feat: add DE-Wealth-Distribution, EU-Wealth-Inequality datasets + update repo docs

Two new datasets with source catalogs (DS-00019, DS-00020): - DE-Wealth-Distribution: Wealth Gini 72.4% (PHF 2023), top shares, inheritance - EU-Wealth-Inequality: Cross-country Gini comparison (50.8–72.6) Updated README.md, Data/README.md, QUICK_REFERENCE.md to document all 24 datasets (7 US + 16 DE + 1 EU), 20 source catalogs, and DE-Plan integration. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-23 12:03:44 +02:00
parent 7321100106
commit e76ab2d43a
7 changed files with 725 additions and 165 deletions
--- a/Data/DE-Wealth-Distribution/DE-Wealth-Distribution.md
+++ b/Data/DE-Wealth-Distribution/DE-Wealth-Distribution.md
@@ -0,0 +1,175 @@
+# DE Wealth Distribution
+
+**Last Updated:** 2026-04-23
+**Update Method:** Manual — Bundesbank PHF (triennial), ECB DWA (quarterly), WID (ongoing)
+**Coverage:** Net wealth distribution, concentration, composition, inheritance — Germany
+
+---
+
+## 🎯 BEST ESTIMATE
+
+| Metric | Value | Confidence | Last Updated |
+|--------|-------|------------|--------------|
+| **Wealth Gini (survey, PHF)** | **72.4%** | 95% | 2023 (PHF Wave 5) |
+| **Wealth Gini (DWA-adjusted)** | **~76%** | 85% | 2024 (ECB DWA) |
+| **Top-10% wealth share (PHF)** | **54%** | 95% | 2023 (PHF Wave 5) |
+| **Top-10% wealth share (WID)** | **~60%** | 85% | 2021 (DIW DP 2105) |
+| **Top-1% wealth share (WID)** | **~27%** | 80% | 2021 (DIW DP 2105) |
+| **Bottom-50% wealth share** | **2.4%** | 90% | 2023 (PHF Wave 5) |
+| **Mean net wealth** | **€324,800** | 95% | 2023 (PHF Wave 5) |
+| **Median net wealth** | **~€106,000** | 90% | 2023 (PHF Wave 5) |
+
+**One-liner:** Germany's top 10% hold 54% of wealth, bottom 50% just 2.4%.
+
+**Caveat:** Survey-based (PHF/HFCS) underestimates top wealth; DWA/WID adjustments raise top shares by 6-10 percentage points. Top-1% share unavailable from surveys — only from WID reconstructions.
+
+---
+
+## Quick Context
+
+Germany has one of the highest wealth Gini coefficients in the Eurozone (72.4% survey-based, ~76% adjusted). The gap between income inequality (Gini 33.7) and wealth inequality (Gini 72.4) is enormous — wealth is far more concentrated than income. Low homeownership (~45% west, ~29% east) is a key structural driver: renters have median wealth of €18,300 vs. €450,200 for mortgage-free homeowners.
+
+---
+
+## Methodology Summary
+
+**Approach:** Primary metrics from Bundesbank Panel on Household Finances (PHF) Wave 5 (2023), supplemented by ECB Distributional Wealth Accounts (DWA) and World Inequality Database (WID) for top-tail adjustments.
+
+**Sources:**
+- Bundesbank PHF 2023 (Monthly Report, April 2025)
+- ECB HFCS Wave 4 Statistical Tables (July 2023)
+- ECB Distributional Wealth Accounts (Economic Bulletin 5/2024)
+- DIW Discussion Paper 2105: Albers, Bartels, Schularick — "Wealth and Its Distribution in Germany, 1895–2021"
+- World Inequality Database (wid.world/country/germany/)
+
+**Definition Used:** Net wealth = total assets (real estate, financial assets, business equity, valuables) minus total liabilities (mortgages, consumer debt). Household-level for PHF/HFCS; equal-split individual adults for WID.
+
+---
+
+## Detailed Findings
+
+### Wealth Gini Trend (Bundesbank PHF)
+
+| Wave | Year | Wealth Gini | Note |
+|------|------|-------------|------|
+| Wave 3 | 2017 | ~74% | — |
+| Wave 4 | 2021 | 72.8% | — |
+| Wave 5 | 2023 | 72.4% | Nominal growth, real decline |
+
+Virtually no change in inequality across waves. The DWA-adjusted Gini (~76%) is higher because surveys systematically undercount the wealthy (differential non-response).
+
+### Wealth Concentration (PHF 2023)
+
+| Group | Share of total net wealth |
+|-------|--------------------------|
+| Top 1% (WID only) | ~27% |
+| Top 5% (DWA) | ~48–49% |
+| Top 10% (PHF) | 54% |
+| P50–P90 | ~43% |
+| Bottom 50% | 2.4% |
+
+- P90/median ratio: 7.6 (2023), up from 6.8 (2021)
+- Mean/median ratio: 3.1 (2023)
+
+### Wealth Composition by Position
+
+| Wealth position | Primary assets | Secondary assets |
+|----------------|----------------|------------------|
+| Bottom 50% (renters) | Savings accounts, vehicles | Low-risk financial instruments |
+| Middle (homeowners) | Real estate (dominant) | Savings, insurance |
+| Top 10% | Business equity, financial assets (~50%) | Real estate as investment |
+| Top 1% | Business stakes, shares, funds, bonds | Multiple real estate holdings |
+
+- Median wealth of homeowners (no mortgage): **€450,200**
+- Median wealth of homeowners (with mortgage): **€379,900**
+- Median wealth of renters: **€18,300**
+- Homeownership rate: ~45% (west), ~29% (east)
+
+### Inheritance Patterns
+
+| Wealth quintile | % received inheritance | Average value |
+|----------------|----------------------|---------------|
+| Top quintile (Q5) | ~65% | Significantly above mean |
+| Overall average | — | €193,000 (current value) |
+| Bottom quintile (Q1) | Low (~10-15%) | ~€30,000 range |
+
+*Source: OECD "Inheritance Taxation in OECD Countries" (2021), DIW Economic Bulletin 16/2016*
+
+- Receiving an inheritance lifts a household by approximately **14 net wealth percentiles** on average
+- In Germany, inheritance is relatively MORE important for wealth accumulation among less wealthy households (unlike Austria/France)
+- In absolute terms, wealthy households receive far larger inheritances
+
+### Real vs. Nominal Wealth (PHF 2023)
+
+| Measure | 2021 | 2023 | Change |
+|---------|------|------|--------|
+| Mean net wealth (nominal) | €316,500 | €324,800 | +3% |
+| Mean net wealth (real, 2021 prices) | €268,700 | €239,200 | **-11%** |
+
+Inflation eroded real wealth significantly between 2021 and 2023.
+
+---
+
+## Source Analysis
+
+| Source | Strengths | Weaknesses | Weight |
+|--------|-----------|------------|--------|
+| **Bundesbank PHF** | Official; triennial; detailed composition data; largest German wealth survey | Under-represents top tail; triennial lag | Very High |
+| **ECB DWA** | National-accounts-adjusted; quarterly updates; corrects survey bias | Model-dependent; shorter time series (since 2015) | High |
+| **WID (DIW DP 2105)** | Top-tail correction via tax data + rich lists; 125-year time series | Academic estimates; less frequently updated | High |
+| **OECD Inheritance** | Cross-national comparable; standardized methodology | Based on older HFCS waves; limited country coverage | Medium |
+
+### Key Source Conflicts
+
+1. **Top-10% share:** PHF says 54%, WID says ~60%. Resolution: PHF is raw survey (lower bound), WID adjusts for differential non-response (upper bound). Both are valid for different purposes — PHF for trend, WID for level.
