Last update: August 15, 2024

This page contains information about some of the data available in the FEWS NET Data Explorer (FDE) for Burkina Faso. This is not a comprehensive guide.

For information about using the filters and fields for specific domains in the FDE, see Choose a Data Domain.

Summary table

Country

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food security context

Statistical reporting units

Burkina Faso usually uses administrative units as their statistical reporting units.

Admin 1: Regions.

Admin 2: Provinces.

Admin 3: Communes.

Since a major change in government in 1984, there have been three significant changes in Burkina’s administrative units:

• 1984 - 1996: There were 30 provinces (Admin 1 level).

• 1997: 15 existing provinces split to form an additional 15 provinces, for a total of 45.

• 2001: A new Admin 1 level administrative entity called a “Region” Region was formed, with each of the 45 provinces being demoted to Admin 2 status and placed under the authority of one of the 13 Regions.

Since 2001, there have been only small local issue-related changes in the boundaries of a few of the 45 provinces. In 2020, FEWS NET added Admin 3 boundaries (communes), though they were present in the country before then.

Crop data

Explore our crop data.

View our documentation on using the Crop Domain.

Crop estimate data sources

A key source of Burkina Faso crop data is the Conseil national de la statistique (CNS), source of most of the crop data found in the FEWS NET Data

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Warehouse. See also the l’Institut national de la statistique et de la démographie (INSD) website for other agricultural data and information. Regional statistical yearbooks available from the CNS provide additional important crop information and data at regional and provincial levels.

Crop reporting units

The boundaries used for crop reporting nominally align with the Admin 2 level provinces.

1984-1996 crop data are reported using the 1997 Province boundaries in order to be consistent with a retroactive recompilation by the Government. This allows all crop data between 1984 and the present to be comparable with any other year in terms of yields and quantity of production.

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• Plaine/Bas-fond irrigated (PS): In Burkina Faso there has been extensive development of “plaines” (irrigated fields with bunding) and “bas-fonds amenagés” (irrigated bas-fonds, or low-lying areas that may fill during the rains, and which are irrigated using that rainwater, or other drawn from a near-by source, and not necessarily just rain-fed).  Cooperative  Cooperative groupings manage some of these areas, and others may be small-scale commercial in nature. Some of these may be growing vegetables and other crops outside of the rainy season, although not reported as such.

• Bas-fonds rainfed (PS): Another more common bas-fonds farming system is only fed by rainfall and is not irrigated or managed (amenagé) in the same way. 

• Rainfed (PS): This category covers everything else grown in fields, often dispersed and planted with multiple crops, during the rainy season without irrigation and with few resources.

Methodology

Superficie de la parcelle : C’est la superficie physique des parcelles occupée par les cultures sans distinction de densité de culture. Superficie en pure : C’est la superficie physique des parcelles où il n’existe qu’une seule culture. Superficie en principale : C’est la superficie physique des parcelles où il y a au moins deux (02) cultures, et la culture considérée est la plus dominante en nombre de pieds. Superficie en secondaire : C’est la superficie physique des parcelles où il existe au moins deux (02) cultures, et la culture considérée est la moins dominante en terme de nombre de pieds.

La vocation première du dispositif est d’évaluer les superficies, les rendements et les productions des principales cultures en saison pluvieuse. Cette évaluation est faite en deux temps : août et septembre, pour les prévisions saisonnières, et à la fin des récoltes pour les résultats définitifs. Les objectifs spécifiques visés par l’enquête sont : - réaliser des prévisions de récoltes céréalières courant septembre de chaque année afin d’informer très tôt le gouvernement et ses partenaires au développement de façon objective sur la situation de la campagne. Ces prévisions permettent d’établir un bilan céréalier prévisionnel ; - faire des estimations de stocks résiduels paysans courant septembre ; - évaluer les superficies, les rendements et les productions agricoles définitifs par province et pour chaque culture. Outre ces données, le dispositif permet de collecter des informations sur le crédit, l’utilisation des intrants, la commercialisation, la population agricole, l’emploi agricole, les sources de revenus monétaires, le cheptel rattaché aux ménages agricoles, la démographie des ménages agricoles, etc. Les données issues de l’EPA, qui est une enquête par sondage, sont complétées par des données de sources administratives relatives aux plaines et bas-fonds aménagés, notamment pour les cultures de riz et de maïs qui sont pratiquée aussi bien en saison pluvieuse qu’en saison sèche (par irrigation) sur ces aménagements.

