Highest modeled network throughput
106,033 TEU
Global port intelligence
Rank and compare ports across activity, congestion, improvement and decline.
100 ports worldwide · 7 leaderboards · modeled daily snapshot.
Highest modeled network throughput
106,033 TEU
Strongest positive activity move
+39.29%
Largest modeled negative move
−23.05%
Highest pressure in this sample
29.1 hrs wait
Strongest efficiency improvement
+19.8%
Showing 100 of 100 ports · Global · 7D · Overall activity score · Modeled daily snapshot
| Rank | Port | Region | Annual | Index | 24h | Trend | Risk | Score | Actions |
|---|---|---|---|---|---|---|---|---|---|
| 01 | USLGB · USA | North America | 9.65M | 79.7 | +14.68% | Efficient | 79.7 | ||
| 02 | CNNGB · China | Asia | 39.30M | 79.3 | +8.33% | Efficient | 79.3 | ||
| 03 | BEANR · Belgium | Europe | 13.49M | 78.2 | +9.22% | Efficient | 78.2 | ||
| 04 | EGPSD · Egypt | Africa | 4.20M | 77.9 | −0.26% | Efficient | 77.9 | ||
| 05 | MAPTM · Morocco | Africa | 10.24M | 77.6 | +2.24% | Efficient | 77.6 | ||
| 06 | SAKAC · Saudi Arabia | Middle East | 2.90M | 77.2 | +25.32% | Efficient | 77.2 | ||
| 07 | TWKHH · Taiwan | Asia | 9.50M | 76.7 | +5.36% | Efficient | 76.7 | ||
| 08 | USOAK · USA | North America | 2.20M | 76.6 | +26.61% | Efficient | 76.6 | ||
| 09 | USHOU · USA | North America | 4.14M | 76.3 | −2.68% | Efficient | 76.3 | ||
| 10 | EGALY · Egypt | Africa | 1.80M | 76.2 | +14.41% | Efficient | 76.2 | ||
| 11 | VNHPH · Vietnam | Asia | 7.20M | 75.4 | +12.54% | Efficient | 75.4 | ||
| 12 | NLRTM · Netherlands | Europe | 13.80M | 75.3 | +0.00% | Efficient | 75.3 | ||
| 13 | PAONX · Panama | Latin America | 4.30M | 75.0 | +20.19% | Efficient | 75.0 | ||
| 14 | ESALG · Spain | Europe | 4.82M | 74.9 | +0.00% | Efficient | 74.9 | ||
| 15 | USORF · USA | North America | 3.52M | 74.9 | +7.00% | Efficient | 74.9 | ||
| 16 | CNYIK · China | Asia | 5.30M | 74.8 | +0.54% | Efficient | 74.8 | ||
| 17 | TWTPE · Taiwan | Asia | 1.80M | 74.5 | +6.13% | Efficient | 74.5 | ||
| 18 | CNSZX · China | Asia | 33.38M | 74.2 | +4.51% | Efficient | 74.2 | ||
| 19 | PECLL · Peru | Latin America | 2.90M | 74.2 | −1.59% | Efficient | 74.2 | ||
| 20 | GBLGP · UK | Europe | 2.20M | 74.1 | +39.29% | Efficient | 74.1 | ||
| 21 | VNSGN · Vietnam | Asia | 8.50M | 73.5 | +21.89% | Efficient | 73.5 | ||
| 22 | ESBCN · Spain | Europe | 3.80M | 73.4 | +29.68% | Efficient | 73.4 | ||
| 23 | ESVLC · Spain | Europe | 5.50M | 73.3 | +15.98% | Efficient | 73.3 | ||
| 24 | CNTAC · China | Asia | 8.00M | 73.2 | −9.18% | Efficient | 73.2 | ||
| 25 | CNTAO · China | Asia | 30.87M | 73.1 | +4.73% | Efficient | 73.1 | ||
| 26 | SAJED · Saudi Arabia | Middle East | 5.00M | 73.1 | +17.34% | Moderate | 73.1 | ||
| 27 | FRLEH · France | Europe | 3.00M | 73.1 | −7.70% | Efficient | 73.1 | ||
| 28 | GBFXT · UK | Europe | 3.60M | 72.8 | +12.00% | Efficient | 72.8 | ||
| 29 | HKHKG · China | Asia | 13.70M | 72.7 | +7.07% | Efficient | 72.7 | ||
