SUSTAINABILITY DATABASE

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JAPANESE

We introduce the sustainability database, which includes information on the environment, human capital, work-life balance, and governance of JIA.

NEWS

2025.05.29

We have registered "Human Capital Data, Work-Life Balance Data, and Governance Data" for the fiscal year ending December 2024.

2025.03.31

We have registered "Environmental Data/Energy consumption and GHG emissions data" for the fiscal year ending December 2024.

Environmental Data

Energy consumption and GHG emissions data

Item Breakdown Unit FY2021
Ended Dec.		 FY2022
Ended Dec.		 FY2023
Ended Dec.		 FY2024
Ended Dec.
Energy consumption Gasoline consumption ℓ 6,209 6,211 8,249 9,028
Electricity consumption kWh 135,489 141,038 149,107 156,047
Average number of employees Average at end of quarter Person 150.0 154.0 160.8 180.8
GHG emissions Scope1,2 Total t-co2 74.6 75.8 84.5 89.0
Per Person
Scope1+2 Total		 t-co2 0.50 0.49 0.53 0.49
Scope1 t-co2 14.3 14.8 19.8 20.7
Scope2 t-co2 60.2 61.0 64.7 68.3
Scope1+2+3 Total t-co2 - - - 8,249.5
Per Person
Scope1+2+3 Total		 t-co2 - - - 45.6
Scope3 t-co2 - - - 8,160.5
Products and services purchased
(3-1)		 t-co2 - - - 8,037,7
Acquisition of fixed assets
(3-2)		 t-co2 - - - 55.3
Business trip
(3-6)		 t-co2 - - - 23.6
Employer commuting
(3-7)		 t-co2 - - - 43.9
(Reference) Green purchasing ratio (office supplies, etc.) % 55.3 58.4 72.9 72.4
  • Note: [Subject corporation] Both Scope 1 and 2 are Japan Investment Adviser Co., Ltd. and JP Lease Products & Services Co., Ltd.
  • Note: [calculation method] Both Scope 1 and 2 are calculated based on the "Basic Guidelines for Calculating Greenhouse Gas Emissions through Supply Chains" formulated by the Ministry of Economy, Trade and Industry and the Ministry of the Environment. Emission intensity is calculated using the "Emission Intensity Database for Calculating Greenhouse Gas Emissions of Organizations through Supply Chains".
  • Note: [Scope 1 data] Greenhouse gas (GHG) emissions from business activities, mainly from gasoline consumption..
  • Note: [Scope 2 data] CO2 emissions from business activities, mainly from purchased electricity Greenhouse gas (GHG) emissions
  • Note: [Scope 2 emission factor] Calculated based on the location standard using the national average emission factor of the "List of Emission Factors by Electric Utility" disclosed by the Ministry of the Environment for each fiscal year. (However, the market standard is also the same value.)
  • Note: [Scope -(3-1) emission factor] Emission intensity is calculated using the "Emission Intensity Database for Calculating Greenhouse Gas Emissions of Organizations through Supply Chains". In addition, the "input-output table-based" and "value-based" calculation methods are used.
  • Note: [Scope -(3-6) emission factor] Emission intensity is calculated using "Emissions intensity per employee" in the "Emission Intensity Database for Calculating Greenhouse Gas Emissions of Organizations through Supply Chains".
  • Note: [Scope -(3-7) emission factor] Emission intensity is calculated using " Emissions intensity per number of employees and days worked" in the "Emission Intensity Database for Calculating Greenhouse Gas Emissions of Organizations through Supply Chains".

Human Capital Data

Employee Data

Item Breakdown Unit FY2021
Ended Dec.		 FY2022
Ended Dec.		 FY2023
Ended Dec.		 FY2024
Ended Dec.
Number of full-time employees Total Person 154 159 164 198
Male Person 110 117 121 143
Female Person 44 42 43 55
(Percentage of female) % 28.6 26.4 26.2 27.8
Number of non-full-time employees Total Person 15 15 13 13
Male Person 13 14 11 10
Female Person 2 1 2 3
(Percentage of female) % 13.3 6.7 15.4 23.1
Number of managers Total Person 50 49 51 52
Female Person 2 3 6 4
(Percentage of female) % 4.0 6.1 11.8 7.7
Rate of employment for the disabled % 1.22 1.23 1.10 1.00
Average years of full-time employees service Total Year 3.1 3.3 3.5 3.5
Male Year 3.1 3.2 3.4 3.4
Female Year 3.0 3.5 3.8 3.6
Average age of employees Total Age 48.2 47.9 47.7 47.5
Male Age 52.4 51.6 51.1 51.1
Female Age 37.9 37.7 38.0 38.3
  • Note: [Subject corporation] Japan Investment Adviser Co., Ltd.
  • Note: [Employment status] full-time and non-full-time employees (including contract employees, but not including temporary worker)
  • Note: [Period] As of December 31 of each fiscal year (Employees who retired as of December 31 of each fiscal year are included in the number of employees at the end of the fiscal year.)
  • Note: [Method of calculating] Any fraction of less than one person in the calculation results is rounded off to one decimal place.
  • Note： [Rate of employment for the disabled] As of 1 June each fiscal year.

