This paper uses Dagum Gini coefficient, kernel density nonparametric estimation, Markov chain analysis and other methods to analyze the regional differences and dynamic evolution of China's primary health manpower resource allocation, which provides a basis for optimizing China's primary health manpower resource allocation. The results showed that between 2012 and 2021, the level of primary health human resources allocation in China generally showed an upward trend, with the highest average annual growth rate in the western region (2.70%) and the lowest in the central region (1.78%); Dagum Gini coefficient of primary health human resources is generally on a downward trend, and the intra-regional, inter-regional and hypervariable density contribution rates together affect the equity of primary health human resources. The kernel density map of the central and western regions is basically consistent with the dynamic evolution characteristics of the distribution location, shape, and extensibility of the whole country, while the central region shows significantly different characteristics; the results of the Markov chain analysis show that China's human resources for health have stability. It is concluded that the level of allocation of primary health human resources in China is generally on an upward trend, with differences between regions; the fairness of the allocation of primary health human resources is high, showing a sustained positive trend; and the construction of primary health care human resources team should both look at the long term and take into account the present.