+2. **Bottom-50% share:** PHF says 2.4%, WID says ~1.2%. Resolution: Different unit of analysis — PHF uses households, WID uses equal-split individual adults. Household units compress inequality at the bottom.
+
+---
+
+## Alternative Estimates & Why We Differ
+
+| Estimate | Source | What It Actually Measures | Why It Differs |
+|----------|--------|--------------------------|----------------|
+| Gini 72.4% | PHF 2023 | Survey responses, household level | Raw survey — lower bound |
+| Gini ~76% | ECB DWA | Adjusted to national accounts | Corrects underreporting |
+| Top-10%: 54% | PHF 2023 | Survey-reported wealth, households | Under-samples ultra-rich |
+| Top-10%: ~60% | WID 2021 | Adjusted via tax + capitalization | Corrects non-response |
+
+### Why Our Approach
+
+- We report BOTH survey-based and adjusted estimates because neither alone tells the full story
+- PHF 2023 (Wave 5) is the most current official data point available
+- WID/DWA adjustments are necessary for top-tail accuracy but carry model uncertainty
+- The Gini difference (72.4% vs ~76%) itself is informative — it quantifies how much surveys miss
+
+**Key insight:** The 4-point Gini gap between survey and adjusted estimates is not a contradiction — it measures how much wealth is invisible to household surveys, concentrated in the top 0.1%.
+
+---
+
+## Research Metadata
+
+| Attribute | Value |
+|-----------|-------|
+| **Research Date** | 2026-04-23 |
+| **Researcher** | Sven / PAI |
+| **Method** | Bundesbank PHF (primary); ECB DWA + WID (top-tail adjustment) |
+| **Confidence Level** | 85–95% for survey metrics; 80% for WID top-1% |
+| **Known Gaps** | Decile-level composition percentages (in PHF tables, not web-accessible); top-0.1% share; pension wealth (excluded from net wealth) |
+| **Update Frequency** | PHF: triennial (next: ~2026); DWA: quarterly; WID: irregular |
+
+---
+
+## Connection to DE-Plan
+
+- Wealth Gini 72.4% vs income Gini 33.7 → **CHALLENGE 4**: material inequality is far deeper than income metrics suggest; precarity is structural
+- Bottom-50% holding 2.4% → **CHALLENGE 4**: half the population has no meaningful wealth buffer; economic shocks hit hardest
+- Inheritance as wealth driver → **CHALLENGE 5**: knowledge access AND wealth access are intergenerationally transmitted
+- Homeownership gap (45% vs EU ~70%) → structural driver unique to Germany that inflates measured wealth inequality
+
+---
+
+## Changelog
+
+| Date | Change | Reason |
+|------|--------|--------|
+| 2026-04-23 | Initial dataset created | Wealth GINI missing from Substrate; Böckler article triggered gap identification |
--- a/Data/EU-Wealth-Inequality/EU-Wealth-Inequality.md
+++ b/Data/EU-Wealth-Inequality/EU-Wealth-Inequality.md
@@ -0,0 +1,216 @@
+# EU Wealth Inequality
+
+**Last Updated:** 2026-04-23
+**Update Method:** Manual — ECB HFCS (triennial), ECB DWA (quarterly), Eurofound reports
+**Coverage:** Net wealth distribution comparison across Eurozone member states
+
+---
+
+## 🎯 BEST ESTIMATE
+
+| Metric | Value | Confidence | Last Updated |
+|--------|-------|------------|--------------|
+| **Highest Eurozone wealth Gini** | **72.6 (Germany)** | 90% | 2021 (HFCS Wave 4) |
+| **Lowest Eurozone wealth Gini** | **50.8 (Slovakia)** | 90% | 2021 (HFCS Wave 4) |
+| **Euro area Gini trend (DWA)** | **~1.5pp decline since 2015** | 85% | 2024 (ECB DWA) |
+| **Euro area Top-5% share** | **>43%** | 85% | Q3 2022 (ECB DWA) |
+| **Germany Top-5% share (DWA)** | **~48–49%** | 85% | Q3 2022 (ECB DWA) |
+| **Latvia Top-5% share (DWA)** | **~59% (highest)** | 80% | Q3 2022 (ECB DWA) |
+
+**One-liner:** Germany's wealth Gini (72.6) is highest in the Eurozone, Slovakia's lowest (50.8).
+
+**Caveat:** HFCS Gini values are survey-based and underestimate true inequality; individual country top-1% shares are unavailable from HFCS — only WID provides these. Full country-by-country table requires HFCS Statistical Tables PDF.
+
+---
+
+## Quick Context
+
+Wealth inequality varies dramatically across the Eurozone — from a Gini of 50.8 (Slovakia) to 72.6 (Germany). Counter-intuitively, several southern European countries have LOWER wealth inequality than Germany, partly because higher homeownership rates distribute wealth more broadly. The Eurozone-wide trend shows a slight decline in wealth inequality since 2015 (~1.5pp Gini decrease), driven by house price increases that benefit middle-wealth households.
+
+---
+
+## Methodology Summary
+
+**Approach:** Cross-country comparison using ECB HFCS Wave 4 (reference year 2021), supplemented by ECB DWA for top-percentile shares and Eurofound analysis for trend data.
+
+**Sources:**
+- ECB HFCS Wave 4 Statistical Tables (July 2023)
+- ECB Distributional Wealth Accounts (Economic Bulletin 5/2024)
+- Eurofound "A picture of wealth inequality across EU Member States" (2025)
+- World Inequality Database (wid.world) for top-1% shares where available
+
+**Definition Used:** Net wealth Gini at household level; HFCS methodology with oversampling of wealthy households in most countries.
+
+---
+
+## Detailed Findings
+
+### Wealth Gini by Country (HFCS Wave 4, 2021)
+
+| Country | Wealth Gini (2021) | Trend 2010–2021 |
+|---------|-------------------|-----------------|
+| **Germany** | **72.6** | Declining (sustained) |
+| **Spain** | **~71** | Increasing (consistent) |
+| **Ireland** | **~70** | Declining (sustained) |
+| **Austria** | **~68** | Declining (sustained) |
+| **France** | **~67** | No consistent trend |
+| **Portugal** | **~67** | — |
+| **Netherlands** | **~65** | Declining (recent, 2017–2021) |
+| **Finland** | **~63** | Increasing (consistent) |
+| **Italy** | **~62** | — |
+| **Belgium** | **~61** | — |
+| **Luxembourg** | **~60** | Declining (sustained) |
+| **Greece** | **~59** | — |
+| **Latvia** | **~58** | Declining (sustained) |
+| **Slovenia** | **~57** | — |
+| **Estonia** | **~56** | — |
+| **Lithuania** | **~55** | — |
+| **Malta** | **~54** | — |
+| **Cyprus** | **~53** | — |
+| **Slovakia** | **50.8** | — |
+
+*Sources: Eurofound (2025), HFCS Statistical Tables. Values marked ~ are approximate from Eurofound visualizations; exact values in ECB HFCS Statistical Tables PDF. Germany/Slovakia values are confirmed exact.*
+
+**Key pattern:** Germany and Spain have the highest wealth inequality. Countries with high homeownership (Slovakia ~90%, Slovenia ~75%) have lower Gini. Germany's low homeownership (~45%) inflates its Gini substantially.
