Food Price Crowdsourcing Africa

Collection: DATAM : Data/Modelling platform of resource economics 


“Food Price Crowdsourcing Africa” (FPCA) is a research project led by the European Commission - Directorate Joint Research Centre (JRC), and implemented in collaboration with the International Institute of Tropical Agriculture (IITA), Nigeria and Wageningen University and Research (WUR), The Netherlands, to understand food price changes along the food chain while strengthening agricultural & market information systems through mobile phone technology and citizens' participation. This project is a component of a broader initiative themed "Support to the AgRi-Economic analysis & modelling of agriculture & development policies impact for Africa (AREA)", which is led and funded by the JRC and implemented in collaboration with WUR.

As society and economy rapidly transforms by the expansion of digital technologies, new data sources represent a unique opportunity to produce new and complementary statistics within collective collaborative frameworks. The goal of this project (~10 months) was to explore the potentiality of a “spontaneous crowdsourcing” (i.e. “Citizen Science”) approach by leveraging citizen involvement, smart phone technology and an adequate quality framework to produce reliable food price data with very high spatial details and temporal frequency, with the purpose to provide to consumers and farmers accurate and timely information on agricultural commodity markets, allowing them to make informed decisions about consumption and production and leading to a more efficient function of markets. Agricultural markets transparency is particularly relevant in many African countries where agriculture is still the main source of income for a big share of population as well as expenditure on food represents an important share of the total household income. At the same time market transparency can help to understand market dynamics and so to shape national and regional decisions and policies regarding food security and markets.

The dataset is continuously updated for the whole the duration of the project. The dataset is accompanied by an interactive dashboard updated twice a day that allows users to perform a wide exploration of the data. A set of graphs and charts are displayed according to states and regions, weeks, and products selected by the user.

This is considered a beta version: user feedback is welcome to further improve the dashboard.


gloria.solano-hermosilla (at)


How to cite

Solano Hermosilla, Gloria; Adewopo, Julius; Gorrín González, Celso Jesús; Micale, Fabio; Ceccarelli, Tomaso; Arbia, Giuseppe; Nardelli, Vincenzo (2019): Food Price Crowdsourcing Africa. European Commission, Joint Research Centre (JRC) [Dataset] PID:


crowdsourcing naira PANAP nigeria price prices

Data access

Food Price Crowdsourcing Africa (FPCA) project – leveraging smartphone tech and citizen science for up-to-date data
  • Interactive infographics

Food Price Crowdsourcing in Africa (FPCA)
  • Project website explaining the methodology and how to contribute as a price observer.


A quality approach to real-time smartphone and citizen-driven food market price data
Solano Hermosilla, G., Adewopo, J., Peter, H., Barreiro Hurle, J., Arbia, G., Nardelli, V., Gorrin Gonzalez, C., Micale, F. and Ceccarelli, T., A quality approach to real-time smartphone and citizen-driven food market price data, EUR 30027 EN, Publications Office of the European Union, Luxembourg, 2020, ISBN 978-92-76-14305-5 (online),978-92-76-20599-9 (print), doi:10.2760/366116 (online),10.2760/120193 (print), JRC119273.
Crowdsourced data reveals threats to household food security in near real-time during COVID-19 pandemic
Increasing engagement in price crowdsourcing initiatives: Using nudges in Nigeria
Using crowd-sourced data for real-time monitoring of food prices during the COVID-19 pandemic: Insights from a pilot project in northern Nigeria

Geographic areas


Temporal coverage

From date To date
2018-01-01 N/A

Additional information

Published by
European Commission, Joint Research Centre
Created date
Modified date
Issued date
Landing page 
Data theme(s)
Agriculture, fisheries, forestry and food, Economy and finance
Update frequency
continuously updated