Unlike the traditional opinion of ″higher the financial inclusion index, the better,″ this thesis makes an empirical analysis using the data of 28,143 households collected by the CHFS (China Household Finance Survey). Agricultural loans, business loans, house loans and auto loans are studied separately and they reveal that bank inclusiveness covers many aspects, including insufficient demand, potential demand, supply exclusion, mismatch of supply-demand and the equilibrium of supply-demand; moreover, both insufficient supply and insufficient demand are the very two causes of financial exclusion. One the one hand, the percentage of the households surveyed which clearly stated ″We don't need agricultural loans, business loans, house loans and auto loans″ are 78.10%, 79.79%, 77.52% and 89.75% respectively. On the other hand, in the developed parts in Eastern China, the supply-side refusal is not a serious issue while ″not need″ and ″not apply″ are the root causes of invalid demand and high financial exclusion index there. Only under the condition of the equilibrium of supply and demand can the regional financial inclusion index become most objective and useful and the paradox of the coexistence of high financial exclusion index and high financial overall competitiveness be avoided. Financial inclusion is a dynamic, complex and multi-dimensional concept. However, post hoc analysis or common analysis not only leads easily to the vulnerability of the research results, but also is difficult to meet the needs of diversified perspectives. Financial inclusion involves many layers and their affecting factors play different roles at different levels on different bank loans. As the variables of household financial inclusion, family characteristics and regional features have a wide range of influences and impacts on various types of bank inclusions, so only personalized and detailed studies could give insight into the marginal contributions of all elements to diverse financial inclusions. Empirical research shows changes of rrr (Relative Risk Ratio), which reflects the relative fluctuations of the supply and demand of funds. Furthermore, the mainstream financial institutions should not only make full use of big data and block chain technology and cooperate with internet enterprises in order to gain a niche in the competitive market, but also closely embrace the community and the consumers to get a good understanding of the characteristics and special requirements of individuals, which is surely helpful to the implementation of targeted marketing. In a word, demand side and supply side complement each other and greatly contribute to the improvement of household financial inclusion by adopting the so-called ″precise″ principles. The innovations of this research are as follows： （1) The optimal demand inclusion index may not be equal to the optimal supply level of financial inclusion, so we should study financial inclusion from the two angles of demand-side and supply-side, which provide applicable and feasible perspectives to explore different external performances and internal incentives of financial inclusion and lay a sound foundation in locking in supply and demand matching solutions. （2) In view of related studies in China which focus on the national or regional level, we expand our studies to micro households. We find that micro and macro financial inclusions are different, active and passive financial exclusions are different, and that the inclusive financial system doesn't mean universal finance for everyone everywhere. We should prevent the ″index-only theory″ and ″decomposition fallacy″ and bear in mind that the inclusive financial system doesn't mean advocating financial start-ups without prudent evaluations and it isn't a synonym for charity finance. Last but not least, the financial capacity of each family should be emphasized. Under the circumstances of information symmetry and through adequate comparison of cost-revenue analysis, any decision of choices and allocations of household assets made by independent, capable and rational individuals should be viewed as a sensible and right decision and the process is also known as full financial inclusion scope. （3) It is vital to combine ″big data″ and ″thick data″ in order to supplement our on-going research and household finance will become one of the important dimensions of financial inclusion from the national and regional perspectives. Most important of all, analysis on household financial inclusion of demand side and supply side expands the discipline of financial geography either in a narrow or broad sense. Moreover, analysis on household financial inclusion is both an organic part of and enriches case studies of financial geography which is a frontier discipline and an important part of household finance.