https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F8734253%2F84d76e9b100f0eaee4b913d74c0aab45%2FScreenshot%202024-03-10%20at%203.46.10PM.png?generation=1710099996246003&alt=media" alt=""> Caption: Visualization of Microsoft (MSFT) ESG Data

Dataset Overview

This dataset contains ESG (Environmental, Social, and Governance) scores and ratings for a large number of publicly traded companies across various industries. The data is provided at a company level, with each row representing one company.

The key fields include: - Basic company information: ticker symbol, company name, currency, exchange, industry, logo URL, website URL - Environmental scores and rating: environment_score, environment_grade, environment_level - Social scores and rating: social_score, social_grade, social_level - Governance scores and rating: governance_score, governance_grade, governance_level - Overall ESG scores and rating: total_score, total_grade, total_level - Last processing date of the ESG data - CIK identifier

The environmental, social, governance and total scores are numeric values, while the corresponding grades are letter ratings (like AAA, BB etc.) and levels are categorical (like High, Medium, Low).

This dataset can be analyzed to understand the distribution of ESG scores and ratings across different companies, sectors and industries. It could be combined with financial datasets to explore relationships between ESG performance and key metrics like profitability, valuation, and stock returns. The data can provide valuable insights for investors, asset managers, financial analysts, corporate strategists, policymakers and sustainability researchers.

By sharing this data publicly, the provider likely aims to bring greater transparency to corporate ESG practices, enable better integration of ESG considerations into investment decisions, and create incentives for companies to improve their ESG performance over time. Wide availability of robust ESG data is critical to driving progress on major societal goals like combating climate change and enhancing social equity.

See ESG Compare (http://esgcompare.org) for an interactive demo!

Comprehensive database of ESG ratings and sustainability metrics for 1,200+ global companies including Fortune 500. Coverage indicators for Environmental, Social, and Governance factors.

The World Bank's ESG Data Draft dataset provides information on 17 key sustainability themes spanning environmental, social, and governance categories. In order to shift financial flows so that they are better aligned with global goals, the World Bank Group (WBG) is working to provide financial markets with improved data and analytics that shed light on countries’ sustainability performance. Along with new information and tools, the World Bank will also develop research on the correlation between countries’ sustainability performance and the risk and return profiles of relevant investments.

ESG risk ratings and scores as well as business and product involvement information and controversies on companies and sovereigns are widely used by asset and wealth managers. This data package corresponds to the Company ESG Level 1 dataset from Sustainalytics. This information supports our clients in considering ESG aspects in investment decisions, monitoring sustainability risks of investment portfolios and reporting on ESG aspects to investors.

Dataset

This dataset was created by VINAY CHAKRAVARTHI

Released under Apache 2.0

Contents

Unlike traditional ESG data sets that are focused on annual ratings and periodic corporate disclosure, Event Registry monitors company ESG behavior at the speed of current events detected in global news. We utilize AI to analyze over 150,000 sources and uncover ESG risks and opportunities hidden in unstructured news and PR articles. We identify company events leveraging the 26 ESG categories defined by the Sustainability Accounting Standards Board (SASB) and 17 Sustainable Development Goals (SDGs). The data feed covers 200.000+ companies with up to 5 years of history.

This dataset is used to evaluate bias by ESG rating agencies and how their methodologies can translate to the valuation of companies. For example larger companies tend to have higher ESG ratings, which in turn will increase their stock prices however this gives ESG rating agencies unchecked power to influence financial markets based on how they manipulate or formulate their ratings.

As of 2024, Sustainalytics was the third most popular source for Environmental, Social, and Governance (ESG) data among institutional investors. Bloomberg ranked second, with ** percent of survey respondents stating they used this source for ESG data. MSCI was the leading source among institutional investors surveyed, with ** percent of investors having a preference for this source.

The largest socially responsible investing (SRI) and/or environmental, social, and governance (ESG) portfolio analysis services used by advisory firms worldwide in 2025 was Morningstar ESG Data, with a market share of around *** percent. None of the other SRI/ESG portfolio analysis services had a market share above *** percent.

Explore key facts about our ESG offerings, covering everything from core data to climate metrics and sustainable bonds.

