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The current value of the Wages in Albania is 73,641 ALL/Month. The Wages in Albania decreased to 73,641 ALL/Month on 3/1/2024, after it was 75,025 ALL/Month on 12/1/2023. From 12/1/1993 to 6/1/2024, the average GDP in Albania was 37,570.07 ALL/Month. The all-time high was reached on 6/1/2024 with 75,114 ALL/Month, while the lowest value was recorded on 12/1/1993 with 3,084 ALL/Month.
Wages ·
3 years
5 years
10 years
25 Years
Max
Wages | |
---|---|
12/1/1993 | 3,084 ALL/Month |
12/1/1994 | 4,778 ALL/Month |
12/1/1995 | 6,406 ALL/Month |
9/1/1996 | 8,044 ALL/Month |
12/1/1996 | 8,638 ALL/Month |
6/1/1997 | 4,400 ALL/Month |
12/1/1997 | 9,758 ALL/Month |
3/1/1998 | 9,985 ALL/Month |
6/1/1998 | 10,015 ALL/Month |
9/1/1998 | 10,022 ALL/Month |
12/1/1998 | 11,509 ALL/Month |
3/1/1999 | 11,739 ALL/Month |
6/1/1999 | 12,059 ALL/Month |
9/1/1999 | 13,006 ALL/Month |
12/1/1999 | 12,507 ALL/Month |
3/1/2000 | 13,201 ALL/Month |
6/1/2000 | 13,201 ALL/Month |
9/1/2000 | 14,016 ALL/Month |
12/1/2000 | 14,981 ALL/Month |
3/1/2001 | 15,001 ALL/Month |
6/1/2001 | 15,109 ALL/Month |
9/1/2001 | 16,784 ALL/Month |
12/1/2001 | 17,218 ALL/Month |
3/1/2002 | 18,420 ALL/Month |
6/1/2002 | 18,833 ALL/Month |
9/1/2002 | 20,462 ALL/Month |
12/1/2002 | 16,659 ALL/Month |
3/1/2003 | 21,076 ALL/Month |
6/1/2003 | 21,077 ALL/Month |
9/1/2003 | 21,165 ALL/Month |
12/1/2003 | 21,324 ALL/Month |
3/1/2004 | 23,077 ALL/Month |
6/1/2004 | 24,230 ALL/Month |
9/1/2004 | 24,957 ALL/Month |
12/1/2004 | 25,331 ALL/Month |
3/1/2005 | 26,091 ALL/Month |
6/1/2005 | 26,612 ALL/Month |
9/1/2005 | 27,197 ALL/Month |
12/1/2005 | 27,333 ALL/Month |
3/1/2006 | 27,333 ALL/Month |
6/1/2006 | 27,606 ALL/Month |
9/1/2006 | 28,950 ALL/Month |
12/1/2006 | 31,400 ALL/Month |
3/1/2007 | 31,850 ALL/Month |
6/1/2007 | 31,850 ALL/Month |
9/1/2007 | 35,650 ALL/Month |
12/1/2007 | 35,650 ALL/Month |
3/1/2008 | 35,800 ALL/Month |
6/1/2008 | 35,943 ALL/Month |
9/1/2008 | 36,093 ALL/Month |
12/1/2008 | 38,310 ALL/Month |
3/1/2009 | 39,396 ALL/Month |
6/1/2009 | 40,100 ALL/Month |
9/1/2009 | 42,000 ALL/Month |
12/1/2009 | 42,000 ALL/Month |
3/1/2010 | 42,000 ALL/Month |
6/1/2010 | 42,800 ALL/Month |
9/1/2010 | 44,700 ALL/Month |
12/1/2010 | 45,000 ALL/Month |
3/1/2011 | 45,500 ALL/Month |
6/1/2011 | 45,500 ALL/Month |
9/1/2011 | 47,660 ALL/Month |
12/1/2011 | 48,000 ALL/Month |
3/1/2012 | 48,800 ALL/Month |
6/1/2012 | 48,800 ALL/Month |
9/1/2012 | 51,270 ALL/Month |
12/1/2012 | 51,500 ALL/Month |
3/1/2013 | 51,700 ALL/Month |
6/1/2013 | 51,700 ALL/Month |
