Global education-spending signals

Name: Global education-spending signals
Creator: Education Spending Signals (derived)
License: https://www.worldbank.org/en/about/legal/terms-of-use
Keywords: education, human-capital, unesco, world-bank, wdi, fiscal, development, rankings, momentum, anomaly-detection, forecasting, signals

Annual government education-expenditure signals from the World Bank World Development Indicators (UNESCO via WDI, 1970 ->, % of GDP, keyless): per-economy 5-year changes, 10-year OLS trend slopes, 3-sigma anomaly flags, linear-extrapolation forecasts, 10-year z-scores, per-year cross-country ranks, and high/low spender and investment-push flags. The education-investment lens — which governments are building human capital and which are disinvesting — not covered elsewhere in the catalog. Country labels normalized to ISO alpha-3. Raw data: World Bank WDI indicator SE.XPD.TOTL.GD.ZS.

Source: Education Spending Signals (derived)5,432 rowsUpdated: 9/22/2026License: CC-BY-4.0

educationhuman-capitalunescoworld-bankwdifiscaldevelopmentrankingsmomentumanomaly-detectionforecastingsignals

Quality

95.3

Attribution

World Bank, World Development Indicators (derived signals by Frontier Data Hub)

Schema

Column	Type	Description
date	string	Reference year (World Bank WDI, annual).
country	string
country_code	string
series_id	string	World Bank WDI indicator code: SE.XPD.TOTL.GD.ZS (government expenditure on education, total, as a percent of GDP).
series_label	string	Indicator title as published in the World Bank World Development Indicators.
value	float	General government expenditure on education (current, capital, and transfers) expressed as a percentage of GDP. Includes expenditure funded by transfers from international sources to government. General government usually refers to local, regional and central governments.
change_5y_pp	float
trend_slope_10y	float
anomaly_flag	integer
forecast_5y	float
spend_z_10y	float
rank	integer
high_edu_flag	integer
low_edu_flag	integer
rising_flag	integer

Sample rows

date	country	country_code	series_id	series_label	value	change_5y_pp	trend_slope_10y	forecast_5y	spend_z_10y	rank
1998-01-01	Aruba	ABW	SE.XPD.TOTL.GD.ZS	Government expenditure on education, total (% of GDP)	4.76316022872925	—	—	—	—	25
1999-01-01	Aruba	ABW	SE.XPD.TOTL.GD.ZS	Government expenditure on education, total (% of GDP)	4.39526987075806	—	—	—	—	54
2000-01-01	Aruba	ABW	SE.XPD.TOTL.GD.ZS	Government expenditure on education, total (% of GDP)	4.71468019485474	—	—	—	—	46
2001-01-01	Aruba	ABW	SE.XPD.TOTL.GD.ZS	Government expenditure on education, total (% of GDP)	4.79898023605347	—	—	—	—	47
2002-01-01	Aruba	ABW	SE.XPD.TOTL.GD.ZS	Government expenditure on education, total (% of GDP)	4.87220001220703	—	0.06217899322509663	5.183094978332513	—	46

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/education_spending_signals/global_education_spending_signals" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/education_spending_signals/global_education_spending_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/education_spending_signals/global_education_spending_signals

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