Files
school_compare/nextjs-app/components/compare/CompareCommunity.tsx
T

184 lines
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TypeScript

/**
* Who goes there — the school's community from the latest census plus GIAS
* facts. Benchmark chips use the computed state-school averages and must
* carry their provenance wording (never "England average" for computed
* figures). Copy verbatim from the reviewed mockups.
*/
'use client';
import { verdict } from '@/lib/compareLogic';
import type { Benchmarks, ComparisonData, School } from '@/lib/types';
import { Cell, Chip, RowLabel, Section, SectionGrid, sectionStyles as s } from './sectionShared';
function pctSplit(part: number | null | undefined, total: number | null | undefined): string | null {
if (part == null || total == null || total === 0) return null;
return `${Math.round((part / total) * 100)}%`;
}
export function CompareCommunity({
schools,
data,
benchmarks,
}: {
schools: School[];
data: Record<string, ComparisonData>;
benchmarks?: Benchmarks;
}) {
const isSecondary = schools.some(
(school) => data[String(school.urn)]?.school_info?.attainment_8_score != null,
);
const bench = isSecondary ? benchmarks?.secondary : benchmarks?.primary;
const fsmChip = (value: number | null) => {
if (value == null || bench?.disadvantaged_pct == null) return null;
const v = verdict(value, bench.disadvantaged_pct, 3);
return (
<Chip tone="neutral">
{v === 'above' && 'Above the state-school average'}
{v === 'close' && 'About the state-school average'}
{v === 'below' && 'Below the state-school average'}
</Chip>
);
};
return (
<Section
title="Who goes there"
how="The school's community, from the latest school census. State-school averages are computed from our dataset and shown for context — there's no “right” number here."
>
<SectionGrid schools={schools}>
<RowLabel>Pupils on roll</RowLabel>
{schools.map((school, i) => {
const info = data[String(school.urn)]?.school_info as (School & { gias_total_pupils?: number | null; capacity?: number | null }) | undefined;
const census = data[String(school.urn)]?.census;
const pupils = census?.total_pupils ?? info?.gias_total_pupils ?? null;
const capacity = info?.capacity ?? null;
let capNote: string | null = null;
if (pupils != null && capacity != null && capacity > 0) {
capNote =
pupils >= capacity
? `${capacity.toLocaleString('en-GB')} places — at or above capacity`
: `of ${capacity.toLocaleString('en-GB')} places (${Math.round((pupils / capacity) * 100)}% full)`;
}
return (
<Cell key={school.urn} school={school} index={i}>
{pupils != null ? (
<>
{pupils.toLocaleString('en-GB')}
{capNote && <span className={s.small}>{capNote}</span>}
</>
) : (
<span className={s.small}>No data</span>
)}
</Cell>
);
})}
<RowLabel>Girls / boys</RowLabel>
{schools.map((school, i) => {
const census = data[String(school.urn)]?.census;
const girls = pctSplit(census?.female_pupils, census?.total_pupils);
const boys = pctSplit(census?.male_pupils, census?.total_pupils);
return (
<Cell key={school.urn} school={school} index={i}>
{girls && boys ? `${girls} / ${boys}` : <span className={s.small}>No data</span>}
</Cell>
);
})}
<RowLabel tip="% of pupils eligible for free school meals — a common measure of how many pupils come from lower-income families. Benchmark computed across state schools in our dataset.">
Free school meals
</RowLabel>
{schools.map((school, i) => {
const fsm = data[String(school.urn)]?.census?.fsm_pct ?? null;
return (
<Cell key={school.urn} school={school} index={i}>
{fsm != null ? (
<>
{Math.round(fsm)}% {fsmChip(fsm)}
</>
) : (
<span className={s.small}>No data</span>
)}
</Cell>
);
})}
<RowLabel tip="% of pupils whose first language is known or believed to be other than English. State-school average computed from our dataset.">
English as an additional language
</RowLabel>
{schools.map((school, i) => {
const eal = data[String(school.urn)]?.census?.eal_pct ?? null;
return (
<Cell key={school.urn} school={school} index={i}>
{eal != null ? `${Math.round(eal)}%` : <span className={s.small}>No data</span>}
</Cell>
);
})}
<RowLabel tip="% of pupils receiving SEN support (not including EHC plans). A high figure can mean the school hosts specialist provision — often a strength, not a warning sign. State-school average computed from our dataset.">
Extra learning support (SEN)
</RowLabel>
{schools.map((school, i) => {
const rows = data[String(school.urn)]?.yearly_data ?? [];
let sen: number | null = null;
for (let r = rows.length - 1; r >= 0; r--) {
if (rows[r].sen_support_pct != null) {
sen = rows[r].sen_support_pct;
break;
}
}
const high =
sen != null && bench?.sen_support_pct != null && sen >= bench.sen_support_pct * 1.75;
return (
<Cell key={school.urn} school={school} index={i}>
{sen != null ? (
<>
{Math.round(sen)}% {high && <Chip tone="neutral">Well above average</Chip>}
</>
) : (
<span className={s.small}>No data</span>
)}
</Cell>
);
})}
<RowLabel>Faith character</RowLabel>
{schools.map((school, i) => {
const info = data[String(school.urn)]?.school_info;
const faith = info?.religious_denomination;
const none = !faith || faith === 'Does not apply' || faith === 'None';
return (
<Cell key={school.urn} school={school} index={i}>
{none ? 'None' : faith}
</Cell>
);
})}
<RowLabel>Ages</RowLabel>
{schools.map((school, i) => {
const info = data[String(school.urn)]?.school_info;
return (
<Cell key={school.urn} school={school} index={i}>
{info?.age_range || <span className={s.small}>No data</span>}
</Cell>
);
})}
<RowLabel>Run by</RowLabel>
{schools.map((school, i) => {
const info = data[String(school.urn)]?.school_info;
const trust = info?.trust_name;
const la = info?.local_authority ?? school.local_authority;
return (
<Cell key={school.urn} school={school} index={i}>
{trust ? trust : la ? `${la} council` : <span className={s.small}>No data</span>}
</Cell>
);
})}
</SectionGrid>
</Section>
);
}