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electricsheepafrica/africa-central-african-republic-central-african-republic-global-acute-malnutrition-and-sev-ffb0b

Central African Republic: Global Acute Malnutrition and Severe Acute Malnutrion data | Africa (Central African Republic official open data) 914 rows - 1 Africa country - 2019 - Repackaged by Electric Sheep Africa TL;DR This dataset packages one official XLSX resource from Central African Republic as ML-ready Parquet. The source file is the provenance boundary; all usable indicators or tabular columns from the resource stay together in this repo.… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-central-african-republic-central-african-republic-global-acute-malnutrition-and-sev-ffb0b.

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Dataset Card

Central African Republic: Global Acute Malnutrition and Severe Acute Malnutrion data | Africa (Central African Republic official open data)

914 rows - 1 Africa country - 2019 - Repackaged by Electric Sheep Africa

rows countries years indicators license

TL;DR

This dataset packages one official XLSX resource from Central African Republic as ML-ready Parquet. The source file is the provenance boundary; all usable indicators or tabular columns from the resource stay together in this repo.

About the source

Geographic coverage

1 Africa country:

CountryRowsFirst yearLast yearName
CAF91420192019Central African Republic

Indicators or Resource Contents

  • —This source file is packaged as a normalized tabular resource.

Schema

ColumnTypeDescriptionExample
source_record_idstringStable row identifier for tabular resources.ad7efeab-75f1-4039-a643-308cf86aefc5:severity-analysis-ok-2:0
country_iso3categoryISO3 country code.CAF
country_namecategoryCountry name.Central African Republic
source_sheetstringWorkbook sheet name, when the source is a spreadsheet.Severity Analysis OK (2)
yearInt64Observation year.2019
region_sanitairestringSource column.RS1
district_sanitairestringSource column.Bimbo
prefecture_hno_2020stringSource column.Ombella M'Poko
p_code_prefecture_hno_2020_2stringSource column.CF11
pcode1teststringSource column.CF11
column1stringSource column.OK
sous_prefecture_hno_2020stringSource column.Bimbo
p_code_sous_prefecture_hno_2020stringSource column.CF111
pcode2teststringSource column.CF111
ecartstringSource column.OK
mag_under_6_59monthsfloat64Source column.7.1
mam_under_6_59monthsfloat64Source column.4.8
mas_under_6_59monthsfloat64Source column.2.2
mcg_6_59_moisfloat64Source column.38.3
mag_fefafloat64Source column.2.7
source_period_start_yearInt64First year inferred from source resource metadata.2019
source_period_end_yearInt64Last year inferred from source resource metadata.2019
source_period_labelcategoryHuman-readable period inferred from source resource metadata.2019
source_providercategoryPublishing organization.OCHA Central African Republic
source_datasetcategorySource package title.Central African Republic: Global Acute Malnutrition and Severe Acute Mal
source_resourcecategorySource resource title.CAR_Malnutrition
source_package_idcategoryCKAN package UUID.ebe59aa8-67bd-41fc-9190-0c73b46e1edb
source_resource_idcategoryCKAN resource UUID.ad7efeab-75f1-4039-a643-308cf86aefc5
source_urlcategoryOriginal source resource URL.https://data.humdata.org/dataset/ebe59aa8-67bd-41fc-9190-0c73b46e1edb/re
license_idcategorySource license identifier.cc-by
retrieved_atcategoryUTC retrieval timestamp.2026-08-14T23:28:30Z
admin1namestringSource column.``
admin1p_codestringSource column.``
admin2namestringSource column.``
admin2podestringSource column.``
prefecturestringSource column.``
pcode1stringSource column.``
sousprefecturestringSource column.``
pcode2stringSource column.``
sous_prefecturestringSource column.``
groupe_affectestringSource column.``
sitestringSource column.``
est_total_population_2019_hno_2020float64Source column.``
population_5_yearsfloat64Source column.``
population_6_59mfloat64Source column.``
femmes_enceintesfloat64Source column.``
femmes_allaitantesfloat64Source column.``
taux_prevalence_vih_mics_2010float64Source column.``
allaitement_exclusiffloat64Source column.``
vit_afloat64Source column.``
besoin_mamfloat64Source column.``
besoin_masfloat64Source column.``
besoin_en_untfloat64Source column.``
besoin_en_untafloat64Source column.``
besoin_fefafloat64Source column.``
besoin_accompagnant_masfloat64Source column.``
besoin_en_supplementation_en_vitaminfloat64Source column.``
besoin_en_deparasitagefloat64Source column.``
bsfp_6_59_mois_attenduesfloat64Source column.``
fefa_preventionfloat64Source column.``
pers_vih_malnutrisfloat64Source column.``
pin_traitementfloat64Source column.``
pin_preventionfloat64Source column.``
estimation_total_des_besoins_attendusfloat64Source column.``
besoins_tot_femmesfloat64Source column.``
besoins_tot_hommesfloat64Source column.``
besoins_fillesfloat64Source column.``
besoins_garconsfloat64Source column.``
besoins_enfants_18_ansfloat64Source column.``
besoins_adultes_18_59_ansfloat64Source column.``
besoins_pers_agees_59_ansfloat64Source column.``
besoins_pers_handicapeesfloat64Source column.``
pcode_prefstringSource column.``
pcode_sous_prefstringSource column.``
pop_2020float64Source column.``
pop_hnofloat64Source column.``
pop_hno_sitefloat64Source column.``
pdi_sitefloat64Source column.``
pdi_hors_sitefloat64Source column.``
retournesfloat64Source column.``
population_hotefloat64Source column.``
autresfloat64Source column.``
h_2020float64Source column.``
f_2020float64Source column.``
h_0_18float64Source column.``
f_0_18float64Source column.``
h_19_59float64Source column.``
f_19_59float64Source column.``
h_60float64Source column.``
f_60float64Source column.``
groupe_affectesstringSource column.``
accompagnant_masfloat64Source column.``
besoin_total_estimefloat64Source column.``
besoin_ffloat64Source column.``
besoin_hfloat64Source column.``
besoin_fillefloat64Source column.``
besoin_garconfloat64Source column.``
besoin_18ansfloat64Source column.``
besoin_19_59ansfloat64Source column.``
besoin_60float64Source column.``
besoin_handicapfloat64Source column.``
hotesfloat64Source column.``
column_20stringSource column.``
column_21stringSource column.``
column_22stringSource column.``
column_23stringSource column.``
column_24stringSource column.``
returneesstringSource column.``
column_26float64Source column.``
objectidfloat64Source column.``
shapestringSource column.``
admin0name_frstringSource column.``
admin0pcodestringSource column.``
admin1name_frstringSource column.``
admin1pcodestringSource column.``
admin1refnamestringSource column.``
admin1altname1_frstringSource column.``
admin1altname2_frstringSource column.``
datestringObservation date.``
validonstringSource column.``
validtostringSource column.``
shape_lengthfloat64Source column.``
shape_areafloat64Source column.``
pcodestringSource column.``
d_1float64Source column.``
polygonstringSource column.``
central_african_republicstringSource column.``
cfstringSource column.``
lobayestringSource column.``
cf12stringSource column.``
mbaikistringSource column.``
cf121stringSource column.``
mbaiki_2stringSource column.``
nullstringSource column.``
null_2stringSource column.``
2014stringSource column.``
2015stringSource column.``
null_3stringSource column.``
d_4_959159float64Source column.``
d_0_708028float64Source column.``
admin2name_frstringSource column.``
admin2pcodestringSource column.``
adm1_pcodestringSource column.``
adm2_pdocestringSource column.``

