electricsheepafrica/africa-rwanda-employment-status-icls-93-by-area-de7fdfeb

Employment Status (ICLS-93) by Area | Africa (Rwanda Data Sharing Platform - NISR)

56 rows - 1 Africa country - 2025-01-01-2025-12-31 - 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: Employment Status (ICLS-93) by Area
• Publisher: NISR
• Portal: Rwanda Data Sharing Platform
• Dataset ID: f62a8008-5ecb-489a-b9c0-78a8e5a02a07
• Schema: Labour Force Survey Aggregated
• Table: employment_status_by_area
• Sectors: National Statistics, Labour
• Source tags: Aggregated data
• Period: 2025-01-01-2025-12-31
• Resource: CSV package
• License: CC BY 4.0
• Packaging mode: tabular_resource

Source description

Summary: This table is part of the Rwanda Labour Force Survey (LFS) 2025 aggregated schema, which compiles quarterly labour market data from 2019 to 2025 to provide a continuous and longitudinal view of workforce dynamics. It presents the distribution of the employed population by status in employment using the ICLS-93 classification, disaggregated by area of residence (urban and rural). The table shows percentage shares of employment categories across areas, enabling analysis of structural differences in employment types between urban and rural populations over time. Geographic Coverage: National coverage across Rwanda, with disaggregation by urban and rural areas. Time Period: Quarterly data from 2019 Q1 to 2025 Q4. Frequency: Quarterly Population/Units: Employed persons aged 16 years and above. Key Variables: Employment status (ICLS-93 classification), area of residence (urban/rural), number of employed persons, and percentage share by employment category. Purpose: To support analysis of employment structure across geographic areas, informing labour market policies, urban-rural development strategies, and economic transformation planning. Data Quality Notes: Data are derived from nationally representative Quarterly Labour Force Surveys conducted by the National Institute of Statistics of Rwanda (NISR). Estimates are weighted and subject to sampling variability, reflecting employment conditions at the time of each survey round.

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
RWA	56	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.	f62a8008-5ecb-489a-b9c0-78a8e5a02a07:0
country_iso3	string	ISO3 country code.	RWA
country_name	string	Country name.	Rwanda
area	string	Area of residence: "Urban" or "Rural"	Residence: Rural
year	int64	Observation year.	2019
quarter	string	Survey quarter (Q1, Q2, Q3, Q4)	Q1
contributing_family_worker	float64	Share of employed who are unpaid family workers (%)	4.136797538334478
employed_population_aged_16	float64	Total employed population aged 16 and above (absolute number)	2451343.3567392286
employee	float64	Share of employed who work as employees for pay (%)	66.88661881511935
employer_with_regular_employees	float64	Share of employed who are employers with regular employees (%)	0.7909573260340733
member_of_cooperative	float64	Share of employed who are members of cooperatives (%)	0.5748183582229769
own_account_worker_without_regular_employees	float64	Share of employed who are self-employed without employees (%)	27.610807962289368
source_provider	string	Publishing organization.	NISR
source_dataset	string	Source dataset title.	Employment Status (ICLS-93) by Area
source_resource	string	Source table name.	employment_status_by_area
source_package_id	string	Rwanda Data Sharing Platform dataset UUID.	f62a8008-5ecb-489a-b9c0-78a8e5a02a07
source_resource_id	string	Rwanda Data Sharing Platform dataset UUID.	f62a8008-5ecb-489a-b9c0-78a8e5a02a07
source_url	string	Original source download URL.	https://api.data.gov.rw/api/v1/datasets/public/f62a8008-5ecb-489a-b9c0-...
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-employment-status-icls-93-by-area-de7fdfeb")
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_employment_status_icls_93_by_area_de7fdfeb_2026,
  title        = {Employment Status (ICLS-93) by Area | Africa (Rwanda Data Sharing Platform - NISR)},
  author       = {NISR},
  year         = {2026},
  url          = {https://api.data.gov.rw/api/v1/datasets/public/f62a8008-5ecb-489a-b9c0-78a8e5a02a07},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-rwanda-employment-status-icls-93-by-area-de7fdfeb}}
}

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/f62a8008-5ecb-489a-b9c0-78a8e5a02a07/download?format=csv