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electricsheepafrica/africa-drc-safeguarding-health-in-conflict-coalition-shcc-data-1ab2fdcc

Safeguarding Health in Conflict Coalition (SHCC) Data | Africa (DRC official open data) 33 rows - 1 Africa country - 2019 - 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: Safeguarding Health in Conflict Coalition… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-drc-safeguarding-health-in-conflict-coalition-shcc-data-1ab2fdcc.

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

Safeguarding Health in Conflict Coalition (SHCC) Data | Africa (DRC official open data)

33 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 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
COD3320192019DRC

Indicators or Resource Contents

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

Schema

ColumnTypeDescriptionExample
source_record_idstringStable row identifier for tabular resources.5a553515-f528-469d-9db5-2c50985e6cfd:overview-data:0
country_iso3categoryISO3 country code.COD
country_namecategoryCountry name.DRC
source_sheetstringWorkbook sheet name, when the source is a spreadsheet.Overview Data
yearInt64Observation year.2019
countrystringSource column.#country +name
total_shcc_attacks_2019float64Source column.``
total_health_worker_killedfloat64Source column.``
total_health_worker_kidnappedfloat64Source column.``
total_health_worker_arrestedstringSource column.#affected +healthworker +arrested
total_health_worker_injuredfloat64Source column.``
total_health_worker_assaultedfloat64Source column.``
total_health_worker_threatened_intimidatedfloat64Source column.``
total_health_worker_sexual_violencestringSource column.#affected +healthworker +SGBV
total_number_of_attacks_on_facilities_which_reported_desstringSource column.#indicator +health_facility +destroyed +num
total_number_of_attacks_on_facilities_which_reported_damfloat64Source column.``
armed_entry_into_medical_facilitiesfloat64Source column.``
looting_theft_robbery_burglary_of_health_suppliesfloat64Source column.``
health_transportation_destroyedstringSource column.#indicator +health_transport +destroyed +num
health_transportation_damagedfloat64Source column.``
health_transportation_stolen_highjackedfloat64Source column.``
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.Insecurity Insight
source_datasetcategorySource package title.Safeguarding Health in Conflict Coalition (SHCC) Data
source_resourcecategorySource resource title.2019 SHCC Overview Data.xlsx
source_package_idcategoryCKAN package UUID.02995168-3644-4b78-92be-cdf67275b39d
source_resource_idcategoryCKAN resource UUID.5a553515-f528-469d-9db5-2c50985e6cfd
source_urlcategoryOriginal source resource URL.https://data.humdata.org/dataset/02995168-3644-4b78-92be-cdf67275b39d/re
license_idcategorySource license identifier.cc-by-sa
retrieved_atcategoryUTC retrieval timestamp.2026-08-20T11:38:57Z
citationstringSource column.``

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-drc-safeguarding-health-in-conflict-coalition-shcc-data-1ab2fdcc")
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_safeguarding_health_in_conflict_coalition_shcc_data_1ab2fdcc_2019,
  title        = {Safeguarding Health in Conflict Coalition (SHCC) Data | Africa (DRC official open data)},
  author       = {Insecurity Insight},
  year         = {2019},
  url          = {https://data.humdata.org/dataset/shcchealthcare-dataset},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-drc-safeguarding-health-in-conflict-coalition-shcc-data-1ab2fdcc}}
}

License

Released under CC BY-SA.

Original data (c) Insecurity Insight. 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/02995168-3644-4b78-92be-cdf67275b39d/resource/5a553515-f528-469d-9db5-2c50985e6cfd/download/2019-shcc-overview-data.xlsx