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Annual Agricultural Survey 2022-2023

Senegal, 2022 - 2023
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Reference ID
SEN_2022-2023_AAS_v01_M_v01_A_OCS
Producer(s)
Directorate of Analysis, Forecasting and Agricultural Statistics
Metadata
DDI/XML JSON
Study website
Created on
Oct 30, 2024
Last modified
Oct 30, 2024
Page views
89652
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  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Identification
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Survey instrument
  • Data collection
  • Data Access
  • Disclaimer and copyrights
  • Contacts
  • Metadata production
  • Identification

    Survey ID number

    SEN_2022-2023_AAS_v01_M_v01_A_OCS

    Title

    Annual Agricultural Survey 2022-2023

    Abbreviation or Acronym

    AAS 2022-2023

    Country
    Name Country code
    Senegal SEN
    Study type

    Agricultural Survey [ag/oth]

    Series Information

    The Annual Agricultural Survey is a sample survey carried out during the main agricultural season in Senegal (July of year n to June of year n+1) with the primary objective of providing information on main rain-fed agricultural production in Senegal. The adoption of the modular approach of the AGRIS method, since the 2017-2018 agricultural campaign, has improved the coverage of the survey by taking into account non-rainfed activities (livestock, horticulture, fishing/aquaculture and agroforestry) of agricultural households and the integration of the technical, economic, environmental and social dimensions of agricultural holdings. In addition to the basic module, which collects data on production and input use on an annual basis, thematic modules are planned on a three-yearly rotation.

    Abstract

    The agricultural survey in its current form covers all regions of the country and all 45 departments of Senegal. The agricultural survey is an annual statistical operation whose general objective is to estimate the level of the main agricultural output of family-type agricultural holdings. It also provides information on the physical characteristics of cultivated plots (geo-location, area) and major investments made in them (agricultural inputs, cultivation operations, soil management and restoration). The main indicators relate to yield levels, areas sown, production and means of production.

    Following a modular approach, the 2022-2023 edition of the annual agricultural survey is characterized by the integration of the MEA module (Machines, Equipment and other Agricultural Assets). In addition, the basic module of the 50x2030 questionnaire allows the collection of data for the calculation of SDG 5.a.1.

    Kind of Data

    Sample survey data [ssd]

    Unit of Analysis

    Households and agricultural plots

    Scope

    Notes

    The description of scope includes:

    • Socio-demographic characteristics of agricultural households
    • Characteristics of agricultural holdings
    • Agricultural production methods
    • Household farming activities
    • Use of agricultural inputs and equipment
    • Production and use of plant crops
    • Livestock breeding
    • Agricultural labor
    • Fishing and aquaculture
    • Agroforestry
    • Production-related shocks
    • Subsidies, loans and transfers
    • Average labor productivity (SDG 2.3.1) and average income of small agricultural producers (SDG 2.3.2)
    • Property rights over land particularly women (SDG 5.a.1)

    Coverage

    Geographic Coverage

    The annual agricultural survey covers all 45 departments of Senegal. However, for reasons related to anonymization, the variable "Department" has been replaced by the variable "Agroecological Zone" which constitutes groupings in relation to the departments. The variable "Region" remains in the anonymized version of the data.

    Universe

    The agricultural survey covers all households and plots in the 45 departments of Senegal.

    Producers and sponsors

    Primary investigators
    Name Affiliation
    Directorate of Analysis, Forecasting and Agricultural Statistics Ministry of Agriculture, Rural Development and Food Sovereignty
    Producers
    Name Affiliation Role
    Food and Agriculture Organization of the United Nations United Nations Technical support
    Research and Planning Unit Ministry of Livestock and Animal Production Support in the development of the questionnaire
    National Agency for Statistics and Demography Ministry of Economy, Finance and Planning Participation in training
    Directorate of Horticulture Ministry of Agriculture, Rural Development and Food Sovereignty Participation in training
    Directorate of rural development and modernisation Ministry of Agriculture, Rural Development and Food Sovereignty Participation in training
    Funding Agency/Sponsor
    Name Abbreviation Role
    Government of Senegal GoS Funding of staff and collection material
    50x2030 Initiative (www.50x2030.org) 50x2030 Technical and Financial Assistance

