diff --git a/census/analyse.py b/census/analyse.py
index f88f91100..a10f39baf 100644
--- a/census/analyse.py
+++ b/census/analyse.py
@@ -214,6 +214,7 @@ def analyse(group: str, df: pd.DataFrame, full_df: pd.DataFrame, echo: bool = Fa
df_plural = df[df['7_aggr_mnogie'] == 1]
df_neuter = df[df['7_rodzaj neutralny'] == 1]
df_transition = df[df['24_'] == 'tak']
+ df_english = df[df['19_nie znam / nie używam angielskiego'] != 1].drop('19_nie znam / nie używam angielskiego', axis=1)
stats = {
'size': len(df),
@@ -224,6 +225,7 @@ def analyse(group: str, df: pd.DataFrame, full_df: pd.DataFrame, echo: bool = Fa
'size_neuter_percent': percent(len(df_neuter), len(df)),
'size_transition': len(df_transition),
'size_transition_subset_percent': percent(len(df_transition), len(df)),
+ 'size_english': len(df_english),
'age': pd.Series(build_ages_histogram(df)),
'ageStats': {
'avg': round(df['age'].mean(), 1),
@@ -257,7 +259,7 @@ def analyse(group: str, df: pd.DataFrame, full_df: pd.DataFrame, echo: bool = Fa
'names': extract_question_single(df, 17),
'namesAggr': extract_question(df, 17, include_answers=False, include_aggregates=True),
'namesDeclension': extract_question_single(df, 18),
- 'english': extract_question(df, 19, include_aggregates=True),
+ 'english': extract_question(df_english, 19, include_aggregates=True),
'labelsGender': extract_question(df, 20, include_aggregates=True, remove_underscores=False),
'labelsAttractionSplit': extract_question_single(df, 21),
'labelsSexuality': extract_question(df, 22, include_aggregates=True, remove_underscores=False),
diff --git a/locale/pl/docs/spis-2025/agab_f/age.html b/locale/pl/docs/spis-2025/agab_f/age.html
index 4f40ab790..2df6d85b6 100644
--- a/locale/pl/docs/spis-2025/agab_f/age.html
+++ b/locale/pl/docs/spis-2025/agab_f/age.html
@@ -6,6 +6,6 @@
+