Organizations and Investors do not yet have access to a multi-dimensional global data solution at Ground-Level to aid them in accurately mapping and assessing Spatial Level Risks and factoring this into operational, logistical, and investment processes. Spatial Risk Systems (SRS) has engineered a massive cloud-based data network connecting and standardizing fact-based spatial-level data sources into a single publishing solution. Spatial Risk Scores measures and quantifies hundreds of location-specific factors that can have a long-term effect on asset value, environmental impact, operational effectiveness, and social sustainability. Data is being published for 10 Different Spatial Layers: Census Tract Postal Code City School District County Congressional District State Core-Based Statistical Areas (CBSA) Corporate Municipal Revenue Authorities Five Major Data Dimensions: 1) Climate 18 Natural Disaster Risks Expected Annual Losses (EAL) 1.5 million+ Weather Events and Impacts 2) Environmental Scope I Carbon Emissions Toxic Releases Air and Water Quality Measures 3) Socio-Economic Community Vulnerability-Related Factors Community Resiliency-Related Factors 4) Carbon Emissions/Accounting Scope I Scope II Social Costs of Carbon 5) Facility Location, Function, and Ownership Scope 1 (direct) emissions are an immediate product of entity activities such as energy generated by burning fossil or other organic fuels, fuels used for transportation, cement production, etc. Scope 2 emissions (indirect) result from energy consumption, heating and cooling, food preparation, and other needs.