China＇s　staple　crops　face　heavy　metal　(HMs)　contamination,　a　widespread　issue　lacking　a　national　assessment.　We　used　machine　learning　(ML)　to　assess　risks　of　8　HMs　in　rice,　wheat,　and　maize,　and　estimated　a　financing　strategy　for　soil　remediation　via　linear　optimization　and　computable　general　equilibrium　(CGE).　The　accumulation　of　HMs　in　crops　depends　on　Soil-HMs,　climate,　soil　properties,　and　crop　types.　Cd　and　Hg　pose　major　soil　pollution　risks,　while　Cr,　Pb,　and　Cd　are　the　most　threatening　in　crops.　High-risk　zones　are　located　at　the　warm　temperature　and　subtropical　zones,　with　wheat　most　vulnerable.　Over　a　quarter　(26.77　%)　of　the　nation＇s　croplands　are　classified　as　high-risk,　with　a　significant　60.89　%　falling　into　the　medium-risk　category,　leaving　merely　12.34　%　of　the　agricultural　land　in　a　safe　condition.　The　estimated　remediation　cost　is　58596.73　billion