9/1/2013 | 52,600 ALL/Month |
12/1/2013 | 52,600 ALL/Month |
3/1/2014 | 45,961 ALL/Month |
6/1/2014 | 45,994 ALL/Month |
9/1/2014 | 45,613 ALL/Month |
12/1/2014 | 47,451 ALL/Month |
3/1/2015 | 47,801 ALL/Month |
6/1/2015 | 48,107 ALL/Month |
9/1/2015 | 47,368 ALL/Month |
12/1/2015 | 48,287 ALL/Month |
3/1/2016 | 46,664 ALL/Month |
6/1/2016 | 47,038 ALL/Month |
9/1/2016 | 46,933 ALL/Month |
12/1/2016 | 49,409 ALL/Month |
3/1/2017 | 47,143 ALL/Month |
6/1/2017 | 49,150 ALL/Month |
9/1/2017 | 48,863 ALL/Month |
12/1/2017 | 50,614 ALL/Month |
3/1/2018 | 49,145 ALL/Month |
6/1/2018 | 50,392 ALL/Month |
9/1/2018 | 50,015 ALL/Month |
12/1/2018 | 52,312 ALL/Month |
3/1/2019 | 51,531 ALL/Month |
6/1/2019 | 52,645 ALL/Month |
9/1/2019 | 51,870 ALL/Month |
12/1/2019 | 53,458 ALL/Month |
3/1/2020 | 53,232 ALL/Month |
6/1/2020 | 54,149 ALL/Month |
9/1/2020 | 52,815 ALL/Month |
12/1/2020 | 54,951 ALL/Month |
3/1/2021 | 56,019 ALL/Month |
6/1/2021 | 56,710 ALL/Month |
9/1/2021 | 56,435 ALL/Month |
12/1/2021 | 59,565 ALL/Month |
3/1/2022 | 59,242 ALL/Month |
6/1/2022 | 60,666 ALL/Month |
9/1/2022 | 61,613 ALL/Month |
12/1/2022 | 66,014 ALL/Month |
3/1/2023 | 64,706 ALL/Month |
6/1/2023 | 70,905 ALL/Month |
9/1/2023 | 71,486 ALL/Month |
12/1/2023 | 75,025 ALL/Month |
3/1/2024 | 73,641 ALL/Month |
Wages History
Date | Value |
---|---|
3/1/2024 | 73,641 ALL/Month |
12/1/2023 | 75,025 ALL/Month |
9/1/2023 | 71,486 ALL/Month |
6/1/2023 | 70,905 ALL/Month |
3/1/2023 | 64,706 ALL/Month |
12/1/2022 | 66,014 ALL/Month |
9/1/2022 | 61,613 ALL/Month |
6/1/2022 | 60,666 ALL/Month |
3/1/2022 | 59,242 ALL/Month |
12/1/2021 | 59,565 ALL/Month |
Similar Macro Indicators to Wages
Name | Current | Previous | Frequency |
---|---|---|---|
🇦🇱 Employed persons | 1.325 M | 1.338 M | Quarter |
🇦🇱 Employment rate | 57.1 % | 57.7 % | Quarter |
🇦🇱 Labor force participation rate | 63.9 % | 64.5 % | Quarter |
🇦🇱 Minimum Wages | 40,000 ALL/Month | 40,000 ALL/Month | Quarter |
🇦🇱 Population | 2.76 M | 2.79 M | Annually |
🇦🇱 Retirement Age Men | 65 Years | 65 Years | Annually |
🇦🇱 Retirement Age Women | 61.67 Years | 61.5 Years | Annually |
🇦🇱 Unemployed Persons | 75,000 | 77,000 | Quarter |
🇦🇱 Unemployment Rate | 10.7 % | 10.5 % | Quarter |
🇦🇱 Wage Growth | 5.9 % | 13.8 % | Quarter |
🇦🇱 Youth Unemployment Rate | 22 % | 22 % | Quarter |
In Albania, wages are assessed based on average monthly earnings.
Macro pages for other countries in Europe
- 🇦🇹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
- 🇱🇹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 Wages?
