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The current value of the Bankruptcies in United States is 22,060 Companies. The Bankruptcies in United States increased to 22,060 Companies on 6/1/2024, after it was 20,316 Companies on 3/1/2024. From 12/1/1980 to 9/1/2024, the average GDP in United States was 40,913.4 Companies. The all-time high was reached on 12/1/1987 with 82,446 Companies, while the lowest value was recorded on 6/1/2022 with 12,748 Companies.
Bankruptcies ·
3 years
5 years
10 years
25 Years
Max
Bankruptcies | |
---|---|
12/1/1980 | 43,694 Companies |
12/1/1981 | 48,125 Companies |
12/1/1982 | 69,300 Companies |
12/1/1983 | 62,436 Companies |
12/1/1984 | 64,004 Companies |
12/1/1985 | 71,277 Companies |
12/1/1986 | 81,235 Companies |
12/1/1987 | 82,446 Companies |
12/1/1988 | 63,853 Companies |
12/1/1989 | 63,235 Companies |
3/1/1990 | 64,277 Companies |
6/1/1990 | 64,688 Companies |
9/1/1990 | 64,552 Companies |
12/1/1990 | 64,853 Companies |
3/1/1991 | 65,768 Companies |
6/1/1991 | 67,714 Companies |
9/1/1991 | 70,176 Companies |
12/1/1991 | 71,549 Companies |
3/1/1992 | 73,232 Companies |
6/1/1992 | 72,650 Companies |
9/1/1992 | 71,725 Companies |
12/1/1992 | 70,643 Companies |
3/1/1993 | 68,016 Companies |
6/1/1993 | 66,428 Companies |
9/1/1993 | 64,857 Companies |
12/1/1993 | 62,304 Companies |
3/1/1994 | 59,571 Companies |
6/1/1994 | 56,748 Companies |
9/1/1994 | 54,425 Companies |
12/1/1994 | 52,374 Companies |
3/1/1995 | 51,639 Companies |
6/1/1995 | 51,238 Companies |
9/1/1995 | 51,008 Companies |
12/1/1995 | 51,959 Companies |
3/1/1996 | 52,143 Companies |
6/1/1996 | 52,919 Companies |
9/1/1996 | 53,469 Companies |
12/1/1996 | 53,549 Companies |
3/1/1997 | 53,908 Companies |
6/1/1997 | 53,907 Companies |
9/1/1997 | 54,165 Companies |
12/1/1997 | 54,027 Companies |
3/1/1998 | 52,638 Companies |
6/1/1998 | 50,202 Companies |
9/1/1998 | 50,202 Companies |
12/1/1998 | 44,367 Companies |
3/1/1999 | 41,128 Companies |
6/1/1999 | 39,934 Companies |
9/1/1999 | 38,625 Companies |
12/1/1999 | 37,884 Companies |
3/1/2000 | 38,109 Companies |
6/1/2000 | 36,910 Companies |
9/1/2000 | 36,065 Companies |
12/1/2000 | 35,472 Companies |
3/1/2001 | 35,992 Companies |
6/1/2001 | 37,135 Companies |
9/1/2001 | 38,490 Companies |
12/1/2001 | 40,099 Companies |
3/1/2002 | 39,845 Companies |
6/1/2002 | 39,201 Companies |
9/1/2002 | 39,091 Companies |
12/1/2002 | 38,540 Companies |
3/1/2003 | 37,548 Companies |
6/1/2003 | 37,182 Companies |
9/1/2003 | 36,183 Companies |
12/1/2003 | 35,037 Companies |
3/1/2004 | 36,785 Companies |
6/1/2004 | 35,739 Companies |
9/1/2004 | 34,817 Companies |
12/1/2004 | 34,317 Companies |
3/1/2005 | 31,952 Companies |
6/1/2005 | 32,406 Companies |
9/1/2005 | 34,222 Companies |
12/1/2005 | 39,201 Companies |
3/1/2006 | 35,292 Companies |
6/1/2006 | 31,562 Companies |
9/1/2006 | 27,333 Companies |
