The mortgage rate went from 6% to 7%. Is that a 1% increase or a 17% increase? Both answers are correct — they just measure different things. The first is a percentage point change; the second is a percent change. Confusing these two is one of the most common ways news stories mislead readers, and understanding the difference sharpens how you read rates, yields, survey results, and political polling.
Definitions
Percentage point is the arithmetic difference between two percentages. Going from 5% to 7% is a 2 percentage point increase. It is a subtraction: 7 − 5 = 2. Percentage points live on the same scale as the rates themselves.
Percent change is the relative change from the original. Going from 5% to 7% is a (7 − 5) ÷ 5 × 100 = 40% increase. Percent change scales the difference by the starting value.
The two numbers describe the same event. Saying “the rate rose 2 percentage points” and “the rate rose 40 percent” are both true of a move from 5% to 7%. Saying “the rate rose 2 percent” is ambiguous at best and misleading at worst.
Why the confusion is intentional (sometimes)
Headlines, marketing, and political commentary routinely choose whichever framing sounds more dramatic:
- “Unemployment rose from 4% to 5%” → 1 percentage point (sounds small) or 25% increase (sounds alarming). Either is true.
- “Tax rate cut from 35% to 21%” (US corporate tax, 2018) → 14 percentage points (sounds large) or 40% relative cut (sounds huge). Either is true.
- “Approval rating rose from 40% to 42%” → 2 percentage points (modest) or 5% increase (also modest but rhetorically different).
Writers choose the framing that supports their angle. As a reader, always ask: “Which measure is this?” When a source is vague (“rates rose by 10%”), try to find the actual before-and-after numbers. The answer is usually obvious once you have them.
Interest rates: where this matters most
When the Federal Reserve raises rates by “a quarter point” (0.25 percentage points), that is a meaningful event for markets and borrowers. The terminology is standard in finance: “basis points” (1 bp = 0.01 percentage points) are the standard unit for small rate changes.
- 25 basis points = 0.25 percentage points
- 50 basis points = 0.5 percentage points
- 100 basis points = 1 percentage point = 1%
Mortgage going from 6% to 6.25% is a 25 bp increase. A decade ago, the same mortgage at 3.5% would have been quoted the same way. Notice that “the rate rose 0.25%” is ambiguous — it could mean 25 bp (absolute) or 0.25% relative (which would be negligible, about 0.015 percentage points).
A famous example: the 2009 unemployment debate
During the 2009 recession, US unemployment rose from about 5% to about 10% over 18 months. Headlines wrote this in multiple ways:
- “Unemployment rose 5 percentage points” — technically correct.
- “Unemployment doubled” — also correct.
- “Unemployment rose 100 percent” — also correct (the same thing as doubling).
- “Unemployment rose 5%” — ambiguous, and sometimes read as the smaller interpretation by people who did not do the math.
Economists and statisticians consistently use “percentage points” for absolute change and reserve “percent” for relative change. Journalists do not always.
Election polling: another live example
A candidate goes from 40% to 44% in the polls. Is that a 4 percentage point gain or a 10 percent gain? Both descriptions appear, sometimes in the same news cycle.
For polls, the percentage point framing is usually more useful because the margin of error is quoted in percentage points (“±3 percentage points”). A 4-point gain with a 3-point margin of error is statistically meaningful. Framing the same move as “10 percent” removes the ability to compare against the margin.
When percent change is more useful
Percent change is more meaningful when:
- The percentages themselves are small and the relative change is large — e.g., infection rates rising from 0.1% to 0.5% is a 0.4 percentage point increase but a 400% relative rise. The relative framing captures the alarm better.
- You are comparing changes across different baselines — e.g., “population A went from 10% to 12%, population B went from 40% to 44%” are both 2 percentage points but different percent changes (20% and 10%).
- Tracking small changes in very low baseline rates (emerging risks, rare events).
When percentage points are more useful
- Interest rates, bond yields, loan terms (basis points rule here)
- Political polling with margins of error
- Tax rate comparisons across jurisdictions
- Market share comparisons
- Unemployment, inflation, GDP changes — standard macro statistics
Reading news with this lens
When you see “X rose by Y%”:
- Is X itself a percentage (rate, share, yield)?
- If yes, is “Y%” meant as an absolute or relative change?
- When in doubt, find the before and after values and calculate both interpretations. The correct framing is usually clear from context once you have the raw numbers.
A quick table of examples
| From | To | Percentage points | Percent change |
|---|---|---|---|
| 5% | 7% | +2 | +40% |
| 50% | 52% | +2 | +4% |
| 2% | 3% | +1 | +50% |
| 40% | 60% | +20 | +50% |
| 80% | 90% | +10 | +12.5% |
Note the second row: 50% to 52% is a 2 percentage point increase (same absolute amount as 5% to 7%) but only a 4% relative change — much smaller proportionally. Context matters.
The communication rule
If you are writing or communicating about a change in percentages:
- Use “percentage points” for the arithmetic difference. This is unambiguous and widely understood.
- Use “percent change” or “relative change” for the proportional move, and specify it as such.
- Avoid bare “percent” when the underlying quantity is already a percentage — it is ambiguous.
- For small rate changes, use basis points (bp).
Do the math
Our percentage calculator handles both views: it tells you the absolute (percentage point) change and the percent change between two numbers, plus percent-of calculations. Use it when parsing news numbers or presenting data. Knowing which measure you are looking at is the difference between understanding a story and misreading it — and misreadings of percent vs percentage point are responsible for a surprising amount of bad decision-making, bad betting, and bad journalism.