ECCC latest river conditions (15 major Canadian rivers)
Latest instantaneous discharge (m3/s) and water level (m) per station for 15 major Canadian rivers, from Environment and Climate Change Canada's real-time hydrometric feed (Water Survey of Canada). One row per station; per-measurement observation timestamps included. Real-time values are provisional.
- Rows
- 15
- Columns
- 10
- Source cadence
- Daily
- Last refreshed
- Sep 26, 2026
- Theme
- environment
| Column | Type | Description |
|---|---|---|
| station_number | string | Water Survey of Canada station number, e.g. '08MF005' (Fraser River at Hope). Stable identifier from the hydrometric-stations collection. |
| station_name | string | Official Water Survey of Canada station name, e.g. 'FRASER RIVER AT HOPE'. |
| province | string | Province/territory code of the station (e.g. BC, ON, NT) as published by the Water Survey of Canada. |
| country_code | string | ISO 3166-1 alpha-3 country code; always 'CAN'. Join key for the 'Enrich with public data' feature. |
| latitude | float | Station latitude in decimal degrees (WGS84), from the hydrometric-stations collection. |
| longitude | float | Station longitude in decimal degrees (WGS84), from the hydrometric-stations collection. |
| discharge_m3s | float | River discharge (flow) in cubic metres per second. Daily dataset: mean of all unit values for the UTC day (HYDAT's own daily-mean definition); null when the day has no valid observations. Latest dataset: instantaneous value at discharge_observed_at_utc. (unit: m3/s) |
| discharge_observed_at_utc | string | Timestamp of the latest discharge observation (ISO 8601, UTC). |
| level_m | float | Water level in metres relative to the station datum (can be negative). Daily dataset: mean of all unit values for the UTC day; null when the day has no valid observations. Latest dataset: instantaneous value at level_observed_at_utc. (unit: m) |
| level_observed_at_utc | string | Timestamp of the latest water-level observation (ISO 8601, UTC). |
Profiled Sep 26, 2026 from snapshot 20260926T124745Z-a858e814aee0
Measured- Completeness
- 100%
- Rows
- 15
- Columns
- 10
- Columns with gaps
- 0
| Column | Missing | Distinct | Range | Distribution |
|---|---|---|---|---|
| station_numbervarchar | 0% | 16 | — |
|
| station_namevarchar | 0% | 16 | — |
|
| provincevarchar | 0% | 9 | — |
|
| country_codevarchar | 0% | 1 | — |
|
| latitudedouble | 0% | 16 | 45.35 → 67.46median 53.84 | 2 outside 1st–99th percentile |
| longitudedouble | 0% | 16 | -139.43 → -67.74median -111.52 | 2 outside 1st–99th percentile |
| discharge_m3sdouble | 0% | 15 | 60.7 → 11,000median 803 | 2 outside 1st–99th percentile |
| discharge_observed_at_utcvarchar | 0% | 7 | — |
|
| level_mdouble | 0% | 15 | 1.2 → 259.3median 5.44 | 2 outside 1st–99th percentile |
| level_observed_at_utcvarchar | 0% | 7 | — |
|
- Current
20260926T124745Z-a858e814aee0 · sha256 a858e814aee0…
15 rows · first snapshot
Point any LLM at the metadata endpoint — the documentation above is machine-readable too (JSON-LD + Croissant).
curl "https://datazimuts.com/v1/datasets/eccc_hydro/eccc_river_conditions_latest" | jq '{title, rows, columns_count, license}'import requests
ds = requests.get("https://datazimuts.com/v1/datasets/eccc_hydro/eccc_river_conditions_latest").json()
print(ds["title"], ds["rows"], "rows")
# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
print(row)API endpoint: https://datazimuts.com/v1/datasets/eccc_hydro/eccc_river_conditions_latest
Tip: fetch /llms.txt for the full machine-readable catalog.
Where this data comes from and what was made from it. Other people's work shows as counts; only shared projects are named.
Cite this snapshot
Pinned to snapshot 20260926T124745Z-a858e814aee0 and its content hash, so readers get exactly the data you used.
Environment and Climate Change Canada — Water Survey of Canada. (2026). ECCC latest river conditions (15 major Canadian rivers) [Data set, snapshot 20260926T124745Z-a858e814aee0, sha256 a858e814aee0]. Datazimuts. Retrieved 2026-09-26, from https://datazimuts.com/en/datasets/eccc_hydro/eccc_river_conditions_latest?snapshot=20260926T124745Z-a858e814aee0
@misc{dz_eccc_hydro_eccc_river_conditions_latest_a858e814,
title = {{ECCC latest river conditions (15 major Canadian rivers)}},
author = {{Environment and Climate Change Canada — Water Survey of Canada}},
year = {2026},
publisher = {Datazimuts},
howpublished = {\url{https://datazimuts.com/en/datasets/eccc_hydro/eccc_river_conditions_latest?snapshot=20260926T124745Z-a858e814aee0}},
note = {Snapshot 20260926T124745Z-a858e814aee0, sha256 a858e814aee047efa2532960b9233d489bb58fc855b4fd95e8cb6634368f9bd6; accessed 2026-09-26}
}Embed a table or a chart
Paste this into any page. The embed is pinned to the same snapshot, follows the reader's light or dark setting, and always shows the source, license and a link back.
<iframe src="https://datazimuts.com/embed/chart?dataset=eccc_hydro%2Feccc_river_conditions_latest&lang=en&theme=auto&snapshot=20260926T124745Z-a858e814aee0&x=station_number&y=latitude&agg=avg" title="ECCC latest river conditions (15 major Canadian rivers)" width="100%" height="380" style="border:0" loading="lazy"></iframe>
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