diff --git a/tests/system/test_pandas.py b/tests/system/test_pandas.py
index 78ca3e438..2955d08d8 100644
--- a/tests/system/test_pandas.py
+++ b/tests/system/test_pandas.py
@@ -312,10 +312,6 @@ def test_load_table_from_dataframe_w_automatic_schema(bigquery_client, dataset_i
     ]
 
 
-@pytest.mark.skipif(
-    PANDAS_INSTALLED_VERSION[0:2] in ["0."],
-    reason="Only `pandas version >=1.0.0` is supported",
-)
 def test_load_table_from_dataframe_w_nullable_int64_datatype(
     bigquery_client, dataset_id
 ):
@@ -343,10 +339,6 @@ def test_load_table_from_dataframe_w_nullable_int64_datatype(
     assert table.num_rows == 4
 
 
-@pytest.mark.skipif(
-    PANDAS_INSTALLED_VERSION[0:2] in ["0."],
-    reason="Only `pandas version >=1.0.0` is supported",
-)
 def test_load_table_from_dataframe_w_nullable_int64_datatype_automatic_schema(
     bigquery_client, dataset_id, table_id
 ):
diff --git a/tests/unit/test__pandas_helpers.py b/tests/unit/test__pandas_helpers.py
index 74a839347..ad40a6da6 100644
--- a/tests/unit/test__pandas_helpers.py
+++ b/tests/unit/test__pandas_helpers.py
@@ -61,8 +61,6 @@
 
 bigquery_storage = _versions_helpers.BQ_STORAGE_VERSIONS.try_import()
 
-PANDAS_MINIUM_VERSION = "1.0.0"
-
 if pandas is not None:
     PANDAS_INSTALLED_VERSION = metadata.version("pandas")
 else:
@@ -807,10 +805,7 @@ def test_list_columns_and_indexes_with_named_index_same_as_column_name(
     assert columns_and_indexes == expected
 
 
-@pytest.mark.skipif(
-    PANDAS_INSTALLED_VERSION[0:2] in ["0."],
-    reason="Only `pandas version >=1.0.0` is supported",
-)
+@pytest.mark.skipif(pandas is None, reason="Requires `pandas`")
 def test_dataframe_to_json_generator(module_under_test):
     utcnow = datetime.datetime.utcnow()
     df_data = collections.OrderedDict(
@@ -838,16 +833,8 @@ def test_dataframe_to_json_generator(module_under_test):
     assert list(rows) == expected
 
 
+@pytest.mark.skipif(pandas is None, reason="Requires `pandas`")
 def test_dataframe_to_json_generator_repeated_field(module_under_test):
-    pytest.importorskip(
-        "pandas",
-        minversion=str(PANDAS_MINIUM_VERSION),
-        reason=(
-            f"Requires `pandas version >= {PANDAS_MINIUM_VERSION}` "
-            "which introduces pandas.NA"
-        ),
-    )
-
     df_data = [
         collections.OrderedDict(
             [("repeated_col", [pandas.NA, 2, None, 4]), ("not_repeated_col", "first")]
diff --git a/tests/unit/test_client.py b/tests/unit/test_client.py
index 9787f95e5..7812fb26b 100644
--- a/tests/unit/test_client.py
+++ b/tests/unit/test_client.py
@@ -80,11 +80,6 @@
 from test_utils.imports import maybe_fail_import
 from tests.unit.helpers import make_connection
 
-if pandas is not None:
-    PANDAS_INSTALLED_VERSION = metadata.version("pandas")
-else:
-    PANDAS_INSTALLED_VERSION = "0.0.0"
-
 
 def _make_credentials():
     import google.auth.credentials
@@ -8146,11 +8141,8 @@ def test_load_table_from_dataframe_unknown_table(self):
             timeout=DEFAULT_TIMEOUT,
         )
 
-    @unittest.skipIf(
-        PANDAS_INSTALLED_VERSION[0:2] in ["0."],
-        reason="Only `pandas version >=1.0.0` is supported",
-    )
     @unittest.skipIf(pyarrow is None, "Requires `pyarrow`")
+    @unittest.skipIf(pandas is None, "Requires `pandas`")
     def test_load_table_from_dataframe_w_nullable_int64_datatype(self):
         from google.cloud.bigquery.client import _DEFAULT_NUM_RETRIES
         from google.cloud.bigquery import job
@@ -8194,11 +8186,8 @@ def test_load_table_from_dataframe_w_nullable_int64_datatype(self):
             SchemaField("x", "INT64", "NULLABLE", None),
         )
 
-    @unittest.skipIf(
-        PANDAS_INSTALLED_VERSION[0:2] in ["0."],
-        reason="Only `pandas version >=1.0.0` is supported",
-    )
     # @unittest.skipIf(pyarrow is None, "Requires `pyarrow`")
+    @unittest.skipIf(pandas is None, "Requires `pandas`")
     def test_load_table_from_dataframe_w_nullable_int64_datatype_automatic_schema(self):
         from google.cloud.bigquery.client import _DEFAULT_NUM_RETRIES
         from google.cloud.bigquery import job