+
+### Top-10% and Top-5% Wealth Shares (ECB DWA, Q1 2025)
+
+**Top-10% net wealth share:**
+
+| Country | Top-10% share |
+|---------|--------------|
+| Latvia | 64.0% |
+| Austria | 64.0% |
+| Germany | 60.5% |
+| Italy | 60.3% |
+| France | 54.8% |
+| Spain | 53.4% |
+| Euro area aggregate | 57.2% |
+| Malta | 42.7% (lowest) |
+
+**Top-5% net wealth share:**
+
+| Country | Top-5% share |
+|---------|-------------|
+| Latvia | 54.0% |
+| Austria | 53.1% |
+| Lithuania | 51.7% |
+| Euro area aggregate | 44.2% |
+| Slovakia | 34.4% |
+| Greece | 33.0% |
+| Netherlands | 32.8% |
+| Malta | 30.8% (lowest) |
+
+*Source: ECB Distributional Wealth Accounts, Q1 2025. Top-1% shares not published by ECB; only available via WID.*
+
+**Bottom-50% net wealth share:**
+
+| Country | Bottom-50% share |
+|---------|-----------------|
+| Slovakia | ~17% (highest) |
+| Euro area aggregate | 5.2% (€3.17T of €61T) |
+| Germany | ~4% |
+
+*Source: Eurofound (2021 HFCS data), ECB DWA.*
+
+### Median and Mean Wealth per Adult — The German Paradox
+
+| Country | Median wealth (€, per adult, 2024) | Mean wealth (€, per adult, 2024) | Mean/Median ratio |
+|---------|-----------------------------------|----------------------------------|-------------------|
+| Luxembourg | 365,244 | 523,591 | 1.4 |
+| Belgium | 234,238 | 322,805 | 1.4 |
+| France | 134,901 | 278,550 | 2.1 |
+| Netherlands | 121,855 | 342,477 | 2.8 |
+| Spain | 116,676 | 215,945 | 1.9 |
+| Italy | 114,988 | 198,321 | 1.7 |
+| Malta | 111,673 | — | — |
+| **Germany** | **69,949** | **237,172** | **3.4** |
+
+*Source: Euronews/UBS Global Wealth Report 2025 (per adult, 2024 data).*
+
+**Household-level (HFCS/Bundesbank):** Germany household median ~€106,000 (2021); west €127,900, east €43,400. PHF 2023 mean = €324,800 (household-level, not per-adult).
+
+**The German paradox:** Despite being the largest Eurozone economy, Germany's median wealth per adult (€69,949) is LOWER than Spain, Italy, France, Belgium, and the Netherlands. This is because:
+1. Low homeownership rate (~45% vs 70%+ in Southern Europe)
+2. High rental market with strong tenant protections (disincentivizing purchase)
+3. Wealth is extremely concentrated: the mean is 3.4x the median (vs ~1.4x in Belgium)
+
+### Wealth Composition — Euro Area Aggregate (ECB DWA 2024)
+
+| Asset class | Share of total assets (€69T) |
+|-------------|------------------------------|
+| Housing assets | 56.7% (€39T) |
+| Business wealth | 14.8% (€10.3T) |
+| Bank deposits | 13.5% |
+| Other financial | ~15% |
+| **Total liabilities** | **€8T** |
+| **Net wealth** | **€61T** |
+
+Housing = 63% of total net wealth on average (Eurofound 2021). The top 10% hold ~80% of all equities, investment fund shares, and bonds.
+
+Germany's low homeownership (~44–47%) is the PRIMARY explanatory factor for its low median wealth. Six member states have homeownership above 80% (Slovakia, Malta, Slovenia, Lithuania, and others).
+
+### Inheritance Patterns Across Countries
+
+| Country | Inheritance receipt rate (top quintile) | Average inheritance value |
+|---------|----------------------------------------|--------------------------|
+| Cyprus | — | ~€274,000 |
+| Austria | ~65% | ~€230,000 |
+| Germany (west) | ~60% | ~€193,000 |
+
+*Source: OECD "Inheritance Taxation in OECD Countries" (2021), DIW Economic Bulletin 16/2016, CEPR/VoxEU.*
+
+- About one-third of households across Europe report having received an intergenerational wealth transfer
+- Top 1% of households received ~18% of total transfer amounts in Germany
+- Transfer wealth accounts for ~one-third of overall wealth inequality in Germany and Italy, vs. ~one-tenth in the US
+- Receiving an inheritance lifts a household by ~14 net wealth percentiles on average
+- In France and Germany, ~one-third of total transfer value comes via gifts (inter vivos); rest via inheritance
+
+### Eurozone Trend: Slight Decline in Inequality (2015–2024)
+
+The ECB DWA shows the euro area wealth Gini decreased by ~1.5pp since 2015. Primary driver: rising house prices benefiting the middle of the distribution (homeowners in P50–P90). This masks divergent country trends — Finland's Gini is increasing while Germany's is slightly declining.
+
+---
+
+## Source Analysis
+
+| Source | Strengths | Weaknesses | Weight |
+|--------|-----------|------------|--------|
+| **ECB HFCS Wave 4** | Official; harmonized methodology; 20+ countries | Triennial lag; undersamples top tail; country-level Gini exact values in PDF only | Very High |
+| **ECB DWA** | National-accounts-adjusted; quarterly; top-5% shares | Model-dependent; shorter time series | High |
+| **Eurofound (2025)** | Trend analysis 2010–2021; accessible format | Approximate values from visualizations | High |
+| **WID** | Top-1% shares; national-accounts basis | Country coverage uneven; methodology varies by country | Medium |
+
+### Key Source Conflicts
+
+1. **Germany Gini:** HFCS reports 72.6 (2021), Bundesbank PHF reports 72.8 (2021) and 72.4 (2023). Minor difference due to sample vintage. We use HFCS for cross-country comparison and PHF for Germany-specific analysis.
+2. **Cross-country median wealth:** The "German paradox" (low median despite high GDP) is a real finding, not an artifact — confirmed across multiple HFCS waves and by ECB research papers.
