Quarterly Aquaculture Survey 2020
Philippines, 2020 - 2021
Reference ID
PHL-PSA-QAqS-2020-V1
Producer(s)
Philippine Statistics Authority (PSA)
Metadata
Created on
Jun 14, 2022
Last modified
Jun 14, 2022
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Identification
Quarterly Aquaculture Survey 2020
Name | Abbreviation |
---|---|
Philippines | PHL |
PHL-PSA-QAqS-2020-V1
The Philippine Statistics Authority (PSA) through the Fisheries Statistics Division (FSD) under the Economic Sector Statistics Service (ESSS) is responsible for the conduct of periodic surveys related to fisheries. The fisheries sector is composed of three (3) subsectors, namely; commercial, municipal fisheries and aquaculture. There are four (4) quarterly surveys that generate volume and value of production by species at the national, regional and provincial level. The statistics primarily serve as input to the compilation of performance of agriculture and national accounts. The data sets are also used for policy making and program implementation on fisheries.
Aquaculture is one of the fisheries subsectors. It involves propagation and culturing of fish and other fishery species in farming facility such as fishpond, fish pen and fish cage. It also includes oyster, mussel and seaweed culture. The QAqS serves as the activity that gathers information on volume and price of species harvested in the aquafarms.
The QAqS aims to generate volume and value of aquaculture production by aquafarm type, species and quarter at the provincial level, regional and national levels.
During its quarterly conduct, data collection, supervision, field editing and data processing are done the field offices. Three levels of data review are undertaken which are the provincial, regional and national. As a final point, the FSD is responsible for the release of the estimates and preparation of reports.
Aquaculture is one of the fisheries subsectors. It involves propagation and culturing of fish and other fishery species in farming facility such as fishpond, fish pen and fish cage. It also includes oyster, mussel and seaweed culture. The QAqS serves as the activity that gathers information on volume and price of species harvested in the aquafarms.
The QAqS aims to generate volume and value of aquaculture production by aquafarm type, species and quarter at the provincial level, regional and national levels.
During its quarterly conduct, data collection, supervision, field editing and data processing are done the field offices. Three levels of data review are undertaken which are the provincial, regional and national. As a final point, the FSD is responsible for the release of the estimates and preparation of reports.
Sample survey data [ssd]
Aquafarm as the unit of analysis.
Version
V2: edited at Central Office, anonymized
2020-08-18
Reflects modification in the new sampling frame used as it adopted the results of the List of Aquafarms from the Updating List of Aquaculture Farms (ULAF) activity conducted in 2017 which replaced Aquaculture Farm Inventory (AqFI).
Scope
Topic | Vocabulary | URI |
---|---|---|
Economic statistics/Sectoral/Fishery | Philippine Statistics Authority |
Coverage
Provinces in regions; National coverage
Aquafarm as the unit of analysis.
All aquafarms nationwide covering the following aquafarm type/water environments:
a. Brackishwater and freshwater fishponds
b. Brackishwater, freshwater and marine pens and cages
c. Oyster, mussel and seaweed
d. Other freshwater aquafarms like rice fish, small farm reservoir, etc.
a. Brackishwater and freshwater fishponds
b. Brackishwater, freshwater and marine pens and cages
c. Oyster, mussel and seaweed
d. Other freshwater aquafarms like rice fish, small farm reservoir, etc.
Producers and sponsors
Name | Abbreviation | Role |
---|---|---|
Government of the Philippines | GOP | Full funding |
Sampling
QAqS is a non-probability survey. During its field operations in the First Quarter 2020 round, it initially adopted the updated List of Aquafarms from the 2017 Updating of List of Aquaculture Farms (ULAF) as its new sampling frame. It replaced the Aquaculture Farm Inventory (AqFI).
The QAqS has province for its domain. The sampling procedure was done by aquafarm type in the province.
By aquafarm type, municipalities were ranked according to total area of aquafarms based on ULAF. Municipalities with cumulative share of at least 80% to total area were taken as sample municipalities.
For each sample municipality, eight (8) sample aquafarms were selected, if the number of aquafarms in the municipality is more than 25. If the number of aquafarms is 25 or less, five (5) sample aquafarms were selected. A total of 6662 sample aquafarms were covered nationwide.
The selected aquafarms serve as the samples for the regular conduct of QAqS.
The QAqS has province for its domain. The sampling procedure was done by aquafarm type in the province.
By aquafarm type, municipalities were ranked according to total area of aquafarms based on ULAF. Municipalities with cumulative share of at least 80% to total area were taken as sample municipalities.
For each sample municipality, eight (8) sample aquafarms were selected, if the number of aquafarms in the municipality is more than 25. If the number of aquafarms is 25 or less, five (5) sample aquafarms were selected. A total of 6662 sample aquafarms were covered nationwide.
The selected aquafarms serve as the samples for the regular conduct of QAqS.
No deviation from the survey design
Response rate for quarterly aquaculture survey was 85%. This accounted for farms in operation and those without harvest during the reference period.
QAqS is a non-probability survey. As such, no weighing procedure is applied.
Data Collection
Start | End | Cycle |
---|---|---|
2020-03-23 | 2020-03-26 | First Quarter |
2020-06-22 | 2020-06-25 | Second Quarter |
2020-09-21 | 2020-09-24 | Third Quarter |
2021-08-18 | 2020-11-26 | Fourth Quarter |
Face-to-face [f2f]
The Regional Director (RD) who is the head of RSSO was responsible for the regional level monitoring and supervision of the survey operations of the Provincial Statistics Offices (PSOs).
