The standard Occupational Classification system is a governmental system of classification that identifies different occupations in the workforce. It is utilized by U.S. Federal government agencies gathering occupational data, facilitating comparisons of occupational data across different information sets.
Occupational data is collected in many different ways including from employer, employee and census data. Some of the data that are collected includes details about the job, occupation classification, salary and other benefits offered.
In some countries, there is also data provided by third parties. Data that is supplied in this way may vary in terms of quality and information, but can be helpful when classifying workers into one of the many different occupational categories.
Occupational categories are further categorized according to tasks performed. The classification may include the type of work, number of hours per week or day performed, working conditions such as the environment and machinery used.
In addition to the standard Occupational classification system, there are also classification systems that allow for more specific identification of certain jobs. These jobs may include those that require an education or training in specific subjects or may be specific to a country.
Data is then collected to help classify the data. These data can include details about the job, the type of work performed, occupation classification, the type of worker required, any educational training that may be required and data relating to benefits offered.
This data is then analyzed by a team of trained and experienced professionals who have access to this data in order to create a report on the data. The report includes information on the occupational status of individuals, the nature of the job they do and any training that may be required to perform the job.
This information is useful when creating reports for both employers and employees, as it allows them to make comparisons between different data. Employers can use the data to identify new opportunities in the workplace, as well as ensuring that employees are properly educated for their job.
In addition, the data can be used to establish the salary of employees. This is especially helpful if the data is collected from several sources and is not from an employer or employee.
Data on benefits is used to determine the amount that an employee is entitled to, and can also be used to see if there is an appropriate tax rate. This is used to set the benefits that are being offered to employees.
Employees who do not belong to the category of a particular job can be considered employees of another category. This category may be used to classify employees in terms of gender, religion or race.
Classifications used are usually based on the United States Standard Occupational Classification. (SOC).
These classifications are not all inclusive and are used as a starting point to create a classification, rather than the end-all. As more information becomes available, classification systems are developed to fill in the gaps.
For example, more information about data on employees in the US was obtained using the standard occupational classification system and then further developed with data from other sources. Other classification systems may be developed to fill the gaps left by the system that are based on international standards.
International standards can be very useful in making the classification system as useful as possible. In order to learn more about classification systems, you should contact the United States Bureau of Labor Statistics.
You will be able to view the information about occupational classification system that is available online, including the data base, which is a database that contains over one billion records. that is regularly updated.
Classification systems can be very useful in all areas of the workforce. They provide a basis for ensuring that workers are correctly classified and pay rates are set, as well as being useful in determining the number of jobs that exist in the workplace.