November 24th, China, November 24, although three hundred and sixty lines, travel out, but the gap between the industry is still very large. What industry \”is the most fragrant\”? Is it still concerned as \”Gao Fu Shuai\” financial industry? What industry pay is big? China New Jingwei contracted recent years of data, perhaps you can tell you the answer.
In the information map
Average salary refers to the unit employment personnel average each person during a certain period of time The resulting monetary payroll, the calculation formula is the average number of employment staff of employment personnel / reporting period in the reporting period.
From the \”China Statistical Yearbook-2012\” disclosure data, the average salary of urban unit employment personnel has grown year by year. In the past five years (2016-2020), urban non-private unit employees have increased by 8.9%, 10.0%, 11.0%, 9.8%, 7.6%, respectively (hereinafter, if there is no special instructions); town The annual average annual payment of private units increased by 8.2%, 6.8%, 8.3%, 8.1%, 7.7% year-on-year.
It can also be seen that the average wage in non-private units is much higher than the private unit. For example, in 2020, the annual average annual salary of non-private units was nearly 40,000 yuan higher than the private unit; in 2019, the average salary of non-private units was nearly 37,000 yuan higher.
Why is the gap between the wage levels? Su Jian, director of the National Economic Research Center of Peking University, told Chinese and private units, including state-owned enterprises, foreign companies, etc. The distribution of private companies is relatively wide. There are large companies, there are small businesses, and the wage gap is large. The average wage level may be lower than the non-private unit, and the working system of the workers will not be completely established, which is also significantly lower than Reasons for the wages of non-private units.
Meng Caewen, deputy director of the Ministry of Statistics, Ministry of Statistics, said that the average salary of employment personnel in urban units reflected in the pre-tax salary, so the average salary published was higher than the actual wage actually got. Salary generally presents a positive bias distribution, and the average is often higher than the general level, that is, most individual data is lower than the average.
The IT class continued for many years \”rebate\”
In the formation industry, the average salary of information transmission, software and information technology service industry all the way \”Gao Song\”.
From the perspective of urban non-private units, in 2016, the information transmission, software and information technology service industry contrast over the financial industry has become the most profitable industry, with an average salary of 122,500 yuan, and for many years, the top of the top. In 2020, the industry has an average annual wage of 177,500 yuan.
Urban private unit, 2010, information transmission, software and information technologyThe service is 312,000 average wage, and there will be \”hegemony\” for many years.
In this regard, Su Jian said that the high-tech industry is in line with the direction of economic transformation and upgrading. The industry talents are relatively supplied, from attracting talent considerations, their wages and growth rates can also grow rapidly.
It is to mention that the average wages of agriculture, forest, animal, animal, and fisheries in 2018 have fallen by 0.1%. In the 2020, the average salary of the urban non-private units, the average salary of the accommodation and catering industry fell by 3.0%, and the average wage in the city, the average wage in the catering industry fell by 0.4%, and the environment and public facilities management industry fell 2.6%. The education industry declined 4.6%.
Meng Cang said in interpreting the average annual salary data in 2020, in addition to the above three industries, the average salary of the remaining industry has grown. The average salary decline in the education industry is due to many private education industry, and the long-term suspension is reduced by long-term suspension under the influence of epidemic.
What industry \”Qian Jing\” is gratifying?
China’s non-private units, information transmission, software and information technology services and financial industry average wages have been more than 100,000 in 2014; scientific research and technical services have been more than 10 consecutive years ten thousand.
China, information transmission, software and information technology service industry exceeded 50,000 yuan in 2014, and in 2020, \”100,000 yuan club\” alone, reaching 101,300 yuan. In addition, scientific research and technical service industry average salary over 50,000 for 6 consecutive years; the financial industry has exceeded 50,000 for 5 consecutive years.
On the average salary growth rate, since 2016, no matter the urban private units or non-private units, information transmission, software and information technology services fluctuate between 8% -11%, only 2020 The average salary growth rate of the industry in the industry is over 18%.
From the perspective of urban non-private units, the average salary of the financial industry is also growing, but the growth rate is significantly lower than the same period information transmission, software and information technology services and scientific research. And technical service industry. \”Scientists\” continued to launch the gap in 2020 in 2020 after the reverse of the financial industry in 2019.
In the urban private unit, the average salary growth rate in the financial industry in 2016,20, 2018, the software and information technology service industry, the mining industry in 2019 and 2020 Higher growth rate is also achieved.
Meng Caewei pointed out that the average salary changes of urban unit employment personnel were influenced by multiple factors, including economic benefits, macro policies, and personnel structural changes. It is necessary to more accurately understand the wage gap and changes, not only to look at the overall average data, but also combine a more detailed partial region, divided into the industry, and divide the pay data for specific analysis.
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