Software Engineer Programmer
Rp400.530.721 (IDR)/yr
Rp192.562,85 (IDR)/hr
Rp17.863.670 (IDR)/yr
The average software engineer programmer gross salary in Manado, Indonesia is Rp400.530.721 or an equivalent hourly rate of Rp192.563. This is 21% lower (-Rp107.066.644) than the average software engineer programmer salary in Indonesia. In addition, they earn an average bonus of Rp17.863.670. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Manado, Indonesia. An entry level software engineer programmer (1-3 years of experience) earns an average salary of Rp283.923.440. On the other end, a senior level software engineer programmer (8+ years of experience) earns an average salary of Rp462.863.781.
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Rp460.819.268 (IDR)
15 %
Based on our compensation data, the estimated salary potential for Software Engineer Programmer will increase 15 % over 5 years.
This chart displays the highest level of education for:
Software Engineer Programmer, the majority at 62% with bachelors.
Typical Field of Study: Computer Programming, Specific Applications
See how education can impact your salaryThe cost of living in Manado, Indonesia is 2% less 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 PageManado (Indonesian pronunciation: [maˈnado], Tombulu: Wenang) is the capital city of the Indonesian province of North Sulawesi. It is the second largest city in Sulawesi after Makassar, with the 2020 census giving a population of 451,916, and the official estimates for mid 2023 showing 458,582 inhabitants (229,982 males and 228,600 females), distributed over a land area of 157.26 km2. The Manado metropolitan area had a population of 1,377,815 as of mid 2023. The city is situated on the Bay of M
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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