The Provincial Statistics Officer provided the over-all supervision in the province. Among the responsibilities of the supervisor were to conduct SR training prior to data collection, assign area of coverage, schedule the data collection and ensure completeness of the accomplished survey forms. To ensure the smooth implementation of data collection, the PSO conducted spot-checking and back checking activities and addressed problems encountered by the SRs under his/her supervision. The Statistical Operations and Coordination Division (SOCD) Chief also provided another level of supervision. And sometimes, Central Office personnel became available to provide support and control of the said activities.
The Provincial Statistics Officer provided the over-all supervision in the province. Among the responsibilities of the supervisor were to conduct SR training prior to data collection, assign area of coverage, schedule the data collection and ensure completeness of the accomplished survey forms. To ensure the smooth implementation of data collection, the PSO conducted spot-checking and back checking activities and addressed problems encountered by the SRs under his/her supervision. The Statistical Operations and Coordination Division (SOCD) Chief also provided another level of supervision. And sometimes, Central Office personnel became available to provide support and control of the said activities.
There were five (5) QAqS survey forms written in English that were being used depending on the type of aquafarm. The data sets were the same for all the forms except for the section on species cultured applicable to the type of aquafarm.
- QAqS Form 1 - Fishpond
- QAqS Form 2 - Pen and Cage
- QAqS Form 3 - Oyster, Mussel and Seaweed
- QAqS Form 4 - Hatchery*
- QAqS Form 5 - Other Freshwater Farms
All survey forms were provided as technical documents, except QAqS Form 4 for Hatchery which was not covered in survey.
* QAqS Form 4 - Hatchery is used to collect data on fry/fingerling production and price. However, the data gathered is not included in estimation of aquaculture production.
- QAqS Form 1 - Fishpond
- QAqS Form 2 - Pen and Cage
- QAqS Form 3 - Oyster, Mussel and Seaweed
- QAqS Form 4 - Hatchery*
- QAqS Form 5 - Other Freshwater Farms
All survey forms were provided as technical documents, except QAqS Form 4 for Hatchery which was not covered in survey.
* QAqS Form 4 - Hatchery is used to collect data on fry/fingerling production and price. However, the data gathered is not included in estimation of aquaculture production.
Name | Abbreviation | Affiliation |
---|---|---|
Philippine Statistics Authority | PSA | National Economic Development Authority (NEDA) |
Data Processing
Initially, the survey returns were manually edited to ensure completeness and accuracy. During this stage, survey returns were 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 were then again inspected and reviewed for completeness, accuracy and consistency with other items.
After encoding, the entries were then again inspected and reviewed for completeness, accuracy and consistency with other items.
Data Appraisal
Since quarterly survey was done through interviews of key informants, validation of responses was 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. The use of auxiliary information was also one way of validating data generated by the survey. Examples of these are the programs of the Bureau of Fisheries and Aquatic Resources (BFAR) for uplifting the aquaculture sector, record of weather disturbances and the provinces affected by the calamity and, existing fishery laws. Comparing current estimates with the time series of aquaculture data was also another way of appraising survey results.
To ensure the quality of data, the generated outputs had to undergo data review and validation. Data review involves internal checks of the data collected, consistency and completeness check of data items and; detection and correction of identified errors. Data validation, on the other hand, ensures that the estimates generated are truly reflective of the current fisheries situation. It involves thorough analysis of the generated estimates with auxiliary information.
Data review was undertaken in three (3) levels: provincial, regional and national levels which are identified as Provincial Data Review (PDR), Regional Data Review (RDR) and National Data Review (NDR), respectively.
To ensure the quality of data, the generated outputs had to undergo data review and validation. Data review involves internal checks of the data collected, consistency and completeness check of data items and; detection and correction of identified errors. Data validation, on the other hand, ensures that the estimates generated are truly reflective of the current fisheries situation. It involves thorough analysis of the generated estimates with auxiliary information.
Data review was undertaken in three (3) levels: provincial, regional and national levels which are identified as Provincial Data Review (PDR), Regional Data Review (RDR) and National Data Review (NDR), respectively.
Data access
Name | Affiliation | URI | |
---|---|---|---|
National Statistician | Philippine Statistics Authority | info@psa.gov.ph | www.psa.gov.ph |
Authorization to use this data is granted only to the client or data user and persons within its organization, if applicable. Under no circumstances shall the client reproduce, distribute, sell or lend the entire data or parts thereof to any other data user apart from himself or that of authorized employees in his organization. The PSA shall hold the data user fully responsible for safeguarding the data from any unauthorized access or use. Before being granted access to the dataset, all users have to formally agree: To make no copies of any files or portions of files to which they are granted access except those authorized by the PSA.
Not to use any technique in an attempt to learn the identity of any person, establishment, or sampling unit not identified in the dataset. To hold in strictest confidence the identification of any establishments or individuals that may be inadvertently revealed in any documents or discussion, or analysis. Such inadvertent identification revealed in their analyses should immediately be reported to the PSA.
Not to use any technique in an attempt to learn the identity of any person, establishment, or sampling unit not identified in the dataset. To hold in strictest confidence the identification of any establishments or individuals that may be inadvertently revealed in any documents or discussion, or analysis. Such inadvertent identification revealed in their analyses should immediately be reported to the PSA.
Disclaimer and copyrights
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.
(c) 2020, Philippine Statistics Authority
contacts
Name | Affiliation | URI | |
---|---|---|---|
Chief, Knowledge Management and Communications Division | Philippine Statistics Authority | info@psa.gov.ph | www.psa.gov.ph |
Chief, Fisheries Statistics Division | Philippine Statistics Authority | fsd.staff@psa.gov.ph; fsdco.psa@gmail.com |