ESG data is used as a basis for sound investment and financial decisions. It includes metrics related to Environmental-Social-Governance topics. The data is used to measure the progress of companies (and governments) towards sustainability goals such as greenhouse gas emissions, human rights, and board ethics to name just a few.

**The most successful companies use ESG as a key component of their business strategies. **Why? It can increase access to capital, help with efficiencies and innovation, improve talent acquisition and retention,and ensure compliance with regulations.

What is the relation of ESG to stock market data? ESG performance is used by analysts, financial institutions, investors, and more to identify how risky an investment might be. Companies with low ESG scores compared to their industry peers are increasingly considered to be riskier investments.

This dataset includes ESG scores from 3 well-known providers: MSCI, S&P Global, and Sustainalytics. It also includes scores from a company called ESGAnalytics.io that uses AI to detect ESG "signals" from press releases, media, etc. and then produces a real-time ESG score based on that "sentiment analysis." The ESG scores from the other 3 providers are generally updated annually.

The datasets also include key ratios used to analyze a stock's value: Price-to-book (P/B), price-to-earnings (P/E), Price-to-earnings-growth (PEG), and debt-to-equity. The stock market data was extracted from Finazon.io and Yahoo Finance the last week of June 2024.

**Similar datasets, including datasets for S&P 500 companies and for all 11 GICS (Global Industry Classification Standard) sectors are available at esgdatashop.io. **

There is an increasing demand for high quality ESG data on funds, whether for information purposes, to manage sustainability risk or to respond to clients' desire to support sustainable investments. The MSCI ESG Fund Metrics package supports clients in addressing their needs for considering ESG aspects when investing in funds since it is designed to provide greater transparency and understanding of ESG characteristics on fund and ETF components in investor portfolios. This package is somewhat similar to the ESG Core MSCI package but provides fund level data instead of company related data.

This dataset provides a detailed overview of the Environmental, Social, and Governance (ESG) performance of the top 50 companies listed on the National Stock Exchange of India (NSE). It includes essential metrics such as ESG risk scores, controversy levels, and sectoral breakdowns. Ideal for investors, researchers, and policymakers seeking to understand the sustainability landscape of India's corporate giants.

Our impact valuation data allows investors to measure, value and benchmark impacts of business activities across Natural, Human and Financial Capital KPIs.

Presented in the form of economic values, GIST's approach gives investors a common yardstick by which to understand materiality fully and accurately, so that they can manage risks, identify hidden alpha, and make informed decisions to stay ahead of the curve.

Investors can use our ESG data to screen potential investments, manage and track ESG performance across their portfolios, and clearly communicate materiality across all ESG dimensions.

Why use GIST's impact valuation data?

1. Measure all impacts of a company on shareholders and society - not just carbon / environmental impacts GIST calculates a company's impact across all four capitals - Natural, Human, Social and Financial, covering 18 main KPIs and 350+ sub-KPIs. Analysts are looking for as much data as possible on hidden alpha - and GIST provides coverage across all material impacts of a company's activities that might present a future risk - or an opportunity.

2. Compare easily across different metrics GIST uses scientific and economic modelling to provide accurate calculations of the impacts of a company in economic terms - providing a $ value of the impact on stakeholders and society. Analysts find themselves trying to make sense of fundamentally different metrics - parts per million of air pollution, tonnes of GHG emissions, gallons of water consumed, m2 land use change. GIST allows apples-to-apples comparison by converting all these different impacts into $ values (which are geography-specific), so you can understand the relative size of a company's air pollution impacts against its water consumption impacts, for example.

3. Benchmark performance across a portfolio, and within and across sectors Most sustainability scores, ratings and rankings evaluate companies within their sectors. This creates artificial distinctions and makes it difficult for analysts to measure how a company is performing in absolute terms (compared to relative grading). GIST calculates absolute impact, measured in $ values, to provide a simple, straightforward analysis that can be applied within sectors, and across sectors, to compare all the companies in a portfolio against each other accurately and make informed decisions.

