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The current value of the Bankruptcies in Taiwan is 2,508 Companies. The Bankruptcies in Taiwan increased to 2,508 Companies on 7/1/2024, after it was 2,310 Companies on 6/1/2024. From 8/1/2000 to 8/1/2024, the average GDP in Taiwan was 2,702.87 Companies. The all-time high was reached on 12/1/2007 with 7,810 Companies, while the lowest value was recorded on 2/1/2018 with 1,144 Companies.
Bankruptcies ·
3 years
5 years
10 years
25 Years
Max
Bankruptcies | |
---|---|
8/1/2000 | 3,950 Companies |
9/1/2000 | 2,401 Companies |
10/1/2000 | 1,750 Companies |
11/1/2000 | 3,328 Companies |
12/1/2000 | 7,623 Companies |
1/1/2001 | 5,707 Companies |
2/1/2001 | 1,907 Companies |
3/1/2001 | 2,041 Companies |
4/1/2001 | 1,838 Companies |
5/1/2001 | 2,456 Companies |
6/1/2001 | 2,471 Companies |
7/1/2001 | 2,230 Companies |
8/1/2001 | 4,643 Companies |
9/1/2001 | 2,829 Companies |
10/1/2001 | 2,786 Companies |
11/1/2001 | 2,863 Companies |
12/1/2001 | 2,798 Companies |
1/1/2002 | 4,294 Companies |
2/1/2002 | 1,473 Companies |
3/1/2002 | 3,176 Companies |
4/1/2002 | 3,762 Companies |
5/1/2002 | 2,878 Companies |
6/1/2002 | 4,464 Companies |
7/1/2002 | 5,125 Companies |
8/1/2002 | 2,519 Companies |
9/1/2002 | 2,547 Companies |
10/1/2002 | 2,666 Companies |
11/1/2002 | 1,804 Companies |
12/1/2002 | 3,888 Companies |
1/1/2003 | 2,323 Companies |
2/1/2003 | 2,196 Companies |
3/1/2003 | 1,827 Companies |
4/1/2003 | 3,184 Companies |
5/1/2003 | 2,791 Companies |
6/1/2003 | 1,910 Companies |
7/1/2003 | 1,844 Companies |
8/1/2003 | 2,412 Companies |
9/1/2003 | 1,779 Companies |
10/1/2003 | 4,590 Companies |
11/1/2003 | 3,210 Companies |
12/1/2003 | 5,264 Companies |
1/1/2004 | 1,768 Companies |
2/1/2004 | 1,622 Companies |
3/1/2004 | 4,755 Companies |
4/1/2004 | 2,334 Companies |
5/1/2004 | 3,019 Companies |
6/1/2004 | 3,412 Companies |
7/1/2004 | 3,581 Companies |
8/1/2004 | 2,752 Companies |
9/1/2004 | 3,842 Companies |
10/1/2004 | 3,163 Companies |
11/1/2004 | 3,116 Companies |
12/1/2004 | 3,514 Companies |
1/1/2005 | 2,147 Companies |
2/1/2005 | 1,256 Companies |
3/1/2005 | 3,756 Companies |
4/1/2005 | 2,989 Companies |
5/1/2005 | 2,350 Companies |
6/1/2005 | 3,633 Companies |
7/1/2005 | 2,723 Companies |
8/1/2005 | 2,875 Companies |
9/1/2005 | 2,408 Companies |
10/1/2005 | 3,906 Companies |
11/1/2005 | 3,699 Companies |
12/1/2005 | 3,835 Companies |
1/1/2006 | 2,326 Companies |
2/1/2006 | 4,132 Companies |
3/1/2006 | 3,099 Companies |
4/1/2006 | 1,772 Companies |
5/1/2006 | 1,381 Companies |
6/1/2006 | 2,386 Companies |
7/1/2006 | 2,295 Companies |
8/1/2006 | 2,564 Companies |
9/1/2006 | 2,409 Companies |
10/1/2006 | 4,224 Companies |
11/1/2006 | 3,359 Companies |
