BCG immunization coverage among 1-year-olds (%) (WUENIC)
BCG immunization coverage among 1-year-olds (%) (WUENIC) Source: WHO Global Health Observatory (indicator WHS4_543). Rows are country x year; sex-disaggregated rows carry a sex label.
Source: WHO Global Health Observatory4,117 rowsUpdated: 9/21/2026
immunizationbcgvaccineswho
Quality
97
Attribution
World Health Organization (WHO)
Schema
| Column | Type | Description |
|---|---|---|
| country_code | string | Country code (WHO GHO API field SpatialDim, country-level rows only). |
| country_name | string | Country name from the WHO GHO COUNTRY dimension labels. |
| year | integer | Year of observation (WHO GHO API field TimeDim). |
| value | float | Estimate value for the country, year (and sex where present), as defined by the WHO GHO indicator (see the dataset description; WHO GHO API field NumericValue). |
Sample rows
| country_code | country_name | year | value |
|---|---|---|---|
| AFG | AFG | 2000 | 30 |
| AFG | AFG | 2001 | 43 |
| AFG | AFG | 2002 | 46 |
| AFG | AFG | 2003 | 44 |
| AFG | AFG | 2004 | 51 |
Use with an LLM
Point any LLM at the metadata endpoint — the documentation above is machine-readable too (JSON-LD + Croissant).
cURL
curl "https://datazimuts.com/v1/datasets/who_gho/bcg_immunization_coverage" | jq '{title, rows, columns_count, license}'Python
import requests
ds = requests.get("https://datazimuts.com/v1/datasets/who_gho/bcg_immunization_coverage").json()
print(ds["title"], ds["rows"], "rows")
# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
print(row)API endpoint: https://datazimuts.com/v1/datasets/who_gho/bcg_immunization_coverage
Tip: fetch /llms.txt for the full machine-readable catalog.