Monthly Palay and Corn Situation Reporting 2009
Philippines, 2009
Reference ID
PHL-BAS-MPCSR-2009-v2.0
Producer(s)
Bureau of Agricultural Statistics (BAS)
Metadata
Created on
Sep 14, 2021
Last modified
Sep 14, 2021
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Identification
Monthly Palay and Corn Situation Reporting 2009
Name | Abbreviation |
---|---|
Philippines | PHL |
PHL-BAS-MPCSR-2009-v2.0
The Bureau of Agricultural Statistics (BAS) has been monitoring the palay and corn situation in the country through a monthly palay and corn situation reporting (MPCSR) system since 1985. The activity aims primarily to update the forecasts (based on standing crop and planting intentions) generated through the Palay and Corn Production Survey (PCPS). Based on the findings of the MPCSR, the BAS submits a memorandum to the office of the Secretary, Department of Agriculture to inform him of the latest production status of palay and corn.
Sample survey data [ssd]
Palay and corn farms
Version
V2.0 - household level data edited at the Central Office, not anonymized, for internal use only.
2009-07-21
This version is Central Office edited and intended for internal purposes only.
Scope
Topic | Vocabulary | URI |
---|---|---|
plant and animal distribution [9.4] | CESSDA | http://www.nesstar.org/rdf/common |
agricultural, forestry and rural industry [2.1] | CESSDA | http://www.nesstar.org/rdf/common |
keyword | URI |
---|---|
Palay | |
Corn | |
Reproductive | |
Vegetative | |
Maturing | |
Ecosystem | |
Area | |
Production | |
Standing crop | |
Planting intentions |
Coverage
National coverage
Barangay level aggregation
Palay and corn farms
MPCSR covers palay and corn farming households with at least 0.100 hectare or 1000 square meters of operation.
Producers and sponsors
Name | Abbreviation | Role |
---|---|---|
Bureau of Agricultural Statistics | BAS |
Sampling
The MPCSR is conducted monthly in between the Palay Production Survey (PPS)/Corn Production Survey (CPS) rounds, making use of one replicate of the PPS/PCS as sample such that:
For pure palay provinces, one replicate consisting of ten (10) barangays is taken from the PPS samples
For pure corn provinces, one replicate consisting of ten (10) barangays is taken from the CPS samples
For overlap (that is palay and corn) provinces, five (5) barangays is taken from the PPS and another five (5) barangays are taken from the CPS samples yielding only one sample of barangays for the province.
For minor palay or corn provinces, one replicate consisting of five (5) barangays are taken as samples.
For non-corn provinces, one replicate of the PPS barangay samples is taken as samples for the MPCSR.
All households in the selected barangays are enumerated. Currently, the MPCSR has a total sample size of 680 barangays nationwide.
The replicates are selected using probability proportional to size based on total palay/corn areas.
Details of the documentation of the Palay Production Survey (PPS) and Corn Production Survey (CPS) sampling procedure can be viewed from the BAS Electronic Archiving and Network Services, http://beans.bas.gov.ph.
For pure palay provinces, one replicate consisting of ten (10) barangays is taken from the PPS samples
For pure corn provinces, one replicate consisting of ten (10) barangays is taken from the CPS samples
For overlap (that is palay and corn) provinces, five (5) barangays is taken from the PPS and another five (5) barangays are taken from the CPS samples yielding only one sample of barangays for the province.
For minor palay or corn provinces, one replicate consisting of five (5) barangays are taken as samples.
For non-corn provinces, one replicate of the PPS barangay samples is taken as samples for the MPCSR.
All households in the selected barangays are enumerated. Currently, the MPCSR has a total sample size of 680 barangays nationwide.
The replicates are selected using probability proportional to size based on total palay/corn areas.
Details of the documentation of the Palay Production Survey (PPS) and Corn Production Survey (CPS) sampling procedure can be viewed from the BAS Electronic Archiving and Network Services, http://beans.bas.gov.ph.
