ORCID

  • Parisi: https://orcid.org/0009-0009-7331-9913
  • Ambinakudige: https://orcid.org/0000-0003-0053-3803
  • Scott: https://orcid.org/0000-0002-4869-9151

MSU Affiliations

College of Arts and Sciences; Department of Geosciences; Department of Sociology; College of Integrative Studies; Data Science Academic Institute

Item Type

Research Data

Abstract

This database underpins the analysis of the Fear of Hunger (FOH) Hypothesis, based on a large-scale telephone survey conducted between April and August 2024 across eight countries—Burkina Faso, Chad, El Salvador, Guatemala, Honduras, Mali, Niger, and Nigeria. The dataset includes 12,000 nationally representative adult respondents (1,500 per country) aged 18 and above. The survey instrument, translated into multiple local languages, collected detailed demographic, socioeconomic, and attitudinal information related to food security and migration. Core variables encompass WillMove (migration intention), MovePlace (international vs. internal migration), Score1–Score5 (five FOH levels from minimal to extreme), Age, Gender, Marital Status, Education, ChildPresent, Household Size, Rural/Urban residence, Employment, and ContactMig. Contextual indicators include Community Attachment, Safety, and Climate Conditions indices (ranging from 0–100). Food security is represented through four binary indicators (FoodSecure, Mildly, Moderately, Severely). The Fear of Hunger Scale (FHS) integrates three validated sub-dimensions: perceived risks (α = 0.87), perceived consequences (α = 0.94), and preventive behaviors (α = 0.70) standardized on a five-point scale. Cross-analysis between migration intentions and FOH highlights behavioral responses to food-related stressors. FOH correlates moderately (r = 0.35) with food insecurity, confirming conceptual distinctness. Importantly, 40% of food-secure individuals exhibit significant FOH, underscoring its broader psychological and policy relevance across vulnerable populations.

Publication Date

10-22-2025

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Requires

The data are in Microsoft Excel .xlsx format and can be used in any statistical software or program.

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Digital Object Identifier (DOI)

https://doi.org/10.54718/NFUP6585