Safe Withdrawal Rate Failure: What Running Out of Money Looks Like

What happens if your Safe Withdrawal Rate (SWR) is too high? A look at historical market data and tips for recovery.

📌 Summary & Key Takeaways

  • 5.0% SWR Failures Are Concentrated in 2 Major Inflation & Stagflation Regimes: Across 816 rolling 30-year monthly cohorts (50% S&P 500 / 50% 5-Year Treasuries from 1928 to 1995), a 5.0% SWR shows a 74.1% overall success rate (605 of 816 cohorts survived). Every single failure cluster is concentrated in the 1929 Great Crash / 1936–1940 Great Depression echo and the 1959–1973 stagflation era.
  • Stagflationary Inflation Is More Destructive Than Market Crashes: The 1960s cohort bankruptcies were not triggered by sudden equity crashes — nominal returns appeared stable. The failure mechanism was real return drag: inflation eroded purchasing power while nominal returns stagnated, depleting portfolios within 19 to 30 years.
  • Failures Occur Deep Into Retirement (Years 19–30): Every single 5.0% SWR bankruptcy occurred at Year 19 or later (with over 80% failing in Years 21–30). By Year 15 (Month 180), the median failing portfolio had already declined to roughly 35% of its starting real value — providing a critical window to adjust spending or generate supplemental income before running out of capital.

Historical Success Rates & Failure Regimes

In my previous analysis of Safe Withdrawal Rates (SWR), I modeled baseline survival math across generic return and volatility distributions. But I wanted to test what happens when we stress-test higher withdrawal rates against actual U.S. market history starting in 1928 across 816 rolling 30-year monthly cohorts.

Bar chart illustrating 30-year survival success rates for 3%, 4%, 5%, and 6% SWRs across 816 monthly cohorts from 1928 to 1995.
Success Rates for a 30-Year Retirement by Safe Withdrawal Rate: Historical 30-year success rates across 816 monthly cohorts (1928–1995): 3% (100.0%), 4% (99.8%), 5% (74.1%), 6% (52.1%) for a 50/50 stock/bond portfolio.

This chart models historical 30-year survival rates for 3.0%, 4.0%, 5.0%, and 6.0% withdrawal rates applied to a 50/50 stock/bond portfolio (50% S&P 500 and 50% 5-Year Intermediate Treasuries).

While a 3.0% SWR achieved a 100.0% survival rate and a 4.0% SWR achieved 99.8% (814 of 816 cohorts), a 5.0% SWR survived in 74.1% of starting 30-year monthly cohorts (605 of 816 cohorts). But what does that ~26% failure rate look like in real dollars, and when do those bankruptcies hit?


Portfolio Returns: Nominal vs. Real Purchasing Power

To model decumulation accurately, we have to look at real (inflation-adjusted) returns. The portfolio modeled here uses 50% S&P 500 and 50% 5-Year Intermediate Treasuries.

Logarithmic line chart comparing nominal growth versus inflation-adjusted real purchasing power of a 50/50 portfolio.
50/50 Portfolio Nominal vs. Real Returns (1928–2025): Stagflationary inflation during the 1960s eroded real purchasing power despite positive nominal return growth.

The Stealth Drag of Inflation

During the 1960s and 1970s, nominal portfolio balances appeared to drift upward on paper. But real purchasing power was flat to declining. Inflation matched or exceeded nominal portfolio growth, silently eroding the principal needed to sustain annual inflation-adjusted withdrawals.


Failures Are Clustered, Not Random

When I mapped failing 30-year monthly cohorts onto annual real return histories, a striking pattern emerged:

Real composite market index from 1928 to 2025 with 211 5.0% SWR failure monthly cohorts highlighted in red.
50/50 Portfolio Annual Real Returns with Failure Cohort Overlay: All 211 monthly 5.0% SWR failure cohorts cluster into distinct regimes: the late 1920s–1940 Great Depression era and the mid-1950s–1973 stagflation era (74.1% overall success rate across 816 cohorts).

Retirement failures were not randomly distributed across time. Every single bankruptcy was concentrated into distinct starting market clusters:

  • Late 1920s & 1930s (1928–1930, 1935–1940): Wall Street Crash of 1929 and post-Depression echo crash with stagnant real yields.
  • Mid-1950s to Early 1970s (1955–1956, 1959–1973): Persistent 1960s–1970s stagflation and real return drag.

