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Price
The current value of the Wages in Manufacturing in Kyrgyzstan is 54,503 KGS/Month. The Wages in Manufacturing in Kyrgyzstan increased to 54,503 KGS/Month on 3/1/2024, after it was 52,782 KGS/Month on 2/1/2024. From 1/1/1999 to 4/1/2024, the average GDP in Kyrgyzstan was 12,429.89 KGS/Month. The all-time high was reached on 12/1/2023 with 64,617 KGS/Month, while the lowest value was recorded on 1/1/1999 with 1,177.7 KGS/Month.
Wages in Manufacturing ·
3 years
5 years
10 years
25 Years
Max
Wages in Manufacturing | |
---|---|
1/1/1999 | 1,177.7 KGS/Month |
2/1/1999 | 1,229.2 KGS/Month |
3/1/1999 | 1,267.7 KGS/Month |
4/1/1999 | 1,245.5 KGS/Month |
5/1/1999 | 1,286.3 KGS/Month |
6/1/1999 | 1,487 KGS/Month |
7/1/1999 | 1,478.5 KGS/Month |
8/1/1999 | 1,428.7 KGS/Month |
9/1/1999 | 1,485 KGS/Month |
10/1/1999 | 1,498.3 KGS/Month |
11/1/1999 | 1,723.5 KGS/Month |
12/1/1999 | 1,829.5 KGS/Month |
1/1/2000 | 1,528.5 KGS/Month |
2/1/2000 | 1,639 KGS/Month |
3/1/2000 | 1,644.2 KGS/Month |
4/1/2000 | 1,555.8 KGS/Month |
5/1/2000 | 1,549.3 KGS/Month |
6/1/2000 | 1,639.2 KGS/Month |
7/1/2000 | 1,762.7 KGS/Month |
8/1/2000 | 1,683.8 KGS/Month |
9/1/2000 | 1,640.1 KGS/Month |
10/1/2000 | 1,780.9 KGS/Month |
11/1/2000 | 1,879.7 KGS/Month |
12/1/2000 | 2,306.5 KGS/Month |
1/1/2001 | 1,783.4 KGS/Month |
2/1/2001 | 1,802.1 KGS/Month |
3/1/2001 | 1,907.9 KGS/Month |
4/1/2001 | 1,894 KGS/Month |
5/1/2001 | 1,910.3 KGS/Month |
6/1/2001 | 2,053.1 KGS/Month |
7/1/2001 | 2,152.4 KGS/Month |
8/1/2001 | 2,109.7 KGS/Month |
9/1/2001 | 2,007 KGS/Month |
10/1/2001 | 2,205.6 KGS/Month |
11/1/2001 | 2,335.7 KGS/Month |
12/1/2001 | 2,411.6 KGS/Month |
2/1/2002 | 2,066.2 KGS/Month |
5/1/2002 | 2,253.23 KGS/Month |
8/1/2002 | 2,326.94 KGS/Month |
11/1/2002 | 2,668.04 KGS/Month |
2/1/2003 | 2,473 KGS/Month |
5/1/2003 | 2,695.4 KGS/Month |
8/1/2003 | 2,765.4 KGS/Month |
11/1/2003 | 3,064.5 KGS/Month |
1/1/2004 | 2,774.2 KGS/Month |
2/1/2004 | 3,170.9 KGS/Month |
3/1/2004 | 3,063.5 KGS/Month |
4/1/2004 | 3,045 KGS/Month |
5/1/2004 | 3,086 KGS/Month |
6/1/2004 | 3,137.8 KGS/Month |
7/1/2004 | 3,329.4 KGS/Month |
