Spatial extent and predictability of various hazards.
Drought is not comparable to earthquakes and hurricanes because of the difference in time scale involved. We can generally consider earthquakes and hurricanes to be discrete events at a point in time. Drought, however, has a significant and variable time component. For example, you might consider a year of severely below average rainfall to be a drought but there are also multi-year droughts with prolonged periods of low rainfall. Descriptively, you can plot the average rainfall for an area along with the cumulative deviation from the average to see the trends. Even that should be used with caution - one year of very high rainfall may have a big effect on the deviation from the mean but won't really help rain-fed agriculture in subsequent low years. Here is a guide to the different definitions of drought.

The probability of a hurricane hitting the eastern United States in the next decade probably approaches 1.0 but to narrow that down to specific cities is more difficult. Once one has formed, the meteorologists are getting very good at predicting where it will make landfall. In between, the probability of a hurricane striking a particular city in a given year is low.

With regards to earthquakes, there are many known faults where measurements indicate a high probability for a large earthquake. However, the timing may be within hundreds or thousands of years. We can predict where but not when.

These are all different ways of looking at prediction that illustrate the considerations in how we think about 'prediction'. Ranking them is comparing apples to oranges.