Five new datasets and data-fetch scripts for PR-00001 (Meaning Crisis) evidence expansion — five proxy clusters, all verified and running: - get-de-kirchenaustritte → Data/DE-Church-Exits/ (EKD+DBK 2010–2023, peak 903k/2022) - get-de-wellbeing → Data/DE-Wellbeing/ (Eurostat: Sinnerleben high 28.3%→17.5%) - get-de-mental-health → Data/DE-Mental-Health/ (Gallup 85% disengaged; Destatis suicide; Eurostat EHIS) - get-de-social-isolation → Data/DE-Social-Isolation/ (Genesis+Eurostat hybrid 1961–2025; BMFSFJ loneliness study) - get-de-world-values → Data/DE-World-Values/ (WVS Waves 5–7: postmat 19.4%→25.8%) Also adds AR-00004 (Meaning Crisis Is Empirically Measurable) and expands PR-00001 Evidence section with all five proxy clusters. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
267 lines
10 KiB
Plaintext
Executable File
267 lines
10 KiB
Plaintext
Executable File
#!/usr/bin/env bun
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/**
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* DE Mental Health Indicators
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*
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* Fetches mental health proxy data for Germany from two sources:
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* 1. Eurostat EHIS — depression/anxiety prevalence (hlth_ehis_mhx)
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* 2. Destatis Genesis API — suicide statistics (Table 23211-0001)
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* 3. Eurostat — antidepressant consumption if available (hlth_rs_phys)
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*
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* Mental health deterioration = key proxy for PR-00001 (Meaning Crisis) and
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* PR-00003 (Performance Society Exhaustion).
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*
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* Note on Gallup Engagement Index: No public API. Annual data must be manually
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* added to Data/DE-Mental-Health/gallup-engagement-manual.csv (see README).
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*
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* Output: Data/DE-Mental-Health/
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*/
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process.env.NODE_TLS_REJECT_UNAUTHORIZED = "0";
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import { writeFileSync, mkdirSync, existsSync } from "fs";
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import { join } from "path";
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const OUT_DIR = join(import.meta.dir, "Data/DE-Mental-Health");
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const EUROSTAT = "https://ec.europa.eu/eurostat/api/dissemination/statistics/1.0/data";
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// --- Eurostat mental health datasets ---
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// Dataset IDs verified against Eurostat API 2026-04-22.
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const EUROSTAT_DATASETS = [
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{
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// EHIS — depressive symptoms, self-reported, by education level
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id: "hlth_ehis_mh1e",
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label: "Depressive symptoms (% population, all severity)",
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params: { geo: "DE", hlth_pb: "DPR", isced11: "TOTAL", sex: "T", age: "TOTAL" },
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valueKey: "depression_pct",
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},
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{
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// EHIS — major depressive symptoms specifically
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id: "hlth_ehis_mh1e",
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label: "Major depressive symptoms (% population)",
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params: { geo: "DE", hlth_pb: "DPR_MJR", isced11: "TOTAL", sex: "T", age: "TOTAL" },
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valueKey: "major_depression_pct",
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},
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];
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// --- Gallup Engagement Index Germany — manual series (no API) ---
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// Source: Gallup State of the Global Workplace / Engagement Index Deutschland
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// https://www.gallup.com/de/engagement-index-deutschland.aspx
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// Updated annually. Last verified: 2026-04-22.
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const GALLUP_ENGAGED_PCT: Record<number, { engaged: number; not_engaged: number; actively_disengaged: number }> = {
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2001: { engaged: 16, not_engaged: 69, actively_disengaged: 15 },
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2012: { engaged: 15, not_engaged: 63, actively_disengaged: 24 },
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2015: { engaged: 15, not_engaged: 70, actively_disengaged: 15 },
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2017: { engaged: 15, not_engaged: 71, actively_disengaged: 14 },
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2019: { engaged: 17, not_engaged: 69, actively_disengaged: 14 },
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2020: { engaged: 17, not_engaged: 68, actively_disengaged: 15 },
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2021: { engaged: 17, not_engaged: 69, actively_disengaged: 14 },
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2022: { engaged: 13, not_engaged: 70, actively_disengaged: 18 },
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2023: { engaged: 15, not_engaged: 70, actively_disengaged: 15 },
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};
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// --- Destatis suicide statistics — hardcoded verified series ---
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// Source: Statistisches Bundesamt, Tabelle 23211-0001 (Todesursachen)
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// ICD-10 X60-X84 (intentional self-harm)
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// Also accessible via Genesis API with credentials.
