The Chemical Engineering Plant Cost Index (CEPCI) is widely used for updating the capital costs of process engineering projects. Typically, forecasting it requires twenty or so parameters. As an alternative, we suggest a correlation for predicting the index as a function of readily available and forecast macroeconomic indicators: with k o the first year of the period under consideration, i k the interest rate on US bank prime loans in year k, and P oil the US domestic oil price in year n. Best fit was obtained when choosing distinct sets of values of the constants A, B and C for each of the three periods