Introduction: The Relative Age Effect (RAE) is a concept related to the possible advantage that older athletes would have over younger ones within the same category. However, this phenomenon may or may not arise depending on the modality, sex, age group, level of competitiveness, location, and requirement of the tasks in the modality. For a better understanding of how the RAE behaves in Athletics, in addition to the general analysis of the modality, more detailed analyzes with cuts within the groups of events are necessary. Objective: To analyze the Effect of Relative Age on general speed and jumping events in Athletics and segmented between the most and least practiced events. Methods: The 50 best results in the Brazilian Ranking of the CBAt (Confederação Brasileira de Atletismo) of the sprint and jumping events in Athletics of the Under-16 (female and male) and Under-18 (female and male) categories were extracted from the CBAt public website for data analysis. The data were analyzed in their total sample and divided by category. Subsequently, the sample was divided into more practiced events (sprint speed events and horizontal jumps) and less practiced events (hurdles and vertical jumps). Finally, an analysis of the 10 best results in the female category in the horizontal and vertical jump events was carried out. Results: In the sample of the speed event group, in males the effect of relative age was significant for the total sample (χ² = 60.26, p<0.001), Sub-16 (χ² = 31.29, p<0.001), and Sub -18 (χ² = 32.14, p<0.001), while in females there was no significant effect of relative age. In the group of jumping events, there was an effect of relative age for both sexes (Male χ² = 40.6, p=0.003 and Fem χ² = 9.46, p=0.03), however, when we segregated the sample by age category (U-16 and U-18) the relative age effect was maintained for males (U-16 χ² = 21.5, p<0.001 and U-18 χ² = 19.8, p<0.001), not appearing for females (U-16 χ² = 6.18, p=0.1 and U-18 χ² = 3.61, p=0.3). By segregating the sample into subgroups in the sprint events, the effect of relative age was found in the total sample of both sexes for the sprint events and only for the males in the hurdle’s events. When considering the Under-16 and Under-18 categories, there was an effect of relative age for the males’ sample in both categories and competition divisions, while for females, an effect of relative age was pointed out only in the Under-18 category in the sprint events (χ² = 8.79, p <0.05). In the sample of jumping events divided into subgroups, an effect of the relative age for the male sex in the vertical and horizontal jumps in the total sample and when considered by age category (U-16 and U-18) was pointed out. In the group of jumping events, when the 10 best results of the female category were extracted, EIR was verified in the group of horizontal jumping events (χ² = 15.8, p<0.01). Conclusion: There is a Relative Age Effect in the under-16 and under-18 sprint and jumping events in Brazilian Athletics in males. However, when segmenting events with a greater number of competitors between these two groups of events, positive results are also verified in females in the under-18 category in the speed events and among the holders of the 10 best results in the horizontal jump events.