Crops Production Survey 2018 - Philippines

Abstract
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The 2018 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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2018年作物产量估计季度调查（CrPS）旨在为国家、区域及省级行政单位提供除稻米和玉米之外其他作物的产量估计。由CrPS生成的产量数据是农业绩效报告（PAR）以及国内生产总值（GDP）编制的输入数据。此外，该调查旨在满足规划者、政策制定者及其他农业领域利益相关者的数据需求，并为作物相关发展提供定期更新。

在涵盖的282种作物中，季度PAR中强调的19种作物的个别估计值在国家层面发布，其余作物则归为其他。省级行政单位的估计值按年度提供。

该调查采用两阶段抽样设计，以市/镇作为一级抽样单位，以农户作为二级抽样单位。

地理覆盖范围
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全国及区域

分析单位
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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中型农业作物种植户/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，以市/镇作为一级抽样单位（psu），以农户作为二级抽样单位（ssu）。根据特定作物的种植面积，将农场划分为小型农场和大型农场。

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，根据产量量选择前五个生产市/镇作为psu。在每一个市/镇中，选定五个样本农户作为ssu。

对于FPS未涵盖的所有其他作物的小型农场，选择前两个或三个生产市/镇作为psu。在每一个市/镇中，选定三个样本农户作为ssu。

此方案适用于每个调查周期内涵盖的每种作物。一个农户生产者可能成为多个作物在参考季度及其去年同期种植和收获的回应者。

大型农场的分类基于种植面积的限制。每个调查周期内，每种作物最多涵盖五个大型农场。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]