8/1/2004 | 3,277 KGS/Month |
9/1/2004 | 3,555.1 KGS/Month |
10/1/2004 | 3,394.5 KGS/Month |
11/1/2004 | 3,363.7 KGS/Month |
12/1/2004 | 4,142.2 KGS/Month |
2/1/2005 | 3,379.83 KGS/Month |
4/1/2005 | 3,545.2 KGS/Month |
5/1/2005 | 3,728.1 KGS/Month |
6/1/2005 | 3,637.4 KGS/Month |
7/1/2005 | 3,846.2 KGS/Month |
8/1/2005 | 3,859.1 KGS/Month |
9/1/2005 | 3,680.8 KGS/Month |
10/1/2005 | 3,874.2 KGS/Month |
11/1/2005 | 3,924.7 KGS/Month |
12/1/2005 | 4,219.9 KGS/Month |
1/1/2006 | 3,631.8 KGS/Month |
2/1/2006 | 3,540.8 KGS/Month |
3/1/2006 | 3,909.8 KGS/Month |
4/1/2006 | 3,793 KGS/Month |
5/1/2006 | 3,674.4 KGS/Month |
6/1/2006 | 3,868.4 KGS/Month |
7/1/2006 | 3,793.7 KGS/Month |
8/1/2006 | 4,153 KGS/Month |
9/1/2006 | 4,142.1 KGS/Month |
10/1/2006 | 4,252.2 KGS/Month |
11/1/2006 | 4,336.8 KGS/Month |
12/1/2006 | 4,817.6 KGS/Month |
1/1/2007 | 4,242.5 KGS/Month |
2/1/2007 | 4,366.9 KGS/Month |
3/1/2007 | 4,868.7 KGS/Month |
4/1/2007 | 4,744.6 KGS/Month |
5/1/2007 | 4,895.5 KGS/Month |
6/1/2007 | 5,004.1 KGS/Month |
7/1/2007 | 5,218.8 KGS/Month |
8/1/2007 | 5,705.6 KGS/Month |
9/1/2007 | 5,342 KGS/Month |
10/1/2007 | 5,644.2 KGS/Month |
11/1/2007 | 5,974 KGS/Month |
12/1/2007 | 6,542.1 KGS/Month |
1/1/2008 | 5,774.3 KGS/Month |
2/1/2008 | 5,854.6 KGS/Month |
3/1/2008 | 5,992 KGS/Month |
4/1/2008 | 6,139.9 KGS/Month |
5/1/2008 | 6,035.5 KGS/Month |
6/1/2008 | 6,390.9 KGS/Month |
7/1/2008 | 6,761.7 KGS/Month |
8/1/2008 | 6,562 KGS/Month |
9/1/2008 | 6,467 KGS/Month |
10/1/2008 | 6,716 KGS/Month |
11/1/2008 | 6,733 KGS/Month |
12/1/2008 | 7,398 KGS/Month |
1/1/2009 | 6,408 KGS/Month |
2/1/2009 | 6,783 KGS/Month |
3/1/2009 | 6,833 KGS/Month |
4/1/2009 | 6,829 KGS/Month |
5/1/2009 | 7,832 KGS/Month |
6/1/2009 | 7,233 KGS/Month |
7/1/2009 | 7,459 KGS/Month |
8/1/2009 | 7,381 KGS/Month |
9/1/2009 | 7,415 KGS/Month |
10/1/2009 | 7,404 KGS/Month |
11/1/2009 | 7,686 KGS/Month |
12/1/2009 | 8,514 KGS/Month |
1/1/2010 | 6,973 KGS/Month |
2/1/2010 | 7,022 KGS/Month |
3/1/2010 | 8,000 KGS/Month |
4/1/2010 | 7,468 KGS/Month |
5/1/2010 | 7,474 KGS/Month |
6/1/2010 | 8,195 KGS/Month |
7/1/2010 | 8,274 KGS/Month |
8/1/2010 | 8,343 KGS/Month |
