diff --git a/domain/epc_prediction/__init__.py b/domain/epc_prediction/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/domain/epc_prediction/comparable_properties.py b/domain/epc_prediction/comparable_properties.py
new file mode 100644
index 00000000..6b87881b
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+++ b/domain/epc_prediction/comparable_properties.py
@@ -0,0 +1,100 @@
+"""Comparable Properties selection for EPC Prediction (ADR-0029).
+
+Given a `PredictionTarget` (the known inputs for an EPC-less Property) and the
+raw postcode cohort of candidate `Comparable`s, `select_comparables` chooses the
+reference cohort EPC Prediction synthesises from. Pure domain logic — the cohort
+IO (postcode search → per-cert fetch) lives behind a repository port.
+"""
+
+from __future__ import annotations
+
+from dataclasses import dataclass
+from typing import Callable, Optional, Union
+
+from datatypes.epc.domain.epc_property_data import EpcPropertyData
+
+# Default floor on the cohort: a conditioning filter (built form, a known
+# override) is applied only while at least this many comparables survive it,
+# else it is relaxed (ADR-0029 filter-then-relax ladder).
+_DEFAULT_MINIMUM_COHORT = 5
+
+
+@dataclass(frozen=True)
+class Comparable:
+    """One candidate neighbour: its structured `EpcPropertyData` picture plus the
+    register metadata not carried on the cert (identity for leave-one-out
+    exclusion; recency + address for weighting)."""
+
+    epc: EpcPropertyData
+    certificate_number: str
+
+
+@dataclass(frozen=True)
+class PredictionTarget:
+    """The known inputs for the Property whose EPC we are predicting — the fields
+    guaranteed at ingestion (plus any Landlord Overrides, added as they're used).
+    `built_form` is often but not always known.
+    """
+
+    postcode: str
+    property_type: str
+    built_form: Optional[str] = None
+    # A known Landlord Override (e.g. solid brick) conditions cohort selection —
+    # matching comparables are emphasised while enough remain (ADR-0029).
+    wall_construction: Optional[Union[int, str]] = None
+
+
+@dataclass(frozen=True)
+class ComparableProperties:
+    """The selected reference cohort for a `PredictionTarget`."""
+
+    members: tuple[Comparable, ...]
+
+
+def _maybe_filter(
+    cohort: list[Comparable],
+    predicate: Callable[[Comparable], bool],
+    *,
+    active: bool,
+    minimum_cohort: int,
+) -> list[Comparable]:
+    """Apply a conditioning filter only while it leaves at least
+    `minimum_cohort` comparables; otherwise relax it (keep the pre-filter
+    cohort) — the filter-then-relax ladder (ADR-0029)."""
+    if not active:
+        return cohort
+    filtered = [c for c in cohort if predicate(c)]
+    return filtered if len(filtered) >= minimum_cohort else cohort
+
+
+def select_comparables(
+    target: PredictionTarget,
+    candidates: list[Comparable],
+    *,
+    minimum_cohort: int = _DEFAULT_MINIMUM_COHORT,
+) -> ComparableProperties:
+    """Select the Comparable Properties for `target` from the raw postcode
+    cohort. Property type is an always-hard filter (a flat is never a comparable
+    for a house); built form is a conditioning filter on the relax ladder."""
+    cohort = [
+        c for c in candidates if c.epc.property_type == target.property_type
+    ]
+    cohort = _maybe_filter(
+        cohort,
+        lambda c: c.epc.built_form == target.built_form,
+        active=target.built_form is not None,
+        minimum_cohort=minimum_cohort,
+    )
+    cohort = _maybe_filter(
+        cohort,
+        lambda c: _main_wall_construction(c) == target.wall_construction,
+        active=target.wall_construction is not None,
+        minimum_cohort=minimum_cohort,
+    )
+    return ComparableProperties(members=tuple(cohort))
+
+
+def _main_wall_construction(comparable: Comparable) -> object:
+    """The main building part's wall construction, or None when no part lodged."""
+    parts = comparable.epc.sap_building_parts
+    return parts[0].wall_construction if parts else None
diff --git a/tests/domain/epc_prediction/__init__.py b/tests/domain/epc_prediction/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/tests/domain/epc_prediction/test_comparable_properties.py b/tests/domain/epc_prediction/test_comparable_properties.py
new file mode 100644
index 00000000..4894c017
--- /dev/null
+++ b/tests/domain/epc_prediction/test_comparable_properties.py
@@ -0,0 +1,126 @@
+"""Behaviour of Comparable Properties selection (ADR-0029): given a prediction
+target's known inputs and the raw postcode cohort, choose + weight the
+comparables EPC Prediction will synthesise from. Filter-then-relax ladder:
+hard filters on identity (property type, built form) + known overrides while
+enough remain, weighted by recency × similarity. Pure domain logic.
