Philippines - Crops Production Survey 2017
Reference ID | PHL-PSA-CrPS-2017-v1.0 |
Year | 2017 |
Country | Philippines |
Producer(s) | Philipine Statistics Authority (PSA) - National Economic and Development Authority (NEDA) |
Sponsor(s) | Government of the Philippines - GOP - Full funding |
Collection(s) | |
Metadata |
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Created on
Jun 14, 2019
Last modified
Jun 14, 2019
Page views
19519
Sampling
Sampling Procedure
The survey employs two-stage sampling design with 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 municipalities based on the volume of production were chosen as primary sampling units (PSUs). In each 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 municipalities were chosen as PSUs. In each municipality, three sample farmer-producers as were enumerated as ssu.
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/or harvests during the reference quarter.
Classification for large farms is based on the cut-off on area planted. Each survey round covers a maximum of 5 large farms by crop. The above scheme was adopted since 2005 to date.
Response Rate
Not available
Weighting
Responses on actual levels from the respondents are summarized and the overall change at the provincial level is estimated for each crop separately for large and for small farms. The overall percent change for the province accounts for both large and small farms and are computed based on their relative contributions of area planted in the province. These levels of contribution are discussed, reviewed and validated by the Provincial Statistical Officers (PSOs) and their staff.