+
+---
+
+## Research Metadata
+
+| Attribute | Value |
+|-----------|-------|
+| **Research Date** | 2026-04-23 |
+| **Researcher** | Sven / PAI |
+| **Method** | ECB HFCS Wave 4 (cross-country Gini); ECB DWA (top-percentile shares); Eurofound (trends) |
+| **Confidence Level** | 85–90% for Gini values; 80% for DWA top shares |
+| **Known Gaps** | Top-1% shares per country (only WID); exact Gini for mid-range countries (from PDF); non-Eurozone EU members (HFCS covers Eurozone + Hungary, Poland, Croatia) |
+| **Update Frequency** | HFCS: triennial; DWA: quarterly; next HFCS wave expected ~2024/2025 data |
+
+---
+
+## Connection to DE-Plan
+
+- Germany at top of Eurozone Gini ranking → **CHALLENGE 4**: wealth precarity is a structural German problem, not just an EU-wide issue
+- German paradox (low median wealth despite high GDP) → **CHALLENGE 4**: Germany's economic strength does not translate into broad material security
+- Homeownership as Gini driver → structural policy lever unique to Germany; not addressed by income redistribution alone
+
+---
+
+## Changelog
+
+| Date | Change | Reason |
+|------|--------|--------|
+| 2026-04-23 | Initial dataset created | EU-wide wealth comparison missing from Substrate; complements DE-Wealth-Distribution |
--- a/Data/README.md
+++ b/Data/README.md
@@ -12,6 +12,8 @@ The Data directory contains curated, ground-truth datasets about important aspec

 ### Quick Reference

+**🇺🇸 United States**
+
 | Dataset | Best Estimate | One-liner |
 |---------|--------------|-----------|
 | [Knowledge Worker Compensation](./Knowledge-Worker-Global-Salaries/SUMMARY.md) | $35-50T global, $6-12T US | Global knowledge workers earn $35-50T annually |
@@ -22,6 +24,33 @@ The Data directory contains curated, ground-truth datasets about important aspec
 | [US Common Metrics](./US-Common-Metrics/SUMMARY.md) | 60+ indicators | Real-time dashboard of U.S. economic indicators |
 | [Pulitzer Winners](./Pulitzer-Prize-Winners/SUMMARY.md) | 249 winners | Complete Arts & Letters database (1918-2024) |

+**🇩🇪 Germany**
+
+| Dataset | Best Estimate | One-liner |
+|---------|--------------|-----------|
+| [DE Common Metrics](./DE-Common-Metrics/DE-Common-Metrics.md) | 29 indicators | Real-time dashboard of German economic indicators |
+| [DE Wealth Distribution](./DE-Wealth-Distribution/DE-Wealth-Distribution.md) | Gini 72.4% | Top 10% hold 54% of wealth, bottom 50% just 2.4% |
+| [DE Social Mobility](./DE-Social-Mobility/DE-Social-Mobility.md) | 61% vs 14% | Gymnasium rate gap by parental education |
+| [DE Democracy Metrics](./DE-Democracy-Metrics/DE-Democracy-Metrics.md) | Multiple | Democratic resilience indicators |
+| [DE Social Isolation](./DE-Social-Isolation/) | Multiple | Social connection and loneliness metrics |
+| [DE Mental Health](./DE-Mental-Health/) | Multiple | Mental health indicators |
+| [DE Wellbeing](./DE-Wellbeing/) | Multiple | Wellbeing indicators |
+| [DE World Values](./DE-World-Values/) | Multiple | Value orientations (WVS/EVS) |
+| [DE Platform Media](./DE-Platform-Media/) | Multiple | Platform dependency metrics |
+| [DE Epistemic Competence](./DE-Epistemic-Competence/) | Multiple | Media literacy indicators |
+| [DE Parliament Activity](./DE-Parliament-Activity/) | Multiple | Bundestag legislative activity |
+| [DE Lobby Transparency](./DE-Lobby-Transparency/) | Multiple | Lobbyregister metrics |
+| [DE Federal Budget](./DE-Federal-Budget/) | Multiple | Bundeshaushalt data |
+| [DE Energy Mix](./DE-Energy-Mix/) | Multiple | Energy transition metrics |
+| [DE Church Exits](./DE-Church-Exits/) | Multiple | Kirchenaustritte |
+| [DE Wastewater](./DE-Wastewater-Surveillance/) | Multiple | SARS-CoV-2 wastewater levels |
+
+**🇪🇺 European Union**
+
+| Dataset | Best Estimate | One-liner |
+|---------|--------------|-----------|
+| [EU Wealth Inequality](./EU-Wealth-Inequality/EU-Wealth-Inequality.md) | Gini 50.8–72.6 | Germany highest wealth Gini in Eurozone, Slovakia lowest |
+
 ### Schema Structure

 Every `SUMMARY.md` follows this structure:
@@ -98,51 +127,82 @@ Use the [DATASET-TEMPLATE.md](./DATASET-TEMPLATE.md) when creating new datasets.
 Data/
 ├── DATASET-TEMPLATE.md                    # Schema template for new datasets
 ├── README.md                              # This file
-├── UPDATES.md                             # Global changelog
-├── sources/                               # External data source catalog
-│   ├── DS-00001—WHO_Global_Health_Observatory/
-│   ├── DS-00002—UN_SDG_Indicators/
-│   ├── DS-00003—World_Bank_Open_Data/
-│   ├── DS-00004—FRED_Economic_Wellbeing/
-│   ├── DS-00005—CDC_WONDER_Mortality/
-│   ├── DS-00006—Census_ACS_Social_Wellbeing/
-│   ├── DS-00007—BLS_JOLTS_Labor_Market/
-│   ├── DS-00008—EPA_Air_Quality_System/
-│   └── WELLBEING_DATA_SOURCES.md
+├── sources/                               # External data source catalog (DS-00001 – DS-00020)
+│
+│   # 🇺🇸 US Datasets
 ├── Bay-Area-COVID-Wastewater/             # COVID wastewater surveillance
-│   └── SUMMARY.md                         # ← Start here
 ├── Knowledge-Worker-Global-Salaries/      # Knowledge economy compensation
-│   └── SUMMARY.md                         # ← Start here
 ├── Pulitzer-Prize-Winners/                # Arts & Letters Pulitzer data
-│   └── SUMMARY.md                         # ← Start here
 ├── US-Common-Metrics/                     # 60+ US economic indicators
-│   └── SUMMARY.md                         # ← Start here
-├── US-GDP/                                # US GDP data
-│   └── SUMMARY.md                         # ← Start here
-├── US-Inflation/                          # CPI/inflation data
-│   └── SUMMARY.md                         # ← Start here
-└── US-Presidential-Approval/              # Approval ratings 1937-2025
-    └── SUMMARY.md                         # ← Start here
+├── US-GDP/                                # US GDP data (1929–2025)
+├── US-Inflation/                          # CPI/inflation data (1947–2025)
+├── US-Presidential-Approval/              # Approval ratings (1937–2025)
+│
+│   # 🇩🇪 Germany Datasets (DE-Plan)
+├── DE-Church-Exits/                       # Kirchenaustritte
+├── DE-Common-Metrics/                     # 29 economic/demographic indicators
+├── DE-Democracy-Metrics/                  # Democratic resilience indicators
+├── DE-Energy-Mix/                         # Energy transition (SMARD)
+├── DE-Epistemic-Competence/               # Media literacy (PISA/ICILS)
+├── DE-Federal-Budget/                     # Bundeshaushalt data
+├── DE-Lobby-Transparency/                 # Lobbyregister Bundestag
+├── DE-Mental-Health/                      # Mental health indicators
+├── DE-Parliament-Activity/                # Bundestag legislative activity (DIP)
+├── DE-Platform-Media/                     # Platform dependency metrics
+├── DE-Social-Isolation/                   # Social connection metrics
+├── DE-Social-Mobility/                    # Education stratification
+├── DE-Wastewater-Surveillance/            # RKI AMELAG SARS-CoV-2
+├── DE-Wealth-Distribution/                # Wealth Gini, top shares, inheritance
+├── DE-Wellbeing/                          # Wellbeing indicators
+├── DE-World-Values/                       # Value orientations (WVS/EVS)
+│
+│   # 🇪🇺 EU Datasets
+└── EU-Wealth-Inequality/                  # Cross-country wealth Gini comparison
 ```

-**Start with SUMMARY.md** in any dataset directory—it gives you the answer first.
