Barangay Agricultural Profiling Survey 2006
Philippines, 2006
Get Microdata
Reference ID
PHL_2006_BAPS_v01_EN_M_v01_A_OCS
Producer(s)
Bureau of Agricultural Statistics
Collections
Metadata
Created on
May 29, 2020
Last modified
Jan 31, 2023
Page views
1764
Downloads
606
Identification
Survey ID Number
PHL_2006_BAPS_v01_EN_M_v01_A_OCS
Title
Barangay Agricultural Profiling Survey 2006
Country
| Name | Country code |
|---|---|
| Philippines | PHL |
Study type
Agricultural Census [ag/census]
Series Information
The Barangay Agricultural Profiling Survey (BAPS) in Cordillera Administrative Region (CAR) was conducted in August 2006. This was simultaneously conducted in all the provinces under CAR. The BAPS was also conducted in selected regions in the Philippines but with minor revisions in the methodology and questionnaire design based on the experiences in CAR.
BAPS was an improved version of the Barangay Screening Survey (BSS) which was undertaken by the Bureau of Agricultural Statistics (BAS) from 1997 to 1999. The BAPS was designed to collect information on basic structure of agriculture and fishery at the barangay level. The output of this activity would be effective inputs to the government in the identification, design and implementation of appropriate development programs and in identification of target beneficiaries. In particular, a very important application of the BAPS output would be in the identification of areas suitable for the production and marketing of priority commodities in a province.
BAPS was an improved version of the Barangay Screening Survey (BSS) which was undertaken by the Bureau of Agricultural Statistics (BAS) from 1997 to 1999. The BAPS was designed to collect information on basic structure of agriculture and fishery at the barangay level. The output of this activity would be effective inputs to the government in the identification, design and implementation of appropriate development programs and in identification of target beneficiaries. In particular, a very important application of the BAPS output would be in the identification of areas suitable for the production and marketing of priority commodities in a province.
Abstract
Basic and current data on agriculture are usually generated through national censuses and surveys. However, data from these sources are too aggregated. Thus, the available data series are deemed inadequate to meet the needs of planners and policy makers of local government units, particularly the cities/municipalities and barangays. What they require are more disaggregated information in analyzing the agricultural situation in their localities.
In response to the felt need for comprehensive, timely and reliable data at the municipal and barangay levels of disaggregation, the Bureau of Agricultural Statistics (BAS) has conceptualized an activity entitled “Barangay Agricultural Profiling Survey (BAPS)”. The BAPS is an improved version of the Barangay Screening Survey (BSS), which was undertaken by the Bureau from 1997 to 1999. The BAPS has been designed to collect information on the basic structure of agriculture and fishery at the barangay level. The output of this activity would be effective inputs to the government in the identification, design and implementation of appropriate development programs and in identification of target beneficiaries. In particular, a very important application of the output of this inquiry would be in the identification of areas suitable for the production and marketing of priority commodities in a province.
The general objective of the BAPS is to provide the policymakers and other data users with comprehensive agriculture profiles at the sub-national levels. Its specific objectives are: to establish the database on the basic characteristics of agriculture; to assist in the identification of areas suitable for the production and marketing of priority commodities in the province; to provide a common set of updated basic data for use in agricultural development planning at the municipal and barangay levels in support to government programs, particularly those of the Department of Agriculture; and to provide the basis for the updating/construction of new sampling frames for agricultural and fishery surveys.
The data items selected by BAPS include the following: basic barangay characteristics, information on agricultural crops, irrigation, livestock and poultry, fishery, agricultural practices, marketing, farm machineries/implements, and other information such as associations providing support to farmers, projects implemented in the barangay, major and other sources of livelihood and women's participation in agriculture/fishery related activities.
In response to the felt need for comprehensive, timely and reliable data at the municipal and barangay levels of disaggregation, the Bureau of Agricultural Statistics (BAS) has conceptualized an activity entitled “Barangay Agricultural Profiling Survey (BAPS)”. The BAPS is an improved version of the Barangay Screening Survey (BSS), which was undertaken by the Bureau from 1997 to 1999. The BAPS has been designed to collect information on the basic structure of agriculture and fishery at the barangay level. The output of this activity would be effective inputs to the government in the identification, design and implementation of appropriate development programs and in identification of target beneficiaries. In particular, a very important application of the output of this inquiry would be in the identification of areas suitable for the production and marketing of priority commodities in a province.
The general objective of the BAPS is to provide the policymakers and other data users with comprehensive agriculture profiles at the sub-national levels. Its specific objectives are: to establish the database on the basic characteristics of agriculture; to assist in the identification of areas suitable for the production and marketing of priority commodities in the province; to provide a common set of updated basic data for use in agricultural development planning at the municipal and barangay levels in support to government programs, particularly those of the Department of Agriculture; and to provide the basis for the updating/construction of new sampling frames for agricultural and fishery surveys.
