diff --git a/pandas/io/excel/_base.py b/pandas/io/excel/_base.py
index 1f66fd036a1c6..de69cd159723b 100644
--- a/pandas/io/excel/_base.py
+++ b/pandas/io/excel/_base.py
@@ -251,9 +251,9 @@
     more strings (corresponding to the columns defined by `parse_dates`) as
     arguments.
 
-   .. deprecated:: 2.0.0
-      Use ``date_format`` instead, or read in as ``object`` and then apply
-      :func:`to_datetime` as-needed.
+    .. deprecated:: 2.0.0
+       Use ``date_format`` instead, or read in as ``object`` and then apply
+       :func:`to_datetime` as-needed.
 date_format : str or dict of column -> format, default ``None``
    If used in conjunction with ``parse_dates``, will parse dates according to this
    format. For anything more complex,
diff --git a/pandas/io/parsers/base_parser.py b/pandas/io/parsers/base_parser.py
index 090f62b932a2b..8d71ce6dff7f8 100644
--- a/pandas/io/parsers/base_parser.py
+++ b/pandas/io/parsers/base_parser.py
@@ -1244,7 +1244,11 @@ def _isindex(colspec):
                 raise ValueError(f"Date column {new_name} already in dict")
 
             _, col, old_names = _try_convert_dates(
-                converter, colspec, data_dict, orig_names
+                converter,
+                colspec,
+                data_dict,
+                orig_names,
+                target_name=new_name,
             )
 
             new_data[new_name] = col
@@ -1268,7 +1272,9 @@ def _isindex(colspec):
     return data_dict, new_cols
 
 
-def _try_convert_dates(parser: Callable, colspec, data_dict, columns):
+def _try_convert_dates(
+    parser: Callable, colspec, data_dict, columns, target_name: str | None = None
+):
     colset = set(columns)
     colnames = []
 
@@ -1287,7 +1293,7 @@ def _try_convert_dates(parser: Callable, colspec, data_dict, columns):
         new_name = "_".join([str(x) for x in colnames])
     to_parse = [np.asarray(data_dict[c]) for c in colnames if c in data_dict]
 
-    new_col = parser(*to_parse, col=new_name)
+    new_col = parser(*to_parse, col=new_name if target_name is None else target_name)
     return new_name, new_col, colnames
 
 
diff --git a/pandas/io/parsers/readers.py b/pandas/io/parsers/readers.py
index 85e8dd6043fa5..635c98e38da16 100644
--- a/pandas/io/parsers/readers.py
+++ b/pandas/io/parsers/readers.py
@@ -262,9 +262,9 @@
     more strings (corresponding to the columns defined by `parse_dates`) as
     arguments.
 
-   .. deprecated:: 2.0.0
-      Use ``date_format`` instead, or read in as ``object`` and then apply
-      :func:`to_datetime` as-needed.
+    .. deprecated:: 2.0.0
+       Use ``date_format`` instead, or read in as ``object`` and then apply
+       :func:`to_datetime` as-needed.
 date_format : str or dict of column -> format, default ``None``
    If used in conjunction with ``parse_dates``, will parse dates according to this
    format. For anything more complex,
diff --git a/pandas/tests/io/parser/test_parse_dates.py b/pandas/tests/io/parser/test_parse_dates.py
index 1106f699b80f8..440a8597e14f2 100644
--- a/pandas/tests/io/parser/test_parse_dates.py
+++ b/pandas/tests/io/parser/test_parse_dates.py
@@ -2189,9 +2189,10 @@ def test_parse_dates_dict_format_two_columns(all_parsers, key, parse_dates):
 31-,12-2019
 31-,12-2020"""
 
-    result = parser.read_csv(
-        StringIO(data), date_format={key: "%d- %m-%Y"}, parse_dates=parse_dates
-    )
+    with tm.assert_produces_warning(None):
+        result = parser.read_csv(
+            StringIO(data), date_format={key: "%d- %m-%Y"}, parse_dates=parse_dates
+        )
     expected = DataFrame(
         {
             key: [Timestamp("2019-12-31"), Timestamp("2020-12-31")],