9/1/2010 | 8,381 KGS/Month |
10/1/2010 | 8,320 KGS/Month |
11/1/2010 | 8,642 KGS/Month |
12/1/2010 | 9,569.79 KGS/Month |
1/1/2011 | 8,513.96 KGS/Month |
2/1/2011 | 8,382.11 KGS/Month |
3/1/2011 | 9,079.3 KGS/Month |
4/1/2011 | 9,123.12 KGS/Month |
5/1/2011 | 9,265.15 KGS/Month |
6/1/2011 | 9,605.77 KGS/Month |
7/1/2011 | 9,828.91 KGS/Month |
8/1/2011 | 10,096.44 KGS/Month |
9/1/2011 | 9,668.22 KGS/Month |
10/1/2011 | 10,221.51 KGS/Month |
11/1/2011 | 10,575.61 KGS/Month |
12/1/2011 | 11,818.96 KGS/Month |
1/1/2012 | 10,049.49 KGS/Month |
2/1/2012 | 9,512.46 KGS/Month |
3/1/2012 | 10,754.08 KGS/Month |
4/1/2012 | 10,011.54 KGS/Month |
5/1/2012 | 10,425 KGS/Month |
6/1/2012 | 10,747.43 KGS/Month |
7/1/2012 | 11,031.58 KGS/Month |
8/1/2012 | 11,091.22 KGS/Month |
9/1/2012 | 10,608.38 KGS/Month |
10/1/2012 | 11,232.7 KGS/Month |
11/1/2012 | 10,916.21 KGS/Month |
12/1/2012 | 12,397.22 KGS/Month |
1/1/2013 | 10,551.26 KGS/Month |
2/1/2013 | 10,386.3 KGS/Month |
3/1/2013 | 11,090.88 KGS/Month |
4/1/2013 | 11,268.8 KGS/Month |
5/1/2013 | 11,238 KGS/Month |
6/1/2013 | 11,143 KGS/Month |
7/1/2013 | 11,709 KGS/Month |
8/1/2013 | 11,583 KGS/Month |
9/1/2013 | 11,192 KGS/Month |
10/1/2013 | 11,916 KGS/Month |
11/1/2013 | 11,709 KGS/Month |
12/1/2013 | 13,963 KGS/Month |
1/1/2014 | 11,807 KGS/Month |
2/1/2014 | 11,599 KGS/Month |
3/1/2014 | 12,989 KGS/Month |
4/1/2014 | 13,182 KGS/Month |
5/1/2014 | 12,277 KGS/Month |
6/1/2014 | 12,224 KGS/Month |
7/1/2014 | 12,205 KGS/Month |
8/1/2014 | 12,843 KGS/Month |
9/1/2014 | 12,276 KGS/Month |
10/1/2014 | 12,887 KGS/Month |
11/1/2014 | 12,478 KGS/Month |
12/1/2014 | 14,602 KGS/Month |
1/1/2015 | 11,884 KGS/Month |
2/1/2015 | 11,864 KGS/Month |
3/1/2015 | 12,721 KGS/Month |
4/1/2015 | 12,432 KGS/Month |
5/1/2015 | 12,569 KGS/Month |
6/1/2015 | 12,403 KGS/Month |
7/1/2015 | 12,605 KGS/Month |
8/1/2015 | 12,996 KGS/Month |
9/1/2015 | 12,937 KGS/Month |
10/1/2015 | 13,287 KGS/Month |
11/1/2015 | 12,986 KGS/Month |
12/1/2015 | 14,336 KGS/Month |
1/1/2016 | 12,777 KGS/Month |
2/1/2016 | 12,777 KGS/Month |
3/1/2016 | 13,148 KGS/Month |
4/1/2016 | 12,743 KGS/Month |
5/1/2016 | 12,933 KGS/Month |