12/1/2006 | 6,671 Companies |
1/1/2007 | 2,262 Companies |
2/1/2007 | 2,841 Companies |
3/1/2007 | 4,718 Companies |
4/1/2007 | 2,691 Companies |
5/1/2007 | 2,131 Companies |
6/1/2007 | 4,677 Companies |
7/1/2007 | 4,251 Companies |
8/1/2007 | 5,945 Companies |
9/1/2007 | 3,182 Companies |
10/1/2007 | 3,027 Companies |
11/1/2007 | 3,996 Companies |
12/1/2007 | 7,810 Companies |
1/1/2008 | 5,298 Companies |
2/1/2008 | 1,907 Companies |
3/1/2008 | 3,577 Companies |
4/1/2008 | 3,239 Companies |
5/1/2008 | 2,877 Companies |
6/1/2008 | 3,342 Companies |
7/1/2008 | 2,962 Companies |
8/1/2008 | 7,064 Companies |
9/1/2008 | 7,106 Companies |
10/1/2008 | 6,564 Companies |
11/1/2008 | 3,321 Companies |
12/1/2008 | 3,643 Companies |
1/1/2009 | 2,174 Companies |
2/1/2009 | 2,763 Companies |
3/1/2009 | 2,932 Companies |
4/1/2009 | 2,968 Companies |
5/1/2009 | 2,016 Companies |
6/1/2009 | 2,584 Companies |
7/1/2009 | 2,313 Companies |
8/1/2009 | 2,354 Companies |
9/1/2009 | 2,074 Companies |
10/1/2009 | 1,931 Companies |
11/1/2009 | 1,877 Companies |
12/1/2009 | 3,022 Companies |
1/1/2010 | 1,811 Companies |
2/1/2010 | 1,811 Companies |
3/1/2010 | 3,203 Companies |
4/1/2010 | 2,513 Companies |
5/1/2010 | 1,742 Companies |
6/1/2010 | 2,847 Companies |
7/1/2010 | 4,121 Companies |
8/1/2010 | 2,025 Companies |
9/1/2010 | 1,969 Companies |
10/1/2010 | 2,657 Companies |
11/1/2010 | 2,295 Companies |
12/1/2010 | 1,937 Companies |
1/1/2011 | 2,919 Companies |
2/1/2011 | 1,432 Companies |
3/1/2011 | 2,202 Companies |
4/1/2011 | 1,627 Companies |
5/1/2011 | 1,890 Companies |
6/1/2011 | 2,644 Companies |
7/1/2011 | 2,601 Companies |
8/1/2011 | 1,923 Companies |
9/1/2011 | 2,473 Companies |
10/1/2011 | 2,223 Companies |
11/1/2011 | 2,644 Companies |
12/1/2011 | 3,055 Companies |
1/1/2012 | 2,583 Companies |
2/1/2012 | 2,025 Companies |
3/1/2012 | 2,823 Companies |
4/1/2012 | 2,058 Companies |
5/1/2012 | 2,846 Companies |
6/1/2012 | 2,359 Companies |
7/1/2012 | 2,684 Companies |
8/1/2012 | 2,120 Companies |
9/1/2012 | 1,871 Companies |
10/1/2012 | 1,892 Companies |
11/1/2012 | 2,046 Companies |
12/1/2012 | 2,892 Companies |
1/1/2013 | 2,523 Companies |
2/1/2013 | 1,307 Companies |
3/1/2013 | 2,272 Companies |
4/1/2013 | 1,852 Companies |
5/1/2013 | 1,839 Companies |
6/1/2013 | 1,964 Companies |
7/1/2013 | 2,159 Companies |
8/1/2013 | 1,907 Companies |
9/1/2013 | 1,754 Companies |
10/1/2013 | 2,117 Companies |
11/1/2013 | 1,978 Companies |
12/1/2013 | 2,651 Companies |
1/1/2014 | 2,031 Companies |
2/1/2014 | 1,386 Companies |
3/1/2014 | 1,721 Companies |
4/1/2014 | 1,616 Companies |
5/1/2014 | 1,731 Companies |
6/1/2014 | 2,191 Companies |
7/1/2014 | 2,515 Companies |
8/1/2014 | 2,063 Companies |
9/1/2014 | 2,353 Companies |
