Same dollars. Different world.

Your money.
Less muscle.

The number on the bill hasn’t changed. What it buys has. See what inflation did to your dollars.

Find your money’s worth

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The shrinking $100

CPI-U / 2000–2026

$100 in 2026 buys what

$51.71

could buy in 2000.

48%less buying
power

Source: U.S. Bureau of Labor Statistics · CPI-U April CPI is used for 2026 until the annual average is published.

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Inflation calculator

CPI-U
Then · 2018 $1.34
becomes
Now · 2026 $1.78
Prices rose 32.6% over that span.

April CPI is used for 2026 until the annual average is published.

Permalink to this calculation

A little perspective CPI-U / 2026

Thirty-year check

$100.00 in 1996 equals $212.25 in 2026

A 1913 dollar

$1.00 in 1913 equals $33.64 in 2026

Postwar prices

$20.00 in 1950 equals $276.37 in 2026

Seventies money

$50.00 in 1976 equals $292.64 in 2026

Great recession

$500.00 in 2008 equals $773.38 in 2026

Pre-pandemic

$100.00 in 2019 equals $130.26 in 2026

How the Fiat Watch inflation calculator works

Inflation erodes the value of money over time. A dollar in 1913 bought a lot more bread, gasoline, and rent than a dollar today. To compare prices across years fairly, we use the Consumer Price Index — a basket of goods the U.S. Bureau of Labor Statistics has been tracking since 1913.

The math is simple: converted = amount × (CPItarget ÷ CPIstart). We use the annual averages of the CPI-U (All Urban Consumers, series CUUR0000SA0) so the result reflects a typical year, not a single noisy month.

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For common budget questions, use a focused calculator with examples for that cost category.

Historical prices

Browse BLS average prices by item, then open year-specific pages for inflation-adjusted comparisons.

Explore all 79 historical price guides

Frequently asked questions

What years are supported?
Annual averages from 1913 through 2026. April CPI is used for 2026 until the annual average is published.
Why do my answers differ slightly from other calculators?
Most calculators use annual averages, but a few use specific months (often December or January). We use annual averages — the same approach the BLS recommends for long-horizon comparisons.
Where does the data come from?
Directly from the U.S. Bureau of Labor Statistics. The dataset bundled with this site is refreshable via a single Rake task that hits the public BLS API.