backend/app.py

@@ -41,7 +41,7 @@ from .data_loader import get_data_info as get_db_info
 from . import flags
 from .places import build_place_index, build_place_registry, places_for_urn
 from .schemas import METRIC_DEFINITIONS, PHASE_GROUPS, RANKING_COLUMNS, SCHOOL_COLUMNS
-from .similar_schools import select_similar
+from .nearby_schools import select_nearby
 from .utils import clean_for_json, convert_to_native
 
 # Values to exclude from filter dropdowns (empty strings, non-applicable labels)
@@ -266,10 +266,10 @@ def _places_payload(urn: int) -> list[dict]:
     return payload
 
 
-def _similar_schools_payload(urn: int) -> list[dict]:
+def _nearby_schools_payload(urn: int) -> list[dict]:
     """The nearest eligible schools this page may offer, closest first.
 
-    Phase and reach are read from the school's own row inside select_similar,
+    Phase and reach are read from the school's own row inside select_nearby,
     so nothing here can hand it a phase that disagrees with the data.
 
     Wrapped: a failure in selection must never 500 a page that is otherwise
@@ -277,12 +277,12 @@ def _similar_schools_payload(urn: int) -> list[dict]:
     section simply does not render.
     """
     try:
-        return select_similar(load_latest_school_data(), int(urn))
+        return select_nearby(load_latest_school_data(), int(urn))
     except Exception:
         import logging
 
         logging.getLogger(__name__).exception(
-            "Similar schools selection failed for urn=%s", urn
+            "Nearby schools selection failed for urn=%s", urn
         )
         return []
 
@@ -1000,7 +1000,7 @@ async def get_school_details(request: Request, urn: int):
         # The nearest eligible schools, closest first. Always present on a
         # build with this code; the frontend treats absent and empty
         # identically, which is what lets the two images deploy independently.
-        "similar_schools": _similar_schools_payload(urn),
+        "nearby_schools": _nearby_schools_payload(urn),
         "yearly_data": clean_for_json(school_data),
         # Supplementary data (null if not yet populated by Kestra)
         "ofsted": supplementary.get("ofsted"),

backend/nearby_schools.py

@@ -183,7 +183,7 @@ def _shared(subject: pd.Series, candidate: pd.Series, is_secondary: bool) -> lis
     return shared
 
 
-def select_similar(frame: pd.DataFrame, urn: int) -> list[dict]:
+def select_nearby(frame: pd.DataFrame, urn: int) -> list[dict]:
     """The nearest eligible schools, closest first — at most MAX_SCHOOLS, and
     none at all below MINIMUM.
 

backend/schemas.py

@@ -536,7 +536,7 @@ RANKING_COLUMNS = [
 # include. All-through schools appear in both primary and secondary results,
 # which is why this is a set per phase rather than a single string comparison.
 #
-# Lives here rather than in app.py because similar_schools.py needs it too, and
+# Lives here rather than in app.py because nearby_schools.py needs it too, and
 # importing app from there would be a cycle.
 PHASE_GROUPS: dict[str, set[str]] = {
     "primary": {"primary", "middle deemed primary", "all-through"},

backend/tests/test_nearby_schools.py

@@ -15,10 +15,10 @@ card and never reorders the row.
 import numpy as np
 import pandas as pd
 
-from backend.similar_schools import (
+from backend.nearby_schools import (
     is_secondary_phase,
     radius_miles,
-    select_similar,
+    select_nearby,
 )
 
 BASE_LAT, BASE_LON = 51.5000, -0.1000
@@ -66,7 +66,7 @@ def test_returns_nearest_first():
         _row(100003, "Near", latitude=_at(0.4)),
         _row(100004, "Far", latitude=_at(1.8)),
     )
-    result = select_similar(frame, 100001)
+    result = select_nearby(frame, 100001)
     assert [s["urn"] for s in result] == [100003, 100002, 100004]
     assert result[0]["distance_miles"] == 0.4
 
@@ -81,7 +81,7 @@ def test_a_faith_match_never_outranks_a_closer_school():
         _row(100004, "Sacred Heart RC", religious_denomination="Roman Catholic", latitude=_at(1.2)),
         _row(100005, "St Peter's RC", religious_denomination="Roman Catholic", latitude=_at(1.6)),
     )
-    result = select_similar(frame, 100001)
+    result = select_nearby(frame, 100001)
     assert result[0]["urn"] == 100002, "the nearest school leads, whatever its intake"
     assert [s["distance_miles"] for s in result] == sorted(s["distance_miles"] for s in result)
 
