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 rowsUpdated: 9/22/2026

living-standardsincomegdp-per-capitapppinequalityconvergencecatch-upprosperityanomaly-detectionforecastingsignalsimf

Quality

91.2

Attribution

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

Schema

Column	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

Sample rows

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

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/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)

API endpoint: https://datazimuts.com/v1/datasets/living_standards_signals/global_living_standards_signals

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