Datasets:

electricsheepafrica
/

africa-rwanda-table-3-2-percentage-of-population-reporting-health-proble-b29a30d5

license: cc-by-4.0
language:
  - en
task_categories:
  - tabular-classification
  - tabular-regression
multilinguality: monolingual
size_categories:
  - n<1K
tags:
  - tabular
  - csv
  - africa
  - rwanda
  - data-gov-rw
  - rwanda-data-sharing-platform
  - nisr
  - official-statistics
  - open-data
  - national-statistics
  - social-protection
  - aggregated-data
  - demographics
  - economics
  - health
pretty_name: >-
  Table 3.2: Percentage (%) of population reporting health problem and medical
  consultation status according to area of residence, province, consumption
  quintile and sex | Africa (Rwanda Data Sharing Platform - NISR)

Table 3.2: Percentage (%) of population reporting health problem and medical consultation status according to area of residence, province, consumption quintile and sex | Africa (Rwanda Data Sharing Platform - NISR)

15 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: Table 3.2: Percentage (%) of population reporting health problem and medical consultation status according to area of residence, province, consumption quintile and sex
Publisher: NISR
Portal: Rwanda Data Sharing Platform
Dataset ID: 663f5ace-a725-45cc-8608-cbadc6d1405a
Schema: EICV7_Main_Indicators
Table: eicv7_main_indicators_table3.2
Sectors: National Statistics, Social Protection
Source tags: Aggregated data
Period: 2023-10-16-2024-10-15
Resource: CSV package
License: CC BY 4.0
Packaging mode: tabular_resource

Source description

Summary: This aggregated data table contains data on the percentage (%) of the population reporting health problems and medical consultation status according to 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. Population/Units: Household members Key Variables: % reporting health problem in last 4 weeks, Total population (000s), Made medical consultation?, Persons reporting health problem in last 4 weeks (000s) 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. More details can be found in the EICV7 Methodological notes report.

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
`RWA`	15	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.	`663f5ace-a725-45cc-8608-cbadc6d1405a:0`
`country_iso3`	`string`	ISO3 country code.	`RWA`
`country_name`	`string`	Country name.	`Rwanda`
`id`	`int64`	Row ID	`1`
`area_of_residence_province_sex_consumption_quintile`	`string`	Area of residence/Province/Sex/Consumption quintile	`Rwanda`
`reporting_health_problem_in_last_4_weeks`	`float64`	% reporting health problem in last 4 weeks	`27.0812375`
`total_population_000s`	`float64`	Total population (000s)	`13549.45694`
`made_medical_consultation_yes`	`float64`	Made medical consultation? Yes	`70.9664711`
`made_medical_consultation_no`	`float64`	Made medical consultation? No	`29.0335289`
`persons_reporting_health_problem_in_last_4_weeks_000s`	`float64`	Persons reporting health problem in last 4 weeks (000s)	`3669.360614`
`source_provider`	`string`	Publishing organization.	`NISR`
`source_dataset`	`string`	Source dataset title.	`Table 3.2: Percentage (%) of population reporting health problem and me...`
`source_resource`	`string`	Source table name.	`eicv7_main_indicators_table3.2`
`source_package_id`	`string`	Rwanda Data Sharing Platform dataset UUID.	`663f5ace-a725-45cc-8608-cbadc6d1405a`
`source_resource_id`	`string`	Rwanda Data Sharing Platform dataset UUID.	`663f5ace-a725-45cc-8608-cbadc6d1405a`
`source_url`	`string`	Original source download URL.	`https://api.data.gov.rw/api/v1/datasets/public/663f5ace-a725-45cc-8608-...`
`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-table-3-2-percentage-of-population-reporting-health-proble-b29a30d5")
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_table_3_2_percentage_of_population_reporting_health_proble_b29a30d_2026,
  title        = {Table 3.2: Percentage (%) of population reporting health problem and medical consultation status according to area of residence, province, consumption quintile and sex | Africa (Rwanda Data Sharing Platform - NISR)},
  author       = {NISR},
  year         = {2026},
  url          = {https://api.data.gov.rw/api/v1/datasets/public/663f5ace-a725-45cc-8608-cbadc6d1405a},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-rwanda-table-3-2-percentage-of-population-reporting-health-proble-b29a30d5}}
}

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

Provenance: ingested 2026-07-18 via the Electric Sheep pipeline. Source URL: https://api.data.gov.rw/api/v1/datasets/public/663f5ace-a725-45cc-8608-cbadc6d1405a/download?format=csv