healthcarehealthcareglobalworld-bankhealth-expenditurelife-expectancymortalityimmunizationinfrastructurepanel-datacountry-level

Healthcare Infrastructure & Expenditure

1970–2023

Free

Open dataset

Sample structure: 84.1 / 100

8 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: 1970–2023
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 Coverage is stated by the supplier; it has not been verified against every record in the full file.

Sample structure score: 84.1 / 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	34.1 / 50	184 of 270 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	184 of 184 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_code	0 / 10	string	0 / 10
country_name	0 / 10	string	0 / 10
who_region	0 / 10	string	0 / 10
income_group	3 / 10	string	0 / 7
year	0 / 10	number	0 / 10
population	0 / 10	number	0 / 10
urban_population_pct	0 / 10	number	0 / 10
gdp_per_capita_usd	3 / 10	number	0 / 7
health_expenditure_pct_gdp	7 / 10	number	0 / 3
health_expenditure_per_capita_usd	7 / 10	number	0 / 3
hospital_beds_per_1000	6 / 10	number	0 / 4
physicians_per_1000	6 / 10	number	0 / 4
nurses_midwives_per_1000	6 / 10	number	0 / 4
life_expectancy_total	0 / 10	number	0 / 10
life_expectancy_male	0 / 10	number	0 / 10
life_expectancy_female	0 / 10	number	0 / 10
infant_mortality_per_1000	0 / 10	number	0 / 10
under5_mortality_per_1000	0 / 10	number	0 / 10
maternal_mortality_per_100k	3 / 10	number	0 / 7
immunization_measles_pct	4 / 10	number	0 / 6
immunization_dpt_pct	4 / 10	number	0 / 6
tuberculosis_incidence_per_100k	5 / 10	number	0 / 5
hiv_incidence_per_1000	4 / 10	number	0 / 6
overweight_pct_children_under5	9 / 10	number	0 / 1
stunting_pct_children_under5	9 / 10	number	0 / 1
basic_water_access_pct	5 / 10	number	0 / 5
basic_sanitation_access_pct	5 / 10	number	0 / 5

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

About this data

Panel dataset of 27 health and socioeconomic indicators across 221 countries covering healthcare expenditure, infrastructure (beds, physicians, nurses), health outcomes (life expectancy, mortality), disease burden (TB, HIV, immunization), nutrition, and WASH access. Core indicators near-complete; specialized metrics concentrated in 2000–2022.

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 eb922319-f9ca-432e-a031-1177dd193216 --output dataset.bin

Full supplier documentation

Original supplier listing: Healthcare Infrastructure & Expenditure — 221 Countries (1970–2023) A detailed panel dataset covering 221 countries and territories from 1970 to 2023 with 27 indicators spanning healthcare infrastructure, expenditure, health outcomes, disease burden, and socioeconomic context. ## Sources - **World Bank World Development Indicators (WDI)** — primary source for all 22 health and socioeconomic indicators - **WHO Global Health Observatory** — regional classification (WHO regions: AFRO, AMRO, EMRO, EURO, SEARO, WPRO) - **World Bank Income Classifications** — derived income group (Low, Lower-middle, Upper-middle, High) based on GNI per capita thresholds ## Key Indicators - **Health Expenditure:** % of GDP, per capita (USD) - **Infrastructure:** Hospital beds, physicians, nurses & midwives per 1,000 population - **Health Outcomes:** Life expectancy (total, male, female), infant and under-5 mortality, maternal mortality - **Disease Burden:** TB incidence, HIV incidence, immunization rates (measles, DPT) - **Nutrition:** Child stunting and overweight prevalence - **WASH:** Basic water and sanitation access - **Context:** Population, urbanization rate, GDP per capita, WHO region, income group ## Coverage - **11,929 rows** × 27 columns - 221 countries/territories, 54 years (1970–2023) - Core indicators (life expectancy, mortality, population) have near-complete coverage; specialized indicators (health expenditure, infrastructure) concentrated in 2000–2022 ## Use Cases - Cross-country health system comparisons - Longitudinal analysis of health outcomes vs. spending - SDG progress tracking (Goal 3: Good Health & Well-Being) - Income-group or regional health disparity analysis - Predictive modeling of health outcomes from infrastructure investments

Schema

Name	Type	Description
country_code	string
country_name	string
who_region	string
income_group	string
year	string
population	string
urban_population_pct	string
gdp_per_capita_usd	string
health_expenditure_pct_gdp	string
health_expenditure_per_capita_usd	string
hospital_beds_per_1000	string
physicians_per_1000	string
nurses_midwives_per_1000	string
life_expectancy_total	string
life_expectancy_male	string
life_expectancy_female	string
infant_mortality_per_1000	string
under5_mortality_per_1000	string
maternal_mortality_per_100k	string
immunization_measles_pct	string
immunization_dpt_pct	string
tuberculosis_incidence_per_100k	string
hiv_incidence_per_1000	string
overweight_pct_children_under5	string
stunting_pct_children_under5	string
basic_water_access_pct	string
basic_sanitation_access_pct	string

Sample Data

Preview a sample of the data before downloading.

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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 Infrastructure & Ex" })
// Found: eb922319-f9ca-432e-a031-1177dd193216
get_download_url({ dataset_id: "eb922319-f9ca-432e-a031-1177dd193216" })  // 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/eb922319-f9ca-432e-a031-1177dd193216/download-url -H "Authorization: Bearer $DATABAZAAR_API_KEY"