All variables were first synthesised using descriptive statistics. Graphs like histograms, cumulative histograms and pie charts were used to systematically represent data in a spatial view. Correlation test using the Pearson coefficient were used to show the relation between two-by-two quantitative variables, (for …show more content…
However, 4.7% of households said they did not experience food scarcity. Strategies to survive food shortages were borrowing money to buy food (26.2%), eating boiled cassava roots without sauce (7.8%), food rationing (32.6%), scavenge on nearby farms (7.8%), harvesting wild foods (14.2%), donations from parents and friends (1.4%) and scavenge around the community (4.3%). Chi-Square Tests showed a significant association between months of food scarcity and survival strategies adopted (Pearson Chi-Square = 218.14 p < 0.001; Cramer's V = 0.566 p < 0.001). No significant difference was observed between the means of food expenditure and the strategies to survive food scarcity (F = 0.47 p = …show more content…
The most common harvesting months of fruits were April to June (28.1%), July to September (36.8%), October to December (14%), January to March (7.3%) while 13.7% reported that they harvested fruit all year round. Corroborating this with insights from field observation and key informant discussions, it appears that most fruits were abundant from May to