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Constructed dataset for Drought Effects on Household Water Access and Child Undernutrition: Evidence from Kenya

Climate change is putting immense strain on food and water resources, which has dire health consequences, particularly for young children who may experience lasting social and health effects into adult life. Within the context of a severe long-term drought in the Greater Horn of Africa between late 2020 and early 2023, we examined the effects of the drought in Kenya on child nutritional status and investigated if these associations are driven by household water access. We link child- and household-level data from the 2022 Kenyan Demographic and Health Survey (DHS) (N=16,132) with district-level measures of drought exposure defined by the international disaster database (EM-DAT) alongside measures of precipitation and temperature anomalies during the year preceding household surveys. This constructed dataset includes the linked child- and household-level data, along with drought exposure and precipitation and temperature anomalies. In addition, the historical temperature and precipitation temperature data is included in a separate dataset. The analytical code to analyze the data is also included.

Citation

Broyles, Lauren; Rosinger, Asher; Thiede, Brian (2025). Constructed dataset for Drought Effects on Household Water Access and Child Undernutrition: Evidence from Kenya [Data set]. Scholarsphere. https://doi.org/10.26207/c6vx-0q51

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Work Title Constructed dataset for Drought Effects on Household Water Access and Child Undernutrition: Evidence from Kenya
Access
Open Access
Creators
  1. Lauren Broyles
  2. Asher Yoel Rosinger
  3. Brian Clemens Thiede
Keyword
  1. Demographic Health Surveys, household water access, undernutrition
License MIT License
Work Type Dataset
Acknowledgments
  1. This work was supported by Penn State’s Population Research Institute (NICHD P2CHD041025) and T-32 grant (T32 HD007514-23). The funders had no role in the research or interpretation of results. Thiede’s work was also supported by the United States Department of Agriculture National Institute of Food and Agriculture and Hatch Appropriations under Project #PEN04953 and Accession #7006538 (“Climate Change and Population Dynamics”).
Publisher
  1. Lauren Broyles
  2. Brian Thiede
  3. Asher Rosinger
Publication Date 2025
Subject
  1. Child health, water access, drought, temperature and precipitation anomalies
Language
  1. English
DOI doi:10.26207/c6vx-0q51
Geographic Area
  1. Kenya
Deposited June 18, 2025

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Work History

Version 1
published

  • Created

    June 18, 2025 15:18 by lmt56

  • Updated

    June 18, 2025 15:18 by [unknown user]

  • Updated Keyword, Subject, Language, and 4 more Show Changes

    June 18, 2025 15:21 by lmt56

    Keyword
    • Demographic Health Surveys, household water access, undernutrition
    Subject
    • Child health, water access, drought, temperature and precipitation anomalies
    Language
    • English
    Publisher
    • Lauren Broyles, Brian Thiede, Asher Rosinger
    Geographic Area
    • Kenya
    Description
    • Climate change is putting immense strain on food and water resources, which has dire health consequences, particularly for young children who may experience lasting social and health effects into adult life. Within the context of a severe long-term drought in the Greater Horn of Africa between late 2020 and early 2023, we examined the effects of the drought in Kenya on child nutritional status and investigated if these associations are driven by household water access. We link child- and household-level data from the 2022 Kenyan Demographic and Health Survey (DHS) (N=16,132) with district-level measures of drought exposure defined by the international disaster database (EM-DAT) alongside measures of precipitation and temperature anomalies during the year preceding household surveys. This constructed dataset includes the linked child- and household-level data, along with drought exposure and precipitation and temperature anomalies.
    Publication Date
    • 2025
  • Updated Acknowledgments Show Changes

    June 18, 2025 15:23 by lmt56

    Acknowledgments
    • This work was supported by Penn State’s Population Research Institute (NICHD P2CHD041025) and T-32 grant (T32 HD007514-23). The funders had no role in the research or interpretation of results. Thiede’s work was also supported by the United States Department of Agriculture National Institute of Food and Agriculture and Hatch Appropriations under Project #PEN04953 and Accession #7006538 (“Climate Change and Population Dynamics”).
  • Added Creator Lauren Broyles

