Food price inflation, weighted average — Value in Africa

Africa: Food price inflation, weighted average — Value was 8.47 % in 2026. ▲ Rising

Latest (2026)
8.47 %
Change on year
up 21.2%
Rank
7th
of 31 groups
All-time high
24.67 %
in 2023
All-time low
6.55 %
in 2014
Years of data
26
2001–2026

Food price inflation, weighted average — Value in Africa, 2001–2026

5101520252001201320262001: 16.9 %2002: 12.8 %2003: 11.1 %2004: 8.8 %2005: 8.7 %2006: 8.7 %2007: 9.6 %2008: 17.5 %2009: 11 %2010: 8.8 %2011: 12 %2012: 7.6 %2013: 7.6 %2014: 6.5 %2015: 9.5 %2016: 15 %2017: 13.1 %2018: 7.1 %2019: 7.4 %2020: 9.6 %2021: 12 %2022: 21.4 %2023: 24.7 %2024: 17.6 %2025: 7 %2026: 8.5 %

Source: Food and Agriculture Organization of the United Nations. Measured in %.

Analysis

In 2026, food price inflation, weighted average — value in Africa stood at 8.47 %.

Compared with earlier readings it is up 21.2% on the previous year and down 43.5% over ten years.

Over the whole period, food price inflation, weighted average — value in Africa peaked at 24.67 % in 2023 and was at its lowest, 6.55 %, in 2014.

Africa ranks 7th of 31 groups on this measure, in the top quarter.

The long-run direction has been consistently rising across the 26 years of available data.

Food price inflation, weighted average — Value in Africa, year by year

Annual values for Food price inflation, weighted average — Value in Africa, 2001 to 2026.
Year % Change
2001 16.9 %
2002 12.79 % -24.3%
2003 11.14 % -12.9%
2004 8.82 % -20.8%
2005 8.72 % -1.2%
2006 8.7 % -0.2%
2007 9.6 % +10.3%
2008 17.55 % +82.8%
2009 11.05 % -37.0%
2010 8.8 % -20.3%
2011 12.03 % +36.7%
2012 7.58 % -37.0%
2013 7.59 % +0.1%
2014 6.55 % -13.7%
2015 9.46 % +44.5%
2016 14.98 % +58.4%
2017 13.11 % -12.5%
2018 7.08 % -46.0%
2019 7.39 % +4.4%
2020 9.6 % +29.9%
2021 12.01 % +25.1%
2022 21.42 % +78.3%
2023 24.67 % +15.2%
2024 17.6 % -28.7%
2025 6.99 % -60.3%
2026 8.47 % +21.2%

Averages by decade

DecadeAverage LowestHighest Years
2000s 11.7 % 8.7 % 17.55 % 9
2010s 9.46 % 6.55 % 14.98 % 10
2020s 14.39 % 6.99 % 24.67 % 7

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Frequently asked questions

What is food price inflation, weighted average — value in Africa?
Food price inflation, weighted average — value in Africa was 8.47 % in 2026, according to Food and Agriculture Organization of the United Nations.
What is the highest food price inflation, weighted average — value recorded in Africa?
The highest recorded value was 24.67 % in 2023.
What is the lowest food price inflation, weighted average — value recorded in Africa?
The lowest recorded value was 6.55 % in 2014.
How does Africa rank for food price inflation, weighted average — value?
Africa ranks 7th out of 31 groups with data for 2026.
Is food price inflation, weighted average — value rising or falling in Africa?
Over the last ten years it is down 43.5%. The long-run trend across the full record is rising.
Where does this Africa data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Food price inflation, weighted average — Value. Statizoid updates them automatically from the source API.

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Food price inflation, weighted average — Value in Africa. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 24 August 2026, from https://agriculture.statizoid.com/stat/food-price-inflation-weighted-average-value/africa/

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About this data

Indicator
Food price inflation, weighted average — Value
Unit
%
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
39 places, 1,014 data points, 2001–2026
Last refreshed

The FAOSTAT monthly Food CPI and General CPI database was based on the ILO CPI data until December 2014. In 2014, IMF-ILO-FAO agreed to transfer global CPI data compilation from ILO to IMF. Upon agreement, CPIs for all items and its subcomponents originates from the International Monetary Fund (IMF), and the UN Statistics Division (UNSD) for countries not covered by the IMF. However, due to a limited time coverage from IMF and UNSD for a number of countries, the Organisation for Economic Co-operation and Development (OECD), Central Bank of Western African States (BCEAO), Eastern Caribbean Central Bank (ECCB), UNdata, United Nations Conference on Trade and Development (UNCTAD) and the national statistics offices websites databases are used for filling the missing data of Food and General CPI. The FAO CPI dataset for all items (or General CPI) and the Food CPI, consists of a complete and consistent set of time series from January 2000 onwards. Data gaps on monthly Food CPI and General CPI are filled using statistical estimation procedures to have full data coverage for all countries for Food CPI and for General CPI. These indices measure the price change between the current and reference periods of the average basket of goods and services purchased by households. The General CPI is typically used to measure and monitor inflation, set monetary policy targets, index social benefits such as pensions and unemployment benefits, and to escalate thresholds and credits in the income tax systems and wages in public and private wage contracts. The FAOSTAT monthly Food CPI inflation rates are annual year-over-year inflation or percentage change over corresponding month of the previous year. The regional and subregional Food and General CPI, and the aggregated Food and General CPI at the different income levels (High-income economies, Low-income economies, Lower-middle-income economies and Upper-middle-income economies) are calculated using two different statistical methods: 1- A weighted average of Food and General CPI values of countries and territories within each region using the weights of Household final consumption expenditure (including non-profit institutions serving households) in 2015 in USD at constant prices of 2015. Household final consumption expenditure is available at https://unstats.un.org/unsd/snaama 2- Median of Food and General CPI values of countries and territories within each region. The Food CPI inflation rates for regional, subregional, and income groups are calculated by first computing, at the country level, the monthly percentage change between two consecutive years. These country-level inflation rates are then aggregated to the group level using two alternative methods: the median and the weighted average, whose weights are based on household final consumption expenditure at 2015 constant prices.