1. The on-going environmental crisis poses an urgent need for predicting future extinction events, which can aid with targeting conservation efforts. Commonly, such predictions are made based on conservation status assessments produced by the International Union for Conservation of Nature (IUCN). However, when researchers apply these conservation status data for predicting future extinctions, important information is often omitted, which can majorly impact the accuracy of these predictions.2. Here we present iucn_sim, a command line program, which implements an improved approach for simulating future extinctions based on IUCN status data.In contrast to previous approaches, iucn_sim explicitly models future changes in conservation status for each species, based on information derived from the IUCN assessment history of the last decades. Additionally the program considers generation length information when translating status information into extinction probabilities, as intended per IUCN definition.3. The program implements a Markov-chain Monte Carlo estimation of extinction rates for each species, based on the simulated extinctions. These estimates inherently contain the chances of conservation status changes and the generation length of each given species.4. Based on an empirical data example including all birds (class Aves), we find that our improved approach has a strong effect on the estimated species-specific extinction rates as well as on the overall number of predicted extinctions. Using simulated data we show that iucn_sim reliably estimates extinction rates with high accuracy if run for a sufficient number of simulations.2