electricsheepafrica/africa-rwanda-population-annual-growth-rate-2022-3563a456

Population annual growth rate (2022) | Africa (Rwanda Data Sharing Platform - NISR)

4 rows - 1 Africa country - 2022-08-01-2022-08-31 - 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: Population annual growth rate (2022)
• Publisher: NISR
• Portal: Rwanda Data Sharing Platform
• Dataset ID: a7e610a5-bda4-43f2-90b9-10e4e48dec4f
• Schema: PHC5_2022_Main_Indicators
• Table: phc5_2022_main_indicators_table4b
• Sectors: National Statistics, Demographics
• Source tags: Aggregated data
• Period: 2022-08-01-2022-08-31
• Resource: CSV package
• License: CC BY 4.0
• Packaging mode: tabular_resource

Source description

Summary: This aggregated data table contains data on the population annual growth rate. This data was collected in the 5th Rwanda Population and Housing Census (PHC5) in August 2022. Geographic Coverage: National coverage (Rwanda), with disaggregation up to Province and District level. Time Period: The 5th Rwanda Population and Housing Census was conducted in August 2022. Frequency: The Rwanda Population and Housing Census is conducted every 10 years. Population/Units: Household members Key Variables: Average annual growth rate (%) Purpose: Measuring progress in Rwanda's development calls for the availability of economic, demographic and social statistical data necessary to compile developmental indicators at different levels and points in time. This census thus comes to serve that purpose. Data Quality Notes: Data quality assessment published at https://statistics.gov.rw/data-sources/censuses/Population-and-Housing-Census/fifth-population-and-housing-census-2022/rphc5-thematic-reports/rphc5-thematic-report-data-quality-assessment .

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
RWA	4	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.	a7e610a5-bda4-43f2-90b9-10e4e48dec4f:0
country_iso3	string	ISO3 country code.	RWA
country_name	string	Country name.	Rwanda
id	int64	Row ID	1
period	string	Period	1978-1991
average_annual_growth_rate_both_sexes	float64	Average annual growth rate (%) - Both sexes	3.1
average_annual_growth_rate_male	float64	Average annual growth rate (%) - Male	3.0
average_annual_growth_rate_female	float64	Average annual growth rate (%) - Female	3.1
source_provider	string	Publishing organization.	NISR
source_dataset	string	Source dataset title.	Population annual growth rate (2022)
source_resource	string	Source table name.	phc5_2022_main_indicators_table4b
source_package_id	string	Rwanda Data Sharing Platform dataset UUID.	a7e610a5-bda4-43f2-90b9-10e4e48dec4f
source_resource_id	string	Rwanda Data Sharing Platform dataset UUID.	a7e610a5-bda4-43f2-90b9-10e4e48dec4f
source_url	string	Original source download URL.	https://api.data.gov.rw/api/v1/datasets/public/a7e610a5-bda4-43f2-90b9-...
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-population-annual-growth-rate-2022-3563a456")
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_population_annual_growth_rate_2022_3563a456_2026,
  title        = {Population annual growth rate (2022) | Africa (Rwanda Data Sharing Platform - NISR)},
  author       = {NISR},
  year         = {2026},
  url          = {https://api.data.gov.rw/api/v1/datasets/public/a7e610a5-bda4-43f2-90b9-10e4e48dec4f},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-rwanda-population-annual-growth-rate-2022-3563a456}}
}

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/a7e610a5-bda4-43f2-90b9-10e4e48dec4f/download?format=csv