Studies have been conducted to examine the spatial variations of human thermal comfort in various countries using different comfort indices. These human thermal climate studies have important implications on human health, migration patterns, retirement decisions, tourism development, energy requirements, etc. Yan (2005) used clothing insulation (CLO) index to construct average clothing needs in various regions of China. These average CLO maps, however, only provided information on the center of the distribution of climate variation of the regions. Using quantile regressions, we estimated index and constructed contour maps for the whole spectrum of the CLO distribution to provide additional information on the spread and variation of the clothing requirements and, hence, a more complete picture of the human comfort of the various regions in China.