Quarterly Aquaculture Survey 2007
Philippines, 2007
Bureau of Agricultural Statistics
Created on
May 29, 2020
Last modified
May 29, 2020
Page views
352
Download
90
Documentation in PDF
Metadata
DDI/XML
JSON
Identification
Survey ID Number
PHL_2007_QAS_v01_EN_M_v01_A_OCS
Title
Quarterly Aquaculture Survey 2007
Country
| Name | Country code |
|---|---|
| Philippines | PHL |
Study type
Agricultural Survey [ag/oth]
Series Information
The Quarterly Aquaculture Survey (QAS) is a quarterly survey that generates aquaculture production and area estimates. It has been regularly conducted since 2002.
Abstract
The Quarterly Aquaculture Survey (QAS) is a quarterly survey that generates aquaculture production and area estimates. It asks for the actual level of production, area harvested and price for each species during the reference quarter of the current and previous year from the sample operators in the top producing municipalities.
The Quarterly Aquaculture Surveys (QAS) aims to generate accurate and timely information on quarterly production, area and price by aquafarm type and species at the provincial level. Value of production and yield can also be derived.
The Quarterly Aquaculture Surveys (QAS) aims to generate accurate and timely information on quarterly production, area and price by aquafarm type and species at the provincial level. Value of production and yield can also be derived.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Entreprises
Scope
Notes
The data items in the survey forms are production, area harvested and price by species of each aquafarm type. The information are asked during the current quarter and the same quarter of the previous year.
Coverage
Geographic Coverage
National Coverage
Universe
The survey covered all types of aquafarms.
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Bureau of Agricultural Statistics | Department of Agriculture |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| Bureau of Fisheries and Aquatic Resources | BFAR | Provides funds for the conduct of fisheries surveys |
Other Identifications/Acknowledgments
| Name | Role |
|---|---|
| National Statistical Coordination Board | Provides survey clearance |
Sampling
Sampling Procedure
The Quarterly Aquaculture Survey (QAS) is a non-probability survey. Sampling was done by aquafarm type in the province. The provinces were classified into three (3) categories according to production. The categories were; major producing province, minor producing province and very minor provinces.
For major provinces, top five (5) producing municipalities were chosen. From each of the top producing municipalities, five (5) sample aquafarms were selected. Thus, there were 25 sample aquafarms allocated for each major producing province. For minor producing provinces, 3 X 3 design was applied. Three (3) sample aquafarms were chosen from each of the three (3) top producing municipalities. A total of nine (9) sample aquafarms was allocated for each minor producing province. For very minor provinces, one (1) sample aquafarm was selected from each of the three (3) top producing municipalities. There were three (3) sample aquafarms from each very minor province.
Sample aquafarms from the sample municipalities were selected by the field staff of the Provincial Operations Center (POC) based on regularity of aquafarm operations and representation of species cultured within the municipality. A total of 1,970 sample aquafarms were covered nationwide.
For major provinces, top five (5) producing municipalities were chosen. From each of the top producing municipalities, five (5) sample aquafarms were selected. Thus, there were 25 sample aquafarms allocated for each major producing province. For minor producing provinces, 3 X 3 design was applied. Three (3) sample aquafarms were chosen from each of the three (3) top producing municipalities. A total of nine (9) sample aquafarms was allocated for each minor producing province. For very minor provinces, one (1) sample aquafarm was selected from each of the three (3) top producing municipalities. There were three (3) sample aquafarms from each very minor province.
Sample aquafarms from the sample municipalities were selected by the field staff of the Provincial Operations Center (POC) based on regularity of aquafarm operations and representation of species cultured within the municipality. A total of 1,970 sample aquafarms were covered nationwide.
Weighting
QAS is a non-probability survey. As such, no weighting procedure is applied.
Data Collection
Dates of Data Collection
| Start | End | Cycle |
|---|---|---|
| 2007-03-21 | 2007-03-26 | Quarter 1 |
| 2007-06-21 | 2007-06-26 | Quarter 2 |
| 2007-09-21 | 2007-09-26 | Quarter 3 |
| 2007-12-01 | 2007-12-06 | Quarter 4 |
Data Collection Mode
Face-to-face paper [f2f]
Data Processing
Data Editing
Initially, the survey returns are manually edited to ensure completeness and accuracy. During this stage, survey returns are checked for completeness from the list of samples. For each of the survey forms, entries should be complete and numeric entries are in proper unit of measurement and decimal places.
After encoding, the entries are then again inspected and reviewed for completeness, accuracy and consistency with other items.
An Aquaculture Data Generation System (AquaDataGen) was developed using MS Excel 2003 for the data processing requirements of QAS. This system is decentralized in the provinces but regional and national summary can also be derived. The AquaDataGen has the facility for data entry, data review and validation.
After encoding, the entries are then again inspected and reviewed for completeness, accuracy and consistency with other items.
An Aquaculture Data Generation System (AquaDataGen) was developed using MS Excel 2003 for the data processing requirements of QAS. This system is decentralized in the provinces but regional and national summary can also be derived. The AquaDataGen has the facility for data entry, data review and validation.
Access policy
Contacts
| Name | Affiliation | |
|---|---|---|
| Chief, Fisheries Statistics Division | Bureau of Agricultural Statistics | [email protected] |
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 Aquaculture Survey, Version 2 of the licensed dataset (August 31, 2009), provided by the BAS Electronic Archiving and Network Services. http://beans.bas.gov.ph"
"Bureau of Agricultural Statistics, Quarterly Aquaculture Survey, Version 2 of the licensed dataset (August 31, 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.
Metadata production
DDI Document ID
DDI_PHL_2007_QAS_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 |
| Reinelda P. Adriano | RPA | Bureau of Agricultural Statistics | Documentation of the study |
DDI Document version
PHL_2007_QAS_v01_EN_M_v01_A_OCS_v01