Painting Machine Operator
฿294,560 (THB)/yr
฿141.62 (THB)/hr
฿3,859 (THB)/yr
The average painting machine operator gross salary in Thailand is ฿294,560 or an equivalent hourly rate of ฿142. In addition, they earn an average bonus of ฿3,859. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Thailand. An entry level painting machine operator (1-3 years of experience) earns an average salary of ฿227,236. On the other end, a senior level painting machine operator (8+ years of experience) earns an average salary of ฿353,379.
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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.
฿335,550 (THB)
14 %
Based on our compensation data, the estimated salary potential for Painting Machine Operator will increase 14 % 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 PageThailand, officially the Kingdom of Thailand and historically known as Siam (the official name until 1939), is a country in Southeast Asia on the Indochinese Peninsula. With a population of almost 70 million, it spans 513,120 square kilometres (198,120 sq mi). Thailand is bordered to the northwest by Myanmar, to the northeast and east by Laos, to the southeast by Cambodia, to the south by the Gulf of Thailand and Malaysia, and to the southwest by the Andaman Sea; it also shares maritime borders with...
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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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