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PRWP

Reproducibility package for Are The Poor More Exposed To Climate Hazards In Latin America?

2025
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Reference ID
RR_LAC_2025_402
Author(s)
Samuel Freije-Rodríguez, Ben J. Brunckhorst, Miki Khanh Doan, Minh Cong Nguyen, Alejandro de la Fuente, Catalina Garcia Garcia
Collections
World Bank Policy Research Working Papers
Metadata
JSON
Created on
Aug 15, 2025
Last modified
Aug 26, 2025
  • Project Description
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  • Overview
  • Reproducibility Package
  • Description
  • Scope and coverage
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  • Contacts
  • Information on metadata
  • Overview

    Abstract

    This paper aims to answer two main questions. First, what is the number of people exposed to climate hazards in LAC, and whether the exposure rate is higher for the poor than the non-poor. Second, whether there are hotspots, namely areas in the region where the incidence of climate hazard exposure and poverty rate are so high that they merit special policy attention. To answer these questions, we use an overlay of poverty maps and georeferenced information about climate hazards in the region as per methods by Doan, et al. (2023) but using five -rather than four- climate hazards (droughts, hurricanes, heatwaves, floods and landslides) and poverty maps at the administrative level 2 (ADM2, referring to county, district or municipality) rather than only provincial or departmental level (ADM1). Our estimates indicate that 36.9 percent of the population is exposed to at least one of the five climate hazards under consideration. If looking at the population in poverty only, the percentage is higher, 44.6 percent, whereas the exposure rate for the non-poor is 34.0 percent. Some areas in the territory of the continent experience high exposure to climate hazards and high poverty rates. These hotspots include about 10 percent of the population of the region. These areas are located in the Brazilian north-east, the upper-Amazon region of Colombia, Ecuador, Peru and Brazil, the Chaco region of Argentina, Brazil and Paraguay, the islands of the Caribbean, the western coast of the Gulf of California and the Yucatan Peninsula.

    Reproducibility Package

    Scripts
    Readme Get Reproducibility Package
    Link: https://reproducibility.worldbank.org/index.php/catalog/318/download/968/README.pdf
    Reproducibility package for Are The Poor More Exposed To Climate Hazards In Latin America?
    File name
    RR_LAC_2025_402
    Zip package
    RR_LAC_2025_402.zip
    Title
    Reproducibility package for Are The Poor More Exposed To Climate Hazards In Latin America?
    Date
    2025-08
    Dependencies
    R dependencies are listed in the file renv.lock. Stata dependencies are listed in the ado folder.
    Instructions
    See README in reproducibility package.
    Notes
    Computational reproducibility verified by Development Impact (DECDI) Analytics team, World Bank.
    Source code repository
    Repository name URI
    Reproducible Research Repository (World Bank) https://reproducibility.worldbank.org
    Software
    Stata
    Name
    Stata
    Version
    18 MP
    R
    Name
    R
    Version
    4.4.0

    Reproducibility

    Technology environment

    Paper exhibits were reproduced on a computer with the following specifications:
    • OS: Windows 11 Enterprise
    • Processor: INTEL(R) XEON(R) PLATINUM 8562Y+ 2.80 GHz (4 processors)
    • Memory available: 32.0 GB
    • Software version: Stata 18.0 MP

    Technology requirements

    ~ 25 minutes run time

    Reproduction instructions

    The package uses the Stata package datalibweb, which is accessible only to World Bank staff. The following instructions apply to World Bank staff.

    1. Secure Access to Data: Access the datasets not included in the package. The package relies on the Stata command datalibweb to get access to some datasets, which is only accessible to World Bank staff. See subsection Datasets and the README for more details.
    2. Download and Place Data: Once the data is downloaded, users should place it in the appropriate folder.
    3. Run the Package: After placing the data in the folder:
      • Run the R code to prepare the intermediate files
      • Open the do-file "master"
      • Update the globals in line 5 to your folder's location and run the do-file

    Since all the data is not included, the package includes the results produced by replicators in the Results folder. These files can be used to review the results presented in the paper.

