Annual Agricultural Survey 2017-2018
Senegal, 2017
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Reference ID
SEN_2017-2018_AAS_v01_EN_M_v01_A_OCS
Producer(s)
Directorate of Agricultural Analysis, Forecasting and Statistics
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Mar 19, 2020
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Identification
Survey ID Number
SEN_2017-2018_AAS_v01_EN_M_v01_A_OCS
Title
Annual Agricultural Survey 2017-2018
Country
| Name | Country code |
|---|---|
| Senegal | SEN |
Study type
Agricultural Survey [ag/oth]
Abstract
The 2017-2018 Annual Agricultural Survey was carried out as part of the Integrated Agricultural Survey (AGRISurvey) Project. AGRIS is a multi-year modular agricultural survey program. The AGRIS methodology was developed by FAO as part of the global strategy to improve agricultural and rural statistics. It was designed as a cost-effective way for national statistical structures to accelerate the production of quality disaggregated data on the technical, economic, environmental and social dimensions of farms. The data generated is intended to inform the design and implementation of policies, as well as to improve market efficiency and support research. AGRIS constitutes an invaluable source of data and provides the framework for the design, monitoring and evaluation of any agricultural or rural policy or investment, it provides direct information for certain indicators
The agricultural survey in its current form, covers all the regions of the country and all districts (with the exception of the district of Dakar, Pikine and Guédiawaye excluded from the scope of the survey due to the weakness or even the inexistence of agricultural activity). The agricultural survey is an annual statistical operation whose general objective is to estimate the level of the main agricultural productions of family-type farms. It also makes it possible to provide information on the physical characteristics of cultivated plots (geolocation, area) and major investments made at their level (agricultural inputs, cultivation operations, management and restoration of soils). It also addresses, once every 3 years, the themes of the structure of agricultural households (level of agricultural equipment, agricultural income, agricultural risks and adaptation strategies, etc.). The main indicators relate to yield levels, area sown, production and means of production.
The agricultural survey in its current form, covers all the regions of the country and all districts (with the exception of the district of Dakar, Pikine and Guédiawaye excluded from the scope of the survey due to the weakness or even the inexistence of agricultural activity). The agricultural survey is an annual statistical operation whose general objective is to estimate the level of the main agricultural productions of family-type farms. It also makes it possible to provide information on the physical characteristics of cultivated plots (geolocation, area) and major investments made at their level (agricultural inputs, cultivation operations, management and restoration of soils). It also addresses, once every 3 years, the themes of the structure of agricultural households (level of agricultural equipment, agricultural income, agricultural risks and adaptation strategies, etc.). The main indicators relate to yield levels, area sown, production and means of production.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Agricultural holdings
Scope
Notes
A. Agricultural component
1. Census of household members
2. Plot monitoring
B. Household component
1. General information on farming
2. Production shock strategies
3. Participation of household members and agricultural workers in farming
4. Total production and destination of products and by-products
5. Breeding
6. Agricultural equipment
1. Census of household members
2. Plot monitoring
B. Household component
1. General information on farming
2. Production shock strategies
3. Participation of household members and agricultural workers in farming
4. Total production and destination of products and by-products
5. Breeding
6. Agricultural equipment
Coverage
Geographic Coverage
National coverage.
Universe
The survey covers all households and agricultural plots in the 42 districts of the country.
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Directorate of Agricultural Analysis, Forecasting and Statistics | Ministry of Agriculture and Rural Development |
Producers
| Name | Affiliation | Role |
|---|---|---|
| Horticulture Department | Ministry of Agriculture and Rural Development | Support in questionnaire development, investigator training and supervision |
| National Agency for Statistics and Demography | Ministry of Economy, Finance and Planning | Support in questionnaire development, investigator training and supervision |
| Studies and Planning Unit of the Ministry of Livestock | Ministry of Livestock and Animal Production | Support in questionnaire development, investigator training and supervision |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| United States Agency for International Development | USAID | Main donor of the AGRISurvey program in Senegal |
| Food and Agriculture Organization of the United Nations | FAO | Technical and Financial Assistance |
| Government of Senegal | GoS | Financing of staff and collection material |
Sampling
Sampling Procedure
Based on the results of the latest, 2013 General Census of Population, Housing, Agriculture and Livestock (GPHAE) count, 755,532 farm households engaged in farming in the broadest sense. Out of this, 455,916 farm households engage in rain-fed agriculture, and these constitute the sample frame for the agricultural survey.
The farm household file will be used as the sampling frame for the first stage, census district draws, while the second stage sampling frame consists (at the level of each primary unit drawn), of the exhaustive list of farm households living there and representing the secondary units.
The sample design includes a global sample of 6340 farm households distributed in 1260 census districts and the 42 districts/department of the country. The distribution of the sample takes into account the overall sampling rates and the agricultural weight of the stratum.
A two-stage random sampling design was used, with census districts as primary units and farm households as secondary units. The method consists of distributing the statistical population (farm households) into primary units so that each of them is unambiguously linked to a specific primary unit. The sample is then drawn in two stages:
- In the first stage, a sample of primary units is drawn,
- In the second stage, a sample of secondary units is selected from each primary unit drawn at the first stage.
The advantage of this method is that it is not necessary to have an exhaustive list of secondary units for the whole national territory, but only those residing in the sample primary units. This reduces travel and consequently the costs of the survey.
