SEN_2019-2020_AAS_v01_EN_M_v01_A_OCS
Annual Agricultural Survey 2019-2020
Name | Country code |
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Senegal | SEN |
Agricultural Survey [ag/oth]
From the period of independence to the early 1980s, statistics were provided without an appropriate methodology by the Regional Inspectorates of Agriculture and the Regional Development Societies located at the level of agro-ecological zones.
From 1984 to 1990, a methodological approach initiated by CILSS/DIAPER made it possible to carry out estimates from administrative squares and the results were produced down to the level of the arrondissements. However, neither the size of the sample (around 4000 administrative squares for 90 arrondissements), nor the quality of the statistical unit of observation (the administrative square) made it possible to guarantee reliable estimates, the square being very unstable and the fairly fluctuating existence.
Since 1990, the new methodology implemented with the assistance of the FAO, reinforced with the National Census of Agriculture (RNA) of 1997-1999, introduces certain innovations in the methodological approach:
• A sampling base constituted by the exhaustive list of agricultural households is now available;
• The primary statistical unit becomes the census district (CD) instead of the village;
• The secondary statistical unit, the agricultural household (or agricultural holding) instead of the administrative square;
• The level of representation of the results is now the department (and no longer the district), to take into account the means and resources available.
Since 2017, with the support of the FAO AGRISurvey Program, DAPSA has adapted the methodology of the Annual Agricultural Survey (AAS) through the adoption of an integrated and modular approach, namely the AGRIS method developed under the Strategy. World 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 jointly with the annual basic questionnaire according to a multi-year rotating plan. In addition, the survey coverage was extended to all agricultural activities: rain-fed agriculture, irrigated agriculture, horticulture, animal husbandry, and agroforestry.
The annual 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, the general objective of which is to estimate the level of the main agricultural productions of family-type farms. It also provides information on the physical characteristics of cultivated plots (geolocation, area) and major investments made at their level (agricultural inputs, cultivation operations, soil management and restoration). It also addresses, once every 3 years, themes relating to the structure of agricultural households (level of agricultural equipment, agricultural income, agricultural risks and adaptation strategies, etc.).
The main indicators relate to yield levels, sown areas, production and means of production.
The survey uaually takes place in two collection rounds:
• a first round at the start of the season (just after sowing) consisting of providing structural data on agricultural households and more cyclical data on the sown plots and their areas, the types of crops, inputs and cropping practices of the agricultural campaign;
• a second passage (after the harvests) consisting in collecting, by declaration, information on vegetable agricultural production, as well as on other agricultural activities (breeding, agroforestry), fishing and aquaculture.
However, due to the COVID 19 pandemic and the health containment measures introduced by the government of Senegal in the first quarter of 2020, the collection operations of the second phase (after the harvests) was canceled. Thus, the dataset for AAS 2019-2020 is limited in content compared to previous editions. This relates only to the data collected during the first visit.
Sample survey data [ssd]
Households
The description of scope includes:
National coverage
The survey covers all households and agricultural plots in the 45 districts of Senegal.
Name | Affiliation |
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Directorate of Analysis, Forecasting and Agricultural Statistics | Ministry of Agriculture and Rural Development |
Name | Affiliation | Role |
---|---|---|
Horticulture Department | Ministry of Agriculture and Rural Development | Support in the development of the questionnaire, in the training of interviewers and in supervision |
National Agency for Statistics and Demography | Ministry of Economy, Finance and Planning | Support in the development of the questionnaire, in the training of interviewers and in supervision |
Study and planning unit of the Ministry of Livestock and Animal Productions | Ministry of Livestock and Animal Production | Support in the development of the questionnaire, in the training of interviewers and in supervision |
Name | Role |
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United States Agency for International Development | Main donor of the AGRISurvey program in Senegal |
Food and Agriculture Organization of the United Nations | Technical and Financial Assistance |
Government of Senegal | Funding of staff and collection material |
The sample from the previous campaign was renewed for the 2019/2020 campaign. As a reminder, the EAA was built on a two-stage survey, with census districts (DR) as primary units (PU) and agricultural households as secondary units (US), as defined in the 2013 RGPHAE. results of the last RGPHAE count 755,532 agricultural households practicing agriculture in the broad sense. On this basis, 455,916 farm households practice rain-fed agriculture. The latter constitute the frame file for the agricultural survey. The farm household file was used as the sampling frame for the first stage CD draws. The secondary sampling frame is made up, at the level of each primary unit (UP) or DR drawn, of the exhaustive list of agricultural households who live there and represent the secondary units (US).
