diff --git a/q2_feature_table/_summarize/_visualizer.py b/q2_feature_table/_summarize/_visualizer.py
index 060633d..e799cb4 100644
--- a/q2_feature_table/_summarize/_visualizer.py
+++ b/q2_feature_table/_summarize/_visualizer.py
@@ -169,7 +169,8 @@ def summarize(output_dir: str, table: biom.Table,
     sample_frequencies.sort_values(inplace=True, ascending=False)
 
     sample_frequencies_json = pd.Series(["{:,}".format(int(x)) for x in
-                                         sample_frequencies])
+                                         sample_frequencies],
+                                        index=sample_frequencies.index)
 
     feature_frequencies.sort_values(inplace=True, ascending=False)
 
diff --git a/q2_feature_table/tests/test_summarize.py b/q2_feature_table/tests/test_summarize.py
index ab11d4a..fbae99d 100644
--- a/q2_feature_table/tests/test_summarize.py
+++ b/q2_feature_table/tests/test_summarize.py
@@ -9,6 +9,8 @@
 import os
 from unittest import TestCase, main
 import tempfile
+import re
+import json
 
 import skbio
 import biom
@@ -383,6 +385,24 @@ def test_basic(self):
             index_fp = os.path.join(output_dir, 'index.html')
             self.assertTrue(os.path.exists(index_fp))
 
+            sample_frequency_fp = os.path.join(output_dir,
+                                               'sample-frequency-detail.html')
+            self.assertTrue(os.path.exists(sample_frequency_fp))
+
+            rx = (r'<script id="table-data" type="application/json">' +
+                  r'\n.*[^}]*.*\n</script>')
+
+            with open(sample_frequency_fp) as fi:
+                text = fi.read()
+                tbl_rx = re.compile(rx)
+                tbl = tbl_rx.findall(text)[0].split('\n')[1].strip()
+
+                sample_ids = json.loads(tbl).keys()
+
+                self.assertTrue('S1' in sample_ids)
+                self.assertTrue('S2' in sample_ids)
+                self.assertTrue('S3' in sample_ids)
+
     def test_frequency_ranges_are_zero(self):
         table = biom.Table(np.array([[25, 25, 25], [25, 25, 25]]),
                            ['O1', 'O2'],