IT Computer Programmer Lead
Rp478.558.338 (IDR)/yr
Rp230.076,12 (IDR)/hr
Rp22.444.386 (IDR)/yr
The average it computer programmer lead gross salary in Surabaya, Indonesia is Rp478.558.338 or an equivalent hourly rate of Rp230.076. This is 12% lower (-Rp66.775.551) than the average it computer programmer lead salary in Indonesia. In addition, they earn an average bonus of Rp22.444.386. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Surabaya, Indonesia. An entry level it computer programmer lead (1-3 years of experience) earns an average salary of Rp337.755.506. On the other end, a senior level it computer programmer lead (8+ years of experience) earns an average salary of Rp552.904.584.
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Rp550.591.732 (IDR)
15 %
Based on our compensation data, the estimated salary potential for IT Computer Programmer Lead will increase 15 % over 5 years.
This chart displays the highest level of education for:
IT Computer Programmer Lead, the majority at 53% with bachelors.
Typical Field of Study: Computer Programming, Specific Applications
See how education can impact your salaryThe cost of living in Surabaya, Indonesia is 3% more than the average cost of living in Indonesia. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageSurabaya is the capital and largest city of East Java province and the second-largest city in Indonesia, after Jakarta. Located on the northeastern corner of Java island, on the Madura Strait, it is one of the earliest port cities in Southeast Asia. According to the National Development Planning Agency, Surabaya is one of the four main central cities of Indonesia, alongside Jakarta, Medan, and Makassar. The city covers a land area of 335.93 km2, and had a population of 2,874,314 within its city
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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