Published June 9, 2023 | Version 1

Predicting International and Internal Migration in Guatemala with Social, Physical and Climatic Variables (Data)

  • 1. University of California, Berkeley
  • 2. University of Denver

Description

Accompanying data for the Depsky and Pons (2023) PLoS ONE publication - Predicting International and Internal Migration in Guatemala with Social, Physical and Climatic Variables.

This repository contains tables of the raw 2018 Guatemalan national census values at the individual, household, and residence levels, as well as its migration-specific data table. Municipality-average climate values from ERA5-Land are provided as well, in addition to a shapefile of the municipal boundaries. All standardized outcome and predictor variables used for each of the five models are provided as separate tables as well.

Files

DepskyPons_2023_GTMCensusMigration_Data.zip

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