CoolFace
Datasetpublic

electricsheepafrica/africa-rwanda-table-2-4-distribution-of-internal-migrants-in-the-last-fi-e237fce2

Table 2.4: Distribution (%) of internal migrants in the last five years, by primary reason for moving, current location (area of residence, province), consumption quintile and sex | Africa (Rwanda Data Sharing Platform - NISR) 15 rows - 1 Africa country/area - 2023-10-16-2024-10-15 - source table - Engineered by Electric Sheep Africa TL;DR This dataset contains 15 rows from Rwanda Data Sharing Platform - NISR, covering Table 2.4: Distribution (%) of internal… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-rwanda-table-2-4-distribution-of-internal-migrants-in-the-last-fi-e237fce2.

sourceHugging Facecc-by-4.0updated 2mo agoView on Hugging Face
0likes19downloads
Dataset Card

Table 2.4: Distribution (%) of internal migrants in the last five years, by primary reason for moving, current location (area of residence, province), consumption quintile and sex | Africa (Rwanda Data Sharing Platform - NISR)

15 rows - 1 Africa country/area - 2023-10-16-2024-10-15 - source table - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

rows countries period indicators license

TL;DR

This dataset contains 15 rows from Rwanda Data Sharing Platform - NISR, covering Table 2.4: Distribution (%) of internal migrants in the last five years, by primary reason for moving, current location (area of residence, province), consumption quintile and sex. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Official statistics datasets help analysts inspect public data as published by governments, national statistical systems, and regional data portals.

Source-provided context: Summary: This aggregated data table contains data on the distribution (%) of internal migrants in the last five years, by primary reason for moving, current location (area of residence, province), consumption quintile and sex. This data was collected in the seventh Integrated Household Living Conditions Survey, known as EICV7 (Enquête Intégrale sur les Conditions de Vie des ménages). Geographic Coverage: National coverage (Rwanda), including rural and urban households and allowing province- and district-level estimation of key indicators. Time Period: The EICV7 data collection covered a 12 month period (October 2023 to October 2024). In order to represent the seasonality in the income and consumption data, the fieldwork was divided into nine nationally representative cycles. Frequency: The EICV is conducted every three years; prior to EICV4, the survey was conducted every five years, with the first survey (EICV1) conducted in 2000/01.

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

DimensionValue
Rows15
Countries/areas1
First period2023-10-16
Last period2024-10-15
Indicators0
Columns30
Source formatCSV

Geographic Coverage

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

AreaRowsFirst yearLast yearName
RWA152023-10-162024-10-15Rwanda

Indicators, Variables, Or Resource Contents

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

Schema

ColumnTypeDescriptionExample
source_record_idstringStable row identifier assigned during Electric Sheep Africa engineering.2df1f6e7-7d2b-4a25-8b2d-240aa90c48d4:0
country_iso3stringISO3 country or area code.RWA
country_namestringCountry or area name.Rwanda
idint64Source column from the original resource.1
area_of_residence_province_sex_consumption_quintilestringSource column from the original resource.Rwanda
primary_reason_for_moving_employmentdoubleSource column from the original resource.14.08511921
primary_reason_for_moving_employment_of_spousedoubleSource column from the original resource.1.552576211
primary_reason_for_moving_loss_of_employmentdoubleSource column from the original resource.3.987907875
primary_reason_for_moving_lack_of_employmentdoubleSource column from the original resource.12.55636533
primary_reason_for_moving_marriagedoubleSource column from the original resource.9.394648548
primary_reason_for_moving_parent_hh_moveddoubleSource column from the original resource.30.48371649
primary_reason_for_moving_to_live_in_own_house_elsewheredoubleSource column from the original resource.2.349699853
primary_reason_for_moving_other_family_reasonsdoubleSource column from the original resource.7.895745101
primary_reason_for_moving_desire_to_return_homedoubleSource column from the original resource.8.902892509
primary_reason_for_moving_studiesdoubleSource column from the original resource.2.585697849
primary_reason_for_moving_trade_and_businessdoubleSource column from the original resource.0.099517021
primary_reason_for_moving_disasters_or_insecuritydoubleSource column from the original resource.0.742308757
primary_reason_for_moving_healthdoubleSource column from the original resource.0.801970276
primary_reason_for_moving_lack_of_landdoubleSource column from the original resource.2.261712255
primary_reason_for_moving_otherdoubleSource column from the original resource.2.30012271
totalint64Source column from the original resource.100
persons_migrating_internally_in_last_5_years_000sdoubleSource column from the original resource.1770.863599
source_providerstringPublishing organization.NISR
source_datasetstringSource dataset or package title.Table 2.4: Distribution (%) of internal migrants in the last five yea...
source_resourcestringSource resource title, table name, or file name.eicv7_main_indicators_table2.4
source_package_idstringSource package identifier.2df1f6e7-7d2b-4a25-8b2d-240aa90c48d4
source_resource_idstringSource resource identifier.2df1f6e7-7d2b-4a25-8b2d-240aa90c48d4
source_urlstringOriginal source URL or download URL.https://api.data.gov.rw/api/v1/datasets/public/2df1f6e7-7d2b-4a25-8b2...
license_idstringSource license identifier.cc-by-4.0
retrieved_atstringUTC source retrieval timestamp from the Electric Sheep Africa pipeline.2026-07-18T11:48:51Z

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-rwanda-table-2-4-distribution-of-internal-migrants-in-the-last-fi-e237fce2")
df = ds["train"].to_pandas()
print(df.head())

Inspect Columns

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

Filter By Geography

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

Time-Series Pattern

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

Pivot For Analysis

python
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

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

  • —Profile the distribution of values
  • —Compare categories or geographies
  • —Join with complementary public datasets
  • —Check missingness before modeling
  • —Use country_iso3 as the safest geography join key when present

Citation

bibtex
@misc{electric_sheep_africa_africa_rwanda_table_2_4_distribution_of_internal_migrants_in_the_last_fi_e237fce_2024,
  title        = {Table 2.4: Distribution (%) of internal migrants in the last five years, by primary reason for moving, current location (area of residence, province), consumption quintile and sex | Africa (Rwanda Data Sharing Platform - NISR)},
  author       = {NISR},
  year         = {2024},
  url          = {https://api.data.gov.rw/api/v1/datasets/public/2df1f6e7-7d2b-4a25-8b2d-240aa90c48d4},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-rwanda-table-2-4-distribution-of-internal-migrants-in-the-last-fi-e237fce2}}
}

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/2df1f6e7-7d2b-4a25-8b2d-240aa90c48d4