Overview of BLS Wage Data by Area and Occupation

BLS salary data can be obtained through the profession of the country, region, state, and many metropolitan areas and non-metropolitan areas.

More than 800 occupations. Classify data using standard occupational classification (SOC) system

There are about 400 industries. North American Industry Classification System (NAICS) by sector, 3, 4, and 5 Industry wage data in industry

Data due to work characteristics and difficulty and complexity of work. (Excluding Guam, Puerto Rico, Virgin Islands)

375 metropolitan area statistical districts (MSA), 34 metropolitan areas and more than 170 non-capital areas. (The MSA consists of one or more counties (or New England towns) and includes sophisticated economic and social integration between population-rich core areas and surrounding areas. In addition, the MSA has at least one urbanization Area 50,000 is required Some MSAs have divisions called metropolitan areas.

Data due to work characteristics and difficulty and complexity of work. (Excluding Guam, Puerto Rico, Virgin Islands)

BLS salary data by region and occupation can be obtained from national salary survey, vocational employment survey, or current census.

Other BLS plans that are not detailed professions but publish wage data are employment cost trends, current employment statistics, and quarterly senses of employment and wages.

BLS salary data. Another option is for BLS to provide data reduction by occupation, industry, and geographical area. Please note that the data is free, so the information may be slightly out of date. The most relevant result comes from the use of data within one year, but in the absence of survey budget, BLS data is better than speculation. Human resources departments can push data through market wage growth rates and roughly relate information. If custom survey data does not apply to a specific position, industry, or region, you can choose to use a custom survey. The best way is to hire an independent third party to collect and aggregate data. Third parties can guarantee participants that the data is kept confidential. Third party use will also ensure compliance with the US Department of Justice antitrust guidelines, thereby minimizing the organization's legal risk.

The data in this paper is from the BLS Survey of Occupational Employment Statistics (OES). This semi-annual mail survey measures employment and wages of wage workers at nonagricultural facilities. OES estimates are based on samples from approximately 1.2 million US companies, with sample frames in state and metropolitan areas. The OES survey provides the most comprehensive data on occupational wages nationwide. (Please refer to Technical Note.)

The salary of this article is from BLS vocational employment statistics (OES) survey. In this survey, wages are defined as direct total compensation including fees, fee, manufacturing bonus, specific types of compensation such as chips. Prepayments such as overtime or shift differences, and other certain types of bonuses such as profit sharing payments are not included. As data on self-employed workers are not collected in this survey, their wages may differ from the wages listed here.

Wall Street 24/7 reviewed the career data of BLS in order to decide the work of high salary of high school graduates. As stated in BLS, if you need a high school diploma or equivalent to work, please consider your occupation. The job of the highest salary was the work of 13 people, and the average annual income was over $ 60,000. BLS also provides the total number of employers, anticipated change in employment, percentage of self-employed in a particular occupation, typical occupational experience required for occupation, and occupation typical hands-on training.