Evidence map›Paper›PMID 41565677›Full record

ArticleScientific data2026

Harmonized food consumption dataset by food category and acquisition source for Sub-Saharan African countries.

Amaka P Nnaji, Didier Yelognisse Alia, Ahana Raina, C Leigh Anderson

Abstract readDataset
In one paragraph

Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Amaka P NnajiEvans School Policy Analysis Research (EPAR) group, Daniel J. Evans School of Public Policy and Governance, University of Washington, Seattle, WA, USA. annaji@uw.edu.ORCID http://orcid.org/0000-0002-4156-8925
Didier Yelognisse AliaEvans School Policy Analysis Research (EPAR) group, Daniel J. Evans School of Public Policy and Governance, University of Washington, Seattle, WA, USA.
Ahana RainaEvans School Policy Analysis Research (EPAR) group, Daniel J. Evans School of Public Policy and Governance, University of Washington, Seattle, WA, USA.
C Leigh AndersonEvans School Policy Analysis Research (EPAR) group, Daniel J. Evans School of Public Policy and Governance, University of Washington, Seattle, WA, USA.

Funding

Gates Foundation INV-043044
6 · The paper itself

Abstract

Household consumption is a key measure of well-being in low- and middle-income countries (LMICs) where agriculture remains the primary livelihood, and food represents a substantial share of household total consumption expenditures. This paper introduces a new harmonized dataset of food consumption value by food categories and acquisition sources for 16 sub-Saharan African countries from 2008 to 2021. The dataset is constructed from consumption modules of large-scale, nationally representative household surveys collected by the World Bank and each country's National Statistical Office. It adds value to these surveys by standardizing indicators, including monetizing non-market consumption, generating food item-level estimates, and making the processing code and record-level microdata publicly available for replication and use by researchers. The dataset facilitates valid cross-country comparisons of food consumption over time and can be merged with other satellite and climate data datasets for additional analysis of the drivers and impacts of food consumption in LMICs. Additionally, an indicator dashboard and visualizations have been created to make the estimates accessible to policymakers and the public.

Indexed as

FoodFood SupplyAfrica South of the SaharaDeveloping CountriesFamily CharacteristicsHumans

Identifiers

PMID41565677
PMCPMC12902005

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.