10/1/2014 | 2,339 Companies |
11/1/2014 | 1,818 Companies |
12/1/2014 | 2,873 Companies |
1/1/2015 | 2,035 Companies |
2/1/2015 | 1,250 Companies |
3/1/2015 | 1,945 Companies |
4/1/2015 | 1,753 Companies |
5/1/2015 | 1,760 Companies |
6/1/2015 | 2,433 Companies |
7/1/2015 | 2,333 Companies |
8/1/2015 | 1,931 Companies |
9/1/2015 | 2,200 Companies |
10/1/2015 | 2,124 Companies |
11/1/2015 | 1,886 Companies |
12/1/2015 | 2,911 Companies |
1/1/2016 | 2,285 Companies |
2/1/2016 | 1,280 Companies |
3/1/2016 | 2,014 Companies |
4/1/2016 | 1,597 Companies |
5/1/2016 | 1,718 Companies |
6/1/2016 | 2,022 Companies |
7/1/2016 | 2,220 Companies |
8/1/2016 | 2,333 Companies |
9/1/2016 | 1,888 Companies |
10/1/2016 | 1,981 Companies |
11/1/2016 | 2,132 Companies |
12/1/2016 | 2,772 Companies |
1/1/2017 | 2,008 Companies |
2/1/2017 | 1,489 Companies |
3/1/2017 | 2,060 Companies |
4/1/2017 | 1,539 Companies |
5/1/2017 | 1,490 Companies |
6/1/2017 | 2,476 Companies |
7/1/2017 | 2,310 Companies |
8/1/2017 | 2,178 Companies |
9/1/2017 | 2,069 Companies |
10/1/2017 | 1,832 Companies |
11/1/2017 | 2,376 Companies |
12/1/2017 | 3,116 Companies |
1/1/2018 | 2,375 Companies |
2/1/2018 | 1,144 Companies |
3/1/2018 | 2,321 Companies |
4/1/2018 | 1,827 Companies |
5/1/2018 | 2,594 Companies |
6/1/2018 | 3,412 Companies |
7/1/2018 | 2,878 Companies |
8/1/2018 | 3,126 Companies |
9/1/2018 | 2,599 Companies |
10/1/2018 | 2,902 Companies |
11/1/2018 | 2,675 Companies |
12/1/2018 | 4,790 Companies |
1/1/2019 | 3,725 Companies |
2/1/2019 | 2,028 Companies |
3/1/2019 | 2,941 Companies |
4/1/2019 | 2,717 Companies |
5/1/2019 | 2,955 Companies |
6/1/2019 | 2,960 Companies |
7/1/2019 | 3,985 Companies |
8/1/2019 | 4,821 Companies |
9/1/2019 | 3,230 Companies |
10/1/2019 | 3,029 Companies |
11/1/2019 | 3,398 Companies |
12/1/2019 | 5,501 Companies |
1/1/2020 | 2,217 Companies |
2/1/2020 | 2,674 Companies |
3/1/2020 | 2,941 Companies |
4/1/2020 | 3,580 Companies |
5/1/2020 | 2,714 Companies |
6/1/2020 | 2,344 Companies |
7/1/2020 | 3,132 Companies |
8/1/2020 | 2,561 Companies |
9/1/2020 | 2,399 Companies |
10/1/2020 | 2,410 Companies |
11/1/2020 | 2,447 Companies |
12/1/2020 | 3,371 Companies |
1/1/2021 | 2,227 Companies |
2/1/2021 | 1,609 Companies |
3/1/2021 | 2,432 Companies |
4/1/2021 | 2,380 Companies |
5/1/2021 | 1,973 Companies |
6/1/2021 | 2,464 Companies |
7/1/2021 | 2,974 Companies |
8/1/2021 | 3,084 Companies |
9/1/2021 | 2,710 Companies |
10/1/2021 | 2,762 Companies |
11/1/2021 | 2,849 Companies |
12/1/2021 | 3,270 Companies |
1/1/2022 | 2,788 Companies |
2/1/2022 | 1,967 Companies |
3/1/2022 | 2,832 Companies |
4/1/2022 | 2,483 Companies |
5/1/2022 | 2,503 Companies |
6/1/2022 | 2,916 Companies |
7/1/2022 | 2,735 Companies |
