09 June 2025 – CALAPAN CITY, ORIENTAL MINDORO. The Philippine Statistics Authority (PSA), Oriental Mindoro will conduct the Quarterly Inland Fisheries Survey (QIFS) and Quarterly Aquaculture Fisheries Survey (QAqS) for the Second Quarter of 2025. A total of seven Statistical Researchers (SRs) will be involved in the collection of data from 16 to 27 June 2025.

The Quarterly Fisheries Survey aims to generate volume and value of fisheries production by species and quarter at the provincial, regional, and national levels. Aside from its input to policy making and program implementation, the statistics will also provide an estimation of the performance of agriculture sector in the province.

In Oriental Mindoro, the 124 sample households for the QIFS are located in the municipalities of Bongabong, Pinamalayan, Victoria, Socorro, and Naujan. These samples were randomly selected from the sampling frame containing the list of inland households from the 2012 Census of Agriculture and Fisheries (CAF) using a two-stage probability proportional to size sampling design.

Further for QAqS, there are 210 sample aquafarms located across the city/municipalities of Oriental Mindoro, all of which were derived from the 2023 Updating of List of Aquaculture Farms (ULAF) using the single-stage probability proportional to size (pps) method of sample selection.

The Provincial Focal Person (PFP) for the said surveys are allotted days to supervise inland fishing households and aquafarms to confirm that all operational concepts are followed, thereby ensuring reliability and accuracy of collected data.

The PSA is committed to deliver relevant and reliable statistics. Hence, the agency encourages the public, especially the sample households, to participate in the various censuses and surveys conducted by the PSA. The agency also assures that all collected personal information are processed in accordance with the law and other issuances.

(SGD) CHARLYN ROMERO- CANTOS, PhD
(Chief Administrative Officer)
Officer-in-Charge
Oriental Mindoro Provincial Statistical Office
HTD/MCLQ