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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>
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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
- 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.
- 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 |