Annual Agricultural Survey 2017-2018 - Senegal

Abstract
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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.

Geographic coverage
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National coverage.

Analysis unit
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Agricultural holdings

Universe
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The survey covers all households and agricultural plots in the 42 districts of the country.

Kind of data
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Sample survey data [ssd]

Sampling procedure
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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.

Mode of data collection
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Computer Assisted Personal Interview [capi]

Response rate
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In terms of coverage, the response rates are 86% at the cluster level, and 92% at the household level.

{'Abstract': '摘要', '---------------------------': '', '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': '2017-2018年度农业普查作为综合农业调查（AGRISurvey）项目的一部分得以实施。AGRIS是一项多年期的模块化农业调查计划。AGRIS方法由联合国粮食及农业组织（FAO）在全球农业和农村统计数据改善战略框架下开发。其旨在为国家统计机构提供一种经济高效的途径，以加速产生关于农场技术、经济、环境和社会维度的高质量细分数据。所生成数据旨在为政策的设计和实施提供信息，同时提高市场效率并支持研究。AGRIS构成了数据资源的宝贵来源，并为任何农业或农村政策或投资的规划、监控和评估提供了框架，它为某些指标提供了直接信息。', '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.': '当前形式的农业普查覆盖了该国所有地区和所有行政区（除达喀尔、皮基内和盖迪阿韦地区外，这些地区因农业活动薄弱甚至不存在而被排除在调查范围之外）。农业普查是一项年度统计操作，其总体目标是估算家庭型农场主要农业生产的水平。它还使得能够提供有关耕作地块的物理特征（地理定位、面积）以及在该水平上所进行的重大投资（农业投入、耕作操作、土壤管理和恢复）的信息。此外，每三年一次，探讨农业家庭结构（农业设备水平、农业收入、农业风险和适应策略等）的主题。主要指标与产量水平、播种面积、生产和生产手段相关。', 'Geographic coverage': '地理覆盖范围', 'National coverage.': '全国覆盖。', 'Analysis unit': '分析单位', 'Agricultural holdings': '农业经营单位', 'Universe': '总体', 'The survey covers all households and agricultural plots in the 42 districts of the country.': '调查覆盖了该国42个行政区内的所有农户和农业地块。', 'Kind of data': '数据类型', 'Sample survey data [ssd]': '样本调查数据[ssd]', 'Sampling procedure': '抽样程序', '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.': '基于最新的2013年人口、住房、农业和畜牧业普查（GPHAE）结果，有755,532户农户从事广义的农业活动。其中，455,916户农户从事雨养农业，这些农户构成了农业调查的抽样框架。农户档案将用于第一阶段抽样框架，即人口普查区抽选，而第二阶段抽样框架（在每个抽选的初级单位层面）由居住在该地并代表次级单位的农户的详尽名单组成。样本设计包括一个全球样本，共6340户农户，分布在1260个普查区和国家的42个区/部门。样本分布考虑了总体抽样率和层级的农业权重。采用了两阶段随机抽样设计，以普查区为初级单位，以农户为次级单位。该方法包括将统计总体（农户）分配到初级单位，以便每个单位都明确地与一个特定的初级单位相联系。然后，在两个阶段抽取样本：
- 在第一阶段，抽取初级单位的样本，
- 在第二阶段，从第一阶段抽选的每个初级单位中选取次级单位的样本。这种方法的优势在于，对于整个国家领土，不需要有次级单位的详尽名单，只需要那些居住在样本初级单位中的次级单位。这减少了旅行，从而降低了调查的成本。样本抽取将独立于一个地区到另一个地区进行。初级单位以不等的概率进行抽选，并允许重复。每个抽选中离开普查区的概率按其以农户数量表示的大小成比例选择。在第二级，次级单位（或农户）以等概率进行抽选，不允许重复。在第一阶段样本中，从每个普查区选取固定数量的次级单位。这个固定数量的次级单位选取数量等于5。', 'Mode of data collection': '数据收集方式', 'Computer Assisted Personal Interview [capi]': '计算机辅助个人访谈[capi]', 'Response rate': '响应率', 'In terms of coverage, the response rates are 86% at the cluster level, and 92% at the household level.': '就覆盖范围而言，集群层面的响应率为86%，家庭层面的响应率为92%。'}