Data for 2023
Container Import Dwell Time, 2023
Figures for 2023, as World Bank Group published them · stored as published, never rewritten
Container import dwell time is how many days a full shipping container typically sits in the port where it arrives before it leaves by truck or train — the time taken by port handling, customs and other border checks together. The World Bank measures it from the tracking records of real container journeys, rather than by asking people what they think.
Container Import Dwell Time, 2023 covers 155 countries on 3 measures. Haiti is highest, at 23.2; Northern Mariana Islands is lowest, at 1.0. The middle country reads 4.4.
Container Import Dwell Time · Data for 2023
HighestHaiti
23.2LowestNorthern Mariana Islands
1.0Shaded by value in five groups of equal size, darkest at the lowest end.
01Position · derived
The table
Every country and every column of Container Import Dwell Time, 2023, as published. World Bank Group ranks nobody on this measure; the position is derived here by ordering the published values. “=” marks a shared position.
Showing 25 of 155 countries · select a heading to sort
| derived | |||||
|---|---|---|---|---|---|
| 1 | HTICaribbean | 23.2 | 42.2 | 28.1 | 10000+ |
| 2 | SDNNorthern Africa | 22.0 | 31.6 | 27.9 | 10000+ |
| 3 | CODMiddle Africa | 19.2 | 27.2 | 18.9 | 10000+ |
| 4 | ERIEastern Africa | 18.3 | 33.1 | 40.5 | 1000-10000 |
| 5 | DZANorthern Africa | 16.0 | 21.3 | 14.9 | 10000+ |
| 6 | NGAWestern Africa | 13.2 | 18.6 | 12.9 | 10000+ |
| =7 | CMRMiddle Africa | 12.1 | 18.8 | 13.1 | 10000+ |
| =7 | CUBCaribbean | 12.1 | 15.1 | 12.2 | 10000+ |
| =9 | EGYNorthern Africa | 11.6 | 19.0 | 12.8 | 10000+ |
| =9 | SYRWestern Asia | 11.6 | 17.8 | 10.4 | 10000+ |
| 11 | BENWestern Africa | 10.1 | 17.4 | 13.9 | 10000+ |
| 12 | COMEastern Africa | 9.8 | 15.8 | 12.5 | 1000-10000 |
| =13 | DJIEastern Africa | 9.5 | 15.0 | 11.0 | 10000+ |
| =13 | GABMiddle Africa | 9.5 | 13.1 | 7.2 | 10000+ |
| =15 | SENWestern Africa | 8.9 | 13.8 | 11.5 | 10000+ |
| =15 | TZAEastern Africa | 8.9 | 12.7 | 9.1 | 10000+ |
| 17 | TGOWestern Africa | 8.8 | 14.1 | 11.5 | 10000+ |
| 18 | LBNWestern Asia | 8.4 | 10.8 | 7.6 | 10000+ |
| 19 | GNBWestern Africa | 8.2 | 15.2 | 13.0 | 1000-10000 |
| =20 | BHSCaribbean | 8.1 | 12.5 | 13.5 | 1000-10000 |
| =20 | GUYSouth America | 8.1 | 11.1 | 8.0 | 1000-10000 |
| =22 | ASMPolynesia | 8.0 | 9.2 | 4.5 | 100-1000 |
| =22 | MDVSouthern Asia | 8.0 | 8.2 | 5.0 | 10000+ |
| =22 | MMRSouth-eastern Asia | 8.0 | 11.4 | 7.3 | 1000-10000 |
| =22 | STPMiddle Africa | 8.0 | 19.4 | 14.0 | 100-1000 |
| =22 | SYCEastern Africa | 8.0 | 11.1 | 10.5 | 1000-10000 |
| 27 | TUNNorthern Africa | 7.9 | 14.3 | 11.7 | 10000+ |
| 28 | PAKSouthern Asia | 7.7 | 13.2 | 9.3 | 10000+ |
| 29 | HNDCentral America | 7.5 | 9.5 | 6.2 | 10000+ |
