diff --git a/packages/domain/src/domain/sap/worksheet/tests/test_water_heating.py b/packages/domain/src/domain/sap/worksheet/tests/test_water_heating.py
index 4a10da7e..5c4816af 100644
--- a/packages/domain/src/domain/sap/worksheet/tests/test_water_heating.py
+++ b/packages/domain/src/domain/sap/worksheet/tests/test_water_heating.py
@@ -15,7 +15,10 @@ from domain.sap.worksheet.tests import (
     _elmhurst_worksheet_000490 as _w000490,
 )
 from domain.sap.worksheet.tests._xlsx_loader import load_cells
-from domain.sap.worksheet.water_heating import assumed_occupancy
+from domain.sap.worksheet.water_heating import (
+    assumed_occupancy,
+    hot_water_other_uses_monthly_l_per_day,
+)
 
 
 def test_assumed_occupancy_matches_canonical_xlsx_worked_example() -> None:
@@ -60,6 +63,65 @@ def test_assumed_occupancy_matches_elmhurst_worksheet_000490() -> None:
     assert n == pytest.approx(_w000490.LINE_42_OCCUPANCY, abs=1e-4)
 
 
+def test_hot_water_other_uses_matches_elmhurst_worksheet_000490() -> None:
+    """SAP10.2 §4 line (42c)m via Appendix J equation J11:
+        V_d,other,ave = 9.8 × N + 14
+        V_d,other[m]  = V_d,other,ave × J2_monthly_factor[m]
+
+    For 000490 (N=2.1468) the worksheet (42c)m values follow the Table J2
+    monthly factor pattern of (1.10, 1.06, 1.02, 0.98, 0.94, 0.90, 0.90,
+    0.94, 0.98, 1.02, 1.06, 1.10) applied to V_d,other,ave ≈ 35.04 L/day.
+    """
+    # Arrange — expected values copied from the Elmhurst worksheet
+    expected = (
+        38.5426, 37.1411, 35.7395, 34.3380, 32.9364, 31.5349,
+        31.5349, 32.9364, 34.3380, 35.7395, 37.1411, 38.5426,
+    )
+
+    # Act
+    monthly = hot_water_other_uses_monthly_l_per_day(
+        n_occupants=_w000490.LINE_42_OCCUPANCY,
+        low_water_use=False,
+    )
+
+    # Assert
+    for m, (actual, exp) in enumerate(zip(monthly, expected)):
+        assert actual == pytest.approx(exp, abs=1e-3), f"month {m+1}"
+
+
+def test_hot_water_other_uses_matches_elmhurst_worksheet_000474() -> None:
+    """Same (42c)m formula for 000474 (N=1.8896): V_d,other,ave ≈ 32.52
+    L/day; Jan = 32.52 × 1.10 ≈ 35.77."""
+    # Arrange
+    expected = (
+        35.7697, 34.4690, 33.1682, 31.8675, 30.5668, 29.2661,
+        29.2661, 30.5668, 31.8675, 33.1682, 34.4690, 35.7697,
+    )
+
+    # Act
+    monthly = hot_water_other_uses_monthly_l_per_day(
+        n_occupants=_w000474.LINE_42_OCCUPANCY,
+        low_water_use=False,
+    )
+
+    # Assert
+    for m, (actual, exp) in enumerate(zip(monthly, expected)):
+        assert actual == pytest.approx(exp, abs=1e-3), f"month {m+1}"
+
+
+def test_hot_water_other_uses_low_water_use_target_reduces_by_5pct() -> None:
+    """Appendix J J11 footnote: dwellings designed for ≤125 L/person/day
+    total water use get the V_d,other,ave reduced by 5%. Monthly factors
+    apply after the reduction."""
+    # Arrange / Act
+    normal = hot_water_other_uses_monthly_l_per_day(n_occupants=2.0, low_water_use=False)
+    lwu = hot_water_other_uses_monthly_l_per_day(n_occupants=2.0, low_water_use=True)
+
+    # Assert
+    for m, (n, l) in enumerate(zip(normal, lwu)):
+        assert l == pytest.approx(n * 0.95, abs=1e-9), f"month {m+1}"
+
+
 def test_assumed_occupancy_floor_at_n_eq_1_for_small_dwellings() -> None:
     """Appendix J piecewise definition: TFA ≤ 13.9 m² → N=1 exactly. A
     tiny studio flat at the boundary is the most common trigger."""
diff --git a/packages/domain/src/domain/sap/worksheet/water_heating.py b/packages/domain/src/domain/sap/worksheet/water_heating.py
index d3cf5a7b..bb780468 100644
--- a/packages/domain/src/domain/sap/worksheet/water_heating.py
+++ b/packages/domain/src/domain/sap/worksheet/water_heating.py
@@ -29,6 +29,16 @@ from typing import Final
 
 _OCCUPANCY_TFA_FLOOR_M2: Final[float] = 13.9
 
+# Table J2 — monthly factors for hot water use (also used by Appendix J
+# equation J11 for "other uses"). Symmetric about the year midpoint.
+_TABLE_J2_MONTHLY_FACTORS: Final[tuple[float, ...]] = (
+    1.10, 1.06, 1.02, 0.98, 0.94, 0.90, 0.90, 0.94, 0.98, 1.02, 1.06, 1.10,
+)
+
+# Appendix J J11 footnote: -5% reduction in V_d,other,ave for dwellings
+# designed to ≤125 L/person/day total water use.
+_LOW_WATER_USE_REDUCTION: Final[float] = 0.05
+
 
 def assumed_occupancy(total_floor_area_m2: float) -> float:
     """SAP 10.2 §4 line (42) / Appendix J Table 1b.
@@ -42,3 +52,23 @@ def assumed_occupancy(total_floor_area_m2: float) -> float:
         return 1.0
     x = total_floor_area_m2 - _OCCUPANCY_TFA_FLOOR_M2
     return 1.0 + 1.76 * (1.0 - exp(-0.000349 * x * x)) + 0.0013 * x
+
+
+def hot_water_other_uses_monthly_l_per_day(
+    *, n_occupants: float, low_water_use: bool
+) -> tuple[float, ...]:
+    """SAP 10.2 §4 line (42c)m via Appendix J equation J11.
+
+    Annual-average daily hot water use for "other purposes" (i.e. not
+    showers, not baths — sinks, dishwashers, etc.):
+
+        V_d,other,ave = 9.8 × N + 14
+
+    reduced by 5% if `low_water_use` is True (dwelling designed for ≤125
+    L/person/day total water use). The monthly array applies Table J2's
+    factor sequence so each entry is daily L for that month.
+    """
+    annual_average = 9.8 * n_occupants + 14.0
+    if low_water_use:
+        annual_average *= 1.0 - _LOW_WATER_USE_REDUCTION
+    return tuple(annual_average * f for f in _TABLE_J2_MONTHLY_FACTORS)