Failure Breakdown Math

  • Failing Cohort Months: 211 failing monthly cohorts out of 816 (1928-12 to 1930-09, 1935-11 to 1940-04, 1955-12 to 1956-08, and 1959-01 to 1973-07).
  • Years to Depletion: Ranged from 19.4 to 29.9 years.
  • Over 80% of failures occurred in Years 21–30.
  • 100% of failures occurred at Year 19 or later.

Because depletion happened late in retirement, early account balances looked deceptively safe during the first decade.


Anomaly Case Studies: The Mechanism of Failure

Real price index for 1935 to 1954 highlighting the 1937 retirement failure cohort in red.
1937 Cohort Deep Dive: Post-Depression Recovery vs Drag: The 1937 cohort depleted at Year 22 due to stagnant post-depression real returns and sequence risk.

Real price index for 1960 to 1985 highlighting the 1960s stagflation failure cohorts in red.
1960s Cohort Deep Dive: Persistent Stagflation Real Return Drag: Inflation eroded purchasing power while nominal returns stagnated, depleting 5% SWR accounts in 19–30 years across failing cohorts.

Examining the trajectory curves above reveals that bankruptcy occurs when a retirement starts immediately prior to an extended multi-year stretch of near-zero real returns.


The Depletion Trajectory: How Bankruptcies Unfold

"How did you go bankrupt? Two ways. Gradually, then suddenly."
— Ernest Hemingway, The Sun Also Rises

Multi-panel plot showing 816 simulated balance trajectories over 30 years for a 5.0% SWR with final wealth histogram.
5.0% SWR 30-Year Decumulation Trajectories & Final Wealth Distribution: 211 of 816 monthly cohorts (25.9% failure rate) depleted within 19–30 years under a 5.0% SWR.

Decumulation paths for all 211 failing runs under a 5.0% SWR from 1928–1995.
5.0% SWR Failing Portfolio Trajectories (211 Cohorts): All 211 5.0% SWR failure cohorts deplete between 19–30 years. Portfolios are already in steep decline well before final depletion.

Comparing all 816 historical monthly cohort trajectories (top) against failing cohorts only (bottom) highlights an important diagnostic benchmark:

By Year 15 (Month 180), the median failing portfolio had already declined to roughly 35% of its starting real purchasing power (83% of failing cohorts were below 50%). This provides a 15-year early warning window for retirees to adjust spending before capital depletion accelerates.


Pushing the Limit: What Happens at a 6.0% SWR?

Line chart with 391 6.0% SWR failure cohorts overlaid on composite real price index.
Historical 6.0% SWR Survival Success Rates by Cohort Year: Increasing SWR to 6.0% drops success to 52.1% (391 failures out of 816 monthly cohorts).

Multi-panel plot showing 6.0% SWR wealth curves with bottom final wealth distribution histogram.
6.0% SWR 30-Year Decumulation Trajectories & Final Wealth Distribution: Under a 6.0% SWR, 391 of 816 monthly cohorts depleted (52.1% success rate), skewed toward early insolvency.

When I increased the withdrawal rate to 6.0%:

  • The overall historical success rate dropped from 74.1% down to 52.1% (425 of 816 monthly cohorts survived).
  • Failure clusters expanded significantly across starting cohorts.
  • Depletion timelines accelerated, with account balances running out as early as Year 15.

Best Case Scenarios: Portfolio Accumulation Surprises

Multi-panel plot showing wealth curves for top surviving historical cohorts with bottom final wealth distribution histogram.
Top 25% Surviving Portfolio Accumulation Trajectories & Final Wealth: Surviving cohorts benefit from early strong market returns compounding portfolio wealth to $2M–$5M+.

While failing runs ran out of capital late in retirement, the top 25% of surviving historical runs saw account balances compound to $1.6M–$4.4M+ by Year 30. A conservative withdrawal rate paired with strong early market returns creates substantial upside wealth.


