Public Health & Disease Burden
1960–2023
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
- Collection method
- Supplier description: Full-coverage 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.
- Coverage / snapshot
- 1960–2023
- Data last updated
- Not documented
- Update schedule
- Not documented
Source attribution is supplier-reported. The source link identifies publisher documentation; it does not independently verify this uploaded extract. Coverage is stated by the supplier; it has not been verified against every record in the full file.
Sample structure score: 70 / 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 | 20 / 50 | 100 of 250 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 | 100 of 100 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 |
| region | 10 / 10 | unknown | 0 / 0 |
| income_level | 10 / 10 | unknown | 0 / 0 |
| year | 0 / 10 | number | 0 / 10 |
| life_expectancy_years | 0 / 10 | number | 0 / 10 |
| infant_mortality_per_1000 | 5 / 10 | number | 0 / 5 |
| death_rate_per_1000 | 0 / 10 | number | 0 / 10 |
| birth_rate_per_1000 | 0 / 10 | number | 0 / 10 |
| maternal_mortality_per_100k | 6 / 10 | number | 0 / 4 |
| ncd_mortality_pct | 8 / 10 | number | 0 / 2 |
| health_expenditure_pct_gdp | 8 / 10 | number | 0 / 2 |
| health_expenditure_per_capita_usd | 8 / 10 | number | 0 / 2 |
| physicians_per_1000 | 7 / 10 | number | 0 / 3 |
| hospital_beds_per_1000 | 7 / 10 | number | 0 / 3 |
| immunization_measles_pct | 7 / 10 | number | 0 / 3 |
| immunization_dpt_pct | 7 / 10 | number | 0 / 3 |
| tuberculosis_incidence_per_100k | 8 / 10 | number | 0 / 2 |
| hiv_incidence_per_1000 | 7 / 10 | number | 0 / 3 |
| births_attended_by_skilled_staff_pct | 8 / 10 | number | 0 / 2 |
| clean_water_access_pct | 9 / 10 | number | 0 / 1 |
| sanitation_access_pct | 9 / 10 | number | 0 / 1 |
| smoking_prevalence_male_pct | 10 / 10 | unknown | 0 / 0 |
| smoking_prevalence_female_pct | 10 / 10 | unknown | 0 / 0 |
| overweight_adults_pct | 6 / 10 | number | 0 / 4 |
About this data
Dataset of 20 key public health indicators including mortality metrics, healthcare infrastructure, disease burden, preventive care, environmental health, and behavioral risk factors across 222 countries and territories. Sourced from World Bank Open Data; rows with one record per country-year.
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 examplepython3 retrieve-dataset.py 1b5db0bb-4301-496f-bcdb-722b8d992787 --output dataset.bin
Full supplier documentation
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.
Public sample only. Sign in to retrieve the full dataset, including free datasets.
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: "Public Health & Disease Burden" })
// Found: 1b5db0bb-4301-496f-bcdb-722b8d992787
get_download_url({ dataset_id: "1b5db0bb-4301-496f-bcdb-722b8d992787" }) // free — sign in with MCP OAuth first# Free dataset — sign in or use your account API key: curl https://api.databazaar.io/datasets/1b5db0bb-4301-496f-bcdb-722b8d992787/download-url -H "Authorization: Bearer $DATABAZAAR_API_KEY"