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Synthetic ESG & Financial Indicators Dataset
Synthetic Data Generation
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Free
About
Simulated data explores the relationship between corporate Environmental, Social, and Governance (ESG) scores and financial performance. This synthetic dataset covers 1,000 global companies across nine industries and seven regions, with annual data points from 2015 to 2025. It includes key financial metrics like revenue and market capitalisation alongside detailed ESG indicators, making it valuable for analysing how sustainability practices may correlate with financial outcomes. Because the data is synthetic, it can be used freely for machine learning models without privacy concerns.
Columns
- CompanyID: A unique numerical identifier for each company.
- CompanyName: The synthetic name assigned to a company (e.g., "Company_123").
- Industry: The business sector the company operates in, such as Technology, Finance, or Energy.
- Region: The geographic location of the company, for example, North America or Europe.
- Year: The reporting year for the data, ranging from 2015 to 2025.
- Revenue: The company's annual revenue, measured in millions of US dollars.
- ProfitMargin: The net profit margin, expressed as a percentage of revenue.
- MarketCap: The company's market capitalisation in millions of US dollars.
- GrowthRate: The year-over-year percentage growth rate of revenue. Note: This field is not available for the year 2015.
- ESG_Overall: The aggregate sustainability score for the company, on a scale of 0 to 100.
- ESG_Environmental: The score for the company's environmental sustainability performance (0–100).
- ESG_Social: The score reflecting the company's social responsibility performance (0–100).
- ESG_Governance: The score for the quality of the company's corporate governance (0–100).
- CarbonEmissions: The total annual carbon emissions measured in tons of CO₂.
- WaterUsage: The total annual water consumption in cubic meters.
- EnergyConsumption: The total annual energy usage in megawatt-hours (MWh).
Distribution
- Format: CSV file.
- Size: 1.23 MB.
- Structure: The dataset contains 11,000 rows and 16 columns.
Usage
- Machine Learning: Ideal for benchmarking regression, classification, and clustering algorithms.
- Financial Modelling: Suitable for building financial forecasting and company valuation models.
- Sustainable Investing: Can be used to explore relationships between ESG factors and financial metrics to develop investment strategies.
- Risk Analysis: Supports corporate risk analysis by linking sustainability metrics to performance.
- Time-Series Analysis: Can be used to forecast financial growth and ESG trends over time.
Coverage
- Geographic: Covers 1,000 synthetic companies located across seven global regions, including North America, Europe, and Asia.
- Time Range: Includes annual data spanning from 2015 to 2025.
- Demographic: Represents companies from nine different industry sectors.
License
Attribution 4.0 International (CC BY 4.0)
Who Can Use It
- Data Scientists: For developing and testing predictive models related to financial performance or ESG scores.
- Financial Analysts: For conducting sustainability impact studies and simulating investment strategies.
- Academic Researchers: For exploring the intersection of corporate finance and sustainability.
- ESG Strategists: For analysing industry-wide trends in environmental, social, and governance metrics.
Dataset Name Suggestions
- Corporate ESG and Financial Performance Metrics
- Global Company Sustainability & Finance Data
- Synthetic ESG & Financial Indicators Dataset
- Annual Corporate Performance and ESG Scores
- Simulated Financial and Sustainability Data
Attributes
Original Data Source: Synthetic ESG & Financial Indicators Dataset
QUALITY