Key Takeaways

  1. Failures Occur Deep in Retirement: Depletion typically hits in Years 19–30, when returning to full-time work is least feasible.
  2. Track Real Returns, Not Nominal Balances: Multi-year stretches of near-zero real returns are far more destructive to withdrawal survival than short, sharp market crashes that recover quickly.
  3. Use Year 15 as an Early Warning Checkpoint: If portfolio real balance drops below 50% of starting value by Year 15, it's a strong signal of a failing trajectory — reduce spending or supplement income to ride out the economic cycle.
  4. Modest Adjustments Restore Resilience: Reducing a withdrawal rate from 5.0% to 4.0% restores 99.8% historical survival across all 816 monthly 30-year cohorts since 1928.

Methodology & Bengen Benchmark Comparison

💡 Methodology Callout: Monthly Cohort Density vs. Bengen Benchmark & CPI Adjustments

  • High-Density Monthly Starting Cohorts: Unlike William Bengen's classic 1994 paper ("Determining Withdrawal Rates Using First-Day-of-the-Year Data"), which evaluated 50 annual cohorts starting on January 1st of each year, this simulation runs a high-density quant sweep of 816 rolling 30-year monthly cohorts starting on the 1st of every month from January 1928 to December 1995.
  • Annual CPI Step-Up Withdrawal Mode (WITHDRAWAL_MODE_ANNUAL_CPI_STEP): To model realistic retiree budgeting, withdrawals are modeled using annual CPI step-ups. A retiree sets a fixed nominal monthly withdrawal amount for Months 1–12 based on the initial withdrawal rate (e.g. 5.0% / 12 = $4,166.67/mo on a $1M portfolio). At Month 13 (and every 12 months thereafter), the monthly withdrawal amount steps up by the trailing 12-month CPI inflation rate.
  • Comparison with Continuous Real Decumulation (WITHDRAWAL_MODE_CONTINUOUS_REAL): Continuous real decumulation adjusts the monthly withdrawal amount every single month based on that exact month's CPI. In practice, annual CPI step-ups generate identical survival success rates over 30-year horizons while capturing the real-world friction of annual budget adjustments.

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Frequently Asked Questions

SWR failures are almost exclusively caused by poor market returns early in retirement (Sequence of Returns Risk) coupled with high inflation. If you withdraw heavily from a shrinking portfolio, it cannot recover even when the market eventually bounces back.

Inflation is the silent killer of retirement plans. If inflation spikes to 8%, your withdrawal amount must also increase by 8% just to maintain your lifestyle. If this happens during a market crash, your portfolio depletion rate accelerates drastically.

The most mathematically robust way to prevent SWR failure is to use a dynamic withdrawal strategy. Instead of rigidly taking out 4% every year, you establish 'guardrails'—cutting your spending by 10% or 15% if your portfolio drops below a certain threshold.

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Paul Dunn Profile
Written by Paul Dunn

Founder & Lead Engineer at AlgorithmicFIRE

Paul Dunn applies software engineering and data analysis principles to retirement planning. As a data engineer, he designs quantitative simulators (Monte Carlo, SWR sweep, tax optimizers) to verify portfolio longevity against historical and statistical cycles.


