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 rowsUpdated: 9/22/2026

longevitylife-expectancymortalitywhoconvergencedemographicssignals

Quality

92.6

Attribution

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

Schema

Column	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

Sample rows

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

Download sample data

Download the full sample snapshot for this dataset (sample rows, not the complete dataset).

Download sample CSV Download sample JSON

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/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)

API endpoint: https://datazimuts.com/v1/datasets/longevity_convergence_signals/global_longevity_convergence_signals

Tip: fetch /llms.txt for the full machine-readable catalog.