Greenhouse Gas Emissions

Comprehensive information set on the world companies’ carbon footprint, including Scope 1, 2 (market & location-based), & 3 emissions data along with their emissions revenue intensity ratio.

Overview

This dataset is part of Datacie’s ESG collection covering climate and other environment-related indicators. Access the industry’s most complete information set on the world companies’ carbon emissions to understand, measure, and make informed decisions about climate-related risks, regulatory requirements (e.g., SFDR, EU Taxonomy, TCFD), corporate engagements, and impact investing.

Company Coverage

Company coverage

6'500+ Companies

Geographical Coverage

Coverage

Worldwide

Data History

History

Back to 2014

As reported / Standardized

Reporting type

As Reported

Most-Recent / As Reported

View

Include both views

Data Frequency

Frequency

Annual

Reporting Lag

Lag

Monthly

Delivery Format

Delivery status

Excel, API, FTP, Datafeed

Use Cases & Benefits

Asset managers -create unique and differentiated ESG portfolio strategies that align with your investors’ preferences and your firm’s positioning while generating better returns.

Commercial Banks -explain how your recommendations meet your clients’ sustainability preferences by providing them easy-to-understand, relevant ESG metrics in your communications.

Consultants -support the development of your clients’ ESG policies and methodologies with high-quality data & insights.

Corporates -benchmark your company against your peers in terms of sustainability and understand the data that your investors use to build a fair view of your company.

Fund managers -create funds that reflect your policies on the integration of sustainability risks & impacts in your investment decision-making process or advisory services.

Institutional managers -comply with ESG regulatory requirements and provide confidence to your clients that require greater transparency around climate change.

Risk managers -derive climate risk-mitigating strategies by adjusting your exposure to certain companies and sectors.

Engaged investors -build persuasive arguments to engage effectively with corporates to raise awareness about their insufficient level of disclosures or non-compliance with key disclosure frameworks.

Researchers -empower your research with the industry’s broadest ESG content set and convince decision-makers with empirical facts and findings.

Sample data

Free sample data is available to all Datacie’s users. The sample includes the most-recently reported annual data for the following companies: Roche Holding AG, Royal Dutch Shell Plc, Apple Inc, Toyota Motor Corp, and General Electric Company.

Column definition

company name

Official name of the company.
Ex: Apple Inc

fiscal year

Fiscal year over which the data are measured.
Ex: 2018

scope 1

Gross direct (Scope 1) GHG emissions in metric tons of CO2 equivalent.
Ex: 54'590 (metric tons CO2 equivalent)

scope 2 location

Gross location-based energy indirect (Scope 2) GHG emissions in metric tons of CO2 equivalent.
Ex: 8'730 (metric tons CO2 equivalent)

scope 2 market

Gross market-based energy indirect (Scope 2) GHG emissions in metric tons of CO2 equivalent.
Ex: 8'730 (metric tons CO2 equivalent)

scope 2 unspecified

Gross energy indirect (Scope 2) GHG emissions in metric tons of CO2 equivalent – when reporting entities do not specify between market & location based. For comparison purposes, reporting entities most likely disclose location-based scope 2 emissions by default.
Ex: 8'730 (metric tons CO2 equivalent)

scope 1 2

Sum of gross direct and indirect GHG emissions in metrics tones of CO2 equivalent.
Ex: 63'320 (metric tons CO2 equivalent)

scope 3

Gross other indirect (Scope 3) GHG emissions in metric tons of CO2 equivalent.
Ex: 25'070'500 (metric tons CO2 equivalent)

intensity ratio

GHG emissions (Scope 1 + 2) per million Euros of revenue as a proxy of the carbon efficiency per unit of output.
Ex: 0.28

isin

International Securities Identification Number of the company’s most traded share classes, notes or bonds.

ticker

Ticker or trading symbols.
Ex: APPL

country

Country (ISO code) in which the securities are listed.
Ex: US

exchange

Name of the exchange in which the securities are listed.
Ex: NASDAQ

reporting date

Date for which the information has been publicly available in official disclosures.
Ex: 04.2020

Methodology

Datacie’s Greenhouse Gas Emissions data solution is built from all available data sources that contain ESG information on publicly listed companies, including self-reported filings, CSR reports, press releases, corporate websites & other corporate disclosures.
As a trusted data partner, Datacie is committed to delivering competitive and error-free data products to its clients. To this end, we are leveraging our proprietary data extraction technology to capture most of the reported carbon emissions from unstructured sources (websites, documents, media releases...) automatically. By construction, our technology predicts diverse quality indicators for each data point acquired; our ESG experts then review these quality indicators and carry thorough qualitative investigations of the extracted information, guaranteeing that our greenhouse gas emissions compilations are fully accurate and that no crucial items are missed.
After inception, the entire dataset is audited and evaluated for trustworthiness. Every data entry passes through hundreds of quality checks that automatically identify outliers and potentially misreported observations. Additional manual checks are performed on low-confident data points, ensuring that the final data product is free from poor-quality observations.
Note that the gross GHG emissions that have been reported in other units than per metric tons of CO2 equivalent (examples: metric tons of CO2 equivalent per ton of finished product (t/t FP) or metric tons of CO2 equivalent per Full-Time Employee) were standardized in metric tons of CO2 equivalent when a conversion rule was disclosed or when conversion factors exist; otherwise, they were discarded from the dataset to ensure comparability across time and entities.
The dataset is currently available as reported. Datacie is working on a machine learning-based augmentation process to statistically approximate carbon emissions for non-reporting companies and for companies who have reported a total GHG figure in their filings. Based on hundreds of fundamental & sectorial indicators, our standardization methodology focuses on understandability to provide a fully explainable answer to how each approximation is computed. More details about the standardized dataset will be provided on this page in the future.

Status & Delivery

The Greenhouse Gas Emissions dataset is currently being compiled and prepared for our clients’ preferred usage; additional coverage (temporal and company-wise) and existing/new columns can be modified/added on demand. Contact us and be among the first to benefit from this data solution to inform your climate-related decisions with the highest quality, cost-effective data of the market.

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Datacie is an information company specializing in Document Intelligence that provides unique, actionable and fully customizable datasets to financial institutions, global corporations and non-profit organizations. Our mission is to empower research and decision-making by democratizing access to high-quality, professional-graded datasets directly built from the world's most trusted content sources.

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