Wage data

Item Breakdown Unit FY2021
Ended Dec.		 FY2022
Ended Dec.		 FY2023
Ended Dec.		 FY2024
Ended Dec.
Wage Differentials between Male and Female All employees % 54.8 57.8 55.4 55.3
  • Note: [Subject corporation] Japan Investment Adviser Co., Ltd.
  • Note: [Employment status] full-time and non-full-time employees (including contract employees, but not including temporary worker)
  • Note: [Period] Total for each fiscal year (From January to December)
  • Note: [Wage calculation method] Includes base salary, allowances for overtime work, bonuses, etc., but excludes commuting allowances.
  • Note: [wage differential] The wage differentials between male and female represents the ratio of the average annual wage for female to the average annual wage for male.
  • Note: Wages do not differ by sex or for the same work, but by employment category, qualifications, and experience. Thus, the difference in wages between male and female workers is primarily due to the difference in years of experience, which is reflected in the difference in average age. (Reference: Average male age: 51.1 years, average female age: 38.3 years as FY2024)

Recruitment data

Item Breakdown Unit FY2021
Ended Dec.		 FY2022
Ended Dec.		 FY2023
Ended Dec.		 FY2024
Ended Dec.
Number of new graduates hired as full-time employees Total Person 0 0 0 0
Male Person 0 0 0 0
Female Person 0 0 0 0
(Percentage of female) % - - - -
Number of full-time mid-career hires Total Person 31 37 31 52
Male Person 23 33 23 36
Female Person 8 4 8 16
(Percentage of female) % 25.8 10.8 25.8 30.8
Number of non-full employees promoted to full-time employees Total Person 2 1 2 0
Male Person 0 1 0 0
Female Person 2 0 2 0
(Percentage of female) % 100.0 - 100.0 -
  • Note: [Subject corporation] Japan Investment Adviser Co., Ltd.
  • Note: [Employment status] full-time employees
  • Note: [Period] Total for each fiscal year (From January to December)

Retirement Data

Item Breakdown Unit FY2021
Ended Dec.		 FY2022
Ended Dec.		 FY2023
Ended Dec.		 FY2024
Ended Dec.
Number of retirees Total Person 23 32 23 18
Number of employees who left for voluntary quit Person 23 32 23 18
Number of employees who left for involuntary quit Person 0 0 0 0
Male Person 16 27 16 14
Female Person 7 5 7 4
Job turnover rate Numbers of retiree divided by Numbers of employees % 14.9 20.1 14.0 9.1
  • Note: [Subject corporation] Japan Investment Adviser Co., Ltd.
  • Note: [Employment status] full-time employee
  • Note: [Period] Total for each fiscal year (From January to December)

Work-Life Balance Data

Vacation Data

Item Breakdown Unit FY2021
Ended Dec.		 FY2022
Ended Dec.		 FY2023
Ended Dec.		 FY2024
Ended Dec.
Number of days of paid vacation granted Total Day 16.7 18.1 18.1 16.4
Male Day 16.6 17.9 17.9 16.5
Female Day 17.0 18.6 18.9 16.1
Number of paid vacations aquire Total Day 10.8 12.3 13.4 12.9
Male Day 9.4 11.9 12.6 12.2
Female Day 14.2 13.5 15.7 14.8
Acquisition rate of paid vacations Total % 64.7 68.3 74.0 78.6
Male % 56.9 66.8 70.6 73.6
Female % 83.5 72.3 83.2 91.9
  • Note: [Subject corporation] Japan Investment Adviser Co., Ltd.
  • Note: [Employment status] full-time and non-full-time employees (including contract employees, but not including temporary worker)
  • Note: [Period] Total for each fiscal year (From January to December)

Working hours data

Item Breakdown Unit FY2021
Ended Dec.		 FY2022
Ended Dec.		 FY2023
Ended Dec.		 FY2024
Ended Dec.
Total annual hours worked
per person		 Total Hour 1,995 2,001 2,008 1,992
Male Hour 1,981 1,984 1,997 1,979
Female Hour 2,029 2,048 2,039 2,026
Average overtime hours per person Total Hour 7.6 9.5 9.3 9.1
Male Hour 9.4 10.5 12.6 11.4
Female Hour 6.7 8.8 7.2 7.6
Average overtime work per person Total Yen 23,663 24,114 27,624 28,364
Male Yen 31,821 25,300 40,227 38,423
Female Yen 19,369 23,177 19,343 22,105
  • Note: [Subject corporation] Japan Investment Adviser Co., Ltd.
  • Note: [Employment status] full-time and non-full-time employees (including contract employees, but not including temporary worker)
  • Note: [Period] Total for each fiscal year (From January to December)

