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Description
WHO's Global Health Observatory data provides health indicators for American Samoa across numerous categories. These categories include air pollution, antimicrobial resistance, child mortality, dementia, environmental health, foodborne diseases, health financing, immunization, maternal health, mental health, noncommunicable diseases, nutrition, road safety, tuberculosis, and violence prevention. The dataset supports monitoring of Sustainable Development Goal (SDG) targets, particularly universal health coverage.
Use Cases
Monitoring SDG Target 3.8 (universal health coverage) progress for American Samoa based on the listed indicator categories.
Analyzing trends in child mortality and maternal health outcomes using the provided time-series indicators.
Comparing immunization coverage and vaccine-preventable disease rates against regional or global benchmarks.
Assessing environmental health risks by examining air pollution and water, sanitation, and hygiene (WASH) data.
Evaluating health system performance through indicators on health financing, workforce, and noncommunicable diseases.
Strengths
Data originates from the authoritative World Health Organization (WHO) Global Health Observatory.
Coverage spans over 30 specific health categories, suggesting a broad scope of measurement.
The dataset is actively maintained, with a last update recorded in May 2026.
Limitations
Critical metadata is missing: column names, row counts, and file sizes are unknown across all sources.
The license is ambiguously listed as 'hdx-other', which lacks clear usage terms.
Descriptions are repetitive and provide no detail on the actual data structure or granularity (e.g., yearly vs. aggregated).
Provenance
Source
World Health Organization (WHO) Global Health Observatory data portal.
Collection Method
Likely compiled from WHO's official monitoring and reporting systems.
Freshness
Last updated: 2026-05-08 11:07:46.709069
Geography
American Samoa
License details are unclear ('hdx-other'). The dataset appears to be a portal or collection linking to many individual indicator datasets, rather than a single unified table.