diff --git a/sqlite_utils/db.py b/sqlite_utils/db.py
index 0d23e0b..e781e2a 100644
--- a/sqlite_utils/db.py
+++ b/sqlite_utils/db.py
@@ -1,5 +1,5 @@
 from .utils import sqlite3, OperationalError, suggest_column_types
-from collections import namedtuple
+from collections import namedtuple, OrderedDict
 import datetime
 import hashlib
 import itertools
diff --git a/sqlite_utils/utils.py b/sqlite_utils/utils.py
index 0645300..6da6d47 100644
--- a/sqlite_utils/utils.py
+++ b/sqlite_utils/utils.py
@@ -18,10 +18,11 @@ def suggest_column_types(records):
     for key, types in all_column_types.items():
         if len(types) == 1:
             t = list(types)[0]
-            # But if it's list / tuple / dict, use str instead as we
-            # will be storing it as JSON in the table
-            if t in (list, tuple, dict):
-                t = str
+            # But if it's a subclass of list / tuple / dict, use str
+            # instead as we will be storing it as JSON in the table
+            for superclass in (list, tuple, dict):
+                if issubclass(t, superclass):
+                    t = str
         elif {int, bool}.issuperset(types):
             t = int
         elif {int, float, bool}.issuperset(types):
diff --git a/tests/test_create.py b/tests/test_create.py
index 15e73cf..7f22ded 100644
--- a/tests/test_create.py
+++ b/tests/test_create.py
@@ -621,6 +621,7 @@ def test_create_index_if_not_exists(fresh_db):
         ["list with", "two items"],
         {"dictionary": "simple"},
         {"dictionary": {"nested": "complex"}},
+        collections.OrderedDict([("key1", {"nested": "complex"}), ("key2", "foo"),]),
         [{"list": "of"}, {"two": "dicts"}],
     ),
 )
diff --git a/tests/test_suggest_column_types.py b/tests/test_suggest_column_types.py
index d9fe6ff..9427444 100644
--- a/tests/test_suggest_column_types.py
+++ b/tests/test_suggest_column_types.py
@@ -1,4 +1,5 @@
 import pytest
+from collections import OrderedDict
 from sqlite_utils.utils import suggest_column_types
 
 
@@ -11,6 +12,7 @@ from sqlite_utils.utils import suggest_column_types
         ([{"a": [1]}], {"a": str}),
         ([{"a": (1,)}], {"a": str}),
         ([{"a": {"b": 1}}], {"a": str}),
+        ([{"a": OrderedDict({"b": 1})}], {"a": str}),
         ([{"a": 1}, {"a": 1.1}], {"a": float}),
         ([{"a": b"b"}], {"a": bytes}),
     ],