6/1/2016 | 12,869 KGS/Month |
7/1/2016 | 13,541 KGS/Month |
8/1/2016 | 14,023 KGS/Month |
9/1/2016 | 13,419 KGS/Month |
10/1/2016 | 14,069 KGS/Month |
11/1/2016 | 14,138 KGS/Month |
12/1/2016 | 15,400 KGS/Month |
1/1/2017 | 14,570 KGS/Month |
2/1/2017 | 14,121 KGS/Month |
3/1/2017 | 14,790 KGS/Month |
4/1/2017 | 14,472 KGS/Month |
5/1/2017 | 14,498 KGS/Month |
6/1/2017 | 14,251 KGS/Month |
7/1/2017 | 15,344 KGS/Month |
8/1/2017 | 15,389 KGS/Month |
9/1/2017 | 15,538 KGS/Month |
10/1/2017 | 15,673 KGS/Month |
11/1/2017 | 15,013 KGS/Month |
12/1/2017 | 18,304 KGS/Month |
1/1/2018 | 14,929 KGS/Month |
2/1/2018 | 14,624 KGS/Month |
3/1/2018 | 15,558 KGS/Month |
4/1/2018 | 16,069 KGS/Month |
5/1/2018 | 15,742 KGS/Month |
6/1/2018 | 15,687 KGS/Month |
7/1/2018 | 16,499 KGS/Month |
8/1/2018 | 16,766 KGS/Month |
9/1/2018 | 15,902 KGS/Month |
10/1/2018 | 17,328 KGS/Month |
11/1/2018 | 16,235 KGS/Month |
12/1/2018 | 18,777 KGS/Month |
1/1/2019 | 16,102 KGS/Month |
2/1/2019 | 16,373 KGS/Month |
3/1/2019 | 16,219 KGS/Month |
4/1/2019 | 16,468 KGS/Month |
5/1/2019 | 15,963 KGS/Month |
6/1/2019 | 16,163 KGS/Month |
7/1/2019 | 16,803 KGS/Month |
8/1/2019 | 16,696 KGS/Month |
9/1/2019 | 16,244 KGS/Month |
10/1/2019 | 17,332 KGS/Month |
11/1/2019 | 17,388 KGS/Month |
12/1/2019 | 19,208 KGS/Month |
1/1/2020 | 18,920 KGS/Month |
2/1/2020 | 18,283 KGS/Month |
3/1/2020 | 18,850 KGS/Month |
4/1/2020 | 17,848 KGS/Month |
5/1/2020 | 17,753 KGS/Month |
6/1/2020 | 18,094 KGS/Month |
7/1/2020 | 18,362 KGS/Month |
8/1/2020 | 18,469 KGS/Month |
9/1/2020 | 18,306 KGS/Month |
10/1/2020 | 19,109 KGS/Month |
11/1/2020 | 19,270 KGS/Month |
12/1/2020 | 23,227 KGS/Month |
1/1/2021 | 19,501 KGS/Month |
2/1/2021 | 20,172 KGS/Month |
3/1/2021 | 21,321 KGS/Month |
4/1/2021 | 20,319 KGS/Month |
5/1/2021 | 20,400 KGS/Month |
6/1/2021 | 19,979 KGS/Month |
7/1/2021 | 21,702 KGS/Month |
8/1/2021 | 22,306 KGS/Month |
9/1/2021 | 21,707 KGS/Month |
10/1/2021 | 22,548 KGS/Month |
11/1/2021 | 22,320 KGS/Month |
12/1/2021 | 27,311 KGS/Month |
1/1/2022 | 23,807 KGS/Month |
2/1/2022 | 23,342 KGS/Month |
3/1/2022 | 26,002 KGS/Month |
4/1/2022 | 23,360 KGS/Month |
5/1/2022 | 25,204 KGS/Month |