| =30 | COGMiddle Africa | 7.0 | 9.9 | 8.3 | 10000+ |
| =30 | YEMWestern Asia | 7.0 | 9.5 | 8.9 | 10000+ |
| =32 | TTOCaribbean | 6.9 | 9.0 | 6.1 | 10000+ |
| =32 | VUTMelanesia | 6.9 | 12.1 | 15.9 | 1000-10000 |
| 34 | VIRCaribbean | 6.8 | 14.4 | 12.5 | 100-1000 |
| 35 | MRTWestern Africa | 6.7 | 10.2 | 9.7 | 10000+ |
| =36 | ARGSouth America | 6.6 | 10.0 | 3.4 | 10000+ |
| =36 | GHAWestern Africa | 6.6 | 9.7 | 8.0 | 10000+ |
| =36 | JAMCaribbean | 6.6 | 10.2 | 8.0 | 10000+ |
| =39 | BRBCaribbean | 6.4 | 8.1 | 6.0 | 1000-10000 |
| =39 | NICCentral America | 6.4 | 7.8 | 5.2 | 1000-10000 |
| =41 | GTMCentral America | 6.3 | 8.7 | 6.4 | 10000+ |
| =41 | GINWestern Africa | 6.3 | 9.0 | 7.2 | 10000+ |
| =41 | MEXCentral America | 6.3 | 8.4 | 6.3 | 10000+ |
| =41 | SOMEastern Africa | 6.3 | 10.5 | 10.0 | 10000+ |
| 45 | CUWCaribbean | 6.2 | 8.6 | 6.7 | 1000-10000 |
| =46 | CPVWestern Africa | 6.0 | 9.2 | 12.0 | 10-100 |
| =46 | LTUNorthern Europe | 6.0 | 8.2 | 9.4 | 10000+ |
| =46 | MDGEastern Africa | 6.0 | 10.0 | 7.5 | 10000+ |
| 49 | SLEWestern Africa | 5.9 | 11.1 | 9.3 | 1000-10000 |
| =50 | CYMCaribbean | 5.7 | 7.3 | 3.8 | 1000-10000 |
| =50 | SLVCentral America | 5.7 | 9.3 | 8.8 | 1000-10000 |
| =50 | MARNorthern Africa | 5.7 | 8.3 | 6.3 | 10000+ |
| =53 | CIVWestern Africa | 5.6 | 8.4 | 6.7 | 10000+ |
| =53 | ECUSouth America | 5.6 | 7.4 | 5.8 | 10000+ |
| =53 | GNQMiddle Africa | 5.6 | 11.9 | 11.7 | 1000-10000 |
| =56 | BLZCentral America | 5.5 | 6.2 | 5.1 | 1000-10000 |
| =56 | JPNEastern Asia | 5.5 | 7.8 | 7.1 | 10000+ |
| =56 | PHLSouth-eastern Asia | 5.5 | 7.4 | 5.4 | 10000+ |
| 59 | COLSouth America | 5.4 | 7.0 | 4.7 | 10000+ |
| =60 | BGDSouthern Asia | 5.3 | 7.8 | 6.1 | 10000+ |
| =60 | CRICentral America | 5.3 | 6.7 | 4.8 | 10000+ |
| =62 | BRASouth America | 5.1 | 6.9 | 6.6 | 10000+ |
| =62 | BGREastern Europe | 5.1 | 7.5 | 6.0 | 1000-10000 |
| =62 | LCACaribbean | 5.1 | 7.3 | 5.2 | 1000-10000 |
| =62 | TURWestern Asia | 5.1 | 7.5 | 6.1 | 10000+ |
| =66 | GMBWestern Africa | 5.0 | 9.3 | 8.0 | 1000-10000 |
| =66 | GEOWestern Asia | 5.0 | 9.0 | 7.5 | 10000+ |
| =66 | NCLMelanesia | 5.0 | 7.3 | 6.9 | 10000+ |
| =66 | PRICaribbean | 5.0 | 7.0 | 5.0 | 10000+ |
| 70 | DOMCaribbean | 4.9 | 7.3 | 5.8 | 10000+ |
| =71 | MOZEastern Africa | 4.8 | 6.8 | 5.3 | 10000+ |
| =71 | PANCentral America | 4.8 | 6.1 | 3.5 | 10000+ |
| =73 | LVANorthern Europe | 4.7 | 7.8 | 6.1 | 10000+ |
| =73 | OMNWestern Asia | 4.7 | 7.1 | 6.5 | 10000+ |
| =75 | KWTWestern Asia | 4.5 | 5.6 | 4.9 | 10000+ |
| =75 | NAMSouthern Africa | 4.5 | 5.8 | 4.6 | 1000-10000 |
| =77 | BHRWestern Asia | 4.4 | 6.1 | 4.8 | 1000-10000 |
| =77 | KOREastern Asia | 4.4 | 6.5 | 6.2 | 10000+ |
| 79 | POLEastern Europe | 4.3 | 5.9 | 4.4 | 10000+ |
| =80 | PYFPolynesia | 4.2 | 7.2 | 8.0 | 10000+ |
| =80 | ROUEastern Europe | 4.2 | 5.7 | 4.5 | 10000+ |