Base de sondage Fichier village du RGPH-2006 (7 871 villages et secteurs) avec 1 219 241 ménages agricoles Type de sondage Sondage à deux degrés avec stratification au premier degré (village) et au second degré (ménage agricole). La stratification au second degré est induite par celle du premier degré. Tirage de l’échantillon - Premier degré : Les unités primaires (UP) sont les villages administratifs. Elles sont sélectionnées suivant le mode de tirage à probabilités inégales et sans remise. La probabilité d’apparition d’une UP est proportionnelle à sa taille en nombre de ménages. - Deuxième degré : Les unités secondaires sont les ménages agricoles. Ils sont sélectionnés par tirage aléatoire simple et sans remise. Chaque ménage d’une même unité primaire a la même probabilité d’apparaître dans l’échantillon. Échantillon 887 villages et 5 322 ménages (US) repartis par strate. Le nombre de ménages échantillons par strate a été déterminé selon une répartition optimale (Budget disponible/fiabilité souhaitée) connu sous le nom d’allocation optimale de NEYMANN. En la campagne agricole 2014-2015, le panel précédent réalisé depuis le dernier Recensement général de l’agriculture (RGA 2006-2008), a été renouvelé pour tenir compte de l’obsolescence et de la lassitude des ménages qui le composent.

Description L’EPA a utilisé les questionnaires suivants : - Cahier 1 : Recensement des membres, recensement des parcelles, recensement des parcelles abandonnées et utilisation des intrants, Cheptel du ménage - Cahier 2 : Mesures des superficies, pose et pesée des carrés de rendement - Cahier 3 : Evaluation des superficies pour les prévisions d’août - Cahier 4 : Estimation des stocks céréaliers et prévisions des récoltes et estimation de la production des parcelles abandonnées - Cahier 5 : Utilisation de la production agro-sylvo pastorale des ménages - Cahier 6 : Sécurité alimentaire (Deux passages : en septembre et en Décembre) - Cahier 8 : Equipement des ménages et acquisition des intrants Déroulement Enquête pilote Formation du personnel de terrain Au début de la campagne agricole, deux sessions de formation sont organisées à l’intention de l’ensemble du personnel impliqué dans le dispositif de collecte des données. - Au niveau central : Formation des formateurs (cadres de la DGESS, des Directions centrales impliquées et superviseurs régionaux). - Au niveau régional : Formation des enquêteurs et des contrôleurs dans chacune des 13 régions. La formation est assurée conjointement par une équipe centrale et des superviseurs régionaux. Lors de cette session, 154 contrôleurs et 796 enquêteurs sont formés. Collecte Réalisée de juin 2018 à Décembre 2019. Pour la campagne 2018/2019, deux types de collecte ont été utilisés : La collecte mobile avec l’utilisation tablettes (CAPI) dans dix régions et la collecte papier avec utilisation des questionnaires papiers (PAPI) dans trois régions qui sont : EST, BOUCLE DU MOUHOUN et le SAHEL.

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Crop estimation methodology

Crop area definitions

Area planted (superficie de la parcelle): This is the physical area of ​​the planted crops, with no reference to the proportions of each crop planted.

Monoculture (superfice en pure): This is the physical area of ​​the planted crop when there is only one crop.

Area of a dominant crop (superficie en principale): This is the physical area of one crop that constitutes the majority of the crops planted​​ (2 or more).

Area of a secondary crop (superficie en secondaire): This is the physical area of ​​one specific crop that does not constitute the majority of the crops planted​​ (2 or more).

Survey objectives

The first objective is to assess the areas, yields, and production of important crops in the rainy season. This assessment is done in two stages: August/September for initial seasonal forecasts, and at the end of the harvests for the final results.

The specific objective of the survey is to produce objective cereal harvest forecasts early in the year (September), in order to inform the government and its development partners of the country’s food supply. These forecasts help to establish a provisional national cereal balance sheet, estimate on-farm stocks for own consumption, and assess results by province and for each crop. Additionally, the survey collects information on credit, the use of inputs, marketing intentions, agricultural employment opportunities, farming income, livestock attached to agricultural households, the demography of agricultural households, etc.

