Long-term　climate　change　has　amplified　the　frequency　of　extreme　climate　events,　such　as　intense　short-duration　heavy　rainfall,　which　has　increased　the　risk　of　urban　waterlogging.　The　severe　economic　losses　that　result　warrant　serious　attention,　but　accurately　quantifying　such　economic　losses　remains　a　significant　challenge.　In　this　study,　a　climate　change-adapted　economic　loss　evaluation　framework　is　established　for　urban　waterlogging　using　a　hydraulic　model　with　coupled　model　intercomparison　project　phase　6　(CMIP6)　scenarios.　Choosing　Beijing　as　a　case　study,　based　on　shared　socioeconomic　pathways　(SSP)　and　representative　concentration　pathways　(RCP),　we　formulate　three　future　climate　scenarios　(SSP2-RCP4.5,　SSP3-RCP7.0,　and　SSP5-RCP8.5)　using　CMIP6　data.　Next,　we　simulate　the　urban　waterlogging　risk　under　each　climate　scenario　with　four　return　period　subscenarios　employing　the　InfoWorks　integrated　catchment　management　(InfoWorks　ICM)　model.　We　develop　waterlogging　loss　rate　functions　for　four　distinct　land-use　types　in　Beijing.　Finally,　we　quantify　the　waterlogging　losses　caused　by　climate　change　in　Beijing.　We　find　that　urban　waterlogging　impacts　an　extensive　area　of　199　million　m(2),　or　26.05%　of　the　study　region,　and　causes　maximum　economic　losses　estimated　at　29.78　billion　yuan　for　a　100　year　recurrence　period　under　the　SSP5-RCP8.5　scenario.　The　largest　economic　losses　are　observed　for　residential　land　use,　closely　followed　by　commercial　land　use.　By　offering　a　method　of　quantifying　the　urban　waterlogging　economic　losses　arising　from　climate　change,　this　study　aids　the　implementation　of　effective　urban　waterlogging　risk-management　strategies.