Farm Prices Survey 2009
Philippines, 2009
Created on
Apr 25, 2019
Last modified
Apr 25, 2019
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Identification
Survey ID Number
PHL_2009_FPS_v01_M
Title
Farm Prices Survey 2009
Country
| Name | Country code |
|---|---|
| Philippines | PHL |
Study type
Agricultural Survey [ag/oth]
Series Information
The monthly collection of prices received by farmers was started in 1957 by the then Division of Agricultural Economics of the Department of Agriculture and Natural Resources (DANR). This has been a continuing activity of the Bureau of Agricultural Statistics (BAS) and its predecessor, Bureau of Agricultural Economics (BAECON).
Abstract
Farm prices refer to the prices received by the farmers and livestock/poultry raisers for the sale of their produce at the first point of sale, regardless of whether these are sold at the farm or elsewhere. These prices are generated through the monthly Farm Prices Survey (FPS).
The survey on prices of agricultural commodities at the farm level has been a continuing activity of the Bureau of Agricultural Statistics (BAS) and its predecessor, Bureau of Agricultural Economics (BAEcon). It was started with the collection of prices received by farmers in 1957 by the then Division of Agricultural Economics of the Department of Agriculture and Natural Resources (DANR). Conceptually, these prices were deemed to represent the average prices received by farmers for the sale of their products of whatever grade or class at the point of first sale.
To ensure the effectiveness of the system of generating and delivering data on farm prices, the Bureau of Agricultural Statistics has been conducting assessment of the Farm Prices Survey methodology from time to time. The main purpose of the assessment is to improve the quality of the price information gathered at the farm level. The 1998 assessment provided inputs to the design of the current Farm Price Survey methodology.
The survey on prices of agricultural commodities at the farm level has been a continuing activity of the Bureau of Agricultural Statistics (BAS) and its predecessor, Bureau of Agricultural Economics (BAEcon). It was started with the collection of prices received by farmers in 1957 by the then Division of Agricultural Economics of the Department of Agriculture and Natural Resources (DANR). Conceptually, these prices were deemed to represent the average prices received by farmers for the sale of their products of whatever grade or class at the point of first sale.
To ensure the effectiveness of the system of generating and delivering data on farm prices, the Bureau of Agricultural Statistics has been conducting assessment of the Farm Prices Survey methodology from time to time. The main purpose of the assessment is to improve the quality of the price information gathered at the farm level. The 1998 assessment provided inputs to the design of the current Farm Price Survey methodology.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
The survey has individual farmers/producers and agricultural commodites as unit of analysis.
Version
Version Description
v2.0: Edited at Central Office-level, not anonymized, for internal use
Version Date
2010-02-05
Scope
Notes
The scope of the Farm Prices Survey includes:
Farm Prices Received by Farmers for Crops
Farm Prices Received by Backyard Raisers of Cattle and Carabaos
Farm Prices Received by Backyard Raisers of Hogs (upgraded)
Farm Prices Received by Backyard Raisers of Goats
Farm Prices Received by Backyard and Commercial Raisers of Chicken and Chicken Eggs
Farm Prices Received by Backyard and Commercial Raisers of Ducks and Duck Eggs
Farm Prices Paid by Farmers for Pesticides
Farm Prices Received by Farmers for Crops
Farm Prices Received by Backyard Raisers of Cattle and Carabaos
Farm Prices Received by Backyard Raisers of Hogs (upgraded)
Farm Prices Received by Backyard Raisers of Goats
Farm Prices Received by Backyard and Commercial Raisers of Chicken and Chicken Eggs
Farm Prices Received by Backyard and Commercial Raisers of Ducks and Duck Eggs
Farm Prices Paid by Farmers for Pesticides
Topics
| Topic | Vocabulary | URI |
|---|---|---|
| agricultural, forestry and rural industry [2.1] | CESSDA | http://www.nesstar.org/rdf/common |
| Food (production, crisis) | World Bank |
Keywords
| Keyword |
|---|
| Farm Prices |
Coverage
Geographic Coverage
National coverage
Regional
Provincial
Regional
Provincial
Geographic Unit
The lowest level of geographic aggregation covered by the data is the province.
Universe
All prices received by farmers for agricultural commodities including crops, livestock, poultry and prices paid for farm chemicals
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Bureau of Agricultural Statistics (BAS) | Department of Agriculture (DA) |
Funding Agency/Sponsor
| Name | Abbreviation |
|---|---|
| Bureau of Agricultural Statistics | BAS |
Sampling
Sampling Procedure
Commodities to be monitored by province are pre-determined based on four (4) criteria, namely: major produce of the province in terms of volume of production; priority crop of the province; national commodity and with the province being one of the major producers; and one of the commodities monitored for the Producers' Price Index (PPI). Determination of the agricultural commodities to be monitored for farm prices shall be done at the Provincial Operations Centers (POCs) and shall be submitted to the Central Office for information and approval.
For crops and backyard livestock and poultry, the farm prices survey utilizes a two-stage sampling procedure with the province as the domain.
