electricsheepafrica/africa-rwanda-eicv7-classic-public-work-11112876

EICV7: Classic public work | Africa (Rwanda Data Sharing Platform - NISR)

15,054 rows - 1 Africa country/area - 2023-10-16-2024-10-15 - source table - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 15,054 rows from Rwanda Data Sharing Platform - NISR, covering EICV7: Classic public work. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Education datasets help analysts study access, participation, learning systems, infrastructure, and outcomes across places and periods.

Source-provided context: Summary: This microdata table contains information on participation in the classic public work programme, collected in the seventh Integrated Household Living Conditions Survey, known as EICV7 (Enquête Intégrale sur les Conditions de Vie des ménages). A main cross-sectional sample survey, a panel survey and a VUP (Vision Umurenge Programme) sample survey were conducted simultaneously; this microdata table relates to the cross-sectional sample survey. 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.

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

Dimension	Value
Rows	15,054
Countries/areas	1
First period	2023-10-16
Last period	2024-10-15
Indicators	0
Columns	52
Source format	CSV

Geographic Coverage

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

Area	Rows	First year	Last year	Name
RWA	15,054	2023-10-16	2024-10-15	Rwanda

Indicators, Variables, Or Resource Contents

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

Schema

Column	Type	Description	Example
source_record_id	string	Stable row identifier assigned during Electric Sheep Africa engineering.	f1887864-c004-43b7-9615-b91e39af7b43:0
country_iso3	string	ISO3 country or area code.	RWA
country_name	string	Country or area name.	Rwanda
id	int64	Row ID	1
hhid	double	Household Identification	300001.0
clust	double	Cluster	10001.0
province	string	Numeric code (1–5) representing the administrative province of Rwanda where the survey respondent is located. 1 = Kigali City, 2 = Southern Province, 3 = Western Province, 4 = Northern Province, 5 = Eastern Province.	City of Kigali
district	string	Numeric code (11–57) representing the respondent's district in Rwanda. The first digit corresponds to the province (1-5), and the second digit identifies the district within that province. 11 = Nyarugenge, 12 = Gasabo, 13 = Kicukiro, 21 = Nyanza, 22 = Gisagara, 23 = Nyaruguru, 24 = Huye, 25 = Nyamagabe, 26 = Ruhango, 27 = Muhanga, 28 = Kamonyi, 31 = Karongi, 32 = Rutsiro, 33 = Rubavu, 34 = Nyabihu, 35 = Ngororero, 36 = Rusizi, 37 = Nyamasheke, 41 = Rulindo, 42 = Gakenke, 43 = Musanze, 44 = Burera, 45 = Gicumbi, 51 = Rwamagana, 52 = Nyagatare, 53 = Gatsibo, 54 = Kayonza, 55 = Kirehe, 56 = Ngoma, 57 = Bugesera.	Nyarugenge
ur	string	Residence area	Urban
pid	double	HH member ID	``
s9d1q1	bool	Beneficiaries of VUP(any component)	False
s9d2q1	string	Beneficiaries of class public work	``
s9d2q2m	string	Join the Classic Public Work Programme / Month	``
s9d2q2y	double	Join the Classic Public Work Programme / Year	``
s9d2q3	double	Number of months a household participated in cPW over the last 12 months	``
s9d2q4	double	Daily wage	``
s9d2q5	string	Way by which cPW payment were received to beneficiary	``
s9d2q6	string	Way of receiving cPW payment	``
s9d2q6_a	string	Buy Food	``
s9d2q6_b	string	Buy Cloth	``
s9d2q6_c	string	Buy Home Utensils	``
s9d2q6_d	string	Buy Durables asset	``
s9d2q6_e	string	Pay Education/School Fess	``
s9d2q6_f	string	Pay Health/Medical Expenses	``
s9d2q6_g	string	Buy Animals	``
s9d2q6_h	string	Invest in Farming	``
s9d2q6_i	string	Invest in business Income or income generating activity	``
s9d2q6_j	string	Improve dwelling	``
s9d2q6_k	string	Savings in SACCO,VSLA or Tontine	``
s9d2q6_l	string	Saving in EJo Heza	``
s9d2q6_m	string	Other	``
s9d2q7a	double	Number of delayed days of first last payment	``
s9d2q7b	double	Number of delayed days of second last payment	``
s9d2q7c	double	Number of delayed days of third last payment	``
s9d2q8	string	Did you receive payment for all the work performed during the last 12 months?	``
s9d2q9	string	When was the last Public Works payment received?	``
s9d2q10	double	How much did you receive in the last cPW payment?	``
s9d2q11	double	What is the total value of cPW payments you received over the last 12 months?	``
strata_id	double	strata Id	``
weight	double	Household Weight	``
quintile	string	Quintiles of real consumption per ae	``
pov_jan	string	Total Poverty Headcount Ratio	``
poverty	string	Welfare Categories	``
epov_jan	string	Extreme Poverty Headcount Ratio	``
source_provider	string	Publishing organization.	NISR
source_dataset	string	Source dataset or package title.	EICV7: Classic public work
source_resource	string	Source resource title, table name, or file name.	eicv7_s9d2_classic_public_work
source_package_id	string	Source package identifier.	f1887864-c004-43b7-9615-b91e39af7b43
source_resource_id	string	Source resource identifier.	f1887864-c004-43b7-9615-b91e39af7b43
source_url	string	Original source URL or download URL.	https://api.data.gov.rw/api/v1/datasets/public/f1887864-c004-43b7-961...
license_id	string	Source license identifier.	cc-by-4.0
retrieved_at	string	UTC source retrieval timestamp from the Electric Sheep Africa pipeline.	2026-07-18T11:48:51Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-rwanda-eicv7-classic-public-work-11112876")
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: eicv7_s9d2_classic_public_work
• License: CC BY 4.0
• Retrieved/generated: 2026-07-18T12:30:12Z
• Hugging Face repo: electricsheepafrica/africa-rwanda-eicv7-classic-public-work-11112876

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

• Compare education indicators by geography
• Track participation or completion trends
• Join with population and poverty indicators
• Check missingness before modeling
• Use country_iso3 as the safest geography join key when present

Citation

@misc{electric_sheep_africa_africa_rwanda_eicv7_classic_public_work_11112876_2024,
  title        = {EICV7: Classic public work | Africa (Rwanda Data Sharing Platform - NISR)},
  author       = {NISR},
  year         = {2024},
  url          = {https://api.data.gov.rw/api/v1/datasets/public/f1887864-c004-43b7-9615-b91e39af7b43},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-rwanda-eicv7-classic-public-work-11112876}}
}

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.

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Provenance: README standardized 2026-08-12 by the Electric Sheep Africa README system. Source URL: https://api.data.gov.rw/api/v1/datasets/public/f1887864-c004-43b7-9615-b91e39af7b43