This study examines the spatial distribution and clustering characteristics of housing prices within Kunming’s Second Ring Road using platform-displayed housing price observations for 2,125 residential communities. Most observations were obtained from Anjuke in June 2025, while missing records were manually supplemented from 58.com, Lianjia, and Fang.com between 2025 and 2026. Housing price classification mapping, housing-price-weighted kernel density analysis, Global Moran’s I, and Anselin Local Moran’s I were conducted in ArcGIS Pro. Housing prices were generally higher in the center, with contiguous low- and medium-price areas toward the periphery. Higher-priced communities were concentrated mainly along the Green Lake–Xiaoximen–Nanping Street corridor. The kernel density surface showed a primary central high-value zone and smaller southern and eastern patches. Global Moran’s I was 0.394262, with a Z score of 124.714009 and a P value below 0.001, indicating statistically significant positive spatial autocorrelation. High–high clusters were concentrated within the First Ring Road, whereas low–low clusters were mainly located between the First and Second Ring Roads. High–low and low–high outliers occurred primarily in center–periphery transition areas. Overall, the observed pattern combined broad center–periphery differences with localized spatial heterogeneity.

Jihua Qin. Spatial Patterns and Clustering Characteristics of Housing Prices within Kunming’s Second Ring Road at the Residential Community Scale. Academic Journal of Humanities & Social Sciences (2026), Vol. 9, Issue 7: 50-57. https://doi.org/10.25236/AJHSS.2026.090707.

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