diff --git a/tests/pipeline/test_term.py b/tests/pipeline/test_term.py
index eebcbd41..ce86b24a 100644
--- a/tests/pipeline/test_term.py
+++ b/tests/pipeline/test_term.py
@@ -18,6 +18,7 @@ from zipline.pipeline.data.testing import TestingDataSet
 from zipline.pipeline.term import AssetExists, NotSpecified
 from zipline.pipeline.expression import NUMEXPR_MATH_FUNCS
 from zipline.utils.numpy_utils import (
+    bool_dtype,
     datetime64ns_dtype,
     float64_dtype,
     int64_dtype,
@@ -335,10 +336,19 @@ class ObjectIdentityTestCase(TestCase):
             SomeFactor(dtype=1)
 
     def test_latest_on_different_dtypes(self):
-        self.assertIsInstance(TestingDataSet.bool_col.latest, Filter)
-        self.assertIsInstance(TestingDataSet.float_col.latest, Factor)
-        self.assertIsInstance(TestingDataSet.datetime_col.latest, Factor)
-        self.assertIsInstance(TestingDataSet.int_col.latest, Factor)
+        factor_dtypes = (int64_dtype, float64_dtype, datetime64ns_dtype)
+        for column in TestingDataSet.columns:
+            if column.dtype == bool_dtype:
+                self.assertIsInstance(column.latest, Filter)
+            elif column.dtype in factor_dtypes:
+                self.assertIsInstance(column.latest, Factor)
+            else:
+                self.fail(
+                    "Unknown dtype %s for column %s" % (column.dtype, column)
+                )
+            # These should be the same value, plus this has the convenient
+            # property of correctly handling `NaN`.
+            self.assertIs(column.missing_value, column.latest.missing_value)
 
     def test_failure_timing_on_bad_missing_values(self):