12/1/2006 | 19,695 Companies |
3/1/2007 | 21,960 Companies |
6/1/2007 | 23,889 Companies |
9/1/2007 | 25,925 Companies |
12/1/2007 | 28,322 Companies |
3/1/2008 | 30,741 Companies |
6/1/2008 | 33,822 Companies |
9/1/2008 | 38,651 Companies |
12/1/2008 | 43,546 Companies |
3/1/2009 | 49,077 Companies |
6/1/2009 | 55,021 Companies |
9/1/2009 | 58,721 Companies |
12/1/2009 | 60,837 Companies |
3/1/2010 | 61,148 Companies |
6/1/2010 | 59,608 Companies |
9/1/2010 | 58,322 Companies |
12/1/2010 | 56,282 Companies |
3/1/2011 | 54,212 Companies |
6/1/2011 | 52,134 Companies |
9/1/2011 | 49,895 Companies |
12/1/2011 | 47,806 Companies |
3/1/2012 | 46,393 Companies |
6/1/2012 | 44,435 Companies |
9/1/2012 | 42,008 Companies |
12/1/2012 | 40,075 Companies |
3/1/2013 | 37,552 Companies |
6/1/2013 | 36,061 Companies |
9/1/2013 | 34,892 Companies |
12/1/2013 | 33,212 Companies |
3/1/2014 | 31,671 Companies |
6/1/2014 | 30,113 Companies |
9/1/2014 | 28,319 Companies |
12/1/2014 | 26,983 Companies |
3/1/2015 | 26,130 Companies |
6/1/2015 | 25,046 Companies |
9/1/2015 | 24,985 Companies |
12/1/2015 | 24,735 Companies |
3/1/2016 | 24,797 Companies |
6/1/2016 | 25,227 Companies |
9/1/2016 | 24,457 Companies |
12/1/2016 | 24,114 Companies |
3/1/2017 | 23,591 Companies |
6/1/2017 | 23,443 Companies |
9/1/2017 | 23,109 Companies |
12/1/2017 | 23,157 Companies |
3/1/2018 | 23,106 Companies |
6/1/2018 | 22,245 Companies |
9/1/2018 | 22,103 Companies |
12/1/2018 | 22,232 Companies |
3/1/2019 | 22,157 Companies |
6/1/2019 | 22,483 Companies |
9/1/2019 | 22,910 Companies |
12/1/2019 | 22,780 Companies |
3/1/2020 | 23,114 Companies |
6/1/2020 | 22,482 Companies |
9/1/2020 | 22,391 Companies |
12/1/2020 | 21,655 Companies |
3/1/2021 | 19,911 Companies |
6/1/2021 | 18,511 Companies |
9/1/2021 | 16,140 Companies |
12/1/2021 | 14,347 Companies |
3/1/2022 | 13,160 Companies |
6/1/2022 | 12,748 Companies |
9/1/2022 | 13,125 Companies |
12/1/2022 | 13,481 Companies |
3/1/2023 | 14,467 Companies |
6/1/2023 | 15,724 Companies |
9/1/2023 | 17,051 Companies |
12/1/2023 | 18,926 Companies |
3/1/2024 | 20,316 Companies |
6/1/2024 | 22,060 Companies |
Bankruptcies History
Date | Value |
---|---|
6/1/2024 | 22,060 Companies |
3/1/2024 | 20,316 Companies |
12/1/2023 | 18,926 Companies |
9/1/2023 | 17,051 Companies |
6/1/2023 | 15,724 Companies |
3/1/2023 | 14,467 Companies |
12/1/2022 | 13,481 Companies |
9/1/2022 | 13,125 Companies |
6/1/2022 | 12,748 Companies |
3/1/2022 | 13,160 Companies |
Similar Macro Indicators to Bankruptcies
In the United States, bankruptcy is a legal process designed to address the debt issues of individuals and businesses, involving cases filed under one of the chapters of Title 11 of the United States Code (the Bankruptcy Code).
Macro pages for other countries in America
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What is Bankruptcies?
