diff --git a/src/datadoc/backend/datadoc_metadata.py b/src/datadoc/backend/datadoc_metadata.py
index 6f394800..9b372142 100644
--- a/src/datadoc/backend/datadoc_metadata.py
+++ b/src/datadoc/backend/datadoc_metadata.py
@@ -24,6 +24,8 @@
 from datadoc.enums import Assessment
 from datadoc.enums import DataSetState
 from datadoc.enums import DataSetStatus
+from datadoc.enums import LanguageStringType
+from datadoc.enums import LanguageStringTypeItem
 from datadoc.frontend.fields.display_dataset import (
     OBLIGATORY_DATASET_METADATA_IDENTIFIERS,
 )
@@ -81,7 +83,6 @@ def _open_path(path: str) -> pathlib.Path | CloudPath:
         if path.startswith(GSPath.cloud_prefix):
             client = GSClient(credentials=AuthClient.fetch_google_credentials())
             return GSPath(path, client=client)
-
         return pathlib.Path(path)
 
     def _set_variable_uuid(self) -> None:
@@ -97,7 +98,6 @@ def extract_metadata_from_files(self) -> None:
         """
         if self.metadata_document is not None and self.metadata_document.exists():
             self.extract_metadata_from_existing_document(self.metadata_document)
-
         if (
             self.dataset_path is not None
             and self.dataset == model.Dataset()
@@ -112,9 +112,7 @@ def extract_metadata_from_files(self) -> None:
                     v.variable_role = model.VariableRole.MEASURE
                 if v.direct_person_identifying is None:
                     v.direct_person_identifying = False
-
         self._set_variable_uuid()
-
         if not self.dataset.id:
             self.dataset.id = uuid.uuid4()
         self.variables_lookup = {v.short_name: v for v in self.variables}
@@ -169,11 +167,9 @@ def extract_metadata_from_dataset(
         """
         self.ds_schema: DatasetParser = DatasetParser.for_file(dataset)
         dapla_dataset_path_info = DaplaDatasetPathInfo(dataset)
-
         subject_field = self._statistic_subject_mapping.get_secondary_subject(
             dapla_dataset_path_info.statistic_short_name,
         )
-
         self.dataset = model.Dataset(
             short_name=dapla_dataset_path_info.dataset_short_name,
             dataset_state=dapla_dataset_path_info.dataset_state,
@@ -187,6 +183,7 @@ def extract_metadata_from_dataset(
             file_path=str(self.dataset_path),
             metadata_created_by=user_info.get_user_info_for_current_platform().short_email,
             subject_field=subject_field,
+            spatial_coverage_description=self.set_default_spatial_coverage_description(),
         )
         self.variables = self.ds_schema.get_fields()
 
@@ -263,3 +260,14 @@ def percent_complete(self) -> int:
                 ],
             )
         return calculate_percentage(num_set_fields, num_all_fields)
+
+    def set_default_spatial_coverage_description(self) -> LanguageStringType:
+        """Returns the default value 'Norge'."""
+        return LanguageStringType(
+            [
+                LanguageStringTypeItem(
+                    languageCode="nb",
+                    languageText="Norge",
+                ),
+            ],
+        )
diff --git a/tests/backend/test_datadoc_metadata.py b/tests/backend/test_datadoc_metadata.py
index f93ad209..4efb6197 100644
--- a/tests/backend/test_datadoc_metadata.py
+++ b/tests/backend/test_datadoc_metadata.py
@@ -432,3 +432,9 @@ def test_existing_metadata_variables_valid_id(
         post_write_id: list = [v["id"] for v in json.load(f)["datadoc"]["variables"]]
 
     assert pre_open_id == post_write_id
+
+
+def test_default_spatial_coverage_description(metadata: DataDocMetadata):
+    metadata.extract_metadata_from_dataset(TEST_PARQUET_FILEPATH)
+    language_strings = metadata.dataset.spatial_coverage_description
+    assert language_strings.root[0].languageText == "Norge"  # type: ignore [union-attr, index]