In the previous article, we shared the population-related data, various land use area data, pollutant discharge and environmental governance-related data, real estate Investment situation and commercial housing sales area, total retail sales of social consumer goods and balance of deposits and loans of financial institutions at the end of the year, local general public budget revenue and expenditure, number of industrial enterprises, fixed asset investment and foreign economic and trade data, and technological innovation index data (see previous articles for details).
This time we are sharing the labor employment and wages of prefecture-level cities compiled from the "China City Statistical Yearbook" from 2000 to 2022! The data year is from 1999 to 2021, and the statistical objects are cities at the prefecture level and above. The formats are Shp and Excel, involving two statistical calibers of the whole city and municipal districts . There are 10 indicators in total , including:
- Number of employees in urban units at the end of the period (1999-2019/city/district/person)
- Urban private and self-employed persons (1999-2019/whole city/district/person)
- Number of registered unemployed persons in urban areas (1999-2019/whole city/district/person)
- Number of employees in urban non-private units at the end of the period (2020-2021/city/person)
- Average number of employees in urban non-private units (2020-2021/city/10,000 people)
- Total wages of employees in urban non-private units (2020-2021/city/10,000 yuan)
- Average salary of employees in urban non-private units (2020-2021/city/yuan)
- Average number of employees on duty (1999-2019/city/district/10,000 people)
- Total wages of on-the-job employees (1999-2019/city/district/10,000 yuan)
- Average salary of on-the-job workers (1999-2019/city/district/yuan)
The following are the details of the data:
01Data preview
Let's take the city's average number of employees in urban non-private units, the total wages of employees in urban non-private units and the average wage of employees in urban non-private units as examples to preview the data!
1. The average number of employees in non-private units in cities and towns at the prefecture level and above in Shp format (citywide)
Let's take the data of 2021 as an example to preview:
2. Total wages of employees in non-private units in cities and towns at the prefecture level and above in Shp format (citywide)
Let's take the data of 2021 as an example to preview:
3. Average wages of employees in non-private units in cities and towns at prefecture level and above in Shp format (citywide)
Let's take the data of 2021 as an example to preview:
4. Average number of employees in non-private units in cities and towns at the prefecture level and above in Excel format (citywide)
5. Total wages of employees in non-private units in urban non-private units at the prefecture level and above in Excel format (citywide)
6. Average wages of employees in non-private units in cities and towns at the prefecture level and above in Excel format (citywide)
02 Data description
① The statistics of the yearbook are the data of the previous year, so the statistics of the 2000-2022 "China City Statistical Yearbook" are the data of 1999-2021;
②The statistical indicators of the "China City Statistical Yearbook" have changed in the past 23 years, and they are not consistent every year. For example, the average salary of on-the-job employees under the city's caliber has not been counted in the 2021 and 2022 yearbooks!
③ "China City Statistical Yearbook" counts the data of cities, and non-urban administrative units and non-prefecture-level administrative units and above are not included in the statistics. There are a total of 74, specifically: Xing'an League, Xilin Gol League, and Alxa League , Yanbian Korean Autonomous Prefecture, Greater Khingan Mountains, Jiyuan City, Enshi Tujia and Miao Autonomous Prefecture, Xiantao City, Qianjiang City, Tianmen City, Shennongjia Forest District, Xiangxi Tujia and Miao Autonomous Prefecture, Wuzhishan City, Qionghai City, Wenchang City, Wanning City, Dongfang City, Ding'an County, Tunchang County, Chengmai County, Lingao County, Baisha Li Autonomous County, Changjiang Li Autonomous County, Ledong Li Autonomous County, Lingshui Li Autonomous County, Baoting Li and Miao Autonomous County, Qiongzhong Li and Miao Autonomous County, Aba Tibetan and Qiang Autonomous Prefecture, Ganzi Tibetan Autonomous Prefecture, Liangshan Yi Autonomous Prefecture, Qianxinan Buyi and Miao Autonomous Prefecture, Qiandongnan Miao and Dong Autonomous Prefecture, Qiannan Buyi and Miao Autonomous Prefecture, Chuxiong Yi Autonomous Prefecture, Honghe Hani and Yi Autonomous Prefecture, Wenshan Zhuang and Miao Autonomous Prefecture, Xishuangbanna Dai Autonomous Prefecture, Dali Bai Autonomous Prefecture, Dehong Dai and Jingpo Autonomous Prefecture, Nujiang Lisu Autonomous Prefecture, Diqing Tibetan Autonomous Prefecture, Ngari Prefecture, Linxia Hui Autonomous Prefecture, Gannan Tibetan Autonomous Prefecture, Haibei Tibetan Autonomous Prefecture, Huangnan Tibetan Autonomous Prefecture, Hainan Tibetan Autonomous Prefecture, Guoluo Tibetan Autonomous Prefecture Autonomous Prefecture, Yushu Tibetan Autonomous Prefecture, Haixi Mongolian and Tibetan Autonomous Prefecture, Changji Hui Autonomous Prefecture, Boertala Mongolian Autonomous Prefecture, Bayingoleng Mongolian Autonomous Prefecture, Aksu Prefecture, Kizilsu Kirgiz Autonomous Prefecture, Kashi District, Hotan District, Ili Kazakh Autonomous Prefecture , Tacheng District, Altay District, Shihezi City, Alar City, Tumushuke City, Wujiaqu City, Beitun City, Tiemenguan City, Shuanghe City, Kekedala City, Kunyu City, Populus euphratica River City, Xinxing City, Taiwan Province, Hong Kong Special Administrative Region, Macao Special Administrative Region.
④ Due to factors such as the adjustment of administrative divisions, the data of some prefecture-level cities in some years may be missing. For prefecture-level cities with missing data, a null value is used in Excel, and a 0 value is used in Shp, that is, a value of 0 indicates that the data is missing, rather than a data value of 0.
⑤Shp data coordinates are WGS1984 coordinates.
⑥The Shp file uses the administrative divisions of prefecture-level cities in 2021 provided by the official account of "Shudu Chengshi".
At the bottom of the article is our official account business card. We will regularly introduce various urban data and data visualization and analysis technologies. Regarding the labor employment and wages of prefecture-level cities from 1999 to 2021, you are welcome to pay more attention to us to learn more!