xolanincala7-ai/WATER-IS-LIFE-FOOD-IS-SURVIVAL-A-Study-of-Insecurities-in-SA-households-using-Afrobarometer-R9-Data

Capstone project analysing Afrobarometer Round 9 (2022) data to explore how water insecurity predicts food insecurity in South African households. Using advanced statistical modelling in R, the study highlights the socio‑demographic drivers of everyday insecurities and contributes to national development debates under the NDP 2030. # WATER-IS-LIFE-FOOD-IS-SURVIVAL-A-Study-of-Insecurities-in-SA-households-using-Afrobarometer-R9-Data Capstone project analysing Afrobarometer Round 9 (2022) data to explore how water insecurity predicts food insecurity in South African households. Using advanced statistical modelling in R, the study highlights the socio‑demographic drivers of everyday insecurities and contributes to national development debates under the NDP 2030. # Water is Life, Food is Survival *Capstone Project — MA‑E‑Science Portfolio (Please read this project .pdf file)* ## Summary This capstone project investigates the **relationship between water insecurity and food insecurity in South African households**, using **Afrobarometer Round 9 survey data (2022)**. The study asks how water insecurity, alongside socio‑demographic factors, influences the likelihood of food shortages — situating the analysis within South Africa’s **National Development Plan 2030** and broader developmental goals. ## Project Preview Screenshot: github.com ## Data Source - **Afrobarometer Round 9 (South Africa, 2022)** — nationally representative sample of 1,542 respondents. - Contextual references: **Statistics South Africa (GHS 2023)** and national policy frameworks (NDP 2030). ## Methods - Tool: **R programming language** for statistical computing and modelling. - Approach: Descriptive statistics, bivariate associations, and **multinomial logistic regression models**. - Variables: Food insecurity (dependent), water insecurity (main independent), plus controls (income insecurity, asset score, education, rural/urban residence). ## Results - **Water insecurity is a robust predictor of food insecurity**, even after controlling for socio‑demographic factors. - Key predictors: - **Income insecurity** → increases risk of food insecurity. - **Higher/post‑seconda …