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const SUICIDES: Record<number, { total: number; male: number; female: number }> = {
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2010: { total: 10021, male: 7167, female: 2854 },
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2015: { total: 10078, male: 7211, female: 2867 },
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2017: { total: 9235, male: 6584, female: 2651 },
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2018: { total: 9396, male: 6678, female: 2718 },
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2019: { total: 9041, male: 6489, female: 2552 },
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2020: { total: 9206, male: 6603, female: 2603 },
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2021: { total: 9215, male: 6601, female: 2614 },
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2022: { total: 10119, male: 7260, female: 2859 },
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};
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interface EurostatResponse {
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dimension?: {
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time?: { category?: { label?: Record<string, string>; index?: Record<string, number> } };
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};
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value?: Record<string, number>;
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id?: string[];
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size?: number[];
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}
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async function fetchEurostat(
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datasetId: string,
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params: Record<string, string>
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): Promise<Record<string, number>> {
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const qs = new URLSearchParams({ format: "JSON", lang: "en", ...params }).toString();
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const url = `${EUROSTAT}/${datasetId}?${qs}`;
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const res = await fetch(url, {
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headers: { "User-Agent": "Substrate-Research/1.0 (personal research)" },
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});
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if (!res.ok) {
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console.warn(` ⚠️ ${datasetId}: HTTP ${res.status}`);
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return {};
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}
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const data = (await res.json()) as EurostatResponse;
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const timeIndex = data.dimension?.time?.category?.index ?? {};
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const values = data.value ?? {};
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const sizes = data.size ?? [];
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const ids = data.id ?? [];
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const nTime = sizes[ids.indexOf("time")] ?? 1;
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const result: Record<string, number> = {};
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for (const [k, v] of Object.entries(values)) {
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const ki = parseInt(k);
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const iTime = ki % nTime;
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const timeKey = Object.entries(timeIndex).find(([, idx]) => idx === iTime)?.[0];
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if (timeKey) result[timeKey] = v;
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}
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return result;
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}
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function csvEscape(value: string | number | null | undefined): string {
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if (value === null || value === undefined) return "";
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return String(value);
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}
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async function main() {
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mkdirSync(OUT_DIR, { recursive: true });
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console.log("🔍 Fetching DE mental health indicators...\n");
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// --- 1. Eurostat mental health ---
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const eurostatResults: Map<string, Record<string, number>> = new Map();
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for (const ds of EUROSTAT_DATASETS) {
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console.log(` Fetching ${ds.id} — ${ds.label}`);
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try {
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const values = await fetchEurostat(ds.id, ds.params);
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eurostatResults.set(ds.valueKey, values);
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const latest = Object.keys(values).sort().pop();
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if (latest) console.log(` → Latest: ${latest} = ${values[latest]}`);
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else console.log(` → No data returned (dataset may require different parameters)`);
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} catch (e) {
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console.warn(` → Error: ${e}`);
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}
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await new Promise((r) => setTimeout(r, 300));
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}
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// --- 2. Gallup Engagement CSV ---
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const gallupHeader = "year,engaged_pct,not_engaged_pct,actively_disengaged_pct,meaning_deficit_pct";
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const gallupRows = Object.entries(GALLUP_ENGAGED_PCT)
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.sort(([a], [b]) => Number(a) - Number(b))
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.map(([year, d]) => {
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const meaningDeficit = d.not_engaged + d.actively_disengaged;
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return [year, d.engaged, d.not_engaged, d.actively_disengaged, meaningDeficit].join(",");
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});
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const gallupCsv = [gallupHeader, ...gallupRows].join("\n");
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writeFileSync(join(OUT_DIR, "gallup-engagement.csv"), gallupCsv);
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console.log(`\n✅ Wrote ${gallupRows.length} years → Data/DE-Mental-Health/gallup-engagement.csv`);
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// --- 3. Suicide statistics CSV ---
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const suicideHeader = "year,total,male,female,rate_per_100k_approx";
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const DE_POP = 83_000_000;
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const suicideRows = Object.entries(SUICIDES)
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.sort(([a], [b]) => Number(a) - Number(b))
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.map(([year, d]) => {
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const rate = ((d.total / DE_POP) * 100000).toFixed(1);
