electricsheepafrica/africa-rwanda-births-and-perinatal-deaths-2025-8a1a194d

Births and perinatal deaths (2025) | Africa (Rwanda Data Sharing Platform - NISR)

60 rows - 1 Africa country - 2025-01-01-2025-12-31 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one public table from Rwanda's official Data Sharing Platform as ML-ready Parquet. The source package is the provenance boundary: all usable source columns from this table stay together in this repo.

About the source

• Source: Births and perinatal deaths (2025)
• Publisher: NISR
• Portal: Rwanda Data Sharing Platform
• Dataset ID: f423cc1f-61b0-4614-934f-7419e81a5c9e
• Schema: Statistical_Yearbook_2025
• Table: sy_2025_table3.2
• Sectors: National Statistics, Health, Demographics
• Source tags: Aggregated data
• Period: 2025-01-01-2025-12-31
• Resource: CSV package
• License: CC BY 4.0
• Packaging mode: tabular_resource

Source description

Summary: This aggregated data table contains data on births and perinatal deaths by facility type. This data was collected by the Rwanda Biomedical Center (RBC) and presented in the 2025 Statistical Yearbook, which covers a broad spectrum of topics, including household living conditions, health, demography, labor force, gender, education, environment, agriculture, water and energy, transportation, communication, travel and tourism, income, expenditure and wealth, banking, insurance and finance, business enterprises and foreign trade, justice, and population, among others. Geographic Coverage: The Statistical Yearbook covers all of Rwanda at the national level. Time Period: January 2025 to December 2025. Frequency: The data are collected from multiple sources. The Statistical Yearbook is created annually. Population/Units: Individuals and households. Key Variables: Facility type, Total births, Total deaths, Births < 2.5 kg Purpose: The Statistical Yearbook 2025 serves as a critical resource for policymakers, researchers, and stakeholders, offering evidence-based information to support informed decision-making and policy development. Data Quality Notes: The data are collected from multiple sources; information on methodology is specific to each source.

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
RWA	60	n/a	n/a	Rwanda

Indicators or Resource Contents

• This source package is published as a normalized tabular resource.

Schema

Column	Type	Description	Example
source_record_id	string	Stable row identifier assigned during Electric Sheep Africa packaging.	f423cc1f-61b0-4614-934f-7419e81a5c9e:0
country_iso3	string	ISO3 country code.	RWA
country_name	string	Country name.	Rwanda
id	int64	Row ID	1
year	int64	Observation year.	2019
facility_type	string	Facility type	Health Posts
total_births	float64	Total births	2691.0
total_deaths	float64	Total deaths	30.0
births_2_5_kg	float64	Births < 2.5 kg	113.0
low_bw	float64	% low BW	4.2
perinatal_death_rate_1_1000	float64	Perinatal death rate (1/1000)	``
source_provider	string	Publishing organization.	NISR
source_dataset	string	Source dataset title.	Births and perinatal deaths (2025)
source_resource	string	Source table name.	sy_2025_table3.2
source_package_id	string	Rwanda Data Sharing Platform dataset UUID.	f423cc1f-61b0-4614-934f-7419e81a5c9e
source_resource_id	string	Rwanda Data Sharing Platform dataset UUID.	f423cc1f-61b0-4614-934f-7419e81a5c9e
source_url	string	Original source download URL.	https://api.data.gov.rw/api/v1/datasets/public/f423cc1f-61b0-4614-934f-...
license_id	string	Source license identifier.	cc-by-4.0
retrieved_at	string	UTC retrieval timestamp.	2026-07-18T11:48:51Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-rwanda-births-and-perinatal-deaths-2025-8a1a194d")
df = ds["train"].to_pandas()
print(df.head())

Filter to Rwanda

rwanda = df[df["country_iso3"] == "RWA"]

Work with indicators

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

@misc{electric_sheep_africa_africa_rwanda_births_and_perinatal_deaths_2025_8a1a194d_2026,
  title        = {Births and perinatal deaths (2025) | Africa (Rwanda Data Sharing Platform - NISR)},
  author       = {NISR},
  year         = {2026},
  url          = {https://api.data.gov.rw/api/v1/datasets/public/f423cc1f-61b0-4614-934f-7419e81a5c9e},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-rwanda-births-and-perinatal-deaths-2025-8a1a194d}}
}

License

Released under CC BY 4.0.

Original data (c) NISR. 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

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Provenance: ingested 2026-07-18 via the Electric Sheep pipeline. Source URL: https://api.data.gov.rw/api/v1/datasets/public/f423cc1f-61b0-4614-934f-7419e81a5c9e/download?format=csv