Palay and Corn Stocks Survey 1 2016
Philippines, 2016
Reference ID
PHL-PSA-PCSS1-2016-v1.0
Producer(s)
Philippine Statistics Authority (PSA)
Metadata
Created on
Oct 12, 2021
Last modified
Oct 12, 2021
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Identification
Palay and Corn Stocks Survey 1 2016
Name | Abbreviation |
---|---|
Philippines | PHL |
PHL-PSA-PCSS1-2016-v1.0
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.
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.
Sample survey data [ssd]
The survey has farming and non-farming households as units of analysis.
Version
V1.0: Division edits for preliminary estimates computation (raw, first output)
2017-01-10
Scope
Topic | Vocabulary | URI |
---|---|---|
Agriculture, forestry, fisheries | Philippine Statistics Authority |
Coverage
The survey covers seventy-nine (79) provinces (including Dinagat Islands), two (2) chartered cities (Davao City and Zamboanga City), and National Capital Region National
Barangay
The survey has farming and non-farming households as units of analysis.
Farming and non-farming households
Producers and sponsors
Name | Abbreviation | Role |
---|---|---|
Government of the Philippines | GOP | Full funding |
Name | Affiliation | Role | |
---|---|---|---|
National Food Authority (NFA) | Department of Agriculture (DA) | Partner agency/Stakeholder |
Sampling
The domain of the survey is the province. The sampling procedure used in the Palay and Corn Stocks Survey 1 (PCSS1) 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 (SSU), the PCSS1 incorporated non-farming households, in addition to farming households of the PCPS. Selection of the five (5) non-farming households was using simple random sampling.
- 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 (SSU), the PCSS1 incorporated non-farming households, in addition to farming households of the PCPS. Selection of the five (5) non-farming households was using simple random sampling.
The expansion factor of the PCSS1 is based on the number of farming and non-farming households from the 1991 Census on Agriculture and Fishery (CAF) which is updated in July every year using the projected midyear population estimate.
Data Collection
Start | End | Cycle |
---|---|---|
2016-01-01 | 2016-01-04 | January |
2016-02-01 | 2016-02-04 | February |
2016-03-01 | 2016-03-04 | March |
2016-04-01 | 2016-04-04 | April |
2016-05-01 | 2016-05-01 | May |
2016-06-01 | 2016-06-04 | June |
2016-07-01 | 2016-07-04 | July |
2016-08-01 | 2016-08-04 | August |
2016-09-01 | 2016-09-04 | September |
2016-10-01 | 2016-10-04 | October |
2016-11-01 | 2016-11-04 | November |
2016-12-01 | 2016-12-04 | December |
Start | End | Cycle |
---|---|---|
2016-01-01 | 2016-01-31 | February round |
2016-02-01 | 2016-02-29 | March round |
2016-03-01 | 2016-03-31 | April round |
2016-04-01 | 2016-04-30 | May round |
2016-05-01 | 2016-05-31 | June round |
2016-06-01 | 2016-06-30 | July round |
2016-07-01 | 2016-07-31 | August round |
2016-08-01 | 2016-08-31 | September round |
2016-09-01 | 2016-09-30 | October round |
2016-10-01 | 2016-10-31 | November round |
2016-11-01 | 2016-11-30 | December round |
2016-12-01 | 2016-12-31 | January round |
Face-to-face [f2f]
In the field, the Regional Director (RD) is responsible for the monitoring and supervision of the survey of all provinces within the region. At the provincial level, the overall supervisor is the Provincial Statistical Officer (PSO). The Supervising Statistical Officer, aside from his/her assignment as assistant supervisor in the province, may be given a specific area of supervision, upon the discretion of the PSO. On the other hand, the Provincial Office (PO) staff are tapped to gather the needed information for the survey.
In order to minimize non-sampling errors, quality control measures are instituted at various phases of the activity. Rounds of reviews are made before the survey instruments are reproduced for field operations. During field operations, much attention is given to the conduct of training to ensure that the procedures and concepts are correctly understood. Mock interviews and dry-run exercises are made part of the training.
Close supervision is a must during data collection. Part of the PSO's job as field supervisor is the conduct of back-checking activity. The procedure involves re-contacting of respondents to check some details regarding the interview and the interviewer. The objective is to find out if data collection was indeed conducted and if so, determine the extent of the difference between the respondent's answers during the data collection proper and the back-checking activity.
Item-by-item checks on the consistency, completeness and acceptability of the data are done during and after data collection, before the results are summarized. Once table generation is done, series of reviews on the results follow before the data are finally presented and disseminated.
In order to minimize non-sampling errors, quality control measures are instituted at various phases of the activity. Rounds of reviews are made before the survey instruments are reproduced for field operations. During field operations, much attention is given to the conduct of training to ensure that the procedures and concepts are correctly understood. Mock interviews and dry-run exercises are made part of the training.
Close supervision is a must during data collection. Part of the PSO's job as field supervisor is the conduct of back-checking activity. The procedure involves re-contacting of respondents to check some details regarding the interview and the interviewer. The objective is to find out if data collection was indeed conducted and if so, determine the extent of the difference between the respondent's answers during the data collection proper and the back-checking activity.
Item-by-item checks on the consistency, completeness and acceptability of the data are done during and after data collection, before the results are summarized. Once table generation is done, series of reviews on the results follow before the data are finally presented and disseminated.
The survey uses a structured questionnaire referred to as CSD Form 3a/3b. The questionnaire has two major parts- palay and corn which are further sub divided by product type: for palay (palay and rice) and for corn (corn grain and corn grits).The same questionnaire is used in the monthly surveys.
Name | Abbreviation | Affiliation |
---|---|---|
Philippine Statistics Authority | PSA | National Economic and Development Authority |
Data Processing
Completed survey returns shall be edited, compiled and summarized by the field staff. They shall also compute the initial estimates of stocks of palay and corn for the barangay (raw data) and province using the prescribed estimation procedure.
Data Appraisal
Review is being done based on time series data and is further validated with concerned RDs and PSOs.
Data access
Name | Affiliation | URI | |
---|---|---|---|
National Statistician | Philippine Statistics Authority (PSA) | info@psa.gov.ph | www.psa.gov.ph |
contacts
Name | Affiliation | URI | |
---|---|---|---|
National Statistician | Philippine Statistics Authority (PSA) | info@psa.gov.ph | www.psa.gov.ph |