Concentration ratios (CR_wo-media) are used in most radioecological models to predict radionuclide activity concentrations in wildlife from those in environmental media.  This simplistic approach amalgamates the various factors influencing transfer within a single generic value and, as a result, comparisons of model predictions with site-specific measurements can vary by orders of magnitude.  To improve model predictions, the development of ‘condition-specific’ CR_wo-media values has been proposed (e.g. for a specific habitat).  However, the underlying datasets for most CR_wo-media value databases, such as the wildlife transfer database (WTD) developed within the IAEA EMRAS II programme, include summarised data. This presents challenges for the calculation and subsequent statistical evaluation of condition-specific CR_wo-media values.  A further complication is the common use of arithmetic summary statistics to summarise data in source references, even though CR_wo-media values generally tend towards a lognormal distribution and should be summarised using geometric statistics.  In this paper, we propose a statistically-defensible and robust method for reconstructing underlying datasets to calculate condition-specific CR_wo-media values from summarised data and deriving appropriate summary statistics.