Skip to main content
Analysis & Generators

Inflation Data Coverage Checker

Flag unavailable periods and incompatible series.

Inflation Data Coverage Checker: Scenario Inputs

Live Model
$
%

Annual percentage rate or benchmark index change.

3y
%
Computed Results

Inflation & Purchasing Power Analysis

Real Adjusted Value
$67,645
Effective base purchasing power
Purchasing Power Loss
-$7,355
-9.81% cumulative loss
Target Inflation Break-Even
$83,154
Salary needed to keep pace
Net Real Wage Growth
-1.45%/yr
Nominal raise vs price index

Over 3 years at 3.5% inflation, a $75,000 salary requires $83,154 to retain equal purchasing power. Without matching raises, your real compensation experiences an effective reduction of $7,355 (-9.81%).

Need complete multi-year compound modeling?

Run detailed comparisons, custom CPI series, and visual breakdown charts.

Main Calculator

How Inflation Data Coverage Checker Works?

The Inflation Data Coverage Checker tests the dates and index series you request. It compares them with a catalog of publication rules to find gaps.

  1. Enter dates and series

    List the periods and indexes your calculation needs.

  2. Check start dates

    The checker flags dates before a series begins.

  3. Check frequency

    The checker flags months a series does not publish, such as odd months for bimonthly metro data.

  4. Check compatibility

    The checker warns when 2 values come from series with different bases or methods.

Inflation Data Coverage Checker Formula

The Inflation Data Coverage Checker applies 3 logical tests to each requested value.

Start test

Valid if Date ≥ Series Start

Frequency test

Valid if Month ∈ Published Months

Compatibility test

Valid if BaseA = BaseB and SeriesA = SeriesB

Variables

Series Start
First published period of the series
Published Months
Months the series publishes values

Worked example

A request for chained CPI in June 1995 fails the start test, since C-CPI-U begins in December 1999. The checker flags the date and suggests CPI-U as the nearest available series.

Inflation Data Coverage Checker Conversion Table

This table lists coverage rules for 6 common series.

SeriesFrequencyData beginsCoverage note
CPI-U (U.S. city average)MonthlyJanuary 1913Yes
CPI-W (U.S. city average)MonthlyJanuary 1913Yes
Chained CPI (C-CPI-U)MonthlyDecember 1999Preliminary for recent months
PCE price indexMonthlyJanuary 1959Revised with GDP updates
Mid-size metro CPIEvery 2 monthsVaries by areaOdd or even months only
Employment Cost Index (ECI)Quarterly1975 (wages and salaries)March, June, September and December only

Sources: U.S. Bureau of Labor Statistics and U.S. Bureau of Economic Analysis publication schedules.

What is Inflation Data Coverage Checker?

The Inflation Data Coverage Checker is a tool that flags periods where an index has no published value and pairs of series that should not be mixed. The checker runs before a calculation, so errors are caught early.

The checker covers 3 problems: dates before a series starts, months a series skips, and comparisons between series with different bases.

What are the uses of Inflation Data Coverage Checker?

There are 4 main uses of the Inflation Data Coverage Checker.

  • Prevent bad results

    Stop calculations that use missing or mismatched data.

  • Plan research

    See which series cover the years a study needs.

  • Check contracts

    Confirm the index named in a contract publishes the months it needs.

  • Explain gaps

    Tell users why a month or region has no value.