As　a　fundamental　service　in　mobile　cloud　computing,　range　query　has　attracted　extensive　attention.　But　the　existing　secure　range　query　schemes　not　only　leak　data　privacy　but　also　have　low　query　efficiency.　To　address　those　issues,　we　first　design　a　novel　range-matched　code　to　convert　the　range　query　into　code　set　matching,　which　aims　to　hide　the　order　relationship　of　outsourced　data　as　well　as　the　index　of　most　significant　different　bit.　Based　on　the　designed　range-matched　code,　we　propose　a　Practical　and　Less　Leakage　Range　Query　scheme　over　encrypted　mobile　cloud　data　(PLRQ)　by　integrating　XOR　filter　and　multiset　hash　function.　Security　analysis　shows　that　PLRQ　achieves　semantic　security　and　avoids　data　privacy　leakage.　Extensive　experiments　using　real　datasets　demonstrate　that,　compared　with　two　state-of-the-art　solutions-RngMatch　and　LSRQ,　our　proposed　PLRQ　improves　the　query　efficiency　both　by　2　orders　of　magnitude,　and　reduces　the　storage　cost　on　Cloud　Service　Provider　by　about　79.5%　and　73.6%　respectively.