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50x2030

Annual Agricultural Survey 2020-2021

Senegal, 2020 - 2021
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Reference ID
SEN_2020-2021_AAS_v01_EN_M_v01_A_OCS
Producer(s)
Directorate of Analysis, Forecasting and Agricultural Statistics
Collections
50x2030 Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jul 15, 2022
Last modified
Jul 15, 2022
Page views
74646
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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_2020-2021_AAS_v01_EN_M_v01_A_OCS

    Title

    Annual Agricultural Survey 2020-2021

    Country
    Name Country code
    Senegal SEN
    Study type

    Agricultural Survey [ag/oth]

    Series Information

    Since 2017, with the support of FAO's AGRISurvey Programme, DAPSA has adapted the methodology of the Annual Agricultural Survey through the adoption of an integrated and modular approach, namely the AGRIS method developed under the Global Strategy for the Improvement of Agricultural and Rural Statistics (GSARS). This approach makes it possible to produce data taking into account not only agricultural production activities, but also the economic, social and environmental dimensions of farms through the deployment of thematic modules administered in conjunction with the annual basic questionnaire according to a multiannual rotary plan. In addition, the coverage of the survey was extended to all agricultural activities: rain-fed agriculture, irrigated agriculture, horticulture, livestock, fishing and agroforestry.

    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 makes it possible to provide information on the physical characteristics of cultivated plots (geo-location, area) and major investments made at their level (agricultural inputs, cultivation operations, soil management and restoration). The main indicators relate to yield levels, areas sown, production and means of production.

    Kind of Data

    Sample survey data [ssd]

    Unit of Analysis

    Households

    Scope

    Notes

    The description of scope includes:

    • Socio-demographic characteristics of agricultural households
    • Characteristics of agricultural holdings
    • Methods of agricultural production
    • Cultivation activities of households
    • Use of agricultural inputs and equipment
    • Production and use of crop crops
    • Livestock
    • Agricultural labour force
    • Fisheries and agroforestry
    • Production-related shocks
    • Access to agricultural information and infrastructure
    • Environment and climate change

    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 and Rural Development
    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
    Horticulture Department Ministry of Agriculture and Rural Development Participation in training
    Funding Agency/Sponsor
    Name Role
    Government of Senegal Funding of staff and collection material
    United States Agency for International Development Main donor of the AGRISurvey program in Senegal
    AGRISurvey Program of the Food and Agriculture Organization of the United Nations Technical and Financial Assistance, Logistic Support
    50x2030 Initiative (www.50x2030.org) Technical and Financial Assistance

    Sampling

    Sampling Procedure

    The sample for the 2019/2020 marketing year has been renewed. As a reminder, the EAA was built on a two-stage survey, with census districts (CDs) as primary units (PUs) and agricultural households as secondary units (SUs), as defined in the RGPHAE 2013. In line with the broadening of the scope of the survey advocated by the AGRIS approach, the sampling plan has integrated from this campaign a stratification at the first degree, induced by that of the second degree, to better reflect the different 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 effective than an independent first-degree stratification, was guided by the constraint of non-existence of relevant variables of interest in the RGPHAE sampling frame to discriminate against CDs.

    The stratification took into account the relative importance of the main agricultural activities (in terms of household numbers) identified in the RGPHAE, namely rainy agriculture, livestock and horticulture. Four strata have thus been constituted as follows:

    • the rain stratum only" which includes all households practicing only rain crops;
    • the "Livestock only" stratum for households that practice livestock only;
    • the "Horticulture and other crops" stratum, which includes households that mainly practice horticulture and incidentally other crops (forestry, fruit arboriculture, etc.);
    • the "Rainfed-Livestock" stratum made up of households that practice both rainfed agriculture and livestock.

