diff --git a/etl/src/data/etl_property_capacities_monthly.py b/etl/src/data/etl_property_capacities_monthly.py
index 1fa78d6..a582af7 100644
--- a/etl/src/data/etl_property_capacities_monthly.py
+++ b/etl/src/data/etl_property_capacities_monthly.py
@@ -17,8 +17,11 @@ def property_capacities_monthly(id: int, scrapeDate: str):
 		df_calendar = df_calendar.transpose()
 		df_calendar = df_calendar.with_columns(pl.Series(name="dates", values=columnTitles))
 		df_calendar = df_calendar.with_columns((pl.col("dates").str.to_date()))
-		df_calendar = df_calendar.with_columns((pl.col("dates").dt.strftime("%b") + " " + (pl.col("dates").dt.strftime("%Y"))))
+		df_calendar = df_calendar.with_columns((pl.col("dates").dt.strftime("%b") + " " + (pl.col("dates").dt.strftime("%Y"))).alias('date_short'))
+		df_calendar = df_calendar.with_columns((pl.col("dates").dt.strftime("%Y") + " " + (pl.col("dates").dt.strftime("%m"))).alias('dates'))
 
-	df_calendar = df_calendar.group_by("dates").agg(pl.col("column_0").sum())
-	result = {"scraping-date": scrapeDate, "months": df_calendar['dates'].to_list(), 'capacities': df_calendar['column_0'].to_list()}
+	df_calendar = df_calendar.group_by(['dates', 'date_short']).agg(pl.col("column_0").sum())
+	df_calendar = df_calendar.sort('dates')
+	df_calendar = df_calendar.drop('dates')
+	result = {"scraping-date": scrapeDate, "months": df_calendar['date_short'].to_list(), 'capacities': df_calendar['column_0'].to_list()}
 	return result
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