Dry Cleaner

¥2,278,040 (JPY)/yr

¥1,095.21 (JPY)/hr

¥30,070 (JPY)/yr

The average dry cleaner gross salary in Akita, Japan is ¥2,278,040 or an equivalent hourly rate of ¥1,095. This is 11% lower (-¥289,525) than the average dry cleaner salary in Japan. In addition, they earn an average bonus of ¥30,070. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Akita, Japan. An entry level dry cleaner (1-3 years of experience) earns an average salary of ¥1,865,758. On the other end, a senior level dry cleaner (8+ years of experience) earns an average salary of ¥2,665,796.

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ERI’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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¥2,429,533 (JPY)

7 %

Based on our compensation data, the estimated salary potential for Dry Cleaner will increase 7 % over 5 years.

This chart displays the highest level of education for:
Dry Cleaner, the majority at 100% with high schools.

Typical Field of Study: Apparel and Textile Marketing Management Training

See how education can impact your salary

Akita, Japan

The cost of living in Akita, Japan is 4% less than the average cost of living in Japan. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.

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Akita Prefecture (秋田県, Akita-ken) [a̠kʲita̠] is a prefecture of Japan located in the Tōhoku region of Honshu. Its population is estimated 915,691 (as of 1 August 2023) and its geographic area is 11,637 km2 (4,493 sq mi). Akita Prefecture is bordered by Aomori Prefecture to the north, Iwate Prefecture to the east, Miyagi Prefecture to the southeast, and Yamagata Prefecture to the south. Akita is the capital and largest city of Akita Prefecture. Other major cities include Yokote, Daisen, and Yurihonjō...

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Operates dry cleaning machine to clean garments, drapes, and other materials, utilizing knowledge of cleaning processes, fabrics, and colors. Sorts articles and places lot of sorted articles in drum of dry cleaning machine. Fastens cover and starts drum rotating. Turns or pushes valves, levers, and switches to admit cleaning solvent into drum. Adds liquid soap or chemicals to facilitate cleaning... process. Tends extractor that removes excess cleaning solvent from articles extractor operator. Tends tumbler that dries articles and removes odor of solvent from articles tumbler operator. Opens valves of dry cleaning machine to drain dirty solvent into filter tank. Adds chemicals to solvent to facilitate filtration, and starts electric pumps, forcing solvent through filters to screen lint, dirt, and other impurities. Pulls sludge box from bottom of tank to remove sludge. Starts electric pumps and turns valves to operate distilling system that reclaims dirty solvent. May operate dry cleaning machine that automatically extracts excess cleaning solvent from articles. May clean by hand articles that cannot be cleaned by machine because of amount of soil on article or delicacy of fabric dry cleaner, hand. May add chemicals to dry cleaning machine to render garments water repellant. May spot articles spotter ii. Read More

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Disclaimer

This page is a promotion for SalaryExpert’s Assessor Platform and is not intended for professional use.

Professionals should subscribe to SalaryExpert’s Assessor Platform.

ERI’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.

Learn About Our Products

SalaryExpert, powered by ERI, provides verified salary and cost of living data to the public with a comprehensive platform for evaluating compensation, career, relocation, and education decisions.
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