What is NPS
The National Pension System is a government-regulated, market-linked retirement scheme. You choose how your contributions split across equity, corporate debt and government bonds (or let a default lifecycle fund shift that mix automatically as you age), and the corpus grows at whatever those underlying investments actually return — not a fixed, promised rate.
At retirement, current rules require using at least 40% of the accumulated corpus to buy an annuity (a plan that pays you a regular pension), while the rest can be withdrawn as a lump sum — the exact thresholds are set by the regulator and worth confirming at the time, since retirement rules do get revised.
How this is calculated
Same structure as a SIP calculator — NPS contributions are typically monthly, and the corpus compounds on whatever return you assume:
FV = P × [((1 + i)n − 1) ÷ i] × (1 + i)
The rate is genuinely uncertain here — NPS returns depend on your fund choice and market performance over decades, so treat the output as one scenario among many, not a forecast.
Frequently asked questions
Is the NPS return fixed?
No — it's market-linked and depends on your chosen asset allocation and how those markets perform over your contribution period. The rate in this calculator is an assumption for planning, the same way a SIP calculator's is.
Can I withdraw my entire NPS corpus at retirement?
Not entirely — current rules require putting at least a portion (commonly cited as 40%) into an annuity that pays you a pension, with the remainder available as a lump sum. The exact split and any exemptions are set by the regulator, so check the current rules closer to your retirement date.
Retirement, alongside everything else
Ekatra tracks your NPS and every other investment together, so your retirement corpus isn't a number you have to look up separately from the rest of your money. How that works →
See this next to everything else you own
Every account, card, loan and investment on one screen — updated automatically, not recalculated by hand.
Explore with sample data →