Sample draws will be organised independently from one district to another. The primary units are drawn with unequal probabilities and with replacement. The probability of leaving a census district at each draw is chosen proportional to its size expressed in terms of the number of farm households. At the second level, secondary units (or farm households) are drawn with equal probabilities and without replacement. A constant number of secondary units is selected from each census district in the first-stage sample. This constant number of secondary units is selected equal to 5.
The farm household file will be used as the sampling frame for the first stage, census district draws, while the second stage sampling frame consists (at the level of each primary unit drawn), of the exhaustive list of farm households living there and representing the secondary units.
The sample design includes a global sample of 6340 farm households distributed in 1260 census districts and the 42 districts/department of the country. The distribution of the sample takes into account the overall sampling rates and the agricultural weight of the stratum.
A two-stage random sampling design was used, with census districts as primary units and farm households as secondary units. The method consists of distributing the statistical population (farm households) into primary units so that each of them is unambiguously linked to a specific primary unit. The sample is then drawn in two stages:
- In the first stage, a sample of primary units is drawn,
- In the second stage, a sample of secondary units is selected from each primary unit drawn at the first stage.
The advantage of this method is that it is not necessary to have an exhaustive list of secondary units for the whole national territory, but only those residing in the sample primary units. This reduces travel and consequently the costs of the survey.
Sample draws will be organised independently from one district to another. The primary units are drawn with unequal probabilities and with replacement. The probability of leaving a census district at each draw is chosen proportional to its size expressed in terms of the number of farm households. At the second level, secondary units (or farm households) are drawn with equal probabilities and without replacement. A constant number of secondary units is selected from each census district in the first-stage sample. This constant number of secondary units is selected equal to 5.
Response Rate
In terms of coverage, the response rates are 86% at the cluster level, and 92% at the household level.
Weighting
Adjusted household weights were calculated and used. The weighting calculations can be found in the file "Note on the calculation of weighting coefficients".
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2017-09-01 | 2017-10-31 |
Data Collection Mode
Computer Assisted Personal Interview [capi]
Access policy
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Agricultural Documentation and Information Statistics Division | Directorate of Agricultural Analysis, Forecasting and Statistics | [email protected] | Link |
Confidentiality
Individual data is confidential and governed by the provisions of articles 6 and 7 of Senegalese law No 2004.21 relating to the organization of statistical activities. This law requires all persons handling individual data, collected by the services and bodies under the national statistical system, to guarantee the anonymity of the natural or legal persons concerned by the survey and to use this data only for the purpose of dissemination or for publishing aggregated statistical results.
Access conditions
Any use of the data produced or managed by DAPSA must be subject to an authorization request addressed to its director. It will clearly indicate the use that will be made of the data and a copy in French or in English of the study project must be attached to the request.
The requesting service or organization must undertake to comply with the following conditions:
1. The user must comply with the provisions of articles 6 and 7 chapter 2 section 2 of the Senegalese law No 2004.21 relating to the organization of statistical activities which obligation for any person handling individual data, collected by the services and bodies under the national statistical system, to guarantee the anonymity of the natural or legal persons concerned by the survey, and to use this data only for the purpose of disseminating or publish aggregated statistical results.
2. The user is fully responsible for his conclusions or studies drawn from these data and in this,
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 *, Directorate of Analysis, Forecasting and Agricultural Statistics (DAPSA) of the Republic from Senegal, www.dapsa.gouv.sn "
5. Three copies of any report produced on the basis of the data must be sent for information and comments to DAPSA.
6. The user is informed that DAPSA reserves the right to use any means it deems useful in the event of non-compliance with any of these commitments.
7. The user can, if necessary, enlist the assistance of 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".
The requesting service or organization must undertake to comply with the following conditions:
1. The user must comply with the provisions of articles 6 and 7 chapter 2 section 2 of the Senegalese law No 2004.21 relating to the organization of statistical activities which obligation for any person handling individual data, collected by the services and bodies under the national statistical system, to guarantee the anonymity of the natural or legal persons concerned by the survey, and to use this data only for the purpose of disseminating or publish aggregated statistical results.
2. The user is fully responsible for his conclusions or studies drawn from these data and in this,
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 *, Directorate of Analysis, Forecasting and Agricultural Statistics (DAPSA) of the Republic from Senegal, www.dapsa.gouv.sn "
5. Three copies of any report produced on the basis of the data must be sent for information and comments to DAPSA.
6. The user is informed that DAPSA reserves the right to use any means it deems useful in the event of non-compliance with any of these commitments.
7. The user can, if necessary, enlist the assistance of 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
Source: "Annual agricultural survey (AEE), 2017/2018, Directorate of Analysis, Forecasting and Agricultural Statistics (DAPSA) of the Republic of Senegal, www.dapsa.gouv.sn ".
Disclaimer and copyrights
Disclaimer
The user is fully responsible for his conclusions or studies drawn from these data and in this, the responsibility of DAPSA can not be engaged in any way whatsoever.
Metadata production
DDI Document ID
DDI_SEN_2017-2018_AAS_v01_EN_M_v01_A_OCS_FAO
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Office of Chief Statistician | OCS | Food and Agriculture Organization | Metadata adapted for FAM |
| Directorate of Agricultural Analysis, Forecasting and Statistics | DAPSA | Ministry of Agriculture and Rural Development | Study documentation |
DDI Document version
SEN_2017-2018_AAS_v01_EN_M_v01_A_OCS_v01