4. Identify and manage material risks More traditional views of ‘risk’ have typically focused on the direct risk to a company’s P&L, and its ‘produced’ or ‘financial’ capital. These are risks that come from environmental dependencies (e.g. logistics companies threatened by storms/cyclones, agricultural companies threatened by crop failure, etc.) GIST takes a broader view and also measure risks that come from impacts of a company - not just what affects a company’s P&L directly, but what affects assets of society (natural, social, human capital) and is therefore an externality at risk of eventually being internalized - through regulation or otherwise. Assets in the oil and gas industry that have been a stranded as a result of regulatory and legal action are a good example of this risk becoming reality.

5. Understand how impact changes based on location GIST uses a granular, location-specific approach which means that with location data for activities (e.g., air pollution, waste), we can calculate the impact on shareholders and society based on local context - environmental, ecological, health, socioeconomic and demographic, so we can make more accurate estimates for example for a city in Ghana vs. a city in Sweden. As disclosure is expected to increase dramatically in the next 2 years, GIST's methodology is equipped with a level of resolution that can provide insights that are constantly increasing in precision.

There is an increasing demand for high quality data on the 17 UN Sustainable Development Goals to report to clients, or to address clients' demands to support investments aligned with these goals. SIX offers the MSCI SDG/Impact Data, which is designed to provide a holistic view of companies’ net contribution, both positive and negative, towards addressing each of the 17 UN Sustainable Development Goals (SDGs), and to support clients' unique impact investing goals and priorities.

ESG Data Platform Market Outlook

According to our latest research, the global ESG Data Platform market size reached USD 3.2 billion in 2024, reflecting its rapid adoption across industries. The market is projected to grow at a robust CAGR of 15.7% from 2025 to 2033, with the total market value expected to reach USD 11.1 billion by 2033. This significant growth is primarily driven by the increasing demand for transparent and comprehensive ESG (Environmental, Social, and Governance) reporting, as organizations worldwide strive to comply with evolving regulations and meet stakeholder expectations for sustainability and responsible governance.

One of the primary growth factors fueling the ESG Data Platform market is the escalating regulatory pressure on organizations to disclose ESG-related data. Governments and regulatory bodies across North America, Europe, and Asia Pacific are mandating stricter ESG disclosure norms, compelling companies to integrate advanced data platforms for streamlined collection, management, and reporting of ESG metrics. Furthermore, institutional investors are increasingly prioritizing ESG criteria in their investment decisions, prompting companies to invest in robust ESG data platforms to enhance their transparency and improve investor relations. This trend is further amplified by the growing awareness among organizations that effective ESG management not only mitigates risk but also creates long-term value.

Another significant driver is the rapid digital transformation across industries, which has accelerated the adoption of cloud-based ESG data platforms. Organizations are leveraging advanced analytics, artificial intelligence, and automation to ensure accurate, real-time ESG data collection and analysis. The integration of these technologies enables seamless aggregation of data from disparate sources, empowering businesses to generate actionable insights for strategic decision-making. Additionally, the emergence of industry-specific ESG frameworks is fostering the development of tailored data platforms, further propelling market growth. Companies are increasingly recognizing that a robust ESG data infrastructure is essential for achieving sustainability goals, enhancing corporate reputation, and maintaining a competitive edge in the market.

The ESG Data Platform market is also experiencing expansion due to the rising demand for comprehensive risk and compliance management solutions. As organizations face mounting scrutiny from regulators, investors, and consumers, the ability to proactively identify and address ESG risks has become crucial. ESG data platforms facilitate the automation of compliance processes, reducing manual intervention and minimizing the risk of errors. Moreover, the integration of ESG data with enterprise risk management systems allows for holistic risk assessment, enabling organizations to respond promptly to emerging threats and opportunities. This convergence of ESG and risk management is expected to be a key growth catalyst for the market in the coming years.

With the increasing complexity of ESG requirements, organizations are turning to ESG Data and Analytics to gain deeper insights into their sustainability performance. These tools provide a comprehensive view of environmental, social, and governance metrics, allowing companies to identify areas for improvement and track progress over time. By leveraging advanced analytics, businesses can uncover patterns and trends in their ESG data, enabling them to make informed decisions that align with their sustainability goals. The integration of ESG Data and Analytics into corporate strategies is becoming essential for companies aiming to enhance transparency and accountability in their operations.

