LNG Supply and Demand

**Overview** The LNG Supply and Demand dataset provides access to historical and forecast data on global key LNG markets on a monthly basis. This dataset includes our forecasts, as well as our LNG supply and demand balances. Leverage this dataset to compare LNG current and historical supply and demand forecasts, track recent forecast trends, and track the performance of your internal models and forecasts against a trusted and transparent third-party provider. This dataset includes: - Supply Data: We model production at the facility level based on our view of upstream conditions and market needs - Demand Data: We leverage advanced modelling of various sectors such as power generation, industry, and transportation **Use cases** - Fundamental Analysis - Incorporate our monthly-updated LNG supply and demand outlooks into your regional and global gas models - Demand Forecasting - LNG demand forecasts are developed utilizing models across diverse sectors including power generation, industry, and transportation - Market Analysis - The LNG Supply and Demand Forecast offers historical data and forecast for key global LNG markets with monthly detail **Product details** Sample Tables: A ) DEMAND_FORECAST_CURRENT B ) SUPPLY_FORECAST_CURRENT Sample Fields: A ) DEMAND_FORECAST_CURRENT - IMPORTMARKET - MONTH - DEMANDMILLIONMETRICTONS - POINTINTIMEMONTH - MODIFIEDDATE B ) SUPPLY_FORECAST_CURRENT - EXPORTPROJECT - EXPORTMARKET - MONTH - DELIVEREDSUPPLYMILLIONMETRICTONS - POINTINTIMEMONTH - MODIFIEDDATE Views Descriptions: - DEMAND_FORECAST_CURRENT - Provides our latest demand forecast, market by market, in monthly granularity - DEMAND_FORECAST_HISTORY - Provides all of our demand forecasts, segmented by point in time month - SUPPLY_FORECAST_CURRENT - Provides our latest supply forecast, project by project, in monthly granularity - SUPPLY_FORECAST_HISTORY - Provides all of our supply forecasts, segmented by point in time month - LNGANALYTICS_DICTIONARY - Contains descriptions and examples of each of the columns in the above views for a better understanding of the dataset