Abstract

The objective of the survey is to generate estimates on current stock of rice and corn in farming and non-farming households. The data generated from the survey seek to:

1. serve as input in the analysis of the seasonal trends and variations in the supply of rice and corn;

2. serve as input for forecasting future supply and demand of palay and corn; and

3. assist policy-makers in the formulation, implementation and administration of agricultural economic programs.

Geographic coverage

The survey covers seventy-nine (79) provinces (including Dinagat Islands), two (2) chartered cities (Davao City and Zamboanga City), and National Capital Region

Analysis unit

Households

Universe

Farming and non-farming households

Kind of data

Sample survey data [ssd]

Sampling procedure

The PCSS is a sub-sample of the Palay and Corn Production Survey (PCPS) which employs a two-stage stratified sampling design with the barangay as the primary sampling unit (psu) and the household as the secondary sampling unit (ssu). One replicate of the PPS and CPS sample barangays is selected to represent PCSS sample barangays since PPS and CPS covers only farming households, five (5) non-farming households are added to the PCCS sample households in the sample barangays of the province. Non-farming households are selected through simple random sampling.

The PCSS in NCR covers only non-farming households with two-stage sampling design. Two (2) sample barangays are chosen in each city/municipality with five (5) sample households. Selection of samples is done using simple random sampling.

Mode of data collection

Face-to-face [f2f]

Abstract

The objective of the survey was to generate estimates on current stock of rice and corn in farming and non-farming households. The data generated from the survey seek to: 1. serve as input in the analysis of the seasonal trends and variations in the supply of rice and corn; 2. serve as input for forecasting future supply and demand of palay and corn; and 3. assist policy-makers in the formulation, implementation and administration of agricultural economic programs.

Geographic coverage

National Coverage.

Analysis unit

Households

Universe

Farming and non-farming households

Kind of data

Sample survey data [ssd]

Sampling procedure

The domain of the survey is the province. The sampling procedure used in the Palay and Corn Stocks Survey 1 (PCSS-1) makes use of one replicate of the Palay and Corn Production Survey (PCPS). Sample selection is done in two stages: at the barangay level and at the household level. The province's classification is taken into consideration in the classification of barangays sampled.

• For pure palay provinces, or provinces whose major crop is palay, all the 10 sample barangays from one replicate of the Palay Production Survey (PPS) are covered.
• For pure corn provinces, or provinces whose major crop is corn, all the 10 sample barangays from one replicate of the Corn Production Survey (CPS) are covered.
• For palay and corn (overlap) provinces, or provinces where both palay and corn are the major crops, five (5) barangays are drawn from the PPS sample barangays and another five (5) from the CPS sample barangays.
• For minor provinces, or provinces whose major crop is neither palay nor corn, five (5) sample barangays are drawn.

In the selection of sample households, the PCSS-1 incorporated non-farming households, in addition to farming households of the PCPS. Selection of the five (5) non-farming households was done using simple random sampling.

Mode of data collection

Face-to-face paper [f2f]

Cleaning operations

Completed questionnaires were edited, compiled and summarized by the field staff. Initial estimates of stocks of palay and corn for the barangay (raw data) and province, were also computed using the prescribed estimation procedure.

The processing of the data from the Palay and Corn Stocks Survey-1 (PCSS-1) is decentralized. In the POs, this was done manually and results derived were processed using an Excel-based processing system developed at the Cereals Statistics Section (CSS) of the central office. The resulting provincial estimates were summarized using the prescribed format and forwarded to the central office for review and consolidation.