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Philippine
Statistics ExplorerPUBLIC PREVIEW
REGIONAL · DISCOVER THE DATA

Start with a place.
Find its data.

Find the datasets behind regional economies, livelihoods and daily life. Build your starting list for analysis.

From PSA OpenSTAT · Snapshot 2 Oct 2026

Browse region coverage Region names, dataset counts & historical labels

Counts include regional values and title matches. One dataset can appear under several regions.

Historical & combined source labels

Listed separately so earlier geographic definitions remain visible.

Autonomous Region in Muslim Mindanao 249Southern Tagalog 7Western Mindanao 4Southern Mindanao 4Central Mindanao 4ARMM / BARMM combined source label 17
BUILD YOUR RESEARCH LIST

Find regional datasets

Download inventory CSV ↓

1,343 datasets · Region X

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A region label shows that an entry exists in the source metadata. Values may be missing for some years. Check boundaries, units and source notes before comparing datasets.

Sustainable Development GoalsRegional values

4.1.2 Completion rate

Year labels: 2000–2026Updated 22 Sept 2026
BEFORE THE ANALYSIS

Know what you’re starting with.

We inspected the dimension dictionaries of 3,661 published snapshots. 17 catalog entries do not have a matching audited dictionary.

Three ways a region appears

Regional values: recognized names in a geography dimension. Combined dimension: regions appear alongside demographics or inside indicator labels. Region in title: a candidate for review without an identified region selector.

Keep the source geography intact

Spelling and formatting variants are grouped for discovery. ARMM, BARMM and combined ARMM/BARMM labels remain separate, as do older regional names. NIR and other regions may cover different places in different releases. No provinces are reassigned, observations aggregated or boundaries harmonized.

Year ranges summarize labels across the dataset; they do not confirm observations for each region or continuous coverage. The CSV is a metadata inventory, not a download of statistical values.

PSA geographic classification ↗ · Query selected observations with the API ↗