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

In 2024, France is expected to record the highest number of business insolvencies of any country included, with over ****** businesses becoming insolvent during the year. The United Kingdom, the country predicted to have the second highest number of insolvencies in 2024, is estimated to have around ****** insolvencies. The United States followed in third with ******. On the other hand, Greece is expected to have only ** insolvencies in 2024.

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

The recent world financial crisis has increased the number of bankruptcies in numerous countries and has resulted in a new area of research which responds to the need to predict this phenomenon, not only at the level of individual countries, but also at a global level, offering explanations of the common characteristics shared by the affected companies. Nevertheless, few studies focus on the prediction of bankruptcies globally. In order to compensate for this lack of empirical literature, this study has used a methodological framework of logistic regression to construct predictive bankruptcy models for Asia, Europe and America, and other global models for the whole world. The objective is to construct a global model with a high capacity for predicting bankruptcy in any region of the world. The results obtained have allowed us to confirm the superiority of the global model in comparison to regional models over periods of up to three years prior to bankruptcy.

As of May 31, 2024, the number of bankruptcies in Japan directly related to the impact of the coronavirus disease (COVID-19) amounted to ***** cases in Tokyo Prefecture. In total, around *** thousand business enterprises in the country went bankrupt due to COVID-19.

The statistic shows the countries with the highest number of national bankruptcies worldwide since 1990 as of 2011. The South American countries Brazil and Chile lead the ranking with ***** national bankruptcies. Brazil and Chile announced their final national bankruptcies in 1983.

Short-term business statistics (STS) give information on a wide range of economic activities. All STS data are index data. Additionally, annual absolute values are released for building permits indicators. Percentage changes are also available for each indicator: Infra-annual percentage changes - changes between two consecutive months or quarters - are calculated on the basis of non-adjusted data (prices) or calendar and seasonally adjusted data (volume and value indicators) and year-on-year changes - comparing a period to the same period one year ago - are calculated on the basis of non-adjusted data (prices and employment) or calendar adjusted data (volume and value indicators).

The index data are generally presented in the following forms:

• unadjusted
• calendar adjusted
• calendar and seasonally adjusted.

Depending on the EBS Regulation data are accessible as monthly, quarterly and annual data.

The STS indicators are listed below in five different sectors, reflecting the dissemination of these data in Eurostat’s online database “Eurobase”.

Based on the national data, Eurostat compiles short-term indicators for the EU and euro area. Among these, a list of indicators, called Principal European Economic Indicators (PEEIs) has been identified by key users as being of primary importance for the conduct of monetary and economic policy of the euro area. The PEEIs contributed by STS are marked with * in the text below.

The euro indicators are released through Eurostat's website.

INDUSTRY

• production (volume)*
• turnover: Total, Domestic market and Non-domestic market. A further breakdown of the non-domestic turnover into euro area and non-euro area is available for the euro area countries.
• producer prices (output prices)*: Total, Domestic market and Non-domestic market. A further breakdown of the non-domestic producer prices into euro area and non-euro area is available for the euro area countries.
• import prices*: Total, euro area market, Non euro area market (euro area countries only)
• labour input indicators: Number of employees and self-employed persons, Hours worked by employees, Gross wages and salaries

CONSTRUCTION

• production (volume)*
• building permits indicators*: number of dwellings, square meters of useful floor
• producer (output) prices in construction (if not available, they can be approximated by the construction costs variable)
• labour input indicators: number of employees and self-employed persons, hours worked by employees, gross wages and salaries

TRADE

• volume of sales (deflated turnover)*
• turnover (value)
• labour input indicators: number of employees and self-employed persons, hours worked by employees, gross wages and salaries

SERVICES

• production (volume)*
• turnover (in value)
• labour input indicators: number of employees and self-employed persons, hours worked by employees, gross wages and salaries
• producer prices (output prices)*

MARKET ECONOMY

• total market production (volume)
• registrations
• bankruptcies

National reference metadata of the reporting countries are available in the Annexes to this metadata file.

