diff --git a/buckaroo/analysis_management.py b/buckaroo/analysis_management.py
index d4f421b4..f6aa7da7 100644
--- a/buckaroo/analysis_management.py
+++ b/buckaroo/analysis_management.py
@@ -65,6 +65,7 @@ class NonExistentSummaryRowException(Exception):
     'float': [0.5] *10,
     'int': [8] *10,
     'negative': [-1] *10,
+    'UInt32': pd.Series([5]*10, dtype='UInt32')
     })
 
 class AnalsysisPipeline(object):
@@ -87,7 +88,6 @@ def process_summary_facts_set(self):
 
         self.provided_summary_facts_set = set(all_provided)
 
-
         #all is a special value that will dipslay every row
         if self.summary_stats_display and not self.summary_stats_display == "all":
             #verify that we have a way of computing all of the facts we are displaying
@@ -106,7 +106,7 @@ def unit_test(self):
         not implemented yet.
 
         This helps interactive development by doing a smoke test on
-        each new iteration of summary stats function
+        each new iteration of summary stats function.
 
         """
         try:
diff --git a/buckaroo/auto_clean.py b/buckaroo/auto_clean.py
index aeb8c83a..498eca83 100644
--- a/buckaroo/auto_clean.py
+++ b/buckaroo/auto_clean.py
@@ -56,21 +56,29 @@ def get_object_typing_metadata(ser):
                 counts['datetime_error'] += 1
         except (pd.core.tools.datetimes.DateParseError, ValueError, TypeError):
             counts['datetime_error'] += 1
-        try:
+
+        if isinstance(v, bool):
+            counts['bool'] += 1
+        else:
+            counts['bool_error'] += 1
+        if isinstance(v, str):
+            try:
+                int(v)
+                counts['int'] += 1
+            except ValueError:
+                counts['int_error'] += 1
+            try:
+                float(v)
+                counts['float'] += 1
+            except ValueError:
+                counts['float_error'] += 1
+        elif isinstance(v, float) or isinstance(v, int):
             int(v)
             counts['int'] += 1
-        except ValueError:
-            counts['int_error'] += 1
-        try:
             float(v)
             counts['float'] += 1
-        except ValueError:
-            counts['float_error'] += 1
+            
         
-        if isinstance(v, bool):
-            counts['bool'] += 1
-        else:
-            counts['bool_error'] += 1
 
     if len(ser) == 0:
         return counts
diff --git a/tests/auto_clean_test.py b/tests/auto_clean_test.py
index a4c9c2a0..8db2fbde 100644
--- a/tests/auto_clean_test.py
+++ b/tests/auto_clean_test.py
@@ -12,6 +12,8 @@
 
 INT_META = {'datetime': 0.0, 'datetime_error': 1.0, 'int': 0.75, 'int_error': 0.25, 'float': 0.75, 'float_error': 0.25, 'bool': 0.0, 'bool_error': 1.0}
 
+FULL_INT_META = {'datetime': 0.0, 'datetime_error': 0, 'int': 1, 'int_error': 0, 'float': 0, 'float_error': 0, 'bool': 0.0, 'bool_error': 0, 'exact_type': 'UInt32', 'general_type':'int'}
+
 FLOAT_META = {'datetime': 0.0, 'datetime_error': 1.0, 'int': 0.25, 'int_error': 0.75, 'float': 0.75, 'float_error': 0.25, 'bool': 0.0, 'bool_error': 1.0}
 
 STRING_META =  {'datetime': 0.0, 'datetime_error': 1.0, 'int': 0.0, 'int_error': 1.0, 'float': 0.25, 'float_error': 0.75, 'bool': 0.0, 'bool_error': 1.0}
@@ -61,6 +63,12 @@ def test_get_typing_metadata():
     
     #there are still problems here, the code isn't properly distinguishing bools from ints and bools
     assert BOOL_META == ac.get_typing_metadata(pd.Series(['a', 'b', False, True, False]))
+    assert FULL_INT_META == ac.get_typing_metadata(pd.Series([5]*10, dtype='UInt32'))
+
+    # what does the typing code do on "dtype" objects
+    ac.get_typing_metadata(pd.Series([pd.Series([5], dtype='UInt32').dtype]*3))
+
+
 
     #only nans
     assert ac.get_typing_metadata(pd.Series([None])) == ONLY_NANS_META