The analysis of handwritten documents from the view-point of determining their writership has great bearing on the criminal justice system. In many cases, only a limited amount of handwriting is available and sometimes it consists of only numerals. Using a large number of handwritten numeral images extracted from about 3000 samples written by 1000 writers, a study of the individuality of numerals for identification/verification purposes was conducted. The individuality of numerals was studied using cluster analysis. Numerals discriminability was measured for writer verification. The study shows that some numerals present a higher discriminatory power and that their performances for the verification/identification tasks are very different.