    Sampling

    Sampling Procedure

    The AAS was built on a two-stage survey, with census districts (CDs) as primary units (PUs) and agricultural households as secondary units (SUs), as defined during the general census of population and l'Habitat, de l'Agriculture et de l'Élevage (RGPHAE) of 2013. In line with the broadening of the scope of the survey recommended by the AGRIS approach, from this campaign onwards the sample design incorporated a first-stage stratification, induced by the second-stage stratification, to better reflect the various agricultural activities and improve the efficiency of the estimates. The choice of a first-degree stratification induced by that of the second degree, although less efficient than an independent first-degree stratification, was guided by the constraint of non-existence of relevant variables of interest in the sampling frame of the RGPHAE to discriminate against the CDs. The stratification took into account the relative importance of the main agricultural activities (in terms of household size) identified during the 2013 RGPHAE, namely rainfed agriculture, livestock and horticulture.

    Thus, four strata were formed as follows:

    • the "rainfed only" stratum which groups together all the households practicing only rainfed crops;
    • the "livestock only" stratum for households that practice animal husbandry only;
    • the "Horticulture and other crops" stratum, which includes households that mainly practice horticulture and secondarily other crops (forestry, fruit growing, etc.);
    • the "Rainfed-livestock" stratum made up of households that practice both rainfed agriculture and livestock breeding.

    The size of the sample of agricultural households to be surveyed was calculated by department (area of study) by setting a relative error of 10% on the variable of interest. The distribution of the sample of each department in the strata was made using the Bankier method (1988) developed in the methodological guide to the main sampling frame practices (pp. 79-81) of the Global Strategy for Agricultural and Rural Statistics (GSARS).

    At the national level, the total theoretical sample is equal to 7,450 households, spread over 1,460 physical CDs, with 5 households per CD. At the end of the enumeration operation carried out in the physical sample CDs, adjustments were made to take into account the actual updated size of the CDs, which led to a final size of 7,378 households, or 1,382 CDs.

    Deviations from the Sample Design

    Compared to the survey plan, adjustments were made based on the response rate at each phase.

    Response Rate

    First phase: sample of 7378 households, including 6360 surveyed, i.e. a coverage rate of 86%.

    Second phase: sample of 7218 households, including 6,834 surveyed, i.e. a coverage rate of 95%.

    Weighting

    Weight_men: Weighting of households (Phase 1)
    Weight_menP2: Weighting of households (Phase 2)

    Survey instrument

    Questionnaires

    The first questionnaire collected information on census and characteristics of agricultural household plots. The second questionnaire collected information on agricultural production, machinery, equipment and agricultural productivity.

    Methodology notes

    The microdata contains information on households and individuals and therefore were anonymized before dissemination for analysis.

    Data collection

    Dates of Data Collection
    Start End
    2022-09-08 2023-02-28
    2023-03-26 2023-06-17
    Mode of data collection
    • Computer Assisted Personal Interview [capi]
    Data Collection Notes

    At regional level, the 14 Regional Rural Development Directors (DRDR) and the regional supervisors (the statistics officer at DRDR level) are responsible for:

    • supervising the selection of interviewers and refresher sessions;
    • receiving and distributing survey materials (training aids, tablets, questionnaire supplements, fuel, etc.);
    • facilitating the centralisation of equipment (tablets, chargers, etc.) at regional level at the end of operations;
    • supervising the consolidation of the data collected (verification, consistency, etc.);
    • informing the regional and national authorities about the implementation of the operations.

    At departmental level (SDDR), there are 45 departmental supervisors (Heads of Department) for all the departments, who:

    • assist the regional supervisor in his tasks ;
    • supervise the preparation and implementation of the survey plan;
    • carry out the assignment of RDs and households;
    • facilitate the checking and correction of data;
    • save data (files) on a computer;
    • participate in the consolidation of data at regional level;
    • ensure the proper management of equipment.

