Barangay Agricultural Profiling Survey - Cordillera Administrative Region 2006
Philippines, 2006
Reference ID
PHL-BAS-BAPSCAR-2006-v1.0
Producer(s)
Bureau of Agricultural Statistics
Metadata
Created on
Sep 13, 2021
Last modified
Sep 13, 2021
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Identification
Title
Barangay Agricultural Profiling Survey - Cordillera Administrative Region 2006
Countries
| Name | Abbreviation |
|---|---|
| Philippines | PHL |
idno
PHL-BAS-BAPSCAR-2006-v1.0
Study notes
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 characterististics, 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 characterististics, 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
Barangays
Version
Version
v1.0 is the barangay level data edited at the provincial level, not anonymized, for
internal use.
internal use.
Version date
2006-08-01
Coverage
Geographic coverage
Regional coverage, all barangays in CAR
Geographic unit
Barangay Level
Unit of analysis
Barangays
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
Funding agencies
| Name | Abbreviation | Role |
|---|---|---|
| Department of Agriculture - Regional Field Unit , Cordillera Admninistrative Region | DA-RFU, CAR | Funding Source |
Sampling
Sampling procedure
Not applicable.
Deviations from sample design
Not applicable.
Response rate
Not applicable.
Weighting
Not applicable.
Data Collection
Dates of collection
| Start | End | Cycle |
|---|---|---|
| 2006-09-01 | 2006-09-30 |
Time period(s)
| Start | End | Cycle |
|---|---|---|
| 2005-01-01 | 2005-12-31 | Selected items (Population, etc.) |
| 2003-01-01 | 2005-12-31 | Usual Cropping Calendar, and Yield per Hectare |
| 2004-01-01 | 2005-12-31 | Items on calamity and agricultural development programs/project |
| 2006-09-01 | 2006-09-01 | Inventory Data |
Mode of data collection
Focus Group [foc] / Face-to-Face, KIs
Data collection supervision
The data collectors were closely supervised by the BAS POC staff. To the extent possible, spot checking of all data collectors was done by the supervisors. This was to make sure that errors committed during initial interviews were corrected right on the spot and not carried over to subsequent interviews. The supervisor referred to the spot-checking guidelines prepared for the purpose. Aside from spot checks, follow-up meetings with the data collectors were set by the field supervisor to assess the progress and quality of their work and discussed with them the problems they encountered in data gathering. He/she must see to it that all gray areas were clarified and all the problems encountered as well as the corresponding actions taken during the data collection were documented.
Questionnaires
Structured questionnaire was used in the conduct of BAPS. The questionnaire was administered in each barangay to collect various data on basic barangay characteristics including general geographic terrain, land area, land use, population, vulnerability of the barangay to natural calamities, number of farming, non-farming and fishing households. Data on agricultural crops, irrigation, livestock and poultry, fishery, agricultural practices, marketing,farm machineries / other Implements, infrastructure and services, 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 were also collected.
The questionnaire was developed in English language.
The questionnaire was developed in English language.
Data collector(s)
| Name | Abbreviation | Affiliation |
|---|---|---|
| Bureau of Agricultural Statistics | BAS | Department of Agriculture |
Data Processing
Data editing
Field Data Processing
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.
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.
Data Appraisal
Other forms of data appraisal
Data Validation
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.
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.
Data access
Access authorities
| Name | Affiliation | URI | |
|---|---|---|---|
| Director | Bureau of Agricultural Statistics | info@bas.gov.ph | http://beans.bas.gov.ph |
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.
Copyrights
Copyright 2008-2009 © Bureau of Agricultural Statistics, All rights reserved.
contacts
Contact(s)
| Name | Affiliation | URI | |
|---|---|---|---|
| Romeo S. Recide | Bureau of Agricultural Statistics | rsrecide@bas.gov.ph | http://www.bas.gov.ph |