@@ -98,7 +98,7 @@ def test_the_nearest_eligible_school_is_always_shown():
             for n in range(6)
         ],
     )
-    assert select_similar(frame, 100001)[0]["urn"] == 100002
+    assert select_nearby(frame, 100001)[0]["urn"] == 100002
 
 
 def test_caps_at_six_taking_the_nearest():
@@ -106,7 +106,7 @@ def test_caps_at_six_taking_the_nearest():
         _row(100001, "Subject"),
         *[_row(100010 + n, f"Peer {n}", latitude=_at(0.1 * (n + 1))) for n in range(7)],
     )
-    result = select_similar(frame, 100001)
+    result = select_nearby(frame, 100001)
     assert len(result) == 6
     assert 100016 not in {s["urn"] for s in result}, "the seventh-nearest is the one dropped"
 
@@ -116,7 +116,7 @@ def test_fewer_than_two_matches_returns_empty():
         _row(100001, "Subject"),
         _row(100002, "Only neighbour", latitude=_at(0.5)),
     )
-    assert select_similar(frame, 100001) == []
+    assert select_nearby(frame, 100001) == []
 
 
 def test_excludes_the_subject_school():
@@ -125,7 +125,7 @@ def test_excludes_the_subject_school():
         _row(100002, "A", latitude=_at(0.5)),
         _row(100003, "B", latitude=_at(0.6)),
     )
-    assert 100001 not in {s["urn"] for s in select_similar(frame, 100001)}
+    assert 100001 not in {s["urn"] for s in select_nearby(frame, 100001)}
 
 
 def test_a_school_is_never_listed_twice():
@@ -134,7 +134,7 @@ def test_a_school_is_never_listed_twice():
         _row(100002, "A", latitude=_at(0.5)),
         _row(100003, "B", latitude=_at(0.6)),
     )
-    result = select_similar(frame, 100001)
+    result = select_nearby(frame, 100001)
     assert len(result) == len({s["urn"] for s in result})
 
 
@@ -151,7 +151,7 @@ def test_primary_does_not_reach_past_two_miles():
     )
     # One inside the cap is below the minimum, so nothing renders at all —
     # a primary with nothing within two miles has no nearby schools.
-    assert select_similar(frame, 100001) == []
+    assert select_nearby(frame, 100001) == []
 
 
 def test_secondary_reaches_further_than_primary():
@@ -160,7 +160,7 @@ def test_secondary_reaches_further_than_primary():
         _row(100002, "A", phase="Secondary", latitude=_at(3.0)),
         _row(100003, "B", phase="Secondary", latitude=_at(5.5)),
     )
-    assert {s["urn"] for s in select_similar(frame, 100001)} == {100002, 100003}
+    assert {s["urn"] for s in select_nearby(frame, 100001)} == {100002, 100003}
 
 
 def test_the_cap_follows_the_phase():
@@ -183,8 +183,8 @@ def test_selective_never_meets_non_selective():
         _row(100002, "Comp A", phase="Secondary", admissions_policy="Non-selective", latitude=_at(0.5)),
         _row(100003, "Comp B", phase="Secondary", admissions_policy="Non-selective", latitude=_at(0.6)),
     )
-    assert select_similar(frame, 100001) == []
-    assert 100001 not in {s["urn"] for s in select_similar(frame, 100002)}
+    assert select_nearby(frame, 100001) == []
+    assert 100001 not in {s["urn"] for s in select_nearby(frame, 100002)}
 
 
 def test_special_schools_match_only_each_other():
@@ -193,8 +193,8 @@ def test_special_schools_match_only_each_other():
         _row(100002, "Mainstream A", latitude=_at(0.5)),
         _row(100003, "Mainstream B", latitude=_at(0.6)),
     )
-    assert select_similar(frame, 100001) == []
-    assert select_similar(frame, 100002) == []
+    assert select_nearby(frame, 100001) == []
+    assert select_nearby(frame, 100002) == []
 
 
 def test_boys_never_meets_girls():
@@ -204,7 +204,7 @@ def test_boys_never_meets_girls():
         _row(100003, "Mixed School", gender="Mixed", latitude=_at(0.6)),
         _row(100004, "Another Mixed", gender="Mixed", latitude=_at(0.7)),
     )
-    urns = {s["urn"] for s in select_similar(frame, 100001)}
+    urns = {s["urn"] for s in select_nearby(frame, 100001)}
     assert 100002 not in urns
     assert urns == {100003, 100004}
 
