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Par 2 € nodrošiniet Amerikas Savienotās Valstis Darba atlaišanas un atbrīvošanas
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Pašreizējā Darba atlaišanas un atbrīvošanas vērtība Amerikas Savienotās Valstis ir 1,678 milj. . Darba atlaišanas un atbrīvošanas vērtība Amerikas Savienotās Valstis palielinājās līdz 1,678 milj. 1.05.2024., pēc tam kad tā bija 1,542 milj. 1.04.2024.. No 1.12.2000. līdz 1.06.2024. vidējais IKP Amerikas Savienotās Valstis bija 1,92 milj. . Vēsturiskā augstākā vērtība tika sasniegta 1.03.2020. ar 13,52 milj. , savukārt zemākā vērtība tika reģistrēta 1.06.2021. ar 1,29 milj. .
Darba atlaišanas un atbrīvošanas ·
Max
Atlaišanas un darba līgumu izbeigšanas | |
---|---|
1.12.2000. | 2,02 milj. |
1.01.2001. | 2,22 milj. |
1.02.2001. | 1,86 milj. |
1.03.2001. | 2,13 milj. |
1.04.2001. | 1,88 milj. |
1.05.2001. | 2,03 milj. |
1.06.2001. | 2,02 milj. |
1.07.2001. | 2,04 milj. |
1.08.2001. | 2,01 milj. |
1.09.2001. | 2,11 milj. |
1.10.2001. | 2,32 milj. |
1.11.2001. | 2,26 milj. |
1.12.2001. | 1,92 milj. |
1.01.2002. | 1,91 milj. |
1.02.2002. | 1,98 milj. |
1.03.2002. | 1,88 milj. |
1.04.2002. | 1,96 milj. |
1.05.2002. | 1,97 milj. |
1.06.2002. | 2,02 milj. |
1.07.2002. | 2,10 milj. |
1.08.2002. | 1,92 milj. |
1.09.2002. | 2,02 milj. |
1.10.2002. | 1,94 milj. |
1.11.2002. | 1,94 milj. |
1.12.2002. | 2,01 milj. |
1.01.2003. | 2,11 milj. |
1.02.2003. | 2,02 milj. |
1.03.2003. | 1,95 milj. |
1.04.2003. | 2,00 milj. |
1.05.2003. | 2,07 milj. |
1.06.2003. | 2,08 milj. |
1.07.2003. | 2,06 milj. |
1.08.2003. | 2,16 milj. |
1.09.2003. | 1,93 milj. |
1.10.2003. | 1,97 milj. |
1.11.2003. | 1,95 milj. |
1.12.2003. | 2,01 milj. |
1.01.2004. | 2,04 milj. |
1.02.2004. | 1,99 milj. |
1.03.2004. | 2,07 milj. |
1.04.2004. | 2,01 milj. |
1.05.2004. | 1,91 milj. |
1.06.2004. | 1,89 milj. |
1.07.2004. | 1,89 milj. |
1.08.2004. | 1,97 milj. |
1.09.2004. | 2,03 milj. |
1.10.2004. | 1,90 milj. |
1.11.2004. | 2,04 milj. |
1.12.2004. | 1,95 milj. |
1.01.2005. | 2,01 milj. |
1.02.2005. | 2,07 milj. |
1.03.2005. | 2,19 milj. |
1.04.2005. | 1,96 milj. |
1.05.2005. | 2,02 milj. |
1.06.2005. | 2,02 milj. |
1.07.2005. | 1,90 milj. |
1.08.2005. | 1,91 milj. |
