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The current value of the Debt Balance Credit Cards in United States is 1.129 Trillion USD. The Debt Balance Credit Cards in United States increased to 1.129 Trillion USD on 12/1/2023, after it was 1.079 Trillion USD on 9/1/2023. From 3/1/2003 to 3/1/2024, the average GDP in United States was 0.78 Trillion USD. The all-time high was reached on 12/1/2023 with 1.13 Trillion USD, while the lowest value was recorded on 3/1/2014 with 0.66 Trillion USD.
Debt Balance Credit Cards ·
3 years
5 years
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25 Years
Max
Credit Balance Credit Cards | |
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3/1/2003 | 0.69 Trillion USD |
6/1/2003 | 0.69 Trillion USD |
9/1/2003 | 0.69 Trillion USD |
12/1/2003 | 0.7 Trillion USD |
3/1/2004 | 0.7 Trillion USD |
6/1/2004 | 0.7 Trillion USD |
9/1/2004 | 0.71 Trillion USD |
12/1/2004 | 0.72 Trillion USD |
3/1/2005 | 0.71 Trillion USD |
6/1/2005 | 0.72 Trillion USD |
9/1/2005 | 0.73 Trillion USD |
12/1/2005 | 0.74 Trillion USD |
3/1/2006 | 0.72 Trillion USD |
6/1/2006 | 0.74 Trillion USD |
9/1/2006 | 0.75 Trillion USD |
12/1/2006 | 0.77 Trillion USD |
3/1/2007 | 0.76 Trillion USD |
6/1/2007 | 0.8 Trillion USD |
9/1/2007 | 0.82 Trillion USD |
12/1/2007 | 0.84 Trillion USD |
3/1/2008 | 0.84 Trillion USD |
6/1/2008 | 0.85 Trillion USD |
9/1/2008 | 0.86 Trillion USD |
12/1/2008 | 0.87 Trillion USD |
3/1/2009 | 0.84 Trillion USD |
6/1/2009 | 0.82 Trillion USD |
9/1/2009 | 0.81 Trillion USD |
12/1/2009 | 0.8 Trillion USD |
3/1/2010 | 0.76 Trillion USD |
6/1/2010 | 0.74 Trillion USD |
9/1/2010 | 0.73 Trillion USD |
12/1/2010 | 0.73 Trillion USD |
3/1/2011 | 0.7 Trillion USD |
6/1/2011 | 0.69 Trillion USD |
9/1/2011 | 0.69 Trillion USD |
12/1/2011 | 0.7 Trillion USD |
3/1/2012 | 0.68 Trillion USD |
6/1/2012 | 0.67 Trillion USD |
9/1/2012 | 0.67 Trillion USD |
12/1/2012 | 0.68 Trillion USD |
3/1/2013 | 0.66 Trillion USD |
6/1/2013 | 0.67 Trillion USD |
9/1/2013 | 0.67 Trillion USD |
12/1/2013 | 0.68 Trillion USD |
3/1/2014 | 0.66 Trillion USD |
6/1/2014 | 0.67 Trillion USD |
9/1/2014 | 0.68 Trillion USD |
12/1/2014 | 0.7 Trillion USD |
3/1/2015 | 0.68 Trillion USD |
6/1/2015 | 0.7 Trillion USD |
9/1/2015 | 0.71 Trillion USD |
12/1/2015 | 0.73 Trillion USD |
3/1/2016 | 0.71 Trillion USD |
6/1/2016 | 0.73 Trillion USD |
9/1/2016 | 0.75 Trillion USD |
12/1/2016 | 0.78 Trillion USD |
3/1/2017 | 0.76 Trillion USD |
6/1/2017 | 0.78 Trillion USD |
9/1/2017 | 0.81 Trillion USD |
12/1/2017 | 0.83 Trillion USD |
3/1/2018 | 0.82 Trillion USD |
6/1/2018 | 0.83 Trillion USD |
9/1/2018 | 0.84 Trillion USD |
12/1/2018 | 0.87 Trillion USD |
3/1/2019 | 0.85 Trillion USD |
6/1/2019 | 0.87 Trillion USD |
9/1/2019 | 0.88 Trillion USD |
12/1/2019 | 0.93 Trillion USD |
3/1/2020 | 0.89 Trillion USD |
6/1/2020 | 0.82 Trillion USD |
9/1/2020 | 0.81 Trillion USD |
12/1/2020 | 0.82 Trillion USD |
3/1/2021 | 0.77 Trillion USD |
6/1/2021 | 0.79 Trillion USD |
9/1/2021 | 0.8 Trillion USD |
12/1/2021 | 0.86 Trillion USD |
3/1/2022 | 0.84 Trillion USD |
6/1/2022 | 0.89 Trillion USD |
9/1/2022 | 0.93 Trillion USD |
12/1/2022 | 0.99 Trillion USD |
3/1/2023 | 0.99 Trillion USD |
6/1/2023 | 1.03 Trillion USD |
