Landfill post-closure with contaminant concentration in soil below permissible limit assessed at limited spot does not represent the contamination issue. Therefore sizeable, qualitative, and cost-effective analysis of the concentrations of contaminants is needed and this work recommends kriging assessment and the logical impact pathway framework as factors of change in landfill aftercare management. The kriging framework is developed utilising lead (Pb) and chromium (Cr) data from inductively coupled plasma mass spectrometry (ICP-MS) analysis. The development of the kriging framework is conducted based on the observation of censored data from ICP-MS analysis. The estimation analysis involves the analysis of ordinary kriging with regression analysis, showing the interpolation of spatial correlation and regression error. Hence, ordinary kriging with regression of the variable of interest, i.e., Pb, using the data of the explanatory variable, i.e., Cr, is inappropriate. Further investigation with the utilisation of guess-field kriging analysis hypothetically exposed a potential contaminated area using an existing but limited number of explanatory variables; although, guess-field kriging may possibly result immense uncertainty at the area where the explanatory variable does not exist. Besides, this work anticipated outcomes in societal impact and sustainability practices from the proposed kriging framework by recommending a logical impact pathway. The development of the kriging framework and impact pathway reassure the necessary actions to be executed by responsible parties and act as the stimulus of a wider spectrum of improvement initiatives to oversee real issues, such as the time of occurrence, and to prevent negative impacts on the environment and humans.