Paranaguá Port Congestion

Reference congestion, ETA delay, waiting vessels and demurrage for Paranaguá (BRPNG), Brasil.

Congestion signal for Paranaguá (BRPNG), Brasil — Live line-up from APPA Paranaguá., data_source=live:appa updated at 2026-09-19 16:22:00.

Score0.50
ETA delay7.6d
Waiting31
Demurrage$64,840

What this data means

24 / 48 / 72h projection

24h0.58
48h0.63
72h0.66
Trendacelerando
Example response
{
  "port_id": "BRPNG",
  "port_name": "Paranaguá",
  "country": "Brasil",
  "congestion_score": 0.504,
  "eta_delay_days": 7.6,
  "waiting_vessels": 31,
  "freight_volatility_index": 0.74,
  "estimated_daily_demurrage_usd": 64840,
  "updated_at": "2026-09-19 16:22:00",
  "as_of": "2026-09-19 16:22:00",
  "data_source": "live:appa",
  "data_source_label": "Live line-up from APPA Paranaguá.",
  "live_detail": "{\"ao_largo\": 31, \"esperados\": 151, \"atracados\": 19, \"programados\": 23}",
  "validation": {
    "source": "antaq_estatistico_aquaviario",
    "ano": 2026,
    "mes": "jan",
    "n_atracacoes": 220,
    "n_com_imo": 218,
    "espera_atracacao_h_avg": 140.5,
    "espera_atracacao_h_med": 42.9,
    "espera_atracacao_h_p90": 344.9,
    "atracado_h_avg": 48.1,
    "estadia_h_avg": 185.0,
    "validado_em": "2026-09-19 01:49:06"
  },
  "live": {
    "ao_largo": 31,
    "esperados": 151,
    "atracados": 19,
    "programados": 23
  },
  "historical_expected_wait_h": 182.4,
  "p90_wait_h": 588.4,
  "confidence": 0.52,
  "paired_windows": 1,
  "fonte": "calibracao_v1_antaq+observacao_fila",
  "semantica": "espera historica ANTAQ + fila observada",
  "expected_demurrage_usd": 243200,
  "p90_demurrage_usd": 784533,
  "signal": {
    "level": "ELEVATED OPERATIONAL PRESSURE",
    "live_observation": true,
    "queue_vessels": 31,
    "expected_delay_days": 7.6,
    "demurrage_expected_usd": 243200,
    "demurrage_p90_usd": 784533,
    "confidence": 0.52,
    "provenance": "calibracao_v1_antaq+observacao_fila",
    "decision_implication": "Current conditions indicate elevated operational pressure at Paranaguá. Use caution when making schedule-sensitive routing, vessel-scheduling or demurrage-sensitive decisions.",
    "as_of": "2026-09-19 16:22:00"
  }
}

Track Paranaguá programmatically

Python SDK
pip install --upgrade aetherx-oracle

from aetherx import OracleClient

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

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

Get a free API key