Datasets › Malnutrition data

Malnutrition data (malnutrition data from UN)

Introduced in Sparse Functional Boxplots for Multivariate Curves14 Mar 2021 archive 2025-07-28

The malnutrition data, from the United Nations Children's Fund data warehouse, include two variables, stunted growth and the prevalence of low birth weight, collected in 77 countries from 1985 to 2019. Stunted growth is defined as the proportion of newborns aging from 0 to 59 months with a low height-for-age measurement (below two standard deviations). The stunted growth data represent a point sparseness case with 4-23 recordings per nation. The low birth weight data are a partial sparseness case, with recordings during 2000-2015 only.

It can be used in the functional data analysis and the sparse functional data fitting.

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

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Tasks archive 2025-07-28

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License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

No modality tagged.

Languages archive 2025-07-28

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Variants archive 2025-07-28

  • Malnutrition data

1 variant name, as the archive lists them.

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