diff --git a/pandas/core/arrays/integer.py b/pandas/core/arrays/integer.py
index 17e92c3976e2c..9e045a7785660 100644
--- a/pandas/core/arrays/integer.py
+++ b/pandas/core/arrays/integer.py
@@ -173,7 +173,7 @@ def coerce_to_array(values, dtype, mask=None, copy=False):
     values = np.array(values, copy=copy)
     if is_object_dtype(values):
         inferred_type = lib.infer_dtype(values)
-        if inferred_type is 'mixed' and isna(values).any():
+        if inferred_type is 'mixed' and isna(values).all():
             values = np.empty(len(values))
             values.fill(np.nan)
         elif inferred_type not in ['floating', 'integer',
diff --git a/pandas/tests/arrays/test_integer.py b/pandas/tests/arrays/test_integer.py
index e6dae0ffaec28..10961173d4b6b 100644
--- a/pandas/tests/arrays/test_integer.py
+++ b/pandas/tests/arrays/test_integer.py
@@ -560,7 +560,8 @@ def test_integer_array_constructor_copy():
         1.0,
         pd.date_range('20130101', periods=2),
         np.array(['foo']),
-        [[1, 2], [3, 4]]])
+        [[1, 2], [3, 4]],
+        [np.nan, {'a': 1}]])
 def test_to_integer_array_error(values):
     # error in converting existing arrays to IntegerArrays
     with pytest.raises(TypeError):