Presser Cotton Ginning
11 912 € (EUR)/yr
5,73 € (EUR)/hr
150 € (EUR)/yr
The average presser cotton ginning gross salary in Estonia is 11 912 € or an equivalent hourly rate of 6 €. In addition, they earn an average bonus of 150 €. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Estonia. An entry level presser cotton ginning (1-3 years of experience) earns an average salary of 10 108 €. On the other end, a senior level presser cotton ginning (8+ years of experience) earns an average salary of 14 129 €.
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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.
16 028 € (EUR)
35 %
Based on our compensation data, the estimated salary potential for Presser Cotton Ginning will increase 35 % 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 PageEstonia, officially the Republic of Estonia, is a country by the Baltic Sea in Europe. It is bordered to the north by the Gulf of Finland across from Finland, to the west by the sea across from Sweden, to the south by Latvia, and to the east by Lake Peipus and Russia. The territory of Estonia consists of the mainland, the larger islands of Saaremaa and Hiiumaa, and over 2,300 other islands and islets on the eastern coast of the Baltic Sea, covering a total area of 45,335 square kilometres (17,504...
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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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