Computer Client Server Programmer
Q214,758 (GTQ)/yr
Q103.25 (GTQ)/hr
Q8,526 (GTQ)/yr
The average computer client server programmer gross salary in Guatemala City, Guatemala is Q214,758 or an equivalent hourly rate of Q103. This is 5% higher (+Q9,417) than the average computer client server programmer salary in Guatemala. In addition, they earn an average bonus of Q8,526. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Guatemala City, Guatemala. An entry level computer client server programmer (1-3 years of experience) earns an average salary of Q153,761. On the other end, a senior level computer client server programmer (8+ years of experience) earns an average salary of Q248,635.
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Q219,108 (GTQ)
2 %
Based on our compensation data, the estimated salary potential for Computer Client Server Programmer will increase 2 % over 5 years.
This chart displays the highest level of education for:
Computer Client Server Programmer, the majority at 67% with associates.
Typical Field of Study: Computer Programming, Specific Applications
See how education can impact your salaryThe cost of living in Guatemala City, Guatemala is 4% more than the average cost of living in Guatemala. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageGuatemala City (Spanish: Ciudad de Guatemala), also known colloquially by the nickname Guate, is the national capital and largest city of the Republic of Guatemala. It serves as the municipal capital of the surrounding Guatemala Department. Its metropolitan area is also the largest in Central America. The city is located in a mountain valley called Valle de la Ermita (English: Hermitage Valley) in the south-central part of the country. Guatemala City is the site of the native Mayan city of Kamin
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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