| 30 | CNTSN · China | Asia | 23.35M | 72.6 | −1.63% | Efficient | 72.6 | ||
| 31 | MXZLO · Mexico | North America | 3.90M | 72.6 | +11.35% | Efficient | 72.6 | ||
| 32 | COCTG · Colombia | Latin America | 3.40M | 72.3 | −4.99% | Efficient | 72.3 | ||
| 33 | ZADUR · South Africa | Africa | 2.90M | 72.3 | −7.19% | Efficient | 72.3 | ||
| 34 | CNBBW · China | Asia | 8.70M | 72.1 | −10.21% | Efficient | 72.1 | ||
| 35 | USNYC · USA | North America | 8.30M | 72.1 | −7.33% | Efficient | 72.1 | ||
| 36 | CNSZH · China | Asia | 9.50M | 72.0 | −2.96% | Efficient | 72.0 | ||
| 37 | JPYOK · Japan | Asia | 3.00M | 71.8 | −11.14% | Efficient | 71.8 | ||
| 38 | GRPIR · Greece | Europe | 5.00M | 71.7 | −3.24% | Efficient | 71.7 | ||
| 39 | TRIZM · Turkiye | Europe | 2.00M | 71.7 | +1.27% | Efficient | 71.7 | ||
| 40 | CNXMN · China | Asia | 12.55M | 70.9 | −6.83% | Efficient | 70.9 | ||
| 41 | AUMEL · Australia | Oceania | 3.30M | 70.7 | −4.33% | Efficient | 70.7 | ||
| 42 | IDJKT · Indonesia | Asia | 7.80M | 70.6 | −7.59% | Efficient | 70.6 | ||
| 43 | USSEA · USA | North America | 3.34M | 70.6 | +11.71% | Efficient | 70.6 | ||
| 44 | KRKAN · South Korea | Asia | 1.90M | 70.6 | −2.62% | Efficient | 70.6 | ||
| 45 | BRSSZ · Brazil | Latin America | 5.40M | 70.5 | +0.71% | Efficient | 70.5 | ||
| 46 | USLAX · USA | North America | 10.30M | 69.8 | +8.89% | Moderate | 69.8 | ||
| 47 | PABLB · Panama | Latin America | 3.90M | 69.6 | −12.01% | Efficient | 69.6 | ||
| 48 | IRBND · Iran | Middle East | 2.60M | 69.2 | −3.62% | Efficient | 69.2 | ||
| 49 | ITGIT · Italy | Europe | 3.90M | 69.1 | +1.32% | Efficient | 69.1 | ||
| 50 | PKKHI · Pakistan | Asia | 2.10M | 68.9 | −10.75% | Efficient | 68.9 | ||
| 51 | PLGDN · Poland | Europe | 2.10M | 68.8 | −10.77% | Efficient | 68.8 | ||
| 52 | DEHAM · Germany | Europe | 7.80M | 68.6 | −13.27% | Efficient | 68.6 | ||
| 53 | CAVAN · Canada | North America | 3.50M | 68.6 | −12.61% | Efficient | 68.6 | ||
| 54 | CNRZH · China | Asia | 6.80M | 68.2 | −2.29% | Efficient | 68.2 | ||
| 55 | KRPUS · South Korea | Asia | 24.37M | 68.0 | −4.23% | Efficient | 68.0 | ||
| 56 | MTMAR · Malta | Europe | 3.20M | 68.0 | −13.38% | Efficient | 68.0 | ||
| 57 | AEKHL · UAE | Middle East | 5.50M | 67.8 | −11.49% | Efficient | 67.8 | ||
| 58 | JPNGO · Japan | Asia | 2.70M | 67.7 | +7.46% | Efficient | 67.7 | ||
| 59 | CNLYG · China | Asia | 6.20M | 67.5 | −11.18% | Efficient | 67.5 | ||
| 60 | CNDLC · China | Asia | 4.70M | 67.5 | −10.12% | Efficient | 67.5 | ||
| 61 | INMUN · India | Asia | 7.40M | 67.3 | −14.16% | Efficient | 67.3 | ||
| 62 | AUSYD · Australia | Oceania | 2.70M | 67.2 | −2.33% | Efficient | 67.2 | ||
| 63 | SADMM · Saudi Arabia | Middle East | 1.90M | 66.9 | +18.20% | Efficient | 66.9 | ||
| 64 | LKCMB · Sri Lanka | Asia | 7.78M | 66.8 | −8.74% | Efficient | 66.8 | ||
| 65 | TRMER · Turkiye | Europe | 2.30M | 66.5 | −7.25% | Efficient | 66.5 | ||
| 66 | DEBRV · Germany | Europe | 4.30M | 66.3 | −17.74% | Efficient | 66.3 | ||
