SEN_2021-2022_AAS_v01_M_v01_A_OCS
Annual Agricultural Survey 2021-2022
AAS 2021-2022
Name | Country code |
---|---|
Senegal | SEN |
Agricultural Survey [ag/oth]
The Annual Agricultural Survey (EAA) 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.
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 However, for reasons related to anonymization, the variable "Department" has been replaced by the variable "Agroecological Zone" which constitutes groupings in relation to the departments.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 |
---|---|
Directorate of Analysis, Forecasting and Agricultural Statistics | Ministry of Agriculture, Rural Development and Food Security |
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 Security | Participation in training |
Name | Abbreviation | Role |
---|---|---|
Government of Senegal | GoS | Funding of staff and collection material |
United States Agency for International Development | USAID | Main donor of the AGRISurvey program in Senegal |
AGRISurvey Program of the Food and Agriculture Organization of the United Nations | FAO AGRIS | Technical and Financial Assistance, Logistic Support |
50x2030 Initiative (www.50x2030.org) | 50x2030 | Technical and Financial Assistance |
The EAA was built on a two-stage survey, with enumeration districts (DRs) as primary units (PU) and agricultural households as secondary units (US), 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, the sampling plan has integrated from this campaign , a first-degree stratification, 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 efficient than an independent first-degree stratification. 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.
Four strata were thus formed as follows:
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 method of Bankier (1988) developed in the methodological guide on the Practices of Master Sampling Bases (pp. 79-81) of the Global Strategy (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.
The overall response rate is 94% for the first phase of the survey while it is 89% for the second phase.
Weight_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, labor and agricultural productivity.
The microdata contains information on households and individuals and therefore were anonymized before dissemination for analysis.
Start | End |
---|---|
2021-08 | 2021-12 |
2022-02 | 2022-05 |
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 |
---|---|
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), 2021-2022, 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), 2021-2022, 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 | |
---|---|---|---|
Directorate of Analysis, Forecasting and Agricultural Statistics | Ministry of Agricultural and Rural Development | contact@agriculture.gouv.sn | http://www.dapsa.gouv.sn |
Ms. Fall Sylvie Dasylva | Directorate of Agricultural Analysis, Forecasting and Statistics | sylvie_da_sylva@yahoo.fr | http://www.dapsa.gouv.sn |
DDI_SEN_2021-2022_AAS_v01_M_v01_A_OCS_FAO
Name | Abbreviation | Affiliation | Role |
---|---|---|---|
Office of Chief Statistician | OCS | 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 |
Identical to a metadata (SEN_2021-2022_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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