The Weather Source dataset offers a single source of truth for hyper-local weather and climate data in daily and hourly observations, and statistical averages and medians for over 5.7 million locations worldwide. All data is globally uniform and shares common schema and headers, allowing for easy and immediate analysis.

In the U.S. alone, weather accounts for more than $600 billion a year in lost revenue. By leveraging Weather Source weather and climate data combined with S&P Global data, you can quantify weather-related risks and trends that impact your portfolio, build parametric asset valuation models, or identify impacts on global supply chains.

This dataset includes:

• Global weather data organized by Postal Code, including all 40,000+ U.S. ZIP Codes and more than 5.7+ million international Postal Codes
• Daily and hourly historical data back to 2000 for international Postal Codes and 2007 for U.S. ZIP Codes
• Daily and hourly forecasts out up to 15 days
• Climatology data that includes mean and standard deviations of weather for any ZIP or Postal Code at any point in time