+"""
+
+from typing import Optional, Union
+
+from datatypes.epc.domain.epc_property_data import EpcPropertyData, SapBuildingPart
+from domain.epc_prediction.comparable_properties import (
+    Comparable,
+    ComparableProperties,
+    PredictionTarget,
+    select_comparables,
+)
+
+
+def _comparable(
+    *,
+    property_type: str,
+    certificate_number: str,
+    built_form: str = "1",
+    wall_construction: Optional[Union[int, str]] = None,
+) -> Comparable:
+    """A Comparable carrying only the fields under test (opaque EpcPropertyData
+    with property_type / built_form / main wall set — the partial-instance idiom)."""
+    epc: EpcPropertyData = object.__new__(EpcPropertyData)
+    epc.property_type = property_type
+    epc.built_form = built_form
+    main: SapBuildingPart = object.__new__(SapBuildingPart)
+    if wall_construction is not None:
+        main.wall_construction = wall_construction
+    epc.sap_building_parts = [main]
+    return Comparable(epc=epc, certificate_number=certificate_number)
+
+
+def test_selects_only_candidates_of_the_same_property_type() -> None:
+    # Arrange — a target house (property_type "2"); cohort of 2 houses + 1 flat.
+    target = PredictionTarget(postcode="LS6 1AA", property_type="2")
+    candidates = [
+        _comparable(property_type="2", certificate_number="A"),
+        _comparable(property_type="2", certificate_number="B"),
+        _comparable(property_type="1", certificate_number="C"),
+    ]
+
+    # Act
+    result: ComparableProperties = select_comparables(target, candidates)
+
+    # Assert — the flat is excluded; the two houses remain.
+    assert {c.certificate_number for c in result.members} == {"A", "B"}
+
+
+def test_filters_to_the_known_built_form_when_enough_remain() -> None:
+    # Arrange — a mid-terrace target (built_form "4"); cohort of 5 mid-terraces
+    # + 2 detached, all houses. The built form is known and leaves ≥ k, so it is
+    # applied as a hard filter.
+    target = PredictionTarget(
+        postcode="LS6 1AA", property_type="2", built_form="4"
+    )
+    candidates = [
+        _comparable(property_type="2", built_form="4", certificate_number=f"T{i}")
+        for i in range(5)
+    ] + [
+        _comparable(property_type="2", built_form="1", certificate_number=f"D{i}")
+        for i in range(2)
+    ]
+
+    # Act
+    result: ComparableProperties = select_comparables(
+        target, candidates, minimum_cohort=5
+    )
+
+    # Assert — only the five mid-terraces survive.
+    assert {c.certificate_number for c in result.members} == {
+        "T0", "T1", "T2", "T3", "T4"
+    }
+
+
+def test_known_wall_override_emphasises_matching_comparables() -> None:
+    # Arrange — a mixed street: 5 solid-brick (code 2) + 3 cavity (code 1) houses.
+    # We KNOW the target is solid brick (a Landlord Override), and the filter
+    # leaves ≥ k, so cavity neighbours are dropped (the border-property case).
+    target = PredictionTarget(
+        postcode="LS6 1AA", property_type="2", wall_construction=2
+    )
+    candidates = [
+        _comparable(property_type="2", wall_construction=2, certificate_number=f"S{i}")
+        for i in range(5)
+    ] + [
+        _comparable(property_type="2", wall_construction=1, certificate_number=f"C{i}")
+        for i in range(3)
+    ]
+
+    # Act
+    result: ComparableProperties = select_comparables(
+        target, candidates, minimum_cohort=5
+    )
+
+    # Assert — only the solid-brick comparables remain.
+    assert {c.certificate_number for c in result.members} == {
+        "S0", "S1", "S2", "S3", "S4"
+    }
+
+
+def test_known_wall_override_relaxes_when_too_few_match() -> None:
+    # Arrange — only 2 solid-brick but 6 cavity houses; the override would leave
+    # 2 (< k=5), so it relaxes to keep the full type cohort (graceful degradation).
+    target = PredictionTarget(
+        postcode="LS6 1AA", property_type="2", wall_construction=2
+    )
+    candidates = [
+        _comparable(property_type="2", wall_construction=2, certificate_number=f"S{i}")
+        for i in range(2)
+    ] + [
+        _comparable(property_type="2", wall_construction=1, certificate_number=f"C{i}")
+        for i in range(6)
+    ]
+
+    # Act
+    result: ComparableProperties = select_comparables(
+        target, candidates, minimum_cohort=5
+    )
+
+    # Assert — relaxed: all eight houses retained.
+    assert len(result.members) == 8