Gis Programmer salary in Thailand

Average Yearly Salary of Gis Programmer in Thailand is approximately 378,498 THB (9,492 USD). Data is for 2025 and indicates a pre-tax value. The salary itself depends on multiple factors such as seniority, job performance, certifications, experience or any other bonuses. The value indicated is an average amount based on records we have in database. Real values may vary. The data is for orientational purposes.

What does Gis Programmer do?

A GIS (Geographic Information System) programmer is responsible for designing, developing, and maintaining software applications that utilize geospatial data. They work with GIS technology to create tools and systems that allow users to analyze, visualize, and manipulate geographical information. A GIS programmer combines their programming skills with knowledge of geospatial concepts to build applications that solve specific spatial problems or enhance existing GIS platforms. The primary tasks of a GIS programmer include coding and scripting to develop GIS applications, integrating data from various sources, creating custom tools and plugins, and optimizing performance. They also collaborate with GIS analysts and other stakeholders to understand requirements and ensure that the software meets user needs.

Skills: GIS programmer, Geospatial technology, Software development, Data integration, Spatial analysis, Custom tools
Job industry: Technology

How much does Gis Programmer make?

Difference in salary year over year or average salary increase is approximately 4 %


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Salary comparison to National average

Is Gis Programmer a well paid job?

Yes, our data shows that Gis Programmer is a well paid job. With years and experience the salary might increase even further, resulting in higher satisfaction.

What is considered a high salary for Gis Programmer?

High salary for Gis Programmer would be somewhere between 416,348 THB and 548,822 THB. However this is an estimation based on Gaussian Distribution.

How much can you save working as Gis Programmer in Thailand?

Living in Thailand the approximate monthly expenses are: 289 USD. This amount covers basic needs such as food, housing, clothing, healthcare and education costs for a single person. No luxury expenses such as traveling, leisure, hobbies are included in the estimation.

Estimated Yearly Salary: 378,498 THB
Estimated Monthly Salary: 31,542 THB
Estimated Weekly Salary: 7,279 THB per week
Estimated Hourly Salary: 182 THB per hour
By working as Gis Programmer a person can save up to 502 USD per month or 6,022 USD yearly. Values are pre-tax.

NOTE: These values are estimates and are averaged for the whole country. Furthermore the value is likely exaggerated as no other expenses are taken into account in the projection. Unessential expenses are very subjective and are difficult to assess. Most likely the previously estimated number is significantly lower for majority of people. Expenses in different cities across the country may vary. Above values accuracy is low and is based on limited set of data obtained.

For more information regarding expenses in Thailand, see costs of living in Thailand.

Salary comparison to region and neighbouring coutries

Country's neighbours are: Myanmar, Laos, Cambodia, Malaysia.
To make it easier for comparison a conversion from local currency to USD has been made (conversion rates may vary).

Estimated Yearly Salary for Gis Programmer

Last revision of data: 2025-01-04

Salary increase per years of experience

Based on data available the salary increase per years of experience is as following

0 years (beginner) equals base salary

1 to 5 years of experience yields +12% salary increase

6 to 10 years of experience yields +25% salary increase

11 to 15 years of experience yields +16% salary increase

16 to 25 years of experience yields +9% salary increase

more than 25 years of experience yields +10% salary increase

NOTE: Details based on limited set of data. Percentages may vary. The salary increase over years of experience can vary widely based on factors such as job industry, job role, location, company size, and individual performance. To gain even larger increase in salary one is advised to switch jobs and / or employer.

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Data as of 2025

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