Quarterly Municipal Fisheries Survey (Traditional Landing Centers), 2009
Philippines, 2009
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Reference ID
PHL_2009_QMFS_v01_EN_M_v01_A_OCS
Producer(s)
Bureau of Agricultural Statistics
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Metadata
Created on
May 27, 2020
Last modified
Jan 31, 2023
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Identification
Survey ID Number
PHL_2009_QMFS_v01_EN_M_v01_A_OCS
Title
Quarterly Municipal Fisheries Survey (Traditional Landing Centers), 2009
Country
| Name | Country code |
|---|---|
| Philippines | PHL |
Study type
Agricultural Survey [ag/oth]
Series Information
The quarterly volume and value of municipal fisheries production by species by province are the data generated by the survey. The Fisheries Statistics Division of the Bureau of Agricultural Statistics (BAS) maintained the quarterly data series since 2002. Prior to 2002, only annual municipal fisheries data were available by province by region and by species. These data were published in yearly publication of Fisheries Statistics of the Philippines.
Data collection for fisheries was originally under the Bureau of Fisheries and Aquatic Resources (BFAR) until the creation of the BAS in 1987. Pilot survey of municipal fisheries was conducted in 1976. Sampling over space and time was done. Monthly survey was conducted in sample landing centers in selected days of the month in every coastal province in the Philippines. Contractual Data Collectors (CDCs) were hired to observe actual unloadings of fish in sample fish landing centers. Annual municipal fisheries data were available by region and by province. Catch by species, by fishing ground and by fishing gear were also generated from the survey. These data were published annually in Fisheries Statistics of the Philipines until 1987.
When the mandate of collecting fisheries statistics was transferred from BFAR to BAS, actual field data collection was temporarily suspended for administrative reasons. Alternative methods of estimation were used to produce fisheries statistics in the absence of surveys. Estimation of fish production was done at national level with some indicators coming from Operations Centers. Regional and provincial outputs were distributed with 1985 as the baseline data.
Improvements of survey design were developed through the years, until the quarterly survey of landing centers was adopted in 2002. Due to budgetary constraints, this quarterly survey of traditional fish landing centers was deemed to be the most appropriate design to get the desired information on volume and value of fish production. Since then, the BAS started to generate fish production by quarter, by province and by region.
Data collection for fisheries was originally under the Bureau of Fisheries and Aquatic Resources (BFAR) until the creation of the BAS in 1987. Pilot survey of municipal fisheries was conducted in 1976. Sampling over space and time was done. Monthly survey was conducted in sample landing centers in selected days of the month in every coastal province in the Philippines. Contractual Data Collectors (CDCs) were hired to observe actual unloadings of fish in sample fish landing centers. Annual municipal fisheries data were available by region and by province. Catch by species, by fishing ground and by fishing gear were also generated from the survey. These data were published annually in Fisheries Statistics of the Philipines until 1987.
When the mandate of collecting fisheries statistics was transferred from BFAR to BAS, actual field data collection was temporarily suspended for administrative reasons. Alternative methods of estimation were used to produce fisheries statistics in the absence of surveys. Estimation of fish production was done at national level with some indicators coming from Operations Centers. Regional and provincial outputs were distributed with 1985 as the baseline data.
Improvements of survey design were developed through the years, until the quarterly survey of landing centers was adopted in 2002. Due to budgetary constraints, this quarterly survey of traditional fish landing centers was deemed to be the most appropriate design to get the desired information on volume and value of fish production. Since then, the BAS started to generate fish production by quarter, by province and by region.
Abstract
Municipal fisheries is one of the three (3) sectors of fisheries, the others being Commercial fisheries and Aquaculture. Municipal fisheries cover fishing in marine and inland waters.
The Quarterly Municipal Fisheries Survey (Traditional Landing Centers) is a survey on volume and price of fish unloaded at sample municipal fish landing centers by fishing boats with gross tonnage of three (3) tons and less. 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 officials. 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 marine municipal fisheries are collected in fish landing centers where fishermen unload and trade their catch. There are two (2) types of municipal fish landing centers, namely: the traditional and those managed by Philippine Fish Development Authority (PFDA) and Local Government Units (LGUs).
The two types of survey conducted in traditional municipal 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 unloading's by species at the provincial, regional and national levels.
