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Prevalence of HIV among adults aged 15 to 49 (%)

Prevalence of HIV among adults aged 15 to 49 (%) Source: WHO Global Health Observatory (indicator MDG_0000000029). Rows are country x year; sex-disaggregated rows carry a sex label.

Source: WHO Global Health Observatory3,710 lignesMis à jour: 21/09/2026
hivprevalencewho

Qualité

97

Attribution

World Health Organization (WHO)

Schéma

ColonneTypeDescription
country_codestringCountry code (WHO GHO API field SpatialDim, country-level rows only).
country_namestringCountry name from the WHO GHO COUNTRY dimension labels.
yearintegerYear of observation (WHO GHO API field TimeDim).
valuefloatEstimate 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).
lowfloatLower bound of the published uncertainty interval (WHO GHO API field Low). Only present when the indicator publishes uncertainty intervals.
highfloatUpper bound of the published uncertainty interval (WHO GHO API field High). Only present when the indicator publishes uncertainty intervals.

Exemple de lignes

country_codecountry_nameyearvaluelowhigh
AFGAFG20000.10.10.1
AFGAFG20010.10.10.1
AFGAFG20020.10.10.1
AFGAFG20030.10.10.1
AFGAFG20040.10.10.1

Utiliser avec un LLM

Dirigez n’importe quel LLM vers le point d’accès des métadonnées — la documentation ci-dessus est aussi lisible par machine (JSON-LD + Croissant).

cURL

curl "https://datazimuts.com/v1/datasets/who_gho/hiv_prevalence_15_49" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/who_gho/hiv_prevalence_15_49").json()
print(ds["title"], ds["rows"], "rows")

# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
    print(row)

Point d’accès API: https://datazimuts.com/v1/datasets/who_gho/hiv_prevalence_15_49

Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.