Response rate for Palay Samples = 92.59 %
Response rate for Corn Samples = 100 %
Response rate for Corn Samples = 100 %
Sample weights are applied to all variables at the household-level. These are determined as a function of the uniform raising factor for the province, denoted by Rk, and the adjusted household weights.
Rk is computed from the following characteristics: average total area planted to palay/corn per stratum, average total area planted to palay/corn per barangay, average number of farming households per barangay, average number of sample farming households per barangay and average number of sample barangays per stratum.
Sample size for the sample barangay is determined based on the following information: Rk, total number of farm households in the sample barangay, total palay/corn area of the sample barangay, aggregate palay/corn area in the stratum and number of sample barangays in the stratum.
For operational purposes, sample size per barangay is limited to a minimum of four (4) and a maximum of 25. To correct for this limitation, the use of a uniform sample weight for all sample households in the same sample barangay is instituted. Household weights are determined as a function of the computed sample size and the 'desired' sample size for the barangay, that is:
a) 1.00 if the computed sample size is between 4 and 25;
b) less than 1.00 if computed sample size is less than 4
c) more than 1.00 if computed sample size is more than 25,and
d) based on computed sample size and number of farming households in the barangay if computed sample size is less than 25 and said sample size is greater than total number of farming households in the barangay.
Household weights are encoded together with other household level data. In the course of data table generation, weighting adjustment is being done to correct for unit non-response such as refusals, not-at-home, unknown and transferred to another barangay.
Computation of adjusted household weights as well as the final weight is done for each sample barangay. The adjusted weight is calculated as the product of the original household weight and the inverse of the actual response rate for the barangay. Afterwards, the final weight is determined by multiplying the adjusted weight by Rk.
Details of the above discussion are provided in the documentation of the Palay Production Survey (PPS) and Corn Production Survey (CPS) in the BAS Electronic Archiving and Network Services, http://beans.bas.gov.ph.
Rk is computed from the following characteristics: average total area planted to palay/corn per stratum, average total area planted to palay/corn per barangay, average number of farming households per barangay, average number of sample farming households per barangay and average number of sample barangays per stratum.
Sample size for the sample barangay is determined based on the following information: Rk, total number of farm households in the sample barangay, total palay/corn area of the sample barangay, aggregate palay/corn area in the stratum and number of sample barangays in the stratum.
For operational purposes, sample size per barangay is limited to a minimum of four (4) and a maximum of 25. To correct for this limitation, the use of a uniform sample weight for all sample households in the same sample barangay is instituted. Household weights are determined as a function of the computed sample size and the 'desired' sample size for the barangay, that is:
a) 1.00 if the computed sample size is between 4 and 25;
b) less than 1.00 if computed sample size is less than 4
c) more than 1.00 if computed sample size is more than 25,and
d) based on computed sample size and number of farming households in the barangay if computed sample size is less than 25 and said sample size is greater than total number of farming households in the barangay.
Household weights are encoded together with other household level data. In the course of data table generation, weighting adjustment is being done to correct for unit non-response such as refusals, not-at-home, unknown and transferred to another barangay.
Computation of adjusted household weights as well as the final weight is done for each sample barangay. The adjusted weight is calculated as the product of the original household weight and the inverse of the actual response rate for the barangay. Afterwards, the final weight is determined by multiplying the adjusted weight by Rk.
Details of the above discussion are provided in the documentation of the Palay Production Survey (PPS) and Corn Production Survey (CPS) in the BAS Electronic Archiving and Network Services, http://beans.bas.gov.ph.
Data Collection
Start | End | Cycle |
---|---|---|
2009-02-01 | 2009-02-05 | Februay 2009 |
2009-03-01 | 2009-03-05 | March 2009 |
2009-05-01 | 2009-05-05 | May 2009 |
2009-06-01 | 2009-06-05 | June 2009 |
2009-08-01 | 2009-08-05 | August 2009 |
2009-09-01 | 2009-09-05 | September 2009 |
2009-11-01 | 2009-11-05 | November 2009 |
Face-to-face [f2f]
The MPCSR questionnaire covers Block A, Block B, Block B1 and Block B2.
