Disclaimer: GRESB Infrastructure Asset Assessment Scoring Document
The GRESB Infrastructure Asset Scoring Document accompanies the GRESB Infrastructure Asset Standard and Reference Guide and is published as a standalone document. The Scoring Document reflects the opinions of GRESB and not of our members. The information in the Scoring Document has been provided in good faith and is provided on an “as is” basis. We take reasonable care to check the accuracy and completeness of the Scoring Document prior to its publication. While we do not anticipate major changes, we reserve the right to make modifications to the Scoring Document. We will publicly announce any such modifications. The Scoring Document is not provided as the basis for any professional advice or for transactional use. GRESB and its advisors, consultants and sub‑contractors shall not be responsible or liable for any advice given to third parties, any investment decisions or trading or any other actions taken by you or by third parties based on information contained in the Scoring Document. Except where stated otherwise, GRESB is the exclusive owner of all intellectual property rights in all the information contained in the Scoring Document.
Purpose of this document
The GRESB Infrastructure Asset Scoring Document provides a comprehensive explanation of how individual indicators are scored within the Infrastructure Asset Assessment. It is designed to complement the Reference Guide, which outlines the specific reporting requirements for each indicator. Together, these documents help participants understand the assessment criteria, meet reporting requirements, and interpret their scores effectively.
For additional guidance on understanding the Benchmark Report insights, refer to the “How to Read Your Benchmark Report” document. Frequently asked scoring-related questions are also addressed in the FAQ document.
GRESB Scoring Model
Scoring within the GRESB Infrastructure Asset Assessment is fully automated and completed without manual intervention. The maximum score for the Infrastructure Asset Assessment is 100 points, distributed across components as follows:
- Management Component: 40 points
- Performance Component: 60 points

GRESB Score = Management Score + Performance Score
GRESB Rating
The GRESB Rating is an overall relative measure of ESG management and performance of the asset.
The calculation of the GRESB Rating is based on the GRESB Score and its quintile position relative to the GRESB universe, with annual calibration of the model. If the participant is placed in the top quintile, it will have a GRESB 5‑star rating; if it ranks in the bottom quintile, it will have a GRESB 1‑star rating, and so forth.
Indicator Score Breakdown
Each indicator within the GRESB Infrastructure Asset Assessment is assigned a specific scoring weight. The maximum score an entity can achieve for each indicator depends on several factors, with the scoring process incorporating scoring weights and scoring multipliers. For details on materiality-based scoring, please refer to this section below.
Simple Scoring Weights
The options and sub-options of most scored indicators* have different scoring weights. These weights, displayed in red on the left side of each indicator, represent the distribution of total available points per indicator according to the priorities established by the GRESB Foundation, aligning with market trends and sustainability best practices.
When indicators have options and sub-options, the scoring weight for each sub-option is first summed, and the resulting value is multiplied by the main fraction assigned to that option. The final score is the cumulative sum of these weighted sub-options across all main options within the indicator, multiplied by the indicator's maximum points.
If the sum of sub-option weights surpasses one, the value is capped at one. If the sum of the options surpasses the indicator's maximum score, the value will be capped at that maximum.
The score for these indicators is determined as follows:
Indicator Score = [(Sum of sub-option scoring weights) * (Selection weight)] × (Maximum score for the indicator)
Example: Indicator LE3 – ESG, climate-related and/or Human Capital senior decision maker (1.65 points).
The indicator consists of three main options: ‘ESG,’ ‘Climate-related risks and opportunities,’ and ‘Human Capital’. ESG, for example, carries a weight of (3/5). Within each main option, there are several sub-options (i.e., Board of directors, C-suite level staff), each assigned its own weight. In the case of LE3, each sub-option contributes a scoring weight of 1. If an entity chooses one element under ‘ESG,’ one element under ‘Climate-related risks and opportunities,’ and one element under ‘Human Capital’, the calculation would read as:
Note: Diminished scoring may influence sub-options’ scoring weights. See this section below for more information.
*Not applicable to Performance Component indicators involving performance tables, with the exception of GH1, which includes a combination of scored sub-options and performance tables. See the ‘Performance Tables’ section for clarification on how GRESB scores these indicators.
Diminishing Increase in Scoring
For other indicators, diminishing scoring impacts the assigned scoring weight of the options and sub-options. When applicable, the scoring document represents this with a blue line next to the selections’ fractional weights.
The idea behind this concept is that the fractional score achieved for each additional data point provided decreases as the number of provided data points increases. This means that the fractional score achieved for the first data point will be higher than the fractional score achieved for the second, which again will be higher than for the third, and so on.
In this approach, the full assigned scoring weight is only achieved per selection if the entity selects the minimum number of required elements. In indicator SE1, for example, selecting ‘Clients/customers’ as an applicable stakeholder will only earn a 1/5 scoring weight if the entity selects five stakeholder groups. Otherwise, the scoring weight of this selection would be a logarithmic function of the fractional score.

Scoring Multipliers
Validation Multiplier
For indicators that are subject to manual validation (see Appendix 4 of the Reference Guide), the evidence’s validation status acts as a multiplier to determine the indicator’s final score.
