TabSalary

8th CPC Scenario Calculator

Project revised pay under a chosen fitment factor. The Commission has not submitted recommendations, so every result below is an estimate.

Estimated output. No official fitment factor exists. In Parliament replies of August 2026 the Government said recommendations are still awaited.

Defaults to cell 1 of the selected level; edit freely.

Fitment Factor Scenario

On implementation existing DA merges into pay and resets to zero — leave at 0 for the standard case.

Projected Revised Pay

Projected New Basic (Estimated)

Deductions & tax — for projected in-hand
Estimated In-Hand after 8th CPC
Current basic pay (your input)
Fitment factor applied
Projected basic (rounded to ₹10)
Monthly increase in basic
DA merged into pay at switch
ProvenanceEstimated · Scenario only

When an actual notification arrives, the official matrix replaces this projection entirely. Verify entitlements with your DDO.

TabSalary calculator guide

How an 8th CPC projection works

Every Central Pay Commission translates old pay into new pay through a fitment factor: a multiplier applied to existing basic pay that also builds the new matrix starting cells. The 7th CPC used 2.57. Until the 8th Commission notifies its own factor and matrix, any projection is simply today's basic multiplied by an assumed factor.

Independently built and maintained · Published August 23, 2026 · Last reviewed August 26, 2026

The calculator deliberately keeps the model minimal: one multiplier, one rounding rule, and an optional assumption about how much DA merges into pay on implementation day. Extra complexity now would be fiction dressed as precision.

Named presets anchor the scenarios: a low case at 2.00, parity with the 7th CPC at 2.57, a high case at 3.00, and the BPMS stakeholder proposal of 4.00 submitted during the memorandum window.

How the calculation works

Projected basic = round to ₹10 (current basic × fitment factor); DA merged = current basic × assumed DA %

  1. Pick your current level; the tool fills that level first cell as a sensible default basic.
  2. Choose a preset or type a custom fitment factor between 1 and 6.
  3. Leave assumed DA at 0 percent for the standard merge-and-reset case, or raise it to test other assumptions.
  4. Compare presets side by side — the spread between them is the honest answer.

Worked example

A Level 10 employee at ₹56,100 using the parity factor 2.57 projects to about ₹1,44,180 — roughly ₹88,080 more per month in basic terms. At the BPMS proposal of 4.00 the same pay projects to ₹2,24,400. Both figures are estimates; neither is government policy.

What this estimate does not include

  • No official fitment factor, pay matrix or implementation date exists as of August 2026.
  • Allowance structures such as HRA slabs and TA bands will be re-notified separately after implementation; they are not projected here.
  • Pension commutation, gratuity ceilings and NPS impacts depend on rules not yet published.

Use the result as a planning estimate, not as personalized financial, tax, legal, or investment advice.

Source ledger

Primary references
  1. PIB — Cabinet approval constituting the 8th Central Pay Commission and its Terms of Reference.
  2. Department of Expenditure — orders page hosting DA and pay-revision notifications.
  3. 7th CPC context: Resolution dated 25.07.2016 adopting fitment factor 2.57.

Rates and rules are checked against the primary source before publication and re-checked whenever the source changes. External links open in a new tab; calculator inputs never leave your browser.

Fitment-factor scenario presets used by this tool
ScenarioFactorLevel 10 cell 1 projects toStatus
Low scenario2.00₹1,12,200Estimated
Parity with 7th CPC2.57₹1,44,180Estimated
High scenario3.00₹1,68,300Estimated
Stakeholder proposal (BPMS)4.00₹2,24,400Demand submitted to Commission

For scale: the 7th CPC applied 2.57 to 6th CPC pay with effect from 1 January 2016. No 8th CPC factor has been notified; these presets exist only to structure the estimate.

Help & answers

8th CPC scenario FAQ

What is known, what is assumed, and how to read the projections.

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