diff --git a/colombia/datasets.py b/colombia/datasets.py
index 6f61d63..3237e4c 100644
--- a/colombia/datasets.py
+++ b/colombia/datasets.py
@@ -320,6 +320,53 @@ def load_trade4digit_municipality():
 }
 
 
+def read_trade4digit_rcpy_country():
+    df = pd.read_stata(prefix_path("Trade/exp_rcpy_rc_p4.dta"))
+    df["r"] = "COL"
+    return df
+
+
+trade4digit_rcpy_country = {
+    "read_function": read_trade4digit_rcpy_country,
+    "field_mapping": {
+        "r": "location",
+        "ctry_dest": "country",
+        "p": "product",
+        "yr": "year",
+        "X_rcpy_d": "export_value",
+        "NP_rcpy": "export_num_plants"
+    },
+    "classification_fields": {
+        "location": {
+            "classification": location_classification,
+            "level": "country"
+        },
+        "product": {
+            "classification": product_classification,
+            "level": "4digit"
+        },
+        "country": {
+            "classification": country_classification,
+            "level": "country"
+        },
+    },
+    "digit_padding": {
+        "country": 3,
+        "product": 4
+    },
+    "facet_fields": ["location", "country", "product", "year"],
+    "facets": {
+        ("country_id", "location_id", "year"): {
+            "export_value": sum_group,
+            "export_num_plants": sum_group
+        },
+        ("country_id", "location_id", "product_id", "year"): {
+            "export_value": first,
+            "export_num_plants": first
+        }
+    }
+}
+
 trade4digit_rcpy_department = {
     "read_function": lambda: pd.read_stata(prefix_path("Trade/exp_rcpy_r2_p4.dta")),
     "field_mapping": {
@@ -352,8 +399,8 @@ def load_trade4digit_municipality():
     "facet_fields": ["location", "country", "product", "year"],
     "facets": {
         ("country_id", "location_id", "year"): {
-            "export_value": first,
-            "export_num_plants": first
+            "export_value": sum_group,
+            "export_num_plants": sum_group
         },
         ("country_id", "location_id", "product_id", "year"): {
             "export_value": first,
@@ -363,6 +410,43 @@ def load_trade4digit_municipality():
 }
 
 
+trade4digit_rcpy_msa = {
+    "read_function": lambda: pd.read_stata(prefix_path("Trade/exp_rcpy_ra_p4.dta")),
+    "field_mapping": {
+        "r": "location",
+        "ctry_dest": "country",
+        "p": "product",
+        "yr": "year",
+        "X_rcpy_d": "export_value",
+        "NP_rcpy": "export_num_plants"
+    },
+    "classification_fields": {
+        "location": {
+            "classification": location_classification,
+            "level": "msa"
+        },
+        "product": {
+            "classification": product_classification,
+            "level": "4digit"
+        },
+        "country": {
+            "classification": country_classification,
+            "level": "country"
+        },
+    },
+    "digit_padding": {
+        "country": 3,
+        "product": 4
+    },
+    "facet_fields": ["location", "country", "product", "year"],
+    "facets": {
+        ("country_id", "location_id", "year"): {
+            "export_value": sum_group,
+            "export_num_plants": sum_group
+        }
+    }
+}
+
 trade4digit_rcpy_municipality = {
     "read_function": lambda: pd.read_stata(prefix_path("Trade/exp_rcpy_r5_p4.dta")),
     "field_mapping": {
diff --git a/colombia/import.py b/colombia/import.py
index f7d4a97..09777bf 100644
--- a/colombia/import.py
+++ b/colombia/import.py
@@ -10,7 +10,8 @@
                       industry4digit_msa, industry2digit_department,
                       industry4digit_municipality,
                       trade4digit_rcpy_municipality,
-                      trade4digit_rcpy_department, population,
+                      trade4digit_rcpy_department, trade4digit_rcpy_msa,
+                      trade4digit_rcpy_country, population,
                       gdp_nominal_department, gdp_real_department,
                       occupation2digit, occupation2digit_industry2digit)
 
@@ -130,6 +131,21 @@
             df.to_sql("msa_year", db.engine, index=False,
                       chunksize=10000, if_exists="append")
 
+            # Country - trade rcpy
+            ret = process_dataset(trade4digit_rcpy_country)
+
+            df = ret[("country_id", "location_id", "year")].reset_index()
+            df.to_sql("country_country_year", db.engine,
+                      index=False, chunksize=10000, if_exists="append")
+
+
+            # MSA - trade rcpy
+            ret = process_dataset(trade4digit_rcpy_msa)
+
+            df = ret[("country_id", "location_id", "year")].reset_index()
+            df.to_sql("country_msa_year", db.engine,
+                      index=False, chunksize=10000, if_exists="append")
+
             # Municipality - trade rcpy
             ret = process_dataset(trade4digit_rcpy_municipality)