Data Capturer salary in China

Average Yearly Salary of Data Capturer in China is approximately 84,729 CNY (10,569 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 Capturer do?

A data capturer is responsible for inputting, organizing, and maintaining accurate information into computer systems or databases. They typically work with various types of data, such as customer details, financial records, inventory lists, or research findings. The occupation requires strong attention to detail, as data capturers must ensure that all information entered is correct and complete. Data capturers often use specialized software or tools to input data efficiently and accurately. They may also need to review and verify data for errors or inconsistencies, making corrections as necessary. Additionally, they may be responsible for organizing and categorizing data, creating reports or summaries, and ensuring data security and confidentiality.

Skills: Data entry, Data management, Accuracy, Attention to detail, Computer skills, Organization
Job industry: Administration

How much does Data Capturer 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 Capturer a well paid job?

Yes, our data show that Data Capturer is an averagely well paid job that still allows for some yearly savings. With years and experience the salary might increase even further, resulting in higher satisfaction.

What is considered a high salary for Data Capturer?

High salary for Data Capturer would be somewhere between 93,202 CNY and 122,857 CNY. However this is an estimation based on Gaussian Distribution.

How much can you save working as Data Capturer in China?

Living in China the approximate monthly expenses are: 514 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: 84,729 CNY
Estimated Monthly Salary: 7,061 CNY
Estimated Weekly Salary: 1,629 CNY per week
Estimated Hourly Salary: 41 CNY per hour
By working as Data Capturer a person can save up to 367 USD per month or 4,401 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 China, see costs of living in China.

Salary comparison to region and neighbouring coutries

Country's neighbours are: Russia, Mongolia, Kazakhstan, Kyrgyzstan, Tajikistan, Afghanistan, Pakistan, India, Nepal, Bhutan, Myanmar (Burma), Laos, Vietnam, North Korea.
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 Capturer

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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