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The current value of the Job Layoffs and Discharges in United States is 1.678 M . The Job Layoffs and Discharges in United States increased to 1.678 M on 5/1/2024, after it was 1.542 M on 4/1/2024. From 12/1/2000 to 6/1/2024, the average GDP in United States was 1.92 M . The all-time high was reached on 3/1/2020 with 13.52 M , while the lowest value was recorded on 6/1/2021 with 1.29 M .
Job Layoffs and Discharges ·
3 years
5 years
10 years
25 Years
Max
Layoffs and Terminations | |
---|---|
12/1/2000 | 2.02 M |
1/1/2001 | 2.22 M |
2/1/2001 | 1.86 M |
3/1/2001 | 2.13 M |
4/1/2001 | 1.88 M |
5/1/2001 | 2.03 M |
6/1/2001 | 2.02 M |
7/1/2001 | 2.04 M |
8/1/2001 | 2.01 M |
9/1/2001 | 2.11 M |
10/1/2001 | 2.32 M |
11/1/2001 | 2.26 M |
12/1/2001 | 1.92 M |
1/1/2002 | 1.91 M |
2/1/2002 | 1.98 M |
3/1/2002 | 1.88 M |
4/1/2002 | 1.96 M |
5/1/2002 | 1.97 M |
6/1/2002 | 2.02 M |
7/1/2002 | 2.1 M |
8/1/2002 | 1.92 M |
9/1/2002 | 2.02 M |
10/1/2002 | 1.94 M |
11/1/2002 | 1.94 M |
12/1/2002 | 2.01 M |
1/1/2003 | 2.11 M |
2/1/2003 | 2.02 M |
3/1/2003 | 1.95 M |
4/1/2003 | 2 M |
5/1/2003 | 2.07 M |
6/1/2003 | 2.08 M |
7/1/2003 | 2.06 M |
8/1/2003 | 2.16 M |
9/1/2003 | 1.93 M |
10/1/2003 | 1.97 M |
11/1/2003 | 1.95 M |
12/1/2003 | 2.01 M |
1/1/2004 | 2.04 M |
2/1/2004 | 1.99 M |
3/1/2004 | 2.07 M |
4/1/2004 | 2.01 M |
5/1/2004 | 1.91 M |
6/1/2004 | 1.89 M |
7/1/2004 | 1.89 M |
8/1/2004 | 1.97 M |
9/1/2004 | 2.03 M |
10/1/2004 | 1.9 M |
11/1/2004 | 2.04 M |
12/1/2004 | 1.95 M |
1/1/2005 | 2.01 M |
2/1/2005 | 2.07 M |
3/1/2005 | 2.19 M |
4/1/2005 | 1.96 M |
5/1/2005 | 2.02 M |
6/1/2005 | 2.02 M |
7/1/2005 | 1.9 M |
8/1/2005 | 1.91 M |
9/1/2005 | 2.03 M |
10/1/2005 | 1.87 M |
11/1/2005 | 1.77 M |
12/1/2005 | 1.92 M |
1/1/2006 | 1.78 M |
2/1/2006 | 1.88 M |
3/1/2006 | 1.89 M |
4/1/2006 | 1.85 M |
5/1/2006 | 1.99 M |
6/1/2006 | 1.82 M |
7/1/2006 | 1.86 M |
8/1/2006 | 1.78 M |
9/1/2006 | 1.83 M |
10/1/2006 | 1.9 M |
11/1/2006 | 1.93 M |
12/1/2006 | 1.77 M |
1/1/2007 | 1.92 M |
2/1/2007 | 1.85 M |
3/1/2007 | 1.88 M |
4/1/2007 | 2 M |
5/1/2007 | 1.97 M |
6/1/2007 | 1.85 M |
7/1/2007 | 1.9 M |
8/1/2007 | 2.03 M |
9/1/2007 | 2.19 M |
10/1/2007 | 2 M |
11/1/2007 | 1.97 M |
12/1/2007 | 1.92 M |
1/1/2008 | 1.99 M |
2/1/2008 | 2 M |
3/1/2008 | 1.92 M |
4/1/2008 | 1.96 M |
5/1/2008 | 1.95 M |
6/1/2008 | 2.17 M |
