electricsheepafrica/africa-rwanda-current-use-of-contraception-according-to-background-chara-5c7487dc

Current use of contraception according to background characteristics (Currently married women) (2025) | Africa (Rwanda Data Sharing Platform - NISR)

28 rows - 1 Africa country - 2025-06-01-2025-11-30 - 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: Current use of contraception according to background characteristics (Currently married women) (2025)
• Publisher: NISR
• Portal: Rwanda Data Sharing Platform
• Dataset ID: 2247b389-fbd4-4b99-aae8-576a1ed2a451
• Schema: DHS7_Key_Indicators
• Table: dhs7_key_indicators_table6a
• Sectors: National Statistics, Health
• Source tags: Aggregated data
• Period: 2025-06-01-2025-11-30
• Resource: CSV package
• License: CC BY 4.0
• Packaging mode: tabular_resource

Source description

Summary: This aggregated data table contains data on the current use of contraception according to background characteristics, by currently married women. This data was collected in the 2025 Rwanda Demographic and Health Survey (2025 RDHS). It is part of the Key Indicators Report, which presents preliminary findings on fertility, family planning, maternal and child health, nutrition, knowledge about HIV/AIDS, mortality, and other selected indicators. Geographic Coverage: The 2025 Rwanda Demographic and Health Survey was a nation-wide survey (Rwanda). Time Period: Data collection took place from June to November 2025. Frequency: The Rwanda Demographic and Health Survey takes place every 5 years. The 2025 Rwanda Demographic and Health Survey follows those implemented in 1992, 2000, 2005, 2010, 2014-15, and 2019-20. Population/Units: This sample survey covered men aged 15-59 years, Women aged 15-49 and Children aged 0-5 years. The unit analysis of this survey are households and individuals. Key Variables: Any method, Any modern method, Injectables, Implants, Pill, Male condom, Any traditional method Purpose: The Rwanda Demographic and Health Survey provides key information on population, family planning, maternal and child health, child survival, HIV/AIDS and sexually transmitted infections (STIs), reproductive health, and nutrition in Rwanda. Data Quality Notes: Information on data quality is pending the release of the full report in June 2026.

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
RWA	28	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.	2247b389-fbd4-4b99-aae8-576a1ed2a451:0
country_iso3	string	ISO3 country code.	RWA
country_name	string	Country name.	Rwanda
id	int64	Row ID	1
background_characteristic	string	Background characteristic	Number of living children: 0
any_method	float64	Any method	2.2
any_modern_method	float64	Any modern method	2.2
female_sterilization	float64	Female sterilization	0.1
male_sterilization	float64	Male sterilization	0.3
iud	float64	IUD	0.0
injectables	float64	Injectables	0.4
implants	float64	Implants	0.7
pill	float64	Pill	0.2
male_condom	float64	Male condom	0.5
female_condom	float64	Female condom	0.0
emergency_contraception	float64	Emergency contraception	0.0
standard_days_method_sdm	float64	Standard Days Method (SDM)	0.0
lactational_amenorrhea_method_lam	float64	Lactational Amenorrhea Method (LAM)	0.0
other_modern_method	float64	Other modern method	0.0
any_traditional_method	float64	Any traditional method	0.0
rhythm	float64	Rhythm	0.0
withdrawal	float64	Withdrawal	0.0
other_traditional_method	float64	Other traditional method	0.0
not_currently_using	float64	Not currently using	97.8
total	int64	Total	100
number_of_women	int64	Number of women	356
source_provider	string	Publishing organization.	NISR
source_dataset	string	Source dataset title.	Current use of contraception according to background characteristics (C...
source_resource	string	Source table name.	dhs7_key_indicators_table6a
source_package_id	string	Rwanda Data Sharing Platform dataset UUID.	2247b389-fbd4-4b99-aae8-576a1ed2a451
source_resource_id	string	Rwanda Data Sharing Platform dataset UUID.	2247b389-fbd4-4b99-aae8-576a1ed2a451
source_url	string	Original source download URL.	https://api.data.gov.rw/api/v1/datasets/public/2247b389-fbd4-4b99-aae8-...
license_id	string	Source license identifier.	cc-by-4.0
retrieved_at	string	UTC retrieval timestamp.	2026-07-18T10:37:04Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-rwanda-current-use-of-contraception-according-to-background-chara-5c7487dc")
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_current_use_of_contraception_according_to_background_chara_5c7487d_2026,
  title        = {Current use of contraception according to background characteristics (Currently married women) (2025) | Africa (Rwanda Data Sharing Platform - NISR)},
  author       = {NISR},
  year         = {2026},
  url          = {https://api.data.gov.rw/api/v1/datasets/public/2247b389-fbd4-4b99-aae8-576a1ed2a451},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-rwanda-current-use-of-contraception-according-to-background-chara-5c7487dc}}
}

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/2247b389-fbd4-4b99-aae8-576a1ed2a451/download?format=csv