Quarterly Commercial Fisheries Survey (Traditional Landing Centers) 2009
Philippines, 2009
Reference ID
PHL-BAS-QCFS-2009-v1.0
Producer(s)
Bureau of Agricultural Statistics (BAS)
Metadata
Created on
Oct 12, 2021
Last modified
Oct 12, 2021
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Identification
Quarterly Commercial Fisheries Survey (Traditional Landing Centers) 2009
Name | Abbreviation |
---|---|
Philippines | PHL |
PHL-BAS-QCFS-2009-v1.0
Commercial fisheries is one of the three (3) sectors of fisheries, the others being Municipal fisheries and Aquaculture.
Data on commercial fisheries are collected in fish landing centers where fishermen unload and trade their catch. There are three (3) types of commercial fish landing centers, namely: the traditional, those managed by Philippine Fish Development Authority (PFDA) and Local Government Units (LGUs) and those privately-owned landing centers.
The two types of survey conducted in traditional commercial fish landing centers are the monthly or probability survey, and the quarterly or non-probability survey.
For monthly surveys, Contractual Data Collectors (CDCs) are hired to do the actual interview of fishermen unloading at the sample fish landing centers. In the absence of adequate funds intended for the payment of wages for CDCs, quarterly surveys are conducted by the regular staff in the Provincial Operations Centers (POCs).
The general objective of the survey is to generate information on the quarterly volume and value of fish unloadings by species at the provincial, regional and national levels.
The Quarterly Commercial Fisheries Survey (Traditional Landing Centers) is a survey on volume and price of fish unloaded at sample commercial fish landing centers by fishing boats with gross tonnage of more than three (3) tons. Data are collected through personal interview of at least three (3) key informants knowledgeable on the fishing activites at the sample fish landing center. Key informants may be a fisherman, fishing boat operator, fish trader, fish broker, or barangay official.
Data on monthly volume and price of fish unloaded at the landing centers are gathered on the last week of the last month of the reference quarter.
Data on commercial fisheries are collected in fish landing centers where fishermen unload and trade their catch. There are three (3) types of commercial fish landing centers, namely: the traditional, those managed by Philippine Fish Development Authority (PFDA) and Local Government Units (LGUs) and those privately-owned landing centers.
The two types of survey conducted in traditional commercial fish landing centers are the monthly or probability survey, and the quarterly or non-probability survey.
For monthly surveys, Contractual Data Collectors (CDCs) are hired to do the actual interview of fishermen unloading at the sample fish landing centers. In the absence of adequate funds intended for the payment of wages for CDCs, quarterly surveys are conducted by the regular staff in the Provincial Operations Centers (POCs).
The general objective of the survey is to generate information on the quarterly volume and value of fish unloadings by species at the provincial, regional and national levels.
The Quarterly Commercial Fisheries Survey (Traditional Landing Centers) is a survey on volume and price of fish unloaded at sample commercial fish landing centers by fishing boats with gross tonnage of more than three (3) tons. Data are collected through personal interview of at least three (3) key informants knowledgeable on the fishing activites at the sample fish landing center. Key informants may be a fisherman, fishing boat operator, fish trader, fish broker, or barangay official.
Data on monthly volume and price of fish unloaded at the landing centers are gathered on the last week of the last month of the reference quarter.
Sample survey data [ssd]
Commercial fish landing center
Version
Version 1 - Edited at the province level, not anonymized, for internal use
2010-05-07
Scope
Topic | Vocabulary | URI |
---|---|---|
fisheries |
Coverage
All provinces, national coverage
Province is the lowest level of data disaggregation.
Commercial fish landing center
All traditional commercial fish landing centers
Producers and sponsors
Name | Abbreviation | Role |
---|---|---|
Bureau of Fisheries and Aquatic Resources | BFAR | Donor |
Name | Affiliation | Role | |
---|---|---|---|
National Statistical Coordination Board (NSCB) | Suvey Clearance |
Sampling
The sampling frame used for Quarterly Commercial Fisheries Survey of traditional landing centers is the list of landing centers by province.
The quarterly survey in traditional landing centers uses stratified random sampling with the province as the domain. The volume of unloadings is the variable used in the stratification of the fish landing centers into three (3) groups, namely;
Stratum 1 - the top producing fish landing centers
Stratum 2 - the major producing fish landing centers
Stratum 3 - all other fish landing centers
The total number of traditional commercial fish landing centers in 2009 was 381. Simple random sampling is used in drawing the sample landing centers from the stratum.
Allocation of number of sample fish landing centers is based on the distribution of volume of unloadings in the province. Number of samples by stratum was as follows:
Stratum 1 - 100 out of 117
Stratum 2 - 73 out of 160
Stratum 3 - 27 out of 104
Replacement of sample landing center is allowed for landing centers with unstable peace and order situation and for hard or difficult to reach areas.
The quarterly survey in traditional landing centers uses stratified random sampling with the province as the domain. The volume of unloadings is the variable used in the stratification of the fish landing centers into three (3) groups, namely;
Stratum 1 - the top producing fish landing centers
Stratum 2 - the major producing fish landing centers
Stratum 3 - all other fish landing centers
The total number of traditional commercial fish landing centers in 2009 was 381. Simple random sampling is used in drawing the sample landing centers from the stratum.