7/1/2008 | 2.07 M |
8/1/2008 | 2.19 M |
9/1/2008 | 2.09 M |
10/1/2008 | 2.25 M |
11/1/2008 | 2.29 M |
12/1/2008 | 2.48 M |
1/1/2009 | 2.58 M |
2/1/2009 | 2.6 M |
3/1/2009 | 2.58 M |
4/1/2009 | 2.65 M |
5/1/2009 | 2.23 M |
6/1/2009 | 2.26 M |
7/1/2009 | 2.27 M |
8/1/2009 | 2.12 M |
9/1/2009 | 2.2 M |
10/1/2009 | 2.03 M |
11/1/2009 | 1.91 M |
12/1/2009 | 2.03 M |
1/1/2010 | 1.88 M |
2/1/2010 | 1.83 M |
3/1/2010 | 1.92 M |
4/1/2010 | 1.75 M |
5/1/2010 | 1.76 M |
6/1/2010 | 2.08 M |
7/1/2010 | 2.17 M |
8/1/2010 | 1.89 M |
9/1/2010 | 1.83 M |
10/1/2010 | 1.75 M |
11/1/2010 | 1.85 M |
12/1/2010 | 1.85 M |
1/1/2011 | 1.83 M |
2/1/2011 | 1.76 M |
3/1/2011 | 1.79 M |
4/1/2011 | 1.79 M |
5/1/2011 | 1.9 M |
6/1/2011 | 1.94 M |
7/1/2011 | 1.85 M |
8/1/2011 | 1.85 M |
9/1/2011 | 1.87 M |
10/1/2011 | 1.79 M |
11/1/2011 | 1.91 M |
12/1/2011 | 1.8 M |
1/1/2012 | 1.8 M |
2/1/2012 | 1.9 M |
3/1/2012 | 1.78 M |
4/1/2012 | 1.88 M |
5/1/2012 | 1.97 M |
6/1/2012 | 1.89 M |
7/1/2012 | 1.72 M |
8/1/2012 | 1.89 M |
9/1/2012 | 1.81 M |
10/1/2012 | 1.89 M |
11/1/2012 | 1.92 M |
12/1/2012 | 1.7 M |
1/1/2013 | 1.68 M |
2/1/2013 | 1.66 M |
3/1/2013 | 1.79 M |
4/1/2013 | 1.79 M |
5/1/2013 | 1.84 M |
6/1/2013 | 1.76 M |
7/1/2013 | 1.71 M |
8/1/2013 | 1.82 M |
9/1/2013 | 1.89 M |
10/1/2013 | 1.68 M |
11/1/2013 | 1.63 M |
12/1/2013 | 1.77 M |
1/1/2014 | 1.81 M |
2/1/2014 | 1.77 M |
3/1/2014 | 1.7 M |
4/1/2014 | 1.76 M |
5/1/2014 | 1.71 M |
6/1/2014 | 1.76 M |
7/1/2014 | 1.78 M |
8/1/2014 | 1.7 M |
9/1/2014 | 1.72 M |
10/1/2014 | 1.84 M |
11/1/2014 | 1.73 M |
12/1/2014 | 1.86 M |
1/1/2015 | 1.79 M |
2/1/2015 | 1.76 M |
3/1/2015 | 1.97 M |
4/1/2015 | 1.86 M |
5/1/2015 | 1.71 M |
6/1/2015 | 1.82 M |
7/1/2015 | 1.7 M |
8/1/2015 | 1.77 M |
9/1/2015 | 1.96 M |
10/1/2015 | 1.85 M |
11/1/2015 | 1.78 M |
12/1/2015 | 1.8 M |
1/1/2016 | 1.81 M |
2/1/2016 | 1.89 M |
3/1/2016 | 1.85 M |
4/1/2016 | 1.77 M |
5/1/2016 | 1.83 M |
6/1/2016 | 1.75 M |
7/1/2016 | 1.76 M |
8/1/2016 | 1.86 M |
9/1/2016 | 1.59 M |
10/1/2016 | 1.66 M |
11/1/2016 | 1.75 M |
12/1/2016 | 1.71 M |
1/1/2017 | 1.75 M |
2/1/2017 | 1.71 M |
3/1/2017 | 1.76 M |
4/1/2017 | 1.71 M |
5/1/2017 | 1.79 M |
6/1/2017 | 1.97 M |
7/1/2017 | 1.91 M |
8/1/2017 | 1.87 M |
9/1/2017 | 1.79 M |
10/1/2017 | 1.84 M |
11/1/2017 | 1.75 M |
12/1/2017 | 1.73 M |
1/1/2018 | 1.93 M |
2/1/2018 | 1.77 M |
3/1/2018 | 1.8 M |
4/1/2018 | 1.73 M |
