In the histogram of a finite data set, the area above any class equals the proportion of values in the class.

Since a probability density function (pdf) is a type of histogram, it satisfies the same property.

The probability that a sampled value is within two values, P(a < X < b), equals the area under the pdf.

This is the key to interpreting pdfs.