diff --git a/src/bblocks_data_importers/who/ghed.py b/src/bblocks_data_importers/who/ghed.py
index 6990cd5..cb2641a 100644
--- a/src/bblocks_data_importers/who/ghed.py
+++ b/src/bblocks_data_importers/who/ghed.py
@@ -135,8 +135,8 @@ def _format_main_data(self) -> pd.DataFrame:
         return (
             pd.read_excel(self._raw_data, sheet_name="Data", dtype_backend="pyarrow")
             .drop(columns=["region", "income"])
-            .melt(id_vars=["country", "code", "year"], var_name="indicator_code")
-            .rename(columns={"country": Fields.country_name, "code": Fields.iso3_code})
+            .melt(id_vars=["location", "code", "year"], var_name="indicator_code")
+            .rename(columns={"location": Fields.country_name, "code": Fields.iso3_code})
             .pipe(convert_dtypes)
         )
 
@@ -189,7 +189,7 @@ def _format_metadata(self) -> pd.DataFrame:
         """
 
         cols = {
-            "country": Fields.country_name,
+            "location": Fields.country_name,
             "code": Fields.iso3_code,
             "variable name": Fields.indicator_name,
             "variable code": Fields.indicator_code,
@@ -197,7 +197,7 @@ def _format_metadata(self) -> pd.DataFrame:
             "Comments": "comments",
             "Data type": "data_type",
             "Methods of estimation": "methods_of_estimation",
-            "Country footnote": "country_footnote",
+            "Countries and territories footnote": "country_footnote",
         }
 
         try:
diff --git a/tests/test_data/test_ghed.XLSX b/tests/test_data/test_ghed.XLSX
index 1800bcc..453c40c 100644
Binary files a/tests/test_data/test_ghed.XLSX and b/tests/test_data/test_ghed.XLSX differ
diff --git a/tests/test_who/test_ghed.py b/tests/test_who/test_ghed.py
index 8341b55..1c7c4c2 100644
--- a/tests/test_who/test_ghed.py
+++ b/tests/test_who/test_ghed.py
@@ -198,7 +198,7 @@ def test_format_data_missing_columns(mock_raw_data):
 
     # format the raw data to remove a required column
     raw_df = pd.read_excel(mock_raw_data, sheet_name="Data")
-    raw_df.drop(columns=["country"], inplace=True)
+    raw_df.drop(columns=["location"], inplace=True)
     modified_raw_data = io.BytesIO()
     with pd.ExcelWriter(modified_raw_data, engine="xlsxwriter") as writer:
         raw_df.to_excel(writer, sheet_name="Data")