In　this　paper,　the　authors　explore　the　evolution　tendency　of　China＇s　urban　regional　haze　pollution　level　based　on　the　PM2.5　data　2013-2015.　The　ESDA　method　is　used　to　analyze　the　spatial　correlation　characteristics　of　haze　pollution　from　the　global　and　local　perspectives.　The　results　show　that　there　exist　obvious　spatial　agglomeration　features,　namely　obvious　spatial　autocorrelation　features　of　China＇s　urban　regional　haze　pollution　2013-2015.　The　“high-high”　aggregated　distribution　mainly　appears　at　North　and　Central　China,　and　the　“low-low”　and　“low-high”　aggregated　distributions　appear　at　the　coastal　regions　of　South　China　and　West　China.　Specifically　speaking,　urban　regions　displaying　“high-high”　type　of　features　in　2015　included　30　urban　regions.　They　represented　the　clustering　urban　regions　with　a　relatively　high　haze　pollution　level　and　were　the　central　areas　playing　the　clustering　effect.　Besides,　they　were　the　“highland”　of　haze　pollution　level　across　the　country,　showing　a　“high-high”　spatial　correlation　with　neighboring　regions.