Human Rights and Human Resources

Human Resources Data

MOL Human Resources Data (as of March 31, 2020)

MOL Human Resources Data

Employees (Non-consolidated) (as of March 31, 2021)

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    FY2018 FY2019 FY2020
Number of employees(*1)   Land Sea Land Sea Land Sea
Male 490 307 524 306 545 317
Female 221 8 237 11 249 8
Total 711 315 761 317 794 325
Number of employees by position(*2) General
managers
Male 31 9 37 10 42 9
Female 2 0 1 0 1 0
Subtotal 33 9 38 10 43 9
Managerial Positions
(exclu.General managers)
Senior managers Male 178 104 190 122 195 132
Female 2 0 5 0 5 0
Subtotal 180 104 195 122 200 132
Managers Male 139 99 130 92 128 87
Female 19 1 19 1 21 1
Subtotal 158 100 149 93 149 88
Non-managerial positons
(Candidates for next managerial positions)(*3)
Male 287
(138)
289
(117)
297
(148)
279
(122)
296
(167)
285
(134)
Female 227
(37)
12
(2)
240
(46)
13
(2)
252
(54)
11
(3)
Subtotal 514
(175)
301
(119)
537
(194)
292
(124)
548
(221)
296
(137)
Total 885 514 919 517 940 525
Ratio of females in managerial positions(*2)   6.2% 0.0% 6.5% 0.4% 6.9% 0.4%
Number of newly promoted managers   24 13 17 14 20 9
Number of new graduates hired Male 20 24 22 18 17 23
Female 9 0 8 2 13 0
Total 29 24 30 20 30 23
Mid-carrier hires Male 13 8 5
Female 18 15 0
Total 31 23 5
Ratio of employees with disabilities   2.26% 2.24% 2.21%
Average years of continuous service(*1)   15.3 11.1 15.0 11.6 14.4 12.2
Male 15.0 15.4 13.9
Female 17.0 15.8 14.6
Job turnover rate within 3 years of continuous service(*1)(%)
Calculation method: (New graduate hires resigning within 3 years of joining the company) / (New graduate hires over past 3 years)
3.7 7.6 4.7 10.1 4.5% 7.4%
Number of employees retiring (Number of voluntary retirement) Male 8
(4)
20
(15)
15
(6)
16
(14)
18
(8)
11
(6)
Female 9
(6)
1
(1)
10
(3)
2
(2)
15
(2)
1
(1)
Total 17
(10)
21
(16)
25
(9)
18
(16)
33
(10)
12
(7)
Labor union participation rate 60.4% 88.7% 58.3% 88.3% 57.9% 88.7%
Average monthly overtime hours 17.44 16.83 23.8

(*1) Excludes expatriate employees, loaned employees, contract employees, and part-timers, etc.

(*2) Excludes loaned employees, contract employees, and part-timers, etc.

(*3) Senior staff

Directors, Auditors, and Executive Officers (Non-consolidated)

    FY2018 FY2019 FY2020
Number of Directors (ratio) Male 8
(88.9%)
7
(87.5%)
7
(87.5%)
Female 1
(11.1%)
1
(12.5%)
1
(12.5%)
Total 9 8 8
Number of Audit & Supervisory Board Members (ratio) Male 4
(100%)
3
(75%)
3
(75%)
Female 0 1
(25%)
1
(25%)
Total 4 4 4
Number of Executive Officers (ratio) Male 24
(96%)
22
(91.7%)
23
(95.8%)
Female 1
(4%)
2
(8.3%)
1
(4.2%)
Total 25 24 24
Total Number of Directors, Auditors and Executive Officers Male 30
(93.7%)
27
(87.1%)
28
(90.3%)
Female 2
(6.3%)
4
(12.9%)
3
(9.7%)
Total 32 31 31

(*)Number as of the end of June each year

Training (Non-consolidated)

  FY2018 FY2019 FY2020
  Land Sea Land Sea Land Sea
Cost of Training per employee (Unit:Yen) 103,000 123,301 105,000 120,166 98,000 96,066
Average Training days per employee (Unit:Days per year) 3 8 2 7 2 4

(*)Excludes the cost of in-house instructors.

Employee Support Systems (Non-consolidated)

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      FY2018 FY2019 FY2020
Annual leave(*4) Days taken 13.6 14.3 12.8
Usage rate 53.6% 57.1% 47.6%
Maternity leave
(pre- and post-childbirth)(*5)
Number of employees 11 13 10
Usage rate 100.0% 100.0% 100.0%
Paternity leave(*6) Number of employees 15 24 22
Usage rate 100% 100% 100%
Child-care leave(*7) Number of employees Male 8 12 17
Female 16 21 20
Usage rate Male 28% 26% 46%
Female 100% 100% 100%
Return rate Male 100% 100% 100%
Female 100% 100% 100%
Average number of days to take Childcare leave for male(*7)   57 49 65
Short-time work shift to allow for child-care Number of employees 7 7 7
Working mothers(*5) Number of employees 40 48 54
Retirement reemployment system after spouse transfer Number of employees 2 1 0
Nursing care leave Number of employees 0 1 1

(*4) Excludes personnel working onboard / including summer vacation

(*5) Excludes personnel working onboard, loaned employees, contract employees, and part-timers, etc.

(*6) Excludes personnel working on board,loand employees,contract employees, and part-timers etc.

(*7) Excludes loaned employees

Industrial Accidents (Non-consolidated)

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  FY2018 FY2019 FY2020
    Land Sea Land Sea Land Sea
Industrial accidents(*8)
(excludes commuting accidents)
Number of cases 0 1 1 0 0 1
Number of fatal industrial accidents Number of cases 0 0 0 0 0 0
Industrial accident leave Number of days 0 0 4 0 0 2

(*8)Number of cases of Land is only for the head office

Number of cases of violations of the Labor Standards Act (Non-considated)

  FY2018 FY2019 FY2020
Number of cases of violations of the Labor Standards Act Number of cases 0 0 0

(*)Number of cases of judical action resulting from violation of the Labor Standard Act

Education and Training for cultivating a safety culture (Number of Participants)

  Target FY2018 FY2019 FY2020
Operational Safety Workshops Executives and employees of MOL group - - 926
Safety Campaign Executives and employees of MOL group/MOL group operating vessels (Only number of participants of land employee is counted.) 412 367 576
Safety Conference MOL seaferers in vacation 641 769 872
E-learning of Safety Culture Executives and employees of MOL group 1,845 2,157 2,392

(*)Only training with a large number of subject is listed.
(*)The total number of participants is listed.

Number of MOL Group Employees

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Number of Employees (persons) FY2018 FY2019 FY2020
Dry Bulk Business 274(26) 276(45) 295(47)
Energy Transport Business 985(84) 826(71) 807(87)
Product Transport Business 4,711(483) 3,719(340) 4,431(691)
Containerships only 3,653(349) 1,035(138) 3,391(549)
Associated Businesses 2,034(1,565) 2,096(1,653) 2,058(1,462)
Others 618(47) 651(46) 642(87)
Corporate/Eliminate 319(85) 328(84) 338(89)
Total 8,941(2,290) 8,931(2,377) 8,571(2,463)

(1) The number of employees includes the entire labor force, and the approximate average number of temporary employees is indicated in parentheses.

(2) The employees indicated as company-wide (common) belong to administrative departments, which cannot be classified in any specific segment.

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