Busan Port Congestion

Reference congestion, ETA delay, waiting vessels and demurrage for Busan (KRPUS), Coreia do Sul.

Congestion signal for Busan (KRPUS), Coreia do Sul — Static reference seed (not live telemetry)., data_source=static_reference_seed updated at 2026-09-19 13:16:59.

What this data means

• Congestion score (0.48) — normalized 0.0–1.0 risk of operational congestion.
• ETA delay (0.9 days) — expected delay applied to incoming vessels.
• Waiting vessels (8) — ships anchored or queued at the port.
• Freight volatility (0.33) — pressure indicator for freight pricing.
• Daily demurrage ($51,200) — estimated cost for a vessel queued at the port.

24 / 48 / 72h projection

{
  "port_id": "KRPUS",
  "port_name": "Busan",
  "country": "Coreia do Sul",
  "congestion_score": 0.48,
  "eta_delay_days": 0.9,
  "waiting_vessels": 8,
  "freight_volatility_index": 0.33,
  "estimated_daily_demurrage_usd": 51200,
  "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 Busan programmatically

pip install --upgrade aetherx-oracle

from aetherx import OracleClient

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

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