2012 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2011 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2010 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2009 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2008 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using American FactFinder; 16 March 2016).; U.S. Census Bureau; American Community Survey, 2007 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2006 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2005 American Community Survey 1-Year Estimates, Table B25106; generated by CCRPC staff; using American FactFinder; (16 March 2016).

In 2024, consumers in the United States expected to spend over one thousand U.S. dollars on holiday gifts on average. This is the first time the projected spending estimate reached that one thousand-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 95 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 half 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.

Government Spending in the United States decreased to 3990.60 USD Billion in the first quarter of 2025 from 3996.30 USD Billion in the fourth quarter of 2024. This dataset provides the latest reported value for - United States Government Spending - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

View data of PCE, an index that measures monthly changes in the price of consumer goods and services as a means of analyzing inflation.

Indexes of real expenditure per capita in the United States relative to those in Canada for categories of gross domestic income (GDI), Canada=100, on an International Comparison Project Classification (ICP) basis.

This summary table shows the total amount of receipts and outlays and the amount of the budget surplus/deficit by month for the current and prior fiscal years. This table includes total and subtotal rows that should be excluded when aggregating data. Some rows represent elements of the dataset's hierarchy, but are not assigned values. The classification_id for each of these elements can be used as the parent_id for underlying data elements to calculate their implied values. Subtotal rows are available to access this same information.

This table shows the net transactions for the current month, and the current and prior fiscal year-to-date, as well as account balances for the beginning of the current fiscal year and current accounting month and the close of the current accounting month. This activity is related to the means used to finance the budget deficit or to dispose of a budget surplus. An asset account would represent an asset to the United States Government, for example United States Treasury Operating Cash. A liability account would represent a liability to the United States Government, for example Borrowing from the Public. This table includes total and subtotal rows that should be excluded when aggregating data. Some rows represent elements of the dataset's hierarchy, but are not assigned values. The classification_id for each of these elements can be used as the parent_id for underlying data elements to calculate their implied values. Subtotal rows are available to access this same information.

This table shows the gross outlays, applicable receipts and net outlays for the current month, current fiscal year-to-date and prior fiscal year-to-date by various agency programs accounted for in the budget of the federal government. This table includes total and subtotal rows that should be excluded when aggregating data. Some rows represent elements of the dataset's hierarchy, but are not assigned values. The classification_id for each of these elements can be used as the parent_id for underlying data elements to calculate their implied values. Subtotal rows are available to access this same information.

This summary table shows the on-budget and off-budget receipts and outlays, the on-budget and off-budget surplus/deficit, and the means of financing the budget surplus/deficit. The table also shows the budgeted amounts estimated in the President's Budget for the current fiscal year and next fiscal year for each item on the table. This table includes total and subtotal rows that should be excluded when aggregating data. Some rows represent elements of the dataset's hierarchy, but are not assigned values. The classification_id for each of these elements can be used as the parent_id for underlying data elements to calculate their implied values. Subtotal rows are available to access this same information.

This summary table shows, for Budget Receipts, the total amount of activity for the current month, the current fiscal year-to-date, the comparable prior period year-to-date and the budgeted amount estimated for the current fiscal year for various types of receipts (i.e. individual income tax, corporate income tax, etc.). The Budget Outlays section of the table shows the total amount of activity for the current month, the current fiscal year-to-date, the comparable prior period year-to-date and the budgeted amount estimated for the current fiscal year for functions of the federal government. The table also shows the amounts for the budget/surplus deficit categorized as listed above. This table includes total and subtotal rows that should be excluded when aggregating data. Some rows represent elements of the dataset's hierarchy, but are not assigned values. The classification_id for each of these elements can be used as the parent_id for underlying data elements to calculate their implied values. Subtotal rows are available to access this same information.

This table shows the receipts and outlays of the United States Government by month for the current fiscal year, up to and including the current accounting month. The table also shows the total receipts and outlays for the current fiscal year-to-date and the comparable prior fiscal year-to-date. This table includes total and subtotal rows that should be excluded when aggregating data. Some rows represent elements of the dataset's hierarchy, but are not assigned values. The classification_id for each of these elements can be used as the parent_id for underlying data elements to calculate their implied values. Subtotal rows are available to access this same information.

Government Debt in the United States decreased to 36211469 USD Million in June from 36215818 USD Million in May of 2025. This dataset provides - United States Government Debt- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Tourism Revenues in the United States increased to 21584 USD Million in April from 20071 USD Million in March of 2025. This dataset provides - United States Tourism Revenues- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Cristiano Ronaldo has one of the most popular Instagram accounts as of April 2024.

              The Portuguese footballer is the most-followed person on the photo sharing app platform with 628 million followers. Instagram's own account was ranked first with roughly 672 million followers.

              How popular is Instagram?

              Instagram is a photo-sharing social networking service that enables users to take pictures and edit them with filters. The platform allows users to post and share their images online and directly with their friends and followers on the social network. The cross-platform app reached one billion monthly active users in mid-2018. In 2020, there were over 114 million Instagram users in the United States and experts project this figure to surpass 127 million users in 2023.

              Who uses Instagram?

              Instagram audiences are predominantly young – recent data states that almost 60 percent of U.S. Instagram users are aged 34 years or younger. Fall 2020 data reveals that Instagram is also one of the most popular social media for teens and one of the social networks with the biggest reach among teens in the United States.

              Celebrity influencers on Instagram
              Many celebrities and athletes are brand spokespeople and generate additional income with social media advertising and sponsored content. Unsurprisingly, Ronaldo ranked first again, as the average media value of one of his Instagram posts was 985,441 U.S. dollars.

In 2024, enterprise spending on cloud infrastructure services amounted to *** billion U.S. dollars, a growth of ** billion U.S. dollars compared to the previous year. The growing market for cloud infrastructure services is driven by organizations' demand for modern networking, storage, and databases solutions. Increased spending on cloud services, mainly on platform as a service The platform as a service (PaaS) segment, which includes analytics, database, and internet of things (IoT) has the highest growth rate within the cloud infrastructure services market. The managed private cloud services share declined in comparison. Infrastructure as a service (IaaS) remained relatively steady, with companies like Amazon Web Services and Microsoft dominating the market. However, software as a service (SaaS) is not included, which itself continues to experience growth in end-user spending worldwide. Data center spending declined in 2020 Enterprise spending on data center hardware and software, on the other hand, began to slightly decline after several years of steady growth. Data center hardware and software encompasses spending on servers, networking, storage, and security software. Because data centers store proprietary or sensitive data, sites are secured by specific software. This includes splitting networks into security zones, for example. Other methods for ensuring security are using tools to scan applications and code before deployment to spot malware or vulnerabilities.