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electricsheepafrica/africa-central-african-republic-republique-centrafricaine-compilation-des-personnes-deplac-a8b10

République Centrafricaine : Compilation des Personnes Déplacées Internes, des Réfugiés et des Retournés | Africa (Central African Republic official open data) 2,913 rows - 1 Africa country - not-applicable - 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… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-central-african-republic-republique-centrafricaine-compilation-des-personnes-deplac-a8b10.

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Dataset Card

République Centrafricaine : Compilation des Personnes Déplacées Internes, des Réfugiés et des Retournés | Africa (Central African Republic official open data)

2,913 rows - 1 Africa country - not-applicable - 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
CAF2,913n/an/aCentral 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.c8ef3acf-e928-43a1-8502-5cef5ac1b944:new-idp:0
country_iso3categoryISO3 country code.CAF
country_namecategoryCountry name.Central African Republic
source_sheetstringWorkbook sheet name, when the source is a spreadsheet.New IDP
prefecturestringSource column.Nana Mambéré
sous_prefecturestringSource column.BOUAR
communestringSource column.BOUAR
zones_d_acceuilstringSource column.BOUAR
periodestringSource column.Du 21 au 27/05/2019
lieu_provenancestringSource column.BOHONG
totalfloat64Source column.2420.0
causes_evenementsstringSource column.Il s'agit de l'irruption des éléments du 3R dans dite localité et cela a
source_infostringSource column.Les leaders communautaires de la localité
type_deplacementstringSource column.Déplacement forcé
source_period_start_yearInt64First year inferred from source resource metadata.``
source_period_end_yearInt64Last year inferred from source resource metadata.``
source_period_labelstringHuman-readable period inferred from source resource metadata.``
source_providercategoryPublishing organization.OCHA Central African Republic
source_datasetcategorySource package title.République Centrafricaine : Compilation des Personnes Déplacées Internes
source_resourcecategorySource resource title.OCHA_CAR_Compilation_Donnees_statistiques_PDIs
source_package_idcategoryCKAN package UUID.c0ab1fef-323a-4f50-9fbb-a70462b3e644
source_resource_idcategoryCKAN resource UUID.c8ef3acf-e928-43a1-8502-5cef5ac1b944
source_urlcategoryOriginal source resource URL.https://data.humdata.org/dataset/c0ab1fef-323a-4f50-9fbb-a70462b3e644/re
license_idcategorySource license identifier.cc-by
retrieved_atcategoryUTC retrieval timestamp.2026-08-14T23:28:30Z
adm1_pcodestringSource column.``
adm2_pdocestringSource column.``
adm3_pcodestringSource column.``
d_5float64Source column.``
banguistringSource column.``
cf71stringSource column.``
arrondissement_3stringSource column.``
cf7113stringSource column.``
column_6float64Source column.``
d_30000float64Source column.``
d_30000_2float64Source column.``
aout_2019stringSource column.``
basse_kottostringSource column.``
d_31378float64Source column.``
d_21711float64Source column.``
d_23float64Source column.``
haute_kottostringSource column.``
cf52stringSource column.``
yalingastringSource column.``
cf523stringSource column.``
d_200float64Source column.``
d_6669float64Source column.``
d_6869float64Source column.``
marsstringSource column.``
bamingui_bangoranstringSource column.``
d_6437float64Source column.``
admin1namestringSource column.``
admin1pcodestringSource column.``
admin2namestringSource column.``
admin2_pcodestringSource column.``
localitestringSource column.``
sitestringSource column.``
chiffre_pdifloat64Source column.``
date_updatestringSource column.``
updatestringSource column.``
commentairesstringSource column.``
sources_de_donneesstringSource column.``
moisstringSource column.``
admin2pcodestringSource column.``
sitesfloat64Source column.``
familles_accueilfloat64Source column.``
d_1float64Source column.``
polygonstringSource column.``
central_african_republicstringSource column.``
cfstringSource column.``
lobayestringSource column.``
admin2name_frstringSource column.``
pcodestringSource column.``
adm1_pcodstringSource column.``
adm2_pcodstringSource column.``
d_2300float64Source column.``
d_2300_2float64Source column.``
rafaistringSource column.``
obostringSource column.``
d_30_04_2019float64Source column.``
zemiostringSource column.``
ouhamstringSource column.``
kabostringSource column.``
sidostringSource column.``
moyenne_sidostringSource column.``
cite_de_la_paixstringSource column.``
d_1660float64Source column.``
mise_a_jour_faite_en_avril_alors_que_la_derniere_dataitstringSource column.``
cmp_locale_kaga_banroro_asastringSource column.``

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-central-african-republic-republique-centrafricaine-compilation-des-personnes-deplac-a8b10")
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_republique_centrafricaine_compilation_des_person_2026,
  title        = {République Centrafricaine : Compilation des Personnes Déplacées Internes, des Réfugiés et des Retournés | Africa (Central African Republic official open data)},
  author       = {OCHA Central African Republic},
  year         = {2026},
  url          = {https://data.humdata.org/dataset/statistiques-detaillees-des-sites-pdis-en-republique-centrafricaine},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-central-african-republic-republique-centrafricaine-compilation-des-personnes-deplac-a8b10}}
}

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/c0ab1fef-323a-4f50-9fbb-a70462b3e644/resource/c8ef3acf-e928-43a1-8502-5cef5ac1b944/download/carcompilationdonneesstatistiquespdis.xlsx