Process Engineer
₱654,210 (PHP)/yr
₱314.52 (PHP)/hr
₱20,935 (PHP)/yr
The average process engineer gross salary in Lipa City, Philippines is ₱654,210 or an equivalent hourly rate of ₱315. This is 12% lower (-₱91,413) than the average process engineer salary in Philippines. In addition, they earn an average bonus of ₱20,935. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Lipa City, Philippines. An entry level process engineer (1-3 years of experience) earns an average salary of ₱467,204. On the other end, a senior level process engineer (8+ years of experience) earns an average salary of ₱743,943.
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₱734,956 (PHP)
12 %
Based on our compensation data, the estimated salary potential for Process Engineer will increase 12 % over 5 years.
This chart displays the highest level of education for:
Process Engineer, the majority at 100% with bachelors.
Typical Field of Study: Manufacturing Engineering
See how education can impact your salary- Six Sigma Green Belt
- Six Sigma Black Belt
- Project Management Professional - PMP - Project Management Institute
The cost of living in Lipa City, Philippines is 1% less than the average cost of living in Philippines. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageLipa ([lɪˈpa]), officially the City of Lipa (Filipino: Lungsod ng Lipa), is a component city in the province of Batangas, Philippines. According to the 2024 census, it has a population of 387,392 people. It is the first city with a charter in the province and one of five cities in Batangas alongside Batangas City, Calaca, Santo Tomas, and Tanauan. It is located 78 kilometres (48 mi) south of Manila and is the most populous city of Batangas. The Southern Tagalog Arterial Road (STAR) and South Lu
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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