electricsheepafrica/africa-rwanda-eicv7-vup-credits-15a6131f

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

5,404 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): Credits
• Publisher: NISR
• Portal: Rwanda Data Sharing Platform
• Dataset ID: 790037b3-72ba-4c5e-bc00-1e59faffa029
• Schema: EICV7_VUP
• Table: eicv7_vup_s10a1_a2_credits
• 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 credits 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: Loan recipient ID number, Household member tried to obtain a loan, Main reason why loan was denied, Household members owe money, Loan ID number 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	5,404	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.	790037b3-72ba-4c5e-bc00-1e59faffa029:0
country_iso3	string	ISO3 country code.	RWA
country_name	string	Country name.	Rwanda
id	int64	Row ID	1
hhid	float64	Household Identification	120380.0
clust	float64	Clust	12248.0
province	bool	Province	True
district	float64	District	11.0
ur	int64	Residence area	2
province_1	bool	Province	True
pid	float64	Loan recipient Id Number	1.0
s10aq1	float64	Household member tried to obtain a loan	2.0
s10aq2	float64	Main reason why loan was denied	``
s10aq3	float64	Household members owe money	1.0
s10aq4	float64	Loan Id Number	1.0
s10aq6	float64	Loan source	8.0
s10aq7	float64	Main purpose of loan	9.0
s10aq8	float64	Property required to secure the loan	4.0
s10aq9	float64	Has loan been repaid partislly or completely	2.0
weight	float64	Household Weight	78.135704
quintile	int64	Quintiles of real consumption per ae	1
pov_jan	float64	Total Poverty Headcount Ratio	100.0
poverty	float64	Welfare Categories	1.0
epov_jan	float64	Extreme Poverty Headcount Ratio	100.0
strata_id	int64	VUP Strata	5
source_provider	string	Publishing organization.	NISR
source_dataset	string	Source dataset title.	EICV7 (VUP): Credits
source_resource	string	Source table name.	eicv7_vup_s10a1_a2_credits
source_package_id	string	Rwanda Data Sharing Platform dataset UUID.	790037b3-72ba-4c5e-bc00-1e59faffa029
source_resource_id	string	Rwanda Data Sharing Platform dataset UUID.	790037b3-72ba-4c5e-bc00-1e59faffa029
source_url	string	Original source download URL.	https://api.data.gov.rw/api/v1/datasets/public/790037b3-72ba-4c5e-bc00-...
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-credits-15a6131f")
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_credits_15a6131f_2026,
  title        = {EICV7 (VUP): Credits | Africa (Rwanda Data Sharing Platform - NISR)},
  author       = {NISR},
  year         = {2026},
  url          = {https://api.data.gov.rw/api/v1/datasets/public/790037b3-72ba-4c5e-bc00-1e59faffa029},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-rwanda-eicv7-vup-credits-15a6131f}}
}

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/790037b3-72ba-4c5e-bc00-1e59faffa029/download?format=csv