diff --git a/featuretools/tests/entry_point_tests/test_primitives.py b/featuretools/tests/entry_point_tests/test_primitives.py
index e75cece144..a6d7c434ab 100644
--- a/featuretools/tests/entry_point_tests/test_primitives.py
+++ b/featuretools/tests/entry_point_tests/test_primitives.py
@@ -1,3 +1,5 @@
+
+
 from featuretools.tests.entry_point_tests.utils import (
     _import_featuretools,
     _install_featuretools_primitives,
@@ -21,3 +23,10 @@ def test_entry_point():
     existing_primitive += 'ignored primitive "Sum" from "featuretools_primitives.existing_primitive" because a primitive '
     existing_primitive += 'with that name already exists in "featuretools.primitives.standard.aggregation.sum_primitive"'
     assert existing_primitive in featuretools_log
+
+
+primitive_test_data = [
+    (MultiplyNumericScalar(2), [1, 2.5, -3], float),
+    (Year(), ["2020-01-01", "2019-12-31"], int)
+]
+
diff --git a/featuretools/tests/primitive_tests/test_primitive_input_types.py b/featuretools/tests/primitive_tests/test_primitive_input_types.py
new file mode 100644
index 0000000000..76f4dff6dc
--- /dev/null
+++ b/featuretools/tests/primitive_tests/test_primitive_input_types.py
@@ -0,0 +1,19 @@
+import pytest
+import featuretools as ft
+from featuretools.primitives import MultiplyNumericScalar, Year
+
+@pytest.mark.parametrize("primitive, expected_dtype", [
+    (MultiplyNumericScalar(2), "float"),
+    (Year(), "int")
+])
+def test_primitive_input_types(primitive, expected_dtype):
+    es = ft.demo.load_retail(nrows=10)
+    fm, features = ft.dfs(
+        entityset=es,
+        target_dataframe_name="orders",
+        trans_primitives=[primitive],
+        max_depth=1,
+    )
+    col = features[-1].get_name()
+    dtype = fm[col].dtype
+    assert expected_dtype in str(dtype), f"{primitive} returned dtype {dtype}"