backend/data_loader.py

@@ -577,6 +577,7 @@ def compute_benchmarks(df: pd.DataFrame) -> dict:
             "eal_pct": _median(sub, "eal_pct"),
             "sen_support_pct": _median(sub, "sen_support_pct"),
             "disadvantaged_pct": _median(sub, "disadvantaged_pct"),
+            "fsm_pct": _median(sub, "fsm_pct"),
             "median_pupils": median_pupils,
         }
         if with_disadvantaged:

backend/tests/test_benchmarks.py

@@ -17,33 +17,33 @@ def _df():
         # weighted = (40*100 + 60*300) / 400 = 55.0 ; unweighted mean = 50.0
         dict(year=LATEST, attainment_8_score=np.nan, eligible_pupils=100,
              rwm_expected_disadvantaged_pct=40.0, eal_pct=10.0,
-             sen_support_pct=10.0, disadvantaged_pct=20.0, total_pupils=200),
+             sen_support_pct=10.0, disadvantaged_pct=20.0, fsm_pct=15.0, total_pupils=200),
         dict(year=LATEST, attainment_8_score=np.nan, eligible_pupils=300,
              rwm_expected_disadvantaged_pct=60.0, eal_pct=20.0,
-             sen_support_pct=14.0, disadvantaged_pct=24.0, total_pupils=280),
+             sen_support_pct=14.0, disadvantaged_pct=24.0, fsm_pct=17.0, total_pupils=280),
         dict(year=LATEST, attainment_8_score=np.nan, eligible_pupils=np.nan,
              rwm_expected_disadvantaged_pct=99.0, eal_pct=30.0,
-             sen_support_pct=18.0, disadvantaged_pct=30.0, total_pupils=300),
+             sen_support_pct=18.0, disadvantaged_pct=30.0, fsm_pct=19.0, total_pupils=300),
         dict(year=LATEST, attainment_8_score=np.nan, eligible_pupils=50,
              rwm_expected_disadvantaged_pct=np.nan, eal_pct=np.nan,
-             sen_support_pct=np.nan, disadvantaged_pct=np.nan, total_pupils=np.nan),
+             sen_support_pct=np.nan, disadvantaged_pct=np.nan, fsm_pct=np.nan, total_pupils=np.nan),
         dict(year=LATEST, attainment_8_score=np.nan, eligible_pupils=40,
              rwm_expected_disadvantaged_pct=np.nan, eal_pct=40.0,
-             sen_support_pct=20.0, disadvantaged_pct=40.0, total_pupils=350),
+             sen_support_pct=20.0, disadvantaged_pct=40.0, fsm_pct=21.0, total_pupils=350),
         dict(year=LATEST, attainment_8_score=np.nan, eligible_pupils=60,
              rwm_expected_disadvantaged_pct=np.nan, eal_pct=50.0,
-             sen_support_pct=22.0, disadvantaged_pct=44.0, total_pupils=400),
+             sen_support_pct=22.0, disadvantaged_pct=44.0, fsm_pct=23.0, total_pupils=400),
         # Two secondary schools (attainment_8 non-null)
         dict(year=LATEST, attainment_8_score=45.0, eligible_pupils=180,
              rwm_expected_disadvantaged_pct=np.nan, eal_pct=15.0,
-             sen_support_pct=12.0, disadvantaged_pct=22.0, total_pupils=1000),
+             sen_support_pct=12.0, disadvantaged_pct=22.0, fsm_pct=12.0, total_pupils=1000),
         dict(year=LATEST, attainment_8_score=50.0, eligible_pupils=200,
              rwm_expected_disadvantaged_pct=np.nan, eal_pct=25.0,
-             sen_support_pct=16.0, disadvantaged_pct=26.0, total_pupils=1200),
+             sen_support_pct=16.0, disadvantaged_pct=26.0, fsm_pct=14.0, total_pupils=1200),
         # An older-year primary row that must NOT influence anything
         dict(year=202324, attainment_8_score=np.nan, eligible_pupils=500,
              rwm_expected_disadvantaged_pct=1.0, eal_pct=99.0,
-             sen_support_pct=99.0, disadvantaged_pct=99.0, total_pupils=9999),
+             sen_support_pct=99.0, disadvantaged_pct=99.0, fsm_pct=99.0, total_pupils=9999),
     ]
     return pd.DataFrame(rows)
 