View Video Transcript

When you're planning for retirement, there is one giant kind of scary question, right? How do you make your money last? Today we are going to dig into a really popular rule of thumb that promises an easy answer. But we're also going to see what a hundred years of data tells us about when that promise can go really, really wrong. You know, the biggest challenge in retirement is turning that pile of savings you've built up into a steady paycheck that you can outlive. It's a super complex problem. But for decades, people have been looking for a simple fix. You know, that one single number they can just trust. Okay, let's make this real. Imagine this is you. You've worked your tail off. You've saved a million bucks. So now what? Can you spend $30,000 a year? 50,000? How about 70? If you pick the wrong number, well, the consequences are severe. This is the question that keeps people up at night. And that brings us to this key idea, the safe withdrawal rate, or SWR for short. It's supposed to be the magic percentage that lets you sleep easy knowing your money is going to last as long as you do. The whole goal is to find the highest S SWR that is still, you know, safe. So, what does history actually tell us? Well, if you look at the data going all the way back to 1920, it's incredibly reassuring, at least at first. A 3% or a 4% withdrawal rate has literally never failed over a 30-year period. A perfect 100% success rate. I mean, that feels like a guarantee, doesn't it? Now, here's where it gets really interesting. What happens when we push that number to 5%. Historically, even a 5% rate has worked 90% of the time. Think about that for a second. Nine times out of 10, you would have been totally fine. Those sounds like pretty good odds, right? So, what's the catch? Well, the catch is that 10% failure rate. Because when we're talking about your entire life savings, a 1 in 10 chance of running out of money isn't just a statistic. It's a potential disaster. We've got to understand what exactly goes wrong in that 10% of cases. So, let's ask the most important question here. Is it just random bad luck? You know, a stock market crash here, a little inflation there, or is there a specific identifiable pattern to why these retirement plans fail? And the answer, when you look at the data, is surprisingly clear. These failures, they aren't random at all. They're caused by one specific thing. Starting your retirement at the absolute worst possible time. This chart just illustrates the point perfectly. It maps out every single possible 30-year retirement simulation since 1920. Each green line is a success story. Each red line, well, that's a failure. But notice something. The red isn't just sprinkled around randomly. It's all clumped together in these few distinct dangerous periods. This is our first major clue. Okay, so let's put on our detective hats and dig into this. If these failures are all clustered together, they have to share a common cause. So, what is this hidden danger that connects these specific moments in history? Okay, on the left, you're seeing historical investment returns. That light blue line is the one to watch. It shows your return after inflation. Now, look at the chart on the right with our red failure zones. See how right before each red cluster kicks off, that light blue line on the left just goes totally flat for years? That's it. That's the connection. And this brings us to the real villain of our story. A long period of near zero real returns. It really doesn't matter if your portfolio goes up 7% on paper if inflation is also 7%. Your purchasing power, your ability to actually go out and buy stuff has gone absolutely nowhere. This is the danger hiding just below the surface. And here they are, the specific start years for retirements that failed with that 5% withdrawal rate. Every single one of these, 1937, the late60s, 1973, and the year 2000, was like a starting pistol for a long grinding period where your investments just could not outrun inflation. It was the definition of bad timing. So, we found the culprit. Now, let's look at the anatomy of these failures. Because it's one thing to see them on a historical chart, but what does this slow grind of low real returns actually do to a retireese's bank account year after year? This famous line from Ernest Hemingway just perfectly captures the terrifying nature of these retirement failures. It isn't one single dramatic market crash that does all the damage. It's a slow, silent erosion that builds for decades before the floor just completely falls out from under you. First, let's look at the 90% of cases that actually worked out. In these scenarios, that starting $1 million portfolio either stays pretty level or in a lot of cases, it actually grows over the 30 years. This is what success looks like and it's the most common outcome which is good news. By now look at the failures. These are the 10% that ran out of money. For the first 15, maybe even 20 years. The decline is slow. It doesn't look like a five alarm fire. But then the portfolio hits a tipping point and just collapses gradually and then all at once. And here's the most crucial point. In every single one of these historical failures, the money didn't run out until deep into retirement. We're talking 23, 26, even 29 years in. The real danger is that you'd feel safe for two whole decades thinking your plan was working with absolutely no idea you are on a collision course with disaster. Okay, that was the bad news. I know. But understanding the risk is the very first step to managing it. Now that we've unmasked the culprit, let's talk about a simple, actionable strategy you can use to protect your own retirement. Here is your three-step survival guide. First, just be more conservative. Start with a rate that has a better track record, something like 4%. Second, monitor what actually matters, those real returns. If you see your investments are struggling to beat inflation for a few years in a row, that is your big warning sign. And third, be flexible. Having a plan to temporarily cut back on spending could be the one thing that saves your entire retirement. And hey, if you need any more convincing on being conservative, just look what happens if you get a little more aggressive and try a 6% withdrawal rate. The success rate just plummets from 90% all the way down to 67%. A third of all retirements would have failed. And failure happens way faster, as early as 16 years in. That tiny 1% difference has a massive impact on your risk. And visually, the danger is even more stark. Remember that chart with the red failure clusters for the 5% rate? This is the same chart, but for a 6% rate. Just look at all that extra red. The clusters of failure get so much bigger and they trap even more retirement start years. It is a powerful picture of how quickly your margin of safety can disappear. So, the ultimate takeaway here is this. Retirement planning cannot be a set it and forget it strategy. The whole idea of one magic number is a myth. The real key to success is staying aware of the economic conditions, especially those real returns, and being flexible enough to adapt your plan when you have to. You know, we've spent all this time focused on that scary 10% of cases that ended in failure. But that begs one final really fascinating question. If bad timing can lead to ruin, what does good timing lead to? What happened to the portfolios that started in the very best years in history?

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