Excel Function for Interpolation

There are two ways to “excel function for interpolation”: the quick way you copy and the durable way you understand. This page gives you both. The exact Excel answer is above; below, we build the small mental model that makes the fix stick, so the next variation of the same problem solves itself.

Exact answer

In Excel: give FORECAST.LINEAR only the two bracketing points — =FORECAST.LINEAR(x,{y1;y2},{x1;x2}) — and it returns the straight-line value between them.

On this page7
Annotated stepsExcel
1

Sort the table by the x column ascending; everything below depends on that order.

2

Locate the row below the target with =MATCH(E2,$A$2:$A$13,1), which returns the position of the largest x not greater than the target.

3

Use INDEX with that position and the one after it to build the two-point ranges for FORECAST.LINEAR.

4

Or compute it arithmetically: y1 + (x - x1) * (y2 - y1) / (x2 - x1), which makes each term visible on the sheet.

5

Guard the edges with IF so a target outside the table returns a message rather than a silent extrapolation.

=FORECAST.LINEAR(E2,B2:B3,A2:A3)
Ctrl+CthenCtrl+Shift+V+Cthen+Ctrl+VPaste values · WindowsMac

Need it as an auditable file?

Ships inside the linked template — formula-driven, unlocked, audit-ready.

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What this does

Interpolation estimates a value at an input that lies between two measurements, on the assumption that the relationship is straight between them. Passing FORECAST.LINEAR the whole table instead of the bracketing pair does something quite different: it fits a least-squares line through every point and returns a value from that fit, which is a regression estimate rather than an interpolation. Keep the inputs visible and clearly labelled and the whole thing stays auditable — anyone who opens the file later, including you, can see at a glance exactly what feeds the result and change one assumption without hunting through the formula. For “excel function for interpolation”, the reliable version is a short checking loop, not just the first command that appears to work. Run it on a deliberately small range first, watch how the affected formula change, and only then apply the same setup to the full sheet. When a formula is involved, keep the inputs labelled beside it, reference cells instead of typing values, and apply number formatting only after the result checks out. That is what makes a calculation you can defend to a CFO or an auditor useful in real work: repeatable, auditable, and not dependent on memory or luck.

A worked example

Viscosity is 4.2 at 20 °C and 3.1 at 30 °C. At 24 °C the interpolated value is 4.2 + (24-20) × (3.1-4.2) / (30-20) = 3.76, and =FORECAST.LINEAR(24,{4.2;3.1},{20;30}) returns the same 3.76. Handing the function all twelve rows of the table would return 3.68 — a different number answering a different question. Rate tables, calibration curves and price breaks are all published at intervals, and reading the nearest row instead of interpolating is a rounding error nobody documents. A practical tip before you scale it up: build it once on a small block of test data, confirm the number against the tool on this page, and only then point it at your real sheet. That one habit catches almost every mistake while it is still cheap to fix, long before a wrong figure reaches a report or a colleague.

In Google Sheets

Everything above works in Google Sheets too. Excel and Sheets share the formula syntax used here; only the surrounding menus are arranged differently. That portability is deliberate — learn it once and it follows you between the two tools and across Windows and Mac. The aim was to get you unstuck fast and leave you a little more capable than a copy-paste would. The answer is at the top and the detail above shows why it holds — so the next time a colleague asks, you can answer without reaching for search. Here is the takeaway for “excel function for interpolation”: copy the answer if you are busy, but if you have a spare few minutes, rebuild the example in Excel yourself with the tool above open beside it. That single pass — type it, run it, watch the result move when you change an input — is what turns a formula you found into a technique you trust. Keep your inputs labelled and referenced, never hard-coded, and the same sheet stays correct and auditable as it grows. Done that way, you will not need to look this up again, and you will be the person others ask.

Common mistakes

  • Passing the entire dataset to FORECAST.LINEAR and calling the result an interpolation.
  • Leaving the x column unsorted, which makes MATCH with match type 1 return the wrong bracketing row without any error.
  • Extrapolating past the ends of the table, where a straight-line assumption has nothing supporting it.
  • Interpolating a curved relationship over a wide gap — fit a curve, or interpolate between closer points.

Frequently asked questions

Is FORECAST.LINEAR the same as TREND?

For a single new x they return the same value. TREND accepts an array of new x values and returns an array of results.

How do I find the two rows to interpolate between?

MATCH with match type 1 on a sorted x column gives the row below; the row after it is the upper bracket.

What about non-linear data?

Add a trendline, tick Display Equation on chart, and evaluate that equation — or interpolate between points close enough together for a line to be reasonable.

Can I interpolate a date?

Yes. Dates are numbers, so a date x column works directly, as long as the cells are real dates rather than text.