Nowadays due to wide applications of supercritical fluids (SCFs) technology in different industrial fields, solubility estimation of solid species in SCF is so important. In this work, two new correlations for the prediction of supercritical carbon dioxide (SC-CO2) density and solubility of 31 well known industrial compounds in the SC-CO2 are proposed. These correlations have been developed based on the sensitivity analysis and mathematically regression using 1240 SC-CO2 density data and 1012 solubility data of 31 solid compounds for the temperature range of 308-523 K and pressure between 75 and 468 bar. The proposed density and solubility models have been compared with the literature experimental data and also different models. The proposed SC-CO2 density correlation has better performance (lower AARD%) and higher density prediction ability at wider range of temperature and pressure respect to Jouyban et al. and Bahadori et al. density models. Also, more precisely prediction results of proposed solubility model respect to K-J and Chrastil models showed that the proposed model can be used as a reliable solubility model in industrial applications. (c) 2013 Elsevier B.V. All rights reserved.