The significant interaction tells you that the difference in the SES groups changes depending on the distance, or equivalently that the effect of distance depends SES - think of the slope of the two distance curves for the SES levels at each of various values of distance. But note that you are talking about the SES difference or the distance effect in terms of the log odds, not the event probability. This is discussed in more detail in this note. See, in particular, the Poisson model example on rates and the use of the Margins macro at the end which compares the event probabilities at selected values of the continuous predictor (as well as compares slopes). A similar approach can be used for your logistic model. Note also the use of the EFFECTPLOT statement to plot the predicted log odds or predicted probabilities.
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