Web Application Developer
Rp388.349.035 (IDR)/yr
Rp186.706,27 (IDR)/hr
Rp15.999.980 (IDR)/yr
The average web application developer gross salary in Surabaya, Indonesia is Rp388.349.035 or an equivalent hourly rate of Rp186.706. This is 12% lower (-Rp54.423.286) than the average web application developer salary in Indonesia. In addition, they earn an average bonus of Rp15.999.980. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Surabaya, Indonesia. An entry level web application developer (1-3 years of experience) earns an average salary of Rp276.888.745. On the other end, a senior level web application developer (8+ years of experience) earns an average salary of Rp448.910.282.
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Rp445.718.909 (IDR)
15 %
Based on our compensation data, the estimated salary potential for Web Application Developer will increase 15 % over 5 years.
This chart displays the highest level of education for:
Web Application Developer, the majority at 51% with bachelors.
Typical Field of Study: Web/Multimedia Management and Webmaster Training
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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