Personal savings in the United States reached a value of 911 billion U.S. dollars in 2023, which is significantly higher than in 2022. Personal savings peaked in 2020 at nearly 2.7 trillion U.S. dollars. Those figures remained very high until 2021. The excess savings during the COVID-19 pandemic in the U.S. and other countries were the main reason for that increase, as the measures implemented to contain the spread of the virus had an impact on consumer spending.

Saving before and after the 2008 financial crisisDuring the periods of growth and certain economic stability in the pre-2008 crisis period, there were falling savings rates. People were confident the good times would stay and felt comfortable borrowing money. Credit was easily accessible and widely available, which encouraged people to spend money. However, in times of austerity, people generally tend to their private savings due to a higher economic uncertainty. That was also the case in the wake of the 2008 financial crisis. Savings and inflationThe economic climate of high inflation and rising Federal Reserve interest rates in the U.S. made it increasingly difficult to save money in 2022. Not only does inflation affect the ability of people to save, but reversely, consumer behavior also affects inflation. On the one hand, prices can increase when the production costs are higher. That can be the case, for example, when the price of West Texas Intermediate crude oil or other raw materials increases. On the other hand, when people have a lot of savings and the economy is strong, high levels of consumer demand can also increase the final price of products.

In 2023, personal savings amounted to 4.51 percent of the disposable income in the United States. The personal savings rate peaked in 2020, when U.S. households saved on average over 15 percent of their income. That year and in 2021, there were measures implemented to contain the spread of the COVID-19 virus which limited the ability of people to go out and spend their money, which resulted in people saving more than usual.

Savings during recessions During recessions, households often tend to increase their savings due to economic uncertainty and to compensate for any possible loss of income, which could occur, for example, in the case of falling into unemployment. For example, as seen in this statistic, the savings rate increased noticeably between 2007 and 2012, coinciding with a period of crisis. However, there are also factors that affect the amount of money that households can manage to set aside, such as inflation. Saving can be particularly difficult during periods when the inflation rate has been higher than the growth rates of wages.

Savings accounts The value of savings deposits and other checkable deposits in the U.S. amounted to roughly 11 trillion U.S. dollars in late 2023, even after a significant fall in the amount of money placed in those types of instruments. In other words, savings accounts are a type of financial asset that is very widely used among households to save money. Nevertheless, interest rates of savings’ accounts differ a lot from one financial institution to another. Some of the lesser-known online banks had the highest interest rates, while the major banks often offered lower interest rates.

Household Saving Rate in the United States increased to 4.60 percent in January from 3.50 percent in December of 2024. This dataset provides - United States Personal Savings Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

In December 2024, the personal saving rate in the United States amounted to 3.8 percent. That was slightly lower figure than a year earlier. The personal saving rate is calculated as the ratio of personal savings to disposable personal income. Within the topic of personal savings in the U.S., there are different goals and reasons for saving. What are personal savings? Saving refers to strategies of accumulating capital for future use by either not spending a part of one’s income or cutting down on certain costs. Saved money may be preserved as cash, put on a deposit account, or invested in various financial instruments. Investing usually incorporates some level of risk which means that part of the invested money can be gone. An example of a relatively safe investment would be saving bonds, such as the debt securities issued by the U.S. Department of the Treasury. Saving trends in the U.S. and abroad Looking at the personal saving rate in the United States throughout the past decades, it can be observed that savings had been decreasing until the mid-2000s, and they increased after the 2008 financial crisis. Still, the largest savings rates were reached in 2020 and 2021. The reason for that increase in the savings rate that year might be related to the measures to contain the COVID-19 pandemic. The value of personal savings in the United Kingdom has also followed a similar trend. Although events like the COVID-19 pandemic may have affect many countries in a similar way, the ability to save, as well as the average savings as a share of personal income across countries can vary significantly depending on multiple factors affecting each territory.

This dataset provides values for PERSONAL SAVINGS reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Graph and download economic data for Personal saving as a percentage of disposable personal income (A072RC1Q156SBEA) from Q1 1947 to Q4 2024 about disposable, savings, personal income, percent, personal, income, GDP, and USA.

In 2022, approximately 39 percent of children from eight to fourteen years old owned a savings account in the United States. One of the least popular financial instruments for children to own were cryptocurrencies and digital assets at around five percent. Meanwhile, 29 percent of children had piggy banks. When focusing on their parents, 401(k) plans were the most popular type of retirement savings accounts in the U.S.

