Developer Python
₩93,012,183 (KRW)/yr
₩44,717.40 (KRW)/hr
₩4,055,331 (KRW)/yr
The average developer python gross salary in Ulsan, South Korea is ₩93,012,183 or an equivalent hourly rate of ₩44,717. This is 7% higher (+₩6,343,369) than the average developer python salary in South Korea. In addition, they earn an average bonus of ₩4,055,331. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Ulsan, South Korea. An entry level developer python (1-3 years of experience) earns an average salary of ₩65,342,421. On the other end, a senior level developer python (8+ years of experience) earns an average salary of ₩106,716,327.
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₩107,937,624 (KRW)
16 %
Based on our compensation data, the estimated salary potential for Developer Python will increase 16 % over 5 years.
This chart displays the highest level of education for:
Developer Python, the majority at 100% with bachelors.
Typical Field of Study: Computer Programming, Specific Applications
See how education can impact your salaryThe cost of living in Ulsan, South Korea is 2% more than the average cost of living in South Korea. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageUlsan (Korean: 울산; Korean pronunciation: [uɭ.s͈an]), officially the Ulsan Metropolitan City, is South Korea's seventh-largest metropolitan city and the eighth-largest city overall, with a population of over 1.1 million inhabitants. It is located in the south-east of the country, neighboring Busan to the south and facing Gyeongju to the north. Ulsan is the industrial powerhouse of South Korea, forming the heart of the Ulsan Industrial District. It has the world's largest automobile assembly plant
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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