The Quarterly Municipal Fisheries Survey (Traditional Landing Centers) is a survey on volume and price of fish unloaded at sample municipal fish landing centers by fishing boats with gross tonnage of three (3) tons and less. 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 officials. 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 marine municipal fisheries are collected in fish landing centers where fishermen unload and trade their catch. There are two (2) types of municipal fish landing centers, namely: the traditional and those managed by Philippine Fish Development Authority (PFDA) and Local Government Units (LGUs).
The two types of survey conducted in traditional municipal 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 unloading's by species at the provincial, regional and national levels.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Entreprises
Scope
Notes
The scope of the Quarterly Municipal Fisheries Survey in traditional fish landing centers include:
- Reference quarter for the current year
- General Information (region and province)
- Landing centre (complete name and stratum or classification of the sample fish landing center)
- Complete name and type of key informant
- Monthly volume of fish unloaded by species during the reference quarter
- Monthly price per kilogram of species unloaded in the landing center during the reference quarter
- Reasons for change in volume of unloading
- Reference quarter for the current year
- General Information (region and province)
- Landing centre (complete name and stratum or classification of the sample fish landing center)
- Complete name and type of key informant
- Monthly volume of fish unloaded by species during the reference quarter
- Monthly price per kilogram of species unloaded in the landing center during the reference quarter
- Reasons for change in volume of unloading
Topics
| Topic | Vocabulary |
|---|---|
| Fisheries | Philippine Statistics Authority |
Coverage
Geographic Coverage
National Coverage
Universe
All municipal fish landing centers nationwide
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Bureau of Agricultural Statistics | Department of Agriculture |
Producers
| Name | Role |
|---|---|
| National Statistical Coordination Board | Survey clearance |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| Bureau of Fisheries and Aquatic Resources | BFAR | Donor |
Sampling
Sampling Procedure
The list of all municipal fish landing centers in the country served as the sampling frame for the Quarterly Municipal Fisheries Survey (QMFS) of traditional fish landing centers.
Stratified sampling by province is employed with volume of unloading per day as stratification variable. The landing center serves as the primary sampling unit. The landing centers are grouped into the following strata:
1. Stratum 1 - consists of the top producing fish landing centers or the major landing centers
2. Stratum 2 - consists of the minor producing fish landing centers
3. Stratum 3 - consists of all other landing centers
Simple random sampling is used in drawing the sample landing centers from the stratum. Replacement of sample landing center is allowed for landing centers with unstable peace and order situation and for hard or difficult to reach areas.
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 in 2009 was as follows:
1. Stratum 1 - 232
2. Stratum 2 - 183
3. Stratum 3 - 127
The total number of sample municipal fish landing centers in 2009 was 542. The number of samples is highly dependent on the funds available for the conduct of the survey.
Stratified sampling by province is employed with volume of unloading per day as stratification variable. The landing center serves as the primary sampling unit. The landing centers are grouped into the following strata:
1. Stratum 1 - consists of the top producing fish landing centers or the major landing centers
2. Stratum 2 - consists of the minor producing fish landing centers
3. Stratum 3 - consists of all other landing centers
Simple random sampling is used in drawing the sample landing centers from the stratum. Replacement of sample landing center is allowed for landing centers with unstable peace and order situation and for hard or difficult to reach areas.
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 in 2009 was as follows:
1. Stratum 1 - 232
2. Stratum 2 - 183
3. Stratum 3 - 127
The total number of sample municipal fish landing centers in 2009 was 542. The number of samples is highly dependent on the funds available for the conduct of the survey.
Deviations from the Sample Design
There was no deviation from the sampling design.
Response Rate
Response rates for quarterly municipal fisheries survey is 100%.
Weighting
A factor derived from the number of total fish landing centers over the sample fish landing centers by stratum is used to estimate the total volume of fish landed by municipal fishing boats in the province. This factor varies from one province to another.
Data Collection
Dates of 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 |
Data Collection Mode
Face-to-face paper [f2f]
Data Processing
Data Editing
Manual editing of questionnaires at the provincial level is 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
Data Appraisal
The Regional Agricultural Statistics Officer (RASO) is responsible for the regional level monitoring and supervision of the survey operations of the Provincial Operations Centers. 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 for this activity.
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 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, Quarterly Municipal 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 Municipal 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
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_QMFS_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 |
| De Ocampo, Estela C. | Bureau of Agricultural Statistics | Documentation of the study | |
| Adriano, Reinelda P. | Bureau of Agricultural Statistics | Documentation of the study |
DDI Document version
PHL_2009_QMFS_v01_EN_M_v01_A_OCS_v01