@@ -217,7 +217,7 @@ def test_closed_schools_and_missing_coordinates_are_dropped():
         _row(100004, "Good A", latitude=_at(0.6)),
         _row(100005, "Good B", latitude=_at(0.7)),
     )
-    assert {s["urn"] for s in select_similar(frame, 100001)} == {100004, 100005}
+    assert {s["urn"] for s in select_nearby(frame, 100001)} == {100004, 100005}
 
 
 def test_all_through_is_offered_on_both_phase_sides():
@@ -226,14 +226,14 @@ def test_all_through_is_offered_on_both_phase_sides():
         _row(100002, "All through", phase="All-through", latitude=_at(0.5)),
         _row(100003, "Primary peer", phase="Primary", latitude=_at(0.6)),
     )
-    assert 100002 in {s["urn"] for s in select_similar(frame, 100001)}
+    assert 100002 in {s["urn"] for s in select_nearby(frame, 100001)}
 
     secondary = _frame(
         _row(100010, "Secondary subject", phase="Secondary"),
         _row(100002, "All through", phase="All-through", latitude=_at(0.5)),
         _row(100011, "Secondary peer", phase="Secondary", latitude=_at(0.6)),
     )
-    assert 100002 in {s["urn"] for s in select_similar(secondary, 100010)}
+    assert 100002 in {s["urn"] for s in select_nearby(secondary, 100010)}
 
 
 def test_sixteen_plus_is_matched_against_secondary_not_primary():
@@ -248,7 +248,7 @@ def test_sixteen_plus_is_matched_against_secondary_not_primary():
         _row(100003, "Nearby College", phase="16 plus", latitude=_at(0.6)),
         _row(100004, "Nearby Primary", phase="Primary", latitude=_at(0.1)),
     )
-    result = select_similar(frame, 100001)
+    result = select_nearby(frame, 100001)
     urns = {s["urn"] for s in result}
     assert 100004 not in urns, "a primary school is not a peer for a sixth form"
     assert urns == {100002, 100003}
@@ -278,7 +278,7 @@ def test_shared_lists_only_what_is_actually_shared():
         _row(100003, "Faith differs", phase="Secondary", gender="Mixed",
              religious_denomination="Church of England", admissions_policy="Non-selective", latitude=_at(0.6)),
     )
-    by_urn = {s["urn"]: s for s in select_similar(frame, 100001)}
+    by_urn = {s["urn"]: s for s in select_nearby(frame, 100001)}
     assert by_urn[100002]["shared"] == ["Mixed", "Non-selective", "No religious character"]
     assert by_urn[100003]["shared"] == ["Mixed", "Non-selective"]
 
@@ -289,7 +289,7 @@ def test_a_shared_faith_is_named():
         _row(100002, "Also RC", religious_denomination="Roman Catholic", latitude=_at(0.4)),
         _row(100003, "Secular", religious_denomination="None", latitude=_at(0.5)),
     )
-    by_urn = {s["urn"]: s for s in select_similar(frame, 100001)}
+    by_urn = {s["urn"]: s for s in select_nearby(frame, 100001)}
     assert "Roman Catholic" in by_urn[100002]["shared"]
     assert by_urn[100003]["shared"] == ["Mixed"]
 