1.09.2005. | 2,03 milj. |
1.10.2005. | 1,87 milj. |
1.11.2005. | 1,77 milj. |
1.12.2005. | 1,92 milj. |
1.01.2006. | 1,78 milj. |
1.02.2006. | 1,88 milj. |
1.03.2006. | 1,89 milj. |
1.04.2006. | 1,85 milj. |
1.05.2006. | 1,99 milj. |
1.06.2006. | 1,82 milj. |
1.07.2006. | 1,86 milj. |
1.08.2006. | 1,78 milj. |
1.09.2006. | 1,83 milj. |
1.10.2006. | 1,90 milj. |
1.11.2006. | 1,93 milj. |
1.12.2006. | 1,77 milj. |
1.01.2007. | 1,92 milj. |
1.02.2007. | 1,85 milj. |
1.03.2007. | 1,88 milj. |
1.04.2007. | 2,00 milj. |
1.05.2007. | 1,97 milj. |
1.06.2007. | 1,85 milj. |
1.07.2007. | 1,90 milj. |
1.08.2007. | 2,03 milj. |
1.09.2007. | 2,19 milj. |
1.10.2007. | 2,00 milj. |
1.11.2007. | 1,97 milj. |
1.12.2007. | 1,92 milj. |
1.01.2008. | 1,99 milj. |
1.02.2008. | 2,00 milj. |
1.03.2008. | 1,92 milj. |
1.04.2008. | 1,96 milj. |
1.05.2008. | 1,95 milj. |
1.06.2008. | 2,17 milj. |
1.07.2008. | 2,07 milj. |
1.08.2008. | 2,19 milj. |
1.09.2008. | 2,09 milj. |
1.10.2008. | 2,25 milj. |
1.11.2008. | 2,29 milj. |
1.12.2008. | 2,48 milj. |
1.01.2009. | 2,58 milj. |
1.02.2009. | 2,60 milj. |
1.03.2009. | 2,58 milj. |
1.04.2009. | 2,65 milj. |
1.05.2009. | 2,23 milj. |
1.06.2009. | 2,26 milj. |
1.07.2009. | 2,27 milj. |
1.08.2009. | 2,12 milj. |
1.09.2009. | 2,20 milj. |
1.10.2009. | 2,03 milj. |
1.11.2009. | 1,91 milj. |
1.12.2009. | 2,03 milj. |
1.01.2010. | 1,88 milj. |
1.02.2010. | 1,83 milj. |
1.03.2010. | 1,92 milj. |
1.04.2010. | 1,75 milj. |
1.05.2010. | 1,76 milj. |
1.06.2010. | 2,08 milj. |
1.07.2010. | 2,17 milj. |
1.08.2010. | 1,89 milj. |
1.09.2010. | 1,83 milj. |
1.10.2010. | 1,75 milj. |
1.11.2010. | 1,85 milj. |
1.12.2010. | 1,85 milj. |
1.01.2011. | 1,83 milj. |
1.02.2011. | 1,76 milj. |
1.03.2011. | 1,79 milj. |
1.04.2011. | 1,79 milj. |
1.05.2011. | 1,90 milj. |
1.06.2011. | 1,94 milj. |
1.07.2011. | 1,85 milj. |
1.08.2011. | 1,85 milj. |
1.09.2011. | 1,87 milj. |
1.10.2011. | 1,79 milj. |
1.11.2011. | 1,91 milj. |
1.12.2011. | 1,80 milj. |
1.01.2012. | 1,80 milj. |
1.02.2012. | 1,90 milj. |
1.03.2012. | 1,78 milj. |
1.04.2012. | 1,88 milj. |
1.05.2012. | 1,97 milj. |
1.06.2012. | 1,89 milj. |
1.07.2012. | 1,72 milj. |
1.08.2012. | 1,89 milj. |
1.09.2012. | 1,81 milj. |
1.10.2012. | 1,89 milj. |
