Global longevity convergence signals (frontier gaps, catch-up velocity)

Name: Global longevity convergence signals (frontier gaps, catch-up velocity)
Creator: Global Longevity Convergence Signals (derived)
License: https://www.who.int/about/policies/publishing/copyright
Keywords: longevity, life-expectancy, mortality, who, convergence, demographics, signals

Value-added longevity signals from the free WHO Global Health Observatory: life-expectancy frontier gaps and catch-up velocity, healthy-life-expectancy trends, suicide-rate trends and malaria decline, with 3-sigma anomaly flags and cross-country ranks across ~190 countries. All computation is local pandas/numpy; no paid models or APIs.

Source: Global Longevity Convergence Signals (derived)14,890 lignesMis à jour: 22/09/2026

longevitylife-expectancymortalitywhoconvergencedemographicssignals

Qualité

92.6

Attribution

World Health Organization, Global Health Observatory; derived signals by Frontier Data Hub

Schéma

Colonne	Type	Description
date	string	Reference year of the observation (first day of the year), as published in the WHO Global Health Observatory.
country	string
country_code	string
series_id	string	Derived series identifier: LE_BTSX (life expectancy at birth, both sexes), HALE_BTSX (healthy life expectancy, both sexes), SUICIDE_BTSX (age-standardized suicide rate, both sexes), or MALARIA_INC (estimated malaria incidence).
series_label	string	Human-readable indicator label from the WHO Global Health Observatory, naming the indicator, sex scope, and unit.
value	float	Indicator value as published by WHO: life expectancy and healthy life expectancy in years; suicide rate per 100,000 population (age-standardized); malaria incidence per 1,000 population at risk.
gap_to_frontier	float
convergence_velocity_10y	float
trend_10y	float
anomaly_flag	integer
rank	float

Exemple de lignes

date	country	country_code	series_id	series_label	value	gap_to_frontier	convergence_velocity_10y	trend_10y	rank
2000-01-01	Afghanistan	AFG	HALE_BTSX	Healthy life expectancy (HALE) at birth, both sexes (years, WHO Global Health Observatory)	46.02795049	35.50222881	—	—	26
2000-01-01	Angola	AGO	HALE_BTSX	Healthy life expectancy (HALE) at birth, both sexes (years, WHO Global Health Observatory)	42.8471807	38.6829986	—	—	11
2000-01-01	Albania	ALB	HALE_BTSX	Healthy life expectancy (HALE) at birth, both sexes (years, WHO Global Health Observatory)	64.47740779	17.05277151	—	—	138
2000-01-01	United Arab Emirates	ARE	HALE_BTSX	Healthy life expectancy (HALE) at birth, both sexes (years, WHO Global Health Observatory)	67.45345628	14.076723020000003	—	—	165
2000-01-01	Argentina	ARG	HALE_BTSX	Healthy life expectancy (HALE) at birth, both sexes (years, WHO Global Health Observatory)	64.72535308	16.804826219999995	—	—	139

Télécharger un échantillon

Téléchargez l'échantillon complet de ce jeu de données (lignes d'exemple, pas le jeu complet).

Télécharger l'exemple CSV Télécharger l'exemple JSON

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/longevity_convergence_signals/global_longevity_convergence_signals" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/longevity_convergence_signals/global_longevity_convergence_signals").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/longevity_convergence_signals/global_longevity_convergence_signals

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