The data items selected by BAPS include the following: basic barangay characteristics, information on agricultural crops, irrigation, livestock and poultry, fishery, agricultural practices, marketing, farm machineries/implements, and other information such as associations providing support to farmers, projects implemented in the barangay, major and other sources of livelihood and women's participation in agriculture/fishery related activities.
Kind of Data
Census/enumeration data [cen]
Unit of Analysis
Agricultural holdings
Scope
Notes
The Barangay Agricultural Profiling Survey (BAPS) - Cordillera Administrative Region (CAR) covered all the major commodities of agriculture and fishery with data items as follows:
Basic Barangay characterististics:
- General geographic terrain
- Land area
- Land use
- Population
- Vulnerability of the barangay to natural calamities
- Number of farming, non-farming and fishing households.
Agricultural Crops Information :
- Cropping calendar, area and yield
- List of plantations
Information on Irrigation:
- Sources of irrigation water
- Potential, service and actual area of irrigation facilities
- Terms of payment of irrigation fee
Livestock and Poultry Information:
- Inventory of livestock and poultry at backyard and commercial farms;
- List of commercial livestock farms
Fishery Information:
- Number of motorized and non-motorized fishing boats
- List of commercial fishing boat operators
- Major fishing gears used
- List of landing centers
- List of aquafarm operators by type of environment, type of farm and farm area
Agricultural Practices:
- Modern agricultural practices;
Marketing Information:
- Availability of market/trading area for agricultural/fishery commodities
- Major commodities traded and their sources and destinations;
Farm Machineries / Other Implements:
- Inventory of farm machineries
Infrastructure and Services:
- Access to post harvest and other facilities
- Access to basic community services;
Other information:
- Associations providing support to farmers
- Projects implemented in the barangay
- Major and other sources of livelihood
- Women's participation in agriculture/fishery related activities.
Basic Barangay characterististics:
- General geographic terrain
- Land area
- Land use
- Population
- Vulnerability of the barangay to natural calamities
- Number of farming, non-farming and fishing households.
Agricultural Crops Information :
- Cropping calendar, area and yield
- List of plantations
Information on Irrigation:
- Sources of irrigation water
- Potential, service and actual area of irrigation facilities
- Terms of payment of irrigation fee
Livestock and Poultry Information:
- Inventory of livestock and poultry at backyard and commercial farms;
- List of commercial livestock farms
Fishery Information:
- Number of motorized and non-motorized fishing boats
- List of commercial fishing boat operators
- Major fishing gears used
- List of landing centers
- List of aquafarm operators by type of environment, type of farm and farm area
Agricultural Practices:
- Modern agricultural practices;
Marketing Information:
- Availability of market/trading area for agricultural/fishery commodities
- Major commodities traded and their sources and destinations;
Farm Machineries / Other Implements:
- Inventory of farm machineries
Infrastructure and Services:
- Access to post harvest and other facilities
- Access to basic community services;
Other information:
- Associations providing support to farmers
- Projects implemented in the barangay
- Major and other sources of livelihood
- Women's participation in agriculture/fishery related activities.
Coverage
Geographic Coverage
Regional Coverage
Universe
The survey covered all barangays with areas devoted to agricultural activities such as farming, raising of animals and fishing. Barangays without any farming or fishing activities but with agro-fishery facilities/establishments were likewise enumerated.
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Bureau of Agricultural Statistics | Department of Agriculture |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| Department of Agriculture - Regional Field Unit , Cordillera Admninistrative Region | DA-RFU, CAR | Funding Source |
Sampling
Sampling Procedure
Not applicable.
Deviations from the Sample Design
Not applicable.
Response Rate
Not applicable
Weighting
Not applicable.
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2006-09-01 | 2006-09-30 |
Data Collection Mode
Mixed data collection mode
Data Processing
Data Editing
Data processing was done at the POC in two stages: manual editing and electronic data processing. Manual editing involved item-by-item checks on the consistency and completeness of the data and data ranges. This was the initial stage where data were judged as acceptable or not based on the situation in the barangay. The supervisors did the manual editing of returns, although the data collector also saw to it that the information collected were complete and acceptable before the questionnaires were submitted to him/her. A set of manual editing procedure facilitated the completion of this activity. The manual editing and coding guidelines document was provided as an external resource.
Electronic data processing was done at the Regional Operations Center (ROC) and Provincial Operations Center (POC) with the Regional Processing Officer (RPO) and Provincial Processing Officer (PPO) on top of the activity. This involved data coding, encoding, electronic data cleaning and generation of summary statistics. Before the data were submitted for electronic processing, the supervisor saw to it that these data have passed the consistency requirements set in the editing guidelines. Errors that were overlooked in the manual editing were captured in electronic data cleaning. The electronic data processing document was provided as an external resource.
Two types of outputs were generated after the electronic processing stage: the raw data and the summary statistics. Both were used as inputs in the data validation stage of the survey. For this reason, it was recommended that the raw data generated should be in Excel format so that the staff involved can access, examine and correct them as necessary.