The sample survey data are supplemented by data from administrative sources relating to harvests on developed plains and in lowland areas, particularly for rice and corn crops which are grown in both the rainy season and dry season (by irrigation) in these production systems.

Survey design

Sample frame (base de sondage): The “Village” sample of the Population and Housing Census-2006 (7,871 villages and sectors), with 1,219,241 agricultural households.

Type of survey (type de sondage): Two-stage survey with stratification at the first stage (village) and at the second stage (agricultural household). The stratification at the second stage is induced by that of the first stage.

Sample selection (tirage de l’échantillon): - First stage: The primary units (PU) are the administrative villages. They are selected according to the unequal probability drawing method and without replacement. The probability of a PU appearing is proportional to its size in number of households. - Second stage: The secondary units are the agricultural households. They are selected by simple random drawing and without replacement. Each household of the same primary unit has the same probability of appearing in the sample.

The sample (échantillon): 887 villages and 5,322 households distributed by stratum. The number of sample households per stratum was determined according to the available budget and desired reliability, using Neymann’s optimal allocation method. The panel from the last General Agricultural Census (RGA 2006-2008) was renewed to take into account the aging and sample fatigue of households comprising it.

Description

The survey used the following questionnaires:

• Book 1:Census of members, census of plots, census of abandoned plots and use of inputs, household livestock.

• Book 2: Measurement of areas, selecting and weighing of yield squares.

• Book 3:Evaluation of areas for August forecasts.

• Book 4: Estimation of cereal stocks and harvest forecasts and estimation of production of abandoned plots.

• Book 5: Use of household agro-sylvo-pastoral production.

• Book 6: Food security (two rounds: in September and December).

• Book 8: Household equipment and acquisition of inputs.

Pilot survey procedure (Déroulement enquête pilote)

Training of field staff

At the beginning of the agricultural campaign, 2 training sessions are organized for all staff involved in the data collection system:

• At the central level: Training of trainers (ministry executives, central directorates involved and regional supervisors).

• At the regional level: Training of investigators and controllers in each of the 13 regions. The training is provided jointly by a central team and regional supervisors. During this session, 154 controllers and 796 investigators are trained

Data collection (Collecte)

Data collection is carried out from June to December. Two types of collection are used: mobile collection using tablets (CAPI) in 10 regions and paper collection using paper questionnaires (PAPI) in 3 regions: East, Boucle du Mouhoun and Sahel.

For PAPI collection, the Ministry is responsible for designing data entry programs, training agents and data entry controllers. The control of the data entry of each region's files is ensured by the regional supervisor, supported by the central team. Ministry technical experts edit the inconsistencies noted in the files. Each regional supervisor of the regions with paper collection, supported by the central team, is responsible for checking and possibly correcting inconsistencies in the files already entered.

For CAPI collection, data is downloaded directly from the server and subjected to prescribed cleaning procedures in order to identify inconsistencies. The correction of inconsistencies noted at this level is done by consulting the various supervision reports and/or by directly contacting the field system for verification with households.

Calculation of aggregates (Calcul des agrégats)

The weighting parameters are calculated in order to allow extrapolation of data at the provincial, regional, and national levels.

Editing of results (Edition des résultats)

By applying the weightings to the collected data, the preliminary tables are edited. They are submitted for plausibility review to each region, supported by the central team. The correction of improbabilities allows the editing of the final tables which are then validated at several levels.

Internal technical validation (Validation technique interne)

During the internal validation working sessions, the results are presented by the processing team. At this stage, discussions always focus on the plausibility, and the results of the work are shared during the session with the central departments of the ministry.

Official validation (Validation officielle)

The internally validated production data are used with other types of data to develop food security aggregates (cereal and food balance sheets, provincial cereal needs coverage rate, provincial caloric proxies) and food security indicators at the micro level (level of household cereal autonomy, household cereal insecurity, etc.). All of these results are presented to the Food Situation Forecasting Committee (CPSA), which officially validates them before introducing them to the Council of Ministers for adoption.