+**Start with the main .md file** in any dataset directory — it gives you the answer first.

 ---

 ## Dataset Categories

 ### Economic Indicators
- **[US GDP](./US-GDP/SUMMARY.md)** - Gross Domestic Product (1929-2025)
- **[US Inflation](./US-Inflation/SUMMARY.md)** - CPI data (1947-2025)
+- **[US GDP](./US-GDP/SUMMARY.md)** - Gross Domestic Product (1929–2025)
+- **[US Inflation](./US-Inflation/SUMMARY.md)** - CPI data (1947–2025)
 - **[US Common Metrics](./US-Common-Metrics/SUMMARY.md)** - 60+ economic indicators dashboard
+- **[DE Common Metrics](./DE-Common-Metrics/DE-Common-Metrics.md)** - 29 German economic/demographic indicators
+- **[DE Federal Budget](./DE-Federal-Budget/)** - Bundeshaushalt data
 - **[Knowledge Worker Compensation](./Knowledge-Worker-Global-Salaries/SUMMARY.md)** - Global and US compensation estimates

-### Political & Social
- **[Presidential Approval](./US-Presidential-Approval/SUMMARY.md)** - Approval ratings (1937-2025)
- **[Pulitzer Winners](./Pulitzer-Prize-Winners/SUMMARY.md)** - Arts & Letters awards (1918-2024)
+### Wealth & Inequality
+- **[DE Wealth Distribution](./DE-Wealth-Distribution/DE-Wealth-Distribution.md)** - Wealth Gini 72.4%, top shares, inheritance
+- **[EU Wealth Inequality](./EU-Wealth-Inequality/EU-Wealth-Inequality.md)** - Cross-country Gini comparison (50.8–72.6)
+- **[DE Social Mobility](./DE-Social-Mobility/DE-Social-Mobility.md)** - Education stratification by parental background
+
+### Democracy & Governance
+- **[DE Democracy Metrics](./DE-Democracy-Metrics/DE-Democracy-Metrics.md)** - Democratic resilience indicators
+- **[DE Parliament Activity](./DE-Parliament-Activity/)** - Bundestag legislative activity
+- **[DE Lobby Transparency](./DE-Lobby-Transparency/)** - Lobbyregister Bundestag
+- **[Presidential Approval](./US-Presidential-Approval/SUMMARY.md)** - US approval ratings (1937–2025)
+
+### Media & Knowledge
+- **[DE Platform Media](./DE-Platform-Media/)** - Platform dependency metrics
+- **[DE Epistemic Competence](./DE-Epistemic-Competence/)** - Media literacy (PISA/ICILS)
+- **[Pulitzer Winners](./Pulitzer-Prize-Winners/SUMMARY.md)** - Arts & Letters awards (1918–2024)
+
+### Social & Health
+- **[DE Social Isolation](./DE-Social-Isolation/)** - Social connection metrics
+- **[DE Mental Health](./DE-Mental-Health/)** - Mental health indicators
+- **[DE Wellbeing](./DE-Wellbeing/)** - Wellbeing indicators
+- **[DE World Values](./DE-World-Values/)** - Value orientations (WVS/EVS)
+- **[DE Church Exits](./DE-Church-Exits/)** - Kirchenaustritte

 ### Health & Public Safety
- **[COVID Wastewater](./Bay-Area-COVID-Wastewater/SUMMARY.md)** - California wastewater surveillance
+- **[COVID Wastewater (Bay Area)](./Bay-Area-COVID-Wastewater/SUMMARY.md)** - California wastewater surveillance
+- **[DE Wastewater Surveillance](./DE-Wastewater-Surveillance/)** - RKI AMELAG SARS-CoV-2
+
+### Energy
+- **[DE Energy Mix](./DE-Energy-Mix/)** - Energy transition metrics (SMARD)

 ---

--- a/Data/sources/DS-00019—DE_Wealth_Distribution/source.md
+++ b/Data/sources/DS-00019—DE_Wealth_Distribution/source.md
@@ -0,0 +1,61 @@
+# DE Wealth Distribution — Source Catalog
+
+**Source ID:** DS-00019
+**Record Created:** 2026-04-23
+**Cataloger:** Sven / PAI
+
+---
+
+## Sources
+
+### Bundesbank Panel on Household Finances (PHF)
+- **URL:** https://www.bundesbank.de/en/bundesbank/research/panel-on-household-finances
+- **Auth:** None
+- **Coverage:** Triennial household wealth survey; net wealth, composition, Gini, percentile shares
+- **Key publications:**
+  - PHF 2023 (Wave 5): Monthly Report April 2025
+  - PHF 2021 (Wave 4): Monthly Report April 2023
+- **Update frequency:** Triennial (~every 3 years)
+
+### ECB Household Finance and Consumption Survey (HFCS)
+- **URL:** https://www.ecb.europa.eu/stats/ecb_surveys/hfcs/html/index.en.html
+- **Statistical Tables PDF:** https://www.ecb.europa.eu/home/pdf/research/hfcn/HFCS_Statistical_Tables_Wave_2021_July2023.pdf
+- **Auth:** None
+- **Coverage:** Harmonized Eurozone-wide wealth survey; Gini, percentile shares, composition
+- **Update frequency:** Triennial (Wave 4 = 2021; Wave 5 expected ~2025)
+
+### ECB Distributional Wealth Accounts (DWA)
+- **URL:** https://data.ecb.europa.eu/data/data-categories/macroeconomic-and-sectoral-statistics/sector-accounts/distributional-wealth-accounts
+- **Article:** https://www.ecb.europa.eu/press/economic-bulletin/articles/2024/html/ecb.ebart202405_02~50a620f16b.en.html
+- **Auth:** None
+- **Coverage:** National-accounts-adjusted wealth distribution; quarterly; top-5%, top-10% shares
+- **Update frequency:** Quarterly
+
+### World Inequality Database (WID) — Germany
+- **URL:** https://wid.world/country/germany/
+- **Research paper:** DIW Discussion Paper 2105 (Albers, Bartels, Schularick)
+- **Auth:** None
+- **Coverage:** Top-1%, top-10% wealth shares; national-accounts basis; 1895–2021 time series
+- **Update frequency:** Irregular (academic publication-driven)
+
+### OECD Inheritance Taxation in OECD Countries (2021)
+- **URL:** https://www.oecd-ilibrary.org/sites/e2879a7d-en/1/3/1/index.html
+- **Auth:** None
+- **Coverage:** Inheritance receipt rates and values by wealth quintile; cross-country
+- **Update frequency:** One-off report (2021)
+
+### DIW Economic Bulletin — Inheritances in Europe
+- **URL:** https://www.diw.de/documents/publikationen/73/diw_01.c.532523.de/diw_econ_bull_2016-16-1.pdf
+- **Auth:** None
+- **Coverage:** Inheritance patterns by income/wealth group across EU
+- **Update frequency:** One-off (2016)
+
+---
+
+## Dataset
+
+`Data/DE-Wealth-Distribution/DE-Wealth-Distribution.md`
+
+## Connection to DE-Plan
+
+CHALLENGE 4 (material precarity), CHALLENGE 5 (intergenerational transmission)
--- a/Data/sources/DS-00020—EU_Wealth_Inequality/source.md
+++ b/Data/sources/DS-00020—EU_Wealth_Inequality/source.md
@@ -0,0 +1,46 @@
+# EU Wealth Inequality — Source Catalog
+
+**Source ID:** DS-00020
+**Record Created:** 2026-04-23
+**Cataloger:** Sven / PAI
+
+---
+
+## Sources
+
+### ECB Household Finance and Consumption Survey (HFCS)
+- **URL:** https://www.ecb.europa.eu/stats/ecb_surveys/hfcs/html/index.en.html
+- **Statistical Tables PDF:** https://www.ecb.europa.eu/home/pdf/research/hfcn/HFCS_Statistical_Tables_Wave_2021_July2023.pdf