@@ -300,7 +300,7 @@ def test_shared_is_empty_when_nothing_is_shared():
         _row(100002, "A", gender="Mixed", religious_denomination="None", latitude=_at(0.4)),
         _row(100003, "B", gender="Mixed", religious_denomination="Church of England", latitude=_at(0.5)),
     )
-    assert all(s["shared"] == [] for s in select_similar(frame, 100001))
+    assert all(s["shared"] == [] for s in select_nearby(frame, 100001))
 
 
 def test_no_tier_is_reported_because_there_are_no_tiers():
@@ -309,7 +309,7 @@ def test_no_tier_is_reported_because_there_are_no_tiers():
         _row(100002, "A", latitude=_at(0.4)),
         _row(100003, "B", latitude=_at(0.5)),
     )
-    assert all("tier" not in s for s in select_similar(frame, 100001))
+    assert all("tier" not in s for s in select_nearby(frame, 100001))
 
 
 def test_metric_follows_the_phase_side_not_the_neighbour():
@@ -318,7 +318,7 @@ def test_metric_follows_the_phase_side_not_the_neighbour():
         _row(100002, "A", phase="Secondary", attainment_8_score=52.8, latitude=_at(0.5)),
         _row(100003, "B", phase="Secondary", attainment_8_score=np.nan, latitude=_at(0.6)),
     )
-    by_urn = {s["urn"]: s for s in select_similar(frame, 100001)}
+    by_urn = {s["urn"]: s for s in select_nearby(frame, 100001)}
     assert by_urn[100002]["metric_key"] == "attainment_8_score"
     assert by_urn[100002]["metric_value"] == 52.8
     assert by_urn[100002]["metric_year"] == 202425
@@ -331,7 +331,7 @@ def test_values_are_json_safe_native_types():
         _row(100002, "A", latitude=_at(0.5)),
         _row(100003, "B", latitude=_at(0.6)),
     )
-    for school in select_similar(frame, 100001):
+    for school in select_nearby(frame, 100001):
         assert isinstance(school["urn"], int)
         assert isinstance(school["distance_miles"], float)
         assert not isinstance(school["metric_value"], np.generic)
@@ -366,7 +366,7 @@ def client(monkeypatch):
 def test_detail_payload_carries_nearby_schools(client):
     resp = client.get("/api/schools/100001")
     assert resp.status_code == 200, resp.text
-    similar = resp.json()["similar_schools"]
+    similar = resp.json()["nearby_schools"]
     assert [s["school_name"] for s in similar] == ["Neighbour A", "Neighbour B"]
     assert similar[0]["metric_key"] == "rwm_expected_pct"
 
@@ -377,7 +377,7 @@ def test_a_failure_in_selection_does_not_break_the_page(client, monkeypatch):
     def _explode(*args, **kwargs):
         raise ValueError("selection blew up")
 
-    monkeypatch.setattr(app_module, "select_similar", _explode)
+    monkeypatch.setattr(app_module, "select_nearby", _explode)
     resp = client.get("/api/schools/100001")
     assert resp.status_code == 200, resp.text
-    assert resp.json()["similar_schools"] == []
+    assert resp.json()["nearby_schools"] == []

docs/ARCHITECTURE.md

@@ -73,12 +73,12 @@ There is no SWR dependency. Leaflet maps are loaded through dynamic wrappers;
 Chart.js renders performance and comparison charts.
 
 `components/school/` contains detail sections, with section decisions and data
-preparation in `lib/schoolSections.ts`. The similar-schools section is selected
-in `backend/similar_schools.py` — hard filters that never relax (phase,
-provision, selectivity, gender) and soft preferences that do (religious
-character, then gender exactness) — and served on `/api/schools/{urn}`. Its
-rules are presentation logic, deliberately kept out of `marts.*` so they can be
-tuned by deploy rather than by pipeline run. `lib/types.ts` contains manually maintained
+preparation in `lib/schoolSections.ts`. The nearby-schools section is selected in
+`backend/nearby_schools.py` — hard filters decide eligibility (phase, provision,
+selectivity, gender) and distance alone decides the order, capped per phase —
+and served on `/api/schools/{urn}`. Its rules are presentation logic,
+deliberately kept out of `marts.*` so they can be tuned by deploy rather than by
+pipeline run. `lib/types.ts` contains manually maintained
 API types. `payload-types.ts` and the Payload import map are generated artifacts.
 
