Just FYI, histogram distributions are usually represented as a series of equal size bins (spread over the data range from minimum to maximum) within which the number of samples is counted - providing the percentage of data within each bin and a cumulative percentage of data in all bins up to and including that bin.
But, when we compute statistics for raster we actually generate a different kind of histogram distribution where we have bins spread over the range but the bin width is not equal - it varies from bin to bin. The number of samples in each bin will be approximately equal.
We can output histogram distribution data in one, the other, or both formats.