Research Assistant Real Estate salary in Kenya

Average Yearly Salary of Research Assistant Real Estate in Kenya is approximately 629,561 KES (4,004 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 Research Assistant Real Estate do?

A research assistant in real estate is responsible for providing support to researchers and analysts in the field of real estate. They assist in conducting market research, collecting data, analyzing trends, and preparing reports. This occupation involves gathering information on property values, rental rates, occupancy rates, and other relevant data to help make informed decisions regarding real estate investments and development projects. Research assistants also assist in identifying potential investment opportunities, evaluating risks, and monitoring industry news and developments.

Skills: Research assistant, Real estate, Market research, Data analysis, Property valuation, Investment analysis
Job industry: Real estate

How much does Research Assistant Real Estate make?

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


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Salary comparison to National average

Is Research Assistant Real Estate a well paid job?

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

What is considered a high salary for Research Assistant Real Estate?

High salary for Research Assistant Real Estate would be somewhere between 692,517 KES and 912,863 KES. However this is an estimation based on Gaussian Distribution.

How much can you save working as Research Assistant Real Estate 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: 629,561 KES
Estimated Monthly Salary: 52,463 KES
Estimated Weekly Salary: 12,107 KES per week
Estimated Hourly Salary: 303 KES per hour
By working as Research Assistant Real Estate a person can save up to 94 USD per month or 1,124 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 Research Assistant Real Estate

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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