ESG Library ESG Data

Environment

GHG

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Entire Portfolio Unit FY 2018 FY 2019 FY 2020 FY 2021 FY 2022 FY 2023
Total CO₂ emission t-CO₂ 15,253 18,318 15,892 14,833 8,939 17,429
Scope1 2,411 2,930 2,473 764 795 791
Scope2
market-basis
- - - 4,362 1,734 793
Scope2
location-basis
12,842 15,389 13,420 5,856 6,513 6,316
Scope3
*Emissions from the use of electricity and fuel by tenants in the exclusive area
- - - 9,707 6,410 15,846
CO₂ emission intensity t-CO₂/㎡ 0.064 0.063 0.052 0.048 0.027 0.033
Residence Unit FY 2018 FY 2019 FY 2020 FY 2021 FY 2022 FY 2023
Total CO₂ emission t-CO₂ 3,955 3,959 2,897 2,326 433 4,997
CO₂ emission intensity t-CO₂/㎡ 0.041 0.040 0.029 0.023 0.004 0.016
Office Building Unit FY 2018 FY 2019 FY 2020 FY 2021 FY 2022 FY 2023
Total CO₂ emission t-CO₂ 7,362 10,039 9,719 8,684 5,842 9,178
CO₂ emission intensity t-CO₂/㎡ 0.063 0.063 0.058 0.050 0.032 0.049
Hotel Unit FY 2018 FY 2019 FY 2020 FY 2021 FY 2022 FY 2023
Total CO₂ emission t-CO₂ 3,936 4,320 3,276 3,823 2,664 3,254
CO₂ emission intensity t-CO₂/㎡ 0.147 0.125 0.089 0.104 0.106 0.129

Energy

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Entire Portfolio Unit FY 2018 FY 2019 FY 2020 FY 2021 FY 2022 FY 2023
Total energy consumption MWh 41,581 52,494 48,998 51,429 51,046 51,652
Electricity 28,152 36,174 35,227 36,423 36,507 36,274
Fuel 13,249 16,319 13,772 15,006 14,539 15,378
Energy consumption intensity MWh/㎡ 0.174 0.179 0.161 0.165 0.160 0.159
Residence Unit FY 2018 FY 2019 FY 2020 FY 2021 FY 2022 FY 2023
Total energy consumption MWh 8,181 8,352 8,219 8,343 10,009 10,639
Electricity 8,181 8,352 8,219 8,343 9,892 10,499
Fuel - - - - 117 140
Energy consumption intensity MWh/㎡ 0.085 0.085 0.083 0.083 0.090 0.092
Office Building Unit FY 2018 FY 2019 FY 2020 FY 2021 FY 2022 FY 2023
Total energy consumption MWh 20,459 28,180 28,041 29,138 30,157 29,555
Electricity 13,657 19,388 19,865 20,388 21,212 20,178
Fuel 6,801 8,792 8,176 8,750 8,945 9,377
Energy consumption intensity MWh/㎡ 0.176 0.176 0.166 0.167 0.164 0.161
Hotel Unit FY 2018 FY 2019 FY 2020 FY 2021 FY 2022 FY 2023
Total energy consumption MWh 12,941 15,961 12,738 13,948 10,880 11,457
Electricity 6,313 8,434 7,143 7,692 5,403 5,597
Fuel 6,628 7,527 5,596 6,256 5,477 5,860
Energy consumption intensity MWh/㎡ 0.483 0.461 0.347 0.380 0.432 0.454

Waste

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Entire Portfolio Unit FY 2018 FY 2019 FY 2020 FY 2021 FY 2022 FY 2023
Total waste emission t 1,055 1,045 714 696 884 726
Landfill 357 357 200 57 10 16
Incineration 197 207 162 230 346 351
Recycled 501 481 344 351 523 358
Reuse - - - 39 - -
Other - - 8 18 4 -
Waste emission intensity kg/㎡ 7.455 5.382 3.679 3.288 4.236 3.459
Office Building Unit FY 2018 FY 2019 FY 2020 FY 2021 FY 2022 FY 2023
Total waste emission t 871 869 618 602 695 593
Landfill 244 248 144 57 10 14
Incineration 194 203 160 185 275 273
Recycled 433 418 306 308 405 306
Reuse - - - 39 - -
Other - - 8 13 4 0
Waste emission intensity kg/㎡ 7.488 5.145 3.660 3,441 3.787 3.212
Hotel Unit FY 2018 FY 2019 FY 2020 FY 2021 FY 2022 FY 2023
Total waste emission t 184 176 96 94 189 133
Landfill 113 109 56 - - 2
Incineration 3 4 2 45 71 78
Recycled 68 63 38 44 118 53
Reuse - - - - - -
Other - - - 5 - -
Waste emission intensity kg/㎡ 7.301 6.970 3.810 2.559 7.500 5.268

