diff --git a/comptages/core/report.py b/comptages/core/report.py
index 76f4415..e80be55 100644
--- a/comptages/core/report.py
+++ b/comptages/core/report.py
@@ -242,7 +242,12 @@ def _data_count_yearly(
         ws["B14"] = lanes[1].direction_desc
 
 
-def _data_day(count: models.Count, section: models.Section, monday, workbook: Workbook):
+def _data_day(
+        count: models.Count, 
+        section: models.Section, 
+        monday, 
+        workbook: Workbook
+    ):
     ws = workbook["Data_day"]
 
     # Monthly coefficients
@@ -353,15 +358,22 @@ def _data_day(count: models.Count, section: models.Section, monday, workbook: Wo
 
 
 def _data_day_yearly(
-    count: models.Count, section: models.Section, year: int, workbook: Workbook
-):
+        count: models.Count, 
+        section: models.Section, 
+        year: int, 
+        workbook: Workbook
+    ):
     ws = workbook["Data_day"]
 
     # Total (section)
     row_offset = 69
     col_offset = 2
 
-    df = statistics.get_time_data_yearly(year, section)
+    df = statistics.get_time_data_yearly(
+        year, 
+        section,
+        exclude_trash=True,
+    )
 
     if df is None:
         print(f"{datetime.now()}:_data_day_yearly - Pas de données pour cette section {section} et cette année {year} /!\\/!\\/!\\")
@@ -376,7 +388,10 @@ def _data_day_yearly(
     row_offset = 95
     col_offset = 2
     df = statistics.get_light_numbers_yearly(
-        section, start=datetime(year, 1, 1), end=datetime(year + 1, 1, 1)
+        section, 
+        start=datetime(year, 1, 1), 
+        end=datetime(year + 1, 1, 1),
+        exclude_trash=True,
     )
 
     for i in range(7):
@@ -395,9 +410,15 @@ def _data_day_yearly(
     row_offset = 5
     col_offset = 2
 
-    df = statistics.get_time_data_yearly(year, section, direction=1)
+    df = statistics.get_time_data_yearly(
+        year, 
+        section, 
+        direction=1,
+        exclude_trash=True,
+    )
 
     if df is None:
+        print(f"{datetime.now()}:_data_day_yearly - Pas de données pour cette section:{section}, cette direction:{direction} et cette année:{year} /!\\/!\\/!\\")
         return
 
     for i in range(7):
@@ -409,7 +430,11 @@ def _data_day_yearly(
     row_offset = 31
     col_offset = 2
     df = statistics.get_light_numbers_yearly(
-        section, start=datetime(year, 1, 1), end=datetime(year + 1, 1, 1), direction=1
+        section, 
+        start=datetime(year, 1, 1), 
+        end=datetime(year + 1, 1, 1), 
+        direction=1,
+        exclude_trash=True,
     )
 
     for i in range(7):
@@ -429,7 +454,12 @@ def _data_day_yearly(
         row_offset = 37
         col_offset = 2
 
-        df = statistics.get_time_data_yearly(year, section, direction=2)
+        df = statistics.get_time_data_yearly(
+            year, 
+            section, 
+            direction=2,
+            exclude_trash=True,
+        )
 
         for i in range(7):
             day_df = df[df["date"] == i]
@@ -444,6 +474,7 @@ def _data_day_yearly(
             start=datetime(year, 1, 1),
             end=datetime(year + 1, 1, 1),
             direction=2,
+            exclude_trash=True,
         )
 
         for i in range(7):
@@ -467,7 +498,12 @@ def _data_month_yearly(
     end = datetime(year + 1, 1, 1)
 
     # Section
-    df = statistics.get_month_data(section, start, end)
+    df = statistics.get_month_data(
+        section, 
+        start, 
+        end,
+        exclude_trash=True,
+    )
 
     row_offset = 14
     col_offset = 2
@@ -476,7 +512,13 @@ def _data_month_yearly(
         ws.cell(row=row_offset, column=col_offset + col.Index, value=col.tm)
 
     # Direction 1
-    df = statistics.get_month_data(section, start, end, direction=1)
+    df = statistics.get_month_data(
+        section, 
+        start, 
+        end, 
+        direction=1,
+        exclude_trash=True,
+    )
 
     row_offset = 4
     col_offset = 2
@@ -485,7 +527,13 @@ def _data_month_yearly(
         ws.cell(row=row_offset, column=col_offset + col.Index, value=col.tm)
 
