diff --git a/python/docs/source/reference/pyspark.pandas/indexing.rst b/python/docs/source/reference/pyspark.pandas/indexing.rst
index 7e796c69dc..4168b6712b 100644
--- a/python/docs/source/reference/pyspark.pandas/indexing.rst
+++ b/python/docs/source/reference/pyspark.pandas/indexing.rst
@@ -240,6 +240,7 @@ MultiIndex Properties
    MultiIndex.nlevels
    MultiIndex.levshape
    MultiIndex.values
+   MultiIndex.dtypes
 
 MultiIndex components
 ~~~~~~~~~~~~~~~~~~~~~
diff --git a/python/pyspark/pandas/indexes/multi.py b/python/pyspark/pandas/indexes/multi.py
index cff3e2689b..896ea2af27 100644
--- a/python/pyspark/pandas/indexes/multi.py
+++ b/python/pyspark/pandas/indexes/multi.py
@@ -375,6 +375,35 @@ class MultiIndex(Index):
     def name(self, name: Name) -> None:
         raise PandasNotImplementedError(class_name="pd.MultiIndex", property_name="name")
 
+    @property
+    def dtypes(self) -> pd.Series:
+        """Return the dtypes as a Series for the underlying MultiIndex.
+
+        .. versionadded:: 3.3.0
+
+        Returns
+        -------
+        pd.Series
+            The data type of each level.
+
+        Examples
+        --------
+        >>> psmidx = ps.MultiIndex.from_arrays(
+        ...     [[0, 1, 2, 3, 4, 5, 6, 7, 8], [1, 2, 3, 4, 5, 6, 7, 8, 9]],
+        ...     names=("zero", "one"),
+        ... )
+        >>> psmidx.dtypes
+        zero    int64
+        one     int64
+        dtype: object
+        """
+        return pd.Series(
+            [field.dtype for field in self._internal.index_fields],
+            index=pd.Index(
+                [name if len(name) > 1 else name[0] for name in self._internal.index_names]
+            ),
+        )
+
     def _verify_for_rename(self, name: List[Name]) -> List[Label]:  # type: ignore[override]
         if is_list_like(name):
             if self._internal.index_level != len(name):
diff --git a/python/pyspark/pandas/tests/test_dataframe.py b/python/pyspark/pandas/tests/test_dataframe.py
index 1ae009cc56..800fa46ce0 100644
--- a/python/pyspark/pandas/tests/test_dataframe.py
+++ b/python/pyspark/pandas/tests/test_dataframe.py
@@ -6000,6 +6000,20 @@ class DataFrameTest(PandasOnSparkTestCase, SQLTestUtils):
             expected_pdf = pd.DataFrame({"A": [None, 0], "B": [4.0, 1.0], "C": [3, 3]})
             self.assert_eq(expected_pdf, psdf1.combine_first(psdf2))
 
+    def test_multi_index_dtypes(self):
+        # SPARK-36930: Support ps.MultiIndex.dtypes
+        arrays = [[1, 1, 2, 2], ["red", "blue", "red", "blue"]]
+        pmidx = pd.MultiIndex.from_arrays(arrays, names=("number", "color"))
+        psmidx = ps.from_pandas(pmidx)
+
+        self.assert_eq(psmidx.dtypes, pmidx.dtypes)
+
+        # multiple labels
+        pmidx = pd.MultiIndex.from_arrays(arrays, names=[("zero", "first"), ("one", "second")])
+        psmidx = ps.from_pandas(pmidx)
+
+        self.assert_eq(psmidx.dtypes, pmidx.dtypes)
+
 
 if __name__ == "__main__":
     from pyspark.pandas.tests.test_dataframe import *  # noqa: F401