electricsheepafrica/africa-rwanda-eicv7-vup-direct-support-5bcf17e2

EICV7 (VUP): Direct support | Africa (Rwanda Data Sharing Platform - NISR)

1,003 rows - 1 Africa country - 2023-10-16-2024-10-15 - 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: EICV7 (VUP): Direct support
• Publisher: NISR
• Portal: Rwanda Data Sharing Platform
• Dataset ID: f6b4b253-a4e2-42e9-b2d2-66fec61fed2e
• Schema: EICV7_VUP
• Table: eicv7_vup_s9d1_direct_support
• Sectors: National Statistics, Social Protection
• Source tags: Microdata
• Period: 2023-10-16-2024-10-15
• Resource: CSV package
• License: CC BY 4.0
• Packaging mode: tabular_resource

Source description

Summary: This microdata table contains information on the VUP (Vision Umurenge Programme) direct support component, 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 VUP 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. 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. Population/Units: Household members Key Variables: Select HH member who is in VUP, Beneficiaries of VUP, Reason for enrolling in the VUP direct support component, How much money the household received from VUP-DS in the past 12 months?, Way by which direct support payment received Purpose: This survey serves as a key source of socio-economic data on the living conditions of Rwandan households. It plays a critical role in the ongoing monitoring and evaluation of national and international development frameworks, including the Second National Strategy for Transformation (NST2), the 2030 Sustainable Development Goals (SDGs), and Vision 2050, among others. The survey data are also vital for compiling national accounts and updating the Consumer Price Index (CPI). Data Quality Notes: The response rate exceeded 99% by the end of the survey, with 15,054 out of the 15,066 targeted households successfully interviewed. For more information on the EICV7 VUP Survey including further details on methodology, please see the collection-level description.

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
RWA	1,003	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.	f6b4b253-a4e2-42e9-b2d2-66fec61fed2e:0
country_iso3	string	ISO3 country code.	RWA
country_name	string	Country name.	Rwanda
id	int64	Row ID	1
hhid	float64	Household Identification	120389.0
clust	float64	Clust	12248.0
province	bool	Province	True
district	float64	District	11.0
ur	int64	Residence area	2
pid	int64	Select hh member who is in VUP	1
s9d1q1	bool	beneficiaries of VUP	True
s9d1q2m	int64	Month	7
s9d1q2y	int64	Year	2014
s9d1q3	int64	reason for enrolling in the VUP direct support component	2
s9d1q4	int64	How much money the household received from VUP-DS in the past 12 months?	144000
s9d1q5	bool	way by which direct support payment received	True
s9d1q6	string	Activity by which the direct support benefit used for	A
s9d1q6_a	float64	Buy Food	1.0
s9d1q6_b	float64	Buy Cloth	2.0
s9d1q6_c	float64	Buy Home Utensils	2.0
s9d1q6_d	float64	Buy Durables asset	2.0
s9d1q6_e	float64	Pay Education/School Fess	2.0
s9d1q6_f	float64	Pay Health/Medical Expenses	2.0
s9d1q6_g	float64	Buy Animals	2.0
s9d1q6_h	float64	Invest in Farming	2.0
s9d1q6_i	float64	Invest in business Income or income generating activity	2.0
s9d1q6_j	float64	Improve dwelling	2.0
s9d1q6_k	float64	Savings in SACCO VSLA or Tontine	2.0
s9d1q6_l	float64	Saving in EJo Heza	2.0
s9d1q6_m	float64	Other	2.0
s9d1q6_other	string	Other - specify	``
s9d1q7	bool	Have you received your DS entitlement for all the months since you joined	True
s9d1q8a	int64	Number of delayed days of first last payment	8
s9d1q8b	int64	Number of delayed days of second last payment	5
s9d1q8c	int64	Number of delayed days of third last payment	11
weight	float64	Household Weight	78.135704
quintile	int64	Quintiles of real consumption per ae	2
pov_jan	float64	Total Poverty Headcount Ratio	100.0
poverty	float64	Welfare Categories	2.0
epov_jan	float64	Extreme Poverty Headcount Ratio	0.0
strata_id	int64	VUP Strata	5
source_provider	string	Publishing organization.	NISR
source_dataset	string	Source dataset title.	EICV7 (VUP): Direct support
source_resource	string	Source table name.	eicv7_vup_s9d1_direct_support
source_package_id	string	Rwanda Data Sharing Platform dataset UUID.	f6b4b253-a4e2-42e9-b2d2-66fec61fed2e
source_resource_id	string	Rwanda Data Sharing Platform dataset UUID.	f6b4b253-a4e2-42e9-b2d2-66fec61fed2e
source_url	string	Original source download URL.	https://api.data.gov.rw/api/v1/datasets/public/f6b4b253-a4e2-42e9-b2d2-...
license_id	string	Source license identifier.	cc-by-4.0
retrieved_at	string	UTC retrieval timestamp.	2026-07-18T10:37:04Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-rwanda-eicv7-vup-direct-support-5bcf17e2")
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_eicv7_vup_direct_support_5bcf17e2_2026,
  title        = {EICV7 (VUP): Direct support | Africa (Rwanda Data Sharing Platform - NISR)},
  author       = {NISR},
  year         = {2026},
  url          = {https://api.data.gov.rw/api/v1/datasets/public/f6b4b253-a4e2-42e9-b2d2-66fec61fed2e},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-rwanda-eicv7-vup-direct-support-5bcf17e2}}
}

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/f6b4b253-a4e2-42e9-b2d2-66fec61fed2e/download?format=csv