The Limits of a Safe Withdrawal Rate

How much can you safely withdraw each year?

Somebody who has built a corpus wants to know one thing: how much can be taken out each year without running out.

A single percentage would answer it, and one is widely quoted. Its origin is a body of research on United States market history: test every historical starting year, withdraw a fixed amount rising with inflation, and find the largest rate that survived every thirty-year period on record. That is a genuine piece of work and the method is sound.

The trouble is what happens when the number travels. It gets repeated without the market it came from, without the period, and without the several conditions attached to it. This page is about whether that number — or any number of its kind — can be justified from Indian data.

We cannot produce one, and the reason is worth showing rather than asserting.

What does the safe withdrawal rate method need?

The method's strength is entirely in its sample. To find a rate that survived every period, you need many periods, each as long as a retirement, and ideally not overlapping each other so heavily that they are really one observation wearing several hats.

Three requirements, then. Complete runs of data at least as long as the retirement being planned. Enough distinct starting points that the answer is not an accident of one. And returns measured in what the money actually buys, because a retiree's spending rises with prices and a rate computed before inflation answers a different question.

Set against those requirements, here is what the Indian record we hold contains.

Does India's market record support a safe withdrawal rate?

A retirement lasting	Start dates available	After inflation
10 years	17.2 years’ worth	3.5 years’ worth
15 years	12.2 years’ worth	none
20 years	7.2 years’ worth	none
25 years	2.2 years’ worth	none
30 years	none	none

The bottom row is the answer to this article's question. For a thirty-year retirement — which is what a person retiring in their early sixties should be planning for — the number of complete periods in the Indian data is none. Not too few to be reliable. None. The record is shorter than the thing being tested.

Move up the table and it does not improve much. A twenty-five-year horizon leaves 2.2 years’ worth of start dates, meaning every period tested overlaps almost entirely with every other — it is effectively one observation, not a distribution. And the last column, which is the one that matters because it is measured in purchasing power, says none for every horizon beyond ten years. Indian consumer price data on the basis we hold begins in 2013.

So the honest position is not that an Indian safe withdrawal rate is uncertain. It is that the calculation cannot be performed. Any figure presented as one has either used a different market, extended a short record by assumption, or worked before inflation — and each of those is a different number from the one the reader thinks they are getting.

What does Indian data support instead?

Something can still be shown, and it is more useful than a rate.

The sequence-risk experiment established that the order of returns decides a retiree's outcome, using a rearrangement of the same 26 years rather than an inference about the future. Running that same rearrangement across a range of withdrawal rates shows how quickly the risk grows.

Taking out each year	Orders in which the money ran out	Typical amount left
3%	0.0%	₹18.79 crore
4%	0.2%	₹16.67 crore
5%	1.7%	₹14.54 crore
6%	5.0%	₹12.42 crore
7%	9.8%	₹10.29 crore
8%	16.4%	₹8.17 crore

Assumptions carried from the sequence-risk exercise: ₹1 crore starting corpus; beginning-of-year withdrawal at the stated rate applied to that corpus, flat in nominal terms; 20,000 random orderings with a fixed seed; 26 years of Indian equity total-return data, 2000–2025. No fund costs, no tax, no inflation applied.

Read this as a demonstration and not as a table of safe rates — the caption says so and it is worth repeating, because a table of percentages next to a column headed "ran out" is exactly the shape of thing that gets screenshotted without its caveats.

Three reasons it is not a safe-rate table. First, the run is 26 years rather than thirty, so it is a shorter and easier test than a real retirement. Second, the withdrawal is held flat instead of rising with prices, which flatters every row. Both of those simplifications make the test kinder than reality.

The third — shuffling destroys whatever tendency markets have to cluster bad years or to rebound after them — does not have a guaranteed direction. Removing autocorrelation and rebound dynamics can produce sequences no real market would generate in either direction: some artificial paths are more damaging than historical sequences rather than less. The table already shows the risk rising steeply; treat the specific percentages as a demonstration of that steepness, not as reliable estimates of real-world failure rates.

What does the quoted safe withdrawal rate leave out?