| 67 | JMKIN · Jamaica | Latin America | 1.70M | 65.8 | +2.65% | Congested | 65.8 | ||
| 68 | INNSA · India | Asia | 7.05M | 65.6 | −11.59% | Efficient | 65.6 | ||
| 69 | NGLOS · Nigeria | Africa | 1.80M | 65.4 | −12.68% | Efficient | 65.4 | ||
| 70 | INMAA · India | Asia | 1.75M | 65.3 | −1.80% | Efficient | 65.3 | ||
| 71 | ECGYE · Ecuador | Latin America | 2.40M | 65.1 | +11.47% | Efficient | 65.1 | ||
| 72 | THLCH · Thailand | Asia | 9.14M | 64.8 | −3.71% | Efficient | 64.8 | ||
| 73 | OMSLL · Oman | Middle East | 4.50M | 64.8 | −14.62% | Efficient | 64.8 | ||
| 74 | KRINC · South Korea | Asia | 3.55M | 64.8 | −13.48% | Efficient | 64.8 | ||
| 75 | USSAV · USA | North America | 5.60M | 64.7 | −1.52% | Efficient | 64.7 | ||
| 76 | PHMNL · Philippines | Asia | 5.40M | 64.6 | −13.06% | Efficient | 64.6 | ||
| 77 | CNFOC · China | Asia | 3.50M | 64.1 | −9.59% | Efficient | 64.1 | ||
| 78 | KEMBA · Kenya | Africa | 1.65M | 64.0 | −11.97% | Efficient | 64.0 | ||
| 79 | JPUKB · Japan | Asia | 2.90M | 63.8 | −1.39% | Efficient | 63.8 | ||
| 80 | SGSIN · Singapore | Asia | 41.12M | 63.5 | +13.39% | Moderate | 63.5 | ||
| 81 | MXLZC · Mexico | North America | 1.70M | 63.3 | −1.40% | Efficient | 63.3 | ||
| 82 | TWTXG · Taiwan | Asia | 1.70M | 63.2 | −4.10% | Efficient | 63.2 | ||
| 83 | USCHS · USA | North America | 2.76M | 63.0 | −12.74% | Efficient | 63.0 | ||
| 84 | CAMTR · Canada | North America | 1.65M | 62.9 | −9.24% | Efficient | 62.9 | ||
| 85 | CNSHA · China | Asia | 51.51M | 62.1 | −15.74% | Efficient | 62.1 | ||
| 86 | CLSAI · Chile | Latin America | 1.70M | 61.9 | −0.96% | Efficient | 61.9 | ||
| 87 | GBSOU · UK | Europe | 1.60M | 61.5 | −11.13% | Efficient | 61.5 | ||
| 88 | MYPKG · Malaysia | Asia | 14.10M | 61.1 | −12.09% | Efficient | 61.1 | ||
| 89 | JPTYO · Japan | Asia | 4.30M | 60.6 | −21.71% | Efficient | 60.6 | ||
| 90 | JPOSA · Japan | Asia | 2.40M | 60.6 | −12.93% | Efficient | 60.6 | ||
| 91 | PTSIE · Portugal | Europe | 1.70M | 60.5 | +0.83% | Efficient | 60.5 | ||
| 92 | AEJEA · UAE | Middle East | 15.50M | 60.1 | −18.12% | Efficient | 60.1 | ||
| 93 | ITGOA · Italy | Europe | 2.70M | 60.1 | −23.05% | Efficient | 60.1 | ||
| 94 | BDCGP · Bangladesh | Asia | 3.10M | 59.5 | −12.11% | Efficient | 59.5 | ||
| 95 | PKBQM · Pakistan | Asia | 1.60M | 59.5 | −10.93% | Efficient | 59.5 | ||
| 96 | IDSUB · Indonesia | Asia | 3.60M | 59.3 | −8.06% | Efficient | 59.3 | ||
| 97 | TRAMB · Turkiye | Europe | 3.20M | 58.1 | −13.67% | Efficient | 58.1 | ||
| 98 | CNGZG · China | Asia | 25.23M | 57.8 | −17.55% | Efficient | 57.8 | ||
| 99 | MYTPP · Malaysia | Asia | 10.50M | 56.4 | −16.69% | Efficient | 56.4 | ||
| 100 | VNCMT · Vietnam | Asia | 6.10M | 52.0 | −21.09% | Efficient | 52.0 |
Modeled scenario · not live. Port rankings, scores, movement, throughput, wait times, utilization and risk readings on this prototype are illustrative. Production rankings should display verified source, last-updated and methodology metadata.