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The Quarterly Census of Employment and Wages (QCEW, aka ES-202) is a program of the Bureau of Labor Statistics in the US Department of Labor that produces a comprehensive tabulation of employment and wage information for workers covered by state unemployment insurance (UI) laws, as reported to state workforce agencies (SWAs [1]) and the Unemployment Compensation for Federal Employees (UCFE ...
This is a list of U.S. states and the District of Columbia by Employment-to-population ratio (population 16 and over). List
The labor force is the actual number of people available for work and is the sum of the employed and the unemployed. The U.S. labor force reached a record high of 168.7 million civilians in September 2024. [1] In February 2020, at the start of the COVID-19 pandemic in the United States, there were 164.6 million civilians in the labor force. [2]
Federal, state and local governments added 33,000; professional business services, 26,000; and manufacturing, 22,000. But retail lost 28,000 jobs after seasonal adjustments, a sign that holiday ...
The first table contains a list of U.S. states and territories by annual median income. The second table contains a list of U.S. states and territories by annual mean wage. Information from an unknown source; Average wage in the United States was $69,392 in 2020. [1] Median income per person in the U.S. was $42,800 in 2019. [2]
The US economy added more jobs than forecast in November while the unemployment rate ticked higher as the labor market rebounded from a month negatively impacted by severe weather and labor strikes.
The Occupational Employment and Wage Statistics) (OEWS) survey is a semi-annual survey of approximately 200,000 non-farm business establishments conducted by the Bureau of Labor Statistics (BLS), headquartered in Washington, DC with six regional offices and one office in each state. Until the spring of 2021 it was officially called the ...
Because real-time labor market information is scraped from employer, industry organizations, recruiters and job boards and interpreted using natural language text interpretation, it is intrinsically subject to mis-identifications, missed information, and duplications.