diff --git a/data/model/log.py b/data/model/log.py
index 519647ddb..ad5713d6d 100644
--- a/data/model/log.py
+++ b/data/model/log.py
@@ -35,7 +35,7 @@ def get_log_entry_kinds():
 
 def get_aggregated_logs(start_time, end_time, performer=None, repository=None, namespace=None):
   date = db.extract_date('day', LogEntry.datetime)
-  selections = [LogEntry.kind, LogEntry.datetime, fn.Count(LogEntry.id).alias('count')]
+  selections = [LogEntry.kind, date.alias('day'), fn.Count(LogEntry.id).alias('count')]
   query = _logs_query(selections, start_time, end_time, performer, repository, namespace)
   return query.group_by(date, LogEntry.kind)
 
diff --git a/endpoints/api/logs.py b/endpoints/api/logs.py
index 10ddc8d97..d3ad8f712 100644
--- a/endpoints/api/logs.py
+++ b/endpoints/api/logs.py
@@ -34,11 +34,19 @@ def log_view(log, kinds):
 
   return view
 
-def aggregated_log_view(log, kinds):
+def aggregated_log_view(log, kinds, start_time):
+  # Because we aggregate based on the day of the month in SQL, we only have that information.
+  # Therefore, create a synthetic date based on the day and the month of the start time.
+  # Logs are allowed for a maximum period of one week, so this calculation should always work.
+  day = int(log.day)
+  month = start_time.month
+  if day < start_time.day:
+    month = month + 1
+
   view  = {
     'kind': kinds[log.kind_id],
     'count': log.count,
-    'datetime': format_date(log.datetime)
+    'date': format_date(datetime(start_time.year, month, day))
   }
 
   return view
@@ -93,7 +101,7 @@ def get_aggregate_logs(start_time, end_time, performer_name=None, repository=Non
                                                   repository=repository, namespace=namespace)
 
   return {
-    'aggregated': [aggregated_log_view(log, kinds) for log in aggregated_logs]
+    'aggregated': [aggregated_log_view(log, kinds, start_time) for log in aggregated_logs]
   }