1.11.2012. | 1,92 milj. |
1.12.2012. | 1,70 milj. |
1.01.2013. | 1,68 milj. |
1.02.2013. | 1,66 milj. |
1.03.2013. | 1,79 milj. |
1.04.2013. | 1,79 milj. |
1.05.2013. | 1,84 milj. |
1.06.2013. | 1,76 milj. |
1.07.2013. | 1,71 milj. |
1.08.2013. | 1,82 milj. |
1.09.2013. | 1,89 milj. |
1.10.2013. | 1,68 milj. |
1.11.2013. | 1,63 milj. |
1.12.2013. | 1,77 milj. |
1.01.2014. | 1,81 milj. |
1.02.2014. | 1,77 milj. |
1.03.2014. | 1,70 milj. |
1.04.2014. | 1,76 milj. |
1.05.2014. | 1,71 milj. |
1.06.2014. | 1,76 milj. |
1.07.2014. | 1,78 milj. |
1.08.2014. | 1,70 milj. |
1.09.2014. | 1,72 milj. |
1.10.2014. | 1,84 milj. |
1.11.2014. | 1,73 milj. |
1.12.2014. | 1,86 milj. |
1.01.2015. | 1,79 milj. |
1.02.2015. | 1,76 milj. |
1.03.2015. | 1,97 milj. |
1.04.2015. | 1,86 milj. |
1.05.2015. | 1,71 milj. |
1.06.2015. | 1,82 milj. |
1.07.2015. | 1,70 milj. |
1.08.2015. | 1,77 milj. |
1.09.2015. | 1,96 milj. |
1.10.2015. | 1,85 milj. |
1.11.2015. | 1,78 milj. |
1.12.2015. | 1,80 milj. |
1.01.2016. | 1,81 milj. |
1.02.2016. | 1,89 milj. |
1.03.2016. | 1,85 milj. |
1.04.2016. | 1,77 milj. |
1.05.2016. | 1,83 milj. |
1.06.2016. | 1,75 milj. |
1.07.2016. | 1,76 milj. |
1.08.2016. | 1,86 milj. |
1.09.2016. | 1,59 milj. |
1.10.2016. | 1,66 milj. |
1.11.2016. | 1,75 milj. |
1.12.2016. | 1,71 milj. |
1.01.2017. | 1,75 milj. |
1.02.2017. | 1,71 milj. |
1.03.2017. | 1,76 milj. |
1.04.2017. | 1,71 milj. |
1.05.2017. | 1,79 milj. |
1.06.2017. | 1,97 milj. |
1.07.2017. | 1,91 milj. |
1.08.2017. | 1,87 milj. |
1.09.2017. | 1,79 milj. |
1.10.2017. | 1,84 milj. |
1.11.2017. | 1,75 milj. |
1.12.2017. | 1,73 milj. |
1.01.2018. | 1,93 milj. |
1.02.2018. | 1,77 milj. |
1.03.2018. | 1,80 milj. |
1.04.2018. | 1,73 milj. |
1.05.2018. | 1,78 milj. |
1.06.2018. | 1,82 milj. |
1.07.2018. | 1,81 milj. |
1.08.2018. | 1,80 milj. |
1.09.2018. | 1,76 milj. |
1.10.2018. | 1,81 milj. |
1.11.2018. | 1,94 milj. |
1.12.2018. | 1,84 milj. |
1.01.2019. | 1,71 milj. |
1.02.2019. | 1,76 milj. |
1.03.2019. | 1,69 milj. |
1.04.2019. | 1,96 milj. |
1.05.2019. | 1,78 milj. |
1.06.2019. | 1,78 milj. |
1.07.2019. | 1,83 milj. |
1.08.2019. | 1,81 milj. |
1.09.2019. | 1,97 milj. |
1.10.2019. | 1,82 milj. |
1.11.2019. | 1,78 milj. |
1.12.2019. | 1,93 milj. |
