diff --git a/docs/source/loading_data/using_entitysets.rst b/docs/source/loading_data/using_entitysets.rst
index a145a500f9..dd73d68a33 100644
--- a/docs/source/loading_data/using_entitysets.rst
+++ b/docs/source/loading_data/using_entitysets.rst
@@ -49,7 +49,8 @@ To get started, we load the transactions dataframe as an entity.
                                   dataframe=transactions_df,
                                   index="transaction_id",
                                   time_index="transaction_time",
-                                  variable_types={"product_id": ft.variable_types.Categorical})
+                                  variable_types={"product_id": ft.variable_types.Categorical,
+                                                  "zip_code": ft.variable_types.ZIPCode})
     es
 
 .. note ::
diff --git a/featuretools/demo/mock_customer.py b/featuretools/demo/mock_customer.py
index 4cc0b8858b..059b437a00 100644
--- a/featuretools/demo/mock_customer.py
+++ b/featuretools/demo/mock_customer.py
@@ -7,7 +7,7 @@
 from numpy.random import choice
 
 import featuretools as ft
-from featuretools.variable_types import Categorical
+from featuretools.variable_types import ZIPCode
 
 
 def load_mock_customer(n_customers=5, n_products=5, n_sessions=35, n_transactions=500,
@@ -50,7 +50,6 @@ def load_mock_customer(n_customers=5, n_products=5, n_sessions=35, n_transaction
 
     if return_single_table:
         return transactions_df.merge(sessions_df).merge(customers_df).merge(products_df).reset_index(drop=True)
-
     elif return_entityset:
         es = ft.EntitySet(id="transactions")
         es = es.entity_from_dataframe(entity_id="transactions",
@@ -72,7 +71,7 @@ def load_mock_customer(n_customers=5, n_products=5, n_sessions=35, n_transaction
                                       dataframe=customers_df,
                                       index="customer_id",
                                       time_index="join_date",
-                                      variable_types={"zip_code": Categorical})
+                                      variable_types={"zip_code": ZIPCode})
 
         rels = [ft.Relationship(es["products"]["product_id"],
                                 es["transactions"]["product_id"]),