The first stage sampling unit is the municipality. It consists of the top five (5) producing municipalities per commodity per province. Selection of these municipalities is done monthly on the assumption that they could change every month for each crop.
The second stage sampling unit is the farmer or livestock/poultry raiser who traded the commodities during the reference period. In each sample municipality, at least five (5) sample farmers or raisers are chosen purposively and interviewed. This two-stage procedure gives the total number of respondents for farm prices survey at 25 per commodity per province.
When less than five (5) municipalities are identified for farm prices survey during the month, the number of samples per municipality is increased to get a provincial total of 25. In the allocation of the number of samples in the municipalities selected, the volume of production and trading during the reference period is considered.
For livestock and poultry commercial farms, the samples are randomly selected from the Commercial Livestock and Poultry Survey (CLPS) master list of establishments for each animal type. Samples are stratified according to the maximum capacity of the farm. Four (4) strata are required to give a total of eight (8) samples for the province. If there are less than four (4) strata in the province, the number of samples per stratum are increased proportionately to get a provincial total of eight (8). In case the total number of farms for each poultry item is less than eight (8), complete enumeration is done.
Respondents for Farm Prices Survey component on pesticides are the dealers of agricultural inputs in the five major crop producing municipalities and in the provincial capital or trading center. Sample dealers of inputs are those most patronized by farmers. One dealer per municipality will be interviewed. In addition, the three (3) major pesticide dealers in the provincial capital or trading center shall be considered as samples. The maximum number of samples per province is eight (8).
For crops and backyard livestock and poultry, the farm prices survey utilizes a two-stage sampling procedure with the province as the domain.
The first stage sampling unit is the municipality. It consists of the top five (5) producing municipalities per commodity per province. Selection of these municipalities is done monthly on the assumption that they could change every month for each crop.
The second stage sampling unit is the farmer or livestock/poultry raiser who traded the commodities during the reference period. In each sample municipality, at least five (5) sample farmers or raisers are chosen purposively and interviewed. This two-stage procedure gives the total number of respondents for farm prices survey at 25 per commodity per province.
When less than five (5) municipalities are identified for farm prices survey during the month, the number of samples per municipality is increased to get a provincial total of 25. In the allocation of the number of samples in the municipalities selected, the volume of production and trading during the reference period is considered.
For livestock and poultry commercial farms, the samples are randomly selected from the Commercial Livestock and Poultry Survey (CLPS) master list of establishments for each animal type. Samples are stratified according to the maximum capacity of the farm. Four (4) strata are required to give a total of eight (8) samples for the province. If there are less than four (4) strata in the province, the number of samples per stratum are increased proportionately to get a provincial total of eight (8). In case the total number of farms for each poultry item is less than eight (8), complete enumeration is done.
Respondents for Farm Prices Survey component on pesticides are the dealers of agricultural inputs in the five major crop producing municipalities and in the provincial capital or trading center. Sample dealers of inputs are those most patronized by farmers. One dealer per municipality will be interviewed. In addition, the three (3) major pesticide dealers in the provincial capital or trading center shall be considered as samples. The maximum number of samples per province is eight (8).
Weighting
The estimation of provincial prices uses quantity sold (from survey data) as weights, while regional and national average prices uses production (from non-FPS data) as weights.
Data Collection
Dates of Data Collection
| Start | End | Cycle |
|---|---|---|
| 2009-01-22 | 2009-01-31 | January 2009 Round |
| 2009-02-19 | 2009-02-28 | February 2009 Round |
| 2009-03-22 | 2009-03-31 | March 2009 Round |
| 2009-04-21 | 2009-04-30 | April 2009 Round |
| 2009-05-22 | 2009-05-31 | May 2009 Round |
| 2009-06-21 | 2009-06-30 | June 2009 Round |
| 2009-07-22 | 2009-07-31 | July 2009 Round |
| 2009-08-22 | 2009-08-31 | August 2009 Round |
| 2009-09-21 | 2009-09-30 | September 2009 Round |
| 2009-10-22 | 2009-10-31 | October 2009 Round |
| 2009-11-21 | 2009-11-30 | November 2009 Round |
| 2009-12-22 | 2009-12-31 | December 2009 Round |
Data Collection Mode
Face-to-face [f2f]
Supervision
The Provincial Agricultural Statistics Officer (PASO) supervises the conduct of survey activities which include sample selection and review of price reports vis-a-vis Farm Prices Survey (FPS) basket and trading schedules.
Data Collection Notes
Collection of data is done monthly, during the last 10 days of the month. The reference period is the whole of the reporting month, where only the latest transaction is recorded.
