Carbon emissions from household consumption are an important component of China's total carbon emissions and have become the main driving force for the growth of carbon emissions. Studying the characteristics and influencing factors of household carbon emissions from the perspective of consumption is of great significance for household carbon emissions reduction and low-carbon community construction. The carbon emissions coefficient method and consumer lifestyle analysis were used in this paper to calculate the monthly average carbon emissions of five typical community households in Beijing. Through the optimal scale regression and multiple comparative analysis, we explored the influencing factors of carbon emissions of households in different communities. The results showed that there were significant differences in the total amount and composition of monthly carbon emissions among the five communities in Beijing, and the influencing factors of monthly carbon emissions among the five communities are inconsistent. (1) The bungalow community has higher direct carbon emissions than other communities, reaching 732.26 kgCO₂/month and coal-fired heating being a main factor. The direct carbon emission of unit community, policy housing community, and commercial housing community households is low with about 50.00 kgCO₂/month. The family type significantly affects the direct carbon emissions in each community household, as well as the active participation of households in energy conservation and environmental protection activities is conducive to reducing household direct carbon emissions; (2) The highest indirect carbon emission of households is commercial housing community, which is 3879.06 kgCO₂/month, and the lowest carbon dioxide emission of bungalow community is 1076.66 kgCO₂/month, indirect carbon emissions are the mainstay of carbon emissions from household consumption. Food and residential indirect carbon emissions are the two highest proportions of total indirect carbon emissions, and the elderly community households have higher carbon emissions from health care consumption; (3) Family type and total monthly income have significant impact on indirect carbon emissions of all community households, while the differences in the influence extent of such factors as the satisfaction of community environmental protection work, community environmental satisfaction, family participation in energy conservation and environmental protection activities, and the service life of durable goods were identified. In the Hutong community and the bungalow community, highly educated families have higher indirect carbon emissions and need to be actively instilled in the concept of low-carbon environmental protection. Our research further analyzed the extent and variation of the corresponding household carbon emissions at different levels, so as to help community managers identify high-carbon households and provide new ideas for community low-carbon management.