     # Direction 2
-    df = statistics.get_month_data(section, start, end, direction=2)
+    df = statistics.get_month_data(
+        section, 
+        start, 
+        end, 
+        direction=2,
+        exclude_trash=True,
+    )
 
     row_offset = 9
     col_offset = 2
@@ -720,6 +768,7 @@ def _data_speed_yearly(
             end=end,
             speed_low=range_[0],
             speed_high=range_[1],
+            exclude_trash=True,
         )
 
         for row in res:
@@ -731,7 +780,13 @@ def _data_speed_yearly(
         col_offset = 16
         for i, v in enumerate(characteristic_speeds):
             df = statistics.get_characteristic_speed_by_hour(
-                None, section, direction=1, start=start, end=end, v=v
+                None, 
+                section, 
+                direction=1, 
+                start=start, 
+                end=end, 
+                v=v,
+                exclude_trash=True,
             )
             for row in df.itertuples():
                 ws.cell(
@@ -743,11 +798,12 @@ def _data_speed_yearly(
         col_offset = 19
 
         df = statistics.get_average_speed_by_hour(
-            count,
+            None,
             section,
             direction=1,
             start=start,
             end=end,
+            exclude_trash=True,
         )
         for row in df.itertuples():
             ws.cell(row=row_offset + row.Index, column=col_offset, value=row.speed)
@@ -758,13 +814,14 @@ def _data_speed_yearly(
         col_offset = 2
         for i, range_ in enumerate(speed_ranges):
             res = statistics.get_speed_data_by_hour(
-                count,
+                None,
                 section,
                 direction=2,
                 start=start,
                 end=end,
                 speed_low=range_[0],
                 speed_high=range_[1],
+                exclude_trash=True,
             )
 
             for row in res:
@@ -776,7 +833,13 @@ def _data_speed_yearly(
             col_offset = 16
             for i, v in enumerate(characteristic_speeds):
                 df = statistics.get_characteristic_speed_by_hour(
-                    count, section, direction=2, start=start, end=end, v=v
+                    None, 
+                    section, 
+                    direction=2, 
+                    start=start, 
+                    end=end, 
+                    v=v,
+                    exclude_trash=True,
                 )
                 for row in df.itertuples():
                     ws.cell(
@@ -790,11 +853,12 @@ def _data_speed_yearly(
             col_offset = 19
 
             df = statistics.get_average_speed_by_hour(
-                count,
+                None,
                 section,
                 direction=2,
                 start=start,
                 end=end,
+                exclude_trash=True,
             )
             for row in df.itertuples():
                 ws.cell(row=row_offset + row.Index, column=col_offset, value=row.speed)
diff --git a/comptages/core/statistics.py b/comptages/core/statistics.py
index c4683ba..2898f80 100644
--- a/comptages/core/statistics.py
+++ b/comptages/core/statistics.py
@@ -13,14 +13,14 @@
 
 
 def get_time_data(
-    count,
-    section,
-    lane=None,
-    direction=None,
-    start=None,
-    end=None,
-    exclude_trash=False,
-):
+        count,
+        section,
+        lane=None,
+        direction=None,
+        start=None,
+        end=None,
+        exclude_trash=False,
+    ):
     if not start:
         start = count.start_process_date
     if not end:
@@ -66,8 +66,12 @@ def get_time_data(
 
 
 def get_time_data_yearly(
-    year, section: models.Section, lane=None, direction=None
-) -> DataFrame:
+        year, 
+        section: models.Section, 
+        lane=None, 
+        direction=None,
+        exclude_trash=False,
+    ) -> DataFrame:
     """Vehicles by hour and day of the week"""
     start = datetime(year, 1, 1)
     end = datetime(year + 1, 1, 1)
@@ -82,6 +86,9 @@ def get_time_data_yearly(
         timestamp__lt=end,
     )
 
+    if exclude_trash:
+        qs = qs.exclude(id_category__trash=True)
+
     if lane is not None:
         qs = qs.filter(id_lane=lane)
 
@@ -119,15 +126,15 @@ def get_time_data_yearly(
 
 
 def get_day_data(
-    count: models.Count,
-    section=None,
-    lane=None,
-    direction=None,
-    status=None,
-    exclude_trash=False,
-    start=None,
-    end=None,
-) -> tuple[DataFrame, int]:
+        count: models.Count,
+        section=None,
+        lane=None,
+        direction=None,
+        status=None,
+        exclude_trash=False,
+        start=None,
+        end=None,
+    ) -> tuple[DataFrame, int]:
     if not start:
         start = count.start_process_date
     if not end:
@@ -176,12 +183,12 @@ def get_day_data(
 
 
 def get_category_data(
-    count: models.Count,
-    section: models.Section,
-    status=definitions.IMPORT_STATUS_DEFINITIVE,
-    start=None,
-    end=None,
-) -> DataFrame:
+        count: models.Count,
+        section: models.Section,
+        status=definitions.IMPORT_STATUS_DEFINITIVE,
+        start=None,
+        end=None,
+    ) -> DataFrame:
     if not start:
         start = count.start_process_date
     if not end:
@@ -221,12 +228,12 @@ def get_category_data(
 
 
 def get_speed_data(
-    count: models.Count,
-    section: models.Section,
-    exclude_trash=False,
-    start=None,
-    end=None,
-) -> DataFrame:
+        count: models.Count,
+        section: models.Section,
+        exclude_trash=False,
+        start=None,
+        end=None,
+    ) -> DataFrame:
     if not start:
         start = count.start_process_date
     if not end:
@@ -285,14 +292,14 @@ def get_speed_data(
 
