Data for 2019
Imports of Goods and Services (% of GDP), 2019
2019, as World Bank Group’s 2026 release gives it · stored as published, never rewritten
Imports of Goods and Services (% of GDP), 2019 covers 183 countries. Hong Kong is highest, at 176.0922; Cuba is lowest, at 10.6075. The middle country reads 41.4696. Against 2018, 183 values changed (67 up, 116 down), 2 left.
Imports of Goods and Services (% of GDP) · Data for 2019
HighestHong Kong
176.0922LowestCuba
10.6075Shaded by value in five groups of equal size, darkest at the highest end.
01Position · derived
The table
Every country and every column of Imports of Goods and Services (% of GDP), 2019, 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 183 countries · select a heading to sort
| derived | ||
|---|---|---|
| 1 | HKGEastern Asia | 176.0922 |
| 2 | LUXWestern Europe | 176.0806 |
| 3 | DJIEastern Africa | 154.2214 |
| 4 | SGPSouth-eastern Asia | 147.4510 |
| 5 | SMRSouthern Europe | 143.2675 |
| 6 | IRLNorthern Europe | 126.4283 |
| 7 | MHLMicronesia | 115.9459 |
| 8 | MLTSouthern Europe | 108.5504 |
| 9 | VIRCaribbean | 100.4611 |
| 10 | NRUMicronesia | 95.5117 |
| 11 | ASMPolynesia | 94.8995 |
| 12 | LSOSouthern Africa | 94.3073 |
| 13 | SVKEastern Europe | 91.8785 |
| 14 | SYCEastern Africa | 91.0516 |
| 15 | KIRMicronesia | 83.3677 |
| 16 | BELWestern Europe | 82.4981 |
| 17 | VNMSouth-eastern Asia | 79.5466 |
| 18 | HUNEastern Europe | 78.8599 |
| 19 | PLWMicronesia | 77.1751 |
| 20 | MKDSouthern Europe | 76.1682 |
| 21 | SVNSouthern Europe | 75.6872 |
| 22 | NLDWestern Europe | 75.3557 |
| 23 | CYPWestern Asia | 74.7473 |
| 24 | MDVSouthern Asia | 71.6118 |
| 25 | LTUNorthern Europe | 71.5563 |
| 26 | ABWCaribbean | 71.2202 |
| 27 | FSMMicronesia | 71.1392 |
| 28 | AREWestern Asia | 70.5198 |
| 29 | MOZEastern Africa | 68.4491 |
| 30 | ATGCaribbean | 68.3731 |
| 31 | ESTNorthern Europe | 68.3330 |
| 32 | MUSEastern Africa | 67.5950 |
| 33 | CZEEastern Europe | 66.0298 |
| 34 | TONPolynesia | 65.8121 |
| 35 | BLREastern Europe | 65.7558 |
| 36 | MNESouthern Europe | 65.6923 |
| 37 | MNGEastern Asia | 65.1793 |
| 38 | GEOWestern Asia | 63.5058 |
| 39 | LVANorthern Europe | 62.7548 |
| 40 | BHRWestern Asia | 62.3231 |
| 41 | MNPMicronesia | 62.2561 |
| 42 | BGREastern Europe | 60.9598 |
| 43 | KGZCentral Asia | 60.9538 |
| 44 | KHMSouth-eastern Asia | 60.2898 |
| 45 | FJIMelanesia | 60.0480 |
| 46 | HNDCentral America | 59.2410 |
| 47 | SRBSouthern Europe | 58.6163 |
| 48 | MYSSouth-eastern Asia | 57.7508 |
| 49 | SOMEastern Africa | 57.2320 |
| 50 | CPVWestern Africa | 56.8976 |
| 51 | CHEWestern Europe | 56.8741 |
| 52 | MDAEastern Europe | 56.4412 |
| 53 | XKXSouthern Europe | 56.4408 |
| 54 | TUNNorthern Africa | 56.3823 |
| 55 | GUMMicronesia | 55.8143 |
| 56 | ARMWestern Asia | 55.5844 |
| 57 | BIHSouthern Europe | 54.4761 |
| 58 | VUTMelanesia | 54.3672 |
| 59 | PSEWestern Asia | 53.4724 |
| 60 | DNKNorthern Europe | 52.9409 |
| 61 | FRONorthern Europe | 52.8535 |
| 62 | AUTWestern Europe | 52.3115 |
| 63 | GRLNorthern America | 51.1481 |
| 64 | MRTWestern Africa | 51.0892 |
| 65 | HRVSouthern Europe | 50.9034 |
| 66 | STPMiddle Africa | 50.8552 |
| 67 | BRNSouth-eastern Asia | 50.5636 |
| 68 | BLZCentral America | 50.4229 |
| 69 | THASouth-eastern Asia | 50.1706 |
| 70 | TLSSouth-eastern Asia | 49.3999 |
| 71 | UKREastern Europe | 49.2795 |
| 72 | NICCentral America | 49.2378 |
| 73 | POLEastern Europe | 48.9681 |
| 74 | WSMPolynesia | 48.2977 |
| 75 | PRICaribbean | 46.9926 |
| 76 | SLBMelanesia | 46.5016 |
| 77 | NAMSouthern Africa | 46.5003 |
| 78 | SLVCentral America | 46.0861 |
| 79 | BWASouthern Africa | 46.0052 |
| 80 | CYMCaribbean | 45.3675 |
| 81 | BTNSouthern Asia | 44.6660 |
| 82 | ROUEastern Europe | 44.5712 |
| 83 | SWENorthern Europe | 44.4625 |