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

Personal bankruptcy filings in the United States increased, per capita, nearly 350 percent between 1980 and 2005. This paper first addresses the changes in economic and institutional factors that have occurred over the past 100 years, many of which have occurred in the past 30 years, which are likely contributors to the dramatic rise in personal bankruptcy filings seen across the country. These factors include a reduction in personal savings, an increase in consumer debt, the proliferation of revolving credit, changes to bankruptcy law, and a reduced social stigma associated with filing for bankruptcy. Given the availability of bankruptcy data at various levels of aggregation, the remaining sections of the paper contain results from several different empirical analyses of bankruptcy filings using various data sets. Careful attention is paid to personal bankruptcy filings in counties located in Eighth Federal Reserve District states.

Canada Insolvency Statistics: Bankruptcy: Business: Individual data was reported at 44.000 Unit in Feb 2025. This records a decrease from the previous number of 51.000 Unit for Jan 2025. Canada Insolvency Statistics: Bankruptcy: Business: Individual data is updated monthly, averaging 49.000 Unit from Jan 2018 (Median) to Feb 2025, with 86 observations. The data reached an all-time high of 79.000 Unit in Mar 2019 and a record low of 17.000 Unit in Jul 2021. Canada Insolvency Statistics: Bankruptcy: Business: Individual data remains active status in CEIC and is reported by Office of the Superintendent of Bankruptcy. The data is categorized under Global Database’s Canada – Table CA.O009: Insolvency Statistics: Business. [COVID-19-IMPACT]

This paper explores predicting early signals of business failure using modern models for bankruptcy prediction. It reviews how continuous operations enhance market value, strengthening competitiveness and reputation among stakeholders. The study involves medium and large companies in the Montenegrin market from 2015 to 2020, comprising 30 bankrupt and 70 financially stable firms. Logistic regression is also employed to create a logit model for early detection of bankruptcy signals in companies. This research establishes the empirical validity of modern models in predicting business failure in the Montenegrin market, particularly through logistic regression. Significant indicators, such as the Degree of Indebtedness (DI) and turnover ratio of business assets (TR), exhibit strong predictive power with a p-value less than 0.001 according to Likelihood ratio tests. The paper underscores the potential benefits of bankruptcy prediction for both internal and external stakeholders, especially investors, in enhancing the competitiveness of Montenegro’s large and medium-sized companies. Notably, the research contributes by bridging the gap between theory and practice in Montenegro, as bankruptcy prediction models have not been extensively applied in the market. The authors suggest the possible applicability of the created logit model to neighboring countries with similar economic development levels. In that sense, the concept of predicting bankruptcy is positioned as integral to corporate strategy, impacting the overall reduction of bankruptcies. The paper concludes by highlighting its role as a foundation for future research, addressing the literature gap in the application of bankruptcy prediction models in Montenegro. The created logit model, tailored to the specific needs of Montenegrin companies, is presented as an original contribution, emphasizing its potential to strengthen the competitiveness of companies in the market.

In 2023, Alabama had the highest personal bankruptcy filing rate in the United States. In Alabama ****** inhabitants per 100,000 had filed for bankruptcy. In comparison, Alaska had the lowest bankruptcy filing rate, where ***** inhabitants per 100,000 filed for bankruptcy. Filing for bankruptcy Bankruptcy is a legal process that occurs when a person, business, or organization does not have enough money to pay for all of its debts. Personal bankruptcy happens for a multitude of reasons, with one of the biggest factors being medical debt. Corporate bankruptcy happens when businesses fail or because of financial distress. When a person cannot pay off their debts, a professional accountant is appointed as a trustee in bankruptcy. Their assets are frozen and then sold in order to pay off as much of the person’s debts as possible. When an organization can’t pay back its debts, a liquidator is appointed by the court. Assets are not protected, so everything can be sold off to cover the bankruptcy. In 2020, J.C. Penny Company Inc. had the largest Chapter 11 bankruptcy filings in the United States in terms of assets. U.S. bankruptcy In 2023, California had the largest number of bankruptcy filings in the United States, while Alaska had the lowest. The number of non-business bankruptcy filings has been decreasing since 2010. The same is true for the annual number of business bankruptcy cases which have been in decline since 2009.

