Reducing　carbon　emissions　in　cities　is　crucial　for　addressing　climate　change,　while　the　city-level　emissions　of　different　compositions　and　their　relationships　with　socio-economic　features　remain　largely　unknown　in　China.　Here,　we　explored　the　city-level　emission　pattern　from　the　industrial,　transportation,　and　household　sectors　and　the　emission　intensity,　as　well　as　their　associations　with　socio-economic　features　in　China,　using　the　up-to-date　(2020)　CO2　emissions　based　on　0.1°　grid　(10　×　10　km)　emission　data.　The　results　show　that:　(1)　CO2　emissions　from　the　industrial　sector　were　considerably　dominant　(78%),　followed　by　indirect　(10%),　transportation　(8%),　and　household　(2%)　emissions　on　the　national　scale;　(2)　combining　total　emissions　with　emission　intensity,　high　emission–high　intensity　cities,　which　are　the　most　noteworthy　regions,　were　concentrated　in　the　North,　while　low　emission–low　intensity　types　mainly　occurred　in　the　South-West;　(3)　cities　with　a　higher　GDP　tend　to　emit　more　CO2,　while　higher-income　cities　tend　to　emit　less　CO2,　especially　from　the　household　sector.　Cities　with　a　developed　economy,　as　indicated　by　GDP　and　income,　would　have　low　emissions　per　GDP,　representing　a　high　emission　efficiency.　Reducing　the　proportion　of　the　secondary　sector　of　the　economy　could　significantly　decrease　CO2　emissions,　especially　for　industrial　cities.　Therefore,　the　carbon　reduction　policy　in　China　should　focus　on　the　industrial　cities　in　the　North　with　high　emission–high　intensity　performance.　Increasing　the　income　and　proportion　of　the　tertiary　industry　and　encouraging　compact　cities　can　effectively　reduce　the　total　emissions　during　the　economic　development　and　urbanization　process.　©　2022　by　the　authors.