The frequency content in strong ground motions has been recognized as a key factor in estimating the structural damage caused during earthquakes. Apart from the amplitude of the ground motions, the frequency content also majorly influences the results from the nonlinear dynamic analyses of structures. This frequency content is often simplistically represented using single parameter estimates. The peak ground A/V ratio is an empirical parameter, commonly used by structural engineers to represent frequency content and is also used for the classification and subsequent development of ground motion suites. In general, ground motions can be classified mainly into three subjective categories, which represent low, moderate, and high-frequency contents, namely low A/V, intermediate A/V, and high A/V. However, the A/V ratio is affected by local geological conditions, distance between the source and the recording station, and faulting processes, causing the correlation between A/V and frequency to be extremely complex. Seismologists estimate the frequency content using alternate single parameter estimates, i.e., either the predominant period, \(T_{p}\) derived from the acceleration response spectra or the mean period, \(T_{m}\) derived from the Fast Fourier Transforms (FFTs). However, the correlation between the A/V ratio, \(T_{p}\) and \(T_{m}\) has not been established in the literature. In this study, we utilize the strong ground motions from the recent 2023 Turkey earthquake to determine the various single parameter frequency estimates. For the characterization, 320 horizontal components and 155 vertical components of accelerograms were collected from 160 recording stations with varying epicentral distances. Linear regression analysis is performed on the ground motion frequency parameters. The results indicate that the A/V ratio has a weak correlation with predominant frequency and a significant correlation with the mean period. In the absence of a strong correlation, the A/V ratio can only be used with caution for the frequency classification of ground motions.