8/1/2022 | 2,797 Companies |
9/1/2022 | 2,584 Companies |
10/1/2022 | 2,218 Companies |
11/1/2022 | 2,223 Companies |
12/1/2022 | 3,069 Companies |
1/1/2023 | 1,707 Companies |
2/1/2023 | 1,688 Companies |
3/1/2023 | 2,333 Companies |
4/1/2023 | 1,728 Companies |
5/1/2023 | 1,869 Companies |
6/1/2023 | 2,600 Companies |
7/1/2023 | 2,417 Companies |
8/1/2023 | 2,481 Companies |
9/1/2023 | 2,108 Companies |
10/1/2023 | 2,026 Companies |
11/1/2023 | 2,218 Companies |
12/1/2023 | 2,898 Companies |
1/1/2024 | 2,155 Companies |
2/1/2024 | 1,424 Companies |
3/1/2024 | 2,085 Companies |
4/1/2024 | 1,836 Companies |
5/1/2024 | 2,015 Companies |
6/1/2024 | 2,310 Companies |
7/1/2024 | 2,508 Companies |
Bankruptcies History
Date | Value |
---|---|
7/1/2024 | 2,508 Companies |
6/1/2024 | 2,310 Companies |
5/1/2024 | 2,015 Companies |
4/1/2024 | 1,836 Companies |
3/1/2024 | 2,085 Companies |
2/1/2024 | 1,424 Companies |
1/1/2024 | 2,155 Companies |
12/1/2023 | 2,898 Companies |
11/1/2023 | 2,218 Companies |
10/1/2023 | 2,026 Companies |
Similar Macro Indicators to Bankruptcies
Name | Current | Previous | Frequency |
---|---|---|---|
🇹🇼 Automobile production | 26,702 Units | 17,806 Units | Monthly |
🇹🇼 Cement production | 1.076 M Tonnes | 727,446 Tonnes | Monthly |
🇹🇼 Changes in Inventory Levels | 6.925 B TWD | -35.407 B TWD | Quarter |
🇹🇼 Consistency Index | 92.18 points | 91.58 points | Monthly |
🇹🇼 Industrial production | 11.22 % | 13.42 % | Monthly |
🇹🇼 Industrial Production MoM | 0.54 % | -0.67 % | Monthly |
🇹🇼 Leading Indicator | 91.5 points | 91.3 points | Monthly |
🇹🇼 Manufacturing PMI | 50.8 points | 51.5 points | Monthly |
🇹🇼 Manufacturing Production | 16.7 % | 14.79 % | Monthly |
🇹🇼 Mining Production | -1.52 % | -7.35 % | Monthly |
🇹🇼 New Orders | 48.891 B USD | 47.096 B USD | Monthly |
🇹🇼 Vehicle Registrations | 23.161 M | 23.151 M | Monthly |
In Taiwan, bankruptcies refer to corporations that are insolvent and unable to repay their debts to creditors or continue their operations.
Macro pages for other countries in Asia
- 🇨🇳China
- 🇮🇳India
- 🇮🇩Indonesia
- 🇯🇵Japan
- 🇸🇦Saudi Arabia
- 🇸🇬Singapore
- 🇰🇷South Korea
- 🇹🇷Turkey
- 🇦🇫Afghanistan
- 🇦🇲Armenia
- 🇦🇿Azerbaijan
- 🇧🇭Bahrain
- 🇧🇩Bangladesh
- 🇧🇹Bhutan
- 🇧🇳Brunei
- 🇰🇭Cambodia
- 🇹🇱East Timor
- 🇬🇪Georgia
- 🇭🇰Hong Kong
- 🇮🇷Iran
- 🇮🇶Iraq
- 🇮🇱Israel
- 🇯🇴Jordan
- 🇰🇿Kazakhstan
- 🇰🇼Kuwait
- 🇰🇬Kyrgyzstan
- 🇱🇦Laos
- 🇱🇧Lebanon
- 🇲🇴Macau
- 🇲🇾Malaysia
- 🇲🇻Maldives
- 🇲🇳Mongolia
- 🇲🇲Myanmar
- 🇳🇵Nepal
- 🇰🇵North Korea
- 🇴🇲Oman
- 🇵🇰Pakistan
- 🇵🇸Palestine
- 🇵🇭Philippines
- 🇶🇦Qatar
- 🇱🇰Sri Lanka
- 🇸🇾Syria
- 🇹🇯Tajikistan
- 🇹🇭Thailand
- 🇹🇲Turkmenistan
- 🇦🇪United Arab Emirates
- 🇺🇿Uzbekistan
- 🇻🇳Vietnam
- 🇾🇪Yemen
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.