If supporting evidence for indicators is fully accepted, it results in the application of the full multiplier (100%) to the indicator's score. If supporting evidence is partially accepted, it results in a reduced multiplier (50%). If the evidence is not accepted, the multiplier is set to 0, regardless of the original selection’s predefined scoring weight. Indicators and responses subject to manual validation can be found in Appendix 4 of the Reference Guide.
Validation Multiplier Example
For indicators with a validation multiplier, the final score is calculated using the following formula:
Indicator Score = ((Sum of scoring weights) × (Multiplier)) × (Maximum score for the indicator)
Example: Indicator LE5 - Personnel ESG Performance Targets (3.26 points). Each selected personnel group contributes a specific scoring weight. It is mandatory to upload evidence that supports the entity’s selections. The evidence’s validation status (i.e., accepted, partially accepted or not accepted) is associated with a scoring weight that is used as a multiplier to determine the final score.
If an entity chooses ‘ESG managers’ and ‘Investment analysts’ but its evidence is given a partially accepted validation status (multiplier: 0.5), the calculation would be as follows:
Coverage Multipliers
When applicable, coverage percentage can also be used as a multiplier to determine the assigned score. This multiplier applies to the following indicators as follows:
- Percentage of employees: EM1
- Data coverage (as defined by the entity): GH1, EN1, WT1-2, WS1, HS1-4
Coverage Multiplier Example
Example: Indicator EM1 - Employee engagement (4.29 points). Taking the following scenario:
- The entity provides professional and ESG-specific training for employees. It has also undertaken an employee survey within the last three years. An independent third party conducted the survey and it included a Net Promoter Score. The entity administered the survey to 60% of employees.
Scoring is then calculated as follows:
-
Does the entity provide training and development?
-
-
The survey is undertaken:
-
- 0.5 + 0.36 = 0.86 * 4.29 (max score) = 3.72 points
Performance Tables
Most performance indicators (i.e., EN1, GH1, AP1) require participants to input quantitative data into a table. For these indicators, scoring depends on the values input to certain cells. Scored cells are shaded to indicate their scoring impact. For details on which cells are scored and how, please refer to the indicator-specific requirements in this document.
Materiality Based Scoring
GRESB uses materiality‑based scoring across the Asset Assessment. This process ensures that all assets are assessed and scored based on the ESG issues that are most material to their circumstances. It also reduces the reporting burden by removing the need to report on issues with little-to-no material significance to the participant.
Materiality Factors and ESG Issues
The GRESB Materiality Assessment (indicator RC7), as well as additional information drawn from the Entity & Reporting Characteristics indicators (RC2, RC3, RC4, and RC5) determine the relevance of 46 ESG issues across the assessment. Each ESG issue’s relevance level then determines its scoring weight.
An asset’s ESG issue weightings are displayed at the bottom of the indicator in the GRESB Portal.
Materiality |
Weighting |
No relevance |
0 |
Low relevance |
0 |
Medium relevance |
1 |
High relevance |
2 |
Issues of ‘no’ or ‘low’ relevance are deemed non-material and receive no score in the assessment and are effectively removed from consideration. Issues of ‘medium’ and ‘high’ relevance are scored proportionally, with weights of one and two, respectively.
- For example, for entities in the primary sector ‘Renewable power: Solar power generation,’ the issue ‘Air pollution’ is of ‘No relevance’ and does not need to be considered by entities in this sector in the Assessment.
- On the other hand, for entities in the primary sector ‘Power generation x-Renewables: Independent Power Producers: Gas-Fired Power Generation’, ‘Air pollution’ is of ‘High relevance’ and will have a greater scoring impact across the assessment.
Once each of the ESG issues has been assigned a materiality weighting (relevance), these apply to certain indicators in both the Management and Performance Components in slightly different ways.
- Management Component Materiality: Materiality influences two Aspects in the Management Component: Risk Management and Policies. Within these indicators, each sub-option (i.e., ‘Child labor’ or ‘Community development’ in PO2) is associated with a materiality/relevance level of 0, 1 or 2.
- Performance Component Materiality: Materiality influences all scored Aspects in the Performance Component. Each indicator is directly tied to an ESG issue; as such, the materiality weighting of 0, 1, or 2, applies to its entire maximum score. This means that the weight of each indicator within the Performance Component and overall GRESB Score is redistributed so that the component retains its overall 60% weight within the Asset Assessment.
Materiality and Scoring Tool
Participants can model an entity’s materiality results and their scoring implications using the Materiality and Scoring Tool. This tool, which models the GRESB Materiality Assessment of indicator RC7, contains the following information:
- Each indicator’s E, S, and G designation
- Each indicator’s maximum score
- Each indicator’s weight in its respective Aspect and Component
- The entity’s maximum score per indictor, once materiality is applied
- Details on how the materiality weightings are assigned based on materiality factor responses
- Sector definitions and sector-specific output metrics
Additional Clarifications
Open text boxes are not used for scoring purposes but are intended for additional reporting or explanatory purposes.