The solubility of sodium acetate in ternary solvent mixtures of water + methanol (MeOH) + acetonitrile (ACN), water + MeOH + 1-propanol (PrOH), water + PrOH + ACN, and MeOH + PrOH + ACN at 298.2 K is reported and mathematically represented using two numerical analyses (based on measured solubility data in 54 ternary mixtures containing the particular x solvents in the mass fraction ranges between 0.08 and 0.84). In the first analysis, the solubility is predicted using the Jouyban-Acree model constants for the binary mixtures of the respective solvent pairs that were used to prepare the ternary mixtures. By this approach, the overall mean percentage deviation (OMPD) of the predicted data in ternary solvents is 57 %. The largest OMPD for this model was up to 80 % for a mixture of water, PrOH, and ACN. To improve the model, an additional term (with ternary constants J(i)(parallel to)) was included, reflecting the combined effect of all three solvents in a mixture. By this numerical analysis, the experimental ternary solubility data is used to calculate the additional ternary constants. After employing the calculated constants, the prediction of the solubility in the ternary mixtures was improved significantly by a factor of 2 with an OMPD of 25 %. As an additional ability of the Jouyban-Acree model, the density of the solute saturated solutions in the solvent mixtures is predicted using three numerical methods; i.e., (i) data of solute saturated solutions in the binary solvent mixtures, (ii) ternary mixtures, and (iii) density data of solute free binary solvent mixtures with predicting errors (OMPD) of 1.2 %, 3.0 %, and 2.8 %, respectively.