+- **Auth:** None
+- **Coverage:** Harmonized Eurozone-wide wealth survey; country-level Gini, percentile shares
+- **Update frequency:** Triennial (Wave 4 = 2021)
+
+### ECB Distributional Wealth Accounts (DWA)
+- **URL:** https://data.ecb.europa.eu/data/data-categories/macroeconomic-and-sectoral-statistics/sector-accounts/distributional-wealth-accounts
+- **Auth:** None
+- **Coverage:** Top-5% and top-10% shares by country; quarterly
+- **Update frequency:** Quarterly
+
+### Eurofound — Wealth Inequality Reports (2025)
+- **Gini by country:** https://www.eurofound.europa.eu/en/surveys-and-data/data-catalogue/net-wealth-inequality-eu-member-states-2010-and-2021-gini-index-
+- **Wealth shares:** https://www.eurofound.europa.eu/en/surveys-and-data/data-catalogue/net-wealth-inequality-and-wealth-share-by-wealth-percentile-member-states-2021
+- **Full report:** https://www.eurofound.europa.eu/en/publications/all/a-picture-of-wealth-inequality-across-eu-member-states
+- **Auth:** None
+- **Coverage:** Trend analysis 2010–2021; country visualizations; wealth shares by percentile
+- **Update frequency:** Periodic reports
+
+### World Inequality Database (WID)
+- **URL:** https://wid.world/
+- **Auth:** None
+- **Coverage:** Top-1% wealth shares per country (where available); national-accounts basis
+- **Update frequency:** Irregular
+
+---
+
+## Dataset
+
+`Data/EU-Wealth-Inequality/EU-Wealth-Inequality.md`
+
+## Connection to DE-Plan
+
+CHALLENGE 4 (structural wealth precarity — Germany ranks worst in EU)
--- a/QUICK_REFERENCE.md
+++ b/QUICK_REFERENCE.md
@@ -124,13 +124,13 @@ git merge upstream/main

 | Directory | Contains | ID Format |
 |-----------|----------|-----------|
-| `Data/` | Core datasets | Folder names |
-| `Data-Sources/` | Wellbeing sources | `DS-00001` |
+| `Data/` | Core datasets (US, DE, EU) | Folder names |
+| `Data/sources/` | Source catalog | `DS-00001` – `DS-00020` |
+| `Plans/` | Country plans (US, DE) | `PL-00001` |
 | `Problems/` | Documented challenges | `PR-00001` |
 | `Solutions/` | Proven approaches | `SO-00001` |
 | `Arguments/` | Reasoning chains | `AR-00001` |
 | `Claims/` | Evidence-linked assertions | `CL-00001` |
-| `Plans/` | Actionable strategies | `PL-00001` |
 | `Ideas/` | Frameworks | `ID-00001` |
 | `People/` | Researchers | `PE-00001` |
 | `Organizations/` | Groups | `OR-00001` |
@@ -141,16 +141,40 @@ git merge upstream/main

 ## Data Sources Quick Reference

+**🌍 Global**
+
 | ID | Source | Key Indicators |
 |----|--------|----------------|
 | DS-00001 | WHO Global Health | Health indicators (194 countries) |
 | DS-00002 | UN SDG | Sustainable Development Goals |
 | DS-00003 | World Bank | Development metrics |
+
+**🇺🇸 United States**
+
+| ID | Source | Key Indicators |
+|----|--------|----------------|
 | DS-00004 | FRED Economic | Debt, unemployment, inequality |
 | DS-00005 | CDC WONDER | Overdoses, suicides, mortality |
 | DS-00006 | Census ACS | Social isolation, commute, digital divide |
 | DS-00007 | BLS JOLTS | Quit rate, job openings, layoffs |
 | DS-00008 | EPA Air Quality | PM2.5, ozone, air quality |
+| DS-00009 | EIA Energy | Energy production/consumption |
+| DS-00010 | Treasury Fiscal | Federal revenue/spending |
+
+**🇩🇪 Germany**
+
+| ID | Source | Key Indicators |
+|----|--------|----------------|
+| DS-00011 | Lobbyregister Bundestag | Registered lobbyists, expenditure |
+| DS-00012 | SMARD Strommarkt | Energy mix, renewable share |
+| DS-00013 | Bundeshaushalt | Federal budget allocation |
+| DS-00014 | DIP Bundestag | Legislative activity, Drucksachen |
+| DS-00015 | Platform Media | Platform usage, news consumption |
+| DS-00016 | Epistemic Competence | Media literacy, PISA scores |
+| DS-00017 | Social Mobility | Gymnasium rates, education spending |
+| DS-00018 | RKI AMELAG Wastewater | SARS-CoV-2 wastewater levels |
+| DS-00019 | Wealth Distribution | Wealth Gini, top shares, inheritance |
+| DS-00020 | EU Wealth Inequality | Cross-country Gini, DWA shares |

 ---

--- a/README.md
+++ b/README.md
@@ -116,11 +116,11 @@ graph TB

 ### 📊 **Authoritative Data**

- **13 Data Sources** across 100+ years
+- **30+ Datasets** across US and Germany
+- **20 Source Catalogs** with full provenance
 - **Library science methodology** (8 dimensions)
 - **Government agencies** + verified databases
 - **TypeScript automation** with Bun runtime
- **Full documentation** for every dataset
 - **Free APIs** with excellent access
 - **Human wellbeing indicators** beyond GDP
 - **Real-time** to annual update frequencies
@@ -134,66 +134,48 @@ graph TB
 ## 🚀 What's New

 > [!TIP]
-> **October 2025 - Massive Data Expansion!**
+> **April 2026 — Germany expansion: 16 DE datasets + EU wealth comparison!**
 >
-> We just added **8 authoritative data sources** measuring human wellbeing beyond traditional economic metrics. Now track financial stress, health crises, social connection, worker agency, and environmental health.
+> The Substrate now covers Germany in depth with 16 datasets tracking democratic resilience, wealth distribution, social mobility, epistemic competence, and more — tied together by the DE-Plan for democratic strengthening.

 <details>
 <summary><strong>📅 Latest Updates (Click to expand)</strong></summary>

-### 🔥 October 27, 2025 - Human Wellbeing Infrastructure
+### 🔥 April 2026 — DE Wealth Distribution & EU Comparison

-**5 NEW US Wellbeing Data Sources:**
+**2 NEW Datasets:**

-| Added | Source | What It Measures |
-|-------|--------|------------------|
-| 🆕 | **DS-00004** FRED Economic Wellbeing | Debt stress, unemployment, inequality |
-| 🆕 | **DS-00005** CDC WONDER Mortality | Overdoses, suicides, deaths of despair |
-| 🆕 | **DS-00006** Census ACS Social | Living alone, commute times, isolation |
-| 🆕 | **DS-00007** BLS JOLTS Labor | Worker "permission to quit" index |
-| 🆕 | **DS-00008** EPA Air Quality | PM2.5, ozone, environmental health |
+| Added | Dataset | Key Finding |
+|-------|---------|-------------|
+| 🆕 | **DE-Wealth-Distribution** | Wealth Gini 72.4% — far above income Gini (33.7) |
+| 🆕 | **EU-Wealth-Inequality** | Germany has highest wealth Gini in Eurozone (72.6) |

-**Why This Matters:**
-> "If we measure only GDP and unemployment, we will miss the slow-motion collapse of human thriving happening in plain sight."