Even in the market it was derived from, the familiar figure carries conditions that rarely travel with it, and each one moves the answer.

It assumes a particular mix of shares and bonds, held through the whole retirement, and rebalanced. A different mix gives a different rate. It assumes a fixed real withdrawal — the retiree takes the same purchasing power every year regardless of what the portfolio has done, which is precisely what a sensible person would not do. It assumes no fees, and fees come straight off the sustainable rate. It assumes a fixed thirty-year horizon, so it says nothing about someone who lives longer. And it reports the rate that survived the worst historical period, meaning that in most periods the retiree died with a very large unspent balance — a success by the test's definition and a failure by most people's.

The tax treatment differs by country too, and it matters here: money withdrawn from an Indian equity portfolio is taxed on realised gains, so a given spending requirement needs a larger withdrawal than the headline rate implies.

What can a retiree use instead of a fixed withdrawal rate?

Lakshmi is living off her corpus now, and she cannot wait for a better dataset. The absence of a reliable rate does not leave her without a method — it leaves her with a different one, built from what her spending actually is rather than from a percentage borrowed from another market.

The starting point is her spending, not a rate. What does her year actually cost, split into what must be paid and what she would like to pay? A rate applied to a corpus produces a number with no relationship to her life, whereas the essential total tells her what the portfolio genuinely has to deliver — which is the figure worth protecting, not a withdrawal percentage.

The essential part can be covered, at least in part, with income that does not depend on markets — an employer or government pension, an annuity, a bond ladder — which is the trade-off examined in retirement income flooring. When guaranteed income covers the full essential total, the portfolio funds only genuinely discretionary spending. When it covers only part, the portfolio must first fund the uncovered essential gap, which cannot be deferred or cut in a bad year, and then fund whatever is genuinely discretionary above that. If essentials cost ₹60,000 a month and dependable income covers ₹40,000 of it, the portfolio has to find the remaining ₹20,000 first, every month, market or no market — that amount is not available to cut alongside a holiday budget just because both happen to come from the same account. The larger that uncovered gap, the smaller the portion of portfolio withdrawals that can actually be adjusted in response to markets. Spending flexibility applies only to the genuinely discretionary portion; the uncovered essential gap is non-discretionary and must be treated differently from it.

Keeping several years of spending outside equity — the bucket structure, for which the sequence-risk finding is the justification — means an early fall is met from the stable part rather than by selling equity at a loss.

A withdrawal that responds to the portfolio, rather than rising on autopilot, changes the mechanism that does the damage. Even a crude adjustment — skipping the annual increase after a bad year — interrupts the selling-into-a-decline pattern that a fixed real withdrawal cannot avoid, so flexibility of almost any kind sits in a safer position than the fixed-withdrawal assumption behind every published rate.

And a rate chosen once at retirement and never revisited is, in effect, a thirty-year forecast made on the information available on one day. Reviewed annually against the actual balance and the actual spending, it becomes a sequence of one-year decisions instead, each made with information the original choice did not have.

What to take away

The safe-withdrawal-rate method needs many long, distinct, inflation-adjusted periods. The Indian record we hold contains no complete thirty-year period at all, only about 2.2 years’ worth of start dates at twenty-five years, and nothing in real terms beyond ten. The calculation cannot be done here, and a figure offered as an Indian safe rate has come from somewhere other than Indian data.

What can be shown is that the risk rises steeply with the rate and that the order of returns decides the outcome — and that the demonstration's short run and flat nominal spending make it kinder than reality, while its shuffling changes the autocorrelation structure in a direction that is not established.

The method that replaces a single rate is a set of habits rather than a number: working from what the year actually costs instead of from a percentage; separating the uncovered essential gap (which cannot be reduced after a bad year) from genuinely discretionary spending (which can); flooring as much of the essential total as guaranteed income allows; keeping several years of spending out of equities; retaining the ability to reduce discretionary spending after a bad year; and checking the whole arrangement annually rather than setting it once. None of it produces a figure to quote, which is the honest cost of using an approach the Indian record can actually support.