Indonesia Households Sector: Total Account: Saving data was reported at 595.208 Unit mn in Jan 2025. This records an increase from the previous number of 593.947 Unit mn for Dec 2024. Indonesia Households Sector: Total Account: Saving data is updated monthly, averaging 299.000 Unit mn from Dec 2013 (Median) to Jan 2025, with 134 observations. The data reached an all-time high of 595.208 Unit mn in Jan 2025 and a record low of 145.000 Unit mn in May 2014. Indonesia Households Sector: Total Account: Saving data remains active status in CEIC and is reported by Bank Indonesia. The data is categorized under Indonesia Premium Database’s Monetary – Table ID.KAI023: Financial System Statistics: Household Support Sector.

Graph and download economic data for Personal Sector; Personal Saving Including Consumer Durables (FOF), Transactions (BOGZ1FA176007025Q) from Q4 1946 to Q4 2024 about savings, transactions, sector, durable goods, consumer, goods, and USA.

China Household Savings Deposits Rate: Time: 1 Year data was reported at 1.500 % pa in 26 Mar 2025. This stayed constant from the previous number of 1.500 % pa for 25 Mar 2025. China Household Savings Deposits Rate: Time: 1 Year data is updated daily, averaging 1.500 % pa from Sep 1988 (Median) to 26 Mar 2025, with 13356 observations. The data reached an all-time high of 2.500 % pa in 10 May 2015 and a record low of 1.500 % pa in 26 Mar 2025. China Household Savings Deposits Rate: Time: 1 Year data remains active status in CEIC and is reported by The People's Bank of China. The data is categorized under High Frequency Database’s Deposit Rates – Table CN.MB: Saving Deposit Rate.

SCE: Interest Rate Expectation: Probability of Higher Average Interest Rate on Savings Accounts 1 Year from Now data was reported at 25.357 % in Feb 2025. This records an increase from the previous number of 24.995 % for Jan 2025. SCE: Interest Rate Expectation: Probability of Higher Average Interest Rate on Savings Accounts 1 Year from Now data is updated monthly, averaging 29.855 % from Jun 2013 (Median) to Feb 2025, with 141 observations. The data reached an all-time high of 41.800 % in Mar 2017 and a record low of 24.225 % in Mar 2024. SCE: Interest Rate Expectation: Probability of Higher Average Interest Rate on Savings Accounts 1 Year from Now data remains active status in CEIC and is reported by Federal Reserve Bank of New York. The data is categorized under Global Database’s United States – Table US.H078: Survey of Consumer Expectations: Financial.

China Flow of Funds: Household: Source: Deposit: Saving data was reported at 0.000 RMB bn in 2011. This stayed constant from the previous number of 0.000 RMB bn for 2010. China Flow of Funds: Household: Source: Deposit: Saving data is updated yearly, averaging 0.000 RMB bn from Dec 1992 (Median) to 2011, with 20 observations. The data reached an all-time high of 0.000 RMB bn in 2011 and a record low of 0.000 RMB bn in 2011. China Flow of Funds: Household: Source: Deposit: Saving data remains active status in CEIC and is reported by The People's Bank of China. The data is categorized under China Premium Database’s National Accounts – Table CN.AD: Flow of Funds Accounts: Financial Transaction: Household.

Serbia Household Savings data was reported at 1,158,961.030 RSD mn in Jun 2018. This records an increase from the previous number of 1,153,155.950 RSD mn for May 2018. Serbia Household Savings data is updated monthly, averaging 578,577.000 RSD mn from Dec 1999 (Median) to Jun 2018, with 205 observations. The data reached an all-time high of 1,158,961.030 RSD mn in Jun 2018 and a record low of 1,033.000 RSD mn in Dec 1999. Serbia Household Savings data remains active status in CEIC and is reported by National Bank of Serbia. The data is categorized under Global Database’s Serbia – Table RS.KB001: Banks Deposits.

Graph and download economic data for Personal Saving Rate from Jan 1959 to Jan 2025 about savings, personal, rate, and USA.

In a dynamic economic landscape marked by surges in inflation and shifting interest rates, this project delves into consumer responses to these changes when it comes to selecting mortgage and savings account providers. Drawing inspiration from Lukas and Noth's influential 2019 study on interest rate effects in the mortgage market, this research replicates and expands upon their findings in the context of savings accounts. By broadening the focus to encompass the wider financial landscape, this project aims to shed light on how consumers make decisions amidst fluctuating interest rates and transaction costs. The project's relevance lies in understanding consumer behavior during times of economic uncertainty, such as the recent turbulence in interest rates and inflation. By building upon the groundwork laid by Lukas and Noth, our goal is to enrich existing literature and provide a comprehensive perspective on how consumers navigate financial choices in the face of changing interest rate conditions.

