Coordinator Minimum Data Set
¥165,243 (CNY)/yr
¥79.44 (CNY)/hr
¥2,429 (CNY)/yr
The average coordinator minimum data set gross salary in Lhasa, China is ¥165,243 or an equivalent hourly rate of ¥79. This is 17% lower (-¥34,859) than the average coordinator minimum data set salary in China. In addition, they earn an average bonus of ¥2,429. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Lhasa, China. An entry level coordinator minimum data set (1-3 years of experience) earns an average salary of ¥120,132. On the other end, a senior level coordinator minimum data set (8+ years of experience) earns an average salary of ¥188,153.
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¥196,204 (CNY)
19 %
Based on our compensation data, the estimated salary potential for Coordinator Minimum Data Set will increase 19 % over 5 years.
This chart displays the highest level of education for:
Coordinator Minimum Data Set, the majority at 100% with bachelors.
Typical Field of Study: Health/Health Care Administration/Management
See how education can impact your salaryThe cost of living in Lhasa, China is 1% less than the average cost of living in China. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageLhasa, officially the Chengguan District of Lhasa City, is the inner urban district of Lhasa City, Tibet Autonomous Region, Southwestern China. Lhasa is the second most populous urban area on the Tibetan Plateau after Xining and, at an altitude of 3,656 metres (11,990 ft), Lhasa is one of the highest cities in the world. The city has been the religious and administrative capital of Tibet since the mid-17th century. It contains many culturally significant Tibetan Buddhist sites such as the Potala
Sourced from WikipediaERI's compensation data are based on salary surveys conducted and researched by ERI. Cost of labor data in the Assessor Series are based on actual housing sales data from commercially available sources, plus rental rates, gasoline prices, consumables, medical care premium costs, property taxes, effective income tax rates, etc.
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