SEN_2020-2021_AAS_v01_EN_M_v01_A_OCS
Annual Agricultural Survey 2020-2021
Name | Country code |
---|---|
Senegal | SEN |
Agricultural Survey [ag/oth]
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.
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.
Sample survey data [ssd]
Households
The description of scope includes:
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 However, for reasons related to anonymization, the variable "Department" has been replaced by the variable "Agroecological Zone" which constitutes groupings in relation to the departments.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.
The agricultural survey covers all households and plots in the 45 departments of Senegal.
Name | Affiliation |
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Directorate of Analysis, Forecasting and Agricultural Statistics | Ministry of Agriculture and Rural Development |
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 |
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 |
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 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.
Poids_men: Household weighting (Phase 1)
Weight2: Household weighting (Phase 2).
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.
Start | End |
---|---|
2020-08-15 | 2020-10-15 |
2021-01-04 | 2021-03-15 |
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:
At the departmental level, there are 45 departmental supervisors (Departmental Heads of Service), who are responsible for:
The 45 departmental supervisors are responsible for:
The 168 investigators are responsible for:
Is signing of a confidentiality declaration required? | Confidentiality declaration text |
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yes | Microdata from the Annual Agricultural Survey are confidential. They are anonymized to preserve the confidentiality of the identity of the respondents. |
The requesting service or organization must undertake to respect the following conditions:
*: 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".
(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
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.
Name | Affiliation | URL | |
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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 |
DDI_SEN_2020-2021_AAS_v01_EN_M_v01_A_OCS_FAO
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 |
SEN_2020-2021_AAS_v01_EN_M_v01_A_OCS_v01