diff --git a/spopt/locate/flow.py b/spopt/locate/flow.py
index ad2c0831..25917766 100644
--- a/spopt/locate/flow.py
+++ b/spopt/locate/flow.py
@@ -2183,7 +2183,8 @@ def to_dataframes(self, include_iterations: bool = True) -> dict[str, pd.DataFra
         dataframes["coverage"] = pd.DataFrame(coverage_data)
 
         covered_flow_sum = sum(
-            coverage.get("coverage", 0) for coverage in self.flow_coverage.values()
+            coverage.get("covered_volume", 0)
+            for coverage in self.flow_coverage.values()
         )
         total_flow = sum(self.flows.values())
         coverage_pct = covered_flow_sum / total_flow * 100
diff --git a/spopt/tests/test_locate/test_flow.py b/spopt/tests/test_locate/test_flow.py
index 84cfa603..d2f9223a 100644
--- a/spopt/tests/test_locate/test_flow.py
+++ b/spopt/tests/test_locate/test_flow.py
@@ -391,6 +391,18 @@ def test_dataframe_export(self, setup_solved_model):
         assert "destination" in dfs["coverage"].columns
         assert "covered_proportion" in dfs["coverage"].columns
 
+        covered = dfs["coverage"]["covered_volume"].sum()
+        total = dfs["coverage"]["flow_volume"].sum()
+        expected_pct = (covered / total) * 100 if total > 0 else 0
+        summary_pct = float(
+            dfs["summary"]
+            .loc[dfs["summary"]["Metric"] == "Coverage %", "Value"]
+            .iloc[0]
+            .replace("Flow Coverage: ", "")
+            .replace("%", "")
+        )
+        assert summary_pct == pytest.approx(expected_pct, abs=0.01)
+
     def test_solver_details(self, setup_solved_model):
         model = setup_solved_model
         details = model.get_solver_details()