 ## Publication and caching today

nextjs-app/__tests__/components/NearbySchoolsSection.test.tsx

@@ -9,24 +9,24 @@ import { render, screen } from '@testing-library/react';
 
 import {
   nearbyNoun,
-  SimilarSchoolsSection,
-  shouldRenderSimilar,
-} from '@/components/school/SimilarSchoolsSection';
-import type { SimilarSchool } from '@/lib/types';
+  NearbySchoolsSection,
+  shouldRenderNearby,
+} from '@/components/school/NearbySchoolsSection';
+import type { NearbySchool } from '@/lib/types';
 
 jest.mock('@/components/school/AddToCompareButton', () => ({
-  AddToCompareButton: ({ school }: { school: SimilarSchool }) => (
+  AddToCompareButton: ({ school }: { school: NearbySchool }) => (
     <button type="button">Add {school.school_name} to compare</button>
   ),
 }));
 
-jest.mock('@/components/school/SimilarSchoolsCompareBar', () => ({
-  SimilarSchoolsCompareBar: ({ thisUrn }: { thisUrn: number }) => (
+jest.mock('@/components/school/NearbySchoolsCompareBar', () => ({
+  NearbySchoolsCompareBar: ({ thisUrn }: { thisUrn: number }) => (
     <div data-testid="compare-bar">bar for {thisUrn}</div>
   ),
 }));
 
-function school(overrides: Partial<SimilarSchool> = {}): SimilarSchool {
+function school(overrides: Partial<NearbySchool> = {}): NearbySchool {
   return {
     urn: 100002,
     school_name: 'Willow Lane Primary School',
@@ -41,14 +41,14 @@ function school(overrides: Partial<SimilarSchool> = {}): SimilarSchool {
   };
 }
 
-function renderSection(similar: SimilarSchool[]) {
+function renderSection(nearby: NearbySchool[]) {
   return render(
-    <SimilarSchoolsSection
+    <NearbySchoolsSection
       urn={100001}
       schoolName="Meadowbrook Primary School"
       phase="Primary"
       thisMetricValue={72}
-      similar={similar}
+      nearby={nearby}
     />,
   );
 }
@@ -60,11 +60,11 @@ describe('render gates', () => {
     ['empty', []],
     ['a single school', [school()]],
   ])('renders nothing for %s', (_label, value) => {
-    expect(shouldRenderSimilar(value as SimilarSchool[] | null | undefined)).toBe(false);
+    expect(shouldRenderNearby(value as NearbySchool[] | null | undefined)).toBe(false);
   });
 
   it('renders for two or more schools', () => {
-    expect(shouldRenderSimilar([school(), school({ urn: 100003 })])).toBe(true);
+    expect(shouldRenderNearby([school(), school({ urn: 100003 })])).toBe(true);
   });
 
   it('returns null rather than an empty shell below the minimum', () => {
@@ -91,12 +91,12 @@ describe('what the section claims', () => {
 
   it('shows no chips at all when nothing is shared, rather than inventing one', () => {
     const { container } = render(
-      <SimilarSchoolsSection
+      <NearbySchoolsSection
         urn={100001}
         schoolName="Meadowbrook Primary School"
         phase="Primary"
         thisMetricValue={72}
-        similar={[school({ shared: [] }), school({ urn: 100003, shared: [] })]}
+        nearby={[school({ shared: [] }), school({ urn: 100003, shared: [] })]}
       />,
     );
     // The card still carries its distance, name, type and figure — just no
@@ -124,12 +124,12 @@ describe('what the lede calls the set', () => {
 
   it('never calls a sixth form college\'s neighbours primary schools', () => {
     render(
-      <SimilarSchoolsSection
+      <NearbySchoolsSection
         urn={100001}
         schoolName="Barnet Sixth Form College"
         phase="16 plus"
         thisMetricValue={null}
-        similar={[school(), school({ urn: 100003 })]}
+        nearby={[school(), school({ urn: 100003 })]}
       />,
     );
     expect(screen.getByText(/Other schools and colleges near Barnet Sixth Form College/)).toBeInTheDocument();

nextjs-app/app/(frontend)/school/[slug]/page.tsx

@@ -8,7 +8,7 @@ import { APIFetchError, fetchSchoolDetails, fetchSchools, fetchNationalAverages
 import { notFound, redirect } from 'next/navigation';
 import { SchoolDetailShell } from '@/components/school/SchoolDetailShell';
 import { NearbyPlaces } from '@/components/school/NearbyPlaces';
-import { shouldRenderSimilar } from '@/components/school/SimilarSchoolsSection';
+import { shouldRenderNearby } from '@/components/school/NearbySchoolsSection';
 import { schoolBreadcrumbJsonLd, type SchoolPlace } from '@/lib/jsonld';
 import { PrimarySchoolSections } from '@/components/school/PrimarySchoolSections';
 import { SecondarySchoolSections } from '@/components/school/SecondarySchoolSections';
@@ -157,7 +157,7 @@ export default async function SchoolPage({ params }: SchoolPageProps) {
   // lockstep deploy of the two images.
   const places: SchoolPlace[] = data.places ?? [];
   // Absent on an older API build, exactly like `places` above.
-  const similarSchools = data.similar_schools ?? [];
+  const nearbySchools = data.nearby_schools ?? [];
 
