Loader Machine
Rp195.366.265 (IDR)/yr
Rp93.926,09 (IDR)/hr
Rp3.536.129 (IDR)/yr
The average loader machine gross salary in Indonesia is Rp195.366.265 or an equivalent hourly rate of Rp93.926. In addition, they earn an average bonus of Rp3.536.129. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Indonesia. An entry level loader machine (1-3 years of experience) earns an average salary of Rp146.138.004. On the other end, a senior level loader machine (8+ years of experience) earns an average salary of Rp240.946.545.
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ERI’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.
Rp225.692.561 (IDR)
16 %
Based on our compensation data, the estimated salary potential for Loader Machine will increase 16 % over 5 years.
Education data not available for this job
Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageIndonesia, officially the Republic of Indonesia, is a country in Southeast Asia and Oceania between the Indian and Pacific oceans. It consists of over 17,000 islands, including Sumatra, Java, Sulawesi, and parts of Borneo and New Guinea. Indonesia is the world's largest archipelagic state and the 14th-largest country by area, at 1,904,569 square kilometres (735,358 square miles). With over 279 million people, Indonesia is the world's fourth-most-populous country and the most populous Muslim-majority...
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This page is a promotion for SalaryExpert’s Assessor Platform and is not intended for professional use.
Professionals should subscribe to SalaryExpert’s Assessor Platform.
ERI’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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