Bankruptcies are a critical component of macroeconomic analysis, providing invaluable insights into the health and stability of economies around the world. Eulerpool, your trusted source for comprehensive macroeconomic data, is dedicated to offering a detailed and nuanced understanding of bankruptcies as a category within the broader economic landscape. Bankruptcy is a legal process that provides relief to individuals or corporations who are unable to repay their outstanding debts. This process serves as a vital safety mechanism within the financial system, both for debtors in distress and for creditors seeking to reclaim their assets. Bankruptcies can be driven by an array of factors, including but not limited to economic downturns, mismanagement, changing market conditions, and unforeseen crises such as pandemics or natural disasters. Each bankruptcy case provides unique data points that contribute to the global economic narrative, making this category an indispensable area of study for economists, policy makers, and financial analysts. At Eulerpool, we categorize and display bankruptcy data in a way that allows for deep macroeconomic analysis. By examining trends in bankruptcies, economists and analysts can infer a lot about the underlying economic conditions. For instance, a surge in corporate bankruptcies may indicate deteriorating business conditions, possibly triggered by a recession, while a decline in personal bankruptcies might suggest improving household financial health. Furthermore, regional and sectoral analysis of bankruptcy data may reveal stress points within specific parts of an economy, thus enabling targeted policy interventions. A crucial aspect of understanding bankruptcies from a macroeconomic perspective is the differentiation between various types of bankruptcies. In most jurisdictions, bankruptcy filings are categorized primarily as Chapter 7, Chapter 11, or Chapter 13 (or their equivalents outside the United States). Chapter 7 bankruptcy, often referred to as "liquidation bankruptcy," involves the sale of a debtor’s non-exempt assets to repay creditors. This type usually indicates severe financial distress as it often leads to a complete cessation of business operations. Chapter 11 bankruptcy, or "reorganization bankruptcy," allows a business to continue operating while restructuring its debts under court supervision. This type can provide a more optimistic outlook as it aims at enabling the debtor to eventually regain financial stability. Chapter 13 bankruptcy, known as "wage earner’s bankruptcy," enables individuals with regular income to create a plan to repay all or part of their debts within a three to five-year period. Comprehensively tracking these different types of bankruptcies provides a richer, more detailed picture of economic health. For example, in times of economic strain, an increase in Chapter 11 filings relative to Chapter 7 filings might indicate that businesses are still trying to survive and see potential for future recovery. Conversely, a sharp increase in Chapter 7 filings could signal that businesses see no viable path forward. Moreover, bankruptcy data is not only critical for understanding current economic conditions but also for forecasting future trends. Historical data on bankruptcies can be utilized to build predictive models, helping stakeholders anticipate potential economic slowdowns or recoveries. For instance, a rising trend in bankruptcies over a prolonged period may precede a broader economic downturn, offering an early warning signal for investors, businesses, and policymakers. Businesses, in particular, benefit immensely from understanding bankruptcy trends within their industries. By analyzing industry-specific bankruptcy rates, companies can gauge the competitive landscape and assess risks associated with market entry, expansion, or contraction. Moreover, during economic downturns, knowledge of bankruptcy trends can aid in crafting strategies to mitigate financial distress, such as diversifying product lines or seeking alternative financing options. From a policy perspective, monitoring bankruptcy data is essential for central banks, finance ministries, and regulatory bodies. Analyzing this data helps in formulating monetary and fiscal policies aimed at cushioning the economy during adverse periods. For example, a spike in bankruptcies might necessitate interventions such as lowering interest rates, providing stimulus packages, or implementing regulatory reforms to support struggling businesses and individuals. The implications of bankruptcy trends extend beyond pure economics into social realms as well. High rates of bankruptcies can lead to increased unemployment, reduced consumer confidence, and social instability. Therefore, macroeconomic analysis of bankruptcies also requires considering the broader socio-economic context. Policies aimed at reducing bankruptcy rates must address underlying issues such as income inequality, access to credit, and financial literacy. Furthermore, bankruptcy data is indispensable for investors. Institutional and individual investors alike scrutinize this data to make informed decisions about asset allocation and risk management. By understanding trends in bankruptcies, investors can identify sectors or regions that are more likely to face economic difficulties, allowing them to adjust their portfolios accordingly. In contrast, stable or declining bankruptcy rates might indicate robust economic conditions, presenting investment opportunities. In conclusion, the macroeconomic category of bankruptcies offers profound insights into the financial and economic health of nations, industries, and individuals. Eulerpool is committed to providing comprehensive, timely, and accurate bankruptcy data to facilitate informed decision-making for economists, businesses, policymakers, and investors. By understanding the multifaceted aspects of bankruptcies, stakeholders can better navigate the complexities of the economic environment, anticipate future trends, and implement strategies that promote stability and growth. Our platform aims to be the definitive resource for all your macroeconomic data needs, ensuring that you remain well-informed and equipped to address the challenges and opportunities within the global economy.