Crops Production Survey 2019 - Philippines

Abstract
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The 2019 CrPS is conducted quarterly to generate production estimates for crops other than palay and corn at the national, regional and provincial levels disaggregation. Production data generated from the CrPS are inputs to the Performance of Agriculture Report (PAR) and to the preparation of the Gross Domestic Product (GDP). Moreover, the survey aims to support the data needs of planners, policy and decision makers and other stakeholders in the agricultural sector, and to provide periodic updates on crop related developments.

Of the 282 crops covered, the individual estimates of the 19 crops highlighted in the quarterly PAR are released at the national level, while the rest were lumped as Others. Provincial level estimates are available on an annual basis.

The survey adopts two-stage sampling with the city/municipality as the primary sampling unit and the households as the secondary sampling unit.

Geographic coverage
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National and Regional

Analysis unit
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Agricultural holdings

Universe
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All small and large farms/farmer-producers of all agricultural crops, other than palay and corn, nationwide.

Kind of data
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Sample survey data [ssd]

Sampling procedure
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The survey employs two-stage sampling design with city/municipality as the primary sampling unit (psu) and farmer-producer as the secondary sampling unit (ssu). Farms are classified as small and large farms according to the area planted to a specific crop.

For small farms, crops are classified based on coverage of the Farm Price Survey (FPS), i.e. FPS and non-FPS. For crops under FPS, the top five producing cities/municipalities based on the volume of production were chosen as psus. In each city/municipality, five sample farmer-producers were enumerated as ssus.

For small farms of all other crops not covered under FPS, top two to three producing cities/municipalities were chosen as psus. In each city/municipality, three sample farmer-producers as were enumerated as ssus.

This scheme is applied to each of the crops being covered every survey round. It is possible for a farmer-producer to be a respondent for several crops which he plants and harvests during the reference quarter and same period of last year.

Classification for large farms is based on the cut-off on area planted. Each survey round covers a maximum of five large farms by crop. The above scheme was adopted since 2005 to date.

Mode of data collection
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Face-to-face [f2f]

摘要
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2019年季度作物生产调查（CrPS）旨在生成除稻米和玉米之外的国家、地区和省级别农业生产估计值。由CrPS生成的生产数据是农业绩效报告（PAR）和国内生产总值（GDP）编制的输入数据。此外，该调查旨在满足规划者、政策制定者和其他农业领域利益相关者的数据需求，并提供作物相关发展的定期更新。
在涵盖的282种作物中，19种在季度PAR中被特别强调的作物在全国范围内发布了个别估计值，其余作物则归类为其他。省级别估计值每年提供。
调查采用两阶段抽样，以城市/镇为一级抽样单位，以农户为二级抽样单位。
地理覆盖范围
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全国及区域
分析单元
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农业经营单位
总体
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全国所有的小型和大型农业作物种植户/生产者，不包括稻米和玉米。
数据类型
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样本调查数据 [ssd]
抽样程序
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调查采用两阶段抽样设计，以城市/镇作为一级抽样单位（psu），以农民/生产者作为二级抽样单位（ssu）。根据特定作物的种植面积，将农场划分为小型和大型农场。
对于小型农场，作物分类基于农场价格调查（FPS）的覆盖范围，即FPS和非FPS。对于FPS下的作物，根据产量量选择生产量排名前五的城市/镇作为psu。在每个城市/镇中，选取五名样本农民/生产者作为ssu。
对于FPS未涵盖的所有其他作物的小型农场，选择生产量排名前二至三的城市/镇作为psu。在每个城市/镇中，选取三名样本农民/生产者作为ssu。
此方案适用于每次调查周期中的每种作物。农民/生产者可能在其参考季度和去年同一时期种植和收获的多种作物中作为受访者。
大型农场的分类基于种植面积的截止值。每个调查周期涵盖每种作物最多五家大型农场。自2005年以来，一直采用上述方案。
数据收集方式
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面对面 [f2f]