Data Journalist salary in Brunei

Average Yearly Salary of Data Journalist in Brunei is approximately 30,474 BND (30,583 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 Journalist do?

A data journalist is a professional who combines the skills of a journalist with data analysis and visualization techniques to tell stories through data. They collect, analyze, and interpret large amounts of data from various sources to uncover trends, patterns, and insights. Data journalists are responsible for finding newsworthy stories within data sets, creating compelling visualizations, and presenting complex information in a clear and accessible manner. Their work involves conducting research, interviewing experts, and using statistical tools to analyze data. They use their storytelling abilities to communicate their findings through articles, reports, infographics, and interactive visualizations. Data journalists often work in news organizations, media outlets, or as freelance professionals.

Skills: data journalism, data analysis, data visualization, storytelling, research, journalism
Job industry: Media

How much does Data Journalist make?

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


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Salary comparison to National average

Is Data Journalist a well paid job?

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

What is considered a high salary for Data Journalist?

High salary for Data Journalist would be somewhere between 33,521 BND and 44,187 BND. However this is an estimation based on Gaussian Distribution.

How much can you save working as Data Journalist in Brunei?

Living in Brunei the approximate monthly expenses are: 1,256 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: 30,474 BND
Estimated Monthly Salary: 2,540 BND
Estimated Weekly Salary: 586 BND per week
Estimated Hourly Salary: 15 BND per hour
By working as Data Journalist a person can save up to 1,292 USD per month or 15,506 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 Brunei, see costs of living in Brunei.

Salary comparison to region and neighbouring coutries

Country's neighbours are: Malaysia, Indonesia.
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 Journalist

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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