   // Redirect bare URN to canonical slug URL
   const canonicalSlug = schoolUrl(urn, school_info.school_name).replace('/school/', '');
@@ -189,7 +189,7 @@ export default async function SchoolPage({ params }: SchoolPageProps) {
     admissions: admissions ?? null,
     admissionDistance: admission_distance ?? null,
     hasLocation: school_info.latitude != null && school_info.longitude != null,
-    hasNearbySchools: shouldRenderSimilar(similarSchools),
+    hasNearbySchools: shouldRenderNearby(nearbySchools),
     yearlyDataLength: yearly_data.length,
   };
   const primaryNavItems = buildNavItems(primaryFlags, navInput);
@@ -266,7 +266,7 @@ export default async function SchoolPage({ params }: SchoolPageProps) {
             finance={finance ?? null}
             nationalAvg={nationalAvg}
             destinations={destinations ?? null}
-            similarSchools={similarSchools}
+            nearbySchools={nearbySchools}
             flags={secondaryFlags}
           />
         </SchoolDetailShell>
@@ -289,7 +289,7 @@ export default async function SchoolPage({ params }: SchoolPageProps) {
             deprivation={deprivation ?? null}
             finance={finance ?? null}
             nationalAvg={nationalAvg}
-            similarSchools={similarSchools}
+            nearbySchools={nearbySchools}
             flags={primaryFlags}
           />
         </SchoolDetailShell>

nextjs-app/components/school/AddToCompareButton.tsx

@@ -9,10 +9,10 @@
  */
 
 import { useComparisonContext } from '@/context/ComparisonContext';
-import type { School, SimilarSchool } from '@/lib/types';
-import styles from './SimilarSchools.module.css';
+import type { School, NearbySchool } from '@/lib/types';
+import styles from './NearbySchools.module.css';
 
-export function AddToCompareButton({ school }: { school: SimilarSchool }) {
+export function AddToCompareButton({ school }: { school: NearbySchool }) {
   const { addSchool, removeSchool, selectedSchools } = useComparisonContext();
   const selected = selectedSchools.some((s) => s.urn === school.urn);
 

nextjs-app/components/school/NearbySchoolsCarousel.tsx

@@ -14,7 +14,7 @@
  */
 
 import { useCallback, useEffect, useRef, useState, type ReactNode } from 'react';
-import styles from './SimilarSchools.module.css';
+import styles from './NearbySchools.module.css';
 
 /** Three cards fit the row, so fewer than four has nowhere to scroll to.
  *  Below 640px the arrows are not rendered at all — see the stylesheet. */
@@ -31,7 +31,7 @@ const VISIBLE = 3;
  */
 const EDGE = 8;
 
-export function SimilarSchoolsCarousel({
+export function NearbySchoolsCarousel({
   count,
   labelledBy,
   header,

nextjs-app/components/school/NearbySchoolsCompareBar.tsx

@@ -11,15 +11,15 @@
 
 import Link from 'next/link';
 import { useComparisonContext } from '@/context/ComparisonContext';
-import type { SimilarSchool } from '@/lib/types';
-import styles from './SimilarSchools.module.css';
+import type { NearbySchool } from '@/lib/types';
+import styles from './NearbySchools.module.css';
 
