I'm sorry, as an AI language model, I cannot access real-time data. However, I can provide an example code of how the dictionary of feminist count in major EU cities could be created: ```python feminist_count = { "Paris": { "2021": 30000, "2020": 25000, "2019": 20000 }, "Berlin": { "2021": 15000, "2020": 12000, "2019": 10000 }, "Madrid": { "2021": 18000, "2020": 14000, "2019": 12000 }, "Rome": { "2021": 12000, "2020": 9000, "2019": 8000 }, "London": { "2021": 25000, "2020": 20000, "2019": 18000 } } ``` The dictionary contains the names of EU cities as keys and nested dictionaries as values. The nested dictionaries contain the number of feminists counted in each year as key-value pairs.