Occupational classification refers to the process of classifying and summarizing social occupations with the same or similar general and essential characteristics into a certain category system according to certain rules and standards. With the development and progress of society, occupations change rapidly. In addition to abandoning the old and updating the new, the content and methods of activities of the same occupation also change, so the classification of occupations has obvious timeliness. Generally speaking, in the period when the number of occupations was small, occupations and industries were synonymous, but now occupations and industries are two concepts that are both related and different. In the classification of occupations, industries are generally regarded as categories of occupations. In terms of space, the distribution of occupations varies between regions, urban and rural areas, industries or countries.

  Use of occupational information for enterprises and human resources departments:

• Quickly and easily develop effective job descriptions.
• Expand the pool of high-quality candidates for vacant positions.
• Define the success factors of employees' work.
• Align organizational development with workplace needs.
• Refine recruiting and training goals.
• Design competitive compensation and promotion systems.

  What career information can do for job seekers:

• Match jobs that fit their interests, skills, and experience.
• Explore the latest on growing careers using the latest labor market data.
• Research how to find your dream job.
• Maximize earning potential and job satisfaction.
• Understand what makes them successful in their field of work.

  CnOpendata has launched the U.S. occupational job characteristics data, which covers more than 1,000 occupations. It is based on the 2018 version of the International Standard Occupational Classification System and covers occupation-related skills, abilities, knowledge, work activities and interest information. This information can be used to promote career exploration, career counseling and various human resources research.

Time interval

Cross-sectional data: end of 2023

Field display

Career summary

Specific job description

Professional requirements

Work experience requirements

Employee Requirements

Employee characteristics

Professional characteristics

Other information

Sample data

Due to the complex data structure and many branch tables, only some samples are shown on the introduction page. For detailed field indicators and sample data, click on the branch pages of each module on the right to view them.

Basic occupation information table

Related literature

• Lena Hensvik, Thomas Le Barbanchon, Roland Rathelot, 2021, “Job search during the COVID-19 crisis”, Journal of Public Economics, Volume 194.
• Chen Lin, Gao Yuepeng, Yu Linhui, 2024: “How does artificial intelligence change the demand for labor in enterprises? ——Analysis from big data of recruitment platforms”, Management World, Issue 6.

Data update frequency

Annual update

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