The Philippine Statistics Authority (PSA)-Marinduque, through PPA Focal Person, Statistical Analyst Cedric H. Montiano and PPA-COSW Kane Carol T. Matibag, took part in the June 17–19, 2025 Training-Workshop on Data to Compilation of Provincial Product Accounts (PPA), in preparation for the 2024 PPA Dissemination Fora scheduled on September–October 2025. Batch 1 of the workshop included representatives from the National Capital Region, the Cordillera Administrative Region, Regions I, II, III, IV-A, V, and MIMAROPA.

The three-day workshop aimed to enhance the technical skills and competencies of regional and provincial staff in the generation and analysis of Provincial Product Accounts. The training sessions covered a comprehensive set of topics, beginning with the overview of the System of National Accounts and the responsibilities of PPA personnel. Participants were introduced to the methodologies for linking benchmark and non-benchmark estimates, using the single extrapolation method, and identifying major data sources in the estimation of PPA. 

Hands-on workshops focused on the processing of data from Business Permit and Licensing Offices (BPLOs), as well as the use of financial records from the Commission on Audit (COA), Annual Budget Reports (ABR), and Statement of Receipts and Expenditures (SRE). The final day of the training involved presentation of outputs, analysis of results, and strategic discussions on the next steps for provincial implementation.

This training is part of PSA’s continuing efforts in the institutionalization of PPA as a tool for localized economic planning and policy development. PSA Marinduque’s participation plays a vital role in the upcoming 2024 PPA Dissemination Fora scheduled in October 2025, where updated economic indicators for the province will be shared with local stakeholders.

For any questions or further clarification, please reach us via email at marinduque@psa.gov.ph. Alternatively, you can also reach us via our landline numbers: (042)332-0848 or (042)754-0024.

(SGD)GEMMA N. OPIS
Chief Statistical Specialist

GNO/KLM