In line with the broadening of the scope of the survey recommended by the AGRIS approach, the sampling plan integrated from this 2019/2020 campaign, a first degree stratification, induced by that of the second degree, for better reflect different agricultural activities and improve the efficiency of estimates. The choice of a first degree stratification induced by quadratic stratification, 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 DRs.
The stratification took into account the relative importance of the main agricultural activities (in terms of household size) identified during the RGPHAE, namely rain-fed agriculture, animal husbandry and horticulture. Four strata were thus constituted as follows:
The size of the sample of 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 documentation).
At the national level, this resulted in a theoretical sample size of 7,300 agricultural households, distributed among 1,460 physical DRs, at the rate of 5 households per DR. At the end of the enumeration operation carried out in the physical sample DRs, adjustments were made to take into account the actual updated size of the DRs, which led to a final size of 7755, or 1527 DR.
The advantage of this method is that it is not necessary to have an exhaustive list of secondary units for the whole of the national territory, but only those residing in the primary sample units, which makes it possible to reduce the travel and consequently the costs of the investigation.
The sample draws are organized independently from one field of study (department) to another. Primary units (or DRs) are drawn with unequal probabilities and with replacement (PIAR draw). The probability of leaving a CD at each drawing is chosen proportional to its size expressed in terms of the number of agricultural households.
At the second stage, the secondary units (or agricultural households) are drawn with equal probabilities and without replacement (PESR draw). A constant number of secondary units is selected from each DR in the first stage sample. This constant number of secondary units is chosen equal to 5.
The weighting variable is weight_men.
The questionnaire collected information on census of household members and plots
Start | End |
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2019-08-20 | 2020-01-01 |
At the level of the regional rural development directorates (DRDR), the regional supervisors (responsible for statistics) are responsible for:
At the departmental level, the 45 heads of the Departmental Rural Development Services (SDDR) play the role of departmental supervisors. Their missions are:
The 45 departmental controllers are responsible for:
The 163 investigators are responsible for:
The data cleaning process took place in several stages:
To ensure data quality and real-time availability, the AAS 2019-2020 was implemented using the World Bank's Survey Solutions (SuSo) CAPI (Computer Assisted Personal Interview ”) software. In order to carry out all the interviews, a local server was installed to manage the interviews and the missions, as well as the creation of user accounts for the supervisors (45) and the interviewers (163). At the level of the collection system, each investigator has been trained in the use of the collection application of the survey solution. Following this training, the investigators received a tablet (Samsung, Tecno), the Garmin 64 tool to measure the areas of the plots and an internet connection to receive the tasks and synchronize the interviews on the server. The department-level control system, made up of heads of departmental rural development services (SDDR), was also trained in the use and management of the headquarters. To this end, each department head has been assigned an internet connection to validate or refuse the interviews.
The SuSo data entry application for the AAS 2019-2020 has been designed to optimize the data collection process in the field. Interviews were collected in “sampling” mode (tasks generated from headquarters). The logical and consistency checks integrated into the application made it possible to minimize errors in the information collected by the interviewers from the respondent. Headquarters assigned the work to the interviewers based on the coverage of households to be surveyed. Once the assignments were made, the interviewers synchronized to receive their assignments and proceeded to administer the interviews. Each interview was completed and sent to the supervisor's area in his department for verification. The verification has two states: approve the interview or reject the interview. Once the interviews have been validated by the supervisors, a database is created and can be exported in different formats (stata, spss, tab). For the AAS 2019-2020 database, data has been exported to STATA for further consistency checks, data cleaning and analysis.
Is signing of a confidentiality declaration required? | Confidentiality declaration text |
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yes | The microdata of the Annual Agricultural Survey are confidential. They are anonymized to preserve the confidentiality of the identity of 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 brackets, example "Annual agricultural survey (EAA)".
N being the year of the survey, example "2002".
(a) English version:
Source: Annual agricultural survey (EAA), 2019-2020, 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), 2019-2020, 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 these data, and in this the responsibility of the DAPSA can not be engaged in any way whatsoever.
Name | Affiliation | URL | |
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Agricultural Documentation and Information Statistics Division | Directorate of Agricultural Analysis, Forecasting and Statistics | [email protected] | http://www.dapsa.gouv.sn |
Mme Fall Sylvie Dasylva | Directorate of Agricultural Analysis, Forecasting and Statistics | [email protected] | http://www.dapsa.gouv.sn |
DDI_SEN_2019-2020_AAS_v01_EN_M_v01_A_OCS_FAO
Name | Affiliation | Role |
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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_2019-2020_AAS_v01_EN_M_v01_A_OCS_v01