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The current value of the Full Time Employment in Lithuania is 1.288 M . The Full Time Employment in Lithuania decreased to 1.288 M on 12/1/2023, after it was 1.306 M on 9/1/2023. From 6/1/1998 to 3/1/2024, the average GDP in Lithuania was 1.23 M . The all-time high was reached on 9/1/2005 with 1.33 M , while the lowest value was recorded on 3/1/2010 with 1.1 M .
Full Time Employment ·
3 years
5 years
10 years
25 Years
Max
Full-time employment | |
---|---|
6/1/1998 | 1.33 M |
12/1/1998 | 1.3 M |
6/1/2000 | 1.26 M |
12/1/2000 | 1.19 M |
6/1/2001 | 1.23 M |
12/1/2001 | 1.16 M |
3/1/2002 | 1.16 M |
6/1/2002 | 1.26 M |
9/1/2002 | 1.29 M |
12/1/2002 | 1.22 M |
3/1/2003 | 1.22 M |
6/1/2003 | 1.32 M |
9/1/2003 | 1.31 M |
12/1/2003 | 1.27 M |
3/1/2004 | 1.25 M |
6/1/2004 | 1.29 M |
9/1/2004 | 1.31 M |
12/1/2004 | 1.29 M |
3/1/2005 | 1.29 M |
6/1/2005 | 1.32 M |
9/1/2005 | 1.33 M |
12/1/2005 | 1.32 M |
3/1/2006 | 1.22 M |
6/1/2006 | 1.28 M |
9/1/2006 | 1.28 M |
12/1/2006 | 1.27 M |
3/1/2007 | 1.26 M |
6/1/2007 | 1.32 M |
9/1/2007 | 1.33 M |
12/1/2007 | 1.29 M |
3/1/2008 | 1.29 M |
6/1/2008 | 1.31 M |
9/1/2008 | 1.32 M |
12/1/2008 | 1.29 M |
3/1/2009 | 1.21 M |
6/1/2009 | 1.19 M |
9/1/2009 | 1.2 M |
12/1/2009 | 1.16 M |
3/1/2010 | 1.1 M |
6/1/2010 | 1.11 M |
9/1/2010 | 1.16 M |
12/1/2010 | 1.15 M |
3/1/2011 | 1.1 M |
6/1/2011 | 1.13 M |
9/1/2011 | 1.13 M |
12/1/2011 | 1.13 M |
3/1/2012 | 1.11 M |
6/1/2012 | 1.14 M |
9/1/2012 | 1.16 M |
12/1/2012 | 1.13 M |
3/1/2013 | 1.13 M |
6/1/2013 | 1.16 M |
9/1/2013 | 1.18 M |
12/1/2013 | 1.16 M |
3/1/2014 | 1.15 M |
6/1/2014 | 1.17 M |
9/1/2014 | 1.21 M |
12/1/2014 | 1.18 M |
3/1/2015 | 1.18 M |
6/1/2015 | 1.2 M |
9/1/2015 | 1.21 M |
12/1/2015 | 1.21 M |
3/1/2016 | 1.21 M |
6/1/2016 | 1.22 M |
9/1/2016 | 1.24 M |
12/1/2016 | 1.22 M |
3/1/2017 | 1.18 M |
6/1/2017 | 1.21 M |
9/1/2017 | 1.22 M |
12/1/2017 | 1.21 M |
3/1/2018 | 1.2 M |
6/1/2018 | 1.22 M |
9/1/2018 | 1.26 M |
12/1/2018 | 1.24 M |
3/1/2019 | 1.22 M |
6/1/2019 | 1.24 M |
9/1/2019 | 1.25 M |
12/1/2019 | 1.25 M |
3/1/2020 | 1.24 M |
6/1/2020 | 1.21 M |
9/1/2020 | 1.2 M |
12/1/2020 | 1.21 M |
3/1/2021 | 1.21 M |
6/1/2021 | 1.23 M |
9/1/2021 | 1.25 M |
12/1/2021 | 1.24 M |
