diff --git a/doc/source/whatsnew/v1.1.0.rst b/doc/source/whatsnew/v1.1.0.rst
index 7920820b32620..8fdb442b6e16d 100644
--- a/doc/source/whatsnew/v1.1.0.rst
+++ b/doc/source/whatsnew/v1.1.0.rst
@@ -314,7 +314,7 @@ Conversion
 Strings
 ^^^^^^^
 
--
+- Bug in the :meth:`~Series.astype` method when converting "string" dtype data to nullable integer dtype (:issue:`32450`).
 -
 
 
diff --git a/pandas/core/arrays/string_.py b/pandas/core/arrays/string_.py
index f82790ac4c3d9..dbca8e74f5e1b 100644
--- a/pandas/core/arrays/string_.py
+++ b/pandas/core/arrays/string_.py
@@ -13,7 +13,8 @@
 
 from pandas import compat
 from pandas.core import ops
-from pandas.core.arrays import PandasArray
+from pandas.core.arrays import IntegerArray, PandasArray
+from pandas.core.arrays.integer import _IntegerDtype
 from pandas.core.construction import extract_array
 from pandas.core.indexers import check_array_indexer
 from pandas.core.missing import isna
@@ -271,6 +272,13 @@ def astype(self, dtype, copy=True):
             if copy:
                 return self.copy()
             return self
+        elif isinstance(dtype, _IntegerDtype):
+            arr = self._ndarray.copy()
+            mask = self.isna()
+            arr[mask] = 0
+            values = arr.astype(dtype.numpy_dtype)
+            return IntegerArray(values, mask, copy=False)
+
         return super().astype(dtype, copy)
 
     def _reduce(self, name, skipna=True, **kwargs):
diff --git a/pandas/tests/arrays/string_/test_string.py b/pandas/tests/arrays/string_/test_string.py
index 5e2f14af341ab..fe770eed84b62 100644
--- a/pandas/tests/arrays/string_/test_string.py
+++ b/pandas/tests/arrays/string_/test_string.py
@@ -214,6 +214,14 @@ def test_from_sequence_no_mutate(copy):
     tm.assert_numpy_array_equal(a, original)
 
 
+def test_astype_int():
+    arr = pd.array(["1", pd.NA, "3"], dtype="string")
+
+    result = arr.astype("Int64")
+    expected = pd.array([1, pd.NA, 3], dtype="Int64")
+    tm.assert_extension_array_equal(result, expected)
+
+
 @pytest.mark.parametrize("skipna", [True, False])
 @pytest.mark.xfail(reason="Not implemented StringArray.sum")
 def test_reduce(skipna):