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electricsheepafrica/africa-drc-democratic-republic-of-congo-detected-mobility-from-2026-b-709028da

Democratic Republic of Congo: Detected mobility from 2026 Bundibugyo Virus Disease Outbreak Health Zones | Africa (DRC official open data) 519 rows - 1 Africa country - 2026 - Repackaged by Electric Sheep Africa TL;DR This dataset packages one official CSV 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… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-drc-democratic-republic-of-congo-detected-mobility-from-2026-b-709028da.

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Dataset Card

Democratic Republic of Congo: Detected mobility from 2026 Bundibugyo Virus Disease Outbreak Health Zones | Africa (DRC official open data)

519 rows - 1 Africa country - 2026 - Repackaged by Electric Sheep Africa

rows countries years indicators license

TL;DR

This dataset packages one official CSV 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

Geographic coverage

1 Africa country:

CountryRowsFirst yearLast yearName
COD51920262026DRC

Indicators or Resource Contents

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

Schema

ColumnTypeDescriptionExample
source_record_idstringStable row identifier for tabular resources.d192cd20-be37-4ea4-aecc-765244cdf3cd:0
country_iso3categoryISO3 country code.COD
country_namecategoryCountry name.DRC
yearInt64Observation year.2026
rankfloat64Source column.1.0
flagstringSource column.``
hz_idstringSource column.xGWcGHazqtw
hz_id_cdstringSource column.CD5405ZS08
hz_name_shortstringSource column.Lita
hz_name_longstringSource column.it Lita Zone de Santé
province_idstringSource column.Q4cbnIAo10f
province_id_cdstringSource column.CD54
province_name_shortstringSource column.Ituri
province_name_longstringSource column.it Ituri Province
detection_pct_20260524float64Source column.21.55
source_period_start_yearInt64First year inferred from source resource metadata.2026
source_period_end_yearInt64Last year inferred from source resource metadata.2026
source_period_labelcategoryHuman-readable period inferred from source resource metadata.2026
source_providercategoryPublishing organization.Flowminder
source_datasetcategorySource package title.Democratic Republic of Congo: Detected mobility from 2026 Bundibugyo Vir
source_resourcecategorySource resource title.drc-bvd_cohort-detection_pct-2026_05_24-v1.0-external.csv
source_package_idcategoryCKAN package UUID.f3660479-fb8d-4a74-baa7-09d2d24c8e0d
source_resource_idcategoryCKAN resource UUID.d192cd20-be37-4ea4-aecc-765244cdf3cd
source_urlcategoryOriginal source resource URL.https://data.humdata.org/dataset/f3660479-fb8d-4a74-baa7-09d2d24c8e0d/re
license_idcategorySource license identifier.cc-by
retrieved_atcategoryUTC retrieval timestamp.2026-08-20T11:38:57Z

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-drc-democratic-republic-of-congo-detected-mobility-from-2026-b-709028da")
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_democratic_republic_of_congo_detected_mobility_from_2026_b_709028da_2026,
  title        = {Democratic Republic of Congo: Detected mobility from 2026 Bundibugyo Virus Disease Outbreak Health Zones | Africa (DRC official open data)},
  author       = {Flowminder},
  year         = {2026},
  url          = {https://data.humdata.org/dataset/democratic-republic-of-congo-detected-mobility-from-2026-bvd-outbreak-health-zones},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-drc-democratic-republic-of-congo-detected-mobility-from-2026-b-709028da}}
}

License

Released under CC BY 4.0.

Original data (c) Flowminder. 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/f3660479-fb8d-4a74-baa7-09d2d24c8e0d/resource/d192cd20-be37-4ea4-aecc-765244cdf3cd/download/drc-bvdcohort-detectionpct-20260524-v1.0-external.csv