Regionally, North America remains at the forefront of ESG Data Platform adoption, driven by stringent regulatory frameworks and a mature ecosystem of ESG-conscious investors. Europe closely follows, with the European UnionÂ’s Sustainable Finance Disclosure Regulation (SFDR) and Corporate Sustainability Reporting Directive (CSRD) setting new benchmarks for ESG reporting. Asia Pacific is emerging as a high-growth region, fueled by increasing regulatory focus and a surge in sustainable investment activities. Latin America and the Middle East & Africa are witnessing steady adoption, supported by growing awareness and government in

It can be difficult finding timely ESG data for multiple companies at a time unless you pay for an expensive subscription. This dataset includes ESG ratings and stock market information for approximately 700 companies. When comparing ESG ratings, it's important to compare a company with their industry or sector peers rather than across industries. The reason is that there are different material issues and metrics that are considered more pertinent depending on the industry. For example, ESG ley issues and metrics for a railroad company will be different than for a bank).

This dataset includes companies that are categorized in the "Industrials" sector, per the Global Industry Classification System (GICs). It includes ESG ratings by 4 different ESG ratings providers, if that data is available for a particular company. It also includes stock market data pulled from the first week of April 2024 - that includes 52-week high and low prices, volume, etc.

Example of chart made using this dataset:

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F7790751%2F8bbc5b936efdf14d6b338678bd6466f7%2Ftrucking-april2024%20-%20Copy.png?generation=1714329261083713&alt=media" alt="">

Key columns and descriptors

Unique_id: the number used by ESGAnalytics to uniquely distinguish each company

Symbol: Stock symbol

Exchange: stock index where the company is listed (one company may be listed on multiple exchanges in the real world)

gicSector: sector classification (this is higher on the hierarchy than subindustry per the GIC

gicSubindustry: subindustry classification, the next level down in the GIC hierarchy

ESG ratings columns

Company_ESG_pulse: the main ESG ratings of this dataset; 1 is lowest investor risk and -1 means highest investor risk

ESG_beta: how much the pulse rating affects the stock market price of the company, per ESGAnalytics

SNP: the S&P Global ESG rating for the company (scale of 1-100 with 100 being the LOWEST investment risk)

Sustainalytics: the Sustainalytics ESG rating for a company with ratings 0-10 meaning negligible investment risk; 10-20 low risk; 20-30 medium risk; 30-40 high risk; 40+ severe risk

MSCI: the MSCI ESG rating for the company with ratings of CCC,B, BB meaning an industry laggard; BB, BBB, A meaning average; AA, AAA meaning industry leader

Update_data-ESG_scores: this is the date when the SNP, Sustainalytics, and MSCI scores were pulled; ESGAnalytics ratings were pulled April 2024 (as they are updated in real-time while the others are updated annually)

Stock market columns

Volume, Market Cap, 52w_highest price (52w means 52-week), 52w_lowest price, 52w_change price, 52w_average volumne were pulled the first week of April 2024.

For more details about the ESG ratings, please see my Medium post on ESG data providers.

The data is available via ESGAnalytics.io and Finazon.io use licenses (per my subscriptions with them).

Similar to others on kaggle who have shared ESG datasets, my objective is to help make ESG data more accessible and understandable so that more people are versed in what ESG is and how different companies rate.

Please let me know any comments or if there are other ESG-related datasets that you are interested in. Thank you!

The ESG Rating Services Market is booming, projected to reach $19.91 billion by 2033 at an 8.25% CAGR. Discover key market trends, leading companies, and regional insights in this comprehensive analysis of ESG ratings, data verification, and consulting services. Invest wisely in the future of sustainable finance. Recent developments include: February 2023: Asia-Pacific is now included in Intercontinental Exchange Inc.'s ESG Company Data. The business currently provides information on 16,000 businesses from 105 different nations. This expansion includes over 1.4 million corporate equities and fixed-income securities with high-quality, detailed data matched to them.December 2022: Morningstar Sustainalytics announced an expansion of its ESG risk ratings coverage to enable substantial ESG risk assessment across more asset classes and regions. The company's coverage universe now comprises more than 16,300 analyst-based ESG risk ratings for public stock, fixed-income, and privately held companies, representing a nearly 30% increase in comprehensive issuer ratings.. Key drivers for this market are: Increasing Demand for Ethical and Sustainable Investments, Steady Growth in Corporate Data Volumes. Potential restraints include: Increasing Demand for Ethical and Sustainable Investments, Steady Growth in Corporate Data Volumes. Notable trends are: The Growing Number of Technological Advancements is Driving the Market.

