diff --git a/rdmo/core/management/commands/find_spam_users.py b/rdmo/core/management/commands/find_spam_users.py
index 0ff7e6b21..a29800fa1 100644
--- a/rdmo/core/management/commands/find_spam_users.py
+++ b/rdmo/core/management/commands/find_spam_users.py
@@ -132,19 +132,16 @@ def find_potential_spam_users(self, timespan, occurrence):
     def handle(self, *args, **options):
 
         no_total_users = User.objects.all().count()
-        print('Total no of users:    %d' % (no_total_users))
+        print(f'Total no of users:    {no_total_users}')
         potential_spam_users, no_users_having_projects =\
             self.find_potential_spam_users(
                 options['timespan'], options['occurrence']
             )
 
         print(
-            'Potential spam users: %d  %.2f%% / of which have at least one project %d'
-            % (
-                len(potential_spam_users),
-                (100/no_total_users)*len(potential_spam_users),
-                no_users_having_projects
-            )
+            f'Potential spam users: {len(potential_spam_users)}  '
+            f'{(100 / no_total_users) * len(potential_spam_users):.2f}% '
+            f'/ of which have at least one project {no_users_having_projects}'
         )
 
         self.save_csv(potential_spam_users, options['output_file'])
diff --git a/rdmo/core/management/commands/find_users.py b/rdmo/core/management/commands/find_users.py
index c67903624..13a03e335 100644
--- a/rdmo/core/management/commands/find_users.py
+++ b/rdmo/core/management/commands/find_users.py
@@ -99,15 +99,12 @@ def find_users(self, options):
 
     def handle(self, *args, **options):
         no_total_users = User.objects.all().count()
-        print('Total no of users:    %d' % (no_total_users))
+        print(f'Total no of users:    {no_total_users}')
         found_users = self.find_users(options)
 
         print(
-            'Matching the filter:  %d  %.2f%%'
-            % (
-                len(found_users),
-                (100/no_total_users)*len(found_users)
-            )
+            f'Matching the filter: {len(found_users)}  '
+            f'{(100 / no_total_users) * len(found_users):.2f}% '
         )
 
         self.save_csv(found_users, options['output_file'])