Living Inflation Data Home › Consumer prices HBS AI Institute

Ethiopia, The Federal Democratic Republic of

Consumer prices · 13 categories · latest 2026-08-01

CoverageHeadline benchmark
Price-series levelsLevels 1–2
Weight levelsNo basket weights
Weight historyNo basket weights
Source detailCOICOP divisions
Series / concepts39 / 13
Period range2000-12-01 to 2026-08-01
Last successful ingest2026-10-07
Last changed vintage2026-10-07
International Monetary Fund Frequencies: M
—

Source: International Monetary Fund. Data as of 2026-10-07. Collected by Living Inflation Data, HBS Innovations in Economic Measurement (IEM) Lab www.iemlab.org.

Chart-sized CSV downloads are exact and metered. Ordinary use is anonymous; sustained bulk access may ask for a verified email.

Use this view with AI

Copy a precise prompt for the categories, measure and dates currently on screen. A connected AI retrieves the latest values through Living Inflation Data.


      

        
      

      
For direct access to current data, first
        connect Living Inflation Data via MCP.
        If MCP is unavailable on your plan, download the CSV and attach it to your chat.

    

  





  

    
Data quality

    Full quality register
  

  
1 recorded finding for this country, shown exactly as in the full quality register.

    
CountrySourcePeriodsStatusSeries
    FoundDetected by

    
Ethiopia, The Federal Democratic Republic ofIMF2001-01-01confirmedETH.CPI_CP11_*2026-09-02Possible index rebasing
The steepest in this class: Ethiopia's restaurants and hotels index goes 35.82 -> 13.34 in January 2001, -62.8%, and stays at 0.39x -- around 14 for the following year. December 2000 is the FIRST month of the series, so there is exactly one observation on the old footing and nothing to characterise it with. A single orphaned value ahead of a clean start is more consistent with a splice than with a 63% fall in restaurant prices, but with one point there is nothing to test. The step is permanent, confined to one division, and not a revision: these values were published this way. What the data CANNOT settle is whether the division was put on a new base by itself or its prices really fell, because both produce exactly this shape and nothing held here separates them -- the series is verified at 100 in the reference period the source declares, which is true either way. The country's headline index barely moves in the same month, which is suggestive and not conclusive: these are mostly light divisions, so a real fall would leave only a small mark on the aggregate. What IS certain is the consequence, because the source's own rates are this index restated -- the published month-over-month and year-over-year figures equal the index ratios at all 388,805 and 370,534 overlapping cells, checked 2026-09-02. So if the step is a re-reference, the source's own rates divide across it, and the reader has to be told.