diff --git a/data/any_env.py b/data/any_env.py
index 2074dac9..6a32963d 100644
--- a/data/any_env.py
+++ b/data/any_env.py
@@ -15,7 +15,7 @@ def create_data_popen(X=None):
         pyversion = "3.8"
         _install_h2oaicore = False
         _install_datatable = True
-        _modules_needed_by_name = ["pandas==1.1.5"]
+        _modules_needed_by_name = ["pandas==1.5.3"]
 
         import os
         from h2oaicore.data import DataContribLoader
diff --git a/data/any_env2.py b/data/any_env2.py
index ce0781e2..9820aff6 100644
--- a/data/any_env2.py
+++ b/data/any_env2.py
@@ -119,9 +119,9 @@ class FreshEnvData(CustomData):
     # NOTE: Keep @wrap_create on a single line
     # NOTE: If want to share cache across recipes, can set cache_env=True and set id=<some unique identifier, like myrecipe12345>
     # Below caches the env into "id" folder
-    # @wrap_create(pyversion="3.8", install_h2oaicore=False, install_datatable=True, modules_needed_by_name=["pandas==1.1.5"], cache_env=True, file=__file__, id="myrecipe12345")
+    # @wrap_create(pyversion="3.8", install_h2oaicore=False, install_datatable=True, modules_needed_by_name=["pandas==1.5.3"], cache_env=True, file=__file__, id="myrecipe12345")
     # Below does not cache the env
-    @wrap_create(pyversion="3.8", install_h2oaicore=False, install_datatable=True, modules_needed_by_name=["pandas==1.1.5"], file=__file__)
+    @wrap_create(pyversion="3.8", install_h2oaicore=False, install_datatable=True, modules_needed_by_name=["pandas==1.5.3"], file=__file__)
     def create_data(X=None):
         import os
         import datatable as dt
diff --git a/data/any_env3.py b/data/any_env3.py
index 8f073b51..2df04eea 100644
--- a/data/any_env3.py
+++ b/data/any_env3.py
@@ -10,9 +10,9 @@ class FreshEnvData(CustomData):
     # NOTE: Keep @wrap_create on a single line
     # NOTE: If want to share cache across recipes, can set cache_env=True and set id=<some unique identifier, like myrecipe12345>
     # Below caches the env into "id" folder
-    # @wrap_create(pyversion="3.6", install_h2oaicore=False, install_datatable=True, modules_needed_by_name=["pandas==1.1.5"], cache_env=True, file=__file__, id="myrecipe12345")
+    # @wrap_create(pyversion="3.6", install_h2oaicore=False, install_datatable=True, modules_needed_by_name=["pandas==1.5.3"], cache_env=True, file=__file__, id="myrecipe12345")
     # Below does not cache the env
-    @wrap_create(pyversion="3.8", install_h2oaicore=False, install_datatable=True, modules_needed_by_name=["pandas==1.1.5"], file=__file__)
+    @wrap_create(pyversion="3.8", install_h2oaicore=False, install_datatable=True, modules_needed_by_name=["pandas==1.5.3"], file=__file__)
     def create_data(X=None):
         import os
         import datatable as dt
diff --git a/data/any_env4.py b/data/any_env4.py
index 0b0c0c81..7f2b9085 100644
--- a/data/any_env4.py
+++ b/data/any_env4.py
@@ -6,10 +6,10 @@
 class FreshEnvData(CustomData):
     # Specify the python package dependencies.  Will be installed in order of list
     # Below caches the env into "id" folder
-    # isolate_env = dict(pyversion="3.6", install_h2oaicore=False, install_datatable=True, modules_needed_by_name=["pandas==1.1.5"], cache_env=True, id="myrecipe12345")
+    # isolate_env = dict(pyversion="3.6", install_h2oaicore=False, install_datatable=True, modules_needed_by_name=["pandas==1.5.3"], cache_env=True, id="myrecipe12345")
     # Below does not cache the env
     isolate_env = dict(pyversion="3.8", install_h2oaicore=False, install_datatable=True,
-                       modules_needed_by_name=["pandas==1.1.5"])
+                       modules_needed_by_name=["pandas==1.5.3"])
 
     @staticmethod
     def create_data(X=None):