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-central-african-republic-central-african-republic-global-acute-malnutrition-and-sev-ffb0b")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

python
sample_country = df[df["country_iso3"] == "CAF"]

Work with indicators

python
if "indicator_id" in df.columns:
    print(df["indicator_id"].value_counts().head())
    sample = df.sort_values([c for c in ["indicator_id", "year"] if c in df.columns])

Citation

bibtex
@misc{electric_sheep_africa_africa_central_african_republic_central_african_republic_global_acute_malnutriti_2019,
  title        = {Central African Republic: Global Acute Malnutrition and Severe Acute Malnutrion data | Africa (Central African Republic official open data)},
  author       = {OCHA Central African Republic},
  year         = {2019},
  url          = {https://data.humdata.org/dataset/nutrition-in-central-african-republic},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-central-african-republic-central-african-republic-global-acute-malnutrition-and-sev-ffb0b}}
}

License

Released under CC BY 4.0.

Original data (c) OCHA Central African Republic. When using this dataset, please cite both the original source above and the Electric Sheep Africa repackaging.

About Electric Sheep

Electric Sheep Africa is part of the Electric Sheep mission: a unified, ML-ready data layer for Africa on Hugging Face. We pull data from authoritative open sources, normalize the schemas, package as Parquet, and publish with consistent dataset cards so researchers and developers can use load_dataset() to start working in seconds.

Browse the full collection: huggingface.co/electricsheepafrica

Provenance: ingested 2026-08-15 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/ebe59aa8-67bd-41fc-9190-0c73b46e1edb/resource/ad7efeab-75f1-4039-a643-308cf86aefc5/download/car_nutrition.xlsx