| 84 | ALBSouthern Europe | 44.4460 |
| 85 | GNQMiddle Africa | 43.7480 |
| 86 | GINWestern Africa | 43.3733 |
| 87 | PRTSouthern Europe | 43.1179 |
| 88 | PYFPolynesia | 42.7138 |
| 89 | LBNWestern Asia | 42.2832 |
| 90 | MARNorthern Africa | 41.9051 |
| 91 | SWZSouthern Africa | 41.8793 |
| 92 | NPLSouthern Asia | 41.4696 |
| 93 | TJKCentral Asia | 41.0651 |
| 94 | GRCSouthern Europe | 41.0298 |
| 95 | PHLSouth-eastern Asia | 40.4589 |
| 96 | PANCentral America | 40.2145 |
| 97 | FINNorthern Europe | 39.9458 |
| 98 | NCLMelanesia | 39.8810 |
| 99 | KWTWestern Asia | 39.6275 |
| 100 | GHAWestern Africa | 39.3752 |
| 101 | SENWestern Africa | 39.2531 |
| 102 | ISLNorthern Europe | 39.0785 |
| 103 | MEXCentral America | 38.9323 |
| 104 | UZBCentral Asia | 37.9896 |
| 105 | QATWestern Asia | 37.8575 |
| 106 | OMNWestern Asia | 36.9853 |
| 107 | AZEWestern Asia | 36.7675 |
| 108 | DEUWestern Europe | 36.7330 |
| 109 | LBYNorthern Africa | 36.6386 |
| 110 | GMBWestern Africa | 35.8320 |
| 111 | COGMiddle Africa | 35.3769 |
| 112 | PRYSouth America | 35.1349 |
| 113 | KOREastern Asia | 34.4057 |
| 114 | CAFMiddle Africa | 34.3104 |
| 115 | MDGEastern Africa | 34.1769 |
| 116 | ZMBEastern Africa | 34.1550 |
| 117 | BENWestern Africa | 34.0508 |
| 118 | HTICaribbean | 34.0110 |
| 119 | CANNorthern America | 33.8187 |
| 120 | BHSCaribbean | 33.8058 |
| 121 | FRAWestern Europe | 33.5394 |
| 122 | NORNorthern Europe | 33.1852 |
| 123 | GBRNorthern Europe | 33.1007 |
| 124 | MACEastern Asia | 32.5845 |
| 125 | CODMiddle Africa | 32.4486 |
| 126 | TGOWestern Africa | 32.4331 |
| 127 | MLIWestern Africa | 32.2715 |
| 128 | ESPSouthern Europe | 31.6907 |
| 129 | GNBWestern Africa | 31.6629 |
| 130 | CRICentral America | 31.2722 |
| 131 | MWIEastern Africa | 31.2060 |
| 132 | BFAWestern Africa | 31.1510 |
| 133 | IRQWestern Asia | 30.9381 |
| 134 | CHLSouth America | 29.7346 |
| 135 | TURWestern Asia | 29.5486 |
| 136 | COMEastern Africa | 29.4946 |
| 137 | SYRWestern Asia | 28.9894 |
| 138 | KAZCentral Asia | 28.4196 |
| 139 | GTMCentral America | 27.9048 |
| 140 | SLEWestern Africa | 27.8678 |
| 141 | ITASouthern Europe | 27.7443 |
| 142 | LKASouthern Asia | 27.6020 |
| 143 | DOMCaribbean | 27.5876 |
| 144 | ISRWestern Asia | 27.4428 |
| 145 | NERWestern Africa | 27.3332 |
| 146 | NZLAustralia and New Zealand | 27.1410 |
| 147 | RWAEastern Africa | 26.8623 |
| 148 | ZAFSouthern Africa | 26.6959 |
| 149 | IRNSouthern Asia | 26.2771 |
| 150 | DZANorthern Africa | 26.0989 |
| 151 | BMUNorthern America | 25.8167 |
| 152 | BOLSouth America | 25.7735 |
| 153 | SAUWestern Asia | 24.6346 |
| 154 | EGYNorthern Africa | 24.4800 |
| 155 | ECUSouth America | 24.0342 |
| 156 | CMRMiddle Africa | 23.5284 |
| 157 | AGOMiddle Africa | 23.4212 |
| 158 | PERSouth America | 22.9044 |
| 159 | UGAEastern Africa | 22.2520 |
| 160 | CIVWestern Africa | 21.9999 |
| 161 | GABMiddle Africa | 21.9970 |
| 162 | AUSAustralia and New Zealand | 21.9392 |
| 163 | URYSouth America | 21.8395 |
| 164 | TCDMiddle Africa | 21.7093 |
| 165 | COLSouth America | 21.6905 |
| 166 | INDSouthern Asia | 21.2411 |
| 167 | ETHEastern Africa | 20.8753 |
| 168 | RUSEastern Europe | 20.7953 |
| 169 | KENEastern Africa | 20.3315 |
| 170 | PAKSouthern Asia | 19.5147 |
| 171 | IDNSouth-eastern Asia | 19.0362 |
| 172 | ZWEEastern Africa | 18.4840 |
| 173 | BGDSouthern Asia | 18.4833 |
| 174 | SDNNorthern Africa | 17.6666 |
| 175 | JPNEastern Asia | 17.3205 |
| 176 | CHNEastern Asia | 17.3146 |
| 177 | TZAEastern Africa | 16.9818 |
| 178 | BRASouth America | 14.7673 |
| 179 | ARGSouth America | 14.7057 |
| 180 | USANorthern America | 14.4693 |
| 181 | TKMCentral Asia | 12.9668 |
| 182 | VENSouth America | 10.9331 |
| 183 | CUBCaribbean | 10.6075 |
02In 2019
At either end
The 5 countries at each end of the headline.