6/1/2022 | 25,616 KGS/Month |
7/1/2022 | 25,497 KGS/Month |
8/1/2022 | 26,769 KGS/Month |
9/1/2022 | 25,113 KGS/Month |
10/1/2022 | 28,325 KGS/Month |
11/1/2022 | 27,350 KGS/Month |
12/1/2022 | 34,966 KGS/Month |
1/1/2023 | 45,360 KGS/Month |
2/1/2023 | 45,677 KGS/Month |
3/1/2023 | 50,585 KGS/Month |
4/1/2023 | 44,189 KGS/Month |
5/1/2023 | 47,899 KGS/Month |
6/1/2023 | 46,664 KGS/Month |
7/1/2023 | 49,471 KGS/Month |
8/1/2023 | 48,763 KGS/Month |
9/1/2023 | 46,453 KGS/Month |
10/1/2023 | 47,660 KGS/Month |
11/1/2023 | 47,337 KGS/Month |
12/1/2023 | 64,617 KGS/Month |
1/1/2024 | 53,387 KGS/Month |
2/1/2024 | 52,782 KGS/Month |
3/1/2024 | 54,503 KGS/Month |
Wages in Manufacturing History
Date | Value |
---|---|
3/1/2024 | 54,503 KGS/Month |
2/1/2024 | 52,782 KGS/Month |
1/1/2024 | 53,387 KGS/Month |
12/1/2023 | 64,617 KGS/Month |
11/1/2023 | 47,337 KGS/Month |
10/1/2023 | 47,660 KGS/Month |
9/1/2023 | 46,453 KGS/Month |
8/1/2023 | 48,763 KGS/Month |
7/1/2023 | 49,471 KGS/Month |
6/1/2023 | 46,664 KGS/Month |
Similar Macro Indicators to Wages in Manufacturing
Name | Current | Previous | Frequency |
---|---|---|---|
🇰🇬 Employed persons | 589,948 | 586,001 | Monthly |
🇰🇬 Minimum Wages | 2,460 KGS/Month | 2,337 KGS/Month | Annually |
🇰🇬 Population | 7.04 M | 6.91 M | Annually |
🇰🇬 Unemployed Persons | 61,700 | 65,100 | Monthly |
🇰🇬 Unemployment Rate | 2.2 % | 2.3 % | Monthly |
🇰🇬 Wages | 35,420 KGS/Month | 35,104 KGS/Month | Monthly |
Macro pages for other countries in Asia
- 🇨🇳China
- 🇮🇳India
- 🇮🇩Indonesia
- 🇯🇵Japan
- 🇸🇦Saudi Arabia
- 🇸🇬Singapore
- 🇰🇷South Korea
- 🇹🇷Turkey
- 🇦🇫Afghanistan
- 🇦🇲Armenia
- 🇦🇿Azerbaijan
- 🇧🇭Bahrain
- 🇧🇩Bangladesh
- 🇧🇹Bhutan
- 🇧🇳Brunei
- 🇰🇭Cambodia
- 🇹🇱East Timor
- 🇬🇪Georgia
- 🇭🇰Hong Kong
- 🇮🇷Iran
- 🇮🇶Iraq
- 🇮🇱Israel
- 🇯🇴Jordan
- 🇰🇿Kazakhstan
- 🇰🇼Kuwait
- 🇱🇦Laos
- 🇱🇧Lebanon
- 🇲🇴Macau
- 🇲🇾Malaysia
- 🇲🇻Maldives
- 🇲🇳Mongolia
- 🇲🇲Myanmar
- 🇳🇵Nepal
- 🇰🇵North Korea
- 🇴🇲Oman
- 🇵🇰Pakistan
- 🇵🇸Palestine
- 🇵🇭Philippines
- 🇶🇦Qatar
- 🇱🇰Sri Lanka
- 🇸🇾Syria
- 🇹🇼Taiwan
- 🇹🇯Tajikistan
- 🇹🇭Thailand
- 🇹🇲Turkmenistan
- 🇦🇪United Arab Emirates
- 🇺🇿Uzbekistan
- 🇻🇳Vietnam
- 🇾🇪Yemen
What is Wages in Manufacturing?