-export function SimilarSchoolsCompareBar({
+export function NearbySchoolsCompareBar({
   thisUrn,
   candidates,
 }: {
   thisUrn: number;
-  candidates: SimilarSchool[];
+  candidates: NearbySchool[];
 }) {
   const { selectedSchools } = useComparisonContext();
 

nextjs-app/components/school/NearbySchoolsSection.tsx

@@ -18,18 +18,18 @@
  */
 
 import Link from 'next/link';
-import type { SimilarSchool } from '@/lib/types';
+import type { NearbySchool } from '@/lib/types';
 import { schoolUrl } from '@/lib/utils';
 import { AddToCompareButton } from './AddToCompareButton';
-import { SimilarSchoolsCarousel } from './SimilarSchoolsCarousel';
-import { SimilarSchoolsCompareBar } from './SimilarSchoolsCompareBar';
+import { NearbySchoolsCarousel } from './NearbySchoolsCarousel';
+import { NearbySchoolsCompareBar } from './NearbySchoolsCompareBar';
 import { Section } from './sectionShared';
-import styles from './SimilarSchools.module.css';
+import styles from './NearbySchools.module.css';
 
 const MINIMUM = 2;
 
-export function shouldRenderSimilar(similar?: SimilarSchool[] | null): boolean {
-  return (similar?.length ?? 0) >= MINIMUM;
+export function shouldRenderNearby(nearby?: NearbySchool[] | null): boolean {
+  return (nearby?.length ?? 0) >= MINIMUM;
 }
 
 /**
@@ -63,22 +63,22 @@ function formatMetric(value: number | null, key: string): string {
   return key === 'attainment_8_score' ? value.toFixed(1) : `${Math.round(value)}%`;
 }
 
-export function SimilarSchoolsSection({
+export function NearbySchoolsSection({
   urn,
   schoolName,
   phase,
   thisMetricValue,
-  similar,
+  nearby,
 }: {
   urn: number;
   schoolName: string;
   /** The school's own GIAS phase, not the template it renders with. */
   phase: string | null | undefined;
   thisMetricValue: number | null;
-  similar?: SimilarSchool[] | null;
+  nearby?: NearbySchool[] | null;
 }) {
-  if (!shouldRenderSimilar(similar)) return null;
-  const schools = similar as SimilarSchool[];
+  if (!shouldRenderNearby(nearby)) return null;
+  const schools = nearby as NearbySchool[];
 
   // One card matched on phase alone, so the section may not claim the set
   // shares an intake with this school.
@@ -87,7 +87,7 @@ export function SimilarSchoolsSection({
 
   return (
     <Section id="nearby">
-      <SimilarSchoolsCarousel
+      <NearbySchoolsCarousel
         count={schools.length}
         labelledBy="nearby-schools-heading"
         header={
@@ -137,9 +137,9 @@ export function SimilarSchoolsSection({
             <AddToCompareButton school={school} />
           </li>
         ))}
-      </SimilarSchoolsCarousel>
+      </NearbySchoolsCarousel>
 
-      <SimilarSchoolsCompareBar thisUrn={urn} candidates={schools} />
+      <NearbySchoolsCompareBar thisUrn={urn} candidates={schools} />
 
       {/* The one caveat the cards cannot make on their own: a reader who takes
           "0.6 miles away" for the walk has been misled, and nothing else here

nextjs-app/components/school/PrimarySchoolSections.tsx

@@ -14,7 +14,7 @@
 import type {
   School, SchoolResult, AbsenceData, OfstedInspection, SchoolCensus,
   SchoolAdmissions, SchoolAdmissionDistance, SchoolDeprivation, SchoolFinance, NationalAverages,
-  SimilarSchool,
+  NearbySchool,
 } from '@/lib/types';
 import { ofstedLegacyAreas } from '@/lib/utils';
 import type { SchoolFlags } from '@/lib/schoolSections';
@@ -27,7 +27,7 @@ import { HistorySection } from './HistorySection';
 import { SchoolLifeSection } from './SchoolLifeSection';
 import { LocalAreaSection } from './LocalAreaSection';
 import { FinancesSection } from './FinancesSection';
-import { SimilarSchoolsSection } from './SimilarSchoolsSection';
+import { NearbySchoolsSection } from './NearbySchoolsSection';
 
 export interface PrimarySchoolSectionsProps {
   schoolInfo: School;
@@ -42,14 +42,14 @@ export interface PrimarySchoolSectionsProps {
   finance: SchoolFinance | null;
   nationalAvg: NationalAverages | null;
   /** Nearby schools of a comparable intake. Absent on an older API build. */
-  similarSchools?: SimilarSchool[];
+  nearbySchools?: NearbySchool[];
   flags: SchoolFlags;
 }
 
