diff --git a/features/communication.py b/features/communication.py
index a2acfdb..771e08e 100644
--- a/features/communication.py
+++ b/features/communication.py
@@ -164,8 +164,13 @@ def count_comms(comm_df: pd.DataFrame) -> pd.DataFrame:
             .rename(columns=sms_types)
             .add_prefix("no_")
         )
-        comm_features = comm_counts
-        # TODO Add ratio of outgoing and incoming texts.
+        comm_counts["no_all"] = comm_counts.sum(axis=1)
+        # Add a total count of messages.
+        comm_features = comm_counts.assign(
+            no_received_ratio=lambda x: x.no_received / x.no_all,
+            no_sent_ratio=lambda x: x.no_sent / x.no_all,
+        )
+        # Ratio of incoming and outgoing messages to all messages.
     else:
         raise KeyError("The dataframe contains neither call_type or message_type")
     return comm_features
diff --git a/test/test_communication.py b/test/test_communication.py
index 6d6d751..a767255 100644
--- a/test/test_communication.py
+++ b/test/test_communication.py
@@ -24,7 +24,7 @@ class CallsFeatures(unittest.TestCase):
             axis=None,
         )
         rng.shuffle(callers)
-        cls.calls = pd.DataFrame(
+        cls.comm = pd.DataFrame(
             {
                 "id": np.linspace(0, call_rows - 1, num=call_rows, dtype="u4") + 100,
                 "_id": np.linspace(0, call_rows - 1, num=call_rows, dtype="u4"),
@@ -32,12 +32,17 @@ class CallsFeatures(unittest.TestCase):
                     rng.integers(1612169903000, 1614556703000, size=call_rows)
                 ),
                 "device_id": "device1",
-                "call_type": rng.integers(1, 3, size=call_rows, endpoint=True),
-                "call_duration": rng.integers(0, 600, size=call_rows),
-                "trace": callers,
                 "participant_id": 29,
+                "trace": callers,
             }
         )
+        cls.calls = cls.comm.assign(
+            call_type=rng.integers(1, 3, size=call_rows, endpoint=True),
+            call_duration=rng.integers(0, 600, size=call_rows),
+        )
+        cls.sms = cls.comm.assign(
+            message_type=rng.integers(1, 2, size=call_rows, endpoint=True)
+        )
 
     @classmethod
     def assertSeriesEqual(cls, a, b, msg=None, **optional):
@@ -69,7 +74,12 @@ class CallsFeatures(unittest.TestCase):
             check_category_order=False,
         )
 
-    def test_count_comms(self):
+    def test_count_comms_calls(self):
         self.features = count_comms(self.calls)
         print(self.features)
         self.assertIsInstance(self.features, pd.DataFrame)
+
+    def test_count_comms_sms(self):
+        self.features = count_comms(self.sms)
+        print(self.features)
+        self.assertIsInstance(self.features, pd.DataFrame)