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The current value of the Unemployment Rate in Liechtenstein is 1.3 %. The Unemployment Rate in Liechtenstein decreased to 1.3 % on 1/1/2022, after it was 1.6 % on 1/1/2021. From 1/1/2006 to 1/1/2023, the average GDP in Liechtenstein was 2.19 %. The all-time high was reached on 1/1/2006 with 3.2 %, while the lowest value was recorded on 1/1/2022 with 1.3 %.
Unemployment Rate ·
3 years
5 years
10 years
25 Years
Max
Unemployment Rate | |
---|---|
1/1/2006 | 3.2 % |
1/1/2007 | 2.9 % |
1/1/2008 | 2.3 % |
1/1/2009 | 2.8 % |
1/1/2010 | 2.6 % |
1/1/2011 | 2.3 % |
1/1/2012 | 2.4 % |
1/1/2013 | 2.5 % |
1/1/2014 | 2.4 % |
1/1/2015 | 2.4 % |
1/1/2016 | 2.3 % |
1/1/2017 | 1.9 % |
1/1/2018 | 1.7 % |
1/1/2019 | 1.5 % |
1/1/2020 | 1.9 % |
1/1/2021 | 1.6 % |
1/1/2022 | 1.3 % |
Unemployment Rate History
Date | Value |
---|---|
1/1/2022 | 1.3 % |
1/1/2021 | 1.6 % |
1/1/2020 | 1.9 % |
1/1/2019 | 1.5 % |
1/1/2018 | 1.7 % |
1/1/2017 | 1.9 % |
1/1/2016 | 2.3 % |
1/1/2015 | 2.4 % |
1/1/2014 | 2.4 % |
1/1/2013 | 2.5 % |
Similar Macro Indicators to Unemployment Rate
Name | Current | Previous | Frequency |
---|---|---|---|
🇱🇮 Population | 40,000 | 40,000 | Annually |
🇱🇮 Retirement Age Men | 65 Years | 65 Years | Annually |
🇱🇮 Retirement Age Women | 65 Years | 65 Years | Annually |
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
- 🇱🇹Lithuania
- 🇱🇺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 Unemployment Rate?
The unemployment rate is a crucial macroeconomic indicator that gauges the health and efficiency of an economy. At Eulerpool, we prioritize delivering comprehensive and accurate macroeconomic data, and understanding the unemployment rate's role within an economy is essential for our users. Here, we delve into what the unemployment rate signifies, how it is measured, its implications, and the nuanced factors that influence it. The unemployment rate is a measure indicating the percentage of the labor force that is unemployed and actively seeking employment. This metric is not merely a static number but a dynamic one that reflects economic health, labor market conditions, and broader social trends. By tracking the unemployment rate over time, analysts can assess economic performance, forecast future trends, and develop strategies to address labor market challenges. To understand the unemployment rate, one must first define the labor force. The labor force comprises individuals aged 16 and above who are either employed or actively seeking employment. Those who are retired, pursuing education, or not seeking employment for other reasons are not considered part of the labor force. The unemployment rate is calculated by taking the number of unemployed individuals, dividing it by the labor force, and multiplying by 100 to express it as a percentage. Measuring the unemployment rate involves extensive data collection, usually conducted by national statistical agencies through labor force surveys. Such surveys are typically conducted monthly and include a series of questions designed to discern the employment status of respondents. Respondents are classified as employed, unemployed, or not in the labor force based on their answers. This data collection effort ensures the unemployment rate is a robust and reliable statistic. There are several types of unemployment that contribute to the overall unemployment rate, each with distinct characteristics and policy implications. Frictional unemployment occurs naturally in the economy as people transition between jobs, careers, or locations. It is often short-term and reflects the time taken for job seekers to find new employment that matches their skills and preferences. Structural unemployment is more prolonged and arises when there is a mismatch between the skills of workers and the requirements of available jobs. Technological advancements, shifts in consumer demand, and globalization can all contribute to structural unemployment. Cyclical unemployment is linked to the business cycle, increasing during economic downturns and decreasing during periods of growth. Finally, seasonal unemployment is related to industries with fluctuating labor demands at different times of the year, such as agriculture and tourism. Understanding the unemployment rate requires examining its broader economic implications. High unemployment rates can indicate economic distress, with underutilized labor resources leading to lower production and income levels. This situation can exacerbate poverty, increase demand for social services, and reduce overall consumer spending, further hindering economic growth. Conversely, very low unemployment rates can signal an overheating economy where labor shortages may drive up wages and inflationary pressures. Policymakers closely monitor the unemployment rate to make informed decisions on economic policy. Central banks may alter monetary policy, such as interest rates and money supply, to influence economic activity and stabilize labor markets. Governments can implement fiscal policies, including public spending and tax adjustments, to stimulate job creation and support those affected by unemployment. Additionally, labor market policies such as job training programs, education initiatives, and unemployment benefits are designed to mitigate the adverse effects of unemployment and improve workforce employability. It is also essential to consider the quality of employment, as not all jobs are created equal. Underemployment, where individuals work part-time but wish for full-time positions or hold jobs that underutilize their skills, can also be a significant issue. While these workers are technically employed, their employment situation may not fully reflect economic stability or job satisfaction. International comparisons of unemployment rates can offer insights into different economies' relative performance and labor market health. However, it is crucial to consider the context and nuances of each country's labor market structure, labor laws, and social safety nets. For instance, a low unemployment rate in one country may reflect robust job creation, while in another, it may indicate discouraged workers who have stopped seeking employment and thus are not counted in the labor force. At Eulerpool, we provide detailed data on the unemployment rate alongside other key economic indicators, enabling users to gain a comprehensive understanding of macroeconomic trends. Our platform offers historical data, trend analysis, and comparisons to help users make informed decisions based on the latest economic insights. Understanding the complexities surrounding the unemployment rate is vital for economists, policymakers, investors, and businesses alike, as it informs strategic planning, investment decisions, and policy formulation. The unemployment rate is more than a statistic; it is a vital sign of economic and social well-being. By monitoring and analyzing this indicator, we can gain valuable insights into the labor market's dynamics, the efficacy of economic policies, and the broader health of the economy. Eulerpool remains committed to providing accurate, up-to-date data on the unemployment rate, empowering our users with the knowledge to navigate the complexities of the modern economy.