diff --git a/pandas/core/methods/to_dict.py b/pandas/core/methods/to_dict.py
index aea95e4684573..75003675dc173 100644
--- a/pandas/core/methods/to_dict.py
+++ b/pandas/core/methods/to_dict.py
@@ -198,7 +198,9 @@ def to_dict(
 if i in object_dtype_indices_as_set
 else list(map(maybe_box_native, v.to_numpy())),
 )
- for i, (box_na_value, (k, v)) in enumerate(zip(box_na_values, df.items()))
+ for i, (box_na_value, (k, v)) in enumerate(
+ zip(box_na_values, df.items(), strict=True)
+ )
 )
 
 elif orient == "split":
@@ -235,12 +237,13 @@ def to_dict(
 columns = df.columns.tolist()
 if are_all_object_dtype_cols:
 return [
- into_c(zip(columns, map(maybe_box_native, row)))
+ into_c(zip(columns, map(maybe_box_native, row), strict=True))
 for row in df.itertuples(index=False, name=None)
 ]
 else:
 data = [
- into_c(zip(columns, t)) for t in df.itertuples(index=False, name=None)
+ into_c(zip(columns, t, strict=True))
+ for t in df.itertuples(index=False, name=None)
 ]
 if box_native_indices:
 object_dtype_indices_as_set = set(box_native_indices)
@@ -260,7 +263,7 @@ def to_dict(
 columns = df.columns.tolist()
 if are_all_object_dtype_cols:
 return into_c(
- (t[0], dict(zip(df.columns, map(maybe_box_native, t[1:]))))
+ (t[0], dict(zip(df.columns, map(maybe_box_native, t[1:]), strict=True)))
 for t in df.itertuples(name=None)
 )
 elif box_native_indices:
@@ -272,14 +275,17 @@ def to_dict(
 column: maybe_box_native(v)
 if i in object_dtype_indices_as_set
 else v
- for i, (column, v) in enumerate(zip(columns, t[1:]))
+ for i, (column, v) in enumerate(
+ zip(columns, t[1:], strict=True)
+ )
 },
 )
 for t in df.itertuples(name=None)
 )
 else:
 return into_c(
- (t[0], dict(zip(columns, t[1:]))) for t in df.itertuples(name=None)
+ (t[0], dict(zip(columns, t[1:], strict=True)))
+ for t in df.itertuples(name=None)
 )
 
 else:
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