Real Estate Professor
฿868,876 (THB)/yr
฿417.73 (THB)/hr
฿25,024 (THB)/yr
The average real estate professor gross salary in Tak, Thailand is ฿868,876 or an equivalent hourly rate of ฿418. This is 4% lower (-฿32,489) than the average real estate professor salary in Thailand. In addition, they earn an average bonus of ฿25,024. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Tak, Thailand. An entry level real estate professor (1-3 years of experience) earns an average salary of ฿616,880. On the other end, a senior level real estate professor (8+ years of experience) earns an average salary of ฿1,085,104.
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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.
฿989,786 (THB)
14 %
Based on our compensation data, the estimated salary potential for Real Estate Professor will increase 14 % over 5 years.
Education data not available for this job
The cost of living in Tak, Thailand is 0% more than the average cost of living in Thailand. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageTak (Thai: ตาก, pronounced [tàːk]) is a town (thesaban mueang) in north-west Thailand, capital of the Tak Province and the Tak district. As of 2005 the town had a population of 19,900 and an area of 7.27 km2. It covers the tambon Rahaeng, Nong Luang, Chiang Ngoen, and Hua Diat. It is on the Ping River, 418 km north-north-west of Bangkok.
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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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