    Data

    Datasets
    LAC subnational exposure estimates
    Name
    LAC subnational exposure estimates
    Note
    Source: : World Bank (2025). Compiled by the authors using spatial analysis. Instructions for accessing the raw hazard data files and the code to calculate subnational exposure estimates are available in the Reproducibility Package for Climate Risk Scorecard Vision Indicator 2021. For more details, please refer to that package: https://doi.org/10.60572/9j17-9n52. File location: : 02.input/lac_5haz_exp100_any.dta, 02.input/lac_5haz_exp100_mun.dta
    Access policy
    Included in the package.
    License
    Creative Commons Attribution 4.0 International License (CC BY 4.0)
    LAC boundaries
    Name
    LAC boundaries
    Note
    Source: Data produced by the project team using an R script (01.code/R/lac_combined_shapefile.R) that combines multiple administrative boundary datasets, detailed in the README. Input shapefiles (listed in 02.input/LAC boundaries.xlsx) are not included in the package but are available from their respective source. Poverty map shapefiles for seven countries (Brazil, Chile, Colombia, Honduras, Mexico, Panama, Peru) is made available on the World Bank Development Data Hub at the links below (except Honduras). The combined LAC shapefile is in 03.intermediate/shapefiles/. CHL: https://datacatalog.worldbank.org/int/search/dataset/0066885/chile_communal_estimates_of_income_and_multidimensional_poverty_2022; COL: https://datacatalog.worldbank.org/int/search/dataset/0066886/monetary_poverty_mapping_in_colombia; MEX: https://datacatalog.worldbank.org/int/search/dataset/0066887/measuring_poverty_in_mexican_municipalities_2020; BRA: https://datacatalog.worldbank.org/int/search/dataset/0066884/vulnerability_levels_of_brazilian_municipalities; PAN: https://datacatalog.worldbank.org/int/search/dataset/0066888/poverty_and_inequality_in_panama_district_and_township_maps_2015; PER: https://datacatalog.worldbank.org/int/search/dataset/0066889/peru_poverty_map__district_2018; ECU: https://datacatalog.worldbank.org/int/search/dataset/0066890/poverty_map_ecuador_2022.
    Access policy
    Included in the package.
    License
    Creative Commons Attribution 4.0 International License (CC BY 4.0)
    World Bank Country and Income Groups
    Name
    World Bank Country and Income Groups
    Note
    Source: : World Bank (2024). File location: 02.input/ctrn_names.dta
    Access policy
    Included in the package.
    Data URL
    https://data.worldbank.org/country
    Global Monitoring Database (GMD)
    Name
    Global Monitoring Database (GMD)
    Note
    Source: World Bank (2025). Data were obtained from the World Bank Datalibweb platform (datalibweb2.worldbank.org/home) using the Stata package datalibweb. Access to survey data in the Global Monitoring Database (GMD) is restricted to World Bank staff using Bank-managed computers and is not available to external users. While most GMD surveys are available internally, some require users to request access through the Datalibweb platform. File location: 02.input folder, in country subfolders for Brazil, Chile, Colombia, Ecuador, Honduras, Mexico, Panama, and Peru.
    Access policy
    Restricted and not included in the package.
    LAC subnational survey estimates
    Name
    LAC subnational survey estimates
    Note
    Source: World Bank. Compiled by the authors. The file was created manually using $6.85 (2017 PPP) poverty rates from the Subnational Poverty and Inequality Database (SPID) (https://datacatalog.worldbank.org/int/search/dataset/0064796/subnational_poverty_and_inequality_database_spid) for ARG, BOL, CRI, GTM, HTI, NIC, PRY, SLV, and URY; GMD data via datalibweb for DOM; and national poverty rates from PIP (AM24 version) for BLZ, GRD, GUY, JAM, LCA, SUR, TTO, and VEN. File location: 02.input/LAC subnational survey estimates 685.xlsx
    Access policy
    Restricted and not included in the package. Please contact the authors to request access to the dataset.
    Poverty map database
    Name
    Poverty map database
    Note
    Source: Data were extracted from papers and/or files obtained from National Statistical Offices (NSOs), as described in the README, through country Poverty Economists. File location: 02.input in country subfolders: BRA/BRA_mun_SPrate1.dta, CHL/LVL3_Income2022_cod_comuna.csv, COL/COL_pop2020.xlsx, COL/LVL3_Municipalities_ADM2_PCODE.csv, ECU/LVL1_Provinces_2022_DPA_DESPRO.csv, PAN/LVL3_Corregimientos2015_PROV_ID-DIST_ID.csv, MEX/LVL1_Municipalities_CVEGEO_short.dta, MEX/LVL2_Municipalities_CVEGEO_short.dta, PER/LVL1_District_2018_UBIGEO.dta, PER/per2018_dist.dta, HND/LVL1_Municipalities_Poverty_MUNICIPIO.csv, HND/HND2019_pop.dta.
    Access policy
    All datasets except for Honduras are included in the package; access to the Honduras data can be requested from the authors.
    Data statement

    Some data is restricted and has not been included in the reproducibility package. For more details, please refer to the README file.

    Description

    Output
    Are The Poor More Exposed To Climate Hazards In Latin America?
    Type
    Working Paper
    Title
    Are The Poor More Exposed To Climate Hazards In Latin America?
    Description
    Policy Research Working Papers (PRWP)
    Authors
    Author Affiliation Email
    Samuel Freije-Rodríguez World Bank sfreijerodriguez@worldbank.org
    Ben J. Brunckhorst World Bank bbrunckhorst@worldbank.org
    Miki Khanh Doan World Bank mkdoan@worldbank.org
    Minh Cong Nguyen World Bank mnguyen3@worldbank.org
    Alejandro de la Fuente World Bank adelafuente@worldbank.org
    Catalina Garcia Garcia World Bank cgarciagarcia@worldbank.org
    Date of production

    2025-08-08

    Scope and coverage

    Geographic locations
    Location Code
    Latin America LAC
    Topics
    ID Topic Parent topic ID Vocabulary Vocabulary URI
    I32 Measurement and Analysis of Poverty I3 Journal of Economic Literature (JEL)
    Q54 Climate • Natural Disasters and Their Management • Global Warming Q5 Journal of Economic Literature (JEL)
    Q56 Environment and Development • Environment and Trade • Sustainability • Environmental Accounts and Accounting • Environmental Equity • Population Growth Q5 Journal of Economic Literature (JEL)
    O54 Latin America • Caribbean O5 Journal of Economic Literature (JEL)

    Disclaimer

    Disclaimer

    The materials in the reproducibility packages are distributed as they were prepared by the staff of the International Bank for Reconstruction and Development/The World Bank. The findings, interpretations, and conclusions expressed in this event do not necessarily reflect the views of the World Bank, the Executive Directors of the World Bank, or the governments they represent. The World Bank does not guarantee the accuracy of the materials included in the reproducibility package.

    Access and rights

    License
    Name URI
    Modified BSD3 https://opensource.org/license/bsd-3-clause/

    Contacts

    Contacts
    Name Affiliation Email
    Samuel Freije-Rodríguez World Bank sfreijerodriguez@worldbank.org
    Reproducibility WBG World Bank reproducibility@worldbank.org

    Information on metadata

    Producers
    Name Abbreviation Affiliation Role
    Reproducibility WBG DECDI World Bank - Development Impact Department Verification and preparation of metadata
    Date of Production

    2025-08-08

    Document version

    1

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