Rotterdam Port Congestion

Reference congestion, ETA delay, waiting vessels and demurrage for Rotterdam (NLRTM), Holanda.

Congestion signal for Rotterdam (NLRTM), Holanda — Static reference seed (not live telemetry)., data_source=static_reference_seed updated at 2026-09-19 13:16:59.

Score0.40

ETA delay0.8d

Waiting6

Demurrage$48,000

What this data means

Congestion score (0.40) — normalized 0.0–1.0 risk of operational congestion.
ETA delay (0.8 days) — expected delay applied to incoming vessels.
Waiting vessels (6) — ships anchored or queued at the port.
Freight volatility (0.29) — pressure indicator for freight pricing.
Daily demurrage ($48,000) — estimated cost for a vessel queued at the port.

24 / 48 / 72h projection

24h0.39

48h0.39

72h0.38

Trenddescongestionando

Example response

{
  "port_id": "NLRTM",
  "port_name": "Rotterdam",
  "country": "Holanda",
  "congestion_score": 0.4,
  "eta_delay_days": 0.8,
  "waiting_vessels": 6,
  "freight_volatility_index": 0.29,
  "estimated_daily_demurrage_usd": 48000,
  "updated_at": "2026-09-19 13:16:59",
  "as_of": "2026-09-19 13:16:59",
  "data_source": "static_reference_seed",
  "data_source_label": "Static reference seed (not live telemetry).",
  "live_detail": null,
  "validation": null
}

Track Rotterdam programmatically

Python SDK

pip install --upgrade aetherx-oracle

from aetherx import OracleClient

client = OracleClient(api_key="YOUR_RAPIDAPI_KEY")
risk = client.get_port_risk("NLRTM")
print(risk.congestion_score, risk.eta_delay_days)

Add the 24/48/72h trend with client.get_port_trend("NLRTM"), or monitor several ports at once with client.get_ports_risk(["NLRTM", "CNSHA"]). AI agents can consume the same data via the Aether-X MCP server.

Get a free API key