diff --git a/src/pytesmo/validation_framework/metric_calculators.py b/src/pytesmo/validation_framework/metric_calculators.py
index ae93c0a..32208f0 100644
--- a/src/pytesmo/validation_framework/metric_calculators.py
+++ b/src/pytesmo/validation_framework/metric_calculators.py
@@ -1790,8 +1790,8 @@ def calc_metrics(self, data, gpi_info):
                         result[(metric, name)][0] = res[j][0][i]
                         result[(metric + "_ci_lower", name)][0] = res[j][1][i]
                         result[(metric + "_ci_upper", name)][0] = res[j][2][i]
+                result["status"][0] = eh.OK
             except ValueError:
                 # if the calculation fails, the template results (np.nan) are used
-                pass
-        result["status"][0] = eh.OK
+                result["status"] = eh.METRICS_CALCULATION_FAILED
         return result
diff --git a/tests/test_validation_framework/test_metric_calculators.py b/tests/test_validation_framework/test_metric_calculators.py
index cd3c698..3929cf9 100644
--- a/tests/test_validation_framework/test_metric_calculators.py
+++ b/tests/test_validation_framework/test_metric_calculators.py
@@ -38,6 +38,7 @@
 
 from pytesmo.metrics import with_analytical_ci, with_bootstrapped_ci, pairwise
 from pytesmo.validation_framework.validation import Validation
+import pytesmo.validation_framework.error_handling as eh
 from pytesmo.validation_framework.metric_calculators import (
     MetadataMetrics,
     BasicMetrics,
@@ -1179,6 +1180,20 @@ def test_temporal_matching_ascat_ismn():
     assert old_results[old_key]["n_obs"] == new_results[new_key]["n_obs"]
 
 
+def test_TripleCollocationMetrics_failure():
+    """
+    Test if TripleCollocationMetrics returns the correct status attribute if
+    there is not enough data for bootstrapping.
+    """
+    df = make_some_data()
+    data = df.iloc[0:50][["ref", "k1", "k2"]]
+
+    triplet_metrics_calculator = TripleCollocationMetrics(
+        "ref", bootstrap_cis=True
+    )
+    res = triplet_metrics_calculator.calc_metrics(data, gpi_info=(0, 0, 0))
+    assert res["status"] == eh.METRICS_CALCULATION_FAILED
+
 # def test_sorting_issue():
 # GH #220
 # might be a good start for fixing the issue