5/1/2018 | 1.78 M |
6/1/2018 | 1.82 M |
7/1/2018 | 1.81 M |
8/1/2018 | 1.8 M |
9/1/2018 | 1.76 M |
10/1/2018 | 1.81 M |
11/1/2018 | 1.94 M |
12/1/2018 | 1.84 M |
1/1/2019 | 1.71 M |
2/1/2019 | 1.76 M |
3/1/2019 | 1.69 M |
4/1/2019 | 1.96 M |
5/1/2019 | 1.78 M |
6/1/2019 | 1.78 M |
7/1/2019 | 1.83 M |
8/1/2019 | 1.81 M |
9/1/2019 | 1.97 M |
10/1/2019 | 1.82 M |
11/1/2019 | 1.78 M |
12/1/2019 | 1.93 M |
1/1/2020 | 1.8 M |
2/1/2020 | 1.95 M |
3/1/2020 | 13.52 M |
4/1/2020 | 9.13 M |
5/1/2020 | 2.16 M |
6/1/2020 | 2.23 M |
7/1/2020 | 1.84 M |
8/1/2020 | 1.57 M |
9/1/2020 | 1.57 M |
10/1/2020 | 1.7 M |
11/1/2020 | 2.13 M |
12/1/2020 | 1.92 M |
1/1/2021 | 1.64 M |
2/1/2021 | 1.64 M |
3/1/2021 | 1.49 M |
4/1/2021 | 1.4 M |
5/1/2021 | 1.37 M |
6/1/2021 | 1.29 M |
7/1/2021 | 1.41 M |
8/1/2021 | 1.34 M |
9/1/2021 | 1.44 M |
10/1/2021 | 1.29 M |
11/1/2021 | 1.38 M |
12/1/2021 | 1.39 M |
1/1/2022 | 1.41 M |
2/1/2022 | 1.44 M |
3/1/2022 | 1.39 M |
4/1/2022 | 1.32 M |
5/1/2022 | 1.53 M |
6/1/2022 | 1.47 M |
7/1/2022 | 1.46 M |
8/1/2022 | 1.6 M |
9/1/2022 | 1.46 M |
10/1/2022 | 1.56 M |
11/1/2022 | 1.47 M |
12/1/2022 | 1.51 M |
1/1/2023 | 1.87 M |
2/1/2023 | 1.57 M |
3/1/2023 | 1.83 M |
4/1/2023 | 1.64 M |
5/1/2023 | 1.53 M |
6/1/2023 | 1.59 M |
7/1/2023 | 1.7 M |
8/1/2023 | 1.66 M |
9/1/2023 | 1.6 M |
10/1/2023 | 1.65 M |
11/1/2023 | 1.55 M |
12/1/2023 | 1.61 M |
1/1/2024 | 1.6 M |
2/1/2024 | 1.68 M |
3/1/2024 | 1.6 M |
4/1/2024 | 1.54 M |
5/1/2024 | 1.68 M |
Job Layoffs and Discharges History
Date | Value |
---|---|
5/1/2024 | 1.678 M |
4/1/2024 | 1.542 M |
3/1/2024 | 1.601 M |
2/1/2024 | 1.681 M |
1/1/2024 | 1.596 M |
12/1/2023 | 1.607 M |
11/1/2023 | 1.546 M |
10/1/2023 | 1.653 M |
9/1/2023 | 1.595 M |
8/1/2023 | 1.664 M |
Similar Macro Indicators to Job Layoffs and Discharges
Name | Current | Previous | Frequency |
---|---|---|---|
🇺🇸 ADP Employment Change | 152,000 | 188,000 | Monthly |
🇺🇸 Announcements of Hiring Plans | 4,236 Persons | 9,802 Persons | Monthly |
🇺🇸 Average Hourly Earnings | 0.4 % | 0.2 % | Monthly |
🇺🇸 Average Hourly Earnings YoY | 4.1 % | 4 % | Monthly |
🇺🇸 Average Weekly Hours | 34.3 Hours | 34.3 Hours | Monthly |
🇺🇸 Cancellation rate | 2.2 % | 2.2 % | Monthly |
🇺🇸 Challenger Job Cuts | 57,727 Persons | 55,597 Persons | Monthly |
🇺🇸 Continued Jobless Claims | 1.875 M | 1.869 M | frequency_weekly |