1.01.2020. | 1,80 milj. |
1.02.2020. | 1,95 milj. |
1.03.2020. | 13,52 milj. |
1.04.2020. | 9,13 milj. |
1.05.2020. | 2,16 milj. |
1.06.2020. | 2,23 milj. |
1.07.2020. | 1,84 milj. |
1.08.2020. | 1,57 milj. |
1.09.2020. | 1,57 milj. |
1.10.2020. | 1,70 milj. |
1.11.2020. | 2,13 milj. |
1.12.2020. | 1,92 milj. |
1.01.2021. | 1,64 milj. |
1.02.2021. | 1,64 milj. |
1.03.2021. | 1,49 milj. |
1.04.2021. | 1,40 milj. |
1.05.2021. | 1,37 milj. |
1.06.2021. | 1,29 milj. |
1.07.2021. | 1,41 milj. |
1.08.2021. | 1,34 milj. |
1.09.2021. | 1,44 milj. |
1.10.2021. | 1,29 milj. |
1.11.2021. | 1,38 milj. |
1.12.2021. | 1,39 milj. |
1.01.2022. | 1,41 milj. |
1.02.2022. | 1,44 milj. |
1.03.2022. | 1,39 milj. |
1.04.2022. | 1,32 milj. |
1.05.2022. | 1,53 milj. |
1.06.2022. | 1,47 milj. |
1.07.2022. | 1,46 milj. |
1.08.2022. | 1,60 milj. |
1.09.2022. | 1,46 milj. |
1.10.2022. | 1,56 milj. |
1.11.2022. | 1,47 milj. |
1.12.2022. | 1,51 milj. |
1.01.2023. | 1,87 milj. |
1.02.2023. | 1,57 milj. |
1.03.2023. | 1,83 milj. |
1.04.2023. | 1,64 milj. |
1.05.2023. | 1,53 milj. |
1.06.2023. | 1,59 milj. |
1.07.2023. | 1,70 milj. |
1.08.2023. | 1,66 milj. |
1.09.2023. | 1,60 milj. |
1.10.2023. | 1,65 milj. |
1.11.2023. | 1,55 milj. |
1.12.2023. | 1,61 milj. |
1.01.2024. | 1,60 milj. |
1.02.2024. | 1,68 milj. |
1.03.2024. | 1,60 milj. |
1.04.2024. | 1,54 milj. |
1.05.2024. | 1,68 milj. |
Darba atlaišanas un atbrīvošanas Vēsture
Datums | Vērtība |
---|---|
1.05.2024. | 1,678 milj. |
1.04.2024. | 1,542 milj. |
1.03.2024. | 1,601 milj. |
1.02.2024. | 1,681 milj. |
1.01.2024. | 1,596 milj. |
1.12.2023. | 1,607 milj. |
1.11.2023. | 1,546 milj. |
1.10.2023. | 1,653 milj. |
1.09.2023. | 1,595 milj. |
1.08.2023. | 1,664 milj. |
Līdzīgi makroekonomiskie rādītāji Darba atlaišanas un atbrīvošanas
Amerikas Savienotajās Valstīs atlaišanas un atstādināšanas ir piespiedu darba attiecību pārtraukšanas, kuras iniciē darba devējs. Darba atlaišanas un atstādināšanas ir daļa no Darba tirgus piedāvājumu un pieprasījumu apsekojuma (JOLTS). Apsekojums vāc datus no aptuveni 16 400 ārpus-lauksaimniecības uzņēmumiem, ieskaitot mazumtirgotājus un ražotājus, kā arī federālās, štatu un vietējās valdības iestādes 50 štatos un Kolumbijas apgabalā.
