Spatial pattern analysis is an important method for studying population characteristics, interspecies relationships, as well as the relationships between population and environment. In the present paper, population characteristics of Quercus wutaishanica in natural secondary forest of Huanglong Mountain were investigated. One natural secondary forest plot (with area of 1 hm²) was selected and set up in each Q. wutaishanica-Pinus tabuliformis-Betula platyphylla natural secondary mixed forest and Q. wutaishanica natural secondary pure forest. The data and coordinates of each tree in the two plots were measured and recorded following the standards for plot investigation. Using the method of diameter class (instead of the age), we converted the classification of different growth stages of Q. wutaishanica into size classes for diameter at breast height (DBH) according to the static life table. Thus, Q. wutaishanica was divided into four different growth stages: the immature stage A, 3 cm ≤ DBH < 10 cm; mid-mature stage B, 10 cm ≤ DBH < 20 cm; near-mature stage C, 20 cm ≤ DBH < 30cm; mature and over-mature stage D, DBH ≥ 30 cm. The spatial pattern of Q. wutaishanica was analyzed through O-ring statistical means for each growth stage by using single variable method and the interconnectedness between the growth stages by bivariate-analysis method. The results showed the following: (1) The diameter structure of Q. wutaishanica in the two plots was in line with inverted "J" type, indicating that the natural regeneration in the two plots is better from the perspective of diameter class distribution. (2) There was a close relationship between the spatial pattern and the scale of Q. wutaishanica. It showed random distribution in the two selected plots at a large and medium scale and aggregated distribution at a small scale, especially at the scale of 0-6 m in plot I. (3) The spatial patterns differed at different growth stages, young trees exhibited aggregated distribution at a small scale, especially at the scale of 0-11 m in plot II. (4) The correlation between different growth stages was not identical in the plots. There was no significant correlation between different growth stages within plot I. The immature and mid-mature individuals showed a significant positive correlation at a small scale of plot II, whereas the near-mature, mature, and over-mature individuals showed a significant negative correlation at a small scale. The mid-mature, mature, and over-mature individuals were negatively correlated at the 2-5 m scale. Q. wutaishanica stand in the natural secondary forest on Huanglong Mountain was one of the important constituent species. The study of spatial distribution at different growth stages of individual organisms is critical to capture the growth situation of Q. wutaishanica in Huanglong Mountain. Spatial correlation of different growth stages is vital to understand the development trend of the community as well as to provide an important basis for the development of structured forest management for greater population density.