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Traditionally a sheet of paper with the data arranged in tabular format, a timesheet is now often a digital document or spreadsheet. The time cards stamped by time clocks can serve as a timesheet or provide the data to fill one. These, too, are now often digital. Timesheets came into use in the 19th century as time books.
Semi-monthly — 18.0% — Twenty-four pay periods per year with two pay dates per month. Compensation is commonly paid on either the 1st and the 15th day of the month or the 15th and the last day of the month and consists of 86.67 hours per pay period. Monthly — 4.4% — Twelve pay periods per year with a monthly payment date.
Like 8 hours a day for 5 days a week, this plan works to 80-hours in a two-week pay-period. Since employees work on nine days per cycle, this plan is also referred to as 9/80 . The benefit to working an extra hour a day gives you a normal 2-day weekend followed by a long 3-day weekend the next.
Today the average hours worked in the U.S. is around 33, [21] with the average man employed full-time for 8.4 hours per work day, and the average woman employed full-time for 7.9 hours per work day. [22] The front runners for lowest average weekly work hours are the Netherlands with 27 hours, [23] and France with 30 hours. [24]
Human-hours worked per week in the United States. Labor is supply, money is demand.. A man-hour or human-hour is the amount of work performed by the average worker in one hour. [1] [2] It is used for estimation of the total amount of uninterrupted labor required to perform a task.
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This format is illustrated in the handwritten spreadsheet sample. For labor, the estimator should, "Determine basic production rates and multiply them by the units of work to determine total hours for the work." [28] and then multiply the hours by the per hour average labor cost. [29]
The Microsoft xls file format which is the default file format used in versions prior to 2007 had a capacity limit of 65,536 rows by 256 columns (2 16 and 2 8 respectively). [71] This presents a problem for people using larger datasets, and can result in data loss.