Social

Employee Data

    FY 2022 FY 2023 FY 2024 FY 2025
Employees*1(employee) Men 28,150 22,041 24,104 24,149
Women 6,547 6,300 6,834 7,388
Employees by age*1(employee) Under age 30 4,931 4,362 4,457 4,337
Age 30 to age 50 14,988 11,225 12,749 11,512
Above age 50 14,778 12,754 13,732 15,688
Employees by employment status*1 Full-time employees 33,504 27,590 30,058 30,353
Temporary employees 1,193 751 880 1,184
Employees by Management Level and Gender*3 Junior Management Positions (Men) 2,526 2,406 2,310 3,168
Junior Management Positions (Women) 70 82 106 253
Senior Management Positions (Men) 791 829 794 1,125
Senior Management Positions (Women) 10 15 16 22
Number of hires(employees)*3 New graduates Men 354 310 312 275
New graduates Women 299 300 342 359
Experienced employees Men 12 20 33 31
Experienced employees Women 2 10 13 20
Turnover(employees) Men*3 602 638 1,015 2,044
Women*3 285 362 356 487
Number of Voluntary Resignations 878 947 896 1,395
Average years with the company*1(years)   15.9 17.2 15.2 15.0
paid holiday Average number of paid leave days taken (days) *1 13.8 14.0 13.7 14.4
Trends in the annual paid leave utilization rate (%) *4 58.3 60.2 61.2 63.2
Target annual paid leave utilization rate (%) *4 60.0 60.0 64.0 68.0
Ratio of female managers*5,6   2.8 3.1 3.8 4.8
Percentage of female section chiefs*5   11.3 14.0 16.6 18.1
Wages by Gender and Job Level *2,7 Average Wage(Men) 365,180 474,864 458,462 455,266
Average Wage(Women) 230,724 299,624 293,416 289,786
Gender wage gap: Average value (%) 63 63 64 64
Gender wage gap: median (%) *8       67
Gender-to-gender bonus gap: Average value (%) *8       62
Gender-to-gender bonus gap: median (%) *8       79
Persons taking maternity leave(employees)*2   208 192 189 204
Total number of employees eligible to take childcare leave(employees)*2 Men 482 446 396 389
Women 168 163 157 154
Persons taking childcare leave(employees) *2 Men 172 189 200 243
Women 156 149 157 178
Percentage of men taking paternity leave (%) *2   32.6 34.6 46.8 57.1
Percentage of employees who return to work after childcare leave(%)*2 Men 100.0 99.5 100.0 100.0
Women 97.5 99.4 99.0 98.0
Retention rate of employees who return to work after childcare leave(%)*2 Men 90.8 94.8 94.0 95.0
Women 91.9 92.9 93.0 93.0
Number of people taking caregiving leave (persons) *2 Men 6 10 18 12
Women 2 4 3 3
Emplyment of persons with disabilities*9 Number of persons with disabilities hired(empoyees) 12,577 12,375 12,920 13,724
Employment rate of persons with disabilities 2.33 2.34 2.47 2.36
Training hours per person, separated by gender*2 Men       436,514
Women       191,768
Training type Training hours *2 Group training (total hours)       107,219
e-learning (total time)       521,062
Total (total hours) 28,164 117,603 113,203 628,282
Human Capital Cost*2 Personnel Expenses (JPY) Salaries + Benefits   419,393 million 482,423 million 527,993 million
Investment in Talent Development and Training(JPY)   549,290 million 1,328,754 million 1,684,756 million
Investment per person in human resource development and training(JPY)     17,395 21,620

*1 NIPPON EXPRESS Holdings Co., Ltd., Nippon Express Co., Ltd.
*2 Nippon Express Co., Ltd.
*3 Prior to 2024, Nippon Express Co., Ltd.; in 2025, the seven major domestic group companies including Nippon Express Co., Ltd.
*4 Group companies in Japan
*5 Seven major group companies in Japan
*6 The percentage of female managers is calculated based on junior managers, middle managers, and top managers.
*7 There are no gender-based differences in personnel and wage systems.
*8 Data will be collected from fiscal year 2025 onwards.
*9 The number of employees and the employment rate are calculated in accordance with Japan's "Act on Promotion of Employment of Persons with Disabilities," and the target is the 13 affiliated companies that have received special treatment certification.

Safety Related Data

Occupational accident index (Nippon Express Co., Ltd.) *1

    FY 2022 FY 2023 FY 2024 FY 2025
Accident frequency rate*1 Nippon Express Co., Ltd. 2.14 1.71 1.61 2.23

*1 Frequency rate is an indicator that represents the proportion of occupational accidents that occur.
Number of casualties per 1 million total working hours = Number of casualties Total number of working hours × 1,000,000

Statistics on accidents as defined in Article 2 of the Automobile Accident Reporting Regulations (FY2025: Nippon Express Co., Ltd.)

Unit : no of transactions

Vehicle malfunction 42
Driving off the road 1
death or injury 1
Health-originating 5
Total 49
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