Bin width in a histogram refers to the range of data values that each bin covers, significantly impacting the histogram's appearance and interpretability. Choosing an appropriate bin width is crucial as it affects the balance between overfitting (too narrow) and underfitting (too wide) the data distribution, influencing the insights drawn from the data visualization.