diff --git a/python/pyarrow/tests/test_schema.py b/python/pyarrow/tests/test_schema.py
index 029e14ca162..c4292c7d1dc 100644
--- a/python/pyarrow/tests/test_schema.py
+++ b/python/pyarrow/tests/test_schema.py
@@ -55,8 +55,10 @@ def test_type_integers():
 @pytest.mark.pandas
 def test_type_to_pandas_dtype():
     M8 = np.dtype('datetime64[ms]')
+    M8s = np.dtype('datetime64[s]')
     if Version(pd.__version__) < Version("2.0.0"):
         M8 = np.dtype('datetime64[ns]')
+        M8s = np.dtype('datetime64[ns]')
     cases = [
         (pa.null(), np.object_),
         (pa.bool_(), np.bool_),
@@ -71,8 +73,8 @@ def test_type_to_pandas_dtype():
         (pa.float16(), np.float16),
         (pa.float32(), np.float32),
         (pa.float64(), np.float64),
-        (pa.date32(), M8),
-        (pa.date64(), M8),
+        (pa.date32(), M8s),
+        (pa.date64(), M8s),
         (pa.timestamp('ms'), M8),
         (pa.binary(), np.object_),
         (pa.large_binary(), np.object_),
diff --git a/python/pyarrow/types.pxi b/python/pyarrow/types.pxi
index e84f1b073f6..02d2ba49714 100644
--- a/python/pyarrow/types.pxi
+++ b/python/pyarrow/types.pxi
@@ -54,8 +54,8 @@ def _get_pandas_type_map():
             _Type_FLOAT: np.float32,
             _Type_DOUBLE: np.float64,
             # Pandas does not support [D]ay, so default to [ms] for date32
-            _Type_DATE32: np.dtype('datetime64[ms]'),
-            _Type_DATE64: np.dtype('datetime64[ms]'),
+            _Type_DATE32: np.dtype('datetime64[s]'),
+            _Type_DATE64: np.dtype('datetime64[s]'),
             _Type_TIMESTAMP: {
                 's': np.dtype('datetime64[s]'),
                 'ms': np.dtype('datetime64[ms]'),