Introduction
Get introduced to Tracenable’s Climate Targets dataset, including its scope, key characteristics, and unique value, and get redirected to detailed pages to deepen your knowledge.
Overview
The Climate Targets dataset captures how over 5,000 companies worldwide disclose and set greenhouse gas (GHG) reduction targets: both absolute (total emissions reduction) and intensity-based (emissions per unit of output). It provides a harmonized view of corporate climate ambition across industries and regions, enabling consistent measurement and comparison.
The dataset standardizes disclosures on target scopes: Scope 1 (direct), Scope 2 (indirect energy), and Scope 3 (value chain) emissions, along with baseline and target years, reduction magnitudes, and intensity denominators. Through rigorous normalization of metrics, time horizons, and boundaries, fragmented corporate targets are transformed into comparable, time-bound, and data-backed commitments.
This dataset focuses on quantified GHG reduction targets, enabling robust analysis of corporate ambition and measurable progress toward global climate objectives. It supports comparability across companies and facilitates long-term tracking of decarbonization performance.
Broader corporate climate claims & commitments, such as net-zero and carbon neutrality, are captured in a separate dataset: Climate Commitments.
Data Characteristics
Company Coverage
5000
Geographical Coverage
Global
Sectoral Coverage
All Sectors
Data Historical Range
From 2019 to 2024
Median Data History
2.5 years
Data Traceability Rate
100%
Data Frequency
Annual
Average Reporting Lag
3 months
Data Format
Most Recent
What makes Tracenable's Climate Targets Data Unique
Tracenable's Climate Targets data product sets the market benchmark for precision, standardization, reliability, and integrity. Learn why our data stands apart:
Beyond Market Standard
Tracenable's GHG emissions reduction target data offers greater detail and standardization than SBTi or CDP data - not only in terms of units and directionality coverage, but every data point includes information on baseline figures and achievements against targets whenever available, facilitating immediate application for calculating temperature alignment scores and other critical environmental assessments.
Maximized Completeness
Our advanced algorithms synthesize climate targets across multiple sources to create the most complete picture possible. When a company reports target details in different documents, such as baseline in annual reports and progress updates on their website, we integrate all data points to provide continuous, up-to-date tracking of commitments and achievements.
Precision in Every Figure
Our cross-source validation ensures precise tracking of climate commitments and achievements. For instance, we capture exact baseline emissions of 1,542,450 tCO2e rather than rounded-sm figures, while maintaining clear links between targets, baselines, and achievement metrics.
Exceptionally Granular & Fully Standardized
We standardize intensity-based targets using over 200 'as reported' metrics mapped to 28 comparable categories. This unique approach enables meaningful comparison of targets across companies, sectors, and time periods, while preserving original reporting detail.
End-to-End Data Traceability
Every climate target and achievement metric is traceable to its original source with exact page references and documentation of calculation methodologies. This transparency enables confident verification of corporate climate commitments and progress claims.
Full-Scope Boundary Verification
We tag GHG emissions reduction targets that do not cover a company's entire organizational or operational boundaries with an 'Incomplete Boundaries' attribute. This attribute enhances transparency and ensures the comparability of our data by keeping you informed of any potential limitations.
Deep Dive into the Climate Targets Dataset
On the following pages, you’ll find all the resources needed to fully understand and apply the Climate Targets dataset:
Definitions & Terminology – Key terms and concepts used in the dataset
Data Dimensions & Metrics – Breakdown of Climate Targets metrics and how they are structured
References & Standards – Alignment with global reporting frameworks and regulations
Data Collection Methodology – How the dataset is built and validated
Data Sources – Origin and type of corporate disclosures collected
Standardization Guidelines – Rules applied to ensure comparability
Calculation Logic – Methods for deriving standardized metrics
Quality Assurance – Checks and processes ensuring data integrity
Data Dictionary – Complete reference of fields, units, and definitions