ESG Data Management Platforms Market by Offering (Hardware, Software, Services), Application (Environmental, Social, Governance, Supply Chain), Deployment Mode (Cloud, On-Premises, Hybrid), End-User Industry & Geography – Global Forecast 2025-2032

ESG Data and Analytics Market Outlook

According to our latest research, the global ESG Data and Analytics market size reached USD 3.8 billion in 2024, reflecting a robust expansion in response to growing regulatory and investor demand for transparent sustainability practices. The market is expected to grow at a CAGR of 18.6% during the forecast period, propelling the market to USD 13.6 billion by 2033. This strong growth is underpinned by increasing integration of environmental, social, and governance (ESG) considerations into core business strategies, with organizations worldwide seeking advanced analytics to manage ESG risks, ensure compliance, and demonstrate corporate responsibility.

A primary driver for the accelerating growth of the ESG Data and Analytics market is the escalating regulatory landscape. Governments and regulatory bodies across the globe are implementing stringent disclosure requirements and sustainability reporting mandates for corporations. These regulations compel organizations to capture, analyze, and report ESG metrics with greater accuracy and transparency. As a result, businesses are increasingly investing in advanced ESG analytics platforms and data solutions to meet compliance obligations, avoid penalties, and maintain stakeholder trust. This regulatory momentum is particularly pronounced in regions like Europe and North America, where ESG disclosure frameworks are rapidly evolving, thereby fueling market demand for sophisticated data management and analytics capabilities.

Another critical growth factor is the rising influence of ESG considerations on investment decisions. Institutional investors, asset managers, and private equity firms are prioritizing ESG performance as a key criterion for portfolio selection and risk assessment. The demand for high-quality, granular ESG data and actionable analytics has surged, as investors seek to identify value creation opportunities, mitigate long-term risks, and align with responsible investment principles. This trend is driving financial institutions and corporate issuers to adopt comprehensive ESG data solutions that enable benchmarking, scenario analysis, and performance tracking, further propelling the marketÂ’s expansion.

Technological advancements and digital transformation initiatives are also playing a pivotal role in the ESG Data and Analytics marketÂ’s growth trajectory. The integration of artificial intelligence, machine learning, and big data analytics is revolutionizing the way ESG data is collected, processed, and interpreted. These technologies enable real-time monitoring, predictive analytics, and automated reporting, significantly enhancing the accuracy and efficiency of ESG assessments. Companies are leveraging these innovations to gain deeper insights into their sustainability performance, identify emerging risks, and optimize resource allocation, thereby strengthening their competitive position in the market.

The integration of ESG Data Integration for Lending is becoming increasingly vital as financial institutions strive to incorporate sustainability into their lending practices. By embedding ESG criteria into lending decisions, banks and financial institutions can better assess the long-term risks and opportunities associated with their loan portfolios. This approach not only helps in mitigating potential environmental and social risks but also aligns lending practices with broader sustainability goals. As a result, lenders are able to enhance their reputation, meet regulatory expectations, and attract environmentally conscious investors. The growing emphasis on ESG considerations in lending is driving the development of specialized tools and frameworks that facilitate the seamless integration of ESG data into credit risk assessments and loan origination processes.

From a regional standpoint, North America and Europe continue to dominate the ESG Data and Analytics market, accounting for a significant share of global revenues. However, the Asia Pacific region is emerging as a high-growth market, driven by rapid industrialization, increasing foreign investment, and evolving regulatory frameworks. Latin America and the Middle East & Africa are also witnessing growing adoption, albeit at a slower pace, as multinational corporations and local enterprises recognize the strategic importance of ESG integration. This