🇺🇸 Employed persons | 161.141 M | 161.496 M | Monthly |
🇺🇸 Employment Cost Index | 1.2 % | 0.9 % | Quarter |
🇺🇸 Employment Cost Index Benefits | 1.1 % | 0.7 % | Quarter |
🇺🇸 Employment Cost Index Wages | 1.1 % | 1.1 % | Quarter |
🇺🇸 Employment rate | 60.1 % | 60.2 % | Monthly |
🇺🇸 Full-time employment | 133.385 M | 133.496 M | Monthly |
🇺🇸 Initial Jobless Claims | 242,000 | 224,000 | frequency_weekly |
🇺🇸 Job Opportunities | 8.14 M | 7.919 M | Monthly |
🇺🇸 Job Opportunities | 8.167 M | 7.239 M | Monthly |
🇺🇸 Job resignations | 3.459 M | 3.452 M | Monthly |
🇺🇸 Labor costs | 121.983 points | 121.397 points | Quarter |
🇺🇸 Labor force participation rate | 62.5 % | 62.6 % | Monthly |
🇺🇸 Long-term unemployment rate | 0.8 % | 0.74 % | Monthly |
🇺🇸 Manufacturing wages | 22,000 | -48,000 | Monthly |
🇺🇸 Minimum Wages | 7.25 USD/Hour | 7.25 USD/Hour | Annually |
🇺🇸 Non-Agricultural Productivity QoQ | 2.2 % | 2.1 % | Quarter |
🇺🇸 Non-farm Payrolls | 272,000 | 165,000 | Monthly |
🇺🇸 Nonfarm Private Employment | 229,000 | 158,000 | Monthly |
🇺🇸 Part-time work | 28.004 M | 27.718 M | Monthly |
🇺🇸 Population | 335.89 M | 334.13 M | Annually |
🇺🇸 Productivity | 111.909 points | 111.827 points | Quarter |
🇺🇸 Retirement Age Men | 66.67 Years | 66.5 Years | Annually |
🇺🇸 Retirement Age Women | 66.67 Years | 66.5 Years | Annually |
🇺🇸 State payroll accounting | 43,000 | 7,000 | Monthly |
🇺🇸 U6 Unemployment Rate | 7.4 % | 7.4 % | Monthly |
🇺🇸 Unemployed Persons | 7.145 M | 6.984 M | Monthly |
🇺🇸 Unemployment Claims 4-Week Average | 240,750 | 238,250 | frequency_weekly |
🇺🇸 Unemployment Rate | 4.2 % | 4.1 % | Monthly |
🇺🇸 Unit Labor Costs QoQ | 0.8 % | -1.1 % | Quarter |
🇺🇸 Wage Growth | 5.6 % | 5.3 % | Monthly |
🇺🇸 Wages | 29.99 USD/Hour | 29.85 USD/Hour | Monthly |
🇺🇸 Wages in Manufacturing | 28.3 USD/Hour | 28.18 USD/Hour | Monthly |
🇺🇸 Youth Unemployment Rate | 9.4 % | 9.5 % | Monthly |
In the United States, layoffs and discharges are involuntary separations initiated by the employer. Job layoffs and discharges are part of the Job Openings and Labor Turnover Survey (JOLTS). The survey collects data from approximately 16,400 nonfarm establishments, including retailers and manufacturers, as well as federal, state, and local government entities across the 50 states and the District of Columbia.
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What is Job Layoffs and Discharges?