 
 def get_light_numbers(
-    count: models.Count,
-    section: models.Section,
-    lane=None,
-    direction=None,
-    start=None,
-    end=None,
-    exclude_trash=False,
-) -> dict:
+        count: models.Count,
+        section: models.Section,
+        lane=None,
+        direction=None,
+        start=None,
+        end=None,
+        exclude_trash=False,
+    ) -> dict:
     if not start:
         start = count.start_process_date
     if not end:
@@ -330,8 +337,13 @@ def get_light_numbers(
 
 
 def get_light_numbers_yearly(
-    section: models.Section, lane=None, direction=None, start=None, end=None
-) -> DataFrame:
+        section: models.Section, 
+        lane=None, 
+        direction=None, 
+        start=None, 
+        end=None,
+        exclude_trash=False,
+    ) -> DataFrame:
     qs = models.CountDetail.objects.filter(
         id_lane__id_section=section,
         id_category__isnull=False,
@@ -339,6 +351,9 @@ def get_light_numbers_yearly(
         timestamp__lt=end,
     )
 
+    if exclude_trash:
+        qs = qs.exclude(id_category__trash=True)
+
     if lane is not None:
         qs = qs.filter(id_lane=lane)
 
@@ -356,16 +371,16 @@ def get_light_numbers_yearly(
 
 
 def get_speed_data_by_hour(
-    count: models.Count,
-    section: models.Section,
-    lane=None,
-    direction=None,
-    start=None,
-    end=None,
-    speed_low=0,
-    speed_high=15,
-    exclude_trash=False,
-) -> "ValuesQuerySet[models.CountDetail, Any]":
+        count: models.Count,
+        section: models.Section,
+        lane=None,
+        direction=None,
+        start=None,
+        end=None,
+        speed_low=0,
+        speed_high=15,
+        exclude_trash=False,
+    ) -> "ValuesQuerySet[models.CountDetail, Any]":
     if not start:
         start = count.start_process_date
     if not end:
@@ -405,15 +420,15 @@ def get_speed_data_by_hour(
 
 
 def get_characteristic_speed_by_hour(
-    count: models.Count,
-    section: models.Section,
-    lane=None,
-    direction=None,
-    start=None,
-    end=None,
-    v=0.15,
-    exclude_trash=False,
-) -> DataFrame:
+        count: models.Count,
+        section: models.Section,
+        lane=None,
+        direction=None,
+        start=None,
+        end=None,
+        v=0.15,
+        exclude_trash=False,
+    ) -> DataFrame:
     if not start:
         start = count.start_process_date
     if not end:
@@ -454,15 +469,15 @@ def get_characteristic_speed_by_hour(
 
 
 def get_average_speed_by_hour(
-    count: models.Count,
-    section: models.Section,
-    lane=None,
-    direction=None,
-    start=None,
-    end=None,
-    v=0.15,
-    exclude_trash=False,
-) -> DataFrame:
+        count: models.Count,
+        section: models.Section,
+        lane=None,
+        direction=None,
+        start=None,
+        end=None,
+        v=0.15,
+        exclude_trash=False,
+    ) -> DataFrame:
     if not start:
         start = count.start_process_date
     if not end:
@@ -476,6 +491,9 @@ def get_average_speed_by_hour(
         timestamp__lt=end,
     )
 
+    if exclude_trash:
+        qs = qs.exclude(id_category__trash=True)
+
     if count is not None:
         qs = qs.filter(id_count=count)
 
@@ -501,14 +519,14 @@ def get_average_speed_by_hour(
 
 
 def get_category_data_by_hour(
-    count: models.Count,
-    section: models.Section,
-    category,
-    lane=None,
-    direction=None,
-    start=None,
-    end=None,
-) -> "ValuesQuerySet[models.CountDetail, Any]":
+        count: models.Count,
+        section: models.Section,
+        category,
+        lane=None,
+        direction=None,
+        start=None,
+        end=None,
+    ) -> "ValuesQuerySet[models.CountDetail, Any]":
     if not start:
         start = count.start_process_date
     if not end:
@@ -553,7 +571,12 @@ def get_special_periods(first_day, last_day) -> QuerySet[models.SpecialPeriod]:
     return qs
 
 
-def get_month_data(section: models.Section, start, end, direction=None) -> DataFrame:
+def get_month_data(
+        section: models.Section, 
+        start, end, 
+        direction=None,
+        exclude_trash=False,
+    ) -> DataFrame:
     qs = models.CountDetail.objects.filter(
         id_lane__id_section=section, timestamp__gte=start, timestamp__lt=end
     )
@@ -566,6 +589,9 @@ def get_month_data(section: models.Section, start, end, direction=None) -> DataF
         .values("month", "tm", "import_status")
     )
 
+    if exclude_trash:
+        qs = qs.exclude(id_category__trash=True)
+
     if direction is not None:
         qs = qs.filter(id_lane__direction=direction)
 
diff --git a/comptages/report/template_yearly.xlsx b/comptages/report/template_yearly.xlsx
index 4cd05b4..8de2ff9 100644
Binary files a/comptages/report/template_yearly.xlsx and b/comptages/report/template_yearly.xlsx differ