    The 45 departmental supervisors are responsible for:

    • assisting the departmental supervisor in his or her tasks;
    • implementing the survey plan;
    • monitoring collection operations in the field;
    • making corrective proposals on collection operations (observation points, collection system, etc.).

    The 168 surveyors are responsible for:

    • informing the local authorities of the operation;
    • identifying the household to be surveyed, with the support of the local authority;
    • administering the various questionnaires;
    • submiting the questionnaires to the controller for approval;
    • approaching the controller to check, correct and back up the data (back up on the controller's/supervisor's computer on each occasion to prevent data loss).

    Data Access

    Confidentiality
    Is signing of a confidentiality declaration required? Confidentiality declaration text
    yes Microdata from the Annual Agricultural Survey are confidential. They are anonymized to preserve the confidentiality of the identity of the respondents.
    Access conditions

    The requesting service or organization must undertake to respect the following conditions:

    1. The user must comply with the provisions of Articles 6 and 7 Chapter 2 Section 2 of Senegalese Law No. 2004.21 on the organization of statistical activities which obliges any person handling individual data, collected by the services and organizations under the national statistical system, to ensure the anonymity of the natural or legal persons concerned by the survey, and to use such data only for the purpose of disseminating or publishing aggregated statistical results.
    2. The user is fully responsible for his conclusions or studies drawn from this data and in this, the responsibility of the DAPSA can not be engaged in any way whatsoever.
    3. The data must not be copied or transmitted to other persons or organizations, directly or indirectly, without the prior written consent of DAPSA.
    4. Any publication written using data from the DAPSA must include the following statement "Source: Survey X, Year N, Direction de l'Analyse, de la Prévision et des Statistiques agricoles (DAPSA) of the Republic of Senegal, www.dapsa.gouv.sn"
    5. Three copies of any report produced on the basis of the data will be forwarded to DAPSA for information and comment.
    6. The user is informed that DAPSA reserves the right to use the ways and means he deems useful in case of non-compliance with any of these commitments, to have his rights restored.
    7. The user may, if necessary, enlist the assistance of the DAPSA in carrying out the study.

    *: X being the full name of the survey followed by its acronym in parentheses, example "Annual Agricultural Survey (EAA)".
    N being the year of the survey, example "2002".

    Citation requirements

    (a) English version:
    Source: Annual agricultural survey (AAS), 2022-2023, Directorate of Analysis, Forecasting and Agricultural Statistics (DAPSA) of the Republic of Senegal

    (b) French version:
    Source: Enquête agricole annuelle (EAA), 2022-2023, Direction de l'Analyse, de la Prévision et des Statistiques Agricoles (DAPSA) de la République du Sénégal

    Disclaimer and copyrights

    Disclaimer

    The user is entirely responsible for his conclusions or studies drawn from this data, and in this, the responsibility of the DAPSA can not be engaged in any way whatsoever.

    Contacts

    Contacts
    Name Affiliation Email URL
    Directorate of Analysis, Forecasting and Agricultural Statistics Ministry of Agricultural and Rural Development http://www.dapsa.gouv.sn
    Sylvie Dasylva Directorate of Agricultural Analysis, Forecasting and Statistics sylvie_da_sylva@yahoo.fr http://www.dapsa.gouv.sn

    Metadata production

    DDI Document ID

    DDI_SEN_2022-2023_AAS_v01_M_v01_A_OCS_FAO

    Producers
    Name Abbreviation Affiliation Role
    Statistics Division ESS Food and Agriculture Organization Adaptation of metadata for FAM
    Directorate of Agricultural Analysis, Forecasting and Statistics DAPSA Ministry of Agriculture and Rural Development Study documentation
    Development Economics Data Group DECDG The World Bank Metadata adapted for World Bank Microdata Library

    Metadata version

    DDI Document version

    Identical to a metadata (SEN_2022-2023_AAS_v01_EN_M_v01_A_OCS) published on FAO microdata repository (https://microdata.fao.org/index.php/catalog). Some of the metadata fields have been edited.

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