| =82 | ITASouthern Europe | 4.1 | 6.1 | 4.8 | 10000+ |
| =82 | LBRWestern Africa | 4.1 | 6.8 | 5.9 | 1000-10000 |
| =82 | ESPSouthern Europe | 4.1 | 5.9 | 5.3 | 10000+ |
| =82 | SURSouth America | 4.1 | 7.5 | 5.5 | 1000-10000 |
| =82 | AREWestern Asia | 4.1 | 5.7 | 5.8 | 10000+ |
| =82 | VENSouth America | 4.1 | 6.4 | 6.2 | 10000+ |
| =88 | ABWCaribbean | 4.0 | 8.4 | 4.0 | 1000-10000 |
| =88 | ESTNorthern Europe | 4.0 | 6.5 | 4.1 | 1000-10000 |
| =88 | FRAWestern Europe | 4.0 | 5.5 | 4.8 | 10000+ |
| =88 | JORWestern Asia | 4.0 | 6.3 | 5.1 | 10000+ |
| =88 | SWENorthern Europe | 4.0 | 5.6 | 4.9 | 10000+ |
| =93 | CHNEastern Asia | 3.9 | 5.7 | 5.5 | 10000+ |
| =93 | VNMSouth-eastern Asia | 3.9 | 6.8 | 5.5 | 10000+ |
| =95 | ALBSouthern Europe | 3.8 | 6.3 | 5.3 | 1000-10000 |
| =95 | SLBMelanesia | 3.8 | 6.2 | 7.0 | 1000-10000 |
| =95 | TWNEastern Asia | 3.8 | 5.0 | 4.6 | 10000+ |
| =95 | UKREastern Europe | 3.8 | 8.8 | 5.0 | 100-1000 |
| 99 | KHMSouth-eastern Asia | 3.7 | 6.2 | 4.0 | 10000+ |
| 100 | AGOMiddle Africa | 3.6 | 7.9 | 6.0 | 10000+ |
| =101 | FJIMelanesia | 3.5 | 4.2 | 2.3 | 1000-10000 |
| =101 | INDSouthern Asia | 3.5 | 5.3 | 6.8 | 10000+ |
| =101 | PRTSouthern Europe | 3.5 | 5.3 | 4.3 | 10000+ |
| =101 | SVNSouthern Europe | 3.5 | 4.8 | 4.7 | 10000+ |
| =105 | BELWestern Europe | 3.4 | 4.9 | 3.8 | 10000+ |
| =105 | IRQWestern Asia | 3.4 | 6.7 | 6.6 | 10000+ |
| =105 | PNGMelanesia | 3.4 | 4.5 | 3.1 | 10000+ |
| =105 | LKASouthern Asia | 3.4 | 4.7 | 3.3 | 10000+ |
| =109 | HRVSouthern Europe | 3.3 | 5.3 | 4.3 | 10000+ |
| =109 | GUMMicronesia | 3.3 | 4.2 | 4.0 | 10000+ |
| =109 | TLSSouth-eastern Asia | 3.3 | 5.3 | 3.0 | 1000-10000 |
| =112 | FINNorthern Europe | 3.2 | 5.3 | 4.9 | 10000+ |
| =112 | MNESouthern Europe | 3.2 | 5.7 | 4.6 | 1000-10000 |
| =112 | WSMPolynesia | 3.2 | 4.5 | 2.6 | 100-1000 |
| =115 | CANNorthern America | 3.1 | 4.4 | 3.8 | 10000+ |
| =115 | GRCSouthern Europe | 3.1 | 5.2 | 3.9 | 10000+ |
| =115 | MUSEastern Africa | 3.1 | 4.9 | 3.9 | 1000-10000 |
| =115 | GBRNorthern Europe | 3.1 | 4.7 | 3.6 | 10000+ |
| =115 | USANorthern America | 3.1 | 3.9 | 3.3 | 10000+ |
| =120 | ISLNorthern Europe | 3.0 | 8.8 | 8.0 | 1000-10000 |
| =120 | MYSSouth-eastern Asia | 3.0 | 5.0 | 4.7 | 10000+ |
| =120 | VCTCaribbean | 3.0 | 4.0 | 5.0 | 1000-10000 |
| =120 | THASouth-eastern Asia | 3.0 | 4.2 | 3.1 | 10000+ |
| 124 | NORNorthern Europe | 2.9 | 4.0 | 4.1 | 10000+ |
| =125 | CHLSouth America | 2.8 | 3.7 | 2.8 | 10000+ |
| =125 | DEUWestern Europe | 2.8 | 3.7 | 2.8 | 10000+ |
| =125 | MLTSouthern Europe | 2.8 | 4.0 | 3.2 | 10000+ |
| =125 | NLDWestern Europe | 2.8 | 3.8 | 2.9 | 10000+ |
| =129 | HKGEastern Asia | 2.7 | 3.4 | 3.3 | 10000+ |
| =129 | IRLNorthern Europe | 2.7 | 3.8 | 3.4 | 10000+ |
| =131 | SAUWestern Asia | 2.6 | 4.1 | 2.6 | 10000+ |
| =131 | SXMCaribbean | 2.6 | 5.7 | 6.2 | 1000-10000 |