Highest
- 1
Hong Kong176.0922
- 2
Luxembourg176.0806
- 3
Djibouti154.2214
- 4
Singapore147.4510
- 5
San Marino143.2675
Lowest
- 183
Cuba10.6075
- 182
Venezuela10.9331
- 181
Turkmenistan12.9668
- 180
United States14.4693
- 179
Argentina14.7057
Neither end is better. The values describe a shape, not a score. The middle country reads 41.4696. “Shared” marks a value another country also holds.
032018 → 2019
Since 2018
What changed between 2018 and this one: who joined or left, and how far the headline moved.
- +0 / −2countries joined / left
- 183values changed, of 183 in both
- 67 · 116rose · fell
- 0unchanged
Rose most
Ireland96.4850 → 126.4283+29.9433
Marshall Islands88.7565 → 115.9459+27.1894
Libya24.1676 → 36.6386+12.4710
Luxembourg164.6472 → 176.0806+11.4334
Djibouti143.7789 → 154.2214+10.4425
Fell most
Timor-Leste61.8877 → 49.3999−12.4877
Hong Kong188.5533 → 176.0922−12.4611
Mozambique79.0764 → 68.4491−10.6273
Zimbabwe28.3863 → 18.4840−9.9023
American Samoa103.5994 → 94.8995−8.6998
Both years come from the same release, so a difference here is a change in the data, not a revision of it. Every country’s full history is charted on the statistic page.
04Caveats
Read before you use
What this edition’s numbers are and are not, worked out from the file itself.
One year of the 2026 release
Every year in this series comes from World Bank Group’s 2026 release, recalculated on one method. It can differ from what was first published for 2019.
The position is ours
World Bank Group publishes values only; the order is this site’s.
Nothing missing
Every one of the 183 countries has every column.
05The files
Download and cite
The table as a file, digit for digit, what this site changed, and a citation for this edition.
- .csv
For a spreadsheet or code
183 rows · 7.0 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download imports-to-gdp-2019-nations-inquiry.csv - ↗
The publisher’s original
World Bank Group’s own file, on its own site.
NE.IMP.GNFS.ZS
What this site changed: Reshaped into one row per country: regional and income-group totals are left out, only the columns listed are kept, each row gets its ISO 3166 code, and some country names are brought to one spelling. No value is recalculated, rescaled or rounded.
Licence: CC BY 4.0 · what it allows, in plain words
Cite this edition
World Bank Group (2019). Imports of Goods and Services (% of GDP), 2019 [data set], describing 2019. As held by Nations Inquiry, https://nationsinquiry.com/datasets/imports-to-gdp/2019
0656 held
Other years
‹ The year before
Imports of Goods and Services (% of GDP), 2018185 countries
The year after ›
Imports of Goods and Services (% of GDP), 2020184 countries
All of them
Imports of Goods and Services (% of GDP): every year56 held, with the data dictionary, coverage and licence.
How it has moved, charted by country
07Questions
Imports of Goods and Services (% of GDP), 2019: questions and answers
Which country has the highest Imports as a share of GDP in Imports of Goods and Services (% of GDP), 2019?
Hong Kong, at 176.0922, of the 183 countries in the file.
What year does Imports of Goods and Services (% of GDP), 2019 describe?
2019.
How many countries does Imports of Goods and Services (% of GDP), 2019 cover?
183.
Where can I download Imports of Goods and Services (% of GDP), 2019?
On this page, as a CSV file holding every value exactly as published, or from the publisher’s own site, linked below.
Is Imports of Goods and Services (% of GDP), 2019 the newest?
No. The newest held here is Imports of Goods and Services (% of GDP), 2025.