Socio-economic statistics has its own independent thinking form and research characteristics when studying the quantity of socio-economic phenomena. The performance is as follows:

First, quantification, the most basic research feature of socio-economic statistics is to use numbers as the language and speak with numbers.

Second, totality, totality is also called popularity or comprehensiveness. The focus of statistical research is a large number of social and economic phenomena as a whole, rather than a few or individual phenomena. Through the observation of a large number of individual things, it has rich materials, analyzes and synthesizes them, reflects the quantitative characteristics of phenomena as a whole, and reveals the essence and regularity of phenomena.

Third, sociality, socio-economic statistics can understand the conditions, processes and results of human social activities by studying the overall quantity of a large number of socio-economic phenomena, and reflect social relations such as possession, distribution and exchange of material materials.

Fourth, variability, also known as difference. The statistical study of the population quantitative characteristics of similar phenomena is based on the premise that there are differences in the characteristics of all units in the population, and these differences are not given in advance by some fixed reason.

5. Specificity: The total amount of statistical research is limited by specific time, specific place and specific conditions.

Although statistical work is to study specific quantities, to carry out complex quantitative analysis, we must rely on abstract mathematical models and mathematical statistics methods and follow certain mathematical laws. Taking abstract method as the means and concrete quantity as the purpose, it embodies the dialectical relationship between concrete and abstract in statistical research.