SEN_2022-2023_AAS_v01_M_v01_A_OCS
Annual Agricultural Survey 2022-2023
AAS 2022-2023
Name | Country code |
---|---|
Senegal | SEN |
Agricultural Survey [ag/oth]
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.
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.
Sample survey data [ssd]
Households and agricultural plots
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 However, for reasons related to anonymization, the variable "Department" has been replaced by the variable "Agroecological Zone" which constitutes groupings in relation to the departments.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 Sovereignty |
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 |
Name | Abbreviation | Role |
---|---|---|
Government of Senegal | GoS | Funding of staff and collection material |
50x2030 Initiative (www.50x2030.org) | 50x2030 | Technical and Financial Assistance |
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 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.
Compared to the survey plan, adjustments were made based on the response rate at each phase.
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%.
Weight_men: Weighting of households (Phase 1)
Weight_menP2: Weighting of households (Phase 2)
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.
The microdata contains information on households and individuals and therefore were anonymized before dissemination for analysis.
Start | End |
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2022-09-08 | 2023-02-28 |
2023-03-26 | 2023-06-17 |
At regional level, the 14 Regional Rural Development Directors (DRDR) and the regional supervisors (the statistics officer at DRDR level) are responsible for:
At departmental level (SDDR), there are 45 departmental supervisors (Heads of Department) for all the departments, who:
The 45 departmental supervisors are responsible for:
The 168 surveyors 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 (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
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 | http://www.dapsa.gouv.sn | |
Sylvie Dasylva | Directorate of Agricultural Analysis, Forecasting and Statistics | sylvie_da_sylva@yahoo.fr | http://www.dapsa.gouv.sn |
DDI_SEN_2022-2023_AAS_v01_M_v01_A_OCS_FAO
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 |
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.