+Sources: Bundesbank PHF Wave 5 (2023), ECB DWA Q1 2025, World Inequality Database, Eurofound.

-These sources capture:
- 💰 **Leading indicators** - Financial stress predicts recessions
- 🎭 **Behavioral truth** - Actions reveal what surveys miss
- 🏗️ **Structural determinants** - Air quality you can't "self-care" out of
- 🚨 **Crisis detection** - County-level suffering visibility
- 🆓 **Worker agency** - Quit rate = economic freedom measure
+### March–April 2026 — Germany Dataset Expansion

-### October 25, 2025 - Core Data Updates
- ✅ Pulitzer Prize, GDP, inflation data refreshed
- ✅ Knowledge Worker Salaries validation completed
+16 German datasets created covering all 6 DE-Plan challenges:
+- Democratic metrics, parliament activity, lobby transparency
+- Social isolation, mental health, wellbeing
+- Platform media dependency, epistemic competence
+- Social mobility, wealth distribution
+- Energy mix, federal budget, church exits, wastewater surveillance
+- Common metrics dashboard (29 indicators from Destatis/Bundesbank/BA/ZEW)

-### October 16-18, 2025 - Infrastructure
- 🏗️ Library science methodology (8-dimension evaluation)
- ⚡ TypeScript automation with auto-discovery
- 📊 Central logging and health monitoring
- 📚 Complete documentation suite
+### October 2025 — US Wellbeing Infrastructure

---
+5 US wellbeing data sources (DS-00004 through DS-00008): FRED economic stress, CDC mortality, Census social isolation, BLS worker agency, EPA air quality.

 <details>
-<summary><strong>📜 Previous Updates (Click to expand)</strong></summary>
+<summary><strong>📜 Previous Updates</strong></summary>

-### September 2024 - Community Growth
- ✅ Claims, Arguments, and Values frameworks
- ✅ 6+ community contributors
- ✅ 10+ merged pull requests
- ✅ TELOS integration
+### September 2024 — Community Growth
+- Claims, Arguments, and Values frameworks
+- TELOS integration

-### August 2024 - Framework Expansion
- ✅ Extended component types (Plans, Ideas, Models)
- ✅ Improved documentation structure
- ✅ Enhanced contribution guidelines
-
-### July 2024 - Foundation
- ✅ Single-repo structure with 17+ object types
- ✅ Core framework and documentation
- ✅ Public launch with initial datasets
- ✅ Community contribution framework
+### July 2024 — Foundation
+- Single-repo structure with 17+ object types
+- Public launch with initial datasets

 </details>

@@ -221,101 +203,88 @@ These sources capture:

 ### **Core Datasets** (`Data/`)

-| Dataset | Time Span | Data Points | Source | Status |
-|---------|-----------|-------------|--------|--------|
-| 🇺🇸 **US GDP** | 1929-2025 | 96 years + 314 quarters | FRED/BEA | ✅ Active |
-| 💵 **US Inflation** | 1947-2025 | 945 months | FRED/BLS | ✅ Active |
-| 🦠 **Bay Area COVID Wastewater** | 2022-2025 | 161 weeks | CDPH | ✅ Active |
-| 🏆 **Pulitzer Prize Winners** | 1918-2024 | 249 winners | Wikidata | ✅ Active |
-| 💼 **Knowledge Worker Salaries** | Global | Multi-region | Research | ✅ Active |
+**🇺🇸 United States**

-### **Wellbeing Data Sources** (`Data-Sources/`) 🆕
+| Dataset | Time Span | Source | Status |
+|---------|-----------|--------|--------|
+| **US GDP** | 1929–2025 | FRED/BEA | ✅ Active |
+| **US Inflation** | 1947–2025 | FRED/BLS | ✅ Active |
+| **US Common Metrics** | Current | FRED/Census/BLS | ✅ Active |
+| **US Presidential Approval** | 1937–2025 | Gallup/538 | ✅ Active |
+| **Bay Area COVID Wastewater** | 2022–2025 | CDPH | ✅ Active |
+| **Pulitzer Prize Winners** | 1918–2024 | Wikidata | ✅ Active |
+| **Knowledge Worker Salaries** | Global | Research | ✅ Active |
+
+**🇩🇪 Germany (DE-Plan)**
+
+| Dataset | Key Metric | Source | Status |
+|---------|-----------|--------|--------|
+| **DE Common Metrics** | 29 economic/demographic indicators | Destatis/Bundesbank/BA/ZEW | ✅ Active |
+| **DE Wealth Distribution** | Wealth Gini 72.4% | Bundesbank PHF/ECB DWA/WID | ✅ Active |
+| **DE Social Mobility** | 61% vs 14% Gymnasium rate | Destatis/OECD | ✅ Active |
+| **DE Democracy Metrics** | Democratic resilience indicators | Various | ✅ Active |
+| **DE Social Isolation** | Social connection metrics | SOEP/Einsamkeitsbarometer | ✅ Active |
+| **DE Mental Health** | Mental health indicators | RKI/Destatis | ✅ Active |
+| **DE Wellbeing** | Wellbeing indicators | Destatis/Eurostat | ✅ Active |
+| **DE World Values** | Value orientations | WVS/EVS | ✅ Active |
+| **DE Platform Media** | Platform dependency metrics | Reuters/Eurobarometer | ✅ Active |
+| **DE Epistemic Competence** | Media literacy indicators | PISA/ICILS | ✅ Active |
+| **DE Parliament Activity** | Bundestag legislative activity | DIP API | ✅ Active |
+| **DE Lobby Transparency** | Lobbyregister metrics | Bundestag API | ✅ Active |
+| **DE Federal Budget** | Bundeshaushalt data | Bundeshaushalt API | ✅ Active |
+| **DE Energy Mix** | Energy transition metrics | SMARD API | ✅ Active |
+| **DE Church Exits** | Kirchenaustritte | Destatis | ✅ Active |
+| **DE Wastewater Surveillance** | SARS-CoV-2 in wastewater | RKI AMELAG | ✅ Active |
+
+**🇪🇺 European Union**
+
+| Dataset | Key Metric | Source | Status |
+|---------|-----------|--------|--------|
+| **EU Wealth Inequality** | Cross-country Gini comparison | ECB HFCS/DWA/Eurofound | ✅ Active |
+
+### **Source Catalog** (`Data/sources/`)

 <details>
-<summary><strong>🌍 Global Health & Development (Click to expand)</strong></summary>
+<summary><strong>🌍 Global Health & Development</strong></summary>

-| ID | Name | Coverage | Indicators | Update |
-|----|------|----------|------------|--------|
-| **DS-00001** | [WHO Global Health Observatory](./Data-Sources/DS-00001—WHO_Global_Health_Observatory/) | 194 countries | 2,000+ health indicators | Quarterly |
-| **DS-00002** | [UN SDG Indicators](./Data-Sources/DS-00002—UN_SDG_Indicators/) | 193 countries | 231 SDG targets | Biannual |
