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The UNESCO Institute for Statistics publishes global datasets on education enrolment, literacy rates, research and development spending, and cultural participation across 200+ countries. Used in data engineering for global education analytics, SDG monitoring pipelines, and building development indicator dashboards in Python.
UNESCO UIS data is available via an API and bulk download. Engineers use `requests` against the UIS API with indicator codes and country filters, retrieving JSON data that maps to pandas time-series DataFrames. Bulk CSV downloads are available for offline analysis.
UNESCO education data builds AI knowledge bases for international education analysis. RAG systems indexed on UIS indicators answer 'Which countries have the highest tertiary education enrollment rates?' with official statistics. Education AI models trained on UIS data predict learning outcomes from resource indicators.
# pip install requests pandas
import requests, pandas as pd
resp = requests.get(
"https://api.uis.unesco.org/sdmx/data/UNESCO,EDU_NON_FINANCE,3.0/"
"LR.PT_L3T8._T._T._T._T.INST_T..V?startPeriod=2015&endPeriod=2022",
headers={"Accept": "application/vnd.sdmx.data+csv;version=2.0.0",
"subscription-key": "YOUR_API_KEY"}
)
from io import StringIO
df = pd.read_csv(StringIO(resp.text))
print(df[["REF_AREA", "TIME_PERIOD", "OBS_VALUE"]].head(10))Official dataset source
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