Wages in Manufacturing: An In-Depth Analysis At Eulerpool, we pride ourselves on providing insightful and comprehensive macroeconomic data that empowers stakeholders, policymakers, and industry professionals to make informed decisions. One essential component of macroeconomic analysis is the examination of wages in manufacturing—a critical subsector that forms the backbone of numerous economies around the world. Understanding the dynamics of manufacturing wages is vital, as it has far-reaching implications for economic growth, labor market dynamics, inflation, competitiveness, and overall economic stability. Manufacturing industries play a pivotal role in both developing and developed economies by driving industrialization, innovation, and providing substantial employment opportunities. The wages paid to workers within this sector, therefore, become a crucial determinant of not only the living standards of employees but also the broader economic health of a nation. This analysis delves into the various factors influencing manufacturing wages, highlighting their significance within the macroeconomic landscape. To begin with, wages in manufacturing are influenced by an interplay of supply and demand for labor. The demand for skilled and unskilled labor in manufacturing sectors often fluctuates with economic cycles, technological advancements, and shifts in consumer preferences. For instance, during periods of economic expansion, the demand for labor typically rises, which can translate into higher wages as employers compete to attract and retain skilled workers. Conversely, during economic downturns, the demand for labor often declines, leading to wage stagnation or decreases. Technological advancements are another critical factor that directly impacts manufacturing wages. The rise of automation, artificial intelligence, and other innovations have significantly altered the landscape of manufacturing. While automation can lead to displacement of certain job categories, it can simultaneously create demand for higher-skilled positions. For example, while repetitive manual tasks may be increasingly automated, there is a burgeoning need for employees with expertise in operating, maintaining, and improving these automated systems. The wages for such high-skilled labor tend to be relatively high, reflecting the advanced skill sets required. Globalization has also had profound effects on manufacturing wages. With the advent of global supply chains and international trade, manufacturing firms often relocate production to regions where labor costs are comparatively lower. This global wage arbitrage can lead to pressure on wages in higher-cost regions, as companies seek competitive advantages. However, it also results in increased wages and living standards in emerging markets where manufacturing activities are outsourced. Understanding these global dynamics is essential for analyzing wage trends comprehensively. Moreover, government policies and labor regulations play a substantial role in shaping manufacturing wages. Minimum wage laws, labor union activities, and collective bargaining agreements are instrumental in setting wage floors and ensuring fair compensation for workers. In some countries, strong labor unions have successfully negotiated higher wages, benefits, and better working conditions for manufacturing employees. Conversely, in regions with weak labor protections, wages may remain suppressed, potentially leading to exploitation and economic inequality. Fiscal and monetary policies also indirectly affect manufacturing wages by influencing inflation rates, currency stability, and overall economic conditions. Inflation is a key macroeconomic variable that affects the real purchasing power of wages. In periods of high inflation, the nominal increase in wages may not translate into a real increase in purchasing power if the cost of living rises disproportionately. Conversely, in a low-inflation environment, even modest nominal wage increases can lead to significant improvements in real wages. Therefore, monitoring inflation trends is critical for assessing the true impact of wage changes in the manufacturing sector. Another important aspect to consider is the skill level and educational attainment of the manufacturing workforce. Generally, higher wages are correlated with higher levels of educational qualifications and skills. As industries evolve and new manufacturing technologies emerge, the demand for a more educated and skilled workforce has increased. Consequently, investment in education and vocational training is crucial to equip workers with the necessary skills and improve their earning potential. Policymakers and industry stakeholders must focus on developing robust education and training programs to bridge the skill gap in the manufacturing sector. Productivity is closely linked with wage levels in manufacturing. Higher productivity per worker generally leads to higher wages, as the value added by each employee increases. Productivity gains can be achieved through innovations, efficient production processes, and investment in capital equipment. Therefore, fostering an environment that encourages productivity improvements is essential for sustaining wage growth in the manufacturing sector. Another dimension worth noting is the impact of demographic trends on manufacturing wages. An aging workforce, for example, may pose challenges in sustaining productivity levels, necessitating higher wages to attract younger workers into the sector. Demographic shifts such as urbanization also affect labor markets, potentially leading to regional wage disparities. Addressing these demographic challenges requires targeted policy interventions and strategic workforce planning. Furthermore, the gender wage gap in manufacturing remains a notable concern. Despite progress, disparities in wages between male and female workers persist in many regions, driven by factors such as occupational segregation, differing levels of work experience, and potential discrimination. Addressing this issue is essential not only for achieving wage fairness but also for fully utilizing the potential talent pool in the labor market. In conclusion, wages in manufacturing are a multifaceted issue influenced by a complex array of factors including supply and demand dynamics, technological advancements, globalization, government policies, inflation, workforce education and skill levels, productivity, demographic trends, and gender disparities. At Eulerpool, we recognize the critical importance of analyzing these variables to provide accurate and comprehensive macroeconomic data. By understanding the underlying drivers of manufacturing wages, stakeholders can better navigate the economic landscape, implement effective policies, and ultimately foster a more equitable and prosperous economic environment for all.