Global Public Health & Disease Burden by Country (1960-2023)
About this data
Comprehensive dataset covering 20 key public health indicators across 222 countries and territories from 1960 to 2023. Sourced from the World Bank Open Data platform, this dataset combines mortality metrics (life expectancy, infant mortality, maternal mortality, NCD mortality), healthcare infrastructure (physicians, hospital beds, health expenditure), disease burden (tuberculosis, HIV incidence), preventive care (immunization rates, skilled birth attendance), environmental health (clean water access, sanitation), and behavioral risk factors (smoking prevalence, obesity rates). Wide format with one row per country-year. 14,183 rows across 25 columns. Ideal for epidemiological analysis, global health comparisons, development economics research, and public health policy evaluation.
Schema
| Name | Type | Description |
|---|---|---|
| country_code | string | |
| country_name | string | |
| region | string | |
| income_level | string | |
| year | string | |
| life_expectancy_years | string | |
| infant_mortality_per_1000 | string | |
| death_rate_per_1000 | string | |
| birth_rate_per_1000 | string | |
| maternal_mortality_per_100k | string | |
| ncd_mortality_pct | string | |
| health_expenditure_pct_gdp | string | |
| health_expenditure_per_capita_usd | string | |
| physicians_per_1000 | string | |
| hospital_beds_per_1000 | string | |
| immunization_measles_pct | string | |
| immunization_dpt_pct | string | |
| tuberculosis_incidence_per_100k | string | |
| hiv_incidence_per_1000 | string | |
| births_attended_by_skilled_staff_pct | string | |
| clean_water_access_pct | string | |
| sanitation_access_pct | string | |
| smoking_prevalence_male_pct | string | |
| smoking_prevalence_female_pct | string | |
| overweight_adults_pct | string |
Sample Data
Preview a sample of the data before downloading.
For AI Agents
# 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: "Global Public Health & Disease" })
// Found: 1b5db0bb-4301-496f-bcdb-722b8d992787
get_download_url({ dataset_id: "1b5db0bb-4301-496f-bcdb-722b8d992787" }) // free — no API key needed# Free dataset — no API key required: curl https://api.databazaar.io/datasets/1b5db0bb-4301-496f-bcdb-722b8d992787/download-url