$1 in 2020 is equivalent in purchasing power to about $1.98 in 2055, an increase of $0.98 over 35 years.
The dollar had an average inflation rate of 1.97% per year between 2020 and 2055, producing a cumulative price increase of 98.17%.
The buying power of $1 in 2020 is predicted to be equivalent to $1.98 in 2055.

This calculation is based on future inflation assumption of 2.00% per year. Use the calculator on the left to change this prediction. Or, use the annual inflation rate calculator to view inflation in the past.

This chart shows a calculation of buying power equivalence for $1 in 2020 (price index tracking began in 1635).

For example, if you started with $1, you would need to end with $1.98 in order to "adjust" for inflation (sometimes refered to as "beating inflation").

When $1 is equivalent to $1.98 over time, that means that the "real value" of a single U.S. dollar decreases over time. In other words, a dollar will pay for fewer items at the store.

This effect explains how inflation erodes the value of a dollar over time. By calculating the value in 2020 dollars, the chart below shows how $1 is worth less over 35 years.

Raw data for these calculations comes from
the Bureau of Labor Statistics'
Consumer Price Index
(CPI), established in 1913. Inflation data from 1665 to
1912 is sourced from a historical study conducted by political science
professor Robert Sahr at Oregon State University.

You may use the following MLA citation for this page:
“2055 Inflation Prediction | Future Inflation Calculator.” Official Inflation Data, Alioth Finance, 7 Mar. 2021, https://www.officialdata.org/us/inflation/2020?endYear=2055&amount=1&future_pct=0.02.

Special thanks to QuickChart for their chart image API, which is used for chart downloads.

Ian Webster is an engineer and data expert based in San Mateo, California. He has worked for Google, NASA, and consulted for governments around the world on data pipelines and data analysis. Disappointed by the lack of clear resources on the impacts of inflation on economic indicators, Ian believes this website serves as a valuable public tool. Ian earned his degree in Computer Science from Dartmouth College.