The risk-based Hydrographic Health model improves past survey prioritization efforts by using modern datasets and analytical GIS tools. Scripting was used to build a repeatable and modular routine, incorporating likelihood and consequence criteria. This provides a data-driven approach for targeting areas of greatest hydrographic risk for modern surveys. Methods may be adapted by other resource-limited hydrographic offices to effectively deploy assets and ensure the greatest return on investment.