Presser Cotton Ginning
36 608 € (EUR)/yr
17,60 € (EUR)/hr
461 € (EUR)/yr
The average presser cotton ginning gross salary in Luxembourg is 36 608 € or an equivalent hourly rate of 18 €. In addition, they earn an average bonus of 461 €. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Luxembourg. An entry level presser cotton ginning (1-3 years of experience) earns an average salary of 30 846 €. On the other end, a senior level presser cotton ginning (8+ years of experience) earns an average salary of 43 387 €.
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ERI’s compensation data are based on salary surveys conducted and researched by ERI. Cost of labor data in the Assessor Series are based on actual housing sales data from commercially available sources, plus rental rates, gasoline prices, consumables, medical care premium costs, property taxes, effective income tax rates, etc.
39 882 € (EUR)
9 %
Based on our compensation data, the estimated salary potential for Presser Cotton Ginning will increase 9 % over 5 years.
Education data not available for this job
Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageLuxembourg ( LUK-səm-burg; Luxembourgish: Lëtzebuerg [ˈlətsəbuəɕ] ; German: Luxemburg [ˈlʊksm̩bʊʁk] ; French: Luxembourg [lyksɑ̃buʁ] ), officially the Grand Duchy of Luxembourg, is a small landlocked country in Western Europe. It is bordered by Belgium to the west and north, Germany to the east, and France to the south. Its capital and most populous city, Luxembourg, is one of the four institutional seats of the European Union (together with Brussels, Frankfurt, and Strasbourg) and the seat of several...
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This page is a promotion for SalaryExpert’s Assessor Platform and is not intended for professional use.
Professionals should subscribe to SalaryExpert’s Assessor Platform.
ERI’s compensation data are based on salary surveys conducted and researched by ERI. Cost of labor data in the Assessor Series are based on actual housing sales data from commercially available sources, plus rental rates, gasoline prices, consumables, medical care premium costs, property taxes, effective income tax rates, etc.
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