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Temiwaji/education-fertility-ssa

Domaine:

socioeconomiceducation

Type de record:

dataset
Créateur:
Tem
Hôte:
Composite risk score integrating World Bank education and adolescent fertility indicators across Sub-Saharan Africa # Education Outcomes and Adolescent Fertility in Sub-Saharan Africa **An indicator framework and composite risk index built from World Bank data for 48 countries.** This project takes four separate indicator series, standardises them into one comparable country-level dataset, applies documented data quality rules, and combines them into a transparent composite index with an interactive dashboard. It is a worked example of the problem most results frameworks face: turning inconsistent, differently-dated, partially-missing indicator data from multiple sources into evidence a decision-maker can use, without hiding the compromises made along the way. ## Why this matters Adolescent fertility and girls' education are tightly linked. More schooling is associated with fewer adolescent births, and early childbearing pulls girls out of school. Programmes working on either issue need to know where the two challenges overlap, because those are the places a combined intervention matters most. Four separate indicator tables make that hard to see; one well-constructed, well-documented composite makes it visible at a glance, provided its limitations are stated openly. ## Indicator framework | Indicator | Source code | Direction | Role in index | |---|---|---|---| | Adolescent fertility rate (births per 1,000 women 15-19) | `SP.ADO.TFRT` | Higher = higher risk | Outcome | | School enrollment, secondary, female (% gross) | `SE.SEC.ENRR.FE` | Lower = higher risk | Access | | Primary completion rate, female (%) | `SE.PRM.CMPT.FE.ZS` | Lower = higher risk | Completion | | Literacy rate, youth female 15-24 (%) | `SE.ADT.1524.LT.FE.ZS` | Lower = higher risk | Attainment | Source: World Bank Open Data API. Most recent non-missing value per country within 2013-2024. Raw extracts are cached in this repository so the analysis remains reproducible even as source values are revised. ## Data quality rules, documented rather than silent Every judgement call is written into the notebook r …