Monthly Palay and Corn Situation Reporting System 2009
Philippines, 2009
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Reference ID
PHL_2009_MPCSRS_v01_EN_M_v01_A_OCS
Producer(s)
Bureau of Agricultural Statistics (BAS)
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Metadata
Created on
May 21, 2020
Last modified
Jan 31, 2023
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Identification
Survey ID Number
PHL_2009_MPCSRS_v01_EN_M_v01_A_OCS
Title
Monthly Palay and Corn Situation Reporting System 2009
Country
| Name | Country code |
|---|---|
| Philippines | PHL |
Study type
Agricultural Survey [ag/oth]
Series Information
The Monthly Palay and Corn Situation Reporting System (MPCSRS) is conducted on a monthly basis except for the months of January, April, July and October when the Palay and Corn Production Survey (PCPS) is conducted. The monthly series of data covers February, March, May, June, August, September and November. The MPCSR started in 1985 and has been sustained until this time. The initial coverage was the major palay producing provinces until it was implemented in all provinces nationwide.
Abstract
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 System (MPCSRS) 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 MPCSRS, 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.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Agricultural holdings
Scope
Notes
The MPCSRS questionnaire has four sections: Section A, Section B, Section B1 and Section B2.
Section A of the questionnaire contains the sample identification which includes the geographic ID of the region, province, municipality, barangay, stratum, replicate and the reference quarter.
Section B contains information on the update of current quarter area and production of standing crop/ planting intentions. This section also contains the household area enumeration code, complete name of sample agricultural operator, sample status code and the first name of the respondent.
Section B1 of the questionnaire contains the information on the current quarter area and production of standing crop aside from the household code, name of the sample, sample status and the respondent name. 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.
In Section B2, accounts for household code, and planting intentions. The information on planting intentions consist of the type of ecosystem, area on the actual plantings for vegetative, reproductive, maturing stages, expected month of harvest and reasons for material change in area.
Section A of the questionnaire contains the sample identification which includes the geographic ID of the region, province, municipality, barangay, stratum, replicate and the reference quarter.
Section B contains information on the update of current quarter area and production of standing crop/ planting intentions. This section also contains the household area enumeration code, complete name of sample agricultural operator, sample status code and the first name of the respondent.
Section B1 of the questionnaire contains the information on the current quarter area and production of standing crop aside from the household code, name of the sample, sample status and the respondent name. 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.
In Section B2, accounts for household code, and planting intentions. The information on planting intentions consist of the type of ecosystem, area on the actual plantings for vegetative, reproductive, maturing stages, expected month of harvest and reasons for material change in area.
Topics
Keywords
| Keyword |
|---|
| Palay |
| Corn |
| Reproductive |
| Vegetative |
| Maturing |
| Ecosystem |
| Area |
| Production |
| Standing crop |
| Planting intentions |
Coverage
Geographic Coverage
National coverage
Universe
MPCSRS covers palay and corn farming households with at least 0.100 hectare or 1000 square meters of operation.
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Bureau of Agricultural Statistics (BAS) | Department of Agriculture (DA) |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| Bureau of Agricultural Statistics | BAS | Funding |
Sampling
Sampling Procedure
The MPCSRS 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 MPCSRS.
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 MPCSRS.
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
1. Response rate for Palay Samples = 92.59 %
2. Response rate for Corn Samples = 100 %
2. Response rate for Corn Samples = 100 %
Weighting
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
Dates of 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 |
Data Collection Mode
Face-to-face paper [f2f]
Data Processing
Data Editing
Manual coding and editing are done at the Provincial Operations Centers (POCs). 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. At the Central Office, another round of editing is undertaken. This activity is done to check that the data file is totally clean.
The output tables generated from the clean data files are converted to Excel files to facilitate further data analysis. 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.
The output tables generated from the clean data files are converted to Excel files to facilitate further data analysis. 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.
Access policy
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Director | Bureau of Agricultural Statistics | [email protected] | Link |
Confidentiality
The Bureau of Agricultural Statistics (BAS) strictly observes the confidentiality of data. As stated in the BAS' survey questionnaires and the forms relevant to the conduct of any statistical inquiry, data provided by the respondents shall be used solely for statistical purposes.
Access conditions
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.
Citation requirements
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
Disclaimer
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.
Metadata production
DDI Document ID
DDI_PHL_2009_MPCSRS_v01_EN_M_v01_A_OCS_FAO
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Office of the Chief Statistician | OCS | Food and Agriculture Organization | Metadata adapted for FAM |
| Rodrigo N. Labuguen | BAS | Bureau of Agricultural Statistics | Documentation of the study |
DDI Document version
PHL_2009_MPCSRS_v01_EN_M_v01_A_OCS_v01