diff --git a/pandas/core/construction.py b/pandas/core/construction.py
index 1172fd25de3e4..0c0084f2492d3 100644
--- a/pandas/core/construction.py
+++ b/pandas/core/construction.py
@@ -456,11 +456,29 @@ def sanitize_array(
     index: Optional[Index],
     dtype: Optional[DtypeObj] = None,
     copy: bool = False,
-    raise_cast_failure: bool = False,
+    raise_cast_failure: bool = True,
 ) -> ArrayLike:
     """
     Sanitize input data to an ndarray or ExtensionArray, copy if specified,
     coerce to the dtype if specified.
+
+    Parameters
+    ----------
+    data : Any
+    index : Index or None, default None
+    dtype : np.dtype, ExtensionDtype, or None, default None
+    copy : bool, default False
+    raise_cast_failure : bool, default True
+
+    Returns
+    -------
+    np.ndarray or ExtensionArray
+
+    Notes
+    -----
+    raise_cast_failure=False is only intended to be True when called from the
+    DataFrame constructor, as the dtype keyword there may be interpreted as only
+    applying to a subset of columns, see GH#24435.
     """
 
     if isinstance(data, ma.MaskedArray):
diff --git a/pandas/core/internals/construction.py b/pandas/core/internals/construction.py
index eb1a7a355f313..9903dab9976c4 100644
--- a/pandas/core/internals/construction.py
+++ b/pandas/core/internals/construction.py
@@ -403,7 +403,7 @@ def convert(v):
     return values
 
 
-def _homogenize(data, index, dtype: Optional[DtypeObj]):
+def _homogenize(data, index: Index, dtype: Optional[DtypeObj]):
     oindex = None
     homogenized = []
 
diff --git a/pandas/core/series.py b/pandas/core/series.py
index 34e9464006b30..50a537aeb8623 100644
--- a/pandas/core/series.py
+++ b/pandas/core/series.py
@@ -395,7 +395,7 @@ def __init__(
                 elif copy:
                     data = data.copy()
             else:
-                data = sanitize_array(data, index, dtype, copy, raise_cast_failure=True)
+                data = sanitize_array(data, index, dtype, copy)
 
                 data = SingleBlockManager.from_array(data, index)