3/1/2022 | 1.24 M |
6/1/2022 | 1.29 M |
9/1/2022 | 1.32 M |
12/1/2022 | 1.27 M |
3/1/2023 | 1.25 M |
6/1/2023 | 1.3 M |
9/1/2023 | 1.31 M |
12/1/2023 | 1.29 M |
Full Time Employment History
Date | Value |
---|---|
12/1/2023 | 1.288 M |
9/1/2023 | 1.306 M |
6/1/2023 | 1.304 M |
3/1/2023 | 1.254 M |
12/1/2022 | 1.266 M |
9/1/2022 | 1.318 M |
6/1/2022 | 1.289 M |
3/1/2022 | 1.237 M |
12/1/2021 | 1.241 M |
9/1/2021 | 1.252 M |
Similar Macro Indicators to Full Time Employment
Name | Current | Previous | Frequency |
---|---|---|---|
🇱🇹 Employed persons | 1.454 M | 1.472 M | Quarter |
🇱🇹 Employment Change | 0.2 % | 1 % | Quarter |
🇱🇹 Employment rate | 72.2 % | 72.9 % | Quarter |
🇱🇹 Job Opportunities | 27,372 | 25,876 | Quarter |
🇱🇹 Job Vacancy Rate | 2.1 % | 2 % | Quarter |
🇱🇹 Labor costs | 149.2 points | 145.2 points | Quarter |
🇱🇹 Labor force participation rate | 63.8 % | 63.1 % | Quarter |
🇱🇹 Long-term unemployment rate | 2.4 % | 2.3 % | Quarter |
🇱🇹 Minimum Wages | 924 EUR/Month | 924 EUR/Month | Quarter |
🇱🇹 Part-time work | 85,700 | 84,400 | Quarter |
🇱🇹 Population | 2.886 M | 2.857 M | Annually |
🇱🇹 Productivity | 116.7 points | 116.763 points | Quarter |
🇱🇹 Retirement Age Men | 64.67 Years | 64.5 Years | Annually |
🇱🇹 Retirement Age Women | 64.33 Years | 64 Years | Annually |
🇱🇹 Unemployed Persons | 148,556 | 153,487 | Monthly |
🇱🇹 Unemployment Rate | 8.2 % | 8.6 % | Monthly |
🇱🇹 Wages | 2,161 EUR/Month | 2,110.3 EUR/Month | Quarter |
🇱🇹 Wages in Manufacturing | 2,060.7 EUR/Month | 2,005 EUR/Month | Quarter |
🇱🇹 Youth Unemployment Rate | 16.3 % | 15.2 % | Monthly |
Macro pages for other countries in Europe
- 🇦🇱Albania
- 🇦🇹Austria
- 🇧🇾Belarus
- 🇧🇪Belgium
- 🇧🇦Bosnia and Herzegovina
- 🇧🇬Bulgaria
- 🇭🇷Croatia
- 🇨🇾Cyprus
- 🇨🇿Czech Republic
- 🇩🇰Denmark
- 🇪🇪Estonia
- 🇫🇴Faroe Islands
- 🇫🇮Finland
- 🇫🇷France
- 🇩🇪Germany
- 🇬🇷Greece
- 🇭🇺Hungary
- 🇮🇸Island
- 🇮🇪Ireland
- 🇮🇹Italy
- 🇽🇰Kosovo
- 🇱🇻Latvia
- 🇱🇮Liechtenstein
- 🇱🇺Luxembourg
- 🇲🇰North Macedonia
- 🇲🇹Malta
- 🇲🇩Moldova
- 🇲🇨Monaco
- 🇲🇪Montenegro
- 🇳🇱Netherlands
- 🇳🇴Norway
- 🇵🇱Poland
- 🇵🇹Portugal
- 🇷🇴Romania
- 🇷🇺Russia
- 🇷🇸Serbia
- 🇸🇰Slovakia
- 🇸🇮Slovenia
- 🇪🇸Spain
- 🇸🇪Sweden
- 🇨🇭Switzerland
- 🇺🇦Ukraine
- 🇬🇧United Kingdom
- 🇦🇩Andorra
What is Full Time Employment?