9/1/2023 | 1.08 Trillion USD |
12/1/2023 | 1.13 Trillion USD |
Debt Balance Credit Cards History
Date | Value |
---|---|
12/1/2023 | 1.129 Trillion USD |
9/1/2023 | 1.079 Trillion USD |
6/1/2023 | 1.031 Trillion USD |
3/1/2023 | 0.986 Trillion USD |
12/1/2022 | 0.986 Trillion USD |
9/1/2022 | 0.925 Trillion USD |
6/1/2022 | 0.887 Trillion USD |
3/1/2022 | 0.841 Trillion USD |
12/1/2021 | 0.856 Trillion USD |
9/1/2021 | 0.804 Trillion USD |
Similar Macro Indicators to Debt Balance Credit Cards
Name | Current | Previous | Frequency |
---|---|---|---|
🇺🇸 Auto Loan Debt Balance | 1.616 Trillion USD | 1.607 Trillion USD | Quarter |
🇺🇸 Bank loan interest rate | 8 % | 8.5 % | Monthly |
🇺🇸 Consumer Confidence | 68.2 points | 69.1 points | Monthly |
🇺🇸 Consumer Loans | 6.4 B USD | 6.27 B USD | Monthly |
🇺🇸 Consumer spending | 16.112 T USD | 15.967 T USD | Quarter |
🇺🇸 Credit card accounts | 596.58 M | 594.75 M | Quarter |
🇺🇸 Current Economic Conditions in Michigan | 65.9 points | 69.6 points | Monthly |
🇺🇸 Disposable Personal Income | 21.856 T USD | 21.798 T USD | Monthly |
🇺🇸 Gasoline Prices | 0.83 USD/Liter | 0.85 USD/Liter | Monthly |
🇺🇸 Household Debt to GDP | 72.9 % of GDP | 73.4 % of GDP | Quarter |
🇺🇸 Index of Economic Optimism | 44.2 points | 40.5 points | Monthly |
🇺🇸 Michigan Consumer Expectations | 69.6 points | 68.8 points | Monthly |
🇺🇸 Mortgage Debt | 12.52 Trillion USD | 12.44 Trillion USD | Quarter |
🇺🇸 Personal Expenses | 0.2 % | 0.1 % | Monthly |
🇺🇸 Personal Income | 0.3 % | 0.2 % | Monthly |
🇺🇸 Personal Savings | 3.6 % | 3.6 % | Monthly |
🇺🇸 Private Sector Credit | 12.485 T USD | 12.47 T USD | Monthly |
🇺🇸 Redbook Index | 5.8 % | 5.3 % | frequency_weekly |
🇺🇸 Retail Sales Excluding Autos | 0.4 % | 0.1 % | Monthly |
🇺🇸 Retail Sales Excluding Gas and Autos MoM | 0.7 % | 0.3 % | Monthly |
🇺🇸 Retail Sales MoM | 0.1 % | -0.2 % | Monthly |
🇺🇸 Retail Sales YoY | 1.7 % | 2.2 % | Monthly |
🇺🇸 Sales of retail stores | 2.332 B USD | 2.317 B USD | Monthly |
🇺🇸 Student Loan Debt Balance | 1.6 Trillion USD | 1.601 Trillion USD | Quarter |
🇺🇸 Total Debt Balance | 17.7 USD Trillion | 17.503 USD Trillion | Quarter |
🇺🇸 Used Car Prices MoM | -0.1 % | -0.5 % | Monthly |
🇺🇸 Used Car Prices YoY | -12.1 % | -14 % | Monthly |
The New York Fed has designed and established the Consumer Credit Panel, a dataset on household liabilities based on consumer credit data. The Consumer Credit Panel provides detailed quarterly data on a panel of US consumers from 1999 through the present. The unique sampling design offers a random, nationally representative 5% sample of US consumers, along with the members of their households who have a credit report.
Macro pages for other countries in America
- 🇦🇷Argentina
- 🇦🇼Aruba
- 🇧🇸Bahamas
- 🇧🇧Barbados
- 🇧🇿Belize
- 🇧🇲Bermuda
- 🇧🇴Bolivia
- 🇧🇷Brazil
- 🇨🇦Canada
- 🇰🇾Cayman Islands
- 🇨🇱Chile
- 🇨🇴Colombia
- 🇨🇷Costa Rica
- 🇨🇺Cuba
- 🇩🇴Dominican Republic
- 🇪🇨Ecuador
- 🇸🇻El Salvador
- 🇬🇹Guatemala
- 🇬🇾Guyana
- 🇭🇹Haiti
- 🇭🇳Honduras
- 🇯🇲Jamaica
- 🇲🇽Mexico
- 🇳🇮Nicaragua
- 🇵🇦Panama
- 🇵🇾Paraguay
- 🇵🇪Peru
- 🇵🇷Puerto Rico
- 🇸🇷Suriname
- 🇹🇹Trinidad and Tobago
- 🇺🇾Uruguay
- 🇻🇪Venezuela
- 🇦🇬Antigua and Barbuda
- 🇩🇲Dominica
- 🇬🇩Grenada
What is Debt Balance Credit Cards?
