The　segregation-crime　relationship　is　a　classic　topic　in　sociology　and　crime　geography,　yet　existing　literature　mainly　focuses　on　the　impact　of　racial　segregation　at　the　global　scale.　Little　is　known　about　the　impact　of　local　segregation　of　other　socioeconomic　characteristics　such　as　education　level,　an　important　segregation　factor　for　racially　homogenous　countries　like　China.　Also　unknown　is　their　impact　beyond　the　residential　domain.　Using　the　Baidu　Map　Location-Based　Service　population　data　set　and　court　records　in　863　local　geographic　units　of　the　central　urban　area　of　Beijing　during　2018　and　2019,　this　study　uncovers　the　spatial　pattern　of　segregation　between　people　with　and　without　a　bachelor＇s　degree　measured　in　the　residential　space　and　activity　space　and　further　investigates　the　influence　of　these　two　types　of　educational　segregation　and　their　interaction　effects　with　social　context　on　theft　and　violent　crime.　Results　show　less　segregation　in　the　activity　space　than　in　the　residential　space.　Both　types　of　segregation,　however,　significantly　increase　the　risk　of　theft　and　violence,　with　activity　space-based　segregation　more　consequential.　Moreover,　the　positive　segregation-crime　link　is　moderated　by　the　local　social　context　measured　by　the　educational　composition　among　residents　and　the　ambient　population.　Compared　with　residential　segregation,　activity　space-based　segregation　is　more　detrimental　for　places　dominated　by　the　less　educated.　Our　results　highlight　the　elevated　influence　of　segregation　on　safety　beyond　the　residential　space,　especially　for　areas　clustered　with　the　less　educated　ambient　population.