Makroekonomisko vietņu izklāsts citām valstīm Amerika
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Kas ir Darba atlaišanas un atbrīvošanas
Job Layoffs and Discharges in Latvia: An In-Depth Analysis At Eulerpool, we specialize in providing detailed and precise macroeconomic data to help businesses, policymakers, and researchers make informed decisions. One of the critical facets of macroeconomic analysis is understanding the dynamics of job layoffs and discharges within a given economy. In this article, we delve deep into the issue of job layoffs and discharges in Latvia, examining the underlying causes, trends, implications, and potential solutions. Latvia's economic landscape, like that of many other nations, has witnessed significant fluctuations in employment patterns over the years. These fluctuations are influenced by a myriad of factors, including global economic trends, technological advancements, domestic policies, and industry-specific challenges. Job layoffs and discharges, often perceived as negative economic indicators, are critical areas that require comprehensive analysis to understand their true impact on the economy. To begin with, it's essential to differentiate between layoffs and discharges. Layoffs refer to situations where employees are let go due to external factors such as economic downturns, organizational restructuring, or declining demand for specific products or services. Discharges, on the other hand, typically pertain to employee terminations resulting from performance-related issues or violations of company policies. While both scenarios lead to job losses, the causes and implications can differ significantly. In Latvia, macroeconomic data regarding job layoffs and discharges is collected and analyzed regularly to assess the health of the labor market. One of the primary sources of such information is the Central Statistical Bureau of Latvia, which provides detailed reports on employment changes, unemployment rates, and the reasons behind job separations. According to recent data, job layoffs in Latvia have shown a cyclical pattern, closely tied to global economic conditions and domestic economic policies. During periods of economic growth, layoffs tend to be lower as businesses expand and require more workforce to meet increasing demand. Conversely, economic downturns, such as the global financial crisis of 2008-2009 and the more recent impact of the COVID-19 pandemic, have led to substantial layoffs across various sectors. The service industry, manufacturing, and construction have been particularly vulnerable to such economic shifts. Discharges, while less impacted by economic cycles, provide valuable insights into labor market dynamics. High discharge rates can indicate issues related to workforce management, corporate culture, or competency mismatches. In Latvia, discharge data is vital for employers and policymakers alike to identify areas of concern, develop targeted training programs, and enhance productivity across sectors. Several factors contribute to the incidence of job layoffs and discharges in Latvia: 1. **Economic Cycles**: As mentioned earlier, economic cycles play a significant role. During recessions, businesses face lower revenues and may resort to layoffs to cut costs. Conversely, during periods of growth, the demand for labor increases, reducing the likelihood of layoffs. 2. **Technological Advancements**: Automation and digitization have transformed various industries, often leading to workforce reductions. Jobs that involve routine tasks are particularly susceptible to being automated, thereby increasing layoffs in those sectors. 3. **Globalization**: The integration of global markets means that local businesses are subject to international competition. If Latvian firms fail to compete effectively, it can result in layoffs or even closures. 4. **Domestic Policies**: Government policies, including labor regulations, tax policies, and trade agreements, can influence the labor market. Favorable policies can stimulate job creation, while restrictive measures may lead to layoffs. 5. **Industrial Shifts**: Changes in consumer preferences and technological innovations can lead to industrial shifts. For example, the decline of traditional manufacturing in favor of high-tech industries might result in layoffs in the former and job creation in the latter. 6. **Corporate Restructuring**: Businesses may undergo restructuring to improve efficiency. This can involve layoffs as companies streamline operations. The implications of job layoffs and discharges in Latvia are multifaceted. On an individual level, job loss can lead to financial instability, increased stress, and challenges in securing new employment. For the economy, high rates of layoffs and discharges can indicate underlying issues such as economic instability or industrial decline, which might necessitate policy interventions. To mitigate the impact of job layoffs and discharges, several strategies can be employed: 1. **Skills Training and Retraining**: Investing in workforce development programs to equip workers with the skills needed for emerging industries can reduce the incidence of layoffs. 2. **Economic Diversification**: Encouraging diversification in the economy can help buffer against industry-specific downturns, thereby stabilizing employment levels. 3. **Supportive Policies**: Government policies aimed at promoting business growth and innovation can stimulate job creation. 4. **Social Safety Nets**: Providing unemployment benefits and other support mechanisms can help those affected by job loss to transition more smoothly. 5. **Labor Market Research**: Ongoing research and data collection can help policymakers anticipate trends and develop proactive measures to address potential job losses. In conclusion, job layoffs and discharges remain critical components of Latvia's labor market landscape. Understanding the causes, trends, and implications of these events through comprehensive macroeconomic analysis is essential for developing effective strategies to manage and mitigate their impact. At Eulerpool, we are committed to providing the most accurate and relevant economic data to support informed decision-making and promote a more resilient and dynamic labor market in Latvia.