View Statistical Table/Graph
| Statistics name | Population Census 2020 Population Census Detailed Sample Tabulation | |
|---|---|---|
| Table number | 6-2 | |
| Table title | Number of employees including Board member of company, etc. (Aged 15 and over) by Sex, Age (five-year groups), Labour force status and Occupation (medium groups) - Japan, Prefectures, 21 Major Cities, Ku-area of Tokyo and Shi with population of 500,000 or more |
| Dataset overview | ||
|---|---|---|
| Statistics name | Population Census | Detail |
| Dataset category0 | 2020 Population Census | |
| Dataset category1 | Detailed Sample Tabulation | |
| Table category1 | Labour force status, Industry, Occupation and Employment status | |
| Published date and time | 2022-12-27 14:00 |
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description
| SN | Table element | Description | ||
|---|---|---|---|---|
| 1/7 |
Tabulated variable
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1/1 | ||
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Sex
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| 3/7 |
Age
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| 4/7 |
Occupation
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70/70 | ||
| 5/7 |
Labour force status
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| 6/7 |
Areas with population of 500,000 or more
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99/99 | ||
| 7/7 |
Time
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1/1 | ||
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Age
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Occupation
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Labour force status
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Areas with population of 500,000 or more
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「」outline
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| URL | |
| Ministry (Division) in charge | |
| E-mail address | |
| Phone number |
- For details of each statistical survey, please refer to the homepage above.
- Information on relevant government statistics such as "Survey outline", "Survey results", "Attention on use", "Release schedule", and "Contact" are posted on the website of each ministry. Please use it before using the statistical tables.
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Number of employees including Board member of company, etc.
Total
Male
Female
Total
15--19 years old
20--24 years old
25--29 years old
30--34 years old
35--39 years old
40--44 years old
45--49 years old
50--54 years old
55--59 years old
60--64 years old
65--69 years old
70--74 years old
75--79 years old
80--84 years old
85--89 years old
90--94 years old
95 years old and over
(Recount) 15--64 years old
(Recount) 65 years old and over
(Recount) 75 years old and over
(Recount) 85 years old and over
(Recount) 20--69 years old
Total
Administrative and managerial workers
Management government officials
Officers of companies and organizations
Other administrative and managerial workers
Professional and engineering workers
Researchers
Engineers
Health care workers
Social welfare specialist professionals
Legal workers
Management, finance and insurance professionals
Teachers
Workers in religion
Authors, journalists, editors
Artists, designers, photographers, film operators
Musicians, stage designers
Other specialist professionals
Clerical workers
General clerical workers
Accountancy clerks
Production-related clerical workers
Sales clerks
Outdoor service workers
Transport and post clerical workers
Office appliance operators
Sales workers
Merchandise sales workers
Quasi-sales workers
Sales workers
Service workers
Domestic support service workers
Care service workers
Healthcare service workers
Domestic hygiene service workers
Food and drink preparatory workers
Customer service workers
Residential facilities, office buildings and other management personnel
Other service workers
Security workers
Security workers
Agriculture, forestry and fishery workers
Agriculture workers
Forestry workers
Fishery workers
Manufacturing process workers
Product manufacturing and processing workers (metal products)
Product manufacturing and processing workers (except metal products)
Machine assembly workers
Machine maintenance and repair workers
Product inspection workers
Machine inspection workers
Manufacturing-related and quasi-manufacturing workers
Transport and machine operation workers
Railway drivers
Motor vehicle drivers
Ship and aircraft operators
Other transport workers
Stationary and construction machinery operators
Construction and mining workers
Construction and civil engineering workers
Electric construction workers
Mine workers
Carrying, cleaning, packaging and related workers
Carrying workers
Cleaning workers
Packaging workers
Other carrying, cleaning, packaging and related workers
Workers not classifiable by occupation
Workers not classifiable by occupation
Total
Mostly worked
Worked besides doing housework
Worked besides attending school
Absent from work
Japan
Hokkaido
Sapporo-shi
Aomori-ken
Iwate-ken
Miyagi-ken
Sendai-shi
Akita-ken
Yamagata-ken
Fukushima-ken
Ibaraki-ken
Tochigi-ken
Utsunomiya-shi
Gumma-ken
Saitama-ken
Saitama-shi
Kawaguchi-shi
Chiba-ken
Chiba-shi
Funabashi-shi
Tokyo-to
Ku-area
Chiyoda-ku
Chuo-ku
Minato-ku
Shinjuku-ku
Bunkyo-ku
Taito-ku
Sumida-ku
Koto-ku
Shinagawa-ku
Meguro-ku
Ota-ku
Setagaya-ku
Shibuya-ku
Nakano-ku
Suginami-ku
Toshima-ku
Kita-ku
Arakawa-ku
Itabashi-ku
Nerima-ku
Adachi-ku
Katsushika-ku
Edogawa-ku
Hachioji-shi
Kanagawa-ken
Yokohama-shi
Kawasaki-shi
Sagamihara-shi
Niigata-ken
Niigata-shi
Toyama-ken
Ishikawa-ken
Fukui-ken
Yamanashi-ken
Nagano-ken
Gifu-ken
Shizuoka-ken
Shizuoka-shi
Hamamatsu-shi
Aichi-ken
Nagoya-shi
Mie-ken
Shiga-ken
Kyoto-fu
Kyoto-shi
Osaka-fu
Osaka-shi
Sakai-shi
Hyogo-ken
Kobe-shi
Himeji-shi
Nara-ken
Wakayama-ken
Tottori-ken
Shimane-ken
Okayama-ken
Okayama-shi
Hiroshima-ken
Hiroshima-shi
Yamaguchi-ken
Tokushima-ken
Kagawa-ken
Ehime-ken
Matsuyama-shi
Kochi-ken
Fukuoka-ken
Kitakyushu-shi
Fukuoka-shi
Saga-ken
Nagasaki-ken
Kumamoto-ken
Kumamoto-shi
Oita-ken
Miyazaki-ken
Kagoshima-ken
Kagoshima-shi
Okinawa-ken
2020
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