Fairly obviously, if we rescaled these distributions to allow for their population means, they would be identical.

Less obviously perhaps, the 'probability density' of a normal distribution provides a measure of the probability of obtaining a value similar to (but not equal to) x. As you can see, the probability density is greatest around the population mean - and declines symmetrically for more deviant values of x.