electricsheepafrica/africa-rwanda-resident-population-by-residence-province-and-district-202-7668078f

Resident population by residence, Province, and District (2022) | Africa (Rwanda Data Sharing Platform - NISR)

36 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: Resident population by residence, Province, and District (2022)
• Publisher: NISR
• Portal: Rwanda Data Sharing Platform
• Dataset ID: 409aecb1-2a10-405d-b6c1-5f950302edd2
• Schema: PHC5_2022_Main_Indicators
• Table: phc5_2022_main_indicators_table2
• 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 resident population of Rwanda by residence (urban/rural), Province, and District. 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: Count - Total, Count - Urban, Count - Rural 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	36	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.	409aecb1-2a10-405d-b6c1-5f950302edd2:0
country_iso3	string	ISO3 country code.	RWA
country_name	string	Country name.	Rwanda
id	int64	Row ID	1
province_district	string	Province/District	Rwanda
count_total	int64	Count - Total	13246394
count_urban	int64	Count - Urban	3701245
count_rural	int64	Count - Rural	9545149
percentage_total	int64	Percentage - Total	100
percentage_urban	float64	Percentage - Urban	27.9
percentage_rural	float64	Percentage - Rural	72.1
source_provider	string	Publishing organization.	NISR
source_dataset	string	Source dataset title.	Resident population by residence, Province, and District (2022)
source_resource	string	Source table name.	phc5_2022_main_indicators_table2
source_package_id	string	Rwanda Data Sharing Platform dataset UUID.	409aecb1-2a10-405d-b6c1-5f950302edd2
source_resource_id	string	Rwanda Data Sharing Platform dataset UUID.	409aecb1-2a10-405d-b6c1-5f950302edd2
source_url	string	Original source download URL.	https://api.data.gov.rw/api/v1/datasets/public/409aecb1-2a10-405d-b6c1-...
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-resident-population-by-residence-province-and-district-202-7668078f")
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_resident_population_by_residence_province_and_district_202_7668078_2026,
  title        = {Resident population by residence, Province, and District (2022) | Africa (Rwanda Data Sharing Platform - NISR)},
  author       = {NISR},
  year         = {2026},
  url          = {https://api.data.gov.rw/api/v1/datasets/public/409aecb1-2a10-405d-b6c1-5f950302edd2},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-rwanda-resident-population-by-residence-province-and-district-202-7668078f}}
}

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

---

Provenance: ingested 2026-07-18 via the Electric Sheep pipeline. Source URL: https://api.data.gov.rw/api/v1/datasets/public/409aecb1-2a10-405d-b6c1-5f950302edd2/download?format=csv