CoolFace
Datasetpublic

electricsheepafrica/africa-drc-drc-displacement-countrywide-monitoring-baseline-assessmen-ead4b22f

DRC Displacement - Countrywide Monitoring - Baseline Assessment [IOM DTM] | Africa (DRC official open data) 213 rows - 1 Africa country - 2023 - Repackaged by Electric Sheep Africa TL;DR This dataset packages one official XLSX resource from DRC 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 Source: DRC Displacement -… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-drc-drc-displacement-countrywide-monitoring-baseline-assessmen-ead4b22f.

sourceHugging Facecc-by-4.0updated 1mo agoView on Hugging Face
0likes20downloads
Dataset Card

DRC Displacement - Countrywide Monitoring - Baseline Assessment [IOM DTM] | Africa (DRC official open data)

213 rows - 1 Africa country - 2023 - Repackaged by Electric Sheep Africa

rows countries years indicators license

TL;DR

This dataset packages one official XLSX resource from DRC 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

  • —Source: [DRC Displacement - Countrywide Monitoring - Baseline Assessment [IOM DTM]](https://data.humdata.org/dataset/drc-displacement-countrywide-monitoring-baseline-assessment-iom-dtm)
  • —Publisher: International Organization for Migration (IOM)
  • —Resource: Baseline Assessment - Countrywide Displacement Overview 2023 - Round 1
  • —Format: XLSX
  • —License: CC BY 4.0
  • —Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

CountryRowsFirst yearLast yearName
COD21320232023DRC

Indicators or Resource Contents

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

Schema

ColumnTypeDescriptionExample
source_record_idstringStable row identifier for tabular resources.fa72f791-d515-4be7-b355-dbb0cfa3572f:summary-province:0
country_iso3categoryISO3 country code.COD
country_namecategoryCountry name.DRC
source_sheetstringWorkbook sheet name, when the source is a spreadsheet.Summary - Province
yearInt64Observation year.2023
provincestringSource column.#adm1+name
admin_1_pcodestringSource column.#adm1+code
methodologystringSource column.``
zs_assessedfloat64Source column.``
total_idp_individualsfloat64Source column.``
total_returnee_individualsfloat64Source column.``
source_period_start_yearInt64First year inferred from source resource metadata.2023
source_period_end_yearInt64Last year inferred from source resource metadata.2023
source_period_labelcategoryHuman-readable period inferred from source resource metadata.2023
source_providercategoryPublishing organization.International Organization for Migration (IOM)
source_datasetcategorySource package title.DRC Displacement - Countrywide Monitoring - Baseline Assessment [IOM DTM
source_resourcecategorySource resource title.Baseline Assessment - Countrywide Displacement Overview 2023 - Round 1
source_package_idcategoryCKAN package UUID.e29a8f6f-94b5-4182-a028-f5b09c21668f
source_resource_idcategoryCKAN resource UUID.fa72f791-d515-4be7-b355-dbb0cfa3572f
source_urlcategoryOriginal source resource URL.https://data.humdata.org/dataset/e29a8f6f-94b5-4182-a028-f5b09c21668f/re
license_idcategorySource license identifier.cc-by
retrieved_atcategoryUTC retrieval timestamp.2026-08-20T11:38:57Z
admin_1_labelstringSource column.``
admin_1_codestringSource column.``
admin_2_labelstringSource column.``
admin_2_codestringSource column.``
assessment_statusstringSource column.``
total_pdi_fa36_sites_cccm_sites_spontfloat64Source column.``
pdis_en_famille_d_accueil_arrivees_derniers_36_mois_indifloat64Source column.``
pdis_en_famille_d_accueil_arrivees_derniers_36_mois_megefloat64Source column.``
pdis_en_site_couverts_par_le_mecanisme_cccm_meges_enregifloat64Source column.``
pdis_en_site_couverts_par_le_mecanisme_cccm_individus_enfloat64Source column.``
pdis_en_site_noncouverts_par_le_mecanisme_cccm_meges_estfloat64Source column.``
pdis_en_site_noncouverts_par_le_mecanisme_cccm_individusfloat64Source column.``
pdis_returnees_arrivees_derniers_36_mois_megesfloat64Source column.``
pdis_returnees_arrivees_derniers_36_mois_individusfloat64Source column.``
meges_pdis_dans_la_zs_deplacees_en_raison_du_conflit_m23float64Source column.``
individus_pdis_dans_la_zs_deplacees_en_raison_du_conflitfloat64Source column.``

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-drc-drc-displacement-countrywide-monitoring-baseline-assessmen-ead4b22f")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

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

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_drc_drc_displacement_countrywide_monitoring_baseline_assessmen_ead4b22f_2023,
  title        = {DRC Displacement - Countrywide Monitoring - Baseline Assessment [IOM DTM] | Africa (DRC official open data)},
  author       = {International Organization for Migration (IOM)},
  year         = {2023},
  url          = {https://data.humdata.org/dataset/drc-displacement-countrywide-monitoring-baseline-assessment-iom-dtm},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-drc-drc-displacement-countrywide-monitoring-baseline-assessmen-ead4b22f}}
}

License

Released under CC BY 4.0.

Original data (c) International Organization for Migration (IOM). 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 2026-08-20 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/e29a8f6f-94b5-4182-a028-f5b09c21668f/resource/fa72f791-d515-4be7-b355-dbb0cfa3572f/download/hdxdtmdrcdbpublic_nationaldisplacementover-copy.xlsx