@@ -59,6 +59,8 @@ def test_medians_ignore_nan_and_older_years():
     assert b["year"] == LATEST
     # eal medians over [10,20,30,40,50] = 30
     assert b["primary"]["eal_pct"] == 30.0
+    # fsm medians over [15,17,19,21,23] = 19
+    assert b["primary"]["fsm_pct"] == 19.0
     # median pupils over [200,280,300,350,400] = 300
     assert b["primary"]["median_pupils"] == 300
 
@@ -66,6 +68,7 @@ def test_medians_ignore_nan_and_older_years():
 def test_secondary_block_has_no_disadvantaged_rwm():
     b = compute_benchmarks(_df())
     assert "disadvantaged_rwm_expected_pct" not in b["secondary"]
+    assert b["secondary"]["fsm_pct"] == 13.0
     assert b["secondary"]["median_pupils"] == 1100
 
 

nextjs-app/__tests__/lib/compareLogic.test.ts

@@ -126,6 +126,13 @@ describe('ofstedDisplay', () => {
     expect(ofstedDisplay(ofsted({})).kind).toBe('none');
   });
 
+  it('identifies transitional inspections without overall grades', () => {
+    const transitional = ofstedDisplay(
+      ofsted({ overall_effectiveness: null, inspection_date: '2024-11-05' }),
+    );
+    expect(transitional.kind).toBe('transitional');
+  });
+
   it('uses the four legacy grade words', () => {
     expect(OFSTED_LEGACY_GRADES).toEqual({
       1: 'Outstanding',

nextjs-app/components/ComparisonView.tsx

@@ -142,19 +142,23 @@ export function ComparisonView({
       });
   }, [urnKey, isInitialized]);
 
-  // Classify schools by phase using comparison data
-  const classifySchool = (school: School): 'primary' | 'secondary' => {
+  const primarySchools = selectedSchools.filter((school) => {
     const info = comparisonData?.[school.urn]?.school_info;
-    if (info?.attainment_8_score != null) return 'secondary';
-    if (info?.rwm_expected_pct != null) return 'primary';
-    // Fallback: check yearly data
-    const yearlyData = comparisonData?.[school.urn]?.yearly_data;
-    if (yearlyData?.some((d) => d.attainment_8_score != null)) return 'secondary';
-    return 'primary';
-  };
+    const hasPrimaryData =
+      info?.rwm_expected_pct != null ||
+      comparisonData?.[school.urn]?.yearly_data?.some((d) => d.rwm_expected_pct != null);
+    if (hasPrimaryData) return true;
+    return school.phase?.toLowerCase().includes('primary') || false;
+  });
 
-  const primarySchools = selectedSchools.filter((s) => classifySchool(s) === 'primary');
-  const secondarySchools = selectedSchools.filter((s) => classifySchool(s) === 'secondary');
+  const secondarySchools = selectedSchools.filter((school) => {
+    const info = comparisonData?.[school.urn]?.school_info;
+    const hasSecondaryData =
+      info?.attainment_8_score != null ||
+      comparisonData?.[school.urn]?.yearly_data?.some((d) => d.attainment_8_score != null);
+    if (hasSecondaryData) return true;
+    return school.phase?.toLowerCase().includes('secondary') || false;
+  });
 