Understanding 'Job Layoffs and Discharges' in the Context of Macroeconomics Job layoffs and discharges represent pivotal indicators in the macroeconomic landscape, providing valuable insights into the health and trajectory of an economy. At Eulerpool, we delve into this critical category to equip businesses, policymakers, and researchers with the data required to make informed decisions. Our platform meticulously displays macroeconomic data, aiding an encompassing comprehension of workforce dynamics and economic conditions. 'Job layoffs' and 'discharges' often conjure images of economic downturns, where companies react to unfavorable conditions by reducing their workforce. However, these terms capture a broader spectrum of economic realities. They encompass voluntary and involuntary separations, encompassing layoffs due to strategic restructuring, discharges related to performance, temporary furloughs, and contract terminations. Understanding these nuances is vital, as they influence job markets, consumer behavior, and overall economic stability. The examination of layoffs and discharges begins with recognizing the circumstances that trigger these events. Economic recessions, technological advancements, corporate mergers, and regulatory changes can precipitate workforce reductions. During recessions, businesses face declining revenues and profits, compelling them to streamline operations and minimize costs. Technological advancements can render certain job roles obsolete, resulting in layoffs as companies adopt new systems and processes. Mergers and acquisitions often lead to redundant roles, prompting organizational restructuring and subsequent layoffs. Regulatory changes can also instigate job losses as businesses navigate compliance requirements, sometimes necessitating the elimination of positions deemed non-essential. Analyzing the patterns and trends in layoffs and discharges over time allows for a deeper understanding of their macroeconomic implications. During economic upswings, layoffs and discharges typically decline as businesses expand and hire more employees. Conversely, economic downturns witness a surge in layoffs and discharges as companies respond to adverse conditions. Our comprehensive datasets enable users to track these trends, offering valuable insights into the economic cycle and labor market conditions. One paramount aspect of studying layoffs and discharges is discerning their ripple effects across the economy. When individuals lose their jobs, their disposable income diminishes, leading to a contraction in consumer spending. This reduction reverberates through various sectors, affecting businesses reliant on consumer demand. Companies experiencing a fall in demand might resort to further layoffs, perpetuating a vicious cycle that exacerbates economic woes. Conversely, when layoffs and discharges decrease, consumer confidence tends to rise, bolstering spending and economic growth. Thus, understanding the interplay between job separations and broader economic indicators is crucial for comprehensive macroeconomic analysis. Moreover, the impact of layoffs and discharges extends beyond economic metrics to societal and psychological realms. The loss of employment can lead to heightened stress, anxiety, and lowered self-esteem among affected individuals. The psychological toll of job loss can have far-reaching consequences on overall well-being, family dynamics, and social stability. Recognizing these multifaceted impacts underscores the importance of monitoring and addressing layoffs and discharges within a holistic macroeconomic framework. To further elucidate the importance of these dynamics, it's essential to consider the role of unemployment insurance and social safety nets in mitigating the adverse effects of layoffs and discharges. Unemployment insurance provides temporary financial support to displaced workers, cushioning the blow of lost income and enabling them to maintain basic living standards while seeking new employment. This safety net not only stabilizes individual circumstances but also aids in preventing a sharp decline in aggregate demand. Policymakers and economists closely monitor trends in layoffs and discharges to devise effective strategies for unemployment insurance and other forms of social support, thereby ensuring a more resilient economy. Beyond the immediate consequences, the phenomenon of job layoffs and discharges carries long-term implications for workforce composition and skill development. Technological advancements and economic shifts often necessitate a reevaluation of skill sets and job roles. Workers who lose their jobs may encounter challenges in transitioning to new industries or roles, particularly if their skills become outdated. Therefore, investment in reskilling and upskilling programs becomes paramount. By fostering a workforce adept at adapting to changing economic conditions, countries can enhance their competitiveness and economic resilience. Furthermore, studying the geographic and sectoral distribution of layoffs and discharges unveils critical insights into regional and industry-specific economic trends. Certain regions or industries may experience disproportionate job losses due to localized economic conditions or industry-specific disruptions. For instance, a decline in manufacturing jobs in a particular region can ripple through the local economy, affecting ancillary businesses and services. By analyzing these spatial and sectoral patterns, policymakers can tailor interventions to address regional disparities and promote balanced economic development. At Eulerpool, our commitment to providing accurate and comprehensive macroeconomic data empowers stakeholders to navigate the intricate landscape of job layoffs and discharges. Our platform showcases data from reliable sources, presenting a nuanced understanding of workforce dynamics and economic conditions. Users can leverage this data to make well-informed decisions, whether they are businesses strategizing for future growth, policymakers devising robust economic policies, or researchers exploring the intricacies of labor markets. In conclusion, the category of job layoffs and discharges encompasses a multifaceted dimension of macroeconomics, reflecting the interplay between economic conditions, workforce dynamics, and societal well-being. By delving into the nuanced triggers, patterns, impacts, and long-term implications of layoffs and discharges, stakeholders can gain a comprehensive understanding of this essential macroeconomic indicator. At Eulerpool, we are dedicated to providing the data and insights necessary to navigate these complexities with precision and foresight, fostering a more informed and resilient economic landscape.