scientifichealthcare

Healthcare Access & Outcomes Index

2024

Free

Open dataset

Sample structure: 95 / 100

6 download links issued

Seller: waseemahmad

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Source, license and coverage

Supplier documentation. These claims are separate from the automated sample score. A listing edit date is not a data freshness date.

License: Not documented — confirm reuse terms with the seller
Source / creator: Supplier-cited: World Bank Open Data; WHO Global Health Observatory
Collection method: uploaded
Coverage / snapshot: 2024
Data last updated: Not documented
Update schedule: Not documented

Source documentation ↗

Source attribution is supplier-reported. The source link identifies publisher documentation; it does not independently verify this uploaded extract. Other cited publishers: WHO Global Health Observatory: https://www.who.int/data/gho

Sample structure score: 95 / 100

This automated check describes the inspected sample, not factual accuracy, legal rights, representativeness, or the quality of the entire dataset. It is not a customer rating.

Assessed 10 sample records (CSV) on 2026-10-09. All records in the provided sample were checked.

Check	Points	Evidence
Populated cells	45 / 50	99 of 110 top-level cells contain a value. Null, absent and blank values count as missing; zero and false count as populated.
Consistent value types	30 / 30	99 of 99 populated cells match their column's most common observed type. Types are inferred, not checked against real-world truth.
Consistent record shape	20 / 20	10 of 10 records have the expected fields. CSV/TSV use the header width; JSON uses the union of observed keys.

Field-level findings and improvements

Check missing cells and mixed types below. Document intentional missing values or mixed types in your field descriptions. Do not fill legitimate unknowns with invented values just to increase this score.

Field	Missing cells	Most common type	Other populated types
country	0 / 10	string	0 / 10
iso3_code	0 / 10	string	0 / 10
region	0 / 10	string	0 / 10
life_expectancy_years	0 / 10	number	0 / 10
uhc_coverage_index	4 / 10	number	0 / 6
physicians_per_10k_pop	3 / 10	number	0 / 7
health_expenditure_per_capita_usd	0 / 10	number	0 / 10
hospital_beds_per_1000_pop	4 / 10	number	0 / 6
infant_mortality_per_1000_births	0 / 10	number	0 / 10
maternal_mortality_per_100k_births	0 / 10	number	0 / 10
healthcare_access_score	0 / 10	number	0 / 10

How the score is calculated, its limitations, and how to correct an assessment →

About this data

Multi-source index combining WHO Global Health Observatory indicators (physicians per capita, hospital beds per 1,000, essential service coverage) with World Bank development indicators (life expectancy, infant mortality, health expenditure as % of GDP). Includes normalized composite scores and underlying component metrics for custom reweighting.

Retrieve with your agent or Python

Create an account and configure DATABAZAAR_API_KEY. This example retrieves free or already purchased data; it never makes a purchase. For a multi-file dataset, choose a file index from the manifest.

Download the Python example

python3 retrieve-dataset.py d290449c-e342-4393-b4e8-9f815a9e6607 --output dataset.bin

Full supplier documentation

Original supplier listing: Healthcare Access & Outcomes Index — 70 Countries (2024) Multi-source healthcare access and outcomes index covering 70 countries, combining WHO Global Health Observatory indicators (physicians per capita, hospital beds per 1,000, essential service coverage) with World Bank development indicators (life expectancy, infant mortality, health expenditure as % of GDP). Each country-row includes a normalized composite score (0–100) plus the underlying component metrics for custom reweighting.

Schema

Name	Type	Description
country	string
iso3_code	string
region	string
life_expectancy_years	string
uhc_coverage_index	string
physicians_per_10k_pop	string
health_expenditure_per_capita_usd	string
hospital_beds_per_1000_pop	string
infant_mortality_per_1000_births	string
maternal_mortality_per_100k_births	string
healthcare_access_score	string

Sample Data

Preview a sample of the data before downloading.

Public sample only. Sign in to retrieve the full dataset, including free datasets.

For AI Agents

Via MCP Server

# 1. Add to your agent's MCP config (claude_desktop_config.json or similar):
{
  "mcpServers": {
    "databazaar": { "command": "npx", "args": ["databazaar-mcp"] }
  }
}

# 2. Your agent can then call:
search_datasets({ query: "Healthcare Access & Outcomes I" })
// Found: d290449c-e342-4393-b4e8-9f815a9e6607
get_download_url({ dataset_id: "d290449c-e342-4393-b4e8-9f815a9e6607" })  // free — sign in with MCP OAuth first

Via REST API

# Free dataset — sign in or use your account API key:
curl https://api.databazaar.io/datasets/d290449c-e342-4393-b4e8-9f815a9e6607/download-url -H "Authorization: Bearer $DATABAZAAR_API_KEY"