What is a FIRE calculator and how does it work?

A FIRE (Financial Independence, Retire Early) calculator models how much capital you need to accumulate to sustain your living expenses without relying on active employment. Unlike basic savings tools, Sanchita models both the pre-retirement wealth accumulation phase and post-retirement monthly drawdown.

What is a Step-Up SIP and why is it important for retirement planning?

A Step-Up SIP (Systematic Investment Plan) increases your monthly investment annually by a fixed percentage (e.g. 5% to 10%) to mirror salary raises and career progression. Modeling step-up contributions drastically accelerates compound wealth creation compared to static monthly investments.

How does inflation affect my retirement corpus and expenses?

Inflation erodes purchasing power over time. A monthly expense of ₹50,000 today becomes approximately ₹1,60,000 in 20 years at a 6% annual inflation rate. Sanchita compounds your current living expenses annually up to your retirement age, ensuring your retirement target reflects real future living costs.

What is a safe retirement withdrawal rate?

A safe withdrawal rate is the percentage of your total corpus withdrawn in your first retirement year to cover annual living costs. The conventional Trinity Study rule suggests 3% to 4%. In higher-inflation developing economies like India, a conservative 2.5% to 3.5% initial withdrawal rate is often safer.

Can I use this FIRE calculator for India (INR) and Global currencies (USD)?

Yes. You can switch between Indian Rupee (INR) with Lakhs (L) and Crores (Cr) numbering, and Global USD format with Millions (M) and Billions (B). All compounding math, step-up schedules, and inflation drawdowns adapt instantly.

Does this calculator store or transmit my financial numbers?

No. The entire simulation runs 100% client-side in your browser using pure JavaScript/Web APIs. No inputs, net worth figures, or retirement calculations are ever sent to a remote server.

What is a financial memoir and how is it different from an expense tracker?

Conventional expense trackers focus on double-entry accounting, rigid category budgeting, and clinical ledger rows. Sanchita is a reflective financial memoir that treats money as life context—preserving the human memories, relationships, and seasons behind why you spent rather than merely what you spent.

When will Sanchita be available on mobile (Android and iOS)?

Sanchita is currently in active mobile development. You can choose your preferred platform (Android, iOS, or Both) by joining the Early Access list above to receive direct access as builds are prepared.

PORTFOLIO LONGEVITY

Safe Withdrawal Rates in India: Trinity Study vs. Developing Market Realities

Published: August 2026 • Verified Reference

The popular 4% Safe Withdrawal Rate (SWR) originates from the seminal 1998 US Trinity Study (Cooley, Hubbard & Walz) and William Bengen's 1994 foundation, which evaluated 30-year retirement horizons in low-inflation US equity and bond markets (historical inflation ~2.5% to 3.5%).

1. The Developing Market Inflation Trap

In India, structural CPI inflation published by the Ministry of Statistics and Programme Implementation (MoSPI) and the Reserve Bank of India (RBI) averages 6% to 7%, with urban healthcare and lifestyle inflation frequently exceeding 8% to 10%.

• At 2.5% US inflation, annual expenses double every 29 years.

• At 6.0% Indian inflation, annual expenses double every 12 years (and quadruple in 24 years).

• At 8.0% medical inflation, costs double every 9 years.

2. Recommended Indian SWR Thresholds

Retirement Horizon	Safe Withdrawal Rate (SWR)	Corpus Multiplier
Traditional (60+ yrs / 25-yr horizon)	3.50% – 4.00%	25× – 28×
Early FIRE (45–55 yrs / 35-yr horizon)	3.00% – 3.25%	30× – 33×
Ultra-Early FIRE (30–40 yrs / 50-yr horizon)	2.50% – 2.85%	35× – 40×

Primary Sources & References

The Trinity Study: Cooley, P. L., Hubbard, C. M., & Walz, D. T. (1998). Retirement Savings: Choosing a Withdrawal Rate That Is Sustainable. AAII Journal, 20(2), 16–21.
Foundational SWR Research: Bengen, W. P. (1994). Determining Withdrawal Rates Using Historical Data. Journal of Financial Planning, 7(4), 171–180.
Indian Urban Inflation: Ministry of Statistics & Programme Implementation (MoSPI) — Consumer Price Index (Urban).
Fixed Income Yield Benchmarks: Clearing Corporation of India (CCIL) — 10-Year Indian Government Securities (G-Sec) Yield Curve.

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