diff --git a/db/nexrad.sql b/db/nexrad.sql
index 5b8a872..04f78eb 100644
--- a/db/nexrad.sql
+++ b/db/nexrad.sql
@@ -3,8 +3,18 @@ select InitSpatialMetadata(1);
 
 begin transaction;
 
+create table nexrad_wfo (
+    code    TEXT NOT NULL,
+    city    TEXT NOT NULL,
+    state   TEXT NOT NULL,
+    address TEXT NOT NULL
+);
+
+select
+    AddGeometryColumn('nexrad_wfo', 'coord', 4326, 'POINT', 'XY', 1),
+    CreateSpatialIndex('nexrad_wfo', 'coord');
+
 create table nexrad_radar (
-    id             INTEGER PRIMARY KEY NOT NULL,
     wban           INTEGER,
     call           TEXT NOT NULL,
     name           TEXT NOT NULL,
diff --git a/lib/nexrad/wfo.py b/lib/nexrad/wfo.py
new file mode 100644
index 0000000..5485c8a
--- /dev/null
+++ b/lib/nexrad/wfo.py
@@ -0,0 +1,61 @@
+import csv
+import shapely
+
+from nexrad.db    import DatabaseTable
+from nexrad.coord import COORD_SYSTEM
+
+class WFO(DatabaseTable):
+    __slots__ = (
+        'code', 'city', 'state', 'address', 'coord'
+    )
+
+    __table__ = 'nexrad_wfo'
+    __key__   = 'code'
+
+    __columns__ = (
+        'code', 'city', 'state', 'address', 'coord'
+    )
+
+    __columns_read__ = {
+        'coord': 'ST_AsText(coord) as coord'
+    }
+
+    __values_read__ = {
+        'coord': shapely.from_wkt
+    }
+
+    __columns_write__ = {
+        'coord': 'MakePoint(:coord_lon, :coord_lat, {crs})'.format(crs=COORD_SYSTEM)
+    }
+
+    __values_write__ = {
+        'coord': lambda v: {'coord_lon': v.x, 'coord_lat': v.y}
+    }
+
+    id:       int
+    code:     str
+    city:     str
+    state:    str
+    adadress: str
+
+    @staticmethod
+    def from_tsv_row(row: list):
+        wfo = WFO()
+        wfo.code    = row[2]
+        wfo.city    = row[0]
+        wfo.state   = row[1]
+        wfo.address = row[3]
+        wfo.coord   = shapely.Point(float(row[5]), float(row[4]))
+
+        return wfo
+
+    @staticmethod
+    def each_from_tsv(file: str):
+        with open(file) as fh:
+            reader = csv.reader(fh, delimiter='\t')
+
+            for row in reader:
+                for i in range(0, len(row)):
+                    row[i] = row[i].rstrip()
+
+                yield WFO.from_tsv_row(row)