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The current value of the Bankruptcies in New Zealand is 65 Individuals. The Bankruptcies in New Zealand increased to 65 Individuals on 4/1/2024, after it was 38 Individuals on 3/1/2024. From 7/1/2003 to 5/1/2024, the average GDP in New Zealand was 167.55 Individuals. The all-time high was reached on 11/1/2006 with 341 Individuals, while the lowest value was recorded on 1/1/2023 with 20 Individuals.
Bankruptcies ·
3 years
5 years
10 years
25 Years
Max
Bankruptcies | |
---|---|
7/1/2003 | 289 Individuals |
8/1/2003 | 267 Individuals |
9/1/2003 | 237 Individuals |
10/1/2003 | 240 Individuals |
11/1/2003 | 203 Individuals |
12/1/2003 | 191 Individuals |
1/1/2004 | 204 Individuals |
2/1/2004 | 233 Individuals |
3/1/2004 | 249 Individuals |
4/1/2004 | 212 Individuals |
5/1/2004 | 217 Individuals |
6/1/2004 | 250 Individuals |
7/1/2004 | 266 Individuals |
8/1/2004 | 269 Individuals |
9/1/2004 | 271 Individuals |
10/1/2004 | 237 Individuals |
11/1/2004 | 264 Individuals |
12/1/2004 | 183 Individuals |
1/1/2005 | 186 Individuals |
2/1/2005 | 270 Individuals |
3/1/2005 | 244 Individuals |
4/1/2005 | 290 Individuals |
5/1/2005 | 265 Individuals |
6/1/2005 | 250 Individuals |
7/1/2005 | 261 Individuals |
8/1/2005 | 290 Individuals |
9/1/2005 | 259 Individuals |
10/1/2005 | 249 Individuals |
11/1/2005 | 263 Individuals |
12/1/2005 | 171 Individuals |
1/1/2006 | 204 Individuals |
2/1/2006 | 253 Individuals |
3/1/2006 | 316 Individuals |
4/1/2006 | 261 Individuals |
5/1/2006 | 295 Individuals |
6/1/2006 | 265 Individuals |
7/1/2006 | 305 Individuals |
8/1/2006 | 322 Individuals |
9/1/2006 | 298 Individuals |
10/1/2006 | 309 Individuals |
11/1/2006 | 341 Individuals |
12/1/2006 | 250 Individuals |
1/1/2007 | 272 Individuals |
2/1/2007 | 295 Individuals |
3/1/2007 | 337 Individuals |
4/1/2007 | 244 Individuals |
5/1/2007 | 321 Individuals |
6/1/2007 | 299 Individuals |
7/1/2007 | 305 Individuals |
8/1/2007 | 320 Individuals |
9/1/2007 | 255 Individuals |
10/1/2007 | 315 Individuals |
11/1/2007 | 192 Individuals |
12/1/2007 | 78 Individuals |
1/1/2008 | 113 Individuals |
2/1/2008 | 158 Individuals |
3/1/2008 | 165 Individuals |
4/1/2008 | 180 Individuals |
5/1/2008 | 177 Individuals |
6/1/2008 | 211 Individuals |
7/1/2008 | 165 Individuals |
8/1/2008 | 143 Individuals |
9/1/2008 | 189 Individuals |
10/1/2008 | 193 Individuals |
11/1/2008 | 213 Individuals |
12/1/2008 | 198 Individuals |
1/1/2009 | 158 Individuals |
2/1/2009 | 232 Individuals |
3/1/2009 | 267 Individuals |
4/1/2009 | 267 Individuals |
5/1/2009 | 271 Individuals |
6/1/2009 | 226 Individuals |
7/1/2009 | 297 Individuals |
8/1/2009 | 264 Individuals |
9/1/2009 | 309 Individuals |
10/1/2009 | 253 Individuals |
11/1/2009 | 281 Individuals |
12/1/2009 | 232 Individuals |
1/1/2010 | 159 Individuals |
2/1/2010 | 230 Individuals |
3/1/2010 | 290 Individuals |
4/1/2010 | 253 Individuals |
5/1/2010 | 245 Individuals |
6/1/2010 | 250 Individuals |
7/1/2010 | 256 Individuals |
