diff --git a/Python-packages/covidcast-py/covidcast/covidcast.py b/Python-packages/covidcast-py/covidcast/covidcast.py
index f4a5860a..dfcb709d 100644
--- a/Python-packages/covidcast-py/covidcast/covidcast.py
+++ b/Python-packages/covidcast-py/covidcast/covidcast.py
@@ -1,8 +1,8 @@
 """This is the client side library for accessing the COVIDcast API."""
 import warnings
 from datetime import timedelta, date
-from typing import Union, Iterable, Tuple, List
 from functools import reduce
+from typing import Union, Iterable, Tuple, List
 
 import pandas as pd
 from delphi_epidata import Epidata
@@ -213,11 +213,9 @@ def metadata() -> pd.DataFrame:
       ``signal``
         Signal name.
 
-      ``min_time``
-        First day for which this signal is available.
-
-      ``max_time``
-        Most recent day for which this signal is available.
+      ``time_type``
+        Temporal resolution at which this signal is reported. "day", for
+        example, means the signal is reported daily.
 
       ``geo_type``
         Geographic level for which this signal is available, such as county,
@@ -225,9 +223,11 @@ def metadata() -> pd.DataFrame:
         levels and will hence be listed in multiple rows with their own
         metadata.
 
-      ``time_type``
-        Temporal resolution at which this signal is reported. "day", for
-        example, means the signal is reported daily.
+      ``min_time``
+        First day for which this signal is available.
+
+      ``max_time``
+        Most recent day for which this signal is available.
 
       ``num_locations``
         Number of distinct geographic locations available for this signal. For
@@ -246,6 +246,17 @@ def metadata() -> pd.DataFrame:
       ``stdev_value``
         The sample standard deviation of all reported values.
 
+      ``last_update``
+        The UTC datetime for when the signal value was last updated.
+
+      ``max_issue``
+        Most recent date data was issued.
+
+      ``min_lag``
+        Smallest lag from observation to issue, in days.
+
+      ``max_lag``
+        Largest lag from observation to issue, in days.
     """
     meta = Epidata.covidcast_meta()
 
@@ -257,7 +268,7 @@ def metadata() -> pd.DataFrame:
     meta_df = pd.DataFrame.from_dict(meta["epidata"])
     meta_df["min_time"] = pd.to_datetime(meta_df["min_time"], format="%Y%m%d")
     meta_df["max_time"] = pd.to_datetime(meta_df["max_time"], format="%Y%m%d")
-
+    meta_df["last_update"] = pd.to_datetime(meta_df["last_update"], unit="s")
     return meta_df
 
 
diff --git a/Python-packages/covidcast-py/tests/covidcast/test_covidcast.py b/Python-packages/covidcast-py/tests/covidcast/test_covidcast.py
index 7e85943a..dc536bf7 100644
--- a/Python-packages/covidcast-py/tests/covidcast/test_covidcast.py
+++ b/Python-packages/covidcast-py/tests/covidcast/test_covidcast.py
@@ -77,19 +77,21 @@ def test_signal(mock_covidcast, mock_metadata):
 @patch("delphi_epidata.Epidata.covidcast_meta")
 def test_metadata(mock_covidcast_meta):
     # not generating full DF since most attributes used
-    mock_covidcast_meta.side_effect = [{"result": 1,  # successful API response
-                                        "epidata": [{"max_time": 20200622, "min_time": 20200421},
-                                                    {"max_time": 20200724, "min_time": 20200512}],
-                                        "message": "success"},
-                                       {"result": 0,  # unsuccessful API response
-                                        "epidata": [{"max_time": 20200622, "min_time": 20200421},
-                                                    {"max_time": 20200724, "min_time": 20200512}],
-                                        "message": "error: failed"}]
-
+    mock_covidcast_meta.side_effect = [
+        {"result": 1,  # successful API response
+         "epidata": [{"max_time": 20200622, "min_time": 20200421, "last_update": 12345},
+                     {"max_time": 20200724, "min_time": 20200512, "last_update": 99999}],
+         "message": "success"},
+        {"result": 0,  # unsuccessful API response
+         "epidata": [{"max_time": 20200622, "min_time": 20200421},
+                     {"max_time": 20200724, "min_time": 20200512}],
+         "message": "error: failed"}]
     # test happy path
     response = covidcast.metadata()
-    expected = pd.DataFrame({"max_time": [datetime(2020, 6, 22), datetime(2020, 7, 24)],
-                             "min_time": [datetime(2020, 4, 21), datetime(2020, 5, 12)]})
+    expected = pd.DataFrame({
+        "max_time": [datetime(2020, 6, 22), datetime(2020, 7, 24)],
+        "min_time": [datetime(2020, 4, 21), datetime(2020, 5, 12)],
+        "last_update": [datetime(1970, 1, 1, 3, 25, 45), datetime(1970, 1, 2, 3, 46, 39)]})
     assert sort_df(response).equals(sort_df(expected))
 
     # test failed response raises RuntimeError