Clarity for the years ahead

Retirement planning guides

Start with the question you want to answer. Understand the assumptions before turning an estimate into a plan.

Tool

Retirement calculator for India

Estimate your retirement corpus and constant monthly savings in INR. Explore inflation, taxes and transparent assumptions without saving personal data.

Tool

FIRE calculator for India

Explore early retirement with a longer spending horizon. Calculate a deterministic corpus estimate, not a guaranteed safe withdrawal rate.

Guide

How much do I need to retire in India?

Start with household expenses, inflation and years in retirement. Follow a worked INR example using Dhanwise’s transparent calculation model.

Guide

NPS vs PPF for retirement: what to compare

Compare the role of NPS and PPF in a retirement plan, including uncertainty and access restrictions. No promised returns or universal tax assumptions.

Guide

Retire at 50 in India: compare the assumptions

Compare retirement at 50 and 60 using explicit spending, savings, inflation and return assumptions. Model-generated examples, not retirement promises.

Guide

How inflation changes your retirement corpus

Compare 4%, 6% and 8% illustrative inflation assumptions with the same savings and returns. See future spending, corpus and monthly saving estimates.

Reference

How Dhanwise calculates retirement

Understand the retirement corpus formula, cash-flow timing, nominal and real returns, tax assumptions and limitations of the Dhanwise model.

Reference

Retirement calculation API documentation

Inspect the versioned retirement calculation API: required numeric inputs, validation, formulas, response fields, examples and privacy limitations.

Reference

Sources and financial references

Official RBI, NPS Trust and India Post references, separated from Dhanwise’s illustrative inflation and investment-return assumptions.

Reference

About Dhanwise

A local-first retirement planning tool for Indian households. Learn what Dhanwise does, what it does not do, and how its estimates should be used.

Reference

Privacy and local data

Understand browser-local plans, unsaved public calculations, backups, share links and the limits of local-first privacy in Dhanwise.

Reference

Editorial policy and limitations

How Dhanwise separates model assumptions from source-backed facts, labels financial examples and handles corrections and content review.