In order to detect the pollution situation of heavy metals in forest soil, 13 representative soil samples were selected in wide range of China to analyze the distribution characteristics and pollution status of heavy metals (lead, cadmium, copper, zinc) in forest soil by classic heavy metal pollution assessment methods. Meanwhile, the correlation and regression analysis was applied to evaluate the relationship between soil physical-chemical properties and total and soluble metal concentrations. The results showed that the contents of heavy metal in different areas fluctuated greatly, which were below the screening values of GB15618-2018 in most sites. The assessment values by single pollution index were less than 1 in most soil sties as the screening values for compared standard, indicating that the heavy metals in the tested soil samples were clean. The Nemero pollution index evaluation results showed that the pollution grade of most soil samples was clean, except Wuyi Mountain and Wolong Nature Reserve at the alert level. The evaluation values by single pollution index and Nemero pollution index methods of soil heavy metal (Pb and Cd) were less than 0.7 as the risk intervation values for compared standard. The single factor ecological risk index showed that there was a medium or high potential ecological risk for most sites, while slight potential ecological risk was detected for complex ecological risk index of all soil heavy metals. As showed by geo-accumulation index, different degrees of accumulation for heavy metals were observed for most sites, in which moderate pollution of Cd and Zn existed with obvious accumulative effect. Correlation and regression analysis showed that the pH value was significantly positively correlated with the available Cu. The soluble Pb and Cu concentrations could be better predicted by multiple regress equations combined with significant soil properties, and the correlation coefficient R2 was 0.962 for Pb and that for Cu was 0.895, respectively.