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

In 2021, the number of bankruptcies of medical clinics in Japan amounted to **. In total, ** medical institutions in the country went bankrupt in the same year. Tokyo Prefecture recorded ***** bankruptcies of facilities, which was the highest number among all prefectures.

this graph was created in code R :

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F16731800%2F378336fa5eb5b0de3b3d80f7cff995c7%2Fgraph1.png?generation=1750621862986539&alt=media" alt=""> https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F16731800%2F491e74c100b010adcebc0eda582e9fd0%2Fgraph2.gif?generation=1750621868883817&alt=media" alt=""> https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F16731800%2Fe5592ea1311aaebdb9458a8d86b7c93d%2Fgraph3.gif?generation=1750621874438627&alt=media" alt=""> sudden increase in NPLs and bankruptcies poses a significant challenge for the capacity of insolvency systems to resolve bankruptcies in a timely manner. Furthermore, borrowers cannot declare themselves insolvent in countries with nonexistent or limited insolvency mechanisms. Creating or improving formal legal insolvency systems, facilitating out-of-court workouts, tailoring certain rules for small businesses, and promoting debt forgiveness and long-term reputational protection for former debtors, can help avoid the risk of long-term and unresolvable debt distress.

Building on chapter 2 on financial institutions, this chapter looks at the consumers of finance—households and firms—and especially at the insolvency systems countries can use in facilitating an equitable

recovery from the COVID-19 (coronavirus) economic crisis. Those systems—debt enforcement laws and

their institutional framework—are essential to achieving recovery. The reforms highlighted in this chapter, informed by the World Bank’s “Principles for Effective Insolvency and Creditor/Debtor Regimes” and

the “Legislative Guide on Insolvency Law” issued by the United Nations Commission on International

Trade Law (UNCITRAL),1

focus on mechanisms for restructuring or discharging debt.

Effective debt resolution, which these reforms facilitate, can contribute to economic growth and

contain the wider economic impact of business distress. In addition to establishing fairness for debtors

by providing a pathway out of perpetual indebtedness, well-functioning insolvency systems can spur

future innovation and economic growth by freeing up capital for lending to new and productive enterprises. To deliver on this potential, insolvency systems have to find an effective balance between the

need, on the one hand, to address individual instances of overindebtedness and, on the other, to discourage borrowers from engaging in unnecessary risk-taking.

In 2025, there are forecasted to be around *********** business insolvencies in ******, the most of any European country. In *******, Europe's largest economy, there are expected to be *********** business insolvencies.

In 2024, the total liabilities of bankrupt companies in Japan amounted to *** trillion yen, a decrease of about *** percent from the previous year. The number of corporate bankruptcies in the country rose by **** percent year on year.

From the onset of the Global Financial Crisis in the Summer of 2007, the world economy experienced an almost unprecedented period of turmoil in which millions of people were made unemployed, businesses declared bankruptcy en masse, and structurally critical financial institutions failed. The crisis was triggered by the collapse of the U.S. housing market and subsequent losses by investment banks such as Bear Stearns, Lehman Brothers, and Merrill Lynch. These institutions, which had become over-leveraged with complex financial securities known as derivatives, were tied to each other through a web of financial contracts, meaning that the collapse of one investment bank could trigger the collapse of several others. As Lehman Brothers failed on September 15. 2008, becoming the largest bankruptcy in U.S. history, shockwaves were felt throughout the global financial system. The sudden stop of flows of credit worldwide caused a financial panic and sent most of the world's largest economies into a deep recession, later known as the Great Recession. The World Economy in recession
More than any other period in history, the world economy had become highly interconnected and interdependent over the period from the 1970s to 2007. As governments liberalized financial flows, banks and other financial institutions could take money in one country and invest it in another part of the globe. Financial institutions and other non-financial companies became multinational, meaning that they had subsidiaries and partners in many regions. All this meant that when Wall Street, the center of global finance in New York City, was shaken by bankruptcies and credit freezes in late 2007, other advanced economies did not need to wait long to feel the tremors. All of the G7 countries, the seven most economically advanced western-aligned countries, entered recession in 2008, before experiencing an even deeper trough in 2009. While all returned to growth by 2010, this was less stable in the countries of the Eurozone (Germany, France, Italy) over the following years due to the Eurozone crisis, as well as in Japan, which has had issues with low growth since the mid-1990s.

Modern models for predicting bankruptcy—"healthy companies".

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