Debt balance credit cards are a dynamic component of macroeconomic analysis, playing a crucial role in understanding consumer behavior, financial stability, and economic growth. As a professional website dedicated to delivering comprehensive macroeconomic data, Eulerpool provides detailed insights into the debt balance of credit cards, illuminating their significance and implications across various economic dimensions. Debt balance on credit cards refers to the amount of money owed by consumers to credit card issuers. It is a pivotal indicator of consumer borrowing and spending habits, reflecting both the financial health of households and broader economic trends. The analysis of credit card debt balances offers a window into consumer confidence, economic cycles, and potential financial vulnerabilities, making it an essential item for macroeconomic scrutiny. At a fundamental level, the growth or contraction of credit card debt balances can signify changes in consumer confidence and spending behavior. When consumers feel optimistic about their financial futures, they are more likely to increase their borrowing and spending, resulting in higher debt balances. Conversely, during periods of economic uncertainty or recession, consumers may rein in spending and reduce their reliance on credit, leading to lower debt balances. Thus, tracking these balances provides valuable indicators of consumer sentiment and economic conditions. Furthermore, credit card debt balances have direct implications for financial stability. High levels of debt can strain household budgets, leading to increased default risks and potential spillover effects on the banking sector and financial markets. Elevated credit card debt levels can also impact monetary policy, as central banks may adjust interest rates to manage economic growth and inflation. Therefore, understanding the trends and drivers of credit card debt balances is critical for policymakers, financial institutions, and investors. In terms of economic growth, credit card debt balances play a dual role. On the one hand, they facilitate consumer spending, which is a major component of gross domestic product (GDP). Higher spending can stimulate production, employment, and income, thereby driving economic growth. On the other hand, excessive debt accumulation can lead to financial stress, reduced consumption, and ultimately lower economic growth. Striking the right balance is crucial; too much debt can be detrimental, while too little borrowing can result in subdued economic activity. Eulerpool's macroeconomic data repository provides in-depth analysis and visualization of credit card debt balances, allowing users to track historical trends, compare regional data, and correlate debt levels with other key economic indicators. Our platform enables a detailed examination of how credit card debt balances evolve over time and under different economic scenarios, providing a valuable resource for researchers, analysts, and decision-makers. The demographic breakdown of credit card debt balances is also crucial for nuanced macroeconomic analysis. Different age groups, income brackets, and geographic regions exhibit varying patterns of credit card usage and debt accumulation. Younger consumers, for instance, might have higher debt balances due to student loans and early career expenses, while older populations might carry less debt but face higher healthcare and retirement costs. Understanding these demographic distinctions helps in crafting targeted policy measures and financial products. Moreover, the interplay between credit card debt balances and other forms of debt, such as mortgages, auto loans, and student loans, can shed light on household debt portfolios and overall financial exposure. High levels of credit card debt might signal overleveraged households that are vulnerable to economic shocks, whereas balanced debt portfolios might indicate financial resilience. Eulerpool’s data analytics can help uncover these intricacies by providing comprehensive data on various debt categories and their interrelations. Credit card interest rates, fees, and terms are additional factors influencing debt balances. High-interest rates can lead to rapid debt accumulation, especially if consumers only make minimum payments. Conversely, low-interest promotions might encourage short-term borrowing but can lead to higher debt levels once promotional periods end. Understanding the credit card market's structure and regulatory environment is crucial for interpreting debt balance data accurately. Eulerpool offers insights into these aspects, facilitating a deeper understanding of the underlying factors driving credit card debt dynamics. In a globalized economy, the patterns of credit card debt balances are not confined to individual countries alone. Cross-border comparisons reveal how different economic systems, regulatory frameworks, and cultural attitudes towards debt influence credit card usage and debt accumulation. For instance, countries with stringent credit regulations and a cultural aversion to debt might exhibit lower credit card debt balances, while those with liberal credit policies and high consumerism might have higher levels. By offering data from multiple countries, Eulerpool provides a global perspective on credit card debt, enabling users to draw meaningful comparisons and identify international trends. Technological advancements and financial innovations also play a significant role in shaping credit card debt balances. The rise of fintech companies, digital wallets, and online lending platforms has transformed how consumers access credit and manage their finances. These innovations can lead to increased credit availability and usage, impacting debt balances. Tracking these changes and understanding their implications is vital for staying ahead in the rapidly evolving financial landscape. Eulerpool’s focus on integrating technology and macroeconomic data ensures that users have access to the latest trends and developments in the credit market. In conclusion, debt balance credit cards are a key macroeconomic variable with far-reaching implications for consumer behavior, financial stability, and economic growth. By providing detailed, accurate, and comprehensive data on credit card debt balances, Eulerpool empowers users to make informed decisions, conduct in-depth analysis, and develop effective strategies. Our platform’s commitment to excellence in data quality and accessibility ensures that researchers, analysts, policymakers, and financial professionals have the tools they need to navigate the complexities of credit card debt dynamics and their broader economic impacts.