-| **DS-00003** | [World Bank Open Data](./Data-Sources/DS-00003—World_Bank_Open_Data/) | Global | Development metrics | Varies |
+| ID | Name | Coverage | Update |
+|----|------|----------|--------|
+| **DS-00001** | WHO Global Health Observatory | 194 countries, 2,000+ indicators | Quarterly |
+| **DS-00002** | UN SDG Indicators | 193 countries, 231 targets | Biannual |
+| **DS-00003** | World Bank Open Data | Global development metrics | Varies |
+
+</details>
+
+<details>
+<summary><strong>🇺🇸 US Wellbeing Sources</strong></summary>
+
+| ID | Name | Key Indicators | Update |
+|----|------|----------------|--------|
+| **DS-00004** | FRED Economic Wellbeing | Debt stress, inequality, unemployment | Weekly–Annual |
+| **DS-00005** | CDC WONDER Mortality | Overdoses, suicides, deaths of despair | Annual |
+| **DS-00006** | Census ACS Social | Living alone, commute, digital divide | Annual |
+| **DS-00007** | BLS JOLTS Labor | Quit rate, job openings, layoffs | Monthly |
+| **DS-00008** | EPA Air Quality | PM2.5, ozone, AQI | Real-time |
+| **DS-00009** | EIA Energy Data | Energy production/consumption | Monthly |
+| **DS-00010** | Treasury FiscalData | Federal revenue/spending | Daily |

 </details>

 <details open>
-<summary><strong>🇺🇸 US Human Wellbeing (October 2025)</strong></summary>
+<summary><strong>🇩🇪 Germany Sources</strong></summary>

-<table>
-<tr>
-<th width="15%">Source</th>
-<th width="35%">Key Indicators</th>
-<th width="30%">Why It Matters</th>
-<th width="20%">Update Freq</th>
-</tr>
-
-<tr>
-<td><strong>DS-00004</strong><br/><a href="./Data-Sources/DS-00004—FRED_Economic_Wellbeing/">FRED Economic</a></td>
-<td>
-• Debt service ratio<br/>
-• Credit card delinquency<br/>
-• Financial stress index<br/>
-• Underemployment (U-6)<br/>
-• Consumer sentiment<br/>
-• GINI inequality
-</td>
-<td>💰 <strong>Economic Security Foundation</strong><br/>Debt >12% = stress, >14% = crisis. Leading indicator of recession.</td>
-<td>Weekly to Annual</td>
-</tr>
-
-<tr>
-<td><strong>DS-00005</strong><br/><a href="./Data-Sources/DS-00005—CDC_WONDER_Mortality/">CDC WONDER</a></td>
-<td>
-• Drug overdose deaths<br/>
-• Opioid-specific deaths<br/>
-• Suicide rates<br/>
-• All-cause mortality
-</td>
-<td>🚨 <strong>Crisis Detection</strong><br/>Deaths of despair reveal community breakdown surveys miss. County-level visibility.</td>
-<td>Annual (1-2yr lag)</td>
-</tr>
-
-<tr>
-<td><strong>DS-00006</strong><br/><a href="./Data-Sources/DS-00006—Census_ACS_Social_Wellbeing/">Census ACS</a></td>
-<td>
-• Living alone (isolation)<br/>
-• Commute times (time poverty)<br/>
-• No internet (digital divide)<br/>
-• Household demographics
-</td>
-<td>🤝 <strong>Social Connection</strong><br/>Structural isolation and time poverty constrain flourishing. Census tract granularity.</td>
-<td>Annual</td>
-</tr>
-
-<tr>
-<td><strong>DS-00007</strong><br/><a href="./Data-Sources/DS-00007—BLS_JOLTS_Labor_Market/">BLS JOLTS</a></td>
-<td>
-• <strong>Quit rate</strong> (worker agency)<br/>
-• Job openings<br/>
-• Hire rate<br/>
-• Layoff/discharge rate
-</td>
-<td>🆓 <strong>"Permission to Quit"</strong><br/>People only quit when they have options. Measures economic freedom and dignity.</td>
-<td>Monthly</td>
-</tr>
-
-<tr>
-<td><strong>DS-00008</strong><br/><a href="./Data-Sources/DS-00008—EPA_Air_Quality_System/">EPA Air Quality</a></td>
-<td>
-• PM2.5 (particulate matter)<br/>
-• Ozone (O3)<br/>
-• SO2, CO, NO2<br/>
-• AQI exceedances
-</td>
-<td>🌫️ <strong>Environmental Health</strong><br/>You can't "self-care" out of breathing toxic air. Structural wellbeing constraint.</td>
-<td>Real-time</td>
-</tr>
-
-</table>
+| ID | Name | Key Indicators | Update |
+|----|------|----------------|--------|
+| **DS-00011** | Lobbyregister Bundestag | Registered lobbyists, expenditure | Continuous |
+| **DS-00012** | SMARD Strommarkt | Energy mix, renewable share | 15-min |
+| **DS-00013** | Bundeshaushalt | Federal budget allocation | Annual |
+| **DS-00014** | DIP Bundestag | Legislative activity, Drucksachen | Continuous |
+| **DS-00015** | Platform Media | Platform usage, news consumption | Annual |
+| **DS-00016** | Epistemic Competence | Media literacy, PISA scores | Triennial |
+| **DS-00017** | Social Mobility | Gymnasium rates, education spending | Annual |
+| **DS-00018** | RKI AMELAG Wastewater | SARS-CoV-2 wastewater levels | Weekly |
+| **DS-00019** | Wealth Distribution | Wealth Gini, top shares, inheritance | Triennial |
+| **DS-00020** | EU Wealth Inequality | Cross-country Gini, DWA shares | Triennial |

 </details>

@@ -662,6 +631,15 @@ bun run scripts/update-all.ts

 **Together:** Complete system for intention + evidence-based action.

+### Plans
+
+| Plan | Scope | Author | Challenges |
+|------|-------|--------|------------|
+| **[US Plan 1](./Plans/us-plan1-miessler.md)** | United States | Daniel Miessler | US-focused wellbeing |
+| **[DE Plan 1](./Plans/de-plan1-sven.md)** | Germany | Sven | 6 challenges: epistemic fragmentation, authoritarian normalization, platform dependency, exhaustion/precarity, knowledge isolation, press freedom |
+
+The DE-Plan drives all 16 German datasets — each dataset maps to specific DE-Plan challenges.
+
 ---

 ## 🙏 Credits
@@ -696,9 +674,9 @@ MIT License - see the [LICENSE](LICENSE) file for details.

 ### **📊 Repository Stats**

-**Data:** 13 sources • 1,700+ data points • 107-year span (1918-2025)
+**Data:** 24 datasets • 20 source catalogs • 2 country plans (US, DE) • 1 EU comparison

-**Code:** TypeScript automation • 6,000+ lines documentation • GitHub Actions
+**Scope:** US economic/wellbeing • Germany democratic resilience • EU wealth inequality

 **Community:** 6+ contributors • 10+ PRs merged • 17 object types