Allocation of number of sample fish landing centers is based on the distribution of volume of unloadings in the province. Number of samples by stratum was as follows:
Stratum 1 - 100 out of 117
Stratum 2 - 73 out of 160
Stratum 3 - 27 out of 104
Replacement of sample landing center is allowed for landing centers with unstable peace and order situation and for hard or difficult to reach areas.
Response rate for quarterly commercial fisheries survey is 100%.
A factor derived from the total number of sample fish landing centers over the number of sample fish landing centers by stratum is used to estimate the total volume of fish landed by commercial fishing boats in the province. This factor varies from one province to another.
Data Collection
Start | End | Cycle |
---|---|---|
2009-03-20 | 2009-03-31 | First Quarter |
2009-06-20 | 2009-06-30 | Second Quarter |
2009-09-20 | 2009-09-30 | Third Quarter |
2009-12-15 | 2009-12-20 | Fourth Quarter |
Start | End | Cycle |
---|---|---|
2009-01-01 | 2009-03-31 | First Quarter |
2009-04-01 | 2009-06-30 | Second Quarter |
2009-07-01 | 2009-09-30 | Third Quarter |
2009-10-01 | 2009-12-31 | Fourth Quarter |
Face-to-face [f2f]
The Regional Agricultural Statistics Officer (RASO) is responsible for the regional level monitoring and supervision of the survey operations of the Provincial Operations Centers (POCs).
The Provincial Agricultural Statistical Officer (PASO) is the over-all supervisor in the province. As field supervisor, the PASO should ensure accuracy of data collection,completeness of the accomplished survey forms. As part of the PASO's tasks is the conduct of spot-checking and back-checking on the work of POC staff who act as data collectors in this survey.
The Provincial Agricultural Statistical Officer (PASO) is the over-all supervisor in the province. As field supervisor, the PASO should ensure accuracy of data collection,completeness of the accomplished survey forms. As part of the PASO's tasks is the conduct of spot-checking and back-checking on the work of POC staff who act as data collectors in this survey.
QCFS Form 1 is a one-page questionnaire in English language used in gathering information on the monthly volume and average price per kilogram by species of fish unloaded in traditional commercial fish landing centers during the reference quarter.
Name and classification of sample landing center were indicated in the questionnaire.Thirty-one major species were pre-listed with provisions for other species not mentioned in the list. These other or minor species were also included in data processing. However, only the 31 or major species were highlighted in all fisheries publications.
One questionnaire per respondent is used in the conduct of the interview. Name and type of key informant are also included in the questionnaire.
The same questionnaire is used every quarter. The same data structure is required in every quarter.
Name and classification of sample landing center were indicated in the questionnaire.Thirty-one major species were pre-listed with provisions for other species not mentioned in the list. These other or minor species were also included in data processing. However, only the 31 or major species were highlighted in all fisheries publications.
One questionnaire per respondent is used in the conduct of the interview. Name and type of key informant are also included in the questionnaire.
The same questionnaire is used every quarter. The same data structure is required in every quarter.
Name | Abbreviation | Affiliation |
---|---|---|
Bureau of Agricultural Statistics | BAS | Department of Agriculture |
Data Processing
Manual editing of questionnaires at the provincial level was needed before the electronic data processing of survey returns.
Steps in data editing include the following:
a) Completeness of data items in the questionnaires
b) Correctness of unit of measurement used
c) Coding and encoding
d) Expansion factors used
Before the results are summarized, another series of consistency and completeness check was made during electronic data processing.
Steps in data editing include the following:
a) Completeness of data items in the questionnaires
b) Correctness of unit of measurement used
c) Coding and encoding
d) Expansion factors used
Before the results are summarized, another series of consistency and completeness check was made during electronic data processing.
Data Appraisal
The quarterly survey of commercial fish catch was done through interviews of key informants and results of this process were subjected to validation.
Additional information were gathered from interviews of people from government and non-government agencies and offices and other stakeholders in fisheries. Use of auxilliary information was also one way of validating data generated by the survey. Examples of these were the programs for the improvement of catch of fishermen by the Bureau of Fisheries and Aquatic Resources, record of weather disturbances and provinces affected, existing fishery laws, report or study on status of fishing grounds, etc. Comparing current estimates with the time series data was also one way of appraising survey results. Change in production is assessed if it reflects the real commercial fisheries situation in the province.
Additional information were gathered from interviews of people from government and non-government agencies and offices and other stakeholders in fisheries. Use of auxilliary information was also one way of validating data generated by the survey. Examples of these were the programs for the improvement of catch of fishermen by the Bureau of Fisheries and Aquatic Resources, record of weather disturbances and provinces affected, existing fishery laws, report or study on status of fishing grounds, etc. Comparing current estimates with the time series data was also one way of appraising survey results. Change in production is assessed if it reflects the real commercial fisheries situation in the province.
Data access
Name | Affiliation | URI | |
---|---|---|---|
Director | Bureau of Agricultural Statistics | info@bas.gov.ph | http://beans.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 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.
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, Quarterly Commercial Fisheries Survey (Traditional Landing Centers) 2009, Version 1 of the licensed dataset May 2010, provided by the BAS Electronic Archiving and Network Services. http://beans.bas.gov.ph"
"Bureau of Agricultural Statistics, Quarterly Commercial Fisheries Survey (Traditional Landing Centers) 2009, Version 1 of the licensed dataset May 2010, 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 |