PHL_2016_QAS_v01_EN_M_v01_A_OCS
Quarterly Aquaculture Survey 2016
Name | Country code |
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Philippines | PHL |
Agricultural Survey [ag/oth]
The Quarterly Aquaculture Survey (QAS) is a quarterly survey that generates aquaculture production and area estimates. It has been regularly conducted since 2002.
Aquaculture fisheries is one of the three (3) sectors of fisheries, the others being commercial and municipal fisheries. Aquaculture fisheries cover different aquafarm types and environments, namely: a) Brackish water and fresh water fishpond; b) Brackish water, fresh water and marine pen and cage; c) Oyster, mussel and seaweed and; d) Other freshwater aquafarms like rice fish, small farm reservoir, etc.
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. Fisheries outputs form part of the estimation for the performance of agriculture and eventually, of the national accounts for the generation of Gross Value Added (GVA), Gross National Product (GNP) and Gross Domestic Product (GDP).
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.
Sample survey data [ssd]
Entreprises
The description of the survey includes 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.
Topic | Vocabulary |
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Economic statistics/Sectoral/Fishery | Philippine Statistics Authority |
National coverage
All aquafarms nationwide covering the following aquafarm type/environments:
a. Brackish water and fresh water fishpond
b. Brackish water, fresh water and marine pen and cage
c. Oyster, mussel and seaweed
d. Other fresh water aquafarms like rice fish, small farm reservoir, etc.
Name | Affiliation |
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Philippine Statistics Authority (PSA) | National Economic and Development Authority (NEDA) |
Name | Role |
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Government of the Philippines | Full funding |
The Quarterly Aquaculture Survey (QAqS) is a non-probability survey. Sampling was done by aquafarm type in the province. By aquafarm type, top producing municipalities are those with cumulative share of at least 80% to total area based on Aquaculture Farms Inventory (AqFI).
For each municipality, eight (8) sample aquafarms are selected if the number of aquafarms in the municipality is more than 25. If the number of aquafarms is less than 25, five (5) sample aquafarms are selected. A total of 6662 sample aquafarms were covered nationwide.
Response rate for quarterly aquaculture survey was 73%. This accounted for farms in operation and those without harvest during the reference period.
This is a non-probability survey. As such, no weighing procedure is applied.
Start | End | Cycle |
---|---|---|
2016-03-21 | 2016-03-25 | Quarter 1 |
2016-06-20 | 2016-06-24 | Quarter 2 |
2016-09-19 | 2016-09-23 | Quarter 3 |
2016-11-21 | 2016-11-25 | Quarter 4 |
Initially, the data is manually edited to ensure completeness and accuracy. During this stage, questionnaires are checked for completeness from the list of samples. For each of the questionnaires, 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 2013 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.
Since the survey was done through interviews of key informants, validation of responses is needed. Additional information was gathered from interviews of people from government and non-government agencies and offices and other stakeholders in fisheries, for example, fish/seaweed traders and processors. Use of auxilliary information was also one way of validating data generated by the survey. Example of these are the programs of the Bureau of Fisheries and Aquatic Resources for uplifting the aquaculture sector, record of weather disturbances and provinces affected, and, existing fishery laws. Comparing current estimates with the time series data (aquaculture) was also one way of appraising survey results.
Is signing of a confidentiality declaration required? | Confidentiality declaration text |
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yes |
The PSA and its field personnel shall hold all data supplied by the establishments/households/individuals in confidence. The information obtained from each respondent of the census/survey or individual/establishment in administrative records shall be for statistical purposes only and not for taxation, regulation nor investigation purposes. The data shall be processed with others of the same category and shall be disseminated in summary forms or statistical tables so as not to reveal the identity of any respondent. Confidentiality of primary data collected from respondents/administrative records systems is guaranteed by Section 26 of the Republic Act No.10625 (Philippine Statistics Act of 2013). Penalties shall be enforced to acts of breach of confidential information pursuant to Section 27 of the said Act. |
The data users/researchers acknowledge that the PSA bears 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.
Name | Affiliation | URL | |
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Chief, Knowledge Management and Communication Division | Philippine Statistics Authority | [email protected] | www.psa.gov.ph |
Chief, Fisheries Statistics Division | Philippine Statistics Authority | [email protected] | www.psa.gov.ph |
DDI_PHL_2016_QAS_v01_EN_M_v01_A_OCS_FAO
Name | Affiliation | Role |
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Office of the Chief Statistician | Food and Agriculture Organization | Metadata adapted for FAM |
Fisheries Statistics Division | Philippine Statistics Authority | Documentation of the study |
PHL_2016_QAS_v01_EN_M_v01_A_OCS_v01