    The sample size of the agricultural households to be surveyed was calculated by department (field of study) by setting a relative error of 10% on the variable of interest (see Technical Note in the Annex). At the national level, this resulted in a theoretical sample size of 7,300 distributed in 1,460 physical CDs, at a rate of 5 households per CD. At the end of the enumeration operation carried out in the rds physical samples, adjustments were made to take account of the actual updated size of the CDs, which led to a final size of 7 755, or 1 527 CD.

    The average yields of the main crops are calculated per department on the basis of 60 plots drawn and distributed in 12 different CDs. As the collection of plot data often takes longer than expected, the drawing of yield plots is done a priori based on data from the 2019/2020 season. The basic assumption is that households have roughly the same farming practices from one campaign to the next. Thus, to constitute the sample of the plots that are the subject of yield square installation, part of the sample of the households surveyed is drawn. For each main crop and for each department, a sample of 80 households is randomly drawn from households that had practiced cultivation in 2019/2020, including 20 replacement households in case the drawn household did not renew the culture of the past campaign. If for the crop in question, the number of households that had practiced it is less than 60, the investigator is asked to complete the information from an out-of-sample household drawn in the same CD.

    Weighting

    Poids_men: Household weighting (Phase 1)
    Weight2: Household weighting (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, production methods and environment.

    Data collection

    Dates of Data Collection
    Start End
    2020-08-15 2020-10-15
    2021-01-04 2021-03-15
    Mode of data collection
    • Computer Assisted Personal Interview [capi]
    Data Collection Notes

    At the regional level, of which there are 14 for all regions, the regional supervisors (the person in charge of statistics at the DRDR level if the position is filled) are responsible for:

    • supervising the selection of interviewers and the refresher sessions;
    • receive and distribute survey material (training materials, tablets / smartphones, supplemental questionnaires, fuel supply, etc.);
    • facilitate the centralization of equipment (smartphones, chargers, etc.) at the regional level at the end of operations;
    • supervise the consolidation of the data collected (verification, consistency, etc.);
    • inform regional and national authorities on the implementation of operations.

    At the departmental level, there are 45 departmental supervisors (Departmental Heads of Service), who are responsible for:

    • to assist the regional supervisor in his tasks;
    • supervise the preparation and implementation of the survey plan;
    • proceed with the allocations of CDs and households;
    • facilitate the control and correction of data;
    • to save the data (files) in a computer;
    • participate in the consolidation of data at the regional level;
    • to ensure proper management of equipment.

    The 45 departmental supervisors are responsible for:

    • assisting the departmental supervisor in his/her tasks;
    • implement the survey plan;
    • to control the collection operations in the field;
    • make corrective proposals on collection operations (observation points, collection devices, etc.).

    The 168 investigators are responsible for:

    • informing the local authorities of the operation;
    • identify the household to be surveyed with the support of the authority;
    • administer the various questionnaires;
    • submit the questionnaires to the supervisor for approval;
    • to approach the controller for checking, correcting and saving the data (saving in 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 (EAA), 2020-2021, Directorate of Analysis, Forecasting and Agricultural Statistics (DAPSA) of the Republic of Senegal, www.dapsa.gouv.sn

    (b) French version:
    Source: Enquête agricole annuelle (EAA), 2020-2021, Direction de l'Analyse, de la Prévision et des Statistiques Agricoles (DAPSA) de la République du Sénégal, www.dapsa.gouv.sn

    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 [email protected] http://www.dapsa.gouv.sn
    Ms. Fall Sylvie Dasylva Directorate of Agricultural Analysis, Forecasting and Statistics [email protected] http://www.dapsa.gouv.sn

    Metadata production

    DDI Document ID

    DDI_SEN_2020-2021_AAS_v01_EN_M_v01_A_OCS_FAO

    Producers
    Name Affiliation Role
    Office of Chief Statistician Food and Agriculture Organization Adoption of metadata for FAM
    Directorate of Agricultural Analysis, Forecasting and Statistics Ministry of Agriculture and Rural Development Study documentation

    Metadata version

    DDI Document version

    SEN_2020-2021_AAS_v01_EN_M_v01_A_OCS_v01

    Back to Catalog
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