diff --git a/pandas/core/arrays/categorical.py b/pandas/core/arrays/categorical.py
index 4c6a32ff1ba4e..16fcf6daf5aef 100644
--- a/pandas/core/arrays/categorical.py
+++ b/pandas/core/arrays/categorical.py
@@ -421,13 +421,8 @@ def __init__(
                 if null_mask.any():
                     # We remove null values here, then below will re-insert
                     #  them, grep "full_codes"
-
-                    # error: Incompatible types in assignment (expression has type
-                    # "List[Any]", variable has type "ExtensionArray")
-                    arr = [  # type: ignore[assignment]
-                        values[idx] for idx in np.where(~null_mask)[0]
-                    ]
-                    arr = sanitize_array(arr, None)
+                    arr_list = [values[idx] for idx in np.where(~null_mask)[0]]
+                    arr = sanitize_array(arr_list, None)
                 values = arr
 
         if dtype.categories is None:
diff --git a/pandas/core/dtypes/dtypes.py b/pandas/core/dtypes/dtypes.py
index e20670893f71c..71da0a4b20b41 100644
--- a/pandas/core/dtypes/dtypes.py
+++ b/pandas/core/dtypes/dtypes.py
@@ -465,9 +465,7 @@ def _hash_categories(self) -> int:
                 [cat_array, np.arange(len(cat_array), dtype=cat_array.dtype)]
             )
         else:
-            # error: Incompatible types in assignment (expression has type
-            # "List[ndarray]", variable has type "ndarray")
-            cat_array = [cat_array]  # type: ignore[assignment]
+            cat_array = np.array([cat_array])
         combined_hashed = combine_hash_arrays(iter(cat_array), num_items=len(cat_array))
         return np.bitwise_xor.reduce(combined_hashed)