Computer Client Server Programmer
RM127,413 (MYR)/yr
RM61.26 (MYR)/hr
RM5,058 (MYR)/yr
The average computer client server programmer gross salary in Johor Baharu, Malaysia is RM127,413 or an equivalent hourly rate of RM61. This is 4% lower (-RM4,992) than the average computer client server programmer salary in Malaysia. In addition, they earn an average bonus of RM5,058. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Johor Baharu, Malaysia. An entry level computer client server programmer (1-3 years of experience) earns an average salary of RM90,293. On the other end, a senior level computer client server programmer (8+ years of experience) earns an average salary of RM146,522.
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RM142,371 (MYR)
12 %
Based on our compensation data, the estimated salary potential for Computer Client Server Programmer will increase 12 % over 5 years.
This chart displays the highest level of education for:
Computer Client Server Programmer, the majority at 67% with associates.
Typical Field of Study: Computer Programming, Specific Applications
See how education can impact your salaryThe cost of living in Johor Baharu, Malaysia is 2% less than the average cost of living in Malaysia. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageJohor Bahru (JB) is the capital city of the Malaysian state of Johor. It is the core city of Johor Bahru District, Malaysia's second-largest district by population and economy. Covering an area of 373.18 km2, Johor Bahru had a population of 858,118 people in 2020, making it the nation's largest state capital city by population. It is located at the southern end of the Malay Peninsula, bordering the city-state of Singapore. As a major financial and business centre in Malaysia, Johor Bahru is Mala
Sourced from WikipediaERI'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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