Abstract: In order to study the characteristics and influencing factors of urban household carbon emissions, this study investigates China's urban household carbon emissions from 2006 to 2015 at the national and provincial level (excluding Hong Kong, Ma Cao, Taiwan and Tibet Autonnomous Region) by the Logarithmic Mean Divisia Index (LMDI) method. The urban household carbon emissions are divided into five effects:household energy consumption structure, household energy intensity, consumption tendency, the per capita disposable income and the urban population size. The regional difference of each effect and the contribution degree are also analyzed. In addition, based on the result of LMDI model, Q-clustering analysis is carried out for 30 provinces, autonomous regions and municipalities in China. The results show that the per capita disposable income and the urban population size increase urban household carbon emissions at the national level, while the energy consumption structure, household energy intensity and consumption tendency inhibit the growth of household carbon emissions. Among them, the per capita disposable income is the main affecting factor. From the provincial level, the per capita disposable income and the urban population size have a positive impact on urban household carbon emissions. The effects of energy structure, household energy intensity and consumption tendency on the household carbon emission reflect significant differences between provinces, autonomous regions and municipalities. Therefore, the government should guide the reasonable growth of urban population and actively formulate corresponding policies to optimize the structure of residential energy consumption. In terms of formulating carbon emission reduction strategies, the government should combine the surface features of provincial household carbon emissions with its potential driving factors and implement the corresponding carbon emission reduction policy according to different regions. Besides, it is suggested to adjust the reduction policy in a timely manner to cope with different development stages.