Civic health intelligence
The healthcare access map of Indonesia.
A provincial view of hospital density, capacity, quality, and specialty breadth — turned into a single composite index so gaps become visible at a glance.
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Hospitals mapped
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Provinces covered
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Total bed capacity
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Avg. rating
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24h ER capable
Healthcare Access Index · by province
Who has access — and who doesn't.
StrongModerateUnderserved
HAI is a min-max-normalized composite of hospital density (30%), bed capacity (30%), average rating (20%), and specialty breadth (20%). Normalized across provinces in the dataset. See the About page for the full methodology.
Stronger access
0
provinces
At or above the 55 HAI threshold
Underserved
0
provinces
Below the 25 HAI threshold
Interpretation
These tiers are relative to this dataset, not a national census. A "moderate" region here may still serve its population well — and a "strong" region may still have rural pockets that are underserved. This is a starting point for conversation, not a conclusion.
Specialty coverage
Which services are most widely available?
Number of hospitals in the dataset offering each specialty.
Capacity distribution
Bed capacity per province
Gap focus
What underservice looks like, concretely
No provinces currently below the underserved threshold in this dataset.
Dataset scope. These insights are computed from the hospitals represented in this MVP and are not normalized against province population. A production deployment would combine Kemenkes facility data with BPS population statistics for a true per-capita access measure.