Correlation for estimation of the aqueous solubility (logSw) of chlorinated hydrocarbons molecules is proposed. The MCI based quantitative structure-property relationship (QSPR) model proposed is predictive and requires only three connectivity indices in the calculation. The correlation equation obtained which is based on a training set of 50 chlorinated hydrocarbons has a correlation coefficient of 0.9670 and a standard error of 0.44 log(10) units. Application of the developed model to a testing set of 73 chlorinated hydrocarbons demonstrates that the new model is reliable with good predictive accuracy and simple formulation. Besides, the model does not require any experimental physicochemical properties in the calculation, so it is easy to apply, especially in cases where it is inconvenient or impossible to measure the physicochemical properties.