Block A (Sample Identification) consists of the geographic ID of the region, province, municipality, barangay, stratum, replicate and the reference quarter.
Block B (Update of Current Quarter Area and Production of Standing Crop / Planting Intentions) identifies the enumeration area code, household serial number, name of the sample agricultural operator, sample status and the name of the respondent are defined.
Block B1 (Current Quarter's Area and Production based on Standing Crop) of the questionnaire contains the information on the current quarter area and production of standing crop. The current area and production include the type of ecosystem, major type of palay/corn seed used, area harvested, area of crop on vegetative stage, area of crop on reproductive stage, area of crop on maturing stage, production forecast and reasons for material change in area and production.
Block B2 (Update on the Current Quarter's Planting Intentions) includes data variables like the household code, types of ecosystem, area on the actual plantings for Vegetative, Reproductive, Maturing stages, expected month of harvest and reasons for material change in area.
Block A (Sample Identification) consists of the geographic ID of the region, province, municipality, barangay, stratum, replicate and the reference quarter.
Block B (Update of Current Quarter Area and Production of Standing Crop / Planting Intentions) identifies the enumeration area code, household serial number, name of the sample agricultural operator, sample status and the name of the respondent are defined.
Block B1 (Current Quarter's Area and Production based on Standing Crop) of the questionnaire contains the information on the current quarter area and production of standing crop. The current area and production include the type of ecosystem, major type of palay/corn seed used, area harvested, area of crop on vegetative stage, area of crop on reproductive stage, area of crop on maturing stage, production forecast and reasons for material change in area and production.
Block B2 (Update on the Current Quarter's Planting Intentions) includes data variables like the household code, types of ecosystem, area on the actual plantings for Vegetative, Reproductive, Maturing stages, expected month of harvest and reasons for material change in area.
Name | Abbreviation | Affiliation |
---|---|---|
Bureau of Agricultural Statistics | BAS | Department of Agriculture |
Data Processing
Manual coding and editing are done at the Provincial Operations Centers (POCs).
Provincial Level Editing
At the POCs, during the electronic data processing, checking of household serial numbers based on the masterlist of samples, consistency checks based on data ranges, and consistency checks against other data variables within the questionnaire are done by running an editing program. A completeness check program is also run to check if all sample respondents are accounted for.
Central Office Editing
At the Central Office, another round of editing is undertaken. This activity is done to check that the data file is totally clean.
Provincial Level Editing
At the POCs, during the electronic data processing, checking of household serial numbers based on the masterlist of samples, consistency checks based on data ranges, and consistency checks against other data variables within the questionnaire are done by running an editing program. A completeness check program is also run to check if all sample respondents are accounted for.
Central Office Editing
At the Central Office, another round of editing is undertaken. This activity is done to check that the data file is totally clean.
Data Appraisal
The estimates generated from the clean MPCSR data are reviewed at the provincial level before submitting to the Central Office.
At the Central Office, the estimates are subjected to review and validation.
At the Central Office, the estimates are subjected to review and validation.
Data access
Name | Affiliation | URI | |
---|---|---|---|
Director | (Bureau of Agricultural Statistics) | rsrecide@bas.gov.ph | bas.gov.ph |
The datasets of this study are categorized under licensed files. Access to licensed datasets is through request and is only granted to Data Users/Researchers with a legally registered sponsoring agency (university, company, research centre, national or international organization, etc.).
The Data Users/Researchers must agree to comply with the following:
1. Fill up a Data Access Agreement that will be provided.
2. Copies of the restricted data or any data created on the basis of the original data will not be copied or made available to anyone other than those mentioned in this Data Access Agreement, unless formally authorized by the BAS.
3. The data will only be processed for the stated statistical purpose in the agreement and not for investigation of specific individuals or organizations. Data will not in any way be used for any administrative, proprietary or law enforcement purposes.
