We develop district-level estimates of stunting for the 261 districts of Ghana using a Fey-Herriot small-area estimation (SAE) method. Data comes from the 2022 Ghana DHS survey, a nationally and regionally representative household survey, which is combined with auxiliary information from the 2021 Population and Housing Census and other publicly available datasets to produce modelled district-level estimates. While the general pattern of higher malnutrition in the north regions of the country prevails, the district-level estimates show high variation in stunting within regions. The level of geographical detail provided by the stunting maps can thus help improve policy interventions to tackle stunting in Ghana.
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| Reproducible Research Repository (World Bank) | https://reproducibility.worldbank.org |
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| Author | Affiliation | |
|---|---|---|
| Laura Rodriguez Takeuchi | World Bank | lrodrigueztak@worldbank.org |
| Kwame Adjei-Mantei | ISSER- University of Ghana | kwamemantey@gmail.com |
2026-08-05
| Location | Code |
|---|---|
| Ghana | GHA |
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| Name | URI |
|---|---|
| MIT License | https://opensource.org/license/mit |
| World Bank IGO Rider | https://github.com/worldbank/metadata-editor/blob/main/WB-IGO-RIDER.md |
| Name | Affiliation | |
|---|---|---|
| Laura Rodriguez Takeuchi | World Bank | lrodrigueztak@worldbank.org |
| Reproducibility WBG | World Bank | reproducibility@worldbank.org |
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Reproducibility WBG | DECDI | World Bank - Development Impact Department | Verification and preparation of metadata |
2026-08-05
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