diff --git a/pandas/core/arrays/numpy_.py b/pandas/core/arrays/numpy_.py
index 9d174a49b5db1..56c9efcccdd98 100644
--- a/pandas/core/arrays/numpy_.py
+++ b/pandas/core/arrays/numpy_.py
@@ -118,8 +118,7 @@ def __init__(
                 f"'values' must be a NumPy array, not {type(values).__name__}"
             )
 
-        if values.ndim == 0:
-            # Technically we support 2, but do not advertise that fact.
+        if values.ndim != 1:
             raise ValueError("NumpyExtensionArray must be 1-dimensional.")
 
         if copy:
diff --git a/pandas/tests/arrays/test_array.py b/pandas/tests/arrays/test_array.py
index cd78dfd6f343a..29cfb1522cbf6 100644
--- a/pandas/tests/arrays/test_array.py
+++ b/pandas/tests/arrays/test_array.py
@@ -451,10 +451,16 @@ def test_array_inference_fails(data):
     tm.assert_extension_array_equal(result, expected)
 
 
-@pytest.mark.parametrize("data", [np.array(0)])
-def test_nd_raises(data):
+@pytest.mark.parametrize(
+    "data,dtype",
+    [
+        (np.array(0), "int64"),
+        (np.array([[1, 2], ["a", "b"]]), object),
+    ],
+)
+def test_nd_raises(data, dtype):
     with pytest.raises(ValueError, match="NumpyExtensionArray must be 1-dimensional"):
-        pd.array(data, dtype="int64")
+        pd.array(data, dtype=dtype)
 
 
 def test_scalar_raises():