R Programmer salary in Kenya

Average Yearly Salary of R Programmer in Kenya is approximately 1,289,926 KES (8,212 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 R Programmer do?

An R programmer is a professional who specializes in programming using the R language. R is a statistical programming language widely used for data analysis, data visualization, and statistical modeling. R programmers are responsible for writing efficient and reliable code to solve complex data-related problems. They work closely with data analysts and scientists to develop algorithms, conduct statistical analyses, and create visualizations to present findings. R programmers are proficient in R programming language and have a solid understanding of statistical concepts. They are skilled in data manipulation, data visualization, and statistical modeling techniques. They are also familiar with various R packages and libraries that aid in data analysis and visualization. R programmers often work in industries such as finance, healthcare, marketing, and research, where data analysis plays a crucial role.

Skills: R programming, data analysis, statistical modeling, data visualization, data manipulation, R packages
Job industry: Technology

How much does R Programmer make?

Difference in salary year over year or average salary increase is approximately 3 %


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Salary comparison to National average

Is R Programmer a well paid job?

Yes, our data shows that R 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 R Programmer?

High salary for R Programmer would be somewhere between 1,418,919 KES and 1,870,393 KES. However this is an estimation based on Gaussian Distribution.

How much can you save working as R Programmer in Kenya?

Living in Kenya the approximate monthly expenses are: 240 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: 1,289,926 KES
Estimated Monthly Salary: 107,494 KES
Estimated Weekly Salary: 24,806 KES per week
Estimated Hourly Salary: 620 KES per hour
By working as R Programmer a person can save up to 444 USD per month or 5,332 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 Kenya, see costs of living in Kenya.

Salary comparison to region and neighbouring coutries

Country's neighbours are: Ethiopia, Somalia, South Sudan, Tanzania, Uganda..
To make it easier for comparison a conversion from local currency to USD has been made (conversion rates may vary).

Estimated Yearly Salary for R 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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