8/1/2010 | 232 Individuals |
9/1/2010 | 252 Individuals |
10/1/2010 | 248 Individuals |
11/1/2010 | 254 Individuals |
12/1/2010 | 222 Individuals |
1/1/2011 | 114 Individuals |
2/1/2011 | 228 Individuals |
3/1/2011 | 246 Individuals |
4/1/2011 | 186 Individuals |
5/1/2011 | 236 Individuals |
6/1/2011 | 247 Individuals |
7/1/2011 | 168 Individuals |
8/1/2011 | 262 Individuals |
9/1/2011 | 224 Individuals |
10/1/2011 | 223 Individuals |
11/1/2011 | 233 Individuals |
12/1/2011 | 176 Individuals |
1/1/2012 | 108 Individuals |
2/1/2012 | 247 Individuals |
3/1/2012 | 215 Individuals |
4/1/2012 | 160 Individuals |
5/1/2012 | 223 Individuals |
6/1/2012 | 211 Individuals |
7/1/2012 | 225 Individuals |
8/1/2012 | 191 Individuals |
9/1/2012 | 203 Individuals |
10/1/2012 | 249 Individuals |
11/1/2012 | 196 Individuals |
12/1/2012 | 139 Individuals |
1/1/2013 | 127 Individuals |
2/1/2013 | 167 Individuals |
3/1/2013 | 161 Individuals |
4/1/2013 | 200 Individuals |
5/1/2013 | 195 Individuals |
6/1/2013 | 161 Individuals |
7/1/2013 | 158 Individuals |
8/1/2013 | 145 Individuals |
9/1/2013 | 177 Individuals |
10/1/2013 | 189 Individuals |
11/1/2013 | 225 Individuals |
12/1/2013 | 158 Individuals |
1/1/2014 | 93 Individuals |
2/1/2014 | 173 Individuals |
3/1/2014 | 151 Individuals |
4/1/2014 | 157 Individuals |
5/1/2014 | 175 Individuals |
6/1/2014 | 150 Individuals |
7/1/2014 | 189 Individuals |
8/1/2014 | 156 Individuals |
9/1/2014 | 179 Individuals |
10/1/2014 | 195 Individuals |
11/1/2014 | 146 Individuals |
12/1/2014 | 144 Individuals |
1/1/2015 | 89 Individuals |
2/1/2015 | 201 Individuals |
3/1/2015 | 198 Individuals |
4/1/2015 | 156 Individuals |
5/1/2015 | 157 Individuals |
6/1/2015 | 179 Individuals |
7/1/2015 | 193 Individuals |
8/1/2015 | 161 Individuals |
9/1/2015 | 167 Individuals |
10/1/2015 | 175 Individuals |
11/1/2015 | 151 Individuals |
12/1/2015 | 149 Individuals |
1/1/2016 | 100 Individuals |
2/1/2016 | 170 Individuals |
3/1/2016 | 206 Individuals |
4/1/2016 | 174 Individuals |
5/1/2016 | 173 Individuals |
6/1/2016 | 188 Individuals |
7/1/2016 | 164 Individuals |
8/1/2016 | 193 Individuals |
9/1/2016 | 166 Individuals |
10/1/2016 | 204 Individuals |
11/1/2016 | 159 Individuals |
12/1/2016 | 143 Individuals |
1/1/2017 | 61 Individuals |
2/1/2017 | 191 Individuals |
3/1/2017 | 173 Individuals |
4/1/2017 | 112 Individuals |
5/1/2017 | 161 Individuals |
6/1/2017 | 146 Individuals |
7/1/2017 | 127 Individuals |
8/1/2017 | 148 Individuals |
9/1/2017 | 141 Individuals |
10/1/2017 | 111 Individuals |
11/1/2017 | 136 Individuals |
12/1/2017 | 81 Individuals |
1/1/2018 | 82 Individuals |
2/1/2018 | 134 Individuals |
3/1/2018 | 141 Individuals |
4/1/2018 | 109 Individuals |
5/1/2018 | 138 Individuals |
6/1/2018 | 139 Individuals |
7/1/2018 | 141 Individuals |
8/1/2018 | 130 Individuals |
9/1/2018 | 120 Individuals |
10/1/2018 | 143 Individuals |
11/1/2018 | 114 Individuals |
12/1/2018 | 90 Individuals |
1/1/2019 | 73 Individuals |
2/1/2019 | 109 Individuals |
