Sentences with phrase «wage data done»
Wage data do not include benefits or other compensation.
https://www.bls.gov/ Not exact matches
It's not just entry - level workers or low - wage clerks who collect and process data; people whose annual incomes exceed $ 200,000 spend more than 30 % of their time doing so, too.
Given this data, there does appear to be room to increase the minimum wage without causing significant job loss.
That figure doesn't bear out compared to independent data reports from the Bureau of Labor Statistics, which puts Amazon wages 15 percent below the average wage in 11 metro areas, at only $ 11.96 an hour, a number roughly equivalent to the average retail wage.
These effects may have to do with the intra-month timing of wage payments, which US Treasury Statement data suggest are elevated around the 1st and 15th of each month.»
As they did in the 2008 report, Allegreto and Mishel rely on the weekly wages reported by public school teachers in the Current Population Survey, leading to confusion about whether the wage data refer to annual salary divided by 52 weeks or by some smaller number of weeks that reflects teachers» shorter work year.
It does not include pay for self - employed workers, agriculture workers, or workers in private households because these data are not collected by the Occupational Employment Statistics (OES) survey, the source of BLS wage data in the OOH.
It does not include pay for self - employed workers, agriculture workers, or workers in private households because these data are not collected by the Occupational Employment Statistics (OES) survey, the source of BLS wage data in the OOH.
BLS does not have wage data specific to the solar power industry.
BLS does not currently publish wage data available for solar photovoltaic installers, but these data are being collected.
However, BLS does track wage data for the Semiconductor and Other Electronic Component Manufacturing industry group, which includes production of solar panels.
I guess I'd add that this is understandable, given that the denier camp really doesn't have much actual science to use as ammunition or to build their arguments on, and thus they tend to wage their campaign by cherrypicking data, or seeking to attack narrow and often out - of - context passages found in scientific papers or in simplified postings about those papers found on sites like Skeptical Science.
If you're worried about gender disparity and things like that, I definitely suggest pulling some data from your area based on what is the average salary that somebody in this position is making or what's the hourly wage rate, and that will help give you some guidance on am I in the ballpark, am I out of the ballpark, and then from there if you have a sliding scale, if you're starting at $ 50,000 and they could potentially earn up to $ 62,000, what does that scale look like, what are the qualifications that will have them making $ 50,000 versus $ 62,000 and just being really super clear like education if they have a Masters Degree versus a 4 - year degree, or they have a PhD versus a Masters Degree, how does that impact pay.
It does not include pay for self - employed workers, agriculture workers, or workers in private households because these data are not collected by the Occupational Employment Statistics (OES) survey, the source of BLS wage data in the OOH.
However, sector - specific data on changes in average hourly earnings for assisted living properties, as tracked and monitored by the U.S. Bureau of Labor Statistics, do show upward pressure on wage rates.
It does not include pay for self - employed workers, agriculture workers, or workers in private households because these data are not collected by the Occupational Employment Statistics (OES) survey, the source of BLS wage data in the OOH.