    June 18, 2025 15:23 by lmt56

  • Added Creator Asher Yoel Rosinger

    June 18, 2025 15:23 by lmt56

  • Added Creator Brian Clemens Thiede

    June 18, 2025 15:23 by lmt56

  • Added 05KE_DHS_2022_DroughtAnalysis_20250613.do

    June 18, 2025 16:17 by lmt56

  • Added 04KE_DHS_2022_24MonthStatistics.do

    June 18, 2025 16:17 by lmt56

  • Added 03KE_DHS_2022_CalculatingClimateAnomalies.do

    June 18, 2025 16:17 by lmt56

  • Added 02KE_DHS_2022_DataCleaning_ChildrensRecode.DO

    June 18, 2025 16:17 by lmt56

  • Added 01KE_DHS_2022_DataCleaning.do

    June 18, 2025 16:17 by lmt56

  • Added KE_DHS_2022_PersonsRecode.dta

    June 18, 2025 16:17 by lmt56

  • Added README.docx

    June 18, 2025 16:17 by lmt56

  • Added KE_DHS_2022_child_dataset_climate2.dta

    June 18, 2025 16:17 by lmt56

  • Deleted 01KE_DHS_2022_DataCleaning.do

    June 18, 2025 16:27 by lmt56

  • Deleted 02KE_DHS_2022_DataCleaning_ChildrensRecode.DO

    June 18, 2025 16:27 by lmt56

  • Deleted 03KE_DHS_2022_CalculatingClimateAnomalies.do

    June 18, 2025 16:27 by lmt56

  • Deleted 04KE_DHS_2022_24MonthStatistics.do

    June 18, 2025 16:27 by lmt56

  • Deleted KE_DHS_2022_child_dataset_climate2.dta

    June 18, 2025 16:27 by lmt56

  • Deleted KE_DHS_2022_PersonsRecode.dta

    June 18, 2025 16:27 by lmt56

  • Deleted README.docx

    June 18, 2025 16:28 by lmt56

  • Added KE_DHS_2022_child_dataset_usethis.dta

    June 18, 2025 16:29 by lmt56

  • Added README.docx

    June 18, 2025 16:29 by lmt56

  • Added KE_DHS_2022_HistoricalClimate.dta

    June 18, 2025 16:29 by lmt56

  • Updated Description, License Show Changes

    June 18, 2025 16:32 by lmt56

    Description
    • Climate change is putting immense strain on food and water resources, which has dire health consequences, particularly for young children who may experience lasting social and health effects into adult life. Within the context of a severe long-term drought in the Greater Horn of Africa between late 2020 and early 2023, we examined the effects of the drought in Kenya on child nutritional status and investigated if these associations are driven by household water access. We link child- and household-level data from the 2022 Kenyan Demographic and Health Survey (DHS) (N=16,132) with district-level measures of drought exposure defined by the international disaster database (EM-DAT) alongside measures of precipitation and temperature anomalies during the year preceding household surveys. This constructed dataset includes the linked child- and household-level data, along with drought exposure and precipitation and temperature anomalies.
    • Climate change is putting immense strain on food and water resources, which has dire health consequences, particularly for young children who may experience lasting social and health effects into adult life. Within the context of a severe long-term drought in the Greater Horn of Africa between late 2020 and early 2023, we examined the effects of the drought in Kenya on child nutritional status and investigated if these associations are driven by household water access. We link child- and household-level data from the 2022 Kenyan Demographic and Health Survey (DHS) (N=16,132) with district-level measures of drought exposure defined by the international disaster database (EM-DAT) alongside measures of precipitation and temperature anomalies during the year preceding household surveys. This constructed dataset includes the linked child- and household-level data, along with drought exposure and precipitation and temperature anomalies. In addition, the historical temperature and precipitation temperature data is included in a separate dataset. The analytical code to analyze the data is also included.
    License
    • https://opensource.org/licenses/MIT
  • Published

    June 18, 2025 16:32 by lmt56

  • Updated

    June 18, 2025 22:06 by [unknown user]