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SENYANA-bit/Rwanda-NEET-LFS2025-Analysis

Domaine:

socioeconomic
Créateur:
SEN
Hôte:
Analysis of youth Not in Employment, Education or Training (NEET) in Rwanda using Labour Force Survey 2025 data. Includes data cleaning, indicator construction, descriptive statistics, tables, and visualizations using R. # Youth NEET Analysis in Rwanda Using Labour Force Survey (LFS) 2025 # Determinants of Youth NEET (Not in Employment, Education or Training) in Rwanda ### Evidence from the Rwanda Labour Force Survey (LFS) 2025 **Author:** SENYANA Emmanuel **Affiliation:** Student, Faculty of Economics, College of Business and Economics (CBE), University of Rwanda **Data source:** National Institute of Statistics of Rwanda (NISR) ,Labour Force Survey 2025 **Population of interest:** Youth aged 16–30 years --- ## 1. Overview This repository presents a weighted analysis of youth NEET status in Rwanda using microdata from the **Rwanda Labour Force Survey (LFS) 2025**. NEET , young people who are Not in Employment, Education, or Training , is a core indicator of youth economic exclusion and is directly relevant to Rwanda's **Vision 2050** and **NST2** priorities on youth employment and human capital development. The analysis estimates: - The **overall national NEET prevalence** among youth aged 16–30 - How NEET varies by **residence (urban/rural)**, **sex**, **province**, and **district** - How NEET varies by **education level** - The **individual-level determinants** of NEET status using a survey-weighted logistic regression All estimates use the survey design weight (`survey_weight`) so that results are representative of the national youth population, not just the sample. --- ## 2. Repository structure ``` ├── README.md # This file ├── data/ │ └── Rwanda_LFS2025_NEET_clean.csv.xlsx # Cleaned analytic dataset (26,290 obs, 39 vars) ├── figures/ # All charts (referenced and interpreted below) └── tables/ # Underlying summary tables (CSV) for each chart ``` --- ## 3. Data and method notes - **Sample:** 26,290 individual records after cleaning, covering all 5 provinces and 30 districts of Rwanda. - **Weighting:** All prevalence estimates (NEET rates, national/provincial/residence breakdowns) …

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