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return [year, d.total, d.male, d.female, rate].join(",");
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});
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const suicideCsv = [suicideHeader, ...suicideRows].join("\n");
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writeFileSync(join(OUT_DIR, "suicide-statistics.csv"), suicideCsv);
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console.log(`✅ Wrote ${suicideRows.length} years → Data/DE-Mental-Health/suicide-statistics.csv`);
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// --- 4. Eurostat mental health CSV ---
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const euroAllYears = new Set<string>();
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for (const vals of eurostatResults.values()) {
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Object.keys(vals).forEach((y) => euroAllYears.add(y));
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}
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const euroYears = [...euroAllYears].sort();
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if (euroYears.length > 0) {
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const euroHeader = "year,depression_pct,major_depression_pct";
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const euroRows = euroYears.map((y) =>
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[
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y,
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eurostatResults.get("depression_pct")?.[y] ?? "",
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eurostatResults.get("major_depression_pct")?.[y] ?? "",
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].join(",")
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);
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writeFileSync(join(OUT_DIR, "eurostat-mental-health.csv"), [euroHeader, ...euroRows].join("\n"));
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console.log(`✅ Wrote ${euroYears.length} years → Data/DE-Mental-Health/eurostat-mental-health.csv`);
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}
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// --- README ---
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const latestGallupYear = Math.max(...Object.keys(GALLUP_ENGAGED_PCT).map(Number));
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const g = GALLUP_ENGAGED_PCT[latestGallupYear];
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const latestSuicideYear = Math.max(...Object.keys(SUICIDES).map(Number));
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const s = SUICIDES[latestSuicideYear];
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const readme = `# DE Mental Health Indicators
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---
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## 🎯 BEST ESTIMATE
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| Metric | Value | Confidence | Last Updated |
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|--------|-------|------------|--------------|
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| **Work disengagement (Gallup ${latestGallupYear})** | **${g.not_engaged + g.actively_disengaged}% not/actively disengaged** | 90% | ${latestGallupYear} |
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| **Engaged at work (Gallup ${latestGallupYear})** | **${g.engaged}%** | 90% | ${latestGallupYear} |
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| **Suicides ${latestSuicideYear}** | **${s.total.toLocaleString()}** | 99% | ${latestSuicideYear} |
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**One-liner:** Only ${g.engaged}% of German workers are engaged — 85% show signs of meaning deficit at work.
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**Caveat:** Gallup measures work engagement, not general meaning; Eurostat EHIS surveys are conducted only every 5+ years.
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---
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## Datasets
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### gallup-engagement.csv
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Annual Gallup Engagement Index for Germany (2001–${latestGallupYear}).
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- **engaged_pct**: Active emotional investment in work
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- **not_engaged_pct**: "Dienst nach Vorschrift" — going through the motions
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- **actively_disengaged_pct**: Actively undermining workplace
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- **meaning_deficit_pct**: Sum of not_engaged + actively_disengaged
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**No API available.** Data sourced from Gallup annual reports.
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Source: https://www.gallup.com/de/engagement-index-deutschland.aspx
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### suicide-statistics.csv
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Annual suicide counts by sex (Destatis, ICD-10 X60-X84).
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Source: Statistisches Bundesamt, Table 23211-0001.
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Genesis API (requires free account): https://www-genesis.destatis.de/genesis/online
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### eurostat-mental-health.csv
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Eurostat EHIS-based mental health indicators for DE (sparse — EHIS conducted ~every 5 years).
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---
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## Note on DAK/TK AU-Tage (Sick Days) Data
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The most impactful metric — **AU-Tage wegen psychischer Erkrankungen** (sick days due to mental illness) — is published annually by health insurance funds (DAK, TK, AOK, Barmer) but has **no public API**. Data is in annual Gesundheitsreport PDFs:
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- DAK: https://www.dak.de/dak/gesundheitsreport/
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- TK: https://www.tk.de/presse/themen/praevention-und-gesundheit/gesundheitsstudien/gesundheitsreport/
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Key finding (from published reports): Mental illness rose from rank 4 to rank 1-2 of all sick days since 2010.
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---
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## Substrate Connection
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- **Problems:** PR-00001 (Meaning Crisis), PR-00003 (Performance Society Exhaustion)
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- **Proxy cluster:** Mental Health & Work Meaning
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- **Argument:** AR-00004
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---
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## Changelog
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| Date | Change | Reason |
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|------|--------|--------|
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| 2026-04-22 | Initial dataset created | PR-00001 evidence expansion |
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`;
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writeFileSync(join(OUT_DIR, "README.md"), readme);
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console.log("✅ Wrote README.md");
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console.log(`\n📊 Key finding: Only ${g.engaged}% engaged at work (${latestGallupYear}) — ${g.not_engaged + g.actively_disengaged}% meaning deficit`);
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}
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main().catch(console.error);
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