electricsheepafrica/africa-rwanda-recent-migration-matrix-by-province-2022-ad4930ba

Recent migration matrix by Province (2022) | Africa (Rwanda Data Sharing Platform - NISR)

7 rows - 1 Africa country/area - 2022-08-01-2022-08-31 - source table - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

TL;DR

This dataset contains 7 rows from Rwanda Data Sharing Platform - NISR, covering Recent migration matrix by Province (2022). It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Demographic datasets help analysts understand population structure, household conditions, migration, gender, age, and settlement patterns.

Source-provided context: Summary: This aggregated data table contains the recent migration matrix by Province. 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: Province of origin, Province of residence (Destination), In-migrants, Out-migrants 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.

How To Read This Dataset

• —One row means: one source record from the original tabular resource, with Electric Sheep Africa provenance columns added where available.
• —Primary geography column: country_iso3.
• —Best time column: not detected.
• —Time coverage basis: source metadata period.
• —Recommended join keys: country_iso3 where available plus source-specific keys.

Coverage

Geographic Coverage

Top areas shown below, sorted by row count when available:

Indicators, Variables, Or Resource Contents

• —This repo preserves one source tabular resource with its usable columns kept together.

Schema

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-rwanda-recent-migration-matrix-by-province-2022-ad4930ba")
df = ds["train"].to_pandas()
print(df.head())

Inspect Columns

print(df.info())
print(df.head())

Filter By Geography

if "country_iso3" in df.columns:
    sample = df[df["country_iso3"] == "RWA"]

Time-Series Pattern

if "value" in df.columns and "year" in df.columns:
    trend = df.sort_values("year")

Pivot For Analysis

if {"indicator_id", "year", "value"}.issubset(df.columns):
    matrix = df.pivot_table(index="year", columns="indicator_id", values="value")
    print(matrix.tail())

Data Quality Notes

• —No canonical year/date column was detected in the packaged table; use source metadata and domain context for temporal interpretation.
• —Missing values are preserved rather than silently imputed.
• —Column names are standardized for machine use; source meanings are preserved where known.
• —Always confirm source methodology, units, and collection definitions before policy, production, or redistribution-sensitive use.

Source And Provenance

• —Source: Rwanda Data Sharing Platform - NISR
• —Publisher: NISR
• —Portal: https://data.gov.rw/
• —Resource: phc5_2022_main_indicators_table31
• —License: CC BY 4.0
• —Retrieved/generated: 2026-07-18T13:11:27Z
• —Hugging Face repo: electricsheepafrica/africa-rwanda-recent-migration-matrix-by-province-2022-ad4930ba

Transformations Applied

• —Converted the source table to Parquet for efficient analytics and ML workflows.
• —Added or preserved source provenance columns where available.
• —Standardized README metadata, dataset loading configuration, schema documentation, and citation format.
• —Preserved source-reported values without analytical imputation.

Suggested Analyses

• —Build demographic profiles
• —Normalize indicators per capita
• —Join with service-delivery datasets
• —Check missingness before modeling
• —Use country_iso3 as the safest geography join key when present

Citation

@misc{electric_sheep_africa_africa_rwanda_recent_migration_matrix_by_province_2022_ad4930ba_2022,
  title        = {Recent migration matrix by Province (2022) | Africa (Rwanda Data Sharing Platform - NISR)},
  author       = {NISR},
  year         = {2022},
  url          = {https://api.data.gov.rw/api/v1/datasets/public/5949cee0-b26b-4ea5-bc50-8d49898e693c},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-rwanda-recent-migration-matrix-by-province-2022-ad4930ba}}
}

License

Released under CC BY 4.0.

Original data is published by NISR. Electric Sheep Africa engineering standardizes the data for discovery, loading, and analysis on Hugging Face. Cite both the original source and this ML-ready dataset when used.

About Electric Sheep Africa

Electric Sheep Africa publishes ML-ready African public datasets on Hugging Face.

Provenance: README standardized 2026-08-12 by the Electric Sheep Africa README system. Source URL: https://api.data.gov.rw/api/v1/datasets/public/5949cee0-b26b-4ea5-bc50-8d49898e693c