Thermal Cutter Helper
₱223,665 (PHP)/yr
₱107.53 (PHP)/hr
₱2,751 (PHP)/yr
The average thermal cutter helper gross salary in Philippines is ₱223,665 or an equivalent hourly rate of ₱108. In addition, they earn an average bonus of ₱2,751. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Philippines. An entry level thermal cutter helper (1-3 years of experience) earns an average salary of ₱174,877. On the other end, a senior level thermal cutter helper (8+ years of experience) earns an average salary of ₱266,447.
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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.
₱252,194 (PHP)
13 %
Based on our compensation data, the estimated salary potential for Thermal Cutter Helper will increase 13 % 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 PageThe Philippines, officially the Republic of the Philippines, is an archipelagic country in Southeast Asia. In the western Pacific Ocean, it consists of 7,641 islands, with a total area of 300,000 square kilometers, which are broadly categorized in three main geographical divisions from north to south: Luzon, Visayas, and Mindanao. The Philippines is bounded by the South China Sea to the west, the Philippine Sea to the east, and the Celebes Sea to the south. It shares maritime borders with Taiwan...
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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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