| 133 | QATWestern Asia | 2.5 | 3.9 | 3.8 | 10000+ |
| 134 | VGBCaribbean | 2.4 | 3.9 | 3.8 | 100-1000 |
| =135 | CYPWestern Asia | 2.2 | 2.9 | 2.4 | 10000+ |
| =135 | LBYNorthern Africa | 2.2 | 5.1 | 4.0 | 10000+ |
| =137 | ATGCaribbean | 2.1 | 6.4 | 4.8 | 1000-10000 |
| =137 | GRDCaribbean | 2.1 | 3.1 | 3.0 | 1000-10000 |
| =139 | DNKNorthern Europe | 2.0 | 3.6 | 3.1 | 10000+ |
| =139 | NZLAustralia and New Zealand | 2.0 | 2.9 | 2.5 | 10000+ |
| =139 | ZAFSouthern Africa | 2.0 | 2.9 | 2.3 | 10000+ |
| 142 | TONPolynesia | 1.9 | 2.7 | 1.9 | 100-1000 |
| =143 | AUSAustralia and New Zealand | 1.8 | 2.1 | 1.8 | 10000+ |
| =143 | IDNSouth-eastern Asia | 1.8 | 2.9 | 2.8 | 10000+ |
| =143 | KENEastern Africa | 1.8 | 3.4 | 3.3 | 10000+ |
| =143 | KNACaribbean | 1.8 | 3.4 | 0.7 | 100-1000 |
| 147 | URYSouth America | 1.7 | 2.1 | 1.6 | 1000-10000 |
| 148 | DMACaribbean | 1.6 | 4.8 | 3.5 | 1000-10000 |
| 149 | PERSouth America | 1.5 | 2.6 | 1.8 | 10000+ |
| 150 | MACEastern Asia | 1.4 | 2.9 | 2.0 | 100-1000 |
| =151 | AIACaribbean | 1.3 | 1.5 | 1.0 | 100-1000 |
| =151 | BRNSouth-eastern Asia | 1.3 | 2.5 | 2.0 | 10-100 |
| 153 | MSRCaribbean | 1.2 | 1.6 | 1.9 | 100-1000 |
| 154 | SGPSouth-eastern Asia | 1.1 | 2.3 | 1.5 | 10000+ |
| 155 | MNPMicronesia | 1.0 | 1.4 | 1.5 | 1000-10000 |
02In 2023
At either end
The 5 countries at each end of the headline, then the highest and lowest on each other measure.
Lowest
- 155
Northern Mariana Islands1.0
- 154
Singapore1.1
- 153
Montserrat1.2
- 151
Bruneishared1.3
- 151
Anguillashared1.3
A higher value is the worse result. The middle country reads 4.4. “Shared” marks a value another country also holds.
Each measure’s ends
Mean days
Highest
Haiti42.2
Lowest
Northern Mariana Islands1.4
Middle country: 6.8
Interquartile range, P75 − P25 (days)
Highest
Eritrea40.5
Lowest
Saint Kitts and Nevis0.7
Middle country: 5.3
03Caveats
Read before you use
75 distinct values among 155
Values are stored exactly as published, to 1 decimal. 6 countries share 4.1. Countries sharing a value share a position too.
Nothing missing
Every one of the 155 countries has every column.
04The files
Download and cite
- .csv
For a spreadsheet or code
155 rows · 6.5 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download container-import-dwell-time-2023-nations-inquiry.csv - ↗
The publisher’s original
World Bank Group’s own file, on its own site.
WB_LPI_20_WIDEF.csv
What this site changed: Reshaped to one row per country, with its ISO code; no value recalculated, rescaled or rounded. In full
Licence: CC BY 4.0 · what it allows, in plain words
Cite this edition
World Bank Group (2023). Container Import Dwell Time, 2023 [data set], describing 2023. As held by Nations Inquiry, https://nationsinquiry.com/datasets/container-import-dwell-time/2023
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