Data Entry Associate salary in Kenya

Average Yearly Salary of Data Entry Associate in Kenya is approximately 590,063 KES (3,729 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 Data Entry Associate do?

A data entry associate is responsible for accurately inputting and maintaining various types of data into computer systems or databases. They are required to enter data from different sources such as paper documents, electronic files, or audio recordings. Attention to detail is crucial in this role to ensure the accuracy and integrity of the entered data. Data entry associates may also be responsible for verifying and correcting any errors or inconsistencies in the data. They should possess strong typing skills, good knowledge of basic computer applications, and the ability to work efficiently under tight deadlines. Other duties may include organizing and sorting data, generating reports, and ensuring data security and confidentiality.

Skills: data entry, data management, accuracy, attention to detail, computer skills, time management
Job industry: Administration

How much does Data Entry Associate make?

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


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Salary comparison to National average

Is Data Entry Associate a well paid job?

No, our data shows that Data Entry Associate is typically not a well-paid job. The salary varies based on experience. Meaning that even though Data Entry Associate might be a low paying job, with experience the salary might increase to satisfactory levels.

What is considered a high salary for Data Entry Associate?

High salary for Data Entry Associate would be somewhere between 649,069 KES and 855,591 KES. However this is an estimation based on Gaussian Distribution.

How much can you save working as Data Entry Associate 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: 590,063 KES
Estimated Monthly Salary: 49,172 KES
Estimated Weekly Salary: 11,347 KES per week
Estimated Hourly Salary: 284 KES per hour
By working as Data Entry Associate a person can save up to 71 USD per month or 849 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 Data Entry Associate

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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