diff --git a/data/2023/results-en.xlsx b/data/2023/results-en.xlsx
index ee5037d..8a1f39f 100644
Binary files a/data/2023/results-en.xlsx and b/data/2023/results-en.xlsx differ
diff --git a/data/2023/results-fi.xlsx b/data/2023/results-fi.xlsx
index e84fba0..06c7c4a 100644
Binary files a/data/2023/results-fi.xlsx and b/data/2023/results-fi.xlsx differ
diff --git a/pulkka/data_ingest.py b/pulkka/data_ingest.py
index d9647c9..0743458 100644
--- a/pulkka/data_ingest.py
+++ b/pulkka/data_ingest.py
@@ -147,6 +147,11 @@ def read_data() -> pd.DataFrame:
     df[SUKUPUOLI_COL] = df[SUKUPUOLI_COL].apply(map_sukupuoli).astype("category")
     df[IKA_COL] = df[IKA_COL].astype("category")
 
+    # Assume that people entering 37.5 (hours) as their työaika means 100%
+    df.loc[df[TYOAIKA_COL] == 37.5, TYOAIKA_COL] = 100
+    # Assume there is no actual 10x koodari among us
+    df.loc[df[TYOAIKA_COL] == 1000, TYOAIKA_COL] = 100
+
     df[TYOAIKA_COL] = to_percentage(df[TYOAIKA_COL], 100)
     df[LAHITYO_COL] = to_percentage(df[LAHITYO_COL], 100)