The data processing software used was Integrated Micro-Computer Processing System (IMPS) which was developed by the United States Census Bureau.
Electronic data processing was done at the Regional Operations Center (ROC) and Provincial Operations Center (POC) with the Regional Processing Officer (RPO) and Provincial Processing Officer (PPO) on top of the activity. This involved data coding, encoding, electronic data cleaning and generation of summary statistics. Before the data were submitted for electronic processing, the supervisor saw to it that these data have passed the consistency requirements set in the editing guidelines. Errors that were overlooked in the manual editing were captured in electronic data cleaning. The electronic data processing document was provided as an external resource.
Two types of outputs were generated after the electronic processing stage: the raw data and the summary statistics. Both were used as inputs in the data validation stage of the survey. For this reason, it was recommended that the raw data generated should be in Excel format so that the staff involved can access, examine and correct them as necessary.
The data processing software used was Integrated Micro-Computer Processing System (IMPS) which was developed by the United States Census Bureau.
Data Appraisal
Data Appraisal
Multi-level data validation was intended to ensure that the results of this survey are acceptable, reliable and usable. Technical Working Groups (TWGs) at the municipal and provincial levels were created. The objectives were to thoroughly scrutinize the data and to allow the members of the group to evaluate the consistency of data. Inputs in validation included the raw data, survey questionnaires and summary statistics. Validation materials were prepared by the POC staff who were also responsible in facilitating and documenting the validation process.
The municipal TWG were composed of the BAS POC staff covering the municipality, the MAO, MPDO, Municipal Agriculture and Fishery Council (MAFC) Officer, Farm Cluster Leaders and the President of the Association of the Barangay Chairmen (ABC). The Municipal TWG was responsible in reviewing the results of the survey at the municipal level with barangay disaggregation. They ensured that the changes made during the municipal data validation are reflected in the raw data and in the questionnaires. This further highlighted the importance of the raw data being readily converted to Excel format right after table generation at the POC.
The PASO, the Provincial Agriculturist (PA), Provincial Agriculture and Fishery Council (PAFC) Officer, Provincial Planning and Development Officer (PPDO) to be supported by staff of the Research and Evaluation Division, and the President of the Provincial League of the MPDOs composed the Provincial TWG. The TWG at the provincial level was responsible in examining the results of the survey using the consolidated municipal results. They sent feedback to all municipalities on the analysis of data generated. As in the case of the municipal data validation, it was also important that all changes made in the data as a result of the validation process must be reflected at once to the municipal results and eventually to the raw data and the questionnaires.
On-site validation at each level was conducted by the TWG, especially if there were still unsettled issues and disagreements in the data after the review process.
The municipal TWG were composed of the BAS POC staff covering the municipality, the MAO, MPDO, Municipal Agriculture and Fishery Council (MAFC) Officer, Farm Cluster Leaders and the President of the Association of the Barangay Chairmen (ABC). The Municipal TWG was responsible in reviewing the results of the survey at the municipal level with barangay disaggregation. They ensured that the changes made during the municipal data validation are reflected in the raw data and in the questionnaires. This further highlighted the importance of the raw data being readily converted to Excel format right after table generation at the POC.
The PASO, the Provincial Agriculturist (PA), Provincial Agriculture and Fishery Council (PAFC) Officer, Provincial Planning and Development Officer (PPDO) to be supported by staff of the Research and Evaluation Division, and the President of the Provincial League of the MPDOs composed the Provincial TWG. The TWG at the provincial level was responsible in examining the results of the survey using the consolidated municipal results. They sent feedback to all municipalities on the analysis of data generated. As in the case of the municipal data validation, it was also important that all changes made in the data as a result of the validation process must be reflected at once to the municipal results and eventually to the raw data and the questionnaires.
On-site validation at each level was conducted by the TWG, especially if there were still unsettled issues and disagreements in the data after the review process.
Access policy
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Romeo S. Recide | 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 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, Barangay Agricultural Profiling Survey - Cordillera Administrative Region 2006 (BAPS-CAR 2006), Version 1.0 of the licensed dataset (August 2006), provided by the BAS Electronic Archiving and Network Services. http://beans.bas.gov.ph"
"Bureau of Agricultural Statistics, Barangay Agricultural Profiling Survey - Cordillera Administrative Region 2006 (BAPS-CAR 2006), Version 1.0 of the licensed dataset (August 2006), 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_2006_BAPS_v01_EN_M_v01_A_OCS_FAO
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Office of Chief Statistician | OCS | Food and Agriculture Organization | Metadata adapted for FAM |
| Demosthenes N. Mistal | DNM | BAS | Documentation of study |
| Romeo S. Recide | RSR | BAS | Reviewer |
| Maura S. Lizarondo | MSL | BAS | Reviewer |
| Amelia P. Caparas | APC | BAS | Reviewer |
DDI Document version
PHL_2006_BAPS_v01_EN_M_v01_A_OCS_v01