diff --git a/dsew_community_profile/delphi_dsew_community_profile/pull.py b/dsew_community_profile/delphi_dsew_community_profile/pull.py
index 38ec49462..6ce698aba 100644
--- a/dsew_community_profile/delphi_dsew_community_profile/pull.py
+++ b/dsew_community_profile/delphi_dsew_community_profile/pull.py
@@ -240,8 +240,14 @@ def _parse_times_for_sheet(self, sheet):
                         self.times[dt.column][sig] = dt[sig]
             else:
                 self.times[dt.column] = dt
-        assert len(self.times) == 3, \
-            f"No times extracted from overheaders:\n{NEWLINE.join(str(s) for s in overheaders)}"
+
+        if self.publish_date <= datetime.date(2021, 1, 11):
+            # No vaccination data available, so we only have hospitalization and testing overheaders
+            assert len(self.times) == 2, \
+                f"No times extracted from overheaders:\n{NEWLINE.join(str(s) for s in overheaders)}"
+        else:
+            assert len(self.times) == 3, \
+                f"No times extracted from overheaders:\n{NEWLINE.join(str(s) for s in overheaders)}"
 
     @staticmethod
     def retain_header(header):
@@ -251,7 +257,7 @@ def retain_header(header):
             # include "Total RT-PCR diagnostic tests - [last|previous] 7 days ..."
             # include "NAAT positivity rate - [last|previous] 7 days ..."
             # include "Viral (RT-PCR) lab test positivity rate - [last|previous] 7 days ..."
-            # include "Booster doses administerd - [last|previous] 7 days ..."
+            # include "Booster doses administered - [last|previous] 7 days ..."
             # include "Doses administered - [last|previous] 7 days ..."
             (header.startswith("Total NAATs") or
              header.startswith("NAAT positivity rate") or
@@ -284,6 +290,8 @@ def retain_header(header):
             # exclude "People who are fully vaccinated - ages 5-11" ...
             # exclude "People who have received a booster dose - ages 65+" ...
             header.find(" age") < 0,
+            # exclude "People who are fully vaccinated - 12-17" ...
+            header.find("-") < 0,
         ]))
     def _parse_sheet(self, sheet):
         """Extract data frame for this sheet."""
@@ -311,40 +319,36 @@ def select_fn(h):
         ]
 
         for sig in SIGNALS:
+            ## Check if field is known to be missing
             # Hospital admissions not available at the county or CBSA level prior to Jan 8, 2021.
-            if (sheet.level == "msa" or sheet.level == "county") \
+            is_hosp_adm_before_jan8 = (sheet.level == "msa" or sheet.level == "county") \
                 and self.publish_date < datetime.date(2021, 1, 8) \
-                and sig == "confirmed covid-19 admissions":
-                self.dfs[(sheet.level, sig, NOT_PROP)] = pd.DataFrame(
-                        columns = ["geo_id", "timestamp", "val", \
-                            "se", "sample_size", "publish_date"]
-                    )
-                continue
-
-
-            # Vaccine data not available before May 2021.
-            if  self.publish_date < datetime.date(2021, 5, 1) \
-                and (sig in ["fully vaccinated", "doses administered"]) :
-                self.dfs[(sheet.level, sig, NOT_PROP)] = pd.DataFrame(
-                        columns = ["geo_id", "timestamp", "val", \
-                            "se", "sample_size", "publish_date"]
-                    )
-                continue
-
-
+                and sig == "confirmed covid-19 admissions"
             # Booster data not available before November 2021.
-            if  self.publish_date < datetime.date(2021, 11, 1) \
-                and (sig in ["booster dose since", "booster doses administered"]) :
-                self.dfs[(sheet.level, sig, NOT_PROP)] = pd.DataFrame(
-                        columns = ["geo_id", "timestamp", "val", \
-                            "se", "sample_size", "publish_date"]
-                    )
-                continue
-
+            is_booster_before_nov1 = self.publish_date < datetime.date(2021, 11, 1) \
+                and (sig in ["booster dose since", "booster doses administered"])
             # Booster and weekly doses administered not available below the state level.
-            if ((sheet.level != "hhs" and sheet.level != "state") \
+            is_booster_below_state = ((sheet.level != "hhs" and sheet.level != "state") \
                 and (sig in ["doses administered", \
-                 "booster doses administered", "booster dose since"])):
+                 "booster doses administered", "booster dose since"]))
+            # Weekly doses administered not available before Apr 29, 2021.
+            is_dose_admin_apr29 = self.publish_date <= datetime.date(2021, 4, 29) \
+                and sig == "doses administered"
+            # People fully vaccinated not available before Apr 11, 2021 at the CBSA level.
+            is_fully_vax_msa_before_apr11 = (sheet.level == "msa" or sheet.level == "county") \
+                and self.publish_date <= datetime.date(2021, 4, 11) \
+                and sig == "fully vaccinated"
+            # People fully vaccinated not available before March 08, 2021 at any geo level.
+            is_fully_vax_before_mar8 = self.publish_date <= datetime.date(2021, 3, 8) \
+                and sig == "fully vaccinated"
+
+            if any([is_hosp_adm_before_jan8,
+                is_booster_before_nov1,
+                is_booster_below_state,
+                is_dose_admin_apr29,
+                is_fully_vax_msa_before_apr11,
+                is_fully_vax_before_mar8
+            ]):
                 self.dfs[(sheet.level, sig, NOT_PROP)] = pd.DataFrame(
                         columns = ["geo_id", "timestamp", "val", \
                             "se", "sample_size", "publish_date"]