Data Collectors
| Name | Abbreviation | Affiliation |
|---|---|---|
| Bureau of Agricultural Statistics | BAS | Department of Agriculture |
Questionnaires
Questionnaires
There are seven (7) forms to be used in the Farm Prices Survey, namely:
FPS Form 1 - Collection Form for Farm Prices Received by Farmers for Crops
FPS Form 2 - Collection Form for Farm Prices Received by Backyard Raisers of Cattle and Carabaos
FPS Form 3 - Collection Form for Farm Prices Received by Backyard Raisers of Hogs (upgraded)
FPS Form 4 - Collection Form for Farm Prices Received by Backyard Raisers of Goats
FPS Form 5 - Collection Form for Farm Prices Received by Backyard and Commercial Raisers of Chicken and Chicken Eggs
FPS Form 6 - Collection Form for Farm Prices Received by Backyard and Commercial Raisers of Ducks and Duck Eggs
FPS Form 8 - Collection Form for Farm Prices Paid by Farmers for Pesticides
FPS Form 1-6 and 8 are survey questionnaires. These have been approved by the National Statistical Coordination Board (NSCB) with the corresponding approval numbers indicated on the right side of the upper portions of the questionnaires.
FPS Form 1 - Collection Form for Farm Prices Received by Farmers for Crops
FPS Form 2 - Collection Form for Farm Prices Received by Backyard Raisers of Cattle and Carabaos
FPS Form 3 - Collection Form for Farm Prices Received by Backyard Raisers of Hogs (upgraded)
FPS Form 4 - Collection Form for Farm Prices Received by Backyard Raisers of Goats
FPS Form 5 - Collection Form for Farm Prices Received by Backyard and Commercial Raisers of Chicken and Chicken Eggs
FPS Form 6 - Collection Form for Farm Prices Received by Backyard and Commercial Raisers of Ducks and Duck Eggs
FPS Form 8 - Collection Form for Farm Prices Paid by Farmers for Pesticides
FPS Form 1-6 and 8 are survey questionnaires. These have been approved by the National Statistical Coordination Board (NSCB) with the corresponding approval numbers indicated on the right side of the upper portions of the questionnaires.
Data Processing
Data Editing
Accomplished Farm Prices Survey questionnaires are subjected to manual editing and coding by Operations Centers staff as data collector and Provincial Agricultural Statistics Officer as supervisor.
Editing, encoding and generation of monthly provincial reports are done in the Provincial Operations Centers (POCs). Prior to encoding, the accomplished questionnaires are manually edited for validity and consistency. The data files undergo validation using an editing program based on pre-set validation criteria such as consistency check, range check and acceptability and validity of data.
Editing, encoding and generation of monthly provincial reports are done in the Provincial Operations Centers (POCs). Prior to encoding, the accomplished questionnaires are manually edited for validity and consistency. The data files undergo validation using an editing program based on pre-set validation criteria such as consistency check, range check and acceptability and validity of data.
Other Processing
Decentralized processing of survey returns is done for the Farm Prices Survey (FPS) where a customized IMPS-based program is installed in every POC. The clean data will then serve as input to the tabulation programs to come up with the monthly provincial reports. These reports, together with the clean data, are submitted to the BAS - Central Office in soft and hard copies on or before the 15th of the month following the reference month. As soon as the consolidation of provincial reports is done for the national/commodity level, the outputs are then integrated to the existing database ready for access by both internal and external data users.
In case of computer breakdowns, manual processing is done at the POCs to arrive at the provincial average monthly prices.
In case of computer breakdowns, manual processing is done at the POCs to arrive at the provincial average monthly prices.
Data Appraisal
Estimates of Sampling Error
Not applicable for crops and livestock and poultry backyard farms.
Not computed for livestock and poultry commercial farms, and pesticides.
Not computed for livestock and poultry commercial farms, and pesticides.
Data Appraisal
Data review for farm prices is undertaken at the POCs every month and at the regional and national level every quarter. Since 2001, the review of farm prices had been included in the regional quarterly data reviews alongside with production statistics. Farm price data are reviewed against consistency with basket and trading matrix, consistency with trends, abrupt changes and trends/levels relative to wholesale and retail prices.
Access policy
Access authority
| Name | Affiliation | URL | |
|---|---|---|---|
| Director | Bureau of Agricultural Statistics | info@bas.gov.ph | http://beans.bas.gov.ph |
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Division Chief | Bureau of Agricultural Statistics | amsad@bas.gov.ph | http://www.bas.gov.ph/ |
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 User/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 User/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, Farm Price Survey, Version 2.0 of the licensed dataset (August 2009), provided by the BAS Electronic Archiving and Network Services. http://beans.bas.gov.ph"
"Bureau of Agricultural Statistics, Farm Price Survey, Version 2.0 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.
Copyright
Copyright 2008-2009 © Bureau of Agricultural Statistics, All rights reserved.
Metadata production
DDI Document ID
DDI_PHL_2009_FPS_v01_M
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Maydalyn G. Eustaquio | MGE | Bureau of Agricultural Statistics | Documenter |
| Accelerated Data Program | ADP | International Household Survey Network | Editing for the IHSN Survey Catalog |
Date of Metadata Production
2009-08-31
DDI Document version
Version 01: Adopted from "DDI_2009_PHL_FPS_v01_M" DDI that was done by metadata producers mentioned in "Metadata Production" section.