Health Service Utilization

Health service utilization metrics for Rwanda sourced from Tables 3.7.1, 3.7.2, and 3.8.1 of the Rwanda Statistical Yearbook 2025. Three topics: gbv (Gender-Based Violence cases at Isange One Stop centers by type -- physical violence, sexual violence, national total -- and sex, 2019-2024); curative_utilization (targeted population, outpatient new cases by facility type and grand total, and per-capita utilization rate, 2019-2023); outpatient_visits (total outpatient visits by service level -- health centers, district/provincial hospitals, CHW home-based care, referral hospitals, private facilities -- 2020-2023). All tables are national level only.

SCHEMA · 6 columns

COLUMN	TYPE	DESCRIPTION	UNIT
year	int64	Calendar year. GBV covers 2019-2024; curative_utilization 2019-2023; outpatient_visits 2020-2023.	-
topic	string	Data topic -- 'gbv' (Table 3.7.1, GBV cases at Isange One Stop centers), 'curative_utilization' (Table 3.7.2, outpatient new cases by facility type and per-capita utilization rate), or 'outpatient_visits' (Table 3.8.1, total outpatient visits by service level).	-
category	string	Context-dependent dimension value. For topic='gbv': gbv_type slug (physical_violence, sexual_violence, total). For topic='curative_utilization': facility_type slug (community_owned, dispensary, medical_clinic, private_hospital, prison_clinic, health_center, chw_home_based, district_provincial_hospital, referral_hospital, health_post, total) or 'national' for targeted_population and utilization_rate rows. For topic='outpatient_visits': facility_type slug (health_centers, district_provincial_hospital, chw_home_based, referral_hospital, private, total).	-
metric	string	What is being measured. For gbv: sex dimension (male, female, total). For curative_utilization: new_cases (outpatient new cases count), targeted_population (national target population count), or utilization_rate (per-capita visits per year, unit='rate'). For outpatient_visits: visits (total outpatient visit count).	-
value	float64	Numeric value. Counts are absolute headcounts; utilization_rate is a float ratio.	mixed (see unit column)
unit	string	Unit of measure -- 'count' for absolute headcounts (GBV cases, new cases, visits, targeted population) or 'rate' for per-capita utilization rate (curative_utilization, metric=utilization_rate).	-

ACCESS

import imibare as imi

df = imi.load("rw.nisr.health-service-utilization.annual")
print(df.head())

import duckdb

duckdb.sql("""
    ATTACH 'https://catalog.cloudflarestorage.com/imibare-data'
    AS imi (TYPE ICEBERG, READ_ONLY)
""")

duckdb.sql("SELECT * FROM imi.rw_nisr_health-service-utilization_annual LIMIT 10").show()

curl -L "https://api.imibare.org/v1/data/rw.nisr.health-service-utilization.annual/download" \
  -o "rw.nisr.health-service-utilization.annual.parquet"

# List all datasets
curl "https://api.imibare.org/v1/datasets"

# Get metadata for this dataset
curl "https://api.imibare.org/v1/datasets/rw.nisr.health-service-utilization.annual"