Global living-standards signals (GDP per capita PPP, ranks, catch-up)

Name: Global living-standards signals (GDP per capita PPP, ranks, catch-up)
Creator: Global Living-Standards Signals (derived)
License: https://www.imf.org/en/Terms
Keywords: living-standards, income, gdp-per-capita, ppp, inequality, convergence, catch-up, prosperity, anomaly-detection, forecasting, signals, imf

Yearly global living-standards signals from IMF DataMapper GDP per capita at purchasing power parity (PPPPC, ~190 economies, 1980 ->, WEO projections as published): 5- and 10-year changes, 10-year OLS trend slopes, 3-sigma anomaly flags, linear 5-year forecasts, 10-year income z-scores, per-year global income ranks, high/low-income flags and a catch-up (convergence) flag. The living-standards lens on the world economy — income levels, not growth rates. Companion to imf-global-real-gdp-growth-signals (rates) and global-debt-signals (fiscal stock). All rows carry canonical country_code labels. Raw indicator: International Monetary Fund, DataMapper.

Source: Global Living-Standards Signals (derived)9,268 lignesMis à jour: 22/09/2026

living-standardsincomegdp-per-capitapppinequalityconvergencecatch-upprosperityanomaly-detectionforecastingsignalsimf

Qualité

91.2

Attribution

International Monetary Fund, DataMapper (derived signals by Frontier Data Hub)

Schéma

Colonne	Type	Description
date	string	Reference year (IMF DataMapper annual; includes WEO projections as published).
country	string
country_code	string
series_id	string	IMF DataMapper indicator code: PPPPC (GDP per capita, constant prices, purchasing power parity).
series_label	string	Indicator title as published in the IMF DataMapper.
value	float	GDP per capita, constant prices, purchasing power parity, in international dollars (IMF DataMapper PPPPC).
change_5y	float
change_10y_pct	float
trend_slope_10y	float
anomaly_flag	integer
forecast_5y	float
income_z_10y	float
rank	integer
high_income_flag	integer
low_income_flag	integer
catchup_flag	integer

Exemple de lignes

date	country	country_code	series_id	series_label	value	change_5y	change_10y_pct	trend_slope_10y	forecast_5y	income_z_10y	rank
1986-01-01	Aruba	ABW	PPPPC	GDP per capita, constant prices, purchasing power parity (international dollars)	8114.188	—	—	—	—	—	45
1987-01-01	Aruba	ABW	PPPPC	GDP per capita, constant prices, purchasing power parity (international dollars)	9229.281	—	—	—	—	—	40
1988-01-01	Aruba	ABW	PPPPC	GDP per capita, constant prices, purchasing power parity (international dollars)	10969.003	—	—	—	—	—	36
1989-01-01	Aruba	ABW	PPPPC	GDP per capita, constant prices, purchasing power parity (international dollars)	12568.694	—	—	—	—	—	35
1990-01-01	Aruba	ABW	PPPPC	GDP per capita, constant prices, purchasing power parity (international dollars)	13414.113	—	—	1393.9262999999994	20383.744499999997	—	36

Télécharger un échantillon

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

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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/living_standards_signals/global_living_standards_signals" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/living_standards_signals/global_living_standards_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/living_standards_signals/global_living_standards_signals

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