Wages represent a fundamental pillar in the study of macroeconomics, serving as a critical indicator of economic health, labor market dynamics, and overall living standards. At Eulerpool, we comprehensively present macroeconomic data, with Wages being a crucial category that offers profound insights into the functioning and stability of economies worldwide. In macroeconomic terms, wages refer to the compensation employees receive for their labor, typically expressed in monetary terms. These compensations are essential not only for the sustenance of individuals and households but also for driving consumer spending, which is a significant component of Gross Domestic Product (GDP). Understanding wage levels and their trends provides profound insights into the economic wellbeing of a nation. Wages are influenced by several factors, including education, experience, skill level, industry, and geographic location. Furthermore, macroeconomic policies, labor market regulations, collective bargaining processes, and global economic conditions also play pivotal roles. These multifaceted influences mean that wages are not just a reflection of individual or company performance but are intricately tied to broader economic phenomena. At the national level, wage trends are crucial indicators of economic vitality. Rising wages often signal growing demand for labor, which can reflect an expanding economy and increased investment. Conversely, stagnating or declining wages may indicate economic distress, high unemployment, or decreased productivity. For policymakers and economists, wage analysis is indispensable for understanding inflation dynamics, as wages significantly impact aggregate demand and price levels. Inflation, often guided by wage adjustments, is a crucial area of focus within macroeconomics. The relationship, commonly referred to as wage-price spiral, posits that increased wages lead to higher consumer spending, driving up demand for goods and services. This increased demand can push up prices, leading to inflation. However, it is not just upward movements that need scrutiny; wage deflation, where wages decrease across the economy, can dampen consumer spending, leading to deflationary pressures, which can be equally perilous. Wage disparity is another critical dimension in the macroeconomic analysis of wages. Economic inequality, often measured by disparities in wage levels, has far-reaching consequences for social cohesion, economic growth, and political stability. High levels of wage inequality can lead to reduced economic mobility and a weakening of middle-class purchasing power, potentially stalling economic growth. On the other hand, more equitable wage distribution can support a more robust and sustainable economic development pathway. Labor market institutions and policies greatly impact wage dynamics. Minimum wage laws, for instance, set the lowest legal hourly pay and aim to ensure a basic standard of living for employees, especially those in low-paying jobs. These laws can have wide-ranging economic impacts, from reducing poverty levels to potentially influencing employment rates. Similarly, collective bargaining agreements, where unions negotiate wages on behalf of workers, can lead to significant wage premiums for unionized employees compared to their non-union counterparts. Globalization and technological advancements are two transformative factors profoundly affecting wage structures. Globalization, with the offshoring of labor-intensive production to lower-wage countries, has reshaped wage landscapes in developed economies, often suppressing wage growth in certain sectors while boosting it in others. Technological advancements, particularly automation and artificial intelligence, present both opportunities and challenges. While these technologies can enhance productivity and create new high-wage job categories, they also risk displacing workers in repetitive and lower-skilled jobs, resulting in wage polarization. Education and skill development are critical to wage dynamics. Higher educational attainment and specialized skills generally correlate with higher wages, reflecting the increased value and productivity of skilled labor. Governments and educational institutions play crucial roles in shaping workforce capabilities through policies and programs that enhance educational access, quality, and relevance to evolving economic needs. Gender and racial wage gaps are additional layers within the macroeconomic wage analysis. Persistent disparities often reflect deep-seated social and economic inequalities. Addressing these gaps requires concerted policy efforts and organizational commitment to equitable pay practices and inclusive labor markets. Wages also intersect significantly with tax policies. Progressive taxation, where higher earnings attract higher tax rates, can help redistribute income and mitigate wage inequality. However, tax policy must balance equity with efficiency to ensure that it does not stifle economic incentives and productivity. In examining wage data at Eulerpool, we provide users with detailed and up-to-date information on wage levels across different economies, sectors, and demographics. Our platform allows for granular analysis, offering invaluable insights for researchers, policymakers, and business leaders. By monitoring and analyzing wage trends, stakeholders can make informed decisions and strategies that align with macroeconomic realities and objectives. In conclusion, wages are a cornerstone of macroeconomic analysis, influencing and reflecting a wide array of economic conditions and trends. At Eulerpool, our dedication to providing accurate and comprehensive wage data empowers users to delve deep into these dynamics, fostering a profound understanding that can drive meaningful economic progress and policy formulation. Understanding wages in their full economic context is vital for anyone engaged in the study or management of economies, as they encapsulate the complex interplay of market forces, policy decisions, and social dynamics.