Investigation of the migration of Woodcock (Scolopax rusticola L.) in Transylvania. Based on the results of the synchronous Woodcock counting at the ten observation points in Transylvania, it can be stated that during the spring migration starting in the second decade of February, the number of observed birds showed an increasing trend until mid-March, so the migration can peak by the second decade of March based on the overall data from the ten observation points. Comparing the results of the synchronous Woodcock census in Transylvania and the Hungarian Woodcock Monitoring, it can be stated that, the course of the migration of the species in Transylvania shows a similar dynamic to the Hungarian data (FARAGÓ et. al., 2011, 2012a, 2012b, 2012c, 2014, 2015 a, 2015b, 2016, BENDE, 2021), but its peak can be dated to about 5–15 days earlier than the maximum experienced in Hungary (third decade of March). Based on the observation data recorded at the designated observation points in the lowland and mountainous regions and the difference detected by the analysis of variance, our study results confirm the phase-delayed Woodcock migration previously reported in the Romanian literature (MĂTIEȘ & MUNTEANU, 1976, 1979, 1980). Based on our results, the maximum experienced at the designated sampling sites in the lowland region is 10. March, while in the mountainous areas it is estimated to be 20. March. Examining the relationship between birds and observation sites, we concluded that the observations were independent of the sampling area although the order (magnitude) of the frequency values varied significantly in each area, and the frequency distributions observed at each observation point can be considered similar. One single year is not enough for a statistically reliable description of the spring migration characteristics of Woodcocks. Naturally, with such a small number of items (n = 253) it is not possible to find out the reasons for the differences emerging during the migration. We could only do so with a nationwide time-series dataset including a sufficiently large number of items, and at the same time, we would like to draw attention with our study to the need for wildlife biology research in connection with this species.