Full-time employment is a critical macroeconomic indicator that provides insights into the overall health and stability of an economy. At Eulerpool, we take pride in offering comprehensive and up-to-date macroeconomic data, and understanding Full-Time Employment trends is crucial for policymakers, economists, business leaders, and investors. By analyzing Full-Time Employment metrics, stakeholders can make informed decisions that foster economic growth, stability, and prosperity. To begin, full-time employment refers to a labor market condition where individuals are employed for a standard number of hours, typically 35 to 40 hours per week, depending on the country's regulations and industry standards. This metric helps distinguish between secure, sustained employment and part-time, casual, or temporary work arrangements. The data on full-time employment is typically collected through surveys conducted by government agencies or labor departments and is a part of the broader employment statistics released periodically. The significance of full-time employment extends beyond mere statistics; it directly affects personal livelihoods, consumer spending, and overall economic performance. Stable, full-time jobs provide individuals with consistent income, benefits such as health insurance, retirement plans, and job security, which in turn leads to higher consumer confidence and increased spending. This consumer spending is a crucial driver of economic growth, as it stimulates demand for goods and services, leading to business expansion and job creation. From a macroeconomic perspective, high levels of full-time employment indicate a robust labor market and a thriving economy. Conversely, low levels of full-time employment or a high prevalence of part-time or underemployment can signal economic distress, reduced consumer spending, and lower economic output. Economists and policymakers closely monitor full-time employment trends to gauge the health of the labor market and formulate policies to address any imbalances. For businesses, full-time employment data can provide insights into labor market conditions, wage trends, and the availability of skilled workers. By understanding these trends, businesses can make strategic decisions regarding hiring, wage negotiations, and workforce planning. For example, in a tight labor market with high full-time employment, businesses might need to offer more competitive wages and benefits to attract and retain talent. Conversely, in a market with high underemployment, businesses might have a larger pool of candidates to choose from and can leverage this in their hiring strategies. Investors also rely on full-time employment data as part of their analysis for making informed investment decisions. A rising trend in full-time employment typically signals a growing economy, which can lead to increased corporate profits and higher stock prices. Conversely, declining full-time employment can be a warning sign of economic slowdown, prompting investors to adjust their portfolios accordingly. Understanding these labor market trends can be particularly valuable in sectors such as retail, hospitality, and technology, which are highly sensitive to changes in employment patterns. On the policy front, governments use full-time employment statistics to design and implement measures aimed at fostering job creation and economic stability. For instance, during periods of high unemployment or underemployment, governments might introduce stimulus packages, tax incentives, or job training programs to boost full-time employment. Conversely, in an overheated labor market where there is a risk of inflation due to high demand for labor, policymakers might consider measures to cool down the economy, such as adjusting interest rates or implementing fiscal restraint. At Eulerpool, our commitment to providing detailed and accurate macroeconomic data ensures that stakeholders have access to reliable full-time employment metrics. We understand that timely and precise data is essential for making informed decisions that can impact not only individual businesses or investments but the broader economic landscape as well. Our platform offers a seamless experience for accessing full-time employment data, allowing users to track trends over time, compare data across regions, and analyze the factors influencing these trends. Users can delve into the granular details of full-time employment statistics, such as industry-specific data, demographic breakdowns, and regional variations, providing a comprehensive view of the labor market. Moreover, we recognize the importance of contextualizing full-time employment data within the broader macroeconomic environment. For example, full-time employment trends can be influenced by various factors such as technological advancements, globalization, demographic shifts, and public policy changes. At Eulerpool, we provide context and analysis alongside our data to help users understand these complex interactions and their implications for full-time employment. In conclusion, full-time employment is a vital macroeconomic indicator that offers valuable insights into the health and stability of an economy. Whether you are a policymaker, business leader, investor, or economist, understanding full-time employment trends is essential for making informed decisions that promote economic growth and stability. At Eulerpool, we are dedicated to providing the highest quality macroeconomic data, including comprehensive full-time employment metrics, to empower our users with the information they need to succeed.