Water

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Entire Portfolio Unit FY 2018 FY 2019 FY 2020 FY 2021 FY 2022 FY 2023
Total water use 780,360 876,419 845,551 819,330 866,107 941,480
Rainwater 2,509 2,461 1,640 2,416 3,400 3,239
City water 777,851 873,958 843,911 816,914 862,707 938,241
Water use intensity ㎥/㎡ 1.743 1.707 1.631 1.561 1.543 1.590
Residence Unit FY 2018 FY 2019 FY 2020 FY 2021 FY 2022 FY 2023
Total water use 601,691 638,837 677,399 637,167 689,477 750,733
Rainwater - - - - - -
City water 601,691 638,837 677,399 637,167 689,477 750,733
Water use intensity ㎥/㎡ 1.976 2.004 2.166 2.034 1.954 1.958
Office Building Unit FY 2018 FY 2019 FY 2020 FY 2021 FY 2022 FY 2023
Total water use 107,571 152,090 119,520 126,231 126,378 128,667
Rainwater 2,509 2,461 1,640 2,416 3,400 3,239
City water 105,062 149,629 117,880 123,815 122,978 125,428
Water use intensity ㎥/㎡ 0.925 0.950 0.708 0.721 0.689 0.700
Hotel Unit FY 2018 FY 2019 FY 2020 FY 2021 FY 2022 FY 2023
Total water use 71,098 85,493 48,632 55,932 50,253 62,080
Rainwater - - - - - -
City water 71,098 85,493 48,632 55,932 50,253 62,080
Water use intensity ㎥/㎡ 2.655 2.471 1.325 1.524 1.993 2.462

Renewable Energy

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Unit FY 2018 FY 2019 FY 2020 FY 2021 FY 2022 FY 2023
Renewable energy
consumption
MWh 11 229 2,031 6,602 20,592 23,471
Generated 11 1 9 10 9 8
Purchased - 228 2,022 6,592 20,582 23,463

Information Related to Calculation of Environmental Performance Data

Scope

All properties owned by SHR (excluding properties disposed during the calculation period for FY 2022 and before)
*Excluding areas where data is difficult to ascertain, such as where tenants have energy management rights.

Data Coverage

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  FY 2021 FY 2022 FY 2023
GHG 42.1% 42.6% 90.6%
Energy 42.1% 45.1% 90.6%
Waste 25.5% 27.5% 28.1%
Water 67.1% 77.2% 80.0%

(Note) The coverage is calculated as total floor space of properties subject to data acquisition / total floor space based on the measured data.

Aggregation Period

From January to December (For waste, from April to March of the following year)
*Before FY 2022 (for water, before FY 2021), the data was aggregated from April to March.

Reference Guidelines

Ministry of the Environment “Greenhouse gas emission calculation / reporting / publication system”
Ministry of the Environment and Ministry of Economy, Trade and Industry “Basic Guidelines on Accounting for Greenhouse Gas Emissions throughout the Supply Chain (ver. 2.5)”

Calculation Standards

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Classification Item Calculation Method
GHG CO₂ emissions Total GHG emissions from Scope1, Scope2 and Scope3
Scope 2 is calculated on using a location-basis before FY 2020 and a market-basis after FY 2021
Amount of emissions Scope1 Direct greenhouse gas emissions by the business operator itself where the amount of activity (amount of fuel use) in common areas × the emission factor
Scope2 Indirect emissions associated with the use of electricity, heat, and steam supplied from other companies where the amount of activity in common areas (amount of energy) × the emission factor
Scope3 Leased assets (downstream) in category 13 where the amount of tenants' activity (amount of fuel use and amount of energy) in exclusive area × the emission factor
Note that Scope 3 is separately calculated by category from FY 2021
Intensity CO₂ emissions/total floor area
Energy Amount of
consumption
Amount of fuel use and energy × Energy conversion factor
Note that for city gas, 45 MJ/㎡ applies uniformly until March 2023, and the unit calorific value by suppliers applies from April 2023 onwards. For others, factors under the reference guidelines apply.
Intensity Energy consumption/total floor area
Water Amount of usage Total of rainwater and city water
Intensity Water usage/total floor area
Waste Amount of emissions Total amount of waste excluding valuables
Intensity Waste emissions/total floor area
Renewable Energy Amount of usage Total amount of renewable energy generated by solar power generation facilities at owned properties and purchased renewable energy

