Rwanda Season Agriculture Survey 2021 - Rwanda

Abstract
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The main objective of the Seasonal Agricultural Survey is to provide timely, accurate, reliable, and comprehensive agricultural statistics that describe the structure of agriculture in Rwanda mainly in terms of land use, crop area, yield, and crop production to monitor current agricultural and food supply conditions and to facilitate evidence-based decision making for the development of the agricultural sector.
The National Institute of Statistics of Rwanda (NISR) has been conducting seasonal agricultural surveys since 2012 for the estimation of the national agricultural crop area and production estimates. In the 2020/2021 agricultural year, the NISR conducted Seasonal Agricultural Survey (SAS) covering the three agricultural seasons. The SAS provides information used as a tool to assist in addressing key agricultural issues and information needs that will inform policymakers and other stakeholders and allow more effective identification of priority intervention needs.

Geographic coverage
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National Coverage

Analysis unit
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Agricultural holdings

Kind of data
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Sample survey data [ssd]

Sampling procedure
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Out of 5 defined agricultural strata, only dominant hill crop land stratum, dominant wetland crops stratum, dominant rangeland stratum and mixed stratum were considered as land potential for agriculture. The remaining stratum is the non-agricultural land. Note that clusters covered by tea plantations were not considered in the area sample frame due to reasons stated above. Thus, RSAS is conducted on 4 above mentioned strata to cover other major crops. In 2021 agricultural year, the total sample used was 1200 segments.
At first stage,1200 segments were selected and allocated at district level based on the power allocation approach (Bankier2, 1988). Sampled segments inside each district were distributed among strata with a proportional-to-area criterion.
At second stage, 25 sample points were systematically selected, following a special distance of 60 meters between points. Sample points are reporting units within each segment, where enumerators go to every point, locate and delineate plots in which the sample points fall, and collect records of land use and related information. The recorded information represents the characteristics of the whole segment which are extrapolated to the stratum level and hence the combination of strata within each district provides district area related statistics.

Mode of data collection
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Computer Assisted Personal Interview [capi]

Research instrument
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Seasonal Agricultural Survey used two questionnaires:
1) Screening Questionnaire: Screening questionnaire is used to collect information on the delineated plot. This information is mainly related to land use, plot area and crop cultivated.
2) Plot Questionnaire: Plot questionnaire is used to collect information mainly related to crop production, inputs used (seeds, fertilizers and pesticides), and agricultural practices in the sampled plots.

Cleaning operations
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CAPI data collection method allows enumerators to collect and enter data using tablets and send those data to the server at headquarter where data are received by NISR staff, checked for consistency and thereafter transmitted to analysts for tabulation and reporting using STATA Excel software.

摘要
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季节性农业调查的主要目标是为卢旺达的农业结构提供及时、准确、可靠且全面的数据统计，这主要涉及土地利用、作物面积、产量以及作物生产，以监控当前的农业和粮食供应状况，并促进基于证据的农业部门发展决策。
卢旺达国家统计局（NISR）自2012年起开展季节性农业调查，旨在估算全国农业作物面积和生产估计。在2020/2021农业年度，NISR进行了涵盖三个农业季节的季节性农业调查（SAS）。SAS提供的信息作为工具，用以协助解决关键的农业问题，满足信息需求，并为政策制定者和其他利益相关者提供信息，从而更有效地识别优先干预需求。
地理覆盖范围
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全国覆盖
分析单元
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农业用地
数据类型
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样本调查数据 [ssd]
抽样程序
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在5个定义的农业层级中，仅考虑了主导的山地作物土地层级、主导湿地作物土地层级、主导牧场土地层级和混合层级作为农业潜力土地。剩余的层级为非农业用地。请注意，由于上述原因，茶园覆盖的区域样本框架未予考虑。因此，在上述4个层级上进行区域样本调查，以涵盖其他主要作物。在2021农业年度，使用的总样本量为1200个段落。
第一阶段，根据Bankier2（1988）的权力分配方法，在区级层面选择了1200个段落。每个区内的抽样段落在层级之间按照面积比例分配。
第二阶段，系统地选择了25个样本点，点与点之间的特殊距离为60米。样本点是每个段落的报告单位，调查员会前往每个点，定位并绘制样本点所在的田地，并收集土地利用及相关信息。记录的信息代表了整个段落的特征，这些特征被外推到层级水平，因此每个区内的层级组合提供了与区域面积相关的统计数据。
数据收集方式
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计算机辅助个人访谈 [capi]
研究工具
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季节性农业调查使用了两种问卷：
1) 筛选问卷：筛选问卷用于收集关于划定的田地的信息。这些信息主要与土地利用、田地面积和种植的作物相关。
2) 田地问卷：田地问卷用于收集主要与作物生产、使用投入品（种子、肥料和杀虫剂）以及抽样田地的农业实践相关的信息。
数据清理操作
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计算机辅助个人访谈数据收集方法允许调查员使用平板电脑收集和输入数据，并将这些数据发送到总部服务器，由NISR工作人员接收，检查一致性，之后将这些数据传输给分析师，使用STATA Excel软件进行汇总和报告。