Computer Client Server Programmer
RM140,420 (MYR)/yr
RM67.51 (MYR)/hr
RM5,575 (MYR)/yr
The average computer client server programmer gross salary in Kuala Lumpur, Malaysia is RM140,420 or an equivalent hourly rate of RM68. This is 6% higher (+RM8,023) than the average computer client server programmer salary in Malaysia. In addition, they earn an average bonus of RM5,575. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Kuala Lumpur, Malaysia. An entry level computer client server programmer (1-3 years of experience) earns an average salary of RM99,511. On the other end, a senior level computer client server programmer (8+ years of experience) earns an average salary of RM161,479.
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RM156,905 (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 Kuala Lumpur, Malaysia is 6% more 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 PageKuala Lumpur (KL), officially the Federal Territory of Kuala Lumpur, is the capital city and a federal territory of Malaysia. It is the most populous city in the country, covering an area of 243 km2 (94 sq mi) with a population of 2,075,600 as of 2024. Greater Kuala Lumpur, which itself includes the Klang Valley, is an urban agglomeration of 8.8 million people as of 2024. It is among the fastest growing metropolitan regions in Southeast Asia, in terms of both population and economic development.
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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