diff --git a/dask/dataframe/core.py b/dask/dataframe/core.py
index e5b5a40bb41..75cd7a4bc51 100644
--- a/dask/dataframe/core.py
+++ b/dask/dataframe/core.py
@@ -4338,6 +4338,10 @@ def groupby(
             **kwargs,
         )
 
+    @derived_from(pd.Series)
+    def items(self):
+        return zip(self.index, self)
+
     @derived_from(pd.Series)
     def count(self, split_every=False):
         return super().count(split_every=split_every)
diff --git a/dask/dataframe/tests/test_dataframe.py b/dask/dataframe/tests/test_dataframe.py
index 06e3abdcfb8..b83c6dd5d8e 100644
--- a/dask/dataframe/tests/test_dataframe.py
+++ b/dask/dataframe/tests/test_dataframe.py
@@ -1433,6 +1433,15 @@ def test_unique():
     assert ddf.x.unique(split_every=2)._name != ddf.x.unique()._name
 
 
+def test_items():
+    s1 = pd.Series([1, 2, 3, 4], index=["a", "b", "c", "d"])
+    dask_s1 = dd.from_pandas(s1, npartitions=1)
+
+    for (k1, v1), (k2, v2) in zip(dask_s1.items(), s1.items()):
+        assert k1 == k2
+        assert_eq(v1, v2)
+
+
 def test_isin():
     f_list = [1, 2, 3]
     f_series = pd.Series(f_list)