4. The dataset must not be made to match with other datasets.
5. The Data Users/Researchers shall not attempt to identify any individual person, family, business, enterprise or organization. If such a unique disclosure is made inadvertently, no use will be made as to the identity of any person or establishment discovered. The identification will not be revealed to any other person not included in the Data Access Agreement.
6. The Data Users/Researchers must observe security measures to prevent unauthorized access to licensed microdata acquired from the BAS. The microdata must be destroyed upon the completion of their research. Destruction of the microdata will be confirmed in writing by the Data Users/Researchers to the BAS.
7. Any books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from the BAS/BAS Electronic Archiving and Network Services (BEANS) will cite the source of data in accordance with the citation requirement provided with the dataset.
8. If there are any changes or additional requirements in the orginal request, the Data ser/Researcher must apply for another request.
9. Breaches of the Data Access Agreement will be taken seriously and the BAS will take action against those responsible for the lapses if wilful or accidental. Failure to comply with the directions of the BAS will be deemed to be a major breach of the agreement and may involve recourse to legal proceedings. The BAS will maintain and share with partner data archives a record of those individuals and organizations which are responsible for breaching the terms of the Data Access Agreement and will impose sanctions on release of future data to these parties.
The Data Users/Researchers must agree to comply with the following:
1. Fill up a Data Access Agreement that will be provided.
2. Copies of the restricted data or any data created on the basis of the original data will not be copied or made available to anyone other than those mentioned in this Data Access Agreement, unless formally authorized by the BAS.
3. The data will only be processed for the stated statistical purpose in the agreement and not for investigation of specific individuals or organizations. Data will not in any way be used for any administrative, proprietary or law enforcement purposes.
4. The dataset must not be made to match with other datasets.
5. The Data Users/Researchers shall not attempt to identify any individual person, family, business, enterprise or organization. If such a unique disclosure is made inadvertently, no use will be made as to the identity of any person or establishment discovered. The identification will not be revealed to any other person not included in the Data Access Agreement.
6. The Data Users/Researchers must observe security measures to prevent unauthorized access to licensed microdata acquired from the BAS. The microdata must be destroyed upon the completion of their research. Destruction of the microdata will be confirmed in writing by the Data Users/Researchers to the BAS.
7. Any books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from the BAS/BAS Electronic Archiving and Network Services (BEANS) will cite the source of data in accordance with the citation requirement provided with the dataset.
8. If there are any changes or additional requirements in the orginal request, the Data ser/Researcher must apply for another request.
9. Breaches of the Data Access Agreement will be taken seriously and the BAS will take action against those responsible for the lapses if wilful or accidental. Failure to comply with the directions of the BAS will be deemed to be a major breach of the agreement and may involve recourse to legal proceedings. The BAS will maintain and share with partner data archives a record of those individuals and organizations which are responsible for breaching the terms of the Data Access Agreement and will impose sanctions on release of future data to these parties.
As specified in the agreement under access conditions, users are required to cite the source of data in accordance with the citation requirement provided with the dataset. The citation requirement for this study is as follows:
"Bureau of Agricultural Statistics, Monthly Palay and Corn Situation Reporting 2009, Version1 of the licensed dataset (August 2009), provided by the BAS Electronic Archiving and Network Services. http://beans.bas.gov.ph"
"Bureau of Agricultural Statistics, Monthly Palay and Corn Situation Reporting 2009, Version1 of the licensed dataset (August 2009), provided by the BAS Electronic Archiving and Network Services. http://beans.bas.gov.ph"
Disclaimer and copyrights
The data users/researchers acknowledge that the BAS and the agency funding the study bear no liabilities and responsibilities for any particular, indirect, or consequential damages or any damages, whatsoever resulting from loss of use, or of data in connection with the use or for interpretations or inferences based upon such uses.
Copyright 2008-2009 © Bureau of Agricultural Statistics, All rights reserved.
contacts
Name | Affiliation | URI | |
---|---|---|---|
Director | Bureau of Agricultural Statistics | info@bas.gov.ph | http://beans.bas.gov.ph |