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The current value of the Wages in China is 114,029 CNY/Year. The Wages in China increased to 114,029 CNY/Year on 1/1/2022, after it was 106,837 CNY/Year on 1/1/2021. From 1/1/1952 to 1/1/2023, the average GDP in China was 18,404.51 CNY/Year. The all-time high was reached on 1/1/2023 with 120,698 CNY/Year, while the lowest value was recorded on 1/1/1952 with 445 CNY/Year.
Wages ·
3 years
5 years
10 years
25 Years
Max
Wages | |
---|---|
1/1/1952 | 445 CNY/Year |
1/1/1953 | 495 CNY/Year |
1/1/1954 | 517 CNY/Year |
1/1/1955 | 527 CNY/Year |
1/1/1956 | 601 CNY/Year |
1/1/1957 | 624 CNY/Year |
1/1/1958 | 536 CNY/Year |
1/1/1959 | 512 CNY/Year |
1/1/1960 | 511 CNY/Year |
1/1/1961 | 510 CNY/Year |
1/1/1962 | 551 CNY/Year |
1/1/1963 | 576 CNY/Year |
1/1/1964 | 586 CNY/Year |
1/1/1965 | 590 CNY/Year |
1/1/1966 | 583 CNY/Year |
1/1/1967 | 587 CNY/Year |
1/1/1968 | 577 CNY/Year |
1/1/1969 | 575 CNY/Year |
1/1/1970 | 561 CNY/Year |
1/1/1971 | 560 CNY/Year |
1/1/1972 | 588 CNY/Year |
1/1/1973 | 587 CNY/Year |
1/1/1974 | 584 CNY/Year |
1/1/1975 | 580 CNY/Year |
1/1/1976 | 575 CNY/Year |
1/1/1977 | 576 CNY/Year |
1/1/1978 | 615 CNY/Year |
1/1/1979 | 668 CNY/Year |
1/1/1980 | 762 CNY/Year |
1/1/1981 | 772 CNY/Year |
1/1/1982 | 798 CNY/Year |
1/1/1983 | 826 CNY/Year |
1/1/1984 | 974 CNY/Year |
1/1/1985 | 1,148 CNY/Year |
1/1/1986 | 1,329 CNY/Year |
1/1/1987 | 1,459 CNY/Year |
1/1/1988 | 1,747 CNY/Year |
1/1/1989 | 1,935 CNY/Year |
1/1/1990 | 2,140 CNY/Year |
1/1/1991 | 2,340 CNY/Year |
1/1/1992 | 2,711 CNY/Year |
1/1/1993 | 3,371 CNY/Year |
1/1/1994 | 4,538 CNY/Year |
1/1/1995 | 5,500 CNY/Year |
1/1/1996 | 6,210 CNY/Year |
1/1/1997 | 6,470 CNY/Year |
1/1/1998 | 7,479 CNY/Year |
1/1/1999 | 8,346 CNY/Year |
1/1/2000 | 9,371 CNY/Year |
1/1/2001 | 10,870 CNY/Year |
1/1/2002 | 12,422 CNY/Year |
1/1/2003 | 14,040 CNY/Year |
1/1/2004 | 16,024 CNY/Year |
1/1/2005 | 18,364 CNY/Year |
1/1/2006 | 21,001 CNY/Year |
1/1/2007 | 24,932 CNY/Year |
1/1/2008 | 29,229 CNY/Year |
1/1/2009 | 32,736 CNY/Year |
1/1/2010 | 37,147 CNY/Year |
1/1/2011 | 42,452 CNY/Year |
1/1/2012 | 47,593 CNY/Year |
1/1/2013 | 52,388 CNY/Year |
1/1/2014 | 57,361 CNY/Year |
1/1/2015 | 63,241 CNY/Year |
1/1/2016 | 68,993 CNY/Year |
1/1/2017 | 76,121 CNY/Year |
1/1/2018 | 84,744 CNY/Year |
1/1/2019 | 90,501 CNY/Year |
1/1/2020 | 97,379 CNY/Year |
1/1/2021 | 106,837 CNY/Year |
1/1/2022 | 114,029 CNY/Year |
Wages History
Date | Value |
---|---|
1/1/2022 | 114,029 CNY/Year |
1/1/2021 | 106,837 CNY/Year |
1/1/2020 | 97,379 CNY/Year |
1/1/2019 | 90,501 CNY/Year |
1/1/2018 | 84,744 CNY/Year |
1/1/2017 | 76,121 CNY/Year |
1/1/2016 | 68,993 CNY/Year |
1/1/2015 | 63,241 CNY/Year |
1/1/2014 | 57,361 CNY/Year |
1/1/2013 | 52,388 CNY/Year |
Similar Macro Indicators to Wages
Name | Current | Previous | Frequency |
---|---|---|---|
🇨🇳 Average Weekly Hours | 48.6 Hours | 48.8 Hours | Monthly |
🇨🇳 Employed persons | 740.41 M | 733.51 M | Annually |
🇨🇳 Labor costs | 65.8 points | 67.4 points | Monthly |
🇨🇳 Minimum Wages | 2,590 CNY/Month | 2,590 CNY/Month | Annually |
🇨🇳 Population | 1.41 B | 1.412 B | Annually |
🇨🇳 Retirement Age Men | 60 Years | 60 Years | Annually |
🇨🇳 Retirement Age Women | 55 Years | 55 Years | Annually |
🇨🇳 Unemployment Rate | 5 % | 5.1 % | Monthly |
🇨🇳 Wages in Manufacturing | 97,528 CNY/Year | 92,459 CNY/Year | Annually |
🇨🇳 Youth Unemployment Rate | 14.2 % | 14.7 % | Monthly |
In China, the average wage pertains to the monetary compensation per individual over a specified period for employees in enterprises, institutions, and government agencies. This metric reflects the overall wage income level during that particular timeframe.
Macro pages for other countries in Asia
- 🇮🇳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
- 🇰🇬Kyrgyzstan
- 🇱🇦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?
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.