SHR's Supply Chain GHG Emissions

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FY2023
 Scope1 (t-CO₂) 791
 Scope2 (t-CO₂) Market basis 793
 Scope3 (t-CO₂) 55,958
Total GHG emissions 57,541

Scope3 GHG Emissions by category

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Category Unit FY2023
Category 1 Purchased goods and services t-CO₂ 6,842
Category 2 Capital goods 7,215
Category 3 Fuel- and energy related activities (not included in scope 1 or scope 2) 3,090
Category 4 Upstream transportation and distribution 12
Category 5 Waste generated in operations 183
Category 13 Downstream leased assets 38,615
Scope3 Total GHG emissions 55,958

(Note)The calculation is based on Ministry of the Environment and Ministry of Economy, Trade and Industry “Basic Guidelines on Accounting for Greenhouse Gas Emissions throughout the Supply Chain (ver. 2.5) and "IDEA v2 (2019)". Categories not listed above are not included in the calculation because there are no emission sources.

Third-Party Assurance (Verification Opinion)

In order to increase data reliability, SHR has acquired a third-party assurance for our environmental performance data from SGS Japan Inc. with the exception of some data.

Verification OpinionPDF

Social

Status of Directors and Employees of SHA

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Unit FY 2020 FY 2021 FY 2022 FY 2023
Total number of directors and employees Persons 60 64 66 68
Male 44 45 45 47
Female 16 19 21 21
Directly hired employees 41 47 50 52
Male 30 33 34 35
Female 11 14 16 17
Seconded employees 13 11 10 10
Male 8 6 5 6
Female 5 5 5 4
Non-Japanese employees 1 - - -
Employment rate of persons with disabilities % - 2.25 2.11 2.06
Age composition Male Under 30 years old Persons 2 2 1 2
30-50 years old 23 22 24 26
50 years old and over  19 21 20 19
Female Under 30 years old 1 2 3 3
30-50 years old 13 15 16 16
50 years old and over 2 2 2 2
Percentage of female managers* % 3.6 3.6 4.0 7.7
Average years of service Years 6.1 6.5 6.5 6.5
Male 8.5 8.0 7.9 7.8
Female 2.7 3.0 3.5 3.8
Number of newly hired employees Persons 7 9 8 6
Male Under 30 years old 1 2 - 1
30-50 years old 3 4 6 3
50 years old and over - - - -
Female Under 30 years old 1 1 2 -
30-50 years old 2 2 - 2
50 years old and over - - - -
Number of employees who resigned Persons 6 1 4 4
Male Under 30 years old - 1 - -
30-50 years old 4 - 3 2
50 years old and over - - 1 1
Female Under 30 years old - - - -
30-50 years old 2 - - 1
50 years old and over - - - -
Turnover rate % 10.5 1.7 6.9 6.7
Voluntary turnover rate 10.5 1.7 6.9 6.7
Number of employees taking childcare leave Persons 3 2 3 4
Take-up rate for male childcare leave* % No applicable person No applicable person 100 100
Number of employees taking family care leave Persons - - - -
Number of short-term workers 2 2 4 3
Average monthly work hours per person* Hours 166.3 164.9 159.9 160.0
Annual paid leave take-up rate* % 40.5 52.0 75.6 79.5
Gender wage gap Total employees % - - - 75.0
Regular employees - - - 79.0
Non-regular employees - - - 0.0
Frequency rate of accidents resulting in lost worktime % - - - -
Frequency rate of occupational illness in lost worktime % - - - -

Number of Qualifications Holders

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Unit As of Jan. 31, 2021 As of Jan. 31, 2022 As of Jan. 31, 2023 As of Jan. 31, 2024
ARES Certified Master Persons 27 27 28 30
Real Estate Notary 36 41 45 45
Real Estate Appraiser 1 1 1 1
First-Class Certified Architect 1 1 1 1
Chartered Member of the Securities Analysts Association of Japan 1 1 1 1
Certified Building Administrator 9 10 10 8
MBA 1 1 1 2
Attorney at-law 1 1 1 1
Real Estate Consulting Master 3 4 4 4
CASBEE Accredited Professional for Real Estate 5 5 3 6
Licensed Strata Management Consultant 2 2 2 2
Licensed Representative of Condominium Management Company 4 5 5 4
Labor and Social Security Attorney 1 1 1 1
Employment Counselor - - 1 1

(Note)Includes personnel who have passed the qualifying examination.

