diff --git a/apipe/store/datasets/bnetza_mastr_pv_ground_region/create.smk b/apipe/store/datasets/bnetza_mastr_pv_ground_region/create.smk
index 3def521..b5073af 100644
--- a/apipe/store/datasets/bnetza_mastr_pv_ground_region/create.smk
+++ b/apipe/store/datasets/bnetza_mastr_pv_ground_region/create.smk
@@ -103,5 +103,10 @@ rule create_development_over_time:
         df_combined["capacity_net"] = (
             df_combined["capacity_net"].div(1e3).round(1)
         )
+        # Fill missing years by using values from year before
+        df_combined = df_combined.set_index("year").reindex(
+            range(df_combined["year"].min(), df_combined["year"].max() + 1)
+        ).ffill().reset_index()
+
         df_combined["year"] = df_combined["year"].astype(int)
         df_combined.to_csv(output[0], index=False)
diff --git a/apipe/store/datasets/bnetza_mastr_pv_roof_region/create.smk b/apipe/store/datasets/bnetza_mastr_pv_roof_region/create.smk
index 1fb3e6a..64b4349 100644
--- a/apipe/store/datasets/bnetza_mastr_pv_roof_region/create.smk
+++ b/apipe/store/datasets/bnetza_mastr_pv_roof_region/create.smk
@@ -101,5 +101,10 @@ rule create_development_over_time:
         df_combined["capacity_net"] = (
             df_combined["capacity_net"].div(1e3).round(1)
         )
+        # Fill missing years by using values from year before
+        df_combined = df_combined.set_index("year").reindex(
+            range(df_combined["year"].min(), df_combined["year"].max() + 1)
+        ).ffill().reset_index()
+
         df_combined["year"] = df_combined["year"].astype(int)
         df_combined.to_csv(output[0], index=False)
diff --git a/apipe/store/datasets/bnetza_mastr_wind_region/create.smk b/apipe/store/datasets/bnetza_mastr_wind_region/create.smk
index f556809..725606c 100644
--- a/apipe/store/datasets/bnetza_mastr_wind_region/create.smk
+++ b/apipe/store/datasets/bnetza_mastr_wind_region/create.smk
@@ -94,5 +94,10 @@ rule create_development_over_time:
         df_combined["capacity_net"] = (
             df_combined["capacity_net"].div(1e3).round(1)
         )
+        # Fill missing years by using values from year before
+        df_combined = df_combined.set_index("year").reindex(
+            range(df_combined["year"].min(), df_combined["year"].max() + 1)
+        ).ffill().reset_index()
+
         df_combined["year"] = df_combined["year"].astype(int)
         df_combined.to_csv(output[0], index=False)