Quarterly current and capital accounts for the household sector, including property income, disposable income, net saving and net lending, Canada.

Graph and download economic data for Personal Sector; Difference Between FOF and NIPA Personal Saving Excluding Consumer Durables as a Percentage of Disposable Personal Income, Transactions (BOGZ1FU176007086A) from 1946 to 2024 about disposable, savings, transactions, sector, durable goods, personal income, percent, personal, goods, income, and USA.

This data collection is one in a series of financial surveys of consumers conducted annually since 1946. In a nationally representative sample, the head of each spending unit (usually the husband, the main earner, or the owner of the home) was interviewed. The basic unit of reference in the study was the spending unit, but some family data are also available. The questions in the 1948 survey covered the respondent's attitudes toward national economic conditions and price activity, as well as the respondent's own financial situation. Other questions examined the spending unit head's occupation, and the nature and amount of the spending unit's income, debts, liquid assets, changes in liquid assets, savings, and actual and expected purchases of cars and other major durables. In addition, questions were asked about housing and home ownership. The subject of emphasis in this survey was the respondent's means of saving, with questions on investment preference, amount of present holdings in postal savings, credit unions, and savings accounts, whether respondent had a regular plan for savings, and attitudes regarding saving versus spending or investing. The 1948 survey included a separate questionnaire for farmers that contained differing questions on sources of income. Personal data include number of people in the spending unit, age, sex, and education of the head, and the race and sex of the respondent.

Graph and download economic data for Households; Checkable Deposits and Currency; Asset, Level (BOGZ1FL193020005Q) from Q4 1987 to Q4 2024 about checkable, deposits, currency, assets, households, and USA.

Envestnet®| Yodlee®'s Consumer Purchase Data (Aggregate/Row) Panels consist of de-identified, near-real time (T+1) USA credit/debit/ACH transaction level data – offering a wide view of the consumer activity ecosystem. The underlying data is sourced from end users leveraging the aggregation portion of the Envestnet®| Yodlee®'s financial technology platform.

Envestnet | Yodlee Consumer Panels (Aggregate/Row) include data relating to millions of transactions, including ticket size and merchant location. The dataset includes de-identified credit/debit card and bank transactions (such as a payroll deposit, account transfer, or mortgage payment). Our coverage offers insights into areas such as consumer, TMT, energy, REITs, internet, utilities, ecommerce, MBS, CMBS, equities, credit, commodities, FX, and corporate activity. We apply rigorous data science practices to deliver key KPIs daily that are focused, relevant, and ready to put into production.

We offer free trials. Our team is available to provide support for loading, validation, sample scripts, or other services you may need to generate insights from our data.

Investors, corporate researchers, and corporates can use our data to answer some key business questions such as: - How much are consumers spending with specific merchants/brands and how is that changing over time? - Is the share of consumer spend at a specific merchant increasing or decreasing? - How are consumers reacting to new products or services launched by merchants? - For loyal customers, how is the share of spend changing over time? - What is the company’s market share in a region for similar customers? - Is the company’s loyal user base increasing or decreasing? - Is the lifetime customer value increasing or decreasing?

Additional Use Cases: - Use spending data to analyze sales/revenue broadly (sector-wide) or granular (company-specific). Historically, our tracked consumer spend has correlated above 85% with company-reported data from thousands of firms. Users can sort and filter by many metrics and KPIs, such as sales and transaction growth rates and online or offline transactions, as well as view customer behavior within a geographic market at a state or city level. - Reveal cohort consumer behavior to decipher long-term behavioral consumer spending shifts. Measure market share, wallet share, loyalty, consumer lifetime value, retention, demographics, and more.) - Study the effects of inflation rates via such metrics as increased total spend, ticket size, and number of transactions. - Seek out alpha-generating signals or manage your business strategically with essential, aggregated transaction and spending data analytics.

Use Cases Categories (Our data provides an innumerable amount of use cases, and we look forward to working with new ones): 1. Market Research: Company Analysis, Company Valuation, Competitive Intelligence, Competitor Analysis, Competitor Analytics, Competitor Insights, Customer Data Enrichment, Customer Data Insights, Customer Data Intelligence, Demand Forecasting, Ecommerce Intelligence, Employee Pay Strategy, Employment Analytics, Job Income Analysis, Job Market Pricing, Marketing, Marketing Data Enrichment, Marketing Intelligence, Marketing Strategy, Payment History Analytics, Price Analysis, Pricing Analytics, Retail, Retail Analytics, Retail Intelligence, Retail POS Data Analysis, and Salary Benchmarking

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