| # | date | location | metric | value | unit |
|---|---|---|---|---|---|
| loading... | |||||
| COLUMN | TYPE | DESCRIPTION | UNIT |
|---|---|---|---|
| date | date | Quarter-end date (e.g. 2024-06-30 for Q2 2024). | - |
| location | string | WASAC operational area / district (e.g. "Kigali City", "Musanze"). | - |
| metric | string | "supplied" (into the network) or "billed" (to customers). The gap is non-revenue water. | - |
| value | float64 | Water volume for the quarter. | m3 |
| unit | string | Always "m3" (cubic metres). | - |
import imibare as imi
df = imi.load("rw.rura.water-distribution.quarterly")
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_rura_water-distribution_quarterly LIMIT 10").show()curl -L "https://api.imibare.org/v1/data/rw.rura.water-distribution.quarterly/download" \
-o "rw.rura.water-distribution.quarterly.parquet"# List all datasets
curl "https://api.imibare.org/v1/datasets"
# Get metadata for this dataset
curl "https://api.imibare.org/v1/datasets/rw.rura.water-distribution.quarterly"Every version is a change in the data, and every one is retained; snapshots are never overwritten. Each entry is a dated Parquet snapshot in the dataset's versions/ archive.
- 2026-07-05 Jul 5, 2026 LATEST390 rows · 6.1 KB · initial version
imibare contributors. (2026). Water Supplied vs Billed [Data set]. imibare. v2026-07-05. https://imibare.org/datasets/rw.rura.water-distribution.quarterly
@dataset{imibare_rw_rura_water-distribution_quarterly, author = {imibare contributors}, title = {Water Supplied vs Billed}, year = {2026}, publisher = {imibare}, version = {v2026-07-05}, url = {https://imibare.org/datasets/rw.rura.water-distribution.quarterly} }
imibare contributors. Water Supplied vs Billed. v2026-07-05. imibare, 2026. https://imibare.org/datasets/rw.rura.water-distribution.quarterly.
imibare contributors. Water Supplied vs Billed. v2026-07-05, imibare, 2026, https://imibare.org/datasets/rw.rura.water-distribution.quarterly.