   // Auto-select tab with more schools and sync the metric to match the phase.
   useEffect(() => {

nextjs-app/components/compare/CompareAtAGlance.tsx

@@ -83,6 +83,14 @@ export function CompareAtAGlance({
                   {display.carriedForward && <span className={s.small}>Grade carried forward</span>}
                 </>
               )}
+              {display.kind === 'transitional' && (
+                <>
+                  <span className={s.badge} style={{ backgroundColor: '#e2e8f0', color: '#475569' }}>
+                    No overall grade
+                  </span>
+                  <span className={s.small}>Sub-judgements only</span>
+                </>
+              )}
               {display.kind === 'none' && <span className={s.small}>No inspection in our dataset</span>}
             </Cell>
           );

nextjs-app/components/compare/CompareCommunity.tsx

@@ -31,13 +31,14 @@ export function CompareCommunity({
   const bench = isSecondary ? benchmarks?.secondary : benchmarks?.primary;
 
   const fsmChip = (value: number | null) => {
-    if (value == null || bench?.disadvantaged_pct == null) return null;
-    const v = verdict(value, bench.disadvantaged_pct, 3);
+    const anchor = bench?.fsm_pct ?? bench?.disadvantaged_pct ?? null;
+    if (value == null || anchor == null) return null;
+    const v = verdict(value, anchor, 3);
     return (
       <Chip tone="neutral">
-        {v === 'above' && 'Above the state-school average'}
-        {v === 'close' && 'About the state-school average'}
-        {v === 'below' && 'Below the state-school average'}
+        {v === 'above' && `Above the state-school average (${Math.round(anchor)}%)`}
+        {v === 'close' && `About the state-school average (${Math.round(anchor)}%)`}
+        {v === 'below' && `Below the state-school average (${Math.round(anchor)}%)`}
       </Chip>
     );
   };

nextjs-app/components/compare/CompareOfsted.tsx

@@ -51,6 +51,18 @@ function ResultCell({ display }: { display: OfstedDisplay }) {
       </>
     );
   }
+  if (display.kind === 'transitional') {
+    return (
+      <>
+        <span className={s.badge} style={{ backgroundColor: '#e2e8f0', color: '#475569' }}>
+          No overall grade
+        </span>
+        <span className={s.small}>
+          Inspected under transitional framework (sub-judgements only)
+        </span>
+      </>
+    );
+  }
   return (
     <>
       <span className={`${s.badge} ${display.grade <= 2 ? s.badgeGood : display.grade === 3 ? s.badgeWarn : s.badgeBad}`}>

nextjs-app/lib/compareLogic.ts

@@ -102,6 +102,7 @@ export type OfstedDisplay =
   | { kind: 'none' }
   | { kind: 'graded'; grade: number; gradeLabel: string; carriedForward: false }
   | { kind: 'carried_forward'; grade: number; gradeLabel: string; carriedForward: true }
+  | { kind: 'transitional' }
   | { kind: 'report_card'; summary: ReportCardSummary };
 
 export function ofstedDisplay(
@@ -117,7 +118,12 @@ export function ofstedDisplay(
 
   const grade = ofsted.overall_effectiveness;
   const gradeLabel = grade != null ? OFSTED_LEGACY_GRADES[grade] : undefined;
-  if (grade == null || gradeLabel === undefined) return { kind: 'none' };
+  if (grade == null || gradeLabel === undefined) {
+    if (ofsted.inspection_date) {
+      return { kind: 'transitional' };
+    }
+    return { kind: 'none' };
+  }
 
   if (ofsted.grade_source === 'ungraded_carried_forward') {
     return { kind: 'carried_forward', grade, gradeLabel, carriedForward: true };

nextjs-app/lib/types.ts

@@ -357,6 +357,7 @@ export interface BenchmarkBlock {
   eal_pct: number | null;
   sen_support_pct: number | null;
   disadvantaged_pct: number | null;
+  fsm_pct?: number | null;
   median_pupils: number | null;
   /** Primary only — weighted by cohort size. */
   disadvantaged_rwm_expected_pct?: number | null;