Training Achievements

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Unit FY 2020 FY 2021 FY 2022 FY 2023
Average hours of training per person Hours 16.9 14.5 12.6 15.5
Average costs of training per person Yen 53,613 27,794 11,213 29,377
Annual internal training participation rate* % 100 100 100 100
Number of annual external training courses attended per person* Times 1.5 3.4 2.4 6.1

Training Implementation

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Unit FY 2020 FY 2021 FY 2022 FY 2023
General training Number of times Times 1 - 2 2
Participation rate 100 - 97.7 96.2
Human relations training Number of times Times 1 1 1 1
Participation rate 100 100 100 100
Compliance training Number of times Times 3 6 4 4
Participation rate 100 100 99.6 100
ESG training Number of times Times 1 1 1 1
Participation rate 100 100 95.5 81.8
Tiered training Number of times Times - 3 - -
Participation rate - 100 - -

Social Contribution Activities

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Unit FY 2021 FY 2022 FY 2023
"Sekisui House Matching Program" (a joint donation system for employees and the company) participation rate 41.9 44.6 41.2
Cash donation Yen 43,200 80,000 81,200
Time donation 75,925 401,134 300,402

Information Related to Calculation of Social Dimension Data

Scope

Employees of SHA

Aggregation Period

From February 1 of each year to the end of January 31 of the following year
(For the average monthly work hours per person, frequency rate of accidents resulting in lost worktime and frequency rate of occupational illness in lost worktime, the data is aggregated from January 1 of each year to December 31. For the annual paid leave take-up rate, the data is aggregated from March 11 of each year to March 10 of the following year. For the annual internal training participation rate, the data is aggregated from April 1 of each year to March 31 of the following year.)

Calculation Standards

Employment rate of persons with disabilities Number of employees with disabilities / employees (excluding seconded employees; part-time workers are converted to 0.5 employees) calculated on June 1 every year
Average years of service Years of employee service from the date of hire prior to the merger/Number of employees (excluding seconded employees)
Number of newly hired employees,
Number of employees taking childcare leave,
Number of employees taking family care leave and
Number of short-term workers
Calculated from February 1, the first day of the fiscal year of SHA
Turnover rate Number of employees who resigned during the fiscal year / number of employees at the beginning of the fiscal year × 100
Average monthly work hours per person Average of one year from January each year
Annual paid leave take-up rate Total paid leave taken / total paid leave granted × 100, during one year from March each year
Annual internal training participation rate Number of training participants / number of directors and employees enrolled (excluding employees on maternity or childcare leave and seconded employees) as of the training date
Number of annual external training courses attended per person Total number of external training courses attended during the fiscal year/Number of directors and employees (excluding employees on maternity or childcare leave and seconded employees) as of the end of the fiscal year
Time donations Total amount paid to all employees (including seconded employees and excluding transportation expenses) / number of employees enrolled at the end of the fiscal year / number of business days per year / number of work hours per day / cumulative hours of social contribution activities
Gender wage gap Average annual wage of female employees / average annual wage of male employees × 100
Average annual wages are calculated as total wages (including bonuses) / number of employees (excluding seconded employees) as of the end of the fiscal year
(Note) In the personnel system of SHA, there is no difference in wages between male and female employees in the same grade.
Frequency rate of accidents resulting in lost worktime Number of fatalities and injuries due to lost worktime injuries / total working hours × 1,000,000
Frequency rate of occupation illness in lost worktime Number of occupational illnesses / total working hours × 1,000,000

Third-Party Assurance (Verification Report)

In order to increase data reliability, SHR and SHA have acquired a third-party assurance from the Japan Quality Assurance Organization for the social dimension data marked *.

Verification ReportPDF

Governance

Status of Use of Internal Reporting System

Unit FY 2020 FY 2021 FY 2022 FY 2023
Compliance Hotline Cases - - - -

Status of Legal Compliance

Unit FY 2020 FY 2021 FY 2022 FY 2023
Number of serious violations of laws and voluntary standards Cases - - - -
Fines for violations of various laws and regulations Yen - - - -

Political Contribution

Unit FY 2020 FY 2021 FY 2022 FY 2023
Amount of political contribution Yen - - - -