3/1/2019 | 99 Individuals |
4/1/2019 | 109 Individuals |
5/1/2019 | 112 Individuals |
6/1/2019 | 81 Individuals |
7/1/2019 | 92 Individuals |
8/1/2019 | 133 Individuals |
9/1/2019 | 112 Individuals |
10/1/2019 | 115 Individuals |
11/1/2019 | 101 Individuals |
12/1/2019 | 84 Individuals |
1/1/2020 | 59 Individuals |
2/1/2020 | 102 Individuals |
3/1/2020 | 107 Individuals |
4/1/2020 | 50 Individuals |
5/1/2020 | 66 Individuals |
6/1/2020 | 82 Individuals |
7/1/2020 | 81 Individuals |
8/1/2020 | 95 Individuals |
9/1/2020 | 69 Individuals |
10/1/2020 | 67 Individuals |
11/1/2020 | 64 Individuals |
12/1/2020 | 66 Individuals |
1/1/2021 | 28 Individuals |
2/1/2021 | 73 Individuals |
3/1/2021 | 77 Individuals |
4/1/2021 | 56 Individuals |
5/1/2021 | 53 Individuals |
6/1/2021 | 55 Individuals |
7/1/2021 | 72 Individuals |
8/1/2021 | 53 Individuals |
9/1/2021 | 41 Individuals |
10/1/2021 | 46 Individuals |
11/1/2021 | 36 Individuals |
12/1/2021 | 30 Individuals |
1/1/2022 | 24 Individuals |
2/1/2022 | 48 Individuals |
3/1/2022 | 51 Individuals |
4/1/2022 | 28 Individuals |
5/1/2022 | 60 Individuals |
6/1/2022 | 39 Individuals |
7/1/2022 | 36 Individuals |
8/1/2022 | 48 Individuals |
9/1/2022 | 57 Individuals |
10/1/2022 | 38 Individuals |
11/1/2022 | 46 Individuals |
12/1/2022 | 28 Individuals |
1/1/2023 | 20 Individuals |
2/1/2023 | 51 Individuals |
3/1/2023 | 50 Individuals |
4/1/2023 | 45 Individuals |
5/1/2023 | 55 Individuals |
6/1/2023 | 59 Individuals |
7/1/2023 | 46 Individuals |
8/1/2023 | 39 Individuals |
9/1/2023 | 41 Individuals |
10/1/2023 | 72 Individuals |
11/1/2023 | 71 Individuals |
12/1/2023 | 45 Individuals |
1/1/2024 | 25 Individuals |
2/1/2024 | 58 Individuals |
3/1/2024 | 38 Individuals |
4/1/2024 | 65 Individuals |
Bankruptcies History
Date | Value |
---|---|
4/1/2024 | 65 Individuals |
3/1/2024 | 38 Individuals |
2/1/2024 | 58 Individuals |
1/1/2024 | 25 Individuals |
12/1/2023 | 45 Individuals |
11/1/2023 | 71 Individuals |
10/1/2023 | 72 Individuals |
9/1/2023 | 41 Individuals |
8/1/2023 | 39 Individuals |
7/1/2023 | 46 Individuals |
Similar Macro Indicators to Bankruptcies
Name | Current | Previous | Frequency |
---|---|---|---|
🇳🇿 Business Climate | 27.1 points | 6.1 points | Monthly |
🇳🇿 Capacity Utilization | 88.7 % | 90.2 % | Quarter |
🇳🇿 Changes in Inventory Levels | -869 M NZD | -1.375 B NZD | Quarter |
🇳🇿 Composite PMI | 44.7 points | 47.3 points | Monthly |
🇳🇿 Industrial production | -3.7 % | 0.2 % | Quarter |
🇳🇿 Manufacturing PMI | 47.2 points | 48.9 points | Monthly |
🇳🇿 Manufacturing Sales | -2.2 % | -3.4 % | Quarter |
🇳🇿 Services PMI | 43 points | 46.6 points | Monthly |
🇳🇿 Vehicle Registrations | 3,612 Units | 4,591 Units | Monthly |
In New Zealand, bankruptcy is a legal procedure in which the assets of an insolvent individual are managed and distributed by the Official Assignee for the benefit of all creditors.
Macro pages for other countries in Australia
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.