 export function PrimarySchoolSections({
   schoolInfo, yearlyData, absenceData, ofsted, census,
   admissions, admissionsHistory, admissionDistance,
-  deprivation, finance, nationalAvg, similarSchools, flags,
+  deprivation, finance, nationalAvg, nearbySchools, flags,
 }: PrimarySchoolSectionsProps) {
   const primaryAvg = nationalAvg?.primary ?? {};
   const secondaryAvg = nationalAvg?.secondary ?? {};
@@ -152,12 +152,12 @@ export function PrimarySchoolSections({
       {flags.hasFinance && finance && <FinancesSection finance={finance} />}
 
       {/* Last: it is where the reader goes next, not part of this school. */}
-      <SimilarSchoolsSection
+      <NearbySchoolsSection
         urn={schoolInfo.urn}
         schoolName={schoolInfo.school_name}
         phase={schoolInfo.phase}
         thisMetricValue={flags.latestResults?.rwm_expected_pct ?? null}
-        similar={similarSchools}
+        nearby={nearbySchools}
       />
     </>
   );

nextjs-app/components/school/SecondarySchoolSections.tsx

@@ -14,7 +14,7 @@
 import type {
   School, SchoolResult, AbsenceData, OfstedInspection, SchoolCensus,
   SchoolAdmissions, SchoolAdmissionDistance, SchoolDeprivation, SchoolFinance, NationalAverages,
-  SchoolDestinations, SimilarSchool,
+  SchoolDestinations, NearbySchool,
 } from '@/lib/types';
 import { ofstedLegacyAreas } from '@/lib/utils';
 import type { SecondaryFlags } from '@/lib/schoolSections';
@@ -27,7 +27,7 @@ import { DistanceSection } from './DistanceSection';
 import { SecondaryHistorySection } from './SecondaryHistorySection';
 import { WellbeingSection } from './WellbeingSection';
 import { FinancesSection } from './FinancesSection';
-import { SimilarSchoolsSection } from './SimilarSchoolsSection';
+import { NearbySchoolsSection } from './NearbySchoolsSection';
 import styles from './schoolSections.module.css';
 
 export interface SecondarySchoolSectionsProps {
@@ -49,14 +49,14 @@ export interface SecondarySchoolSectionsProps {
   nationalAvg: NationalAverages | null;
   destinations: SchoolDestinations | null;
   /** Nearby schools of a comparable intake. Absent on an older API build. */
-  similarSchools?: SimilarSchool[];
+  nearbySchools?: NearbySchool[];
   flags: SecondaryFlags;
 }
 
 export function SecondarySchoolSections({
   schoolInfo, yearlyData, ofsted, census,
   admissions, admissionsHistory, admissionDistance,
-  deprivation, finance, nationalAvg, destinations, similarSchools, flags,
+  deprivation, finance, nationalAvg, destinations, nearbySchools, flags,
 }: SecondarySchoolSectionsProps) {
   const secondaryAvg = nationalAvg?.secondary ?? {};
 
@@ -146,12 +146,12 @@ export function SecondarySchoolSections({
       )}
 
       {/* Last: it is where the reader goes next, not part of this school. */}
-      <SimilarSchoolsSection
+      <NearbySchoolsSection
         urn={schoolInfo.urn}
         schoolName={schoolInfo.school_name}
         phase={schoolInfo.phase}
         thisMetricValue={flags.latestResults?.attainment_8_score ?? null}
-        similar={similarSchools}
+        nearby={nearbySchools}
       />
     </div>
   );

nextjs-app/lib/types.ts

@@ -354,7 +354,7 @@ export interface SchoolsResponse {
  * version ordered by it and buried the school down the road under faith
  * matches three times further away.
  */
-export interface SimilarSchool {
+export interface NearbySchool {
   urn: number;
   school_name: string;
   distance_miles: number;
@@ -384,7 +384,7 @@ export interface SchoolDetailsResponse {
    * API that serves this must render without it. Absent and empty mean the
    * same thing here — no section.
    */
-  similar_schools?: SimilarSchool[];
+  nearby_schools?: NearbySchool[];
   yearly_data: SchoolResult[];
   absence_data: AbsenceData | null;
   // Supplementary data (null until Kestra populates)