annotations_creators:
- no-annotation
language_creators:
- found
language:
- en
license: cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- tabular-classification
task_ids: []
tags:
- africa
- humanitarian
- hdx
- electric-sheep-africa
- central-africa
- disease
- epidemics-outbreaks
- fatalities
- health
- hxl
- cod
pretty_name: 'Democratic Republic of the Congo: Coronavirus (Covid-19) Subnational'
dataset_info:
splits:
- name: train
num_examples: 7257
- name: test
num_examples: 1814
Democratic Republic of the Congo: Coronavirus (Covid-19) Subnational
Publisher: HERA - Humanitarian Emergency Response Africa · Source: HDX · License: cc-by · Updated: 2025-05-05
Abstract
Subnational data about Covid-19 in Democratic Republic of the Congo - Infections, Deaths, Recoveries. Gender data are not available. Please note that the data available is from 2021-09-20. VACCINATION DATA AVAILABLE (1st & 2nd doses)
Each row in this dataset represents first-level administrative unit observations. Data was last updated on HDX on 2025-05-05. Geographic scope: COD.
Curated into ML-ready Parquet format by Electric Sheep Africa.
Dataset Characteristics
| Domain | Public health |
| Unit of observation | First-level administrative unit observations |
| Rows (total) | 9,072 |
| Columns | 3 (0 numeric, 3 categorical, 0 datetime) |
| Train split | 7,257 rows |
| Test split | 1,814 rows |
| Geographic scope | COD |
| Publisher | HERA - Humanitarian Emergency Response Africa |
| HDX last updated | 2025-05-05 |
Variables
Geographic — id_date_iso_3_pays_id_pays_region_id_region_contamines_deces_gueris_contamines_femme_contamines_homme_contamines_genre_non_specifie_nouveaux_individus_vaccines_1_dose_total_individus_vaccines_1_dose_nouveaux_individus_vaccines_2_doses_total_individus_vaccines_2_doses_source (1;19/09/2020;COD;République Démocratique du Congo;17;Bas Uele;222;0;0;0;0;0;0;;;;;OMS RDC;, 6052;01/05/2021;;;;Haut Lomami;225;0;0;0;0;0;0;;;;;Comité multisectoriel de la riposte à la Pandémie du Covid-19 en RDC;, 6046;30/04/2021;;;;Tshopo;246;11;0;0;;;11;;;;;Comité multisectoriel de la riposte à la Pandémie du Covid-19 en RDC;).
Identifier / Metadata — esa_source (HDX), esa_processed (2026-04-05).
Quick Start
from datasets import load_dataset
ds = load_dataset("electricsheepafrica/africa-democratic-republic-of-the-congo-coronavirus-covid-19-subnational")
train = ds["train"].to_pandas()
test = ds["test"].to_pandas()
print(train.shape)
train.head()
Schema
| Column | Type | Null % | Range / Sample Values |
|---|---|---|---|
id_date_iso_3_pays_id_pays_region_id_region_contamines_deces_gueris_contamines_femme_contamines_homme_contamines_genre_non_specifie_nouveaux_individus_vaccines_1_dose_total_individus_vaccines_1_dose_nouveaux_individus_vaccines_2_doses_total_individus_vaccines_2_doses_source |
object | 0.0% | 1;19/09/2020;COD;République Démocratique du Congo;17;Bas Uele;222;0;0;0;0;0;0;;;;;OMS RDC;, 6052;01/05/2021;;;;Haut Lomami;225;0;0;0;0;0;0;;;;;Comité multisectoriel de la riposte à la Pandémie du Covid-19 en RDC;, 6046;30/04/2021;;;;Tshopo;246;11;0;0;;;11;;;;;Comité multisectoriel de la riposte à la Pandémie du Covid-19 en RDC; |
esa_source |
object | 0.0% | HDX |
esa_processed |
object | 0.0% | 2026-04-05 |
Numeric Summary
| Column | Min | Max | Mean | Median |
|---|---|---|---|---|
| No numeric columns. |
Curation
Raw data was downloaded from HDX via the CKAN API and converted to Parquet. Column names were lowercased and standardised to snake_case. Common missing-value markers (N/A, null, none, -, unknown, no data, #N/A) were unified to NaN. The dataset was split 80/20 into train and test partitions using a fixed random seed (42) and saved as Snappy-compressed Parquet.
Limitations
- Data originates from HERA - Humanitarian Emergency Response Africa and has not been independently validated by ESA.
- Automated cleaning cannot correct for misreported values, definitional inconsistencies, or sampling bias in the original collection.
- Refer to the original HDX dataset page for the publisher's own methodology notes and caveats.
Citation
@dataset{hdx_africa_democratic_republic_of_the_congo_coronavirus_covid_19_subnational,
title = {Democratic Republic of the Congo: Coronavirus (Covid-19) Subnational},
author = {HERA - Humanitarian Emergency Response Africa},
year = {2025},
url = {https://data.humdata.org/dataset/democratic-republic-of-the-congo-coronavirus-covid-19-subnational},
note = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
}
Electric Sheep Africa — Africa's ML dataset infrastructure. Lagos, Nigeria.