Data related to employees workers' childcare, childbirth, and nursing care

Item Breakdown Unit FY2021
Ended Dec.		 FY2022
Ended Dec.		 FY2023
Ended Dec.		 FY2024
Ended Dec.
Number of maternity leave acqire Female Person 3 5 5 3
Number of childcare leave or time off Total Person 3 9 7 5
Male Person 0 1 1 2
Female Person 3 8 6 3
Rate of taking childcare leave or time off Total % 100.0 100.0 100.0 100.0
Male % - 100.0 100.0 100.0
Female % 100.0 100.0 100.0 100.0
Number of employees using the shortened working hour system for childcare Total Person 2 3 6 6
Male Person 0 1 0 0
Female Person 2 2 6 6
Number of employees returning to work after childcare leave Total Person 0 3 4 2
Male Person 0 1 0 0
Female Person 0 2 4 2
Return to work rate for childcare leave
Calculation method: Number of employees returning to work on childcare leave divided by Total number of employees whose childcare leave has ended		 Total % - 100.0 100.0 100.0
Male % - 100.0 - -
Female % - 100.0 100.0 100.0
Number of nursing leave Total Person 0 0 0 4
Male Person 0 0 0 3
Female Person 0 0 0 1
  • Note: [Subject corporation] Japan Investment Adviser Co., Ltd.
  • Note: [Employment status] full-time and non-full-time employees (including contract employees, but not including temporary worker)
  • Note: [Period] Total for each fiscal year (January-December)

Health Care Data

Item Breakdown Unit FY2021
Ended Dec.		 FY2022
Ended Dec.		 FY2023
Ended Dec.		 FY2024
Ended Dec.
Rate of medical check‐up Total % 87.1 99.4 100.0 97.4
Male % 87.3 99.2 100.0 97.8
Female % 86.5 100.0 100.0 96.2
Mental Health Leave Total Person 0 0 0 1
Male Person 0 0 0 1
Female Person 0 0 0 0
  • Note: [Subject corporation] Japan Investment Adviser Co., Ltd.
  • Note: [Employment status] full-time and non-full-time employees (including contract employees, but not including temporary worker)
  • Note: [Period] Total for each fiscal year (From January to December)

Governance Data

Directors Data

Item Breakdown Unit FY2021
Ended Dec.		 FY2022
Ended Dec.		 FY2023
Ended Dec.		 FY2024
Ended Dec.
Number of Directors Total Person 8 8 8 8
Male Person 8 8 8 7
Female Person 0 0 0 1
Number of Outside Directors Person 4 4 4 5
(Ratio of Outside Directors) % 50.0 50.0 50.0 62.5
Number of Board Meetings and Attendance Number of Board of Directors Time 14 14 13 13
(Attendance rate of all Directors) % 99.1 100.0 98.1 99.0
(Attendance rate of Outside Directors) % 98.1 100.0 96.2 98.4
Terms of Directors Year 2 2 2 2
  • Note: [Subject corporation] Japan Investment Adviser Co., Ltd.
  • Note: [Period] Number of persons is data as of December 31 of each fiscal year. Attendance is during the tenure of office in each fiscal year (From January to December)

Audit & Supervisory data

Item Breakdown Unit FY2021
Ended Dec.		 FY2022
Ended Dec.		 FY2023
Ended Dec.		 FY2024
Ended Dec.
Number of Audit & Supervisory Total Person 3 3 3 3
Male Person 3 3 3 3
Female Person 0 0 0 0
Number of Outside Audit & Supervisory Person 2 2 2 2
(Rate of Outside Audit & Supervisory) % 66.6 66.6 66.6 66.6
Nunber of Audit & Supervisory board
Attendance		 Nunber of Audit & Supervisory board Times 13 13 13 14
(Attendance rate of outside Audit & Supervisory) % 100.0 100.0 92.3 100.0
  • Note: [Subject corporation] Japan Investment Adviser Co., Ltd.
  • Note: [Period] Number of persons is data as of December 31 of each fiscal year. Attendance is during the tenure of office in each fiscal year (From January to December)

Nominating and Compensation Advisory Committee Data

Item Breakdown Unit FY2021
Ended Dec.		 FY2022
Ended Dec.		 FY2023
Ended Dec.		 FY2024
Ended Dec.
Nominating and Compensation Advisory Committee
Number of members		 Total Person 3 3 3 3
Number of Outside Directors Person 1 1 1 1
(Composition of Outside Directors) % 33.3 33.3 33.3 33.3
Chairman In-house Director In-house Director In-house Director In-house Director
Nominating and Compensation Advisory Committee
Status of the event		 Total Times 3 2 1 1
  • Note: [Subject corporation] Japan Investment Adviser Co., Ltd.
  • Note: [Period] Number of persons is data as of December 31 of each fiscal year. Number of events is the total for the period in each fiscal year (From January to December).

Board members Compensation Data

Item Breakdown Unit FY2021
Ended Dec.		 FY2022
Ended Dec.		 FY2023
Ended Dec.		 FY2024
Ended Dec.
Board members Compensation Directors Million Yen 183 187 180 160
Of which, Outside Directors Million Yen 20 22 22 25
Audit & Supervisory Million Yen 11 12 12 12
Of which, outside Audit & Supervisory Million Yen 6 7 6 